diff --git a/audio/5.0/config/api/current.txt b/audio/5.0/config/api/current.txt
index 8458a56..dbb5d3b 100644
--- a/audio/5.0/config/api/current.txt
+++ b/audio/5.0/config/api/current.txt
@@ -199,7 +199,7 @@
   public static class DevicePorts.DevicePort {
     ctor public DevicePorts.DevicePort();
     method public String getAddress();
-    method public java.util.List<audio.policy.configuration.V5_0.AudioFormat> getEncodedFormats();
+    method public java.util.List<java.lang.String> getEncodedFormats();
     method public audio.policy.configuration.V5_0.Gains getGains();
     method public java.util.List<audio.policy.configuration.V5_0.Profile> getProfile();
     method public audio.policy.configuration.V5_0.Role getRole();
@@ -207,7 +207,7 @@
     method public String getType();
     method public boolean get_default();
     method public void setAddress(String);
-    method public void setEncodedFormats(java.util.List<audio.policy.configuration.V5_0.AudioFormat>);
+    method public void setEncodedFormats(java.util.List<java.lang.String>);
     method public void setGains(audio.policy.configuration.V5_0.Gains);
     method public void setRole(audio.policy.configuration.V5_0.Role);
     method public void setTagName(String);
@@ -380,10 +380,10 @@
 
   public static class SurroundFormats.Format {
     ctor public SurroundFormats.Format();
-    method public audio.policy.configuration.V5_0.AudioFormat getName();
-    method public java.util.List<audio.policy.configuration.V5_0.AudioFormat> getSubformats();
-    method public void setName(audio.policy.configuration.V5_0.AudioFormat);
-    method public void setSubformats(java.util.List<audio.policy.configuration.V5_0.AudioFormat>);
+    method public String getName();
+    method public java.util.List<java.lang.String> getSubformats();
+    method public void setName(String);
+    method public void setSubformats(java.util.List<java.lang.String>);
   }
 
   public class SurroundSound {
diff --git a/audio/5.0/config/audio_policy_configuration.xsd b/audio/5.0/config/audio_policy_configuration.xsd
index b0d1e20..f92136c 100644
--- a/audio/5.0/config/audio_policy_configuration.xsd
+++ b/audio/5.0/config/audio_policy_configuration.xsd
@@ -611,13 +611,13 @@
         </xs:sequence>
     </xs:complexType>
     <xs:simpleType name="audioFormatsList">
-        <xs:list itemType="audioFormat" />
+        <xs:list itemType="extendableAudioFormat" />
     </xs:simpleType>
     <xs:complexType name="surroundFormats">
         <xs:sequence>
             <xs:element name="format" minOccurs="0" maxOccurs="unbounded">
                 <xs:complexType>
-                    <xs:attribute name="name" type="audioFormat" use="required"/>
+                    <xs:attribute name="name" type="extendableAudioFormat" use="required"/>
                     <xs:attribute name="subformats" type="audioFormatsList" />
                 </xs:complexType>
             </xs:element>
diff --git a/audio/6.0/config/api/current.txt b/audio/6.0/config/api/current.txt
index 6b49e5e..01db90e 100644
--- a/audio/6.0/config/api/current.txt
+++ b/audio/6.0/config/api/current.txt
@@ -133,6 +133,7 @@
     enum_constant public static final audio.policy.configuration.V6_0.AudioFormat AUDIO_FORMAT_LDAC;
     enum_constant public static final audio.policy.configuration.V6_0.AudioFormat AUDIO_FORMAT_LHDC;
     enum_constant public static final audio.policy.configuration.V6_0.AudioFormat AUDIO_FORMAT_LHDC_LL;
+    enum_constant public static final audio.policy.configuration.V6_0.AudioFormat AUDIO_FORMAT_MAT;
     enum_constant public static final audio.policy.configuration.V6_0.AudioFormat AUDIO_FORMAT_MAT_1_0;
     enum_constant public static final audio.policy.configuration.V6_0.AudioFormat AUDIO_FORMAT_MAT_2_0;
     enum_constant public static final audio.policy.configuration.V6_0.AudioFormat AUDIO_FORMAT_MAT_2_1;
@@ -198,7 +199,7 @@
   public static class DevicePorts.DevicePort {
     ctor public DevicePorts.DevicePort();
     method public String getAddress();
-    method public java.util.List<audio.policy.configuration.V6_0.AudioFormat> getEncodedFormats();
+    method public java.util.List<java.lang.String> getEncodedFormats();
     method public audio.policy.configuration.V6_0.Gains getGains();
     method public java.util.List<audio.policy.configuration.V6_0.Profile> getProfile();
     method public audio.policy.configuration.V6_0.Role getRole();
@@ -206,7 +207,7 @@
     method public String getType();
     method public boolean get_default();
     method public void setAddress(String);
-    method public void setEncodedFormats(java.util.List<audio.policy.configuration.V6_0.AudioFormat>);
+    method public void setEncodedFormats(java.util.List<java.lang.String>);
     method public void setGains(audio.policy.configuration.V6_0.Gains);
     method public void setRole(audio.policy.configuration.V6_0.Role);
     method public void setTagName(String);
@@ -390,10 +391,10 @@
 
   public static class SurroundFormats.Format {
     ctor public SurroundFormats.Format();
-    method public audio.policy.configuration.V6_0.AudioFormat getName();
-    method public java.util.List<audio.policy.configuration.V6_0.AudioFormat> getSubformats();
-    method public void setName(audio.policy.configuration.V6_0.AudioFormat);
-    method public void setSubformats(java.util.List<audio.policy.configuration.V6_0.AudioFormat>);
+    method public String getName();
+    method public java.util.List<java.lang.String> getSubformats();
+    method public void setName(String);
+    method public void setSubformats(java.util.List<java.lang.String>);
   }
 
   public class SurroundSound {
diff --git a/audio/6.0/config/audio_policy_configuration.xsd b/audio/6.0/config/audio_policy_configuration.xsd
index 341c6b3..c2b8c5d 100644
--- a/audio/6.0/config/audio_policy_configuration.xsd
+++ b/audio/6.0/config/audio_policy_configuration.xsd
@@ -363,6 +363,7 @@
             <xs:enumeration value="AUDIO_FORMAT_AC4"/>
             <xs:enumeration value="AUDIO_FORMAT_LDAC"/>
             <xs:enumeration value="AUDIO_FORMAT_E_AC3_JOC"/>
+            <xs:enumeration value="AUDIO_FORMAT_MAT"/>
             <xs:enumeration value="AUDIO_FORMAT_MAT_1_0"/>
             <xs:enumeration value="AUDIO_FORMAT_MAT_2_0"/>
             <xs:enumeration value="AUDIO_FORMAT_MAT_2_1"/>
@@ -613,13 +614,13 @@
         </xs:sequence>
     </xs:complexType>
     <xs:simpleType name="audioFormatsList">
-        <xs:list itemType="audioFormat" />
+        <xs:list itemType="extendableAudioFormat" />
     </xs:simpleType>
     <xs:complexType name="surroundFormats">
         <xs:sequence>
             <xs:element name="format" minOccurs="0" maxOccurs="unbounded">
                 <xs:complexType>
-                    <xs:attribute name="name" type="audioFormat" use="required"/>
+                    <xs:attribute name="name" type="extendableAudioFormat" use="required"/>
                     <xs:attribute name="subformats" type="audioFormatsList" />
                 </xs:complexType>
             </xs:element>
diff --git a/audio/7.0/IStream.hal b/audio/7.0/IStream.hal
index ab9aa7d..393e38f 100644
--- a/audio/7.0/IStream.hal
+++ b/audio/7.0/IStream.hal
@@ -73,14 +73,14 @@
 
     /**
      * Sets stream parameters. Only sets parameters that are specified.
-     * See the description of AudioConfigBase for the details.
      *
      * Optional method. If implemented, only called on a stopped stream.
      *
      * @param config basic stream configuration.
      * @return retval operation completion status.
      */
-    setAudioProperties(AudioConfigBase config) generates (Result retval);
+    setAudioProperties(AudioConfigBaseOptional config)
+            generates (Result retval);
 
     /**
      * Applies audio effect to the stream.
diff --git a/audio/7.0/config/api/current.txt b/audio/7.0/config/api/current.txt
index 0b2e4a4..653531d 100644
--- a/audio/7.0/config/api/current.txt
+++ b/audio/7.0/config/api/current.txt
@@ -198,6 +198,7 @@
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_APTX_HD;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_APTX_TWSP;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_CELT;
+    enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_DEFAULT;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_DOLBY_TRUEHD;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_DSD;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_DTS;
@@ -211,6 +212,7 @@
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_FLAC;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_HE_AAC_V1;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_HE_AAC_V2;
+    enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_IEC60958;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_IEC61937;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_LC3;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_LDAC;
@@ -222,6 +224,10 @@
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_MAT_2_1;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_MP2;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_MP3;
+    enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_MPEGH_BL_L3;
+    enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_MPEGH_BL_L4;
+    enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_MPEGH_LC_L3;
+    enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_MPEGH_LC_L4;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_OPUS;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_PCM_16_BIT;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioFormat AUDIO_FORMAT_PCM_24_BIT_PACKED;
@@ -250,7 +256,6 @@
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_INPUT_FLAG_HW_AV_SYNC;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_INPUT_FLAG_HW_HOTWORD;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_INPUT_FLAG_MMAP_NOIRQ;
-    enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_INPUT_FLAG_NONE;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_INPUT_FLAG_RAW;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_INPUT_FLAG_SYNC;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_INPUT_FLAG_VOIP_TX;
@@ -264,7 +269,6 @@
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_OUTPUT_FLAG_IEC958_NONAUDIO;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_OUTPUT_FLAG_INCALL_MUSIC;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_OUTPUT_FLAG_MMAP_NOIRQ;
-    enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_OUTPUT_FLAG_NONE;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_OUTPUT_FLAG_NON_BLOCKING;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_OUTPUT_FLAG_PRIMARY;
     enum_constant public static final android.audio.policy.configuration.V7_0.AudioInOutFlag AUDIO_OUTPUT_FLAG_RAW;
@@ -542,7 +546,7 @@
 
   public enum Version {
     method @NonNull public String getRawName();
-    enum_constant public static final android.audio.policy.configuration.V7_0.Version _1_0;
+    enum_constant public static final android.audio.policy.configuration.V7_0.Version _7_0;
   }
 
   public class Volume {
diff --git a/audio/7.0/config/audio_policy_configuration.xsd b/audio/7.0/config/audio_policy_configuration.xsd
index a735c6d..31ec64b 100644
--- a/audio/7.0/config/audio_policy_configuration.xsd
+++ b/audio/7.0/config/audio_policy_configuration.xsd
@@ -20,7 +20,7 @@
     <!-- List the config versions supported by audio policy. -->
     <xs:simpleType name="version">
         <xs:restriction base="xs:decimal">
-            <xs:enumeration value="1.0"/>
+            <xs:enumeration value="7.0"/>
         </xs:restriction>
     </xs:simpleType>
     <xs:simpleType name="halVersion">
@@ -159,13 +159,9 @@
         <xs:annotation>
             <xs:documentation xml:lang="en">
               The flags indicate suggested stream attributes supported by the profile.
-              Use of AUDIO_{INPUT|OUTPUT}_FLAG_NONE in the XML file isn't required
-              as empty flag lists are allowed. However these constants are useful for
-              representing an empty enum value.
             </xs:documentation>
         </xs:annotation>
         <xs:restriction base="xs:string">
-            <xs:enumeration value="AUDIO_OUTPUT_FLAG_NONE" />
             <xs:enumeration value="AUDIO_OUTPUT_FLAG_DIRECT" />
             <xs:enumeration value="AUDIO_OUTPUT_FLAG_PRIMARY" />
             <xs:enumeration value="AUDIO_OUTPUT_FLAG_FAST" />
@@ -182,7 +178,6 @@
             <xs:enumeration value="AUDIO_OUTPUT_FLAG_VOIP_RX" />
             <xs:enumeration value="AUDIO_OUTPUT_FLAG_INCALL_MUSIC" />
             <xs:enumeration value="AUDIO_OUTPUT_FLAG_GAPLESS_OFFLOAD" />
-            <xs:enumeration value="AUDIO_INPUT_FLAG_NONE" />
             <xs:enumeration value="AUDIO_INPUT_FLAG_FAST" />
             <xs:enumeration value="AUDIO_INPUT_FLAG_HW_HOTWORD" />
             <xs:enumeration value="AUDIO_INPUT_FLAG_RAW" />
@@ -330,6 +325,7 @@
     </xs:simpleType>
     <xs:simpleType name="audioFormat">
         <xs:restriction base="xs:string">
+            <xs:enumeration value="AUDIO_FORMAT_DEFAULT" />
             <xs:enumeration value="AUDIO_FORMAT_PCM_16_BIT" />
             <xs:enumeration value="AUDIO_FORMAT_PCM_8_BIT"/>
             <xs:enumeration value="AUDIO_FORMAT_PCM_32_BIT"/>
@@ -407,6 +403,11 @@
             <xs:enumeration value="AUDIO_FORMAT_LHDC_LL"/>
             <xs:enumeration value="AUDIO_FORMAT_APTX_TWSP"/>
             <xs:enumeration value="AUDIO_FORMAT_LC3"/>
+            <xs:enumeration value="AUDIO_FORMAT_MPEGH_BL_L3"/>
+            <xs:enumeration value="AUDIO_FORMAT_MPEGH_BL_L4"/>
+            <xs:enumeration value="AUDIO_FORMAT_MPEGH_LC_L3"/>
+            <xs:enumeration value="AUDIO_FORMAT_MPEGH_LC_L4"/>
+            <xs:enumeration value="AUDIO_FORMAT_IEC60958"/>
         </xs:restriction>
     </xs:simpleType>
     <xs:simpleType name="extendableAudioFormat">
diff --git a/audio/7.0/config/update_audio_policy_config.sh b/audio/7.0/config/update_audio_policy_config.sh
index 051a0df..159fa35 100755
--- a/audio/7.0/config/update_audio_policy_config.sh
+++ b/audio/7.0/config/update_audio_policy_config.sh
@@ -113,6 +113,9 @@
 echo "Press Ctrl-C to cancel, Enter to continue"
 read
 
+# Update 'audioPolicyConfiguration version="1.0"' -> 7.0 in the main file
+sed -i -r -e 's/(audioPolicyConfiguration version=")1.0/\17.0/' ${SOURCE_CONFIG}
+
 updateFile() {
     FILE=$1
     ATTR=$2
diff --git a/audio/README.md b/audio/README.md
index b77b9ba..1938ad4 100644
--- a/audio/README.md
+++ b/audio/README.md
@@ -7,47 +7,49 @@
 
 ## Directory Structure
 
-* `2.0` -- version 2.0 of the core HIDL API. Note that `.hal` files
+* `2.0` — version 2.0 of the core HIDL API. Note that `.hal` files
   can not be moved into the `core` directory because that would change
   its namespace and include path.
-   - `config` -- the XSD schema for the Audio Policy Manager
+   - `config` — the XSD schema for the Audio Policy Manager
      configuration file.
-* `4.0` -- version 4.0 of the core HIDL API.
+* `4.0` — version 4.0 of the core HIDL API.
 * ...
-* `common` -- common types for audio core and effect HIDL API.
-   - `2.0` -- version 2.0 of the common types HIDL API.
-   - `4.0` -- version 4.0.
+* `common` — common types for audio core and effect HIDL API.
+   - `2.0` — version 2.0 of the common types HIDL API.
+   - `4.0` — version 4.0.
    - ...
-   - `7.0` -- version 7.0.
-      - `example` -- example implementation of the core and effect
+   - `7.0` — version 7.0.
+      - `example` — example implementation of the core and effect
         V7.0 API. It represents a "fake" audio HAL that doesn't
         actually communicate with hardware.
-   - `all-versions` -- code common to all version of both core and effect API.
-      - `default` -- shared code of the default implementation.
-         - `service` -- vendor HAL service for hosting the default
+   - `all-versions` — code common to all version of both core and effect API.
+      - `default` — shared code of the default implementation.
+         - `service` — vendor HAL service for hosting the default
            implementation.
-      - `test` -- utilities used by tests.
-      - `util` -- utilities used by both implementation and tests.
-* `core` -- VTS tests and the default implementation of the core API
+      - `test` — utilities used by tests.
+      - `util` — utilities used by both implementation and tests.
+* `core` — VTS tests and the default implementation of the core API
   (not HIDL API, it's in `audio/N.M`).
-   - `7.0` -- code specific to version V7.0 of the core HIDL API
-   - `all-versions` -- the code is common between all versions,
+   - `7.0` — code specific to version V7.0 of the core HIDL API
+   - `all-versions` — the code is common between all versions,
      version-specific parts are enclosed into conditional directives
      of preprocessor or reside in dedicated files.
-       - `default` -- code that wraps the legacy API (from
+       - `default` — code that wraps the legacy API (from
          `hardware/libhardware`).
+         - `util` — utilities for the default implementation.
        - `vts` VTS tests for the core HIDL API.
-* `effect` -- same for the effect HIDL API.
+* `effect` — same for the effect HIDL API.
    - `2.0`
-      - `config` -- the XSD schema for the Audio Effects configuration
-        file.
+      - `config` — the XSD schema for the Audio Effects configuration file.
    - `4.0`
    - ...
    - `all-versions`
-      - `default`
-      - `vts`
-* `policy` -- Configurable Audio Policy schemes.
-   - `1.0` -- note that versions of CAP are not linked to the versions
+       - `default` — code that wraps the legacy API (from
+         `hardware/libhardware`).
+         - `util` — utilities for the default implementation.
+       - `vts` VTS tests for the effect HIDL API.
+* `policy` — Configurable Audio Policy schemes.
+   - `1.0` — note that versions of CAP are not linked to the versions
      of audio HAL.
-      - `vts` -- VTS tests for validating actual configuration files.
-      - `xml` -- XSD schemas for CAP configuration files.
+      - `vts` — VTS tests for validating actual configuration files.
+      - `xml` — XSD schemas for CAP configuration files.
diff --git a/audio/common/7.0/enums/include/android_audio_policy_configuration_V7_0-enums.h b/audio/common/7.0/enums/include/android_audio_policy_configuration_V7_0-enums.h
index c0042db..b427f3a 100644
--- a/audio/common/7.0/enums/include/android_audio_policy_configuration_V7_0-enums.h
+++ b/audio/common/7.0/enums/include/android_audio_policy_configuration_V7_0-enums.h
@@ -212,10 +212,16 @@
     return isOutputDevice(stringToAudioDevice(device));
 }
 
+static inline bool maybeVendorExtension(const std::string& s) {
+    // Only checks whether the string starts with the "vendor prefix".
+    static const std::string vendorPrefix = "VX_";
+    return s.size() > vendorPrefix.size() && s.substr(0, vendorPrefix.size()) == vendorPrefix;
+}
+
 static inline bool isVendorExtension(const std::string& s) {
     // Must match the "vendorExtension" rule from the XSD file.
     static const std::string vendorPrefix = "VX_";
-    return s.size() > vendorPrefix.size() && s.substr(0, vendorPrefix.size()) == vendorPrefix &&
+    return maybeVendorExtension(s) &&
            std::all_of(s.begin() + vendorPrefix.size(), s.end(),
                        [](unsigned char c) { return c == '_' || std::isalnum(c); });
 }
diff --git a/audio/common/7.0/example/Effect.cpp b/audio/common/7.0/example/Effect.cpp
index 27f28c6..5788811 100644
--- a/audio/common/7.0/example/Effect.cpp
+++ b/audio/common/7.0/example/Effect.cpp
@@ -107,14 +107,13 @@
 }
 
 Return<void> Effect::getConfig(getConfig_cb _hidl_cb) {
-    const EffectConfig config = {
-            {} /* inputCfg */,
-            // outputCfg
-            {{} /* buffer */,
-             {toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT), 48000 /* samplingRateHz */,
-              toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO)}, /* base */
-             EffectBufferAccess::ACCESS_ACCUMULATE,
-             0 /* mask */}};
+    EffectConfig config;
+    // inputCfg left unspecified.
+    config.outputCfg.base.format.value(toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT));
+    config.outputCfg.base.sampleRateHz.value(48000);
+    config.outputCfg.base.channelMask.value(
+            toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO));
+    config.outputCfg.accessMode.value(EffectBufferAccess::ACCESS_ACCUMULATE);
     _hidl_cb(Result::OK, config);
     return Void();
 }
diff --git a/audio/common/7.0/types.hal b/audio/common/7.0/types.hal
index ed6d94f..99c2e5a 100644
--- a/audio/common/7.0/types.hal
+++ b/audio/common/7.0/types.hal
@@ -118,9 +118,28 @@
  * Base configuration attributes applicable to any stream of audio.
  */
 struct AudioConfigBase {
-    AudioFormat format;                 // empty means 'unspecified'
-    uint32_t sampleRateHz;              // 0 means 'unspecified'
-    AudioChannelMask channelMask;       // empty means 'unspecified'
+    AudioFormat format;
+    uint32_t sampleRateHz;
+    AudioChannelMask channelMask;
+};
+
+/**
+ * Base configuration attributes applicable to any stream of audio.
+ * Any attribute may be left unspecified.
+ */
+struct AudioConfigBaseOptional {
+    safe_union Format {
+        Monostate unspecified;
+        AudioFormat value;
+    } format;
+    safe_union SampleRate {
+        Monostate unspecified;
+        uint32_t value;
+    } sampleRateHz;
+    safe_union ChannelMask {
+        Monostate unspecified;
+        AudioChannelMask value;
+    } channelMask;
 };
 
 /**
@@ -290,15 +309,15 @@
 struct PlaybackTrackMetadata {
     AudioUsage usage;
     AudioContentType contentType;
-    /** Tags from AudioTrack audio atttributes */
-    vec<AudioTag> tags;
-    AudioChannelMask channelMask;
     /**
      * Positive linear gain applied to the track samples. 0 being muted and 1 is no attenuation,
      * 2 means double amplification...
      * Must not be negative.
      */
     float gain;
+    AudioChannelMask channelMask;
+    /** Tags from AudioTrack audio atttributes */
+    vec<AudioTag> tags;
 };
 
 /** Metadatas of the source of a StreamOut. */
@@ -309,9 +328,6 @@
 /** Metadata of a record track for a StreamIn. */
 struct RecordTrackMetadata {
     AudioSource source;
-    /** Tags from AudioTrack audio atttributes */
-    vec<AudioTag> tags;
-    AudioChannelMask channelMask;
     /**
      * Positive linear gain applied to the track samples. 0 being muted and 1 is no attenuation,
      * 2 means double amplification...
@@ -325,6 +341,9 @@
         Monostate unspecified;
         DeviceAddress device;
     } destination;
+    AudioChannelMask channelMask;
+    /** Tags from AudioTrack audio atttributes */
+    vec<AudioTag> tags;
 };
 
 /** Metadatas of the sink of a StreamIn. */
@@ -439,11 +458,9 @@
      */
     AudioPortHandle id;
     /**
-     * Basic parameters: sampling rate, format, channel mask. Only some of the
-     * parameters (or none) may be set. See the documentation of the
-     * AudioConfigBase struct.
+     * Basic parameters: sampling rate, format, channel mask.
      */
-    AudioConfigBase base;
+    AudioConfigBaseOptional base;
     /** Associated gain control. */
     safe_union OptionalGain {
         Monostate unspecified;
diff --git a/audio/common/all-versions/default/7.0/HidlUtils.cpp b/audio/common/all-versions/default/7.0/HidlUtils.cpp
index de19faf..bb3a596 100644
--- a/audio/common/all-versions/default/7.0/HidlUtils.cpp
+++ b/audio/common/all-versions/default/7.0/HidlUtils.cpp
@@ -16,6 +16,7 @@
 
 #include <stdio.h>
 #include <string.h>
+#include <algorithm>
 
 #define LOG_TAG "HidlUtils"
 #include <log/log.h>
@@ -147,6 +148,59 @@
     return result;
 }
 
+status_t HidlUtils::audioConfigBaseOptionalFromHal(const audio_config_base_t& halConfigBase,
+                                                   bool isInput, bool formatSpecified,
+                                                   bool sampleRateSpecified,
+                                                   bool channelMaskSpecified,
+                                                   AudioConfigBaseOptional* configBase) {
+    status_t result = NO_ERROR;
+    if (formatSpecified) {
+        AudioFormat value;
+        CONVERT_CHECKED(audioFormatFromHal(halConfigBase.format, &value), result);
+        configBase->format.value(std::move(value));
+    } else {
+        configBase->format.unspecified({});
+    }
+    if (sampleRateSpecified) {
+        configBase->sampleRateHz.value(halConfigBase.sample_rate);
+    } else {
+        configBase->sampleRateHz.unspecified({});
+    }
+    if (channelMaskSpecified) {
+        AudioChannelMask value;
+        CONVERT_CHECKED(audioChannelMaskFromHal(halConfigBase.channel_mask, isInput, &value),
+                        result);
+        configBase->channelMask.value(std::move(value));
+    }
+    return result;
+}
+
+status_t HidlUtils::audioConfigBaseOptionalToHal(const AudioConfigBaseOptional& configBase,
+                                                 audio_config_base_t* halConfigBase,
+                                                 bool* formatSpecified, bool* sampleRateSpecified,
+                                                 bool* channelMaskSpecified) {
+    status_t result = NO_ERROR;
+    *formatSpecified = configBase.format.getDiscriminator() ==
+                       AudioConfigBaseOptional::Format::hidl_discriminator::value;
+    if (*formatSpecified) {
+        CONVERT_CHECKED(audioFormatToHal(configBase.format.value(), &halConfigBase->format),
+                        result);
+    }
+    *sampleRateSpecified = configBase.sampleRateHz.getDiscriminator() ==
+                           AudioConfigBaseOptional::SampleRate::hidl_discriminator::value;
+    if (*sampleRateSpecified) {
+        halConfigBase->sample_rate = configBase.sampleRateHz.value();
+    }
+    *channelMaskSpecified = configBase.channelMask.getDiscriminator() ==
+                            AudioConfigBaseOptional::ChannelMask::hidl_discriminator::value;
+    if (*channelMaskSpecified) {
+        CONVERT_CHECKED(
+                audioChannelMaskToHal(configBase.channelMask.value(), &halConfigBase->channel_mask),
+                result);
+    }
+    return result;
+}
+
 status_t HidlUtils::audioContentTypeFromHal(const audio_content_type_t halContentType,
                                             AudioContentType* contentType) {
     *contentType = audio_content_type_to_string(halContentType);
@@ -228,7 +282,7 @@
                                              hidl_vec<AudioGainMode>* gainModeMask) {
     status_t status = NO_ERROR;
     std::vector<AudioGainMode> result;
-    for (uint32_t bit = 0; bit < sizeof(audio_gain_mode_t) * 8; ++bit) {
+    for (uint32_t bit = 0; halGainModeMask != 0 && bit < sizeof(audio_gain_mode_t) * 8; ++bit) {
         audio_gain_mode_t flag = static_cast<audio_gain_mode_t>(1u << bit);
         if ((flag & halGainModeMask) == flag) {
             AudioGainMode flagStr = audio_gain_mode_to_string(flag);
@@ -238,6 +292,7 @@
                 ALOGE("Unknown audio gain mode value 0x%X", flag);
                 status = BAD_VALUE;
             }
+            halGainModeMask = static_cast<audio_gain_mode_t>(halGainModeMask & ~flag);
         }
     }
     *gainModeMask = result;
@@ -508,23 +563,14 @@
               audio_port_config_has_input_direction(&halConfig), isInput);
         result = BAD_VALUE;
     }
-    if (halConfig.config_mask & AUDIO_PORT_CONFIG_SAMPLE_RATE) {
-        config->base.sampleRateHz = halConfig.sample_rate;
-    } else {
-        config->base.sampleRateHz = {};
-    }
-    if (halConfig.config_mask & AUDIO_PORT_CONFIG_CHANNEL_MASK) {
-        CONVERT_CHECKED(
-                audioChannelMaskFromHal(halConfig.channel_mask, isInput, &config->base.channelMask),
-                result);
-    } else {
-        config->base.channelMask = {};
-    }
-    if (halConfig.config_mask & AUDIO_PORT_CONFIG_FORMAT) {
-        CONVERT_CHECKED(audioFormatFromHal(halConfig.format, &config->base.format), result);
-    } else {
-        config->base.format = {};
-    }
+    audio_config_base_t halConfigBase = {halConfig.sample_rate, halConfig.channel_mask,
+                                         halConfig.format};
+    CONVERT_CHECKED(
+            audioConfigBaseOptionalFromHal(
+                    halConfigBase, isInput, halConfig.config_mask & AUDIO_PORT_CONFIG_FORMAT,
+                    halConfig.config_mask & AUDIO_PORT_CONFIG_SAMPLE_RATE,
+                    halConfig.config_mask & AUDIO_PORT_CONFIG_CHANNEL_MASK, &config->base),
+            result);
     if (halConfig.config_mask & AUDIO_PORT_CONFIG_GAIN) {
         config->gain.config({});
         CONVERT_CHECKED(audioGainConfigFromHal(halConfig.gain, isInput, &config->gain.config()),
@@ -540,19 +586,23 @@
     status_t result = NO_ERROR;
     memset(halConfig, 0, sizeof(audio_port_config));
     halConfig->id = config.id;
-    halConfig->config_mask = {};
-    if (config.base.sampleRateHz != 0) {
+    halConfig->config_mask = 0;
+    audio_config_base_t halConfigBase = AUDIO_CONFIG_BASE_INITIALIZER;
+    bool formatSpecified = false, sRateSpecified = false, channelMaskSpecified = false;
+    CONVERT_CHECKED(audioConfigBaseOptionalToHal(config.base, &halConfigBase, &formatSpecified,
+                                                 &sRateSpecified, &channelMaskSpecified),
+                    result);
+    if (sRateSpecified) {
         halConfig->config_mask |= AUDIO_PORT_CONFIG_SAMPLE_RATE;
-        halConfig->sample_rate = config.base.sampleRateHz;
+        halConfig->sample_rate = halConfigBase.sample_rate;
     }
-    if (!config.base.channelMask.empty()) {
+    if (channelMaskSpecified) {
         halConfig->config_mask |= AUDIO_PORT_CONFIG_CHANNEL_MASK;
-        CONVERT_CHECKED(audioChannelMaskToHal(config.base.channelMask, &halConfig->channel_mask),
-                        result);
+        halConfig->channel_mask = halConfigBase.channel_mask;
     }
-    if (!config.base.format.empty()) {
+    if (formatSpecified) {
         halConfig->config_mask |= AUDIO_PORT_CONFIG_FORMAT;
-        CONVERT_CHECKED(audioFormatToHal(config.base.format, &halConfig->format), result);
+        halConfig->format = halConfigBase.format;
     }
     if (config.gain.getDiscriminator() ==
         AudioPortConfig::OptionalGain::hidl_discriminator::config) {
@@ -810,15 +860,17 @@
     return result;
 }
 
-status_t HidlUtils::audioTagsFromHal(const char* halTags, hidl_vec<AudioTag>* tags) {
-    std::vector<std::string> strTags = utils::splitString(halTags, sAudioTagSeparator);
+status_t HidlUtils::audioTagsFromHal(const std::vector<std::string>& strTags,
+                                     hidl_vec<AudioTag>* tags) {
     status_t result = NO_ERROR;
     tags->resize(strTags.size());
     size_t to = 0;
     for (size_t from = 0; from < strTags.size(); ++from) {
-        if (xsd::isVendorExtension(strTags[from])) {
-            (*tags)[to++] = strTags[from];
+        const auto& tag = strTags[from];
+        if (xsd::isVendorExtension(tag)) {
+            (*tags)[to++] = tag;
         } else {
+            ALOGE("Vendor extension tag is ill-formed: \"%s\"", tag.c_str());
             result = BAD_VALUE;
         }
     }
@@ -841,6 +893,7 @@
             halTagsBuffer << tag;
             hasValue = true;
         } else {
+            ALOGE("Vendor extension tag is ill-formed: \"%s\"", tag.c_str());
             result = BAD_VALUE;
         }
     }
@@ -851,6 +904,31 @@
     return result;
 }
 
+hidl_vec<AudioTag> HidlUtils::filterOutNonVendorTags(const hidl_vec<AudioTag>& tags) {
+    hidl_vec<AudioTag> result;
+    result.resize(tags.size());
+    size_t resultIdx = 0;
+    for (const auto& tag : tags) {
+        if (xsd::maybeVendorExtension(tag)) {
+            result[resultIdx++] = tag;
+        }
+    }
+    if (resultIdx != result.size()) {
+        result.resize(resultIdx);
+    }
+    return result;
+}
+
+std::vector<std::string> HidlUtils::filterOutNonVendorTags(const std::vector<std::string>& tags) {
+    std::vector<std::string> result;
+    std::copy_if(tags.begin(), tags.end(), std::back_inserter(result), xsd::maybeVendorExtension);
+    return result;
+}
+
+std::vector<std::string> HidlUtils::splitAudioTags(const char* halTags) {
+    return utils::splitString(halTags, sAudioTagSeparator);
+}
+
 status_t HidlUtils::deviceAddressFromHal(audio_devices_t halDeviceType,
                                          const char* halDeviceAddress, DeviceAddress* device) {
     status_t result = NO_ERROR;
diff --git a/audio/common/all-versions/default/HidlUtils.h b/audio/common/all-versions/default/HidlUtils.h
index 8e9275c..22b7152 100644
--- a/audio/common/all-versions/default/HidlUtils.h
+++ b/audio/common/all-versions/default/HidlUtils.h
@@ -20,6 +20,8 @@
 #include PATH(android/hardware/audio/common/FILE_VERSION/types.h)
 
 #include <memory>
+#include <string>
+#include <vector>
 
 #include <system/audio.h>
 
@@ -89,6 +91,15 @@
                                            AudioConfigBase* configBase);
     static status_t audioConfigBaseToHal(const AudioConfigBase& configBase,
                                          audio_config_base_t* halConfigBase);
+    static status_t audioConfigBaseOptionalFromHal(const audio_config_base_t& halConfigBase,
+                                                   bool isInput, bool formatSpecified,
+                                                   bool sampleRateSpecified,
+                                                   bool channelMaskSpecified,
+                                                   AudioConfigBaseOptional* configBase);
+    static status_t audioConfigBaseOptionalToHal(const AudioConfigBaseOptional& configBase,
+                                                 audio_config_base_t* halConfigBase,
+                                                 bool* formatSpecified, bool* sampleRateSpecified,
+                                                 bool* channelMaskSpecified);
     static status_t audioDeviceTypeFromHal(audio_devices_t halDevice, AudioDevice* device);
     static status_t audioDeviceTypeToHal(const AudioDevice& device, audio_devices_t* halDevice);
     static status_t audioFormatFromHal(audio_format_t halFormat, AudioFormat* format);
@@ -109,8 +120,12 @@
                                            AudioStreamType* streamType);
     static status_t audioStreamTypeToHal(const AudioStreamType& streamType,
                                          audio_stream_type_t* halStreamType);
-    static status_t audioTagsFromHal(const char* halTags, hidl_vec<AudioTag>* tags);
+    static status_t audioTagsFromHal(const std::vector<std::string>& strTags,
+                                     hidl_vec<AudioTag>* tags);
     static status_t audioTagsToHal(const hidl_vec<AudioTag>& tags, char* halTags);
+    static hidl_vec<AudioTag> filterOutNonVendorTags(const hidl_vec<AudioTag>& tags);
+    static std::vector<std::string> filterOutNonVendorTags(const std::vector<std::string>& tags);
+    static std::vector<std::string> splitAudioTags(const char* halTags);
 
   private:
     static status_t audioIndexChannelMaskFromHal(audio_channel_mask_t halChannelMask,
diff --git a/audio/common/all-versions/default/UuidUtils.cpp b/audio/common/all-versions/default/UuidUtils.cpp
index 85edc7b..6c4c94d 100644
--- a/audio/common/all-versions/default/UuidUtils.cpp
+++ b/audio/common/all-versions/default/UuidUtils.cpp
@@ -42,6 +42,14 @@
     memcpy(halUuid->node, uuid.node.data(), uuid.node.size());
 }
 
+std::string UuidUtils::uuidToString(const audio_uuid_t& halUuid) {
+    char str[64];
+    snprintf(str, sizeof(str), "%08x-%04x-%04x-%04x-%02x%02x%02x%02x%02x%02x", halUuid.timeLow,
+             halUuid.timeMid, halUuid.timeHiAndVersion, halUuid.clockSeq, halUuid.node[0],
+             halUuid.node[1], halUuid.node[2], halUuid.node[3], halUuid.node[4], halUuid.node[5]);
+    return str;
+}
+
 }  // namespace implementation
 }  // namespace CPP_VERSION
 }  // namespace common
diff --git a/audio/common/all-versions/default/UuidUtils.h b/audio/common/all-versions/default/UuidUtils.h
index 38db48a..cd04fb0 100644
--- a/audio/common/all-versions/default/UuidUtils.h
+++ b/audio/common/all-versions/default/UuidUtils.h
@@ -17,14 +17,14 @@
 #ifndef android_hardware_audio_Uuid_Utils_H_
 #define android_hardware_audio_Uuid_Utils_H_
 
+#include <string>
+
 // clang-format off
 #include PATH(android/hardware/audio/common/FILE_VERSION/types.h)
 // clang-format on
 
 #include <system/audio.h>
 
-using ::android::hardware::hidl_vec;
-
 namespace android {
 namespace hardware {
 namespace audio {
@@ -38,6 +38,7 @@
   public:
     static void uuidFromHal(const audio_uuid_t& halUuid, Uuid* uuid);
     static void uuidToHal(const Uuid& uuid, audio_uuid_t* halUuid);
+    static std::string uuidToString(const audio_uuid_t& halUuid);
 };
 
 }  // namespace implementation
diff --git a/audio/common/all-versions/default/service/service.cpp b/audio/common/all-versions/default/service/service.cpp
index 710ddce..bbc14ad 100644
--- a/audio/common/all-versions/default/service/service.cpp
+++ b/audio/common/all-versions/default/service/service.cpp
@@ -63,17 +63,17 @@
     const std::vector<InterfacesList> mandatoryInterfaces = {
         {
             "Audio Core API",
+            "android.hardware.audio@7.0::IDevicesFactory",
             "android.hardware.audio@6.0::IDevicesFactory",
             "android.hardware.audio@5.0::IDevicesFactory",
             "android.hardware.audio@4.0::IDevicesFactory",
-            "android.hardware.audio@2.0::IDevicesFactory"
         },
         {
             "Audio Effect API",
+            "android.hardware.audio.effect@7.0::IEffectsFactory",
             "android.hardware.audio.effect@6.0::IEffectsFactory",
             "android.hardware.audio.effect@5.0::IEffectsFactory",
             "android.hardware.audio.effect@4.0::IEffectsFactory",
-            "android.hardware.audio.effect@2.0::IEffectsFactory",
         }
     };
 
diff --git a/audio/common/all-versions/default/tests/hidlutils_tests.cpp b/audio/common/all-versions/default/tests/hidlutils_tests.cpp
index fef88b4..40fc5c8 100644
--- a/audio/common/all-versions/default/tests/hidlutils_tests.cpp
+++ b/audio/common/all-versions/default/tests/hidlutils_tests.cpp
@@ -35,30 +35,27 @@
 using namespace ::android::audio::policy::configuration::V7_0;
 }
 
-static constexpr audio_channel_mask_t kInvalidHalChannelMask =
-        static_cast<audio_channel_mask_t>(0xFFFFFFFFU);
+static constexpr audio_channel_mask_t kInvalidHalChannelMask = AUDIO_CHANNEL_INVALID;
 static constexpr audio_content_type_t kInvalidHalContentType =
         static_cast<audio_content_type_t>(0xFFFFFFFFU);
 static constexpr audio_devices_t kInvalidHalDevice = static_cast<audio_devices_t>(0xFFFFFFFFU);
-static constexpr audio_format_t kInvalidHalFormat = static_cast<audio_format_t>(0xFFFFFFFFU);
+static constexpr audio_format_t kInvalidHalFormat = AUDIO_FORMAT_INVALID;
 static constexpr audio_gain_mode_t kInvalidHalGainMode =
         static_cast<audio_gain_mode_t>(0xFFFFFFFFU);
-static constexpr audio_source_t kInvalidHalSource = static_cast<audio_source_t>(0xFFFFFFFFU);
+// AUDIO_SOURCE_INVALID is framework-only.
+static constexpr audio_source_t kInvalidHalSource = static_cast<audio_source_t>(-1);
 static constexpr audio_stream_type_t kInvalidHalStreamType =
         static_cast<audio_stream_type_t>(0xFFFFFFFFU);
 static constexpr audio_usage_t kInvalidHalUsage = static_cast<audio_usage_t>(0xFFFFFFFFU);
 
 TEST(HidlUtils, ConvertInvalidChannelMask) {
     AudioChannelMask invalid;
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioChannelMaskFromHal(AUDIO_CHANNEL_INVALID,
-                                                            false /*isInput*/, &invalid));
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioChannelMaskFromHal(AUDIO_CHANNEL_INVALID, true /*isInput*/,
-                                                            &invalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioChannelMaskFromHal(kInvalidHalChannelMask,
                                                             false /*isInput*/, &invalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioChannelMaskFromHal(kInvalidHalChannelMask,
                                                             true /*isInput*/, &invalid));
     audio_channel_mask_t halInvalid;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioChannelMaskToHal("", &halInvalid));
     // INVALID channel mask is not in XSD thus it's not allowed for transfer over HIDL.
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioChannelMaskToHal("AUDIO_CHANNEL_INVALID", &halInvalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioChannelMaskToHal("random string", &halInvalid));
@@ -148,40 +145,241 @@
     }
 }
 
+static AudioConfigBase generateValidConfigBase(bool isInput) {
+    AudioConfigBase configBase;
+    configBase.sampleRateHz = 44100;
+    configBase.format = toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT);
+    configBase.channelMask = isInput ? toString(xsd::AudioChannelMask::AUDIO_CHANNEL_IN_STEREO)
+                                     : toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO);
+    return configBase;
+}
+
 TEST(HidlUtils, ConvertInvalidConfigBase) {
     AudioConfigBase invalid;
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigBaseFromHal({.sample_rate = 0,
-                                                            .channel_mask = kInvalidHalChannelMask,
-                                                            .format = kInvalidHalFormat},
-                                                           false /*isInput*/, &invalid));
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigBaseFromHal({.sample_rate = 0,
-                                                            .channel_mask = kInvalidHalChannelMask,
-                                                            .format = kInvalidHalFormat},
-                                                           true /*isInput*/, &invalid));
+    audio_config_base_t halInvalidChannelMask = AUDIO_CONFIG_BASE_INITIALIZER;
+    halInvalidChannelMask.channel_mask = kInvalidHalChannelMask;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigBaseFromHal(halInvalidChannelMask, false /*isInput*/,
+                                                           &invalid));
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseFromHal(halInvalidChannelMask, true /*isInput*/, &invalid));
+    audio_config_base_t halInvalidFormat = AUDIO_CONFIG_BASE_INITIALIZER;
+    halInvalidFormat.format = kInvalidHalFormat;
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseFromHal(halInvalidFormat, false /*isInput*/, &invalid));
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseFromHal(halInvalidFormat, true /*isInput*/, &invalid));
+
     audio_config_base_t halInvalid;
-    invalid.sampleRateHz = 0;
-    invalid.channelMask = "random string";
-    invalid.format = "random string";
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigBaseToHal(invalid, &halInvalid));
+    AudioConfigBase invalidChannelMask = generateValidConfigBase(false /*isInput*/);
+    invalidChannelMask.channelMask = "random string";
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigBaseToHal(invalidChannelMask, &halInvalid));
+    AudioConfigBase invalidFormat = generateValidConfigBase(false /*isInput*/);
+    invalidFormat.format = "random string";
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigBaseToHal(invalidFormat, &halInvalid));
+}
+
+TEST(HidlUtils, ConvertConfigBaseDefault) {
+    audio_config_base_t halBaseDefault = AUDIO_CONFIG_BASE_INITIALIZER;
+    AudioConfigBase baseDefaultOut, baseDefaultIn;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseFromHal(halBaseDefault, false /*isInput*/,
+                                                          &baseDefaultOut));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigBaseFromHal(halBaseDefault, true /*isInput*/, &baseDefaultIn));
+    EXPECT_EQ(baseDefaultOut, baseDefaultIn);
+    audio_config_base_t halBaseDefaultBack;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseToHal(baseDefaultOut, &halBaseDefaultBack));
+    EXPECT_EQ(halBaseDefault.sample_rate, halBaseDefaultBack.sample_rate);
+    EXPECT_EQ(halBaseDefault.channel_mask, halBaseDefaultBack.channel_mask);
+    EXPECT_EQ(halBaseDefault.format, halBaseDefaultBack.format);
 }
 
 TEST(HidlUtils, ConvertConfigBase) {
-    AudioConfigBase configBase;
-    configBase.sampleRateHz = 44100;
-    configBase.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO);
-    configBase.format = toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT);
-    audio_config_base_t halConfigBase;
-    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseToHal(configBase, &halConfigBase));
-    AudioConfigBase configBaseBack;
+    AudioConfigBase configBaseOut = generateValidConfigBase(false /*isInput*/);
+    audio_config_base_t halConfigBaseOut;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseToHal(configBaseOut, &halConfigBaseOut));
+    AudioConfigBase configBaseOutBack;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseFromHal(halConfigBaseOut, false /*isInput*/,
+                                                          &configBaseOutBack));
+    EXPECT_EQ(configBaseOut, configBaseOutBack);
+
+    AudioConfigBase configBaseIn = generateValidConfigBase(true /*isInput*/);
+    audio_config_base_t halConfigBaseIn;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseToHal(configBaseIn, &halConfigBaseIn));
+    AudioConfigBase configBaseInBack;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseFromHal(halConfigBaseIn, true /*isInput*/,
+                                                          &configBaseInBack));
+    EXPECT_EQ(configBaseIn, configBaseInBack);
+}
+
+TEST(HidlUtils, ConvertInvalidConfigBaseOptional) {
+    AudioConfigBaseOptional invalid;
+    audio_config_base_t halInvalidChannelMask = AUDIO_CONFIG_BASE_INITIALIZER;
+    halInvalidChannelMask.channel_mask = kInvalidHalChannelMask;
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidChannelMask, false /*isInput*/, false /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, true /*channelMaskSpecified*/, &invalid));
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidChannelMask, true /*isInput*/, false /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, true /*channelMaskSpecified*/, &invalid));
+    // Unspecified invalid values are ignored
+    AudioConfigBaseOptional unspecified;
     EXPECT_EQ(NO_ERROR,
-              HidlUtils::audioConfigBaseFromHal(halConfigBase, false /*isInput*/, &configBaseBack));
-    EXPECT_EQ(configBase, configBaseBack);
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidChannelMask, false /*isInput*/, false /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, false /*channelMaskSpecified*/, &unspecified));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidChannelMask, true /*isInput*/, false /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, false /*channelMaskSpecified*/, &unspecified));
+    audio_config_base_t halInvalidFormat = AUDIO_CONFIG_BASE_INITIALIZER;
+    halInvalidFormat.format = kInvalidHalFormat;
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidFormat, false /*isInput*/, true /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, false /*channelMaskSpecified*/, &invalid));
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidFormat, true /*isInput*/, true /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, false /*channelMaskSpecified*/, &invalid));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidFormat, false /*isInput*/, false /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, false /*channelMaskSpecified*/, &unspecified));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigBaseOptionalFromHal(
+                      halInvalidFormat, true /*isInput*/, false /*formatSpecified*/,
+                      false /*sampleRateSpecified*/, false /*channelMaskSpecified*/, &unspecified));
+
+    audio_config_base_t halInvalid;
+    AudioConfigBaseOptional invalidChannelMask;
+    bool formatSpecified, sampleRateSpecified, channelMaskSpecified;
+    invalidChannelMask.channelMask.value("random string");
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigBaseOptionalToHal(
+                                 invalidChannelMask, &halInvalid, &formatSpecified,
+                                 &sampleRateSpecified, &channelMaskSpecified));
+    AudioConfigBaseOptional invalidFormat;
+    invalidFormat.format.value("random string");
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigBaseOptionalToHal(invalidFormat, &halInvalid, &formatSpecified,
+                                                      &sampleRateSpecified, &channelMaskSpecified));
+}
+
+TEST(HidlUtils, ConvertConfigBaseOptionalDefault) {
+    audio_config_base_t halBaseDefault = AUDIO_CONFIG_BASE_INITIALIZER;
+    AudioConfigBaseOptional baseDefaultUnspecOut, baseDefaultUnspecIn;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halBaseDefault, false /*isInput*/, false /*formatSpecified*/,
+                                false /*sampleRateSpecified*/, false /*channelMaskSpecified*/,
+                                &baseDefaultUnspecOut));
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halBaseDefault, true /*isInput*/, false /*formatSpecified*/,
+                                false /*sampleRateSpecified*/, false /*channelMaskSpecified*/,
+                                &baseDefaultUnspecIn));
+    EXPECT_EQ(baseDefaultUnspecOut, baseDefaultUnspecIn);
+    audio_config_base_t halBaseDefaultUnspecBack = AUDIO_CONFIG_BASE_INITIALIZER;
+    bool formatSpecified, sampleRateSpecified, channelMaskSpecified;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalToHal(
+                                baseDefaultUnspecOut, &halBaseDefaultUnspecBack, &formatSpecified,
+                                &sampleRateSpecified, &channelMaskSpecified));
+    EXPECT_FALSE(formatSpecified);
+    EXPECT_FALSE(sampleRateSpecified);
+    EXPECT_FALSE(channelMaskSpecified);
+    EXPECT_EQ(halBaseDefault.sample_rate, halBaseDefaultUnspecBack.sample_rate);
+    EXPECT_EQ(halBaseDefault.channel_mask, halBaseDefaultUnspecBack.channel_mask);
+    EXPECT_EQ(halBaseDefault.format, halBaseDefaultUnspecBack.format);
+
+    AudioConfigBaseOptional baseDefaultSpecOut, baseDefaultSpecIn;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halBaseDefault, false /*isInput*/, true /*formatSpecified*/,
+                                true /*sampleRateSpecified*/, true /*channelMaskSpecified*/,
+                                &baseDefaultSpecOut));
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halBaseDefault, true /*isInput*/, true /*formatSpecified*/,
+                                true /*sampleRateSpecified*/, true /*channelMaskSpecified*/,
+                                &baseDefaultSpecIn));
+    EXPECT_EQ(baseDefaultSpecOut, baseDefaultSpecIn);
+    audio_config_base_t halBaseDefaultSpecBack;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalToHal(
+                                baseDefaultSpecOut, &halBaseDefaultSpecBack, &formatSpecified,
+                                &sampleRateSpecified, &channelMaskSpecified));
+    EXPECT_TRUE(formatSpecified);
+    EXPECT_TRUE(sampleRateSpecified);
+    EXPECT_TRUE(channelMaskSpecified);
+    EXPECT_EQ(halBaseDefault.sample_rate, halBaseDefaultSpecBack.sample_rate);
+    EXPECT_EQ(halBaseDefault.channel_mask, halBaseDefaultSpecBack.channel_mask);
+    EXPECT_EQ(halBaseDefault.format, halBaseDefaultSpecBack.format);
+}
+
+TEST(HidlUtils, ConvertConfigBaseOptionalEmpty) {
+    AudioConfigBaseOptional empty;
+    bool formatSpecified, sampleRateSpecified, channelMaskSpecified;
+    audio_config_base_t halEmpty = AUDIO_CONFIG_BASE_INITIALIZER;
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigBaseOptionalToHal(empty, &halEmpty, &formatSpecified,
+                                                      &sampleRateSpecified, &channelMaskSpecified));
+    EXPECT_FALSE(formatSpecified);
+    EXPECT_FALSE(sampleRateSpecified);
+    EXPECT_FALSE(channelMaskSpecified);
+    AudioConfigBaseOptional emptyOutBack, emptyInBack;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halEmpty, false /*isInput*/, formatSpecified, sampleRateSpecified,
+                                channelMaskSpecified, &emptyOutBack));
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halEmpty, true /*isInput*/, formatSpecified, sampleRateSpecified,
+                                channelMaskSpecified, &emptyInBack));
+    EXPECT_EQ(emptyOutBack, emptyInBack);
+    EXPECT_EQ(empty, emptyOutBack);
+}
+
+TEST(HidlUtils, ConvertConfigBaseOptional) {
+    AudioConfigBase validBaseOut = generateValidConfigBase(false /*isInput*/);
+    AudioConfigBaseOptional configBaseOut;
+    configBaseOut.format.value(validBaseOut.format);
+    configBaseOut.sampleRateHz.value(validBaseOut.sampleRateHz);
+    configBaseOut.channelMask.value(validBaseOut.channelMask);
+    audio_config_base_t halConfigBaseOut;
+    bool formatSpecified, sampleRateSpecified, channelMaskSpecified;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalToHal(
+                                configBaseOut, &halConfigBaseOut, &formatSpecified,
+                                &sampleRateSpecified, &channelMaskSpecified));
+    EXPECT_TRUE(formatSpecified);
+    EXPECT_TRUE(sampleRateSpecified);
+    EXPECT_TRUE(channelMaskSpecified);
+    AudioConfigBaseOptional configBaseOutBack;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halConfigBaseOut, false /*isInput*/, formatSpecified,
+                                sampleRateSpecified, channelMaskSpecified, &configBaseOutBack));
+    EXPECT_EQ(configBaseOut, configBaseOutBack);
+
+    AudioConfigBase validBaseIn = generateValidConfigBase(true /*isInput*/);
+    AudioConfigBaseOptional configBaseIn;
+    configBaseIn.format.value(validBaseIn.format);
+    configBaseIn.sampleRateHz.value(validBaseIn.sampleRateHz);
+    configBaseIn.channelMask.value(validBaseIn.channelMask);
+    audio_config_base_t halConfigBaseIn;
+    formatSpecified = false;
+    sampleRateSpecified = false;
+    channelMaskSpecified = false;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalToHal(
+                                configBaseIn, &halConfigBaseIn, &formatSpecified,
+                                &sampleRateSpecified, &channelMaskSpecified));
+    EXPECT_TRUE(formatSpecified);
+    EXPECT_TRUE(sampleRateSpecified);
+    EXPECT_TRUE(channelMaskSpecified);
+    AudioConfigBaseOptional configBaseInBack;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigBaseOptionalFromHal(
+                                halConfigBaseIn, true /*isInput*/, formatSpecified,
+                                sampleRateSpecified, channelMaskSpecified, &configBaseInBack));
+    EXPECT_EQ(configBaseIn, configBaseInBack);
 }
 
 TEST(HidlUtils, ConvertInvalidContentType) {
     AudioContentType invalid;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioContentTypeFromHal(kInvalidHalContentType, &invalid));
     audio_content_type_t halInvalid;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioContentTypeToHal("", &halInvalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioContentTypeToHal("random string", &halInvalid));
 }
 
@@ -202,6 +400,7 @@
     AudioDevice invalid;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioDeviceTypeFromHal(kInvalidHalDevice, &invalid));
     audio_devices_t halInvalid;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioDeviceTypeToHal("", &halInvalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioDeviceTypeToHal("random string", &halInvalid));
 }
 
@@ -233,6 +432,7 @@
 // The enums module is too small to have unit tests on its own.
 TEST(HidlUtils, VendorExtension) {
     EXPECT_TRUE(xsd::isVendorExtension("VX_GOOGLE_VR_42"));
+    EXPECT_FALSE(xsd::isVendorExtension(""));
     EXPECT_FALSE(xsd::isVendorExtension("random string"));
     EXPECT_FALSE(xsd::isVendorExtension("VX_"));
     EXPECT_FALSE(xsd::isVendorExtension("VX_GOOGLE_$$"));
@@ -347,6 +547,9 @@
     AudioFormat invalid;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioFormatFromHal(kInvalidHalFormat, &invalid));
     audio_format_t halInvalid;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioFormatToHal("", &halInvalid));
+    // INVALID format is not in XSD thus it's not allowed for transfer over HIDL.
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioFormatToHal("AUDIO_FORMAT_INVALID", &halInvalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioFormatToHal("random string", &halInvalid));
 }
 
@@ -357,8 +560,9 @@
         AudioFormat formatBack;
         EXPECT_EQ(NO_ERROR, HidlUtils::audioFormatToHal(format, &halFormat))
                 << "Conversion of \"" << format << "\" failed";
-        EXPECT_TRUE(audio_is_valid_format(halFormat))
-                << "Converted format \"" << format << "\" is invalid";
+        EXPECT_EQ(enumVal != xsd::AudioFormat::AUDIO_FORMAT_DEFAULT,
+                  audio_is_valid_format(halFormat))
+                << "Validity of \"" << format << "\" is not as expected";
         EXPECT_EQ(NO_ERROR, HidlUtils::audioFormatFromHal(halFormat, &formatBack))
                 << "Conversion of format " << halFormat << " failed";
         EXPECT_EQ(format, formatBack);
@@ -430,6 +634,9 @@
     AudioSource invalid;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioSourceFromHal(kInvalidHalSource, &invalid));
     audio_source_t halInvalid;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioSourceToHal("", &halInvalid));
+    // INVALID source is not in XSD thus it's not allowed for transfer over HIDL.
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioSourceToHal("AUDIO_SOURCE_INVALID", &halInvalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioSourceToHal("random string", &halInvalid));
 }
 
@@ -453,6 +660,7 @@
     AudioStreamType invalid;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioStreamTypeFromHal(kInvalidHalStreamType, &invalid));
     audio_stream_type_t halInvalid;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioStreamTypeToHal("", &halInvalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioStreamTypeToHal("random string", &halInvalid));
 }
 
@@ -524,6 +732,7 @@
     AudioUsage invalid;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioUsageFromHal(kInvalidHalUsage, &invalid));
     audio_usage_t halInvalid;
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioUsageToHal("", &halInvalid));
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioUsageToHal("random string", &halInvalid));
 }
 
@@ -543,7 +752,7 @@
 TEST(HidlUtils, ConvertInvalidOffloadInfo) {
     AudioOffloadInfo invalid;
     audio_offload_info_t halInvalid = AUDIO_INFO_INITIALIZER;
-    halInvalid.channel_mask = AUDIO_CHANNEL_INVALID;
+    halInvalid.channel_mask = kInvalidHalChannelMask;
     halInvalid.format = kInvalidHalFormat;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioOffloadInfoFromHal(halInvalid, &invalid));
     invalid.base.channelMask = "random string";
@@ -553,9 +762,7 @@
 
 TEST(HidlUtils, ConvertOffloadInfo) {
     AudioOffloadInfo offloadInfo = {};
-    offloadInfo.base.sampleRateHz = 44100;
-    offloadInfo.base.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO);
-    offloadInfo.base.format = toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT);
+    offloadInfo.base = generateValidConfigBase(false /*isInput*/);
     offloadInfo.streamType = toString(xsd::AudioStreamType::AUDIO_STREAM_MUSIC);
     offloadInfo.bitRatePerSecond = 320;
     offloadInfo.durationMicroseconds = -1;
@@ -574,33 +781,76 @@
 
 TEST(HidlUtils, ConvertInvalidConfig) {
     AudioConfig invalid;
-    audio_config_t halInvalid = AUDIO_CONFIG_INITIALIZER;
-    halInvalid.channel_mask = AUDIO_CHANNEL_INVALID;
-    halInvalid.format = kInvalidHalFormat;
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigFromHal(halInvalid, false /*isInput*/, &invalid));
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigFromHal(halInvalid, true /*isInput*/, &invalid));
-    invalid.base.channelMask = "random string";
-    invalid.base.format = "random string";
-    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigToHal(invalid, &halInvalid));
+    audio_config_t halInvalidChannelMask = AUDIO_CONFIG_INITIALIZER;
+    halInvalidChannelMask.channel_mask = kInvalidHalChannelMask;
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigFromHal(halInvalidChannelMask, false /*isInput*/, &invalid));
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigFromHal(halInvalidChannelMask, true /*isInput*/, &invalid));
+    audio_config_t halInvalidFormat = AUDIO_CONFIG_INITIALIZER;
+    halInvalidFormat.format = kInvalidHalFormat;
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigFromHal(halInvalidFormat, false /*isInput*/, &invalid));
+    EXPECT_EQ(BAD_VALUE,
+              HidlUtils::audioConfigFromHal(halInvalidFormat, true /*isInput*/, &invalid));
+
+    AudioConfig invalidChannelMask;
+    audio_config_t halInvalid;
+    invalidChannelMask.base.channelMask = "random string";
+    invalidChannelMask.base.format = toString(xsd::AudioFormat::AUDIO_FORMAT_DEFAULT);
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigToHal(invalidChannelMask, &halInvalid));
+    AudioConfig invalidFormat;
+    invalidFormat.base.format = "random string";
+    invalidFormat.base.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_NONE);
+    EXPECT_EQ(BAD_VALUE, HidlUtils::audioConfigToHal(invalidFormat, &halInvalid));
+}
+
+TEST(HidlUtils, ConvertConfigDefault) {
+    audio_config_t halDefault = AUDIO_CONFIG_INITIALIZER;
+    AudioConfig defaultOut, defaultIn;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigFromHal(halDefault, false /*isInput*/, &defaultOut));
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigFromHal(halDefault, true /*isInput*/, &defaultIn));
+    EXPECT_EQ(defaultOut, defaultIn);
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigToHal(defaultOut, &halDefault));
+
+    // Note: empty channel mask and config are not valid values.
+    AudioConfig defaultCfg{};
+    defaultCfg.base.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_NONE);
+    defaultCfg.base.format = toString(xsd::AudioFormat::AUDIO_FORMAT_DEFAULT);
+    audio_config_t halDefaultCfg;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigToHal(defaultCfg, &halDefaultCfg));
+    AudioConfig defaultCfgBackOut, defaultCfgBackIn;
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigFromHal(halDefaultCfg, false /*isInput*/, &defaultCfgBackOut));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigFromHal(halDefaultCfg, true /*isInput*/, &defaultCfgBackIn));
+    EXPECT_EQ(defaultCfgBackOut, defaultCfgBackIn);
+    EXPECT_EQ(defaultCfg, defaultCfgBackOut);
 }
 
 TEST(HidlUtils, ConvertConfig) {
-    AudioConfig config = {};
-    config.base.sampleRateHz = 44100;
-    config.base.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO);
-    config.base.format = toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT);
-    audio_config_t halConfig;
-    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigToHal(config, &halConfig));
-    AudioConfig configBack;
-    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigFromHal(halConfig, false /*isInput*/, &configBack));
-    EXPECT_EQ(config, configBack);
+    AudioConfig configOut{};
+    configOut.base = generateValidConfigBase(false /*isInput*/);
+    audio_config_t halConfigOut;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigToHal(configOut, &halConfigOut));
+    AudioConfig configOutBack;
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigFromHal(halConfigOut, false /*isInput*/, &configOutBack));
+    EXPECT_EQ(configOut, configOutBack);
+
+    AudioConfig configIn{};
+    configIn.base = generateValidConfigBase(true /*isInput*/);
+    audio_config_t halConfigIn;
+    EXPECT_EQ(NO_ERROR, HidlUtils::audioConfigToHal(configIn, &halConfigIn));
+    AudioConfig configInBack;
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioConfigFromHal(halConfigIn, true /*isInput*/, &configInBack));
+    EXPECT_EQ(configIn, configInBack);
 }
 
 TEST(HidlUtils, ConvertConfigWithOffloadInfo) {
     AudioConfig config = {};
-    config.base.sampleRateHz = 44100;
-    config.base.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO);
-    config.base.format = toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT);
+    config.base = generateValidConfigBase(false /*isInput*/);
     config.offloadInfo.info(
             AudioOffloadInfo{.base = config.base,
                              .streamType = toString(xsd::AudioStreamType::AUDIO_STREAM_MUSIC),
@@ -655,18 +905,18 @@
     halInvalid.type = AUDIO_PORT_TYPE_MIX;
     halInvalid.role = AUDIO_PORT_ROLE_NONE;  // note: this is valid.
     halInvalid.config_mask = AUDIO_PORT_CONFIG_CHANNEL_MASK;
-    halInvalid.channel_mask = AUDIO_CHANNEL_INVALID;
+    halInvalid.channel_mask = kInvalidHalChannelMask;
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioPortConfigFromHal(halInvalid, &invalid));
-    invalid.base.channelMask = "random string";
+    invalid.base.channelMask.value("random string");
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioPortConfigToHal(invalid, &halInvalid));
 }
 
 TEST(HidlUtils, ConvertAudioPortConfig) {
     AudioPortConfig config = {};
     config.id = 42;
-    config.base.sampleRateHz = 44100;
-    config.base.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO);
-    config.base.format = toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT);
+    config.base.sampleRateHz.value(44100);
+    config.base.channelMask.value(toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO));
+    config.base.format.value(toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT));
     config.gain.config({});
     config.gain.config().channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO);
     config.ext.device({});
@@ -734,7 +984,7 @@
             {std::string(AUDIO_ATTRIBUTES_TAGS_MAX_SIZE - 1, HidlUtils::sAudioTagSeparator)}};
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioTagsToHal(tagSeparator, halTag));
 
-    hidl_vec<AudioTag> notExtensions = {{"random string", "VX_", "VX_GOOGLE_$$"}};
+    hidl_vec<AudioTag> notExtensions = {{"", "random string", "VX_", "VX_GOOGLE_$$"}};
     EXPECT_EQ(BAD_VALUE, HidlUtils::audioTagsToHal(notExtensions, halTag));
 }
 
@@ -743,20 +993,51 @@
     char halEmptyTags[AUDIO_ATTRIBUTES_TAGS_MAX_SIZE] = {};
     EXPECT_EQ(NO_ERROR, HidlUtils::audioTagsToHal(emptyTags, halEmptyTags));
     hidl_vec<AudioTag> emptyTagsBack;
-    EXPECT_EQ(NO_ERROR, HidlUtils::audioTagsFromHal(halEmptyTags, &emptyTagsBack));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioTagsFromHal(HidlUtils::splitAudioTags(halEmptyTags), &emptyTagsBack));
     EXPECT_EQ(emptyTags, emptyTagsBack);
 
     hidl_vec<AudioTag> oneTag = {{"VX_GOOGLE_VR"}};
     char halOneTag[AUDIO_ATTRIBUTES_TAGS_MAX_SIZE] = {};
     EXPECT_EQ(NO_ERROR, HidlUtils::audioTagsToHal(oneTag, halOneTag));
     hidl_vec<AudioTag> oneTagBack;
-    EXPECT_EQ(NO_ERROR, HidlUtils::audioTagsFromHal(halOneTag, &oneTagBack));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioTagsFromHal(HidlUtils::splitAudioTags(halOneTag), &oneTagBack));
     EXPECT_EQ(oneTag, oneTagBack);
 
     hidl_vec<AudioTag> twoTags = {{"VX_GOOGLE_VR_42", "VX_GOOGLE_1E100"}};
     char halTwoTags[AUDIO_ATTRIBUTES_TAGS_MAX_SIZE] = {};
     EXPECT_EQ(NO_ERROR, HidlUtils::audioTagsToHal(twoTags, halTwoTags));
     hidl_vec<AudioTag> twoTagsBack;
-    EXPECT_EQ(NO_ERROR, HidlUtils::audioTagsFromHal(halTwoTags, &twoTagsBack));
+    EXPECT_EQ(NO_ERROR,
+              HidlUtils::audioTagsFromHal(HidlUtils::splitAudioTags(halTwoTags), &twoTagsBack));
     EXPECT_EQ(twoTags, twoTagsBack);
 }
+
+template <typename T>
+class FilterTest : public ::testing::Test {};
+using FilterTestTypeParams = ::testing::Types<hidl_vec<AudioTag>, std::vector<std::string>>;
+TYPED_TEST_SUITE(FilterTest, FilterTestTypeParams);
+
+TYPED_TEST(FilterTest, FilterOutNonVendorTags) {
+    TypeParam emptyTags;
+    EXPECT_EQ(emptyTags, HidlUtils::filterOutNonVendorTags(emptyTags));
+
+    TypeParam allVendorTags = {{"VX_GOOGLE_VR_42", "VX_GOOGLE_1E100"}};
+    EXPECT_EQ(allVendorTags, HidlUtils::filterOutNonVendorTags(allVendorTags));
+
+    TypeParam oneVendorTag = {{"", "VX_GOOGLE_VR", "random_string"}};
+    TypeParam oneVendorTagOnly = HidlUtils::filterOutNonVendorTags(oneVendorTag);
+    EXPECT_EQ(1, oneVendorTagOnly.size());
+    EXPECT_EQ(oneVendorTag[1], oneVendorTagOnly[0]);
+
+    // The vendor extension isn't valid, however it must not be filtered out
+    // so the converter can detect the issue.
+    TypeParam oneMaybeVendorTag = {{"", "random string", "VX_GOOGLE_$$"}};
+    TypeParam oneMaybeVendorTagOnly = HidlUtils::filterOutNonVendorTags(oneMaybeVendorTag);
+    EXPECT_EQ(1, oneMaybeVendorTagOnly.size());
+    EXPECT_EQ(oneMaybeVendorTag[2], oneMaybeVendorTagOnly[0]);
+
+    TypeParam noVendorTags = {{"", "random string", "V_"}};
+    EXPECT_EQ(emptyTags, HidlUtils::filterOutNonVendorTags(noVendorTags));
+}
diff --git a/audio/core/all-versions/default/Android.bp b/audio/core/all-versions/default/Android.bp
index c75c779..e0f0894 100644
--- a/audio/core/all-versions/default/Android.bp
+++ b/audio/core/all-versions/default/Android.bp
@@ -1,7 +1,6 @@
 filegroup {
     name: "android.hardware.audio-impl_srcs",
     srcs: [
-        "Conversions.cpp",
         "Device.cpp",
         "DevicesFactory.cpp",
         "ParametersUtil.cpp",
@@ -64,6 +63,7 @@
     defaults: ["android.hardware.audio-impl_default"],
     shared_libs: [
         "android.hardware.audio@2.0",
+        "android.hardware.audio@2.0-util",
         "android.hardware.audio.common@2.0",
         "android.hardware.audio.common@2.0-util",
     ],
@@ -80,6 +80,7 @@
 
     shared_libs: [
         "android.hardware.audio@4.0",
+        "android.hardware.audio@4.0-util",
         "android.hardware.audio.common@4.0",
         "android.hardware.audio.common@4.0-util",
     ],
@@ -95,6 +96,7 @@
     defaults: ["android.hardware.audio-impl_default"],
     shared_libs: [
         "android.hardware.audio@5.0",
+        "android.hardware.audio@5.0-util",
         "android.hardware.audio.common@5.0",
         "android.hardware.audio.common@5.0-util",
     ],
@@ -110,6 +112,7 @@
     defaults: ["android.hardware.audio-impl_default"],
     shared_libs: [
         "android.hardware.audio@6.0",
+        "android.hardware.audio@6.0-util",
         "android.hardware.audio.common@6.0",
         "android.hardware.audio.common@6.0-util",
     ],
@@ -130,6 +133,7 @@
     defaults: ["android.hardware.audio-impl_default"],
     shared_libs: [
         "android.hardware.audio@7.0",
+        "android.hardware.audio@7.0-util",
         "android.hardware.audio.common@7.0",
         "android.hardware.audio.common@7.0-enums",
         "android.hardware.audio.common@7.0-util",
diff --git a/audio/core/all-versions/default/Conversions.cpp b/audio/core/all-versions/default/Conversions.cpp
deleted file mode 100644
index f1752cc..0000000
--- a/audio/core/all-versions/default/Conversions.cpp
+++ /dev/null
@@ -1,230 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include "core/default/Conversions.h"
-
-#include <stdio.h>
-
-#if MAJOR_VERSION >= 7
-#include <android_audio_policy_configuration_V7_0-enums.h>
-#endif
-#include <HidlUtils.h>
-#include <log/log.h>
-
-namespace android {
-namespace hardware {
-namespace audio {
-namespace CPP_VERSION {
-namespace implementation {
-
-using ::android::hardware::audio::common::CPP_VERSION::implementation::HidlUtils;
-
-#define CONVERT_CHECKED(expr, result)                   \
-    if (status_t status = (expr); status != NO_ERROR) { \
-        result = status;                                \
-    }
-
-status_t deviceAddressToHal(const DeviceAddress& device, audio_devices_t* halDeviceType,
-                            char* halDeviceAddress) {
-#if MAJOR_VERSION >= 5
-    return HidlUtils::deviceAddressToHal(device, halDeviceType, halDeviceAddress);
-#else
-    return HidlUtils::deviceAddressToHalImpl(device, halDeviceType, halDeviceAddress);
-#endif
-}
-
-status_t deviceAddressFromHal(audio_devices_t halDeviceType, const char* halDeviceAddress,
-                              DeviceAddress* device) {
-#if MAJOR_VERSION >= 5
-    return HidlUtils::deviceAddressFromHal(halDeviceType, halDeviceAddress, device);
-#else
-    return HidlUtils::deviceAddressFromHalImpl(halDeviceType, halDeviceAddress, device);
-#endif
-}
-
-#if MAJOR_VERSION >= 4
-bool halToMicrophoneCharacteristics(MicrophoneInfo* pDst,
-                                    const struct audio_microphone_characteristic_t& src) {
-    bool status = false;
-    if (pDst != NULL) {
-        pDst->deviceId = src.device_id;
-
-        if (deviceAddressFromHal(src.device, src.address, &pDst->deviceAddress) != OK) {
-            return false;
-        }
-        pDst->channelMapping.resize(AUDIO_CHANNEL_COUNT_MAX);
-        for (size_t ch = 0; ch < pDst->channelMapping.size(); ch++) {
-            pDst->channelMapping[ch] = AudioMicrophoneChannelMapping(src.channel_mapping[ch]);
-        }
-        pDst->location = AudioMicrophoneLocation(src.location);
-        pDst->group = (AudioMicrophoneGroup)src.group;
-        pDst->indexInTheGroup = (uint32_t)src.index_in_the_group;
-        pDst->sensitivity = src.sensitivity;
-        pDst->maxSpl = src.max_spl;
-        pDst->minSpl = src.min_spl;
-        pDst->directionality = AudioMicrophoneDirectionality(src.directionality);
-        pDst->frequencyResponse.resize(src.num_frequency_responses);
-        for (size_t k = 0; k < src.num_frequency_responses; k++) {
-            pDst->frequencyResponse[k].frequency = src.frequency_responses[0][k];
-            pDst->frequencyResponse[k].level = src.frequency_responses[1][k];
-        }
-        pDst->position.x = src.geometric_location.x;
-        pDst->position.y = src.geometric_location.y;
-        pDst->position.z = src.geometric_location.z;
-
-        pDst->orientation.x = src.orientation.x;
-        pDst->orientation.y = src.orientation.y;
-        pDst->orientation.z = src.orientation.z;
-
-        status = true;
-    }
-    return status;
-}
-
-status_t sinkMetadataToHal(const SinkMetadata& sinkMetadata,
-                           std::vector<record_track_metadata>* halTracks) {
-    status_t result = NO_ERROR;
-    if (halTracks != nullptr) {
-        halTracks->reserve(sinkMetadata.tracks.size());
-    }
-    for (auto& metadata : sinkMetadata.tracks) {
-        record_track_metadata halTrackMetadata{.gain = metadata.gain};
-        CONVERT_CHECKED(HidlUtils::audioSourceToHal(metadata.source, &halTrackMetadata.source),
-                        result);
-#if MAJOR_VERSION >= 5
-        if (metadata.destination.getDiscriminator() ==
-            RecordTrackMetadata::Destination::hidl_discriminator::device) {
-            CONVERT_CHECKED(
-                    deviceAddressToHal(metadata.destination.device(), &halTrackMetadata.dest_device,
-                                       halTrackMetadata.dest_device_address),
-                    result);
-        }
-#endif
-        if (halTracks != nullptr) {
-            halTracks->push_back(std::move(halTrackMetadata));
-        }
-    }
-    return result;
-}
-
-status_t sourceMetadataToHal(const SourceMetadata& sourceMetadata,
-                             std::vector<playback_track_metadata_t>* halTracks) {
-    status_t result = NO_ERROR;
-    if (halTracks != nullptr) {
-        halTracks->reserve(sourceMetadata.tracks.size());
-    }
-    for (auto& metadata : sourceMetadata.tracks) {
-        playback_track_metadata_t halTrackMetadata{.gain = metadata.gain};
-        CONVERT_CHECKED(HidlUtils::audioUsageToHal(metadata.usage, &halTrackMetadata.usage),
-                        result);
-        CONVERT_CHECKED(HidlUtils::audioContentTypeToHal(metadata.contentType,
-                                                         &halTrackMetadata.content_type),
-                        result);
-        if (halTracks != nullptr) {
-            halTracks->push_back(std::move(halTrackMetadata));
-        }
-    }
-    return result;
-}
-#endif  // MAJOR_VERSION >= 4
-
-#if MAJOR_VERSION >= 7
-namespace xsd {
-using namespace ::android::audio::policy::configuration::V7_0;
-}
-
-bool audioInputFlagsToHal(const hidl_vec<AudioInOutFlag>& flags, audio_input_flags_t* halFlags) {
-    bool success = true;
-    *halFlags = {};
-    for (const auto& flag : flags) {
-        audio_input_flags_t halFlag;
-        if (!xsd::isUnknownAudioInOutFlag(flag) &&
-            audio_input_flag_from_string(flag.c_str(), &halFlag)) {
-            *halFlags = static_cast<audio_input_flags_t>(*halFlags | halFlag);
-        } else {
-            ALOGE("Unknown audio input flag \"%s\"", flag.c_str());
-            success = false;
-        }
-    }
-    return success;
-}
-
-bool audioOutputFlagsToHal(const hidl_vec<AudioInOutFlag>& flags, audio_output_flags_t* halFlags) {
-    bool success = true;
-    *halFlags = {};
-    for (const auto& flag : flags) {
-        audio_output_flags_t halFlag;
-        if (!xsd::isUnknownAudioInOutFlag(flag) &&
-            audio_output_flag_from_string(flag.c_str(), &halFlag)) {
-            *halFlags = static_cast<audio_output_flags_t>(*halFlags | halFlag);
-        } else {
-            ALOGE("Unknown audio output flag \"%s\"", flag.c_str());
-            success = false;
-        }
-    }
-    return success;
-}
-
-status_t sinkMetadataToHalV7(const SinkMetadata& sinkMetadata,
-                             std::vector<record_track_metadata_v7_t>* halTracks) {
-    std::vector<record_track_metadata> bases;
-    status_t result = sinkMetadataToHal(sinkMetadata, halTracks != nullptr ? &bases : nullptr);
-    if (halTracks != nullptr) {
-        halTracks->reserve(bases.size());
-    }
-    auto baseIter = std::make_move_iterator(bases.begin());
-    for (auto& metadata : sinkMetadata.tracks) {
-        record_track_metadata_v7_t halTrackMetadata;
-        CONVERT_CHECKED(HidlUtils::audioChannelMaskToHal(metadata.channelMask,
-                                                         &halTrackMetadata.channel_mask),
-                        result);
-        CONVERT_CHECKED(HidlUtils::audioTagsToHal(metadata.tags, halTrackMetadata.tags), result);
-        if (halTracks != nullptr) {
-            halTrackMetadata.base = std::move(*baseIter++);
-            halTracks->push_back(std::move(halTrackMetadata));
-        }
-    }
-    return result;
-}
-
-status_t sourceMetadataToHalV7(const SourceMetadata& sourceMetadata,
-                               std::vector<playback_track_metadata_v7_t>* halTracks) {
-    std::vector<playback_track_metadata_t> bases;
-    status_t result = sourceMetadataToHal(sourceMetadata, halTracks != nullptr ? &bases : nullptr);
-    if (halTracks != nullptr) {
-        halTracks->reserve(bases.size());
-    }
-    auto baseIter = std::make_move_iterator(bases.begin());
-    for (auto& metadata : sourceMetadata.tracks) {
-        playback_track_metadata_v7_t halTrackMetadata;
-        CONVERT_CHECKED(HidlUtils::audioChannelMaskToHal(metadata.channelMask,
-                                                         &halTrackMetadata.channel_mask),
-                        result);
-        CONVERT_CHECKED(HidlUtils::audioTagsToHal(metadata.tags, halTrackMetadata.tags), result);
-        if (halTracks != nullptr) {
-            halTrackMetadata.base = std::move(*baseIter++);
-            halTracks->push_back(std::move(halTrackMetadata));
-        }
-    }
-    return result;
-}
-#endif
-
-}  // namespace implementation
-}  // namespace CPP_VERSION
-}  // namespace audio
-}  // namespace hardware
-}  // namespace android
diff --git a/audio/core/all-versions/default/Device.cpp b/audio/core/all-versions/default/Device.cpp
index 7caed44..70a1a4d 100644
--- a/audio/core/all-versions/default/Device.cpp
+++ b/audio/core/all-versions/default/Device.cpp
@@ -17,9 +17,7 @@
 #define LOG_TAG "DeviceHAL"
 
 #include "core/default/Device.h"
-#include <HidlUtils.h>
 #include "common/all-versions/default/EffectMap.h"
-#include "core/default/Conversions.h"
 #include "core/default/StreamIn.h"
 #include "core/default/StreamOut.h"
 #include "core/default/Util.h"
@@ -33,6 +31,8 @@
 
 #include <android/log.h>
 
+#include <HidlUtils.h>
+
 namespace android {
 namespace hardware {
 namespace audio {
@@ -160,11 +160,11 @@
     audio_stream_out_t* halStream;
     audio_devices_t halDevice;
     char halDeviceAddress[AUDIO_DEVICE_MAX_ADDRESS_LEN];
-    if (deviceAddressToHal(device, &halDevice, halDeviceAddress) != NO_ERROR) {
+    if (CoreUtils::deviceAddressToHal(device, &halDevice, halDeviceAddress) != NO_ERROR) {
         return {Result::INVALID_ARGUMENTS, nullptr};
     }
     audio_output_flags_t halFlags;
-    if (!audioOutputFlagsToHal(flags, &halFlags)) {
+    if (CoreUtils::audioOutputFlagsToHal(flags, &halFlags) != NO_ERROR) {
         return {Result::INVALID_ARGUMENTS, nullptr};
     }
     ALOGV("open_output_stream handle: %d devices: %x flags: %#x "
@@ -195,12 +195,12 @@
     audio_stream_in_t* halStream;
     audio_devices_t halDevice;
     char halDeviceAddress[AUDIO_DEVICE_MAX_ADDRESS_LEN];
-    if (deviceAddressToHal(device, &halDevice, halDeviceAddress) != NO_ERROR) {
+    if (CoreUtils::deviceAddressToHal(device, &halDevice, halDeviceAddress) != NO_ERROR) {
         return {Result::INVALID_ARGUMENTS, nullptr};
     }
     audio_input_flags_t halFlags;
     audio_source_t halSource;
-    if (!audioInputFlagsToHal(flags, &halFlags) ||
+    if (CoreUtils::audioInputFlagsToHal(flags, &halFlags) != NO_ERROR ||
         HidlUtils::audioSourceToHal(source, &halSource) != NO_ERROR) {
         return {Result::INVALID_ARGUMENTS, nullptr};
     }
@@ -254,9 +254,12 @@
                                       const SourceMetadata& sourceMetadata,
                                       openOutputStream_cb _hidl_cb) {
 #if MAJOR_VERSION <= 6
-    if (status_t status = sourceMetadataToHal(sourceMetadata, nullptr); status != NO_ERROR) {
+    if (status_t status = CoreUtils::sourceMetadataToHal(sourceMetadata, nullptr);
+        status != NO_ERROR) {
 #else
-    if (status_t status = sourceMetadataToHalV7(sourceMetadata, nullptr); status != NO_ERROR) {
+    if (status_t status = CoreUtils::sourceMetadataToHalV7(sourceMetadata,
+                                                           false /*ignoreNonVendorTags*/, nullptr);
+        status != NO_ERROR) {
 #endif
         _hidl_cb(analyzeStatus("sourceMetadataToHal", status), nullptr, AudioConfig{});
         return Void();
@@ -288,9 +291,11 @@
         return Void();
     }
 #if MAJOR_VERSION <= 6
-    if (status_t status = sinkMetadataToHal(sinkMetadata, nullptr); status != NO_ERROR) {
+    if (status_t status = CoreUtils::sinkMetadataToHal(sinkMetadata, nullptr); status != NO_ERROR) {
 #else
-    if (status_t status = sinkMetadataToHalV7(sinkMetadata, nullptr); status != NO_ERROR) {
+    if (status_t status = CoreUtils::sinkMetadataToHalV7(sinkMetadata,
+                                                         false /*ignoreNonVendorTags*/, nullptr);
+        status != NO_ERROR) {
 #endif
         _hidl_cb(analyzeStatus("sinkMetadataToHal", status), nullptr, AudioConfig{});
         return Void();
@@ -444,7 +449,7 @@
         mDevice->get_microphones(mDevice, &mic_array[0], &actual_mics) == 0) {
         microphones.resize(actual_mics);
         for (size_t i = 0; i < actual_mics; ++i) {
-            halToMicrophoneCharacteristics(&microphones[i], mic_array[i]);
+            (void)CoreUtils::microphoneInfoFromHal(mic_array[i], &microphones[i]);
         }
         retval = Result::OK;
     }
diff --git a/audio/core/all-versions/default/ParametersUtil.cpp b/audio/core/all-versions/default/ParametersUtil.cpp
index 694eb73..4d53645 100644
--- a/audio/core/all-versions/default/ParametersUtil.cpp
+++ b/audio/core/all-versions/default/ParametersUtil.cpp
@@ -15,11 +15,12 @@
  */
 
 #include "core/default/ParametersUtil.h"
-#include "core/default/Conversions.h"
 #include "core/default/Util.h"
 
 #include <system/audio.h>
 
+#include <util/CoreUtils.h>
+
 namespace android {
 namespace hardware {
 namespace audio {
@@ -153,7 +154,7 @@
 Result ParametersUtil::setParam(const char* name, const DeviceAddress& address) {
     audio_devices_t halDeviceType;
     char halDeviceAddress[AUDIO_DEVICE_MAX_ADDRESS_LEN];
-    if (deviceAddressToHal(address, &halDeviceType, halDeviceAddress) != NO_ERROR) {
+    if (CoreUtils::deviceAddressToHal(address, &halDeviceType, halDeviceAddress) != NO_ERROR) {
         return Result::INVALID_ARGUMENTS;
     }
     AudioParameter params{String8(halDeviceAddress)};
diff --git a/audio/core/all-versions/default/Stream.cpp b/audio/core/all-versions/default/Stream.cpp
index f964cbb..7e32573 100644
--- a/audio/core/all-versions/default/Stream.cpp
+++ b/audio/core/all-versions/default/Stream.cpp
@@ -19,7 +19,6 @@
 #include "core/default/Stream.h"
 #include "common/all-versions/HidlSupport.h"
 #include "common/all-versions/default/EffectMap.h"
-#include "core/default/Conversions.h"
 #include "core/default/Util.h"
 
 #include <inttypes.h>
@@ -30,6 +29,7 @@
 #include <hardware/audio_effect.h>
 #include <media/AudioContainers.h>
 #include <media/TypeConverter.h>
+#include <util/CoreUtils.h>
 
 namespace android {
 namespace hardware {
@@ -278,23 +278,36 @@
     return Void();
 }
 
-Return<Result> Stream::setAudioProperties(const AudioConfigBase& config) {
-    audio_config_base_t halConfigBase = {};
-    status_t status = HidlUtils::audioConfigBaseToHal(config, &halConfigBase);
+Return<Result> Stream::setAudioProperties(const AudioConfigBaseOptional& config) {
+    audio_config_base_t halConfigBase = AUDIO_CONFIG_BASE_INITIALIZER;
+    bool formatSpecified, sRateSpecified, channelMaskSpecified;
+    status_t status = HidlUtils::audioConfigBaseOptionalToHal(
+            config, &halConfigBase, &formatSpecified, &sRateSpecified, &channelMaskSpecified);
     if (status != NO_ERROR) {
         return Stream::analyzeStatus("set_audio_properties", status);
     }
-    if (Result result = setParam(AudioParameter::keySamplingRate,
-                                 static_cast<int>(halConfigBase.sample_rate));
-        result != Result::OK) {
-        return result;
+    if (sRateSpecified) {
+        if (Result result = setParam(AudioParameter::keySamplingRate,
+                                     static_cast<int>(halConfigBase.sample_rate));
+            result != Result::OK) {
+            return result;
+        }
     }
-    if (Result result =
-                setParam(AudioParameter::keyChannels, static_cast<int>(halConfigBase.channel_mask));
-        result != Result::OK) {
-        return result;
+    if (channelMaskSpecified) {
+        if (Result result = setParam(AudioParameter::keyChannels,
+                                     static_cast<int>(halConfigBase.channel_mask));
+            result != Result::OK) {
+            return result;
+        }
     }
-    return setParam(AudioParameter::keyFormat, static_cast<int>(halConfigBase.format));
+    if (formatSpecified) {
+        if (Result result =
+                    setParam(AudioParameter::keyFormat, static_cast<int>(halConfigBase.format));
+            result != Result::OK) {
+            return result;
+        }
+    }
+    return Result::OK;
 }
 
 #endif  // MAJOR_VERSION <= 6
@@ -360,9 +373,10 @@
     hidl_vec<DeviceAddress> devices;
     if (retval == Result::OK) {
         devices.resize(1);
-        retval = Stream::analyzeStatus("get_devices",
-                                       deviceAddressFromHal(static_cast<audio_devices_t>(halDevice),
-                                                            nullptr, &devices[0]));
+        retval = Stream::analyzeStatus(
+                "get_devices",
+                CoreUtils::deviceAddressFromHal(static_cast<audio_devices_t>(halDevice), nullptr,
+                                                &devices[0]));
     }
     _hidl_cb(retval, devices);
     return Void();
diff --git a/audio/core/all-versions/default/StreamIn.cpp b/audio/core/all-versions/default/StreamIn.cpp
index 2c5e9f1..599f3c3 100644
--- a/audio/core/all-versions/default/StreamIn.cpp
+++ b/audio/core/all-versions/default/StreamIn.cpp
@@ -17,7 +17,6 @@
 #define LOG_TAG "StreamInHAL"
 
 #include "core/default/StreamIn.h"
-#include "core/default/Conversions.h"
 #include "core/default/Util.h"
 #include "common/all-versions/HidlSupport.h"
 
@@ -27,6 +26,7 @@
 #include <HidlUtils.h>
 #include <android/log.h>
 #include <hardware/audio.h>
+#include <util/CoreUtils.h>
 #include <utils/Trace.h>
 #include <cmath>
 #include <memory>
@@ -233,7 +233,7 @@
     return mStreamCommon->getSupportedProfiles(_hidl_cb);
 }
 
-Return<Result> StreamIn::setAudioProperties(const AudioConfigBase& config) {
+Return<Result> StreamIn::setAudioProperties(const AudioConfigBaseOptional& config) {
     return mStreamCommon->setAudioProperties(config);
 }
 
@@ -481,13 +481,15 @@
 Result StreamIn::doUpdateSinkMetadata(const SinkMetadata& sinkMetadata) {
     std::vector<record_track_metadata> halTracks;
 #if MAJOR_VERSION <= 6
-    (void)sinkMetadataToHal(sinkMetadata, &halTracks);
+    (void)CoreUtils::sinkMetadataToHal(sinkMetadata, &halTracks);
 #else
     // Validate whether a conversion to V7 is possible. This is needed
     // to have a consistent behavior of the HAL regardless of the API
     // version of the legacy HAL (and also to be consistent with openInputStream).
     std::vector<record_track_metadata_v7> halTracksV7;
-    if (status_t status = sinkMetadataToHalV7(sinkMetadata, &halTracksV7); status == NO_ERROR) {
+    if (status_t status = CoreUtils::sinkMetadataToHalV7(
+                sinkMetadata, false /*ignoreNonVendorTags*/, &halTracksV7);
+        status == NO_ERROR) {
         halTracks.reserve(halTracksV7.size());
         for (auto metadata_v7 : halTracksV7) {
             halTracks.push_back(std::move(metadata_v7.base));
@@ -507,7 +509,9 @@
 #if MAJOR_VERSION >= 7
 Result StreamIn::doUpdateSinkMetadataV7(const SinkMetadata& sinkMetadata) {
     std::vector<record_track_metadata_v7> halTracks;
-    if (status_t status = sinkMetadataToHalV7(sinkMetadata, &halTracks); status != NO_ERROR) {
+    if (status_t status = CoreUtils::sinkMetadataToHalV7(sinkMetadata,
+                                                         false /*ignoreNonVendorTags*/, &halTracks);
+        status != NO_ERROR) {
         return Stream::analyzeStatus("sinkMetadataToHal", status);
     }
     const sink_metadata_v7_t halMetadata = {
@@ -553,7 +557,7 @@
         mStream->get_active_microphones(mStream, &mic_array[0], &actual_mics) == 0) {
         microphones.resize(actual_mics);
         for (size_t i = 0; i < actual_mics; ++i) {
-            halToMicrophoneCharacteristics(&microphones[i], mic_array[i]);
+            (void)CoreUtils::microphoneInfoFromHal(mic_array[i], &microphones[i]);
         }
         retval = Result::OK;
     }
diff --git a/audio/core/all-versions/default/StreamOut.cpp b/audio/core/all-versions/default/StreamOut.cpp
index b5ddba0..5e4dd2a 100644
--- a/audio/core/all-versions/default/StreamOut.cpp
+++ b/audio/core/all-versions/default/StreamOut.cpp
@@ -17,7 +17,6 @@
 #define LOG_TAG "StreamOutHAL"
 
 #include "core/default/StreamOut.h"
-#include "core/default/Conversions.h"
 #include "core/default/Util.h"
 
 //#define LOG_NDEBUG 0
@@ -30,6 +29,7 @@
 #include <HidlUtils.h>
 #include <android/log.h>
 #include <hardware/audio.h>
+#include <util/CoreUtils.h>
 #include <utils/Trace.h>
 
 namespace android {
@@ -239,7 +239,7 @@
     return mStreamCommon->getSupportedProfiles(_hidl_cb);
 }
 
-Return<Result> StreamOut::setAudioProperties(const AudioConfigBase& config) {
+Return<Result> StreamOut::setAudioProperties(const AudioConfigBaseOptional& config) {
     return mStreamCommon->setAudioProperties(config);
 }
 
@@ -589,13 +589,15 @@
 Result StreamOut::doUpdateSourceMetadata(const SourceMetadata& sourceMetadata) {
     std::vector<playback_track_metadata_t> halTracks;
 #if MAJOR_VERSION <= 6
-    (void)sourceMetadataToHal(sourceMetadata, &halTracks);
+    (void)CoreUtils::sourceMetadataToHal(sourceMetadata, &halTracks);
 #else
     // Validate whether a conversion to V7 is possible. This is needed
     // to have a consistent behavior of the HAL regardless of the API
     // version of the legacy HAL (and also to be consistent with openOutputStream).
     std::vector<playback_track_metadata_v7> halTracksV7;
-    if (status_t status = sourceMetadataToHalV7(sourceMetadata, &halTracksV7); status == NO_ERROR) {
+    if (status_t status = CoreUtils::sourceMetadataToHalV7(
+                sourceMetadata, false /*ignoreNonVendorTags*/, &halTracksV7);
+        status == NO_ERROR) {
         halTracks.reserve(halTracksV7.size());
         for (auto metadata_v7 : halTracksV7) {
             halTracks.push_back(std::move(metadata_v7.base));
@@ -615,7 +617,9 @@
 #if MAJOR_VERSION >= 7
 Result StreamOut::doUpdateSourceMetadataV7(const SourceMetadata& sourceMetadata) {
     std::vector<playback_track_metadata_v7> halTracks;
-    if (status_t status = sourceMetadataToHalV7(sourceMetadata, &halTracks); status != NO_ERROR) {
+    if (status_t status = CoreUtils::sourceMetadataToHalV7(
+                sourceMetadata, false /*ignoreNonVendorTags*/, &halTracks);
+        status != NO_ERROR) {
         return Stream::analyzeStatus("sourceMetadataToHal", status);
     }
     const source_metadata_v7_t halMetadata = {
diff --git a/audio/core/all-versions/default/TEST_MAPPING b/audio/core/all-versions/default/TEST_MAPPING
new file mode 100644
index 0000000..d53c97a
--- /dev/null
+++ b/audio/core/all-versions/default/TEST_MAPPING
@@ -0,0 +1,7 @@
+{
+  "presubmit": [
+    {
+      "name": "android.hardware.audio@7.0-util_tests"
+    }
+  ]
+}
diff --git a/audio/core/all-versions/default/include/core/default/Conversions.h b/audio/core/all-versions/default/include/core/default/Conversions.h
deleted file mode 100644
index 61720d5..0000000
--- a/audio/core/all-versions/default/include/core/default/Conversions.h
+++ /dev/null
@@ -1,83 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef ANDROID_HARDWARE_AUDIO_CONVERSIONS_H_
-#define ANDROID_HARDWARE_AUDIO_CONVERSIONS_H_
-
-#include PATH(android/hardware/audio/FILE_VERSION/types.h)
-
-#include <string>
-
-#include <system/audio.h>
-
-#include <VersionUtils.h>
-
-namespace android {
-namespace hardware {
-namespace audio {
-namespace CPP_VERSION {
-namespace implementation {
-
-using ::android::hardware::hidl_vec;
-using namespace ::android::hardware::audio::common::CPP_VERSION;
-using namespace ::android::hardware::audio::CPP_VERSION;
-
-status_t deviceAddressToHal(const DeviceAddress& device, audio_devices_t* halDeviceType,
-                            char* halDeviceAddress);
-status_t deviceAddressFromHal(audio_devices_t halDeviceType, const char* halDeviceAddress,
-                              DeviceAddress* device);
-
-#if MAJOR_VERSION >= 4
-bool halToMicrophoneCharacteristics(MicrophoneInfo* pDst,
-                                    const struct audio_microphone_characteristic_t& src);
-status_t sinkMetadataToHal(const SinkMetadata& sinkMetadata,
-                           std::vector<record_track_metadata>* halTracks);
-status_t sourceMetadataToHal(const SourceMetadata& sourceMetadata,
-                             std::vector<playback_track_metadata_t>* halTracks);
-#endif
-
-#if MAJOR_VERSION <= 6
-using AudioInputFlags =
-        ::android::hardware::audio::common::CPP_VERSION::implementation::AudioInputFlagBitfield;
-using AudioOutputFlags =
-        ::android::hardware::audio::common::CPP_VERSION::implementation::AudioOutputFlagBitfield;
-
-inline bool audioInputFlagsToHal(AudioInputFlags flags, audio_input_flags_t* halFlags) {
-    *halFlags = static_cast<audio_input_flags_t>(flags);
-    return true;
-}
-
-inline bool audioOutputFlagsToHal(AudioOutputFlags flags, audio_output_flags_t* halFlags) {
-    *halFlags = static_cast<audio_output_flags_t>(flags);
-    return true;
-}
-#else
-bool audioInputFlagsToHal(const hidl_vec<AudioInOutFlag>& flags, audio_input_flags_t* halFlags);
-bool audioOutputFlagsToHal(const hidl_vec<AudioInOutFlag>& flags, audio_output_flags_t* halFlags);
-// Overloading isn't convenient when passing a nullptr.
-status_t sinkMetadataToHalV7(const SinkMetadata& sinkMetadata,
-                             std::vector<record_track_metadata_v7_t>* halTracks);
-status_t sourceMetadataToHalV7(const SourceMetadata& sourceMetadata,
-                               std::vector<playback_track_metadata_v7_t>* halTracks);
-#endif
-
-}  // namespace implementation
-}  // namespace CPP_VERSION
-}  // namespace audio
-}  // namespace hardware
-}  // namespace android
-
-#endif  // ANDROID_HARDWARE_AUDIO_CONVERSIONS_H_
diff --git a/audio/core/all-versions/default/include/core/default/Device.h b/audio/core/all-versions/default/include/core/default/Device.h
index 2a4d226..5851fc9 100644
--- a/audio/core/all-versions/default/include/core/default/Device.h
+++ b/audio/core/all-versions/default/include/core/default/Device.h
@@ -31,6 +31,7 @@
 #include <hidl/MQDescriptor.h>
 
 #include <VersionUtils.h>
+#include <util/CoreUtils.h>
 
 namespace android {
 namespace hardware {
@@ -43,17 +44,10 @@
 using ::android::hardware::hidl_vec;
 using ::android::hardware::Return;
 using ::android::hardware::Void;
-#if MAJOR_VERSION <= 6
-using AudioInputFlags =
-        ::android::hardware::audio::common::CPP_VERSION::implementation::AudioInputFlagBitfield;
-using AudioOutputFlags =
-        ::android::hardware::audio::common::CPP_VERSION::implementation::AudioOutputFlagBitfield;
-#else
-using AudioInputFlags = hidl_vec<::android::hardware::audio::CPP_VERSION::AudioInOutFlag>;
-using AudioOutputFlags = hidl_vec<::android::hardware::audio::CPP_VERSION::AudioInOutFlag>;
-#endif
 using namespace ::android::hardware::audio::common::CPP_VERSION;
 using namespace ::android::hardware::audio::CPP_VERSION;
+using AudioInputFlags = CoreUtils::AudioInputFlags;
+using AudioOutputFlags = CoreUtils::AudioOutputFlags;
 
 struct Device : public IDevice, public ParametersUtil {
     explicit Device(audio_hw_device_t* device);
diff --git a/audio/core/all-versions/default/include/core/default/Stream.h b/audio/core/all-versions/default/include/core/default/Stream.h
index 0865992..66d60e3 100644
--- a/audio/core/all-versions/default/include/core/default/Stream.h
+++ b/audio/core/all-versions/default/include/core/default/Stream.h
@@ -77,7 +77,7 @@
     Return<Result> setFormat(AudioFormat format) override;
 #else
     Return<void> getSupportedProfiles(getSupportedProfiles_cb _hidl_cb) override;
-    Return<Result> setAudioProperties(const AudioConfigBase& config) override;
+    Return<Result> setAudioProperties(const AudioConfigBaseOptional& config) override;
 #endif  // MAJOR_VERSION <= 6
     Return<void> getAudioProperties(getAudioProperties_cb _hidl_cb) override;
     Return<Result> addEffect(uint64_t effectId) override;
diff --git a/audio/core/all-versions/default/include/core/default/StreamIn.h b/audio/core/all-versions/default/include/core/default/StreamIn.h
index 651b3a6..a980f3f 100644
--- a/audio/core/all-versions/default/include/core/default/StreamIn.h
+++ b/audio/core/all-versions/default/include/core/default/StreamIn.h
@@ -72,7 +72,7 @@
     Return<Result> setFormat(AudioFormat format) override;
 #else
     Return<void> getSupportedProfiles(getSupportedProfiles_cb _hidl_cb) override;
-    Return<Result> setAudioProperties(const AudioConfigBase& config) override;
+    Return<Result> setAudioProperties(const AudioConfigBaseOptional& config) override;
 #endif  // MAJOR_VERSION <= 6
     Return<void> getAudioProperties(getAudioProperties_cb _hidl_cb) override;
     Return<Result> addEffect(uint64_t effectId) override;
diff --git a/audio/core/all-versions/default/include/core/default/StreamOut.h b/audio/core/all-versions/default/include/core/default/StreamOut.h
index 02d8e89..0b07972 100644
--- a/audio/core/all-versions/default/include/core/default/StreamOut.h
+++ b/audio/core/all-versions/default/include/core/default/StreamOut.h
@@ -73,7 +73,7 @@
     Return<Result> setFormat(AudioFormat format) override;
 #else
     Return<void> getSupportedProfiles(getSupportedProfiles_cb _hidl_cb) override;
-    Return<Result> setAudioProperties(const AudioConfigBase& config) override;
+    Return<Result> setAudioProperties(const AudioConfigBaseOptional& config) override;
 #endif  // MAJOR_VERSION <= 6
     Return<void> getAudioProperties(getAudioProperties_cb _hidl_cb) override;
     Return<Result> addEffect(uint64_t effectId) override;
diff --git a/audio/core/all-versions/default/util/Android.bp b/audio/core/all-versions/default/util/Android.bp
new file mode 100644
index 0000000..447184b
--- /dev/null
+++ b/audio/core/all-versions/default/util/Android.bp
@@ -0,0 +1,139 @@
+cc_defaults {
+    name: "android.hardware.audio-util_default",
+    defaults: ["hidl_defaults"],
+
+    vendor_available: true,
+
+    export_include_dirs: ["include"],
+
+    srcs: [
+        "CoreUtils.cpp",
+    ],
+
+    shared_libs: [
+        "liblog",
+        "libutils",
+        "libhidlbase",
+        "android.hardware.audio.common-util",
+    ],
+    export_shared_lib_headers: [
+        "android.hardware.audio.common-util",
+    ],
+
+    header_libs: [
+        "libaudio_system_headers",
+        "libhardware_headers",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio@2.0-util",
+    defaults: ["android.hardware.audio-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@2.0",
+        "android.hardware.audio.common@2.0-util",
+        "android.hardware.audio@2.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=2",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio@4.0-util",
+    defaults: ["android.hardware.audio-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@4.0",
+        "android.hardware.audio.common@4.0-util",
+        "android.hardware.audio@4.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=4",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio@5.0-util",
+    defaults: ["android.hardware.audio-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@5.0",
+        "android.hardware.audio.common@5.0-util",
+        "android.hardware.audio@5.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=5",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio@6.0-util",
+    defaults: ["android.hardware.audio-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@6.0",
+        "android.hardware.audio.common@6.0-util",
+        "android.hardware.audio@6.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=6",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library {
+    name: "android.hardware.audio@7.0-util",
+    defaults: ["android.hardware.audio-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@7.0",
+        "android.hardware.audio.common@7.0-enums",
+        "android.hardware.audio.common@7.0-util",
+        "android.hardware.audio@7.0",
+        "libbase",
+        "libxml2",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=7",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+// Note: this isn't a VTS test, but rather a unit test
+// to verify correctness of conversion utilities.
+cc_test {
+    name: "android.hardware.audio@7.0-util_tests",
+    defaults: ["android.hardware.audio-util_default"],
+
+    srcs: ["tests/coreutils_tests.cpp"],
+
+    // Use static linking to allow running in presubmit on
+    // targets that don't have HAL V7.
+    static_libs: [
+        "android.hardware.audio.common@7.0",
+        "android.hardware.audio.common@7.0-enums",
+        "android.hardware.audio.common@7.0-util",
+        "android.hardware.audio@7.0",
+        "android.hardware.audio@7.0-util",
+    ],
+
+    shared_libs: [
+        "libbase",
+        "libxml2",
+    ],
+
+    cflags: [
+        "-Werror",
+        "-Wall",
+        "-DMAJOR_VERSION=7",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+
+    test_suites: ["device-tests"],
+}
diff --git a/audio/core/all-versions/default/util/CoreUtils.cpp b/audio/core/all-versions/default/util/CoreUtils.cpp
new file mode 100644
index 0000000..14f76f3
--- /dev/null
+++ b/audio/core/all-versions/default/util/CoreUtils.cpp
@@ -0,0 +1,476 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#if MAJOR_VERSION >= 7
+#include <android_audio_policy_configuration_V7_0-enums.h>
+#endif
+#include <HidlUtils.h>
+#include <log/log.h>
+
+#include "util/CoreUtils.h"
+
+using ::android::hardware::audio::common::CPP_VERSION::implementation::HidlUtils;
+#if MAJOR_VERSION >= 7
+namespace xsd {
+using namespace ::android::audio::policy::configuration::V7_0;
+}
+#endif
+
+namespace android {
+namespace hardware {
+namespace audio {
+namespace CPP_VERSION {
+namespace implementation {
+
+#define CONVERT_CHECKED(expr, result)                   \
+    if (status_t status = (expr); status != NO_ERROR) { \
+        result = status;                                \
+    }
+
+status_t CoreUtils::deviceAddressToHal(const DeviceAddress& device, audio_devices_t* halDeviceType,
+                                       char* halDeviceAddress) {
+#if MAJOR_VERSION >= 5
+    return HidlUtils::deviceAddressToHal(device, halDeviceType, halDeviceAddress);
+#else
+    return HidlUtils::deviceAddressToHalImpl(device, halDeviceType, halDeviceAddress);
+#endif
+}
+
+status_t CoreUtils::deviceAddressFromHal(audio_devices_t halDeviceType,
+                                         const char* halDeviceAddress, DeviceAddress* device) {
+#if MAJOR_VERSION >= 5
+    return HidlUtils::deviceAddressFromHal(halDeviceType, halDeviceAddress, device);
+#else
+    return HidlUtils::deviceAddressFromHalImpl(halDeviceType, halDeviceAddress, device);
+#endif
+}
+
+#if MAJOR_VERSION >= 4
+status_t CoreUtils::microphoneInfoFromHal(
+        const struct audio_microphone_characteristic_t& halMicInfo, MicrophoneInfo* micInfo) {
+    status_t result = NO_ERROR;
+    micInfo->deviceId = halMicInfo.device_id;
+    CONVERT_CHECKED(
+            deviceAddressFromHal(halMicInfo.device, halMicInfo.address, &micInfo->deviceAddress),
+            result);
+    size_t chCount;
+    for (chCount = 0; chCount < AUDIO_CHANNEL_COUNT_MAX; ++chCount) {
+        if (halMicInfo.channel_mapping[chCount] == AUDIO_MICROPHONE_CHANNEL_MAPPING_UNUSED) {
+            break;
+        }
+    }
+    micInfo->channelMapping.resize(chCount);
+    for (size_t ch = 0; ch < micInfo->channelMapping.size(); ch++) {
+        micInfo->channelMapping[ch] = AudioMicrophoneChannelMapping(halMicInfo.channel_mapping[ch]);
+    }
+    micInfo->location = AudioMicrophoneLocation(halMicInfo.location);
+    micInfo->group = AudioMicrophoneGroup(halMicInfo.group);
+    micInfo->indexInTheGroup = static_cast<uint32_t>(halMicInfo.index_in_the_group);
+    micInfo->sensitivity = halMicInfo.sensitivity;
+    micInfo->maxSpl = halMicInfo.max_spl;
+    micInfo->minSpl = halMicInfo.min_spl;
+    micInfo->directionality = AudioMicrophoneDirectionality(halMicInfo.directionality);
+    micInfo->frequencyResponse.resize(halMicInfo.num_frequency_responses);
+    for (size_t k = 0; k < halMicInfo.num_frequency_responses; k++) {
+        micInfo->frequencyResponse[k].frequency = halMicInfo.frequency_responses[0][k];
+        micInfo->frequencyResponse[k].level = halMicInfo.frequency_responses[1][k];
+    }
+    micInfo->position.x = halMicInfo.geometric_location.x;
+    micInfo->position.y = halMicInfo.geometric_location.y;
+    micInfo->position.z = halMicInfo.geometric_location.z;
+    micInfo->orientation.x = halMicInfo.orientation.x;
+    micInfo->orientation.y = halMicInfo.orientation.y;
+    micInfo->orientation.z = halMicInfo.orientation.z;
+    return result;
+}
+
+status_t CoreUtils::microphoneInfoToHal(const MicrophoneInfo& micInfo,
+                                        audio_microphone_characteristic_t* halMicInfo) {
+    status_t result = NO_ERROR;
+    strncpy(halMicInfo->device_id, micInfo.deviceId.c_str(), AUDIO_MICROPHONE_ID_MAX_LEN);
+    halMicInfo->device_id[AUDIO_MICROPHONE_ID_MAX_LEN - 1] = '\0';
+    if (micInfo.deviceId.size() >= AUDIO_MICROPHONE_ID_MAX_LEN) {
+        ALOGE("HIDL MicrophoneInfo device ID is too long: %zu", micInfo.deviceId.size());
+        result = BAD_VALUE;
+    }
+    CONVERT_CHECKED(
+            deviceAddressToHal(micInfo.deviceAddress, &halMicInfo->device, halMicInfo->address),
+            result);
+    if (micInfo.channelMapping.size() > AUDIO_CHANNEL_COUNT_MAX) {
+        ALOGE("HIDL MicrophoneInfo has too many channelMapping elements: %zu",
+              micInfo.channelMapping.size());
+        result = BAD_VALUE;
+    }
+    size_t ch;
+    for (ch = 0; ch < micInfo.channelMapping.size() && ch < AUDIO_CHANNEL_COUNT_MAX; ch++) {
+        halMicInfo->channel_mapping[ch] =
+                static_cast<audio_microphone_channel_mapping_t>(micInfo.channelMapping[ch]);
+    }
+    for (; ch < AUDIO_CHANNEL_COUNT_MAX; ch++) {
+        halMicInfo->channel_mapping[ch] = AUDIO_MICROPHONE_CHANNEL_MAPPING_UNUSED;
+    }
+    halMicInfo->location = static_cast<audio_microphone_location_t>(micInfo.location);
+    halMicInfo->group = static_cast<audio_microphone_group_t>(micInfo.group);
+    halMicInfo->index_in_the_group = static_cast<unsigned int>(micInfo.indexInTheGroup);
+    halMicInfo->sensitivity = micInfo.sensitivity;
+    halMicInfo->max_spl = micInfo.maxSpl;
+    halMicInfo->min_spl = micInfo.minSpl;
+    halMicInfo->directionality =
+            static_cast<audio_microphone_directionality_t>(micInfo.directionality);
+    halMicInfo->num_frequency_responses =
+            static_cast<unsigned int>(micInfo.frequencyResponse.size());
+    if (halMicInfo->num_frequency_responses > AUDIO_MICROPHONE_MAX_FREQUENCY_RESPONSES) {
+        ALOGE("HIDL MicrophoneInfo has too many frequency responses: %u",
+              halMicInfo->num_frequency_responses);
+        halMicInfo->num_frequency_responses = AUDIO_MICROPHONE_MAX_FREQUENCY_RESPONSES;
+        result = BAD_VALUE;
+    }
+    for (size_t k = 0; k < halMicInfo->num_frequency_responses; k++) {
+        halMicInfo->frequency_responses[0][k] = micInfo.frequencyResponse[k].frequency;
+        halMicInfo->frequency_responses[1][k] = micInfo.frequencyResponse[k].level;
+    }
+    halMicInfo->geometric_location.x = micInfo.position.x;
+    halMicInfo->geometric_location.y = micInfo.position.y;
+    halMicInfo->geometric_location.z = micInfo.position.z;
+    halMicInfo->orientation.x = micInfo.orientation.x;
+    halMicInfo->orientation.y = micInfo.orientation.y;
+    halMicInfo->orientation.z = micInfo.orientation.z;
+    return result;
+}
+
+status_t CoreUtils::sinkMetadataFromHal(const std::vector<record_track_metadata_t>& halTracks,
+                                        SinkMetadata* sinkMetadata) {
+    status_t result = NO_ERROR;
+    sinkMetadata->tracks.resize(halTracks.size());
+    for (size_t i = 0; i < sinkMetadata->tracks.size(); ++i) {
+        const auto& halTrackMetadata = halTracks[i];
+        RecordTrackMetadata trackMetadata{};
+        CONVERT_CHECKED(
+                HidlUtils::audioSourceFromHal(halTrackMetadata.source, &trackMetadata.source),
+                result);
+        trackMetadata.gain = halTrackMetadata.gain;
+#if MAJOR_VERSION >= 5
+        if (halTrackMetadata.dest_device != AUDIO_DEVICE_NONE) {
+            DeviceAddress address;
+            if (status_t status =
+                        deviceAddressFromHal(halTrackMetadata.dest_device,
+                                             halTrackMetadata.dest_device_address, &address);
+                status == NO_ERROR) {
+                trackMetadata.destination.device(std::move(address));
+            } else {
+                result = status;
+            }
+        }
+#if MAJOR_VERSION >= 7
+        trackMetadata.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_NONE);
+#endif
+#endif  // MAJOR_VERSION >= 5
+        sinkMetadata->tracks[i] = std::move(trackMetadata);
+    }
+    return result;
+}
+
+status_t CoreUtils::sinkMetadataFromHalV7(const std::vector<record_track_metadata_v7_t>& halTracks,
+                                          bool ignoreNonVendorTags, SinkMetadata* sinkMetadata) {
+    std::vector<record_track_metadata_t> bases;
+    bases.reserve(halTracks.size());
+    std::transform(halTracks.begin(), halTracks.end(), std::back_inserter(bases),
+                   [](const record_track_metadata_v7_t& src) -> record_track_metadata_t {
+                       record_track_metadata_t result;
+                       record_track_metadata_from_v7(&result, &src);
+                       return result;
+                   });
+    status_t result = sinkMetadataFromHal(bases, sinkMetadata);
+#if MAJOR_VERSION >= 7
+    for (size_t i = 0; i < halTracks.size(); ++i) {
+        auto& trackMetadata = sinkMetadata->tracks[i];
+        const auto& halTrackMetadata = halTracks[i];
+        CONVERT_CHECKED(
+                HidlUtils::audioChannelMaskFromHal(halTrackMetadata.channel_mask, true /*isInput*/,
+                                                   &trackMetadata.channelMask),
+                result);
+        std::vector<std::string> strTags = HidlUtils::splitAudioTags(halTrackMetadata.tags);
+        if (ignoreNonVendorTags) {
+            strTags = HidlUtils::filterOutNonVendorTags(strTags);
+        }
+        CONVERT_CHECKED(HidlUtils::audioTagsFromHal(strTags, &trackMetadata.tags), result);
+    }
+#else
+    (void)ignoreNonVendorTags;
+#endif
+    return result;
+}
+
+status_t CoreUtils::sinkMetadataToHal(const SinkMetadata& sinkMetadata,
+                                      std::vector<record_track_metadata_t>* halTracks) {
+    status_t result = NO_ERROR;
+    if (halTracks != nullptr) {
+        halTracks->reserve(sinkMetadata.tracks.size());
+    }
+    for (auto& trackMetadata : sinkMetadata.tracks) {
+        record_track_metadata halTrackMetadata{.gain = trackMetadata.gain};
+        CONVERT_CHECKED(HidlUtils::audioSourceToHal(trackMetadata.source, &halTrackMetadata.source),
+                        result);
+#if MAJOR_VERSION >= 5
+        if (trackMetadata.destination.getDiscriminator() ==
+            RecordTrackMetadata::Destination::hidl_discriminator::device) {
+            CONVERT_CHECKED(deviceAddressToHal(trackMetadata.destination.device(),
+                                               &halTrackMetadata.dest_device,
+                                               halTrackMetadata.dest_device_address),
+                            result);
+        }
+#endif
+        if (halTracks != nullptr) {
+            halTracks->push_back(std::move(halTrackMetadata));
+        }
+    }
+    return result;
+}
+
+status_t CoreUtils::sinkMetadataToHalV7(const SinkMetadata& sinkMetadata, bool ignoreNonVendorTags,
+                                        std::vector<record_track_metadata_v7_t>* halTracks) {
+    std::vector<record_track_metadata> bases;
+    status_t result = sinkMetadataToHal(sinkMetadata, halTracks != nullptr ? &bases : nullptr);
+    if (halTracks != nullptr) {
+        halTracks->reserve(sinkMetadata.tracks.size());
+    }
+    for (size_t i = 0; i < sinkMetadata.tracks.size(); ++i) {
+        record_track_metadata_v7_t halTrackMetadata;
+        if (halTracks != nullptr) {
+            record_track_metadata_to_v7(&halTrackMetadata, &bases[i]);
+        }
+#if MAJOR_VERSION >= 7
+        const auto& trackMetadata = sinkMetadata.tracks[i];
+        CONVERT_CHECKED(HidlUtils::audioChannelMaskToHal(trackMetadata.channelMask,
+                                                         &halTrackMetadata.channel_mask),
+                        result);
+        if (ignoreNonVendorTags) {
+            CONVERT_CHECKED(
+                    HidlUtils::audioTagsToHal(HidlUtils::filterOutNonVendorTags(trackMetadata.tags),
+                                              halTrackMetadata.tags),
+                    result);
+        } else {
+            CONVERT_CHECKED(HidlUtils::audioTagsToHal(trackMetadata.tags, halTrackMetadata.tags),
+                            result);
+        }
+#else
+        (void)ignoreNonVendorTags;
+#endif
+        if (halTracks != nullptr) {
+            halTracks->push_back(std::move(halTrackMetadata));
+        }
+    }
+    return result;
+}
+
+status_t CoreUtils::sourceMetadataFromHal(const std::vector<playback_track_metadata_t>& halTracks,
+                                          SourceMetadata* sourceMetadata) {
+    status_t result = NO_ERROR;
+    sourceMetadata->tracks.resize(halTracks.size());
+    for (size_t i = 0; i < sourceMetadata->tracks.size(); ++i) {
+        const auto& halTrackMetadata = halTracks[i];
+        PlaybackTrackMetadata trackMetadata{};
+        CONVERT_CHECKED(HidlUtils::audioUsageFromHal(halTrackMetadata.usage, &trackMetadata.usage),
+                        result);
+        CONVERT_CHECKED(HidlUtils::audioContentTypeFromHal(halTrackMetadata.content_type,
+                                                           &trackMetadata.contentType),
+                        result);
+        trackMetadata.gain = halTrackMetadata.gain;
+#if MAJOR_VERSION >= 7
+        trackMetadata.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_NONE);
+#endif
+        sourceMetadata->tracks[i] = std::move(trackMetadata);
+    }
+    return result;
+}
+
+status_t CoreUtils::sourceMetadataFromHalV7(
+        const std::vector<playback_track_metadata_v7_t>& halTracks, bool ignoreNonVendorTags,
+        SourceMetadata* sourceMetadata) {
+    std::vector<playback_track_metadata_t> bases;
+    bases.reserve(halTracks.size());
+    std::transform(halTracks.begin(), halTracks.end(), std::back_inserter(bases),
+                   [](const playback_track_metadata_v7_t& src) -> playback_track_metadata_t {
+                       playback_track_metadata_t result;
+                       playback_track_metadata_from_v7(&result, &src);
+                       return result;
+                   });
+    status_t result = sourceMetadataFromHal(bases, sourceMetadata);
+#if MAJOR_VERSION >= 7
+    for (size_t i = 0; i < halTracks.size(); ++i) {
+        auto& trackMetadata = sourceMetadata->tracks[i];
+        const auto& halTrackMetadata = halTracks[i];
+        CONVERT_CHECKED(
+                HidlUtils::audioChannelMaskFromHal(halTrackMetadata.channel_mask, false /*isInput*/,
+                                                   &trackMetadata.channelMask),
+                result);
+        std::vector<std::string> strTags = HidlUtils::splitAudioTags(halTrackMetadata.tags);
+        if (ignoreNonVendorTags) {
+            strTags = HidlUtils::filterOutNonVendorTags(strTags);
+        }
+        CONVERT_CHECKED(HidlUtils::audioTagsFromHal(strTags, &trackMetadata.tags), result);
+    }
+#else
+    (void)ignoreNonVendorTags;
+#endif
+    return result;
+}
+
+status_t CoreUtils::sourceMetadataToHal(const SourceMetadata& sourceMetadata,
+                                        std::vector<playback_track_metadata_t>* halTracks) {
+    status_t result = NO_ERROR;
+    if (halTracks != nullptr) {
+        halTracks->reserve(sourceMetadata.tracks.size());
+    }
+    for (auto& trackMetadata : sourceMetadata.tracks) {
+        playback_track_metadata_t halTrackMetadata{.gain = trackMetadata.gain};
+        CONVERT_CHECKED(HidlUtils::audioUsageToHal(trackMetadata.usage, &halTrackMetadata.usage),
+                        result);
+        CONVERT_CHECKED(HidlUtils::audioContentTypeToHal(trackMetadata.contentType,
+                                                         &halTrackMetadata.content_type),
+                        result);
+        if (halTracks != nullptr) {
+            halTracks->push_back(std::move(halTrackMetadata));
+        }
+    }
+    return result;
+}
+
+status_t CoreUtils::sourceMetadataToHalV7(const SourceMetadata& sourceMetadata,
+                                          bool ignoreNonVendorTags,
+                                          std::vector<playback_track_metadata_v7_t>* halTracks) {
+    std::vector<playback_track_metadata_t> bases;
+    status_t result = sourceMetadataToHal(sourceMetadata, halTracks != nullptr ? &bases : nullptr);
+    if (halTracks != nullptr) {
+        halTracks->reserve(sourceMetadata.tracks.size());
+    }
+    for (size_t i = 0; i < sourceMetadata.tracks.size(); ++i) {
+        playback_track_metadata_v7_t halTrackMetadata;
+        if (halTracks != nullptr) {
+            playback_track_metadata_to_v7(&halTrackMetadata, &bases[i]);
+        }
+#if MAJOR_VERSION >= 7
+        const auto& trackMetadata = sourceMetadata.tracks[i];
+        CONVERT_CHECKED(HidlUtils::audioChannelMaskToHal(trackMetadata.channelMask,
+                                                         &halTrackMetadata.channel_mask),
+                        result);
+        if (ignoreNonVendorTags) {
+            CONVERT_CHECKED(
+                    HidlUtils::audioTagsToHal(HidlUtils::filterOutNonVendorTags(trackMetadata.tags),
+                                              halTrackMetadata.tags),
+                    result);
+        } else {
+            CONVERT_CHECKED(HidlUtils::audioTagsToHal(trackMetadata.tags, halTrackMetadata.tags),
+                            result);
+        }
+#else
+        (void)ignoreNonVendorTags;
+#endif
+        if (halTracks != nullptr) {
+            halTracks->push_back(std::move(halTrackMetadata));
+        }
+    }
+    return result;
+}
+#endif  // MAJOR_VERSION >= 4
+
+#if MAJOR_VERSION >= 7
+namespace xsd {
+using namespace ::android::audio::policy::configuration::V7_0;
+}
+
+status_t CoreUtils::audioInputFlagsFromHal(audio_input_flags_t halFlagMask,
+                                           AudioInputFlags* flags) {
+    status_t status = NO_ERROR;
+    std::vector<AudioInOutFlag> result;
+    for (uint32_t bit = 0; halFlagMask != 0 && bit < sizeof(audio_input_flags_t) * 8; ++bit) {
+        audio_input_flags_t flag = static_cast<audio_input_flags_t>(1u << bit);
+        if ((flag & halFlagMask) == flag) {
+            AudioInOutFlag flagStr = audio_input_flag_to_string(flag);
+            if (!flagStr.empty() && !xsd::isUnknownAudioInOutFlag(flagStr)) {
+                result.push_back(flagStr);
+            } else {
+                ALOGE("Unknown audio input flag value 0x%X", flag);
+                status = BAD_VALUE;
+            }
+            halFlagMask = static_cast<audio_input_flags_t>(halFlagMask & ~flag);
+        }
+    }
+    *flags = result;
+    return status;
+}
+
+status_t CoreUtils::audioInputFlagsToHal(const AudioInputFlags& flags,
+                                         audio_input_flags_t* halFlagMask) {
+    status_t status = NO_ERROR;
+    *halFlagMask = {};
+    for (const auto& flag : flags) {
+        audio_input_flags_t halFlag;
+        if (!xsd::isUnknownAudioInOutFlag(flag) &&
+            audio_input_flag_from_string(flag.c_str(), &halFlag)) {
+            *halFlagMask = static_cast<audio_input_flags_t>(*halFlagMask | halFlag);
+        } else {
+            ALOGE("Unknown audio input flag \"%s\"", flag.c_str());
+            status = BAD_VALUE;
+        }
+    }
+    return status;
+}
+
+status_t CoreUtils::audioOutputFlagsFromHal(audio_output_flags_t halFlagMask,
+                                            AudioOutputFlags* flags) {
+    status_t status = NO_ERROR;
+    std::vector<AudioInOutFlag> result;
+    for (uint32_t bit = 0; halFlagMask != 0 && bit < sizeof(audio_output_flags_t) * 8; ++bit) {
+        audio_output_flags_t flag = static_cast<audio_output_flags_t>(1u << bit);
+        if ((flag & halFlagMask) == flag) {
+            AudioInOutFlag flagStr = audio_output_flag_to_string(flag);
+            if (!flagStr.empty() && !xsd::isUnknownAudioInOutFlag(flagStr)) {
+                result.push_back(flagStr);
+            } else {
+                ALOGE("Unknown audio output flag value 0x%X", flag);
+                status = BAD_VALUE;
+            }
+            halFlagMask = static_cast<audio_output_flags_t>(halFlagMask & ~flag);
+        }
+    }
+    *flags = result;
+    return status;
+}
+
+status_t CoreUtils::audioOutputFlagsToHal(const AudioOutputFlags& flags,
+                                          audio_output_flags_t* halFlagMask) {
+    status_t status = NO_ERROR;
+    *halFlagMask = {};
+    for (const auto& flag : flags) {
+        audio_output_flags_t halFlag;
+        if (!xsd::isUnknownAudioInOutFlag(flag) &&
+            audio_output_flag_from_string(flag.c_str(), &halFlag)) {
+            *halFlagMask = static_cast<audio_output_flags_t>(*halFlagMask | halFlag);
+        } else {
+            ALOGE("Unknown audio output flag \"%s\"", flag.c_str());
+            status = BAD_VALUE;
+        }
+    }
+    return status;
+}
+#endif
+
+}  // namespace implementation
+}  // namespace CPP_VERSION
+}  // namespace audio
+}  // namespace hardware
+}  // namespace android
diff --git a/audio/core/all-versions/default/util/include/util/CoreUtils.h b/audio/core/all-versions/default/util/include/util/CoreUtils.h
new file mode 100644
index 0000000..1e5272a
--- /dev/null
+++ b/audio/core/all-versions/default/util/include/util/CoreUtils.h
@@ -0,0 +1,110 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+// clang-format off
+#include PATH(android/hardware/audio/FILE_VERSION/types.h)
+// clang-format off
+
+#include <vector>
+
+#include <system/audio.h>
+
+#include <common/all-versions/VersionUtils.h>
+#include <VersionUtils.h>
+
+namespace android {
+namespace hardware {
+namespace audio {
+namespace CPP_VERSION {
+namespace implementation {
+
+using ::android::hardware::audio::common::utils::EnumBitfield;
+using ::android::hardware::hidl_vec;
+using namespace ::android::hardware::audio::common::CPP_VERSION;
+using namespace ::android::hardware::audio::CPP_VERSION;
+
+struct CoreUtils {
+    // Note: the converters for DeviceAddress have to be in CoreUtils for HAL V4
+    // because DeviceAddress used to be defined in the core HAL. For V5 and above
+    // these functions simply delegate to HidlUtils.
+    static status_t deviceAddressToHal(const DeviceAddress& device, audio_devices_t* halDeviceType,
+            char* halDeviceAddress);
+    static status_t deviceAddressFromHal(audio_devices_t halDeviceType, const char* halDeviceAddress,
+            DeviceAddress* device);
+#if MAJOR_VERSION >= 4
+    static status_t microphoneInfoFromHal(const struct audio_microphone_characteristic_t& halMicInfo,
+            MicrophoneInfo* micInfo);
+    static status_t microphoneInfoToHal(const MicrophoneInfo& micInfo, audio_microphone_characteristic_t* halMicInfo);
+    // Note: {Sink|Source}Metadata types are defined in 'common' (since V5), so they can be used
+    // by the BT HAL. However, the converters are defined here, not in HidlUtils to avoid adding
+    // conditionals to handle V4. The converters are only used by 'core' HAL anyways.
+    static status_t sinkMetadataFromHal(const std::vector<record_track_metadata_t>& halTracks,
+            SinkMetadata* sinkMetadata);
+    static status_t sinkMetadataFromHalV7(const std::vector<record_track_metadata_v7_t>& halTracks,
+            bool ignoreNonVendorTags, SinkMetadata* sinkMetadata);
+    static status_t sinkMetadataToHal(const SinkMetadata& sinkMetadata,
+            std::vector<record_track_metadata_t>* halTracks);
+    static status_t sinkMetadataToHalV7(const SinkMetadata& sinkMetadata, bool ignoreNonVendorTags,
+            std::vector<record_track_metadata_v7_t>* halTracks);
+    static status_t sourceMetadataFromHal(const std::vector<playback_track_metadata_t>& halTracks,
+            SourceMetadata* sourceMetadata);
+    static status_t sourceMetadataFromHalV7(const std::vector<playback_track_metadata_v7_t>& halTracks,
+            bool ignoreNonVendorTags, SourceMetadata* sourceMetadata);
+    static status_t sourceMetadataToHal(const SourceMetadata& sourceMetadata,
+            std::vector<playback_track_metadata_t>* halTracks);
+    static status_t sourceMetadataToHalV7(const SourceMetadata& sourceMetadata, bool ignoreNonVendorTags,
+            std::vector<playback_track_metadata_v7_t>* halTracks);
+#endif
+
+#if MAJOR_VERSION <= 6
+    using AudioInputFlags =
+            ::android::hardware::audio::common::CPP_VERSION::implementation::AudioInputFlagBitfield;
+    using AudioOutputFlags =
+            ::android::hardware::audio::common::CPP_VERSION::implementation::AudioOutputFlagBitfield;
+    static inline status_t audioInputFlagsFromHal(audio_input_flags_t halFlagMask, AudioInputFlags* flags) {
+        *flags = EnumBitfield<AudioInputFlag>(halFlagMask);
+        return NO_ERROR;
+    }
+    static inline status_t audioInputFlagsToHal(AudioInputFlags flags, audio_input_flags_t* halFlagMask) {
+        *halFlagMask = static_cast<audio_input_flags_t>(flags);
+        return NO_ERROR;
+    }
+    static inline status_t audioOutputFlagsFromHal(audio_output_flags_t halFlagMask, AudioOutputFlags* flags) {
+        *flags = EnumBitfield<AudioOutputFlag>(halFlagMask);
+        return NO_ERROR;
+    }
+    static inline status_t audioOutputFlagsToHal(AudioOutputFlags flags, audio_output_flags_t* halFlagMask) {
+        *halFlagMask = static_cast<audio_output_flags_t>(flags);
+        return NO_ERROR;
+    }
+#else
+    using AudioInputFlags = hidl_vec<::android::hardware::audio::CPP_VERSION::AudioInOutFlag>;
+    using AudioOutputFlags = hidl_vec<::android::hardware::audio::CPP_VERSION::AudioInOutFlag>;
+    static status_t audioInputFlagsFromHal(audio_input_flags_t halFlagMask, AudioInputFlags* flags);
+    static status_t audioInputFlagsToHal(const AudioInputFlags& flags, audio_input_flags_t* halFlagMask);
+    static status_t audioOutputFlagsFromHal(audio_output_flags_t halFlagMask, AudioOutputFlags* flags);
+    static status_t audioOutputFlagsToHal(const AudioOutputFlags& flags, audio_output_flags_t* halFlagMask);
+#endif
+
+};
+
+}  // namespace implementation
+}  // namespace CPP_VERSION
+}  // namespace audio
+}  // namespace hardware
+}  // namespace android
diff --git a/audio/core/all-versions/default/util/tests/coreutils_tests.cpp b/audio/core/all-versions/default/util/tests/coreutils_tests.cpp
new file mode 100644
index 0000000..0c18482
--- /dev/null
+++ b/audio/core/all-versions/default/util/tests/coreutils_tests.cpp
@@ -0,0 +1,525 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <string>
+#include <vector>
+
+#include <gtest/gtest.h>
+
+#define LOG_TAG "CoreUtils_Test"
+#include <log/log.h>
+
+#include <android_audio_policy_configuration_V7_0-enums.h>
+#include <system/audio.h>
+#include <util/CoreUtils.h>
+#include <xsdc/XsdcSupport.h>
+
+using namespace android;
+using namespace ::android::hardware::audio::common::CPP_VERSION;
+using namespace ::android::hardware::audio::CPP_VERSION;
+using ::android::hardware::hidl_vec;
+using ::android::hardware::audio::CPP_VERSION::implementation::CoreUtils;
+namespace xsd {
+using namespace ::android::audio::policy::configuration::V7_0;
+}
+
+static constexpr audio_channel_mask_t kInvalidHalChannelMask = AUDIO_CHANNEL_INVALID;
+static constexpr audio_content_type_t kInvalidHalContentType =
+        static_cast<audio_content_type_t>(0xFFFFFFFFU);
+static constexpr audio_devices_t kInvalidHalDevice = static_cast<audio_devices_t>(0xFFFFFFFFU);
+static constexpr audio_input_flags_t kInvalidInputFlags =
+        static_cast<audio_input_flags_t>(0xFFFFFFFFU);
+static constexpr audio_output_flags_t kInvalidOutputFlags =
+        static_cast<audio_output_flags_t>(0xFFFFFFFFU);
+// AUDIO_SOURCE_INVALID is framework-only.
+static constexpr audio_source_t kInvalidHalSource = static_cast<audio_source_t>(-1);
+static constexpr audio_usage_t kInvalidHalUsage = static_cast<audio_usage_t>(0xFFFFFFFFU);
+
+static bool isInputFlag(xsd::AudioInOutFlag flag) {
+    return toString(flag).find("_INPUT_FLAG_") != std::string::npos;
+}
+
+static bool isOutputFlag(xsd::AudioInOutFlag flag) {
+    return toString(flag).find("_OUTPUT_FLAG_") != std::string::npos;
+}
+
+TEST(CoreUtils, ConvertInvalidInputFlagMask) {
+    CoreUtils::AudioInputFlags invalid;
+    EXPECT_EQ(BAD_VALUE, CoreUtils::audioInputFlagsFromHal(kInvalidInputFlags, &invalid));
+    audio_input_flags_t halInvalid;
+    invalid.resize(1);
+    invalid[0] = "random string";
+    EXPECT_EQ(BAD_VALUE, CoreUtils::audioInputFlagsToHal(invalid, &halInvalid));
+}
+
+TEST(CoreUtils, ConvertInputFlagMask) {
+    CoreUtils::AudioInputFlags emptyInputFlags;
+    audio_input_flags_t halEmptyInputFlags;
+    EXPECT_EQ(NO_ERROR, CoreUtils::audioInputFlagsToHal(emptyInputFlags, &halEmptyInputFlags));
+    EXPECT_EQ(AUDIO_INPUT_FLAG_NONE, halEmptyInputFlags);
+    CoreUtils::AudioInputFlags emptyInputFlagsBack;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::audioInputFlagsFromHal(halEmptyInputFlags, &emptyInputFlagsBack));
+    EXPECT_EQ(emptyInputFlags, emptyInputFlagsBack);
+    CoreUtils::AudioInputFlags emptyInputFlagsFromNone;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::audioInputFlagsFromHal(AUDIO_INPUT_FLAG_NONE, &emptyInputFlagsFromNone));
+    EXPECT_EQ(emptyInputFlags, emptyInputFlagsFromNone);
+
+    std::vector<std::string> allEnumValues;
+    for (const auto enumVal : xsdc_enum_range<xsd::AudioInOutFlag>{}) {
+        if (isInputFlag(enumVal)) {
+            allEnumValues.push_back(toString(enumVal));
+        }
+    }
+    CoreUtils::AudioInputFlags allInputFlags;
+    allInputFlags.resize(allEnumValues.size());
+    for (size_t i = 0; i < allEnumValues.size(); ++i) {
+        allInputFlags[i] = allEnumValues[i];
+    }
+    audio_input_flags_t halAllInputFlags;
+    EXPECT_EQ(NO_ERROR, CoreUtils::audioInputFlagsToHal(allInputFlags, &halAllInputFlags));
+    CoreUtils::AudioInputFlags allInputFlagsBack;
+    EXPECT_EQ(NO_ERROR, CoreUtils::audioInputFlagsFromHal(halAllInputFlags, &allInputFlagsBack));
+    EXPECT_EQ(allInputFlags, allInputFlagsBack);
+}
+
+TEST(CoreUtils, ConvertInvalidOutputFlagMask) {
+    CoreUtils::AudioOutputFlags invalid;
+    EXPECT_EQ(BAD_VALUE, CoreUtils::audioOutputFlagsFromHal(kInvalidOutputFlags, &invalid));
+    audio_output_flags_t halInvalid;
+    invalid.resize(1);
+    invalid[0] = "random string";
+    EXPECT_EQ(BAD_VALUE, CoreUtils::audioOutputFlagsToHal(invalid, &halInvalid));
+}
+
+TEST(CoreUtils, ConvertOutputFlagMask) {
+    CoreUtils::AudioOutputFlags emptyOutputFlags;
+    audio_output_flags_t halEmptyOutputFlags;
+    EXPECT_EQ(NO_ERROR, CoreUtils::audioOutputFlagsToHal(emptyOutputFlags, &halEmptyOutputFlags));
+    EXPECT_EQ(AUDIO_OUTPUT_FLAG_NONE, halEmptyOutputFlags);
+    CoreUtils::AudioOutputFlags emptyOutputFlagsBack;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::audioOutputFlagsFromHal(halEmptyOutputFlags, &emptyOutputFlagsBack));
+    EXPECT_EQ(emptyOutputFlags, emptyOutputFlagsBack);
+    CoreUtils::AudioOutputFlags emptyOutputFlagsFromNone;
+    EXPECT_EQ(NO_ERROR, CoreUtils::audioOutputFlagsFromHal(AUDIO_OUTPUT_FLAG_NONE,
+                                                           &emptyOutputFlagsFromNone));
+    EXPECT_EQ(emptyOutputFlags, emptyOutputFlagsFromNone);
+
+    std::vector<std::string> allEnumValues;
+    for (const auto enumVal : xsdc_enum_range<xsd::AudioInOutFlag>{}) {
+        if (isOutputFlag(enumVal)) {
+            allEnumValues.push_back(toString(enumVal));
+        }
+    }
+    CoreUtils::AudioOutputFlags allOutputFlags;
+    allOutputFlags.resize(allEnumValues.size());
+    for (size_t i = 0; i < allEnumValues.size(); ++i) {
+        allOutputFlags[i] = allEnumValues[i];
+    }
+    audio_output_flags_t halAllOutputFlags;
+    EXPECT_EQ(NO_ERROR, CoreUtils::audioOutputFlagsToHal(allOutputFlags, &halAllOutputFlags));
+    CoreUtils::AudioOutputFlags allOutputFlagsBack;
+    EXPECT_EQ(NO_ERROR, CoreUtils::audioOutputFlagsFromHal(halAllOutputFlags, &allOutputFlagsBack));
+    EXPECT_EQ(allOutputFlags, allOutputFlagsBack);
+}
+
+static MicrophoneInfo generateValidMicrophoneInfo() {
+    MicrophoneInfo micInfo{};
+    micInfo.deviceAddress.deviceType = toString(xsd::AudioDevice::AUDIO_DEVICE_IN_BUILTIN_MIC);
+    micInfo.channelMapping.resize(1);
+    micInfo.channelMapping[0] = AudioMicrophoneChannelMapping::DIRECT;
+    micInfo.location = AudioMicrophoneLocation::MAINBODY_MOVABLE;
+    micInfo.group = 42;
+    micInfo.indexInTheGroup = 13;
+    micInfo.sensitivity = 65.5;
+    micInfo.maxSpl = 100.5;
+    micInfo.minSpl = 36.6;
+    micInfo.directionality = AudioMicrophoneDirectionality::HYPER_CARDIOID;
+    micInfo.frequencyResponse.resize(1);
+    micInfo.frequencyResponse[0].frequency = 1000;
+    micInfo.frequencyResponse[0].level = 85;
+    micInfo.position.x = 0;
+    micInfo.position.y = 1;
+    micInfo.position.z = 0;
+    micInfo.orientation.x = 0;
+    micInfo.orientation.y = 0;
+    micInfo.orientation.z = 1;
+    return micInfo;
+}
+
+TEST(CoreUtils, ConvertInvalidMicrophoneInfo) {
+    MicrophoneInfo invalid;
+    audio_microphone_characteristic_t halInvalid{};
+    halInvalid.device = kInvalidHalDevice;
+    EXPECT_EQ(BAD_VALUE, CoreUtils::microphoneInfoFromHal(halInvalid, &invalid));
+
+    MicrophoneInfo oversizeDeviceId = generateValidMicrophoneInfo();
+    oversizeDeviceId.deviceId = std::string(AUDIO_MICROPHONE_ID_MAX_LEN + 1, 'A');
+    EXPECT_EQ(BAD_VALUE, CoreUtils::microphoneInfoToHal(oversizeDeviceId, &halInvalid));
+    MicrophoneInfo invalidDeviceType = generateValidMicrophoneInfo();
+    invalidDeviceType.deviceAddress.deviceType = "random string";
+    EXPECT_EQ(BAD_VALUE, CoreUtils::microphoneInfoToHal(invalidDeviceType, &halInvalid));
+    MicrophoneInfo oversizeChannelMapping = generateValidMicrophoneInfo();
+    oversizeChannelMapping.channelMapping.resize(AUDIO_CHANNEL_COUNT_MAX + 1);
+    EXPECT_EQ(BAD_VALUE, CoreUtils::microphoneInfoToHal(oversizeChannelMapping, &halInvalid));
+    MicrophoneInfo oversizeFrequencyResponses = generateValidMicrophoneInfo();
+    oversizeFrequencyResponses.frequencyResponse.resize(AUDIO_MICROPHONE_MAX_FREQUENCY_RESPONSES +
+                                                        1);
+    EXPECT_EQ(BAD_VALUE, CoreUtils::microphoneInfoToHal(oversizeFrequencyResponses, &halInvalid));
+}
+
+TEST(CoreUtils, ConvertMicrophoneInfo) {
+    MicrophoneInfo micInfo = generateValidMicrophoneInfo();
+    audio_microphone_characteristic_t halMicInfo;
+    EXPECT_EQ(NO_ERROR, CoreUtils::microphoneInfoToHal(micInfo, &halMicInfo));
+    MicrophoneInfo micInfoBack;
+    EXPECT_EQ(NO_ERROR, CoreUtils::microphoneInfoFromHal(halMicInfo, &micInfoBack));
+    EXPECT_EQ(micInfo, micInfoBack);
+}
+
+static RecordTrackMetadata generateMinimalRecordTrackMetadata() {
+    RecordTrackMetadata metadata{};
+    metadata.source = toString(xsd::AudioSource::AUDIO_SOURCE_DEFAULT);
+    metadata.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_NONE);
+    return metadata;
+}
+
+static RecordTrackMetadata generateValidRecordTrackMetadata() {
+    RecordTrackMetadata metadata = generateMinimalRecordTrackMetadata();
+    metadata.tags.resize(1);
+    metadata.tags[0] = "VX_GOOGLE_42";
+    metadata.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_IN_MONO);
+    metadata.gain = 1.0;
+    return metadata;
+}
+
+static RecordTrackMetadata generateValidRecordTrackMetadataWithDevice() {
+    RecordTrackMetadata metadata = generateValidRecordTrackMetadata();
+    metadata.destination.device({});
+    metadata.destination.device().deviceType = toString(xsd::AudioDevice::AUDIO_DEVICE_OUT_SPEAKER);
+    return metadata;
+}
+
+using SinkTracks = hidl_vec<RecordTrackMetadata>;
+
+TEST(CoreUtils, ConvertInvalidSinkMetadata) {
+    SinkMetadata invalidSource;
+    invalidSource.tracks = SinkTracks{generateMinimalRecordTrackMetadata()};
+    invalidSource.tracks[0].source = "random string";
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataToHal(invalidSource, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataToHalV7(invalidSource,
+                                                        false /*ignoreNonVendorTags*/, nullptr));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sinkMetadataToHalV7(invalidSource, true /*ignoreNonVendorTags*/, nullptr));
+    SinkMetadata invalidDeviceType;
+    invalidDeviceType.tracks = SinkTracks{generateValidRecordTrackMetadataWithDevice()};
+    invalidDeviceType.tracks[0].destination.device().deviceType = "random string";
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataToHal(invalidDeviceType, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataToHalV7(invalidDeviceType,
+                                                        false /*ignoreNonVendorTags*/, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataToHalV7(invalidDeviceType,
+                                                        true /*ignoreNonVendorTags*/, nullptr));
+    SinkMetadata invalidChannelMask;
+    invalidChannelMask.tracks = SinkTracks{generateValidRecordTrackMetadata()};
+    invalidChannelMask.tracks[0].channelMask = "random string";
+    // Channel mask is sliced away by 'sinkMetadataToHal'
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataToHal(invalidChannelMask, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataToHalV7(invalidChannelMask,
+                                                        false /*ignoreNonVendorTags*/, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataToHalV7(invalidChannelMask,
+                                                        true /*ignoreNonVendorTags*/, nullptr));
+    SinkMetadata invalidTags;
+    invalidTags.tracks = SinkTracks{generateValidRecordTrackMetadata()};
+    invalidTags.tracks[0].tags[0] = "random string";
+    // Tags are sliced away by 'sinkMetadataToHal'
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataToHal(invalidTags, nullptr));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sinkMetadataToHalV7(invalidTags, false /*ignoreNonVendorTags*/, nullptr));
+    // Non-vendor tags should be filtered out.
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sinkMetadataToHalV7(invalidTags, true /*ignoreNonVendorTags*/, nullptr));
+
+    // Verify that a default-initialized metadata is valid.
+    std::vector<record_track_metadata_t> halValid(1, record_track_metadata_t{});
+    std::vector<record_track_metadata_v7_t> halValidV7(1, record_track_metadata_v7_t{});
+    SinkMetadata valid;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataFromHal(halValid, &valid));
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sinkMetadataFromHalV7(halValidV7, false /*ignoreNonVendorTags*/, &valid));
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sinkMetadataFromHalV7(halValidV7, true /*ignoreNonVendorTags*/, &valid));
+
+    std::vector<record_track_metadata_t> halInvalidSource = {{.source = kInvalidHalSource}};
+    std::vector<record_track_metadata_v7_t> halInvalidSourceV7 = {
+            {.base = {.source = kInvalidHalSource}}};
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataFromHal(halInvalidSource, &invalidSource));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sinkMetadataFromHalV7(halInvalidSourceV7, false /*ignoreNonVendorTags*/,
+                                               &invalidSource));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataFromHalV7(
+                                 halInvalidSourceV7, true /*ignoreNonVendorTags*/, &invalidSource));
+    std::vector<record_track_metadata_t> halInvalidDeviceType = {
+            {.dest_device = kInvalidHalDevice}};
+    std::vector<record_track_metadata_v7_t> halInvalidDeviceTypeV7 = {
+            {.base = {.dest_device = kInvalidHalDevice}}};
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataFromHal(halInvalidDeviceType, &invalidDeviceType));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sinkMetadataFromHalV7(halInvalidDeviceTypeV7,
+                                               false /*ignoreNonVendorTags*/, &invalidDeviceType));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sinkMetadataFromHalV7(halInvalidDeviceTypeV7, true /*ignoreNonVendorTags*/,
+                                               &invalidDeviceType));
+    std::vector<record_track_metadata_v7_t> halInvalidChannelMaskV7 = {
+            {.channel_mask = kInvalidHalChannelMask}};
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sinkMetadataFromHalV7(halInvalidChannelMaskV7,
+                                               false /*ignoreNonVendorTags*/, &invalidChannelMask));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sinkMetadataFromHalV7(halInvalidChannelMaskV7,
+                                               true /*ignoreNonVendorTags*/, &invalidChannelMask));
+    std::vector<record_track_metadata_v7_t> halInvalidTagsV7 = {{.tags = "random string"}};
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sinkMetadataFromHalV7(
+                                 halInvalidTagsV7, false /*ignoreNonVendorTags*/, &invalidTags));
+    // Non-vendor tags should be filtered out.
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataFromHalV7(
+                                halInvalidTagsV7, true /*ignoreNonVendorTags*/, &invalidTags));
+}
+
+TEST(CoreUtils, ConvertEmptySinkMetadata) {
+    SinkMetadata emptySinkMetadata;
+    std::vector<record_track_metadata_t> halEmptySinkMetadata;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataToHal(emptySinkMetadata, &halEmptySinkMetadata));
+    EXPECT_TRUE(halEmptySinkMetadata.empty());
+    SinkMetadata emptySinkMetadataBack;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sinkMetadataFromHal(halEmptySinkMetadata, &emptySinkMetadataBack));
+    EXPECT_EQ(emptySinkMetadata, emptySinkMetadataBack);
+    std::vector<record_track_metadata_v7_t> halEmptySinkMetadataV7;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sinkMetadataToHalV7(emptySinkMetadata, false /*ignoreNonVendorTags*/,
+                                             &halEmptySinkMetadataV7));
+    EXPECT_TRUE(halEmptySinkMetadataV7.empty());
+    SinkMetadata emptySinkMetadataBackFromV7;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataFromHalV7(halEmptySinkMetadataV7,
+                                                         false /*ignoreNonVendorTags*/,
+                                                         &emptySinkMetadataBackFromV7));
+    EXPECT_EQ(emptySinkMetadata, emptySinkMetadataBackFromV7);
+}
+
+class SinkMetadataConvertTest : public ::testing::TestWithParam<SinkTracks> {};
+
+TEST_P(SinkMetadataConvertTest, ToFromHal) {
+    SinkMetadata sinkMetadata;
+    sinkMetadata.tracks = GetParam();
+    std::vector<record_track_metadata_t> halSinkMetadata;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataToHal(sinkMetadata, &halSinkMetadata));
+    EXPECT_EQ(sinkMetadata.tracks.size(), halSinkMetadata.size());
+    SinkMetadata sinkMetadataBackTrimmed;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataFromHal(halSinkMetadata, &sinkMetadataBackTrimmed));
+    // Can't compare 'sinkMetadata' to 'sinkMetadataBackTrimmed'
+    std::vector<record_track_metadata_v7_t> halSinkMetadataV7;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataToHalV7(sinkMetadata, false /*ignoreNonVendorTags*/,
+                                                       &halSinkMetadataV7));
+    EXPECT_EQ(sinkMetadata.tracks.size(), halSinkMetadataV7.size());
+    SinkMetadata sinkMetadataBackFromV7;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sinkMetadataFromHalV7(halSinkMetadataV7, false /*ignoreNonVendorTags*/,
+                                               &sinkMetadataBackFromV7));
+    EXPECT_EQ(sinkMetadata, sinkMetadataBackFromV7);
+    std::vector<record_track_metadata_v7_t> halSinkMetadataV7FromTrimmed;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sinkMetadataToHalV7(sinkMetadataBackTrimmed, false /*ignoreNonVendorTags*/,
+                                             &halSinkMetadataV7FromTrimmed));
+    EXPECT_EQ(sinkMetadata.tracks.size(), halSinkMetadataV7FromTrimmed.size());
+    SinkMetadata sinkMetadataBackFromV7Trimmed;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sinkMetadataFromHalV7(halSinkMetadataV7FromTrimmed,
+                                                         false /*ignoreNonVendorTags*/,
+                                                         &sinkMetadataBackFromV7Trimmed));
+    EXPECT_EQ(sinkMetadataBackTrimmed, sinkMetadataBackFromV7Trimmed);
+}
+
+INSTANTIATE_TEST_SUITE_P(ValidRecordTrackMetadatas, SinkMetadataConvertTest,
+                         ::testing::Values(SinkTracks{generateMinimalRecordTrackMetadata()},
+                                           SinkTracks{generateValidRecordTrackMetadata()},
+                                           SinkTracks{generateValidRecordTrackMetadataWithDevice()},
+                                           SinkTracks{
+                                                   generateMinimalRecordTrackMetadata(),
+                                                   generateValidRecordTrackMetadata(),
+                                                   generateValidRecordTrackMetadataWithDevice()}));
+
+static PlaybackTrackMetadata generateMinimalPlaybackTrackMetadata() {
+    PlaybackTrackMetadata metadata{};
+    metadata.usage = toString(xsd::AudioUsage::AUDIO_USAGE_UNKNOWN);
+    metadata.contentType = toString(xsd::AudioContentType::AUDIO_CONTENT_TYPE_UNKNOWN);
+    metadata.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_NONE);
+    return metadata;
+}
+
+static PlaybackTrackMetadata generateValidPlaybackTrackMetadata() {
+    PlaybackTrackMetadata metadata = generateMinimalPlaybackTrackMetadata();
+    metadata.tags.resize(1);
+    metadata.tags[0] = "VX_GOOGLE_42";
+    metadata.channelMask = toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_MONO);
+    metadata.gain = 1.0;
+    return metadata;
+}
+
+using SourceTracks = hidl_vec<PlaybackTrackMetadata>;
+
+TEST(CoreUtils, ConvertInvalidSourceMetadata) {
+    SourceMetadata invalidUsage;
+    invalidUsage.tracks = SourceTracks{generateMinimalPlaybackTrackMetadata()};
+    invalidUsage.tracks[0].usage = "random string";
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHal(invalidUsage, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHalV7(invalidUsage,
+                                                          false /*ignoreNonVendorTags*/, nullptr));
+    SourceMetadata invalidContentType;
+    invalidContentType.tracks = SourceTracks{generateMinimalPlaybackTrackMetadata()};
+    invalidContentType.tracks[0].contentType = "random string";
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHal(invalidContentType, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHalV7(invalidContentType,
+                                                          false /*ignoreNonVendorTags*/, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHalV7(invalidContentType,
+                                                          true /*ignoreNonVendorTags*/, nullptr));
+    SourceMetadata invalidChannelMask;
+    invalidChannelMask.tracks = SourceTracks{generateValidPlaybackTrackMetadata()};
+    invalidChannelMask.tracks[0].channelMask = "random string";
+    // Channel mask is sliced away by 'sourceMetadataToHal'
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataToHal(invalidChannelMask, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHalV7(invalidChannelMask,
+                                                          false /*ignoreNonVendorTags*/, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHalV7(invalidChannelMask,
+                                                          true /*ignoreNonVendorTags*/, nullptr));
+    SourceMetadata invalidTags;
+    invalidTags.tracks = SourceTracks{generateValidPlaybackTrackMetadata()};
+    invalidTags.tracks[0].tags[0] = "random string";
+    // Tags are sliced away by 'sourceMetadataToHal'
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataToHal(invalidTags, nullptr));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataToHalV7(invalidTags,
+                                                          false /*ignoreNonVendorTags*/, nullptr));
+    // Non-vendor tags should be filtered out.
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataToHalV7(invalidTags, true /*ignoreNonVendorTags*/, nullptr));
+
+    // Verify that a default-initialized metadata is valid.
+    std::vector<playback_track_metadata_t> halValid(1, playback_track_metadata_t{});
+    std::vector<playback_track_metadata_v7_t> halValidV7(1, playback_track_metadata_v7_t{});
+    SourceMetadata valid;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataFromHal(halValid, &valid));
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataFromHalV7(halValidV7,
+                                                           false /*ignoreNonVendorTags*/, &valid));
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataFromHalV7(halValidV7, true /*ignoreNonVendorTags*/, &valid));
+
+    std::vector<playback_track_metadata_t> halInvalidUsage = {{.usage = kInvalidHalUsage}};
+    std::vector<playback_track_metadata_v7_t> halInvalidUsageV7 = {
+            {.base = {.usage = kInvalidHalUsage}}};
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataFromHal(halInvalidUsage, &invalidUsage));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataFromHalV7(
+                                 halInvalidUsageV7, false /*ignoreNonVendorTags*/, &invalidUsage));
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataFromHalV7(
+                                 halInvalidUsageV7, true /*ignoreNonVendorTags*/, &invalidUsage));
+    std::vector<playback_track_metadata_t> halInvalidContentType = {
+            {.content_type = kInvalidHalContentType}};
+    std::vector<playback_track_metadata_v7_t> halInvalidContentTypeV7 = {
+            {.base = {.content_type = kInvalidHalContentType}}};
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sourceMetadataFromHal(halInvalidContentType, &invalidContentType));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sourceMetadataFromHalV7(
+                      halInvalidContentTypeV7, false /*ignoreNonVendorTags*/, &invalidContentType));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sourceMetadataFromHalV7(
+                      halInvalidContentTypeV7, true /*ignoreNonVendorTags*/, &invalidContentType));
+    std::vector<playback_track_metadata_v7_t> halInvalidChannelMaskV7 = {
+            {.channel_mask = kInvalidHalChannelMask}};
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sourceMetadataFromHalV7(
+                      halInvalidChannelMaskV7, false /*ignoreNonVendorTags*/, &invalidChannelMask));
+    EXPECT_EQ(BAD_VALUE,
+              CoreUtils::sourceMetadataFromHalV7(
+                      halInvalidChannelMaskV7, true /*ignoreNonVendorTags*/, &invalidChannelMask));
+    std::vector<playback_track_metadata_v7_t> halInvalidTagsV7 = {{.tags = "random string"}};
+    EXPECT_EQ(BAD_VALUE, CoreUtils::sourceMetadataFromHalV7(
+                                 halInvalidTagsV7, false /*ignoreNonVendorTags*/, &invalidTags));
+    // Non-vendor tags should be filtered out.
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataFromHalV7(
+                                halInvalidTagsV7, true /*ignoreNonVendorTags*/, &invalidTags));
+}
+
+TEST(CoreUtils, ConvertEmptySourceMetadata) {
+    SourceMetadata emptySourceMetadata;
+    std::vector<playback_track_metadata_t> halEmptySourceMetadata;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataToHal(emptySourceMetadata, &halEmptySourceMetadata));
+    EXPECT_TRUE(halEmptySourceMetadata.empty());
+    SourceMetadata emptySourceMetadataBack;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataFromHal(halEmptySourceMetadata, &emptySourceMetadataBack));
+    EXPECT_EQ(emptySourceMetadata, emptySourceMetadataBack);
+    std::vector<playback_track_metadata_v7_t> halEmptySourceMetadataV7;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataToHalV7(emptySourceMetadata, false /*ignoreNonVendorTags*/,
+                                               &halEmptySourceMetadataV7));
+    EXPECT_TRUE(halEmptySourceMetadataV7.empty());
+    SourceMetadata emptySourceMetadataBackFromV7;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataFromHalV7(halEmptySourceMetadataV7,
+                                                           false /*ignoreNonVendorTags*/,
+                                                           &emptySourceMetadataBackFromV7));
+    EXPECT_EQ(emptySourceMetadata, emptySourceMetadataBackFromV7);
+}
+
+class SourceMetadataConvertTest : public ::testing::TestWithParam<SourceTracks> {};
+
+TEST_P(SourceMetadataConvertTest, ToFromHal) {
+    SourceMetadata sourceMetadata;
+    sourceMetadata.tracks = GetParam();
+    std::vector<playback_track_metadata_t> halSourceMetadata;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataToHal(sourceMetadata, &halSourceMetadata));
+    EXPECT_EQ(sourceMetadata.tracks.size(), halSourceMetadata.size());
+    SourceMetadata sourceMetadataBackTrimmed;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataFromHal(halSourceMetadata, &sourceMetadataBackTrimmed));
+    // Can't compare 'sourceMetadata' to 'sourceMetadataBackTrimmed'
+    std::vector<playback_track_metadata_v7_t> halSourceMetadataV7;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataToHalV7(sourceMetadata, false /*ignoreNonVendorTags*/,
+                                               &halSourceMetadataV7));
+    EXPECT_EQ(sourceMetadata.tracks.size(), halSourceMetadataV7.size());
+    SourceMetadata sourceMetadataBackFromV7;
+    EXPECT_EQ(NO_ERROR,
+              CoreUtils::sourceMetadataFromHalV7(halSourceMetadataV7, false /*ignoreNonVendorTags*/,
+                                                 &sourceMetadataBackFromV7));
+    EXPECT_EQ(sourceMetadata, sourceMetadataBackFromV7);
+    std::vector<playback_track_metadata_v7_t> halSourceMetadataV7FromTrimmed;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataToHalV7(sourceMetadataBackTrimmed,
+                                                         false /*ignoreNonVendorTags*/,
+                                                         &halSourceMetadataV7FromTrimmed));
+    EXPECT_EQ(sourceMetadata.tracks.size(), halSourceMetadataV7FromTrimmed.size());
+    SourceMetadata sourceMetadataBackFromV7Trimmed;
+    EXPECT_EQ(NO_ERROR, CoreUtils::sourceMetadataFromHalV7(halSourceMetadataV7FromTrimmed,
+                                                           false /*ignoreNonVendorTags*/,
+                                                           &sourceMetadataBackFromV7Trimmed));
+    EXPECT_EQ(sourceMetadataBackTrimmed, sourceMetadataBackFromV7Trimmed);
+}
+
+INSTANTIATE_TEST_SUITE_P(ValidPlaybackTrackMetadatas, SourceMetadataConvertTest,
+                         ::testing::Values(SourceTracks{generateMinimalPlaybackTrackMetadata()},
+                                           SourceTracks{generateValidPlaybackTrackMetadata()},
+                                           SourceTracks{generateMinimalPlaybackTrackMetadata(),
+                                                        generateValidPlaybackTrackMetadata()}));
diff --git a/audio/core/all-versions/vts/functional/4.0/AudioPrimaryHidlHalTest.cpp b/audio/core/all-versions/vts/functional/4.0/AudioPrimaryHidlHalTest.cpp
index 5076dcf..bb7c6d3 100644
--- a/audio/core/all-versions/vts/functional/4.0/AudioPrimaryHidlHalTest.cpp
+++ b/audio/core/all-versions/vts/functional/4.0/AudioPrimaryHidlHalTest.cpp
@@ -336,24 +336,24 @@
     ASSERT_RESULT(okOrNotSupported, stream->updateSourceMetadata(
         {{{toString(xsd::AudioUsage::AUDIO_USAGE_MEDIA),
                       toString(xsd::AudioContentType::AUDIO_CONTENT_TYPE_MUSIC),
-                      {},
+                      0.1, // gain
                       toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO),
-                      0.1},
+                      {}}, // tags
           {toString(xsd::AudioUsage::AUDIO_USAGE_VOICE_COMMUNICATION),
                       toString(xsd::AudioContentType::AUDIO_CONTENT_TYPE_SPEECH),
-                      {}, // tags
+                      1.0,
                       toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_MONO),
-                      1.0},
+                      {}},
           {toString(xsd::AudioUsage::AUDIO_USAGE_ALARM),
                       toString(xsd::AudioContentType::AUDIO_CONTENT_TYPE_SONIFICATION),
-                      {}, // tags
+                      0.0,
                       toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO),
-                      0.0},
+                      {}},
           {toString(xsd::AudioUsage::AUDIO_USAGE_ASSISTANT),
                       toString(xsd::AudioContentType::AUDIO_CONTENT_TYPE_UNKNOWN),
-                      {},
+                      0.3,
                       toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_MONO),
-                      0.3}}}
+                      {}}}}
     ));
     // clang-format on
     // Set no metadata as if all stream track had stopped
diff --git a/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp b/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp
index 7fca610..be1ffbb 100644
--- a/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp
+++ b/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp
@@ -367,10 +367,10 @@
     static std::vector<AudioPortConfig> invalids = [&] {
         std::vector<AudioPortConfig> result;
         AudioPortConfig invalidBaseChannelMask = valids[PORT_CONF_MINIMAL];
-        invalidBaseChannelMask.base.channelMask = "random_string";
+        invalidBaseChannelMask.base.channelMask.value("random_string");
         result.push_back(std::move(invalidBaseChannelMask));
         AudioPortConfig invalidBaseFormat = valids[PORT_CONF_MINIMAL];
-        invalidBaseFormat.base.format = "random_string";
+        invalidBaseFormat.base.format.value("random_string");
         result.push_back(std::move(invalidBaseFormat));
         AudioPortConfig invalidGainMode = valids[PORT_CONF_WITH_GAIN];
         invalidGainMode.gain.config().mode = {{"random_string"}};
@@ -724,19 +724,19 @@
         areAudioPatchesSupported() ? doc::partialTest("Audio patches are supported")
                                    : testSetDevicesInvalidDeviceAddress(stream.get()));
 
-static void testSetAudioPropertiesInvalidArguments(IStream* stream, const AudioConfigBase& base) {
-    AudioConfigBase invalidFormat = base;
-    invalidFormat.format = "random_string";
+static void testSetAudioPropertiesInvalidArguments(IStream* stream) {
+    AudioConfigBaseOptional invalidFormat;
+    invalidFormat.format.value("random_string");
     ASSERT_RESULT(invalidArgsOrNotSupported, stream->setAudioProperties(invalidFormat));
 
-    AudioConfigBase invalidChannelMask = base;
-    invalidChannelMask.channelMask = "random_string";
+    AudioConfigBaseOptional invalidChannelMask;
+    invalidChannelMask.channelMask.value("random_string");
     ASSERT_RESULT(invalidArgsOrNotSupported, stream->setAudioProperties(invalidChannelMask));
 }
 TEST_SINGLE_CONFIG_IO_STREAM(
         SetAudioPropertiesInvalidArguments,
         "Verify that invalid arguments are rejected by IStream::setAudioProperties",
-        testSetAudioPropertiesInvalidArguments(stream.get(), audioConfig.base));
+        testSetAudioPropertiesInvalidArguments(stream.get()));
 
 TEST_P(SingleConfigOutputStreamTest, UpdateInvalidSourceMetadata) {
     doc::test("Verify that invalid metadata is rejected by IStreamOut::updateSourceMetadata");
diff --git a/audio/core/all-versions/vts/functional/Android.bp b/audio/core/all-versions/vts/functional/Android.bp
index a809a92..e8b704c 100644
--- a/audio/core/all-versions/vts/functional/Android.bp
+++ b/audio/core/all-versions/vts/functional/Android.bp
@@ -19,13 +19,13 @@
     defaults: ["VtsHalTargetTestDefaults"],
     static_libs: [
         "android.hardware.audio.common.test.utility",
-        "libxml2",
+        "audioclient-types-aidl-cpp",
+        "libaudioclient_aidl_conversion",
     ],
     shared_libs: [
-        "audioclient-types-aidl-unstable-cpp",
-        "libaudioclient_aidl_conversion",
         "libbinder",
         "libfmq",
+        "libxml2",
     ],
     header_libs: [
         "android.hardware.audio.common.util@all-versions",
diff --git a/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h b/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h
index f145b60..61e99e8 100644
--- a/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h
+++ b/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h
@@ -928,9 +928,9 @@
     const SourceMetadata initMetadata = {
             { { toString(xsd::AudioUsage::AUDIO_USAGE_MEDIA),
                 toString(xsd::AudioContentType::AUDIO_CONTENT_TYPE_MUSIC),
-                {},
+                1 /* gain */,
                 toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO),
-                1 /* gain */ } }};
+                {} } }};
 #endif
 };
 TEST_P(OutputStreamTest, OpenOutputStreamTest) {
@@ -1155,13 +1155,14 @@
     for (const auto& profile : profiles) {
         for (const auto& sampleRate : profile.sampleRates) {
             for (const auto& channelMask : profile.channelMasks) {
-                AudioConfigBase config{.format = profile.format,
-                                       .sampleRateHz = sampleRate,
-                                       .channelMask = {{channelMask}}};
+                AudioConfigBaseOptional config;
+                config.format.value(profile.format);
+                config.sampleRateHz.value(sampleRate);
+                config.channelMask.value(channelMask);
                 auto ret = stream->setAudioProperties(config);
                 EXPECT_TRUE(ret.isOk());
-                EXPECT_EQ(Result::OK, ret) << config.format << "; " << config.sampleRateHz << "; "
-                                           << toString(config.channelMask);
+                EXPECT_EQ(Result::OK, ret)
+                        << profile.format << "; " << sampleRate << "; " << channelMask;
             }
         }
     }
@@ -1169,7 +1170,7 @@
 
 TEST_IO_STREAM(SetAudioProperties, "Call setAudioProperties for all supported profiles",
                testSetAudioProperties(stream.get()))
-#endif
+#endif  // MAJOR_VERSION <= 6
 
 static void testGetAudioProperties(IStream* stream, AudioConfig expectedConfig) {
 #if MAJOR_VERSION <= 6
diff --git a/audio/effect/7.0/types.hal b/audio/effect/7.0/types.hal
index c4cb213..bb2d7b3 100644
--- a/audio/effect/7.0/types.hal
+++ b/audio/effect/7.0/types.hal
@@ -17,6 +17,7 @@
 package android.hardware.audio.effect@7.0;
 
 import android.hardware.audio.common@7.0;
+import android.hidl.safe_union@1.0;
 
 enum Result : int32_t {
     OK,
@@ -248,32 +249,19 @@
 };
 
 /**
- * Determines what fields of EffectBufferConfig need to be considered.
- */
-@export(name="", value_prefix="EFFECT_CONFIG_")
-enum EffectConfigParameters : int32_t {
-    /** Buffer field. */
-    BUFFER = 0x0001,
-    /** Sampling rate. */
-    SMP_RATE = 0x0002,
-    /** Channels. */
-    CHANNELS = 0x0004,
-    /** Format. */
-    FORMAT = 0x0008,
-    /** Access mode. */
-    ACC_MODE = 0x0010,
-    // Note that the 2.0 ALL have been moved to an helper function
-};
-
-/**
  * The buffer config structure specifies the input or output audio format
  * to be used by the effect engine.
  */
 struct EffectBufferConfig {
-    AudioBuffer buffer;
-    AudioConfigBase base;
-    EffectBufferAccess accessMode;
-    bitfield<EffectConfigParameters> mask;
+    safe_union OptionalBuffer {
+        Monostate unspecified;
+        AudioBuffer buf;
+    } buffer;
+    AudioConfigBaseOptional base;
+    safe_union OptionalAccessMode {
+        Monostate unspecified;
+        EffectBufferAccess value;
+    } accessMode;
 };
 
 struct EffectConfig {
diff --git a/audio/effect/all-versions/default/Android.bp b/audio/effect/all-versions/default/Android.bp
index a0cd612..99b1120 100644
--- a/audio/effect/all-versions/default/Android.bp
+++ b/audio/effect/all-versions/default/Android.bp
@@ -8,7 +8,6 @@
         "AudioBufferManager.cpp",
         "AutomaticGainControlEffect.cpp",
         "BassBoostEffect.cpp",
-        "Conversions.cpp",
         "DownmixEffect.cpp",
         "Effect.cpp",
         "EffectsFactory.cpp",
@@ -51,6 +50,7 @@
         "android.hardware.audio.common@2.0",
         "android.hardware.audio.common@2.0-util",
         "android.hardware.audio.effect@2.0",
+        "android.hardware.audio.effect@2.0-util",
     ],
     cflags: [
         "-DMAJOR_VERSION=2",
@@ -66,6 +66,7 @@
         "android.hardware.audio.common@4.0",
         "android.hardware.audio.common@4.0-util",
         "android.hardware.audio.effect@4.0",
+        "android.hardware.audio.effect@4.0-util",
     ],
     cflags: [
         "-DMAJOR_VERSION=4",
@@ -81,6 +82,7 @@
         "android.hardware.audio.common@5.0",
         "android.hardware.audio.common@5.0-util",
         "android.hardware.audio.effect@5.0",
+        "android.hardware.audio.effect@5.0-util",
     ],
     cflags: [
         "-DMAJOR_VERSION=5",
@@ -96,6 +98,7 @@
         "android.hardware.audio.common@6.0",
         "android.hardware.audio.common@6.0-util",
         "android.hardware.audio.effect@6.0",
+        "android.hardware.audio.effect@6.0-util",
     ],
     cflags: [
         "-DMAJOR_VERSION=6",
@@ -111,6 +114,7 @@
         "android.hardware.audio.common@7.0",
         "android.hardware.audio.common@7.0-util",
         "android.hardware.audio.effect@7.0",
+        "android.hardware.audio.effect@7.0-util",
     ],
     cflags: [
         "-DMAJOR_VERSION=7",
diff --git a/audio/effect/all-versions/default/Conversions.cpp b/audio/effect/all-versions/default/Conversions.cpp
deleted file mode 100644
index 0cc8767..0000000
--- a/audio/effect/all-versions/default/Conversions.cpp
+++ /dev/null
@@ -1,61 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include "Conversions.h"
-#include "UuidUtils.h"
-
-#include <memory.h>
-#include <stdio.h>
-
-#include <common/all-versions/VersionUtils.h>
-
-using ::android::hardware::audio::common::utils::EnumBitfield;
-
-namespace android {
-namespace hardware {
-namespace audio {
-namespace effect {
-namespace CPP_VERSION {
-namespace implementation {
-
-using ::android::hardware::audio::common::CPP_VERSION::implementation::UuidUtils;
-
-void effectDescriptorFromHal(const effect_descriptor_t& halDescriptor,
-                             EffectDescriptor* descriptor) {
-    UuidUtils::uuidFromHal(halDescriptor.type, &descriptor->type);
-    UuidUtils::uuidFromHal(halDescriptor.uuid, &descriptor->uuid);
-    descriptor->flags = EnumBitfield<EffectFlags>(halDescriptor.flags);
-    descriptor->cpuLoad = halDescriptor.cpuLoad;
-    descriptor->memoryUsage = halDescriptor.memoryUsage;
-    memcpy(descriptor->name.data(), halDescriptor.name, descriptor->name.size());
-    memcpy(descriptor->implementor.data(), halDescriptor.implementor,
-           descriptor->implementor.size());
-}
-
-std::string uuidToString(const effect_uuid_t& halUuid) {
-    char str[64];
-    snprintf(str, sizeof(str), "%08x-%04x-%04x-%04x-%02x%02x%02x%02x%02x%02x", halUuid.timeLow,
-             halUuid.timeMid, halUuid.timeHiAndVersion, halUuid.clockSeq, halUuid.node[0],
-             halUuid.node[1], halUuid.node[2], halUuid.node[3], halUuid.node[4], halUuid.node[5]);
-    return str;
-}
-
-}  // namespace implementation
-}  // namespace CPP_VERSION
-}  // namespace effect
-}  // namespace audio
-}  // namespace hardware
-}  // namespace android
diff --git a/audio/effect/all-versions/default/Conversions.h b/audio/effect/all-versions/default/Conversions.h
deleted file mode 100644
index 75aab24..0000000
--- a/audio/effect/all-versions/default/Conversions.h
+++ /dev/null
@@ -1,46 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef ANDROID_HARDWARE_AUDIO_EFFECT_CONVERSIONS_H_
-#define ANDROID_HARDWARE_AUDIO_EFFECT_CONVERSIONS_H_
-
-#include PATH(android/hardware/audio/effect/FILE_VERSION/types.h)
-
-#include <string>
-
-#include <system/audio_effect.h>
-
-namespace android {
-namespace hardware {
-namespace audio {
-namespace effect {
-namespace CPP_VERSION {
-namespace implementation {
-
-using ::android::hardware::audio::effect::CPP_VERSION::EffectDescriptor;
-
-void effectDescriptorFromHal(const effect_descriptor_t& halDescriptor,
-                             EffectDescriptor* descriptor);
-std::string uuidToString(const effect_uuid_t& halUuid);
-
-}  // namespace implementation
-}  // namespace CPP_VERSION
-}  // namespace effect
-}  // namespace audio
-}  // namespace hardware
-}  // namespace android
-
-#endif  // ANDROID_HARDWARE_AUDIO_EFFECT_CONVERSIONS_H_
diff --git a/audio/effect/all-versions/default/Effect.cpp b/audio/effect/all-versions/default/Effect.cpp
index edd364c..ccfc6b2 100644
--- a/audio/effect/all-versions/default/Effect.cpp
+++ b/audio/effect/all-versions/default/Effect.cpp
@@ -19,7 +19,6 @@
 #define LOG_TAG "EffectHAL"
 #define ATRACE_TAG ATRACE_TAG_AUDIO
 
-#include "Conversions.h"
 #include "Effect.h"
 #include "common/all-versions/default/EffectMap.h"
 
@@ -30,6 +29,7 @@
 #include <HidlUtils.h>
 #include <android/log.h>
 #include <media/EffectsFactoryApi.h>
+#include <util/EffectUtils.h>
 #include <utils/Trace.h>
 
 #include "VersionUtils.h"
@@ -202,34 +202,6 @@
     halConfig->aux_channels = static_cast<audio_channel_mask_t>(config.auxChannels);
 }
 
-void Effect::effectBufferConfigFromHal(const buffer_config_t& halConfig,
-                                       EffectBufferConfig* config) {
-    config->buffer.id = 0;
-    config->buffer.frameCount = 0;
-    config->samplingRateHz = halConfig.samplingRate;
-    config->channels = AudioChannelBitfield(halConfig.channels);
-    config->format = AudioFormat(halConfig.format);
-    config->accessMode = EffectBufferAccess(halConfig.accessMode);
-    config->mask = static_cast<decltype(config->mask)>(halConfig.mask);
-}
-
-// static
-void Effect::effectBufferConfigToHal(const EffectBufferConfig& config, buffer_config_t* halConfig) {
-    // Note: setting the buffers directly is considered obsolete. They need to be set
-    // using 'setProcessBuffers'.
-    halConfig->buffer.frameCount = 0;
-    halConfig->buffer.raw = NULL;
-    halConfig->samplingRate = config.samplingRateHz;
-    halConfig->channels = static_cast<uint32_t>(config.channels);
-    // Note: The framework code does not use BP.
-    halConfig->bufferProvider.cookie = NULL;
-    halConfig->bufferProvider.getBuffer = NULL;
-    halConfig->bufferProvider.releaseBuffer = NULL;
-    halConfig->format = static_cast<uint8_t>(config.format);
-    halConfig->accessMode = static_cast<uint8_t>(config.accessMode);
-    halConfig->mask = static_cast<uint8_t>(config.mask);
-}
-
 #else  // MAJOR_VERSION <= 6
 
 void Effect::effectAuxChannelsConfigFromHal(const channel_config_t& halConfig,
@@ -247,50 +219,8 @@
     (void)HidlUtils::audioChannelMaskToHal(config.auxChannels, &halConfig->aux_channels);
 }
 
-void Effect::effectBufferConfigFromHal(const buffer_config_t& halConfig,
-                                       EffectBufferConfig* config) {
-    config->buffer.id = 0;
-    config->buffer.frameCount = 0;
-    audio_config_base_t halConfigBase = {halConfig.samplingRate,
-                                         static_cast<audio_channel_mask_t>(halConfig.channels),
-                                         static_cast<audio_format_t>(halConfig.format)};
-    (void)HidlUtils::audioConfigBaseFromHal(halConfigBase, mIsInput, &config->base);
-    config->accessMode = EffectBufferAccess(halConfig.accessMode);
-    config->mask = static_cast<decltype(config->mask)>(halConfig.mask);
-}
-
-// static
-void Effect::effectBufferConfigToHal(const EffectBufferConfig& config, buffer_config_t* halConfig) {
-    // Note: setting the buffers directly is considered obsolete. They need to be set
-    // using 'setProcessBuffers'.
-    halConfig->buffer.frameCount = 0;
-    halConfig->buffer.raw = nullptr;
-    audio_config_base_t halConfigBase;
-    (void)HidlUtils::audioConfigBaseToHal(config.base, &halConfigBase);
-    halConfig->samplingRate = halConfigBase.sample_rate;
-    halConfig->channels = halConfigBase.channel_mask;
-    halConfig->format = halConfigBase.format;
-    // Note: The framework code does not use BP.
-    halConfig->bufferProvider.cookie = nullptr;
-    halConfig->bufferProvider.getBuffer = nullptr;
-    halConfig->bufferProvider.releaseBuffer = nullptr;
-    halConfig->accessMode = static_cast<uint8_t>(config.accessMode);
-    halConfig->mask = static_cast<uint8_t>(config.mask);
-}
-
 #endif  // MAJOR_VERSION <= 6
 
-void Effect::effectConfigFromHal(const effect_config_t& halConfig, EffectConfig* config) {
-    effectBufferConfigFromHal(halConfig.inputCfg, &config->inputCfg);
-    effectBufferConfigFromHal(halConfig.outputCfg, &config->outputCfg);
-}
-
-// static
-void Effect::effectConfigToHal(const EffectConfig& config, effect_config_t* halConfig) {
-    effectBufferConfigToHal(config.inputCfg, &halConfig->inputCfg);
-    effectBufferConfigToHal(config.outputCfg, &halConfig->outputCfg);
-}
-
 // static
 void Effect::effectOffloadParamToHal(const EffectOffloadParameter& offload,
                                      effect_offload_param_t* halOffload) {
@@ -355,7 +285,7 @@
         (*mHandle)->command(mHandle, commandCode, 0, NULL, &halResultSize, &halConfig);
     EffectConfig config;
     if (status == OK) {
-        effectConfigFromHal(halConfig, &config);
+        status = EffectUtils::effectConfigFromHal(halConfig, mIsInput, &config);
     }
     cb(analyzeCommandStatus(commandName, sContextCallToCommand, status), config);
 }
@@ -520,7 +450,7 @@
                              const sp<IEffectBufferProviderCallback>& inputBufferProvider,
                              const sp<IEffectBufferProviderCallback>& outputBufferProvider) {
     effect_config_t halConfig;
-    effectConfigToHal(config, &halConfig);
+    EffectUtils::effectConfigToHal(config, &halConfig);
     if (inputBufferProvider != 0) {
         LOG_FATAL("Using input buffer provider is not supported");
     }
@@ -715,7 +645,7 @@
     status_t status = (*mHandle)->get_descriptor(mHandle, &halDescriptor);
     EffectDescriptor descriptor;
     if (status == OK) {
-        effectDescriptorFromHal(halDescriptor, &descriptor);
+        status = EffectUtils::effectDescriptorFromHal(halDescriptor, &descriptor);
     }
     _hidl_cb(analyzeStatus("get_descriptor", "", sContextCallFunction, status), descriptor);
     return Void();
diff --git a/audio/effect/all-versions/default/Effect.h b/audio/effect/all-versions/default/Effect.h
index 9aa47ea..d5218f7 100644
--- a/audio/effect/all-versions/default/Effect.h
+++ b/audio/effect/all-versions/default/Effect.h
@@ -203,11 +203,6 @@
                                         EffectAuxChannelsConfig* config);
     static void effectAuxChannelsConfigToHal(const EffectAuxChannelsConfig& config,
                                              channel_config_t* halConfig);
-    void effectBufferConfigFromHal(const buffer_config_t& halConfig, EffectBufferConfig* config);
-    static void effectBufferConfigToHal(const EffectBufferConfig& config,
-                                        buffer_config_t* halConfig);
-    void effectConfigFromHal(const effect_config_t& halConfig, EffectConfig* config);
-    static void effectConfigToHal(const EffectConfig& config, effect_config_t* halConfig);
     static void effectOffloadParamToHal(const EffectOffloadParameter& offload,
                                         effect_offload_param_t* halOffload);
     static std::vector<uint8_t> parameterToHal(uint32_t paramSize, const void* paramData,
diff --git a/audio/effect/all-versions/default/EffectsFactory.cpp b/audio/effect/all-versions/default/EffectsFactory.cpp
index 1ea990b..eb1cb49 100644
--- a/audio/effect/all-versions/default/EffectsFactory.cpp
+++ b/audio/effect/all-versions/default/EffectsFactory.cpp
@@ -19,7 +19,6 @@
 #include "AcousticEchoCancelerEffect.h"
 #include "AutomaticGainControlEffect.h"
 #include "BassBoostEffect.h"
-#include "Conversions.h"
 #include "DownmixEffect.h"
 #include "Effect.h"
 #include "EnvironmentalReverbEffect.h"
@@ -27,11 +26,11 @@
 #include "LoudnessEnhancerEffect.h"
 #include "NoiseSuppressionEffect.h"
 #include "PresetReverbEffect.h"
-#include "UuidUtils.h"
 #include "VirtualizerEffect.h"
 #include "VisualizerEffect.h"
 #include "common/all-versions/default/EffectMap.h"
 
+#include <UuidUtils.h>
 #include <android/log.h>
 #include <media/EffectsFactoryApi.h>
 #include <system/audio_effects/effect_aec.h>
@@ -45,6 +44,7 @@
 #include <system/audio_effects/effect_presetreverb.h>
 #include <system/audio_effects/effect_virtualizer.h>
 #include <system/audio_effects/effect_visualizer.h>
+#include <util/EffectUtils.h>
 
 namespace android {
 namespace hardware {
@@ -107,7 +107,7 @@
         effect_descriptor_t halDescriptor;
         status = EffectQueryEffect(i, &halDescriptor);
         if (status == OK) {
-            effectDescriptorFromHal(halDescriptor, &result[i]);
+            EffectUtils::effectDescriptorFromHal(halDescriptor, &result[i]);
         } else {
             ALOGE("Error querying effect at position %d / %d: %s", i, numEffects,
                   strerror(-status));
@@ -141,11 +141,11 @@
     effect_descriptor_t halDescriptor;
     status_t status = EffectGetDescriptor(&halUuid, &halDescriptor);
     EffectDescriptor descriptor;
-    effectDescriptorFromHal(halDescriptor, &descriptor);
+    EffectUtils::effectDescriptorFromHal(halDescriptor, &descriptor);
     Result retval(Result::OK);
     if (status != OK) {
-        ALOGE("Error querying effect descriptor for %s: %s", uuidToString(halUuid).c_str(),
-              strerror(-status));
+        ALOGE("Error querying effect descriptor for %s: %s",
+              UuidUtils::uuidToString(halUuid).c_str(), strerror(-status));
         if (status == -ENOENT) {
             retval = Result::INVALID_ARGUMENTS;
         } else {
@@ -191,13 +191,14 @@
             effect = dispatchEffectInstanceCreation(halDescriptor, handle);
             effectId = EffectMap::getInstance().add(handle);
         } else {
-            ALOGE("Error querying effect descriptor for %s: %s", uuidToString(halUuid).c_str(),
-                  strerror(-status));
+            ALOGE("Error querying effect descriptor for %s: %s",
+                  UuidUtils::uuidToString(halUuid).c_str(), strerror(-status));
             EffectRelease(handle);
         }
     }
     if (status != OK) {
-        ALOGE("Error creating effect %s: %s", uuidToString(halUuid).c_str(), strerror(-status));
+        ALOGE("Error creating effect %s: %s", UuidUtils::uuidToString(halUuid).c_str(),
+              strerror(-status));
         if (status == -ENOENT) {
             retval = Result::INVALID_ARGUMENTS;
         } else {
diff --git a/audio/effect/all-versions/default/TEST_MAPPING b/audio/effect/all-versions/default/TEST_MAPPING
new file mode 100644
index 0000000..b66e4e4
--- /dev/null
+++ b/audio/effect/all-versions/default/TEST_MAPPING
@@ -0,0 +1,7 @@
+{
+  "presubmit": [
+    {
+      "name": "android.hardware.audio.effect@7.0-util_tests"
+    }
+  ]
+}
diff --git a/audio/effect/all-versions/default/util/Android.bp b/audio/effect/all-versions/default/util/Android.bp
new file mode 100644
index 0000000..5ba19d3
--- /dev/null
+++ b/audio/effect/all-versions/default/util/Android.bp
@@ -0,0 +1,136 @@
+cc_defaults {
+    name: "android.hardware.audio.effect-util_default",
+    defaults: ["hidl_defaults"],
+
+    vendor_available: true,
+
+    export_include_dirs: ["include"],
+
+    srcs: [
+        "EffectUtils.cpp",
+    ],
+
+    shared_libs: [
+        "liblog",
+        "libutils",
+        "libhidlbase",
+        "android.hardware.audio.common-util",
+    ],
+    export_shared_lib_headers: [
+        "android.hardware.audio.common-util",
+    ],
+
+    header_libs: [
+        "libaudio_system_headers",
+        "libhardware_headers",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio.effect@2.0-util",
+    defaults: ["android.hardware.audio.effect-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@2.0",
+        "android.hardware.audio.common@2.0-util",
+        "android.hardware.audio.effect@2.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=2",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio.effect@4.0-util",
+    defaults: ["android.hardware.audio.effect-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@4.0",
+        "android.hardware.audio.common@4.0-util",
+        "android.hardware.audio.effect@4.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=4",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio.effect@5.0-util",
+    defaults: ["android.hardware.audio.effect-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@5.0",
+        "android.hardware.audio.common@5.0-util",
+        "android.hardware.audio.effect@5.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=5",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library_shared {
+    name: "android.hardware.audio.effect@6.0-util",
+    defaults: ["android.hardware.audio.effect-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@6.0",
+        "android.hardware.audio.common@6.0-util",
+        "android.hardware.audio.effect@6.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=6",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+cc_library {
+    name: "android.hardware.audio.effect@7.0-util",
+    defaults: ["android.hardware.audio.effect-util_default"],
+    shared_libs: [
+        "android.hardware.audio.common@7.0",
+        "android.hardware.audio.common@7.0-util",
+        "android.hardware.audio.effect@7.0",
+    ],
+    cflags: [
+        "-DMAJOR_VERSION=7",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+}
+
+// Note: this isn't a VTS test, but rather a unit test
+// to verify correctness of conversion utilities.
+cc_test {
+    name: "android.hardware.audio.effect@7.0-util_tests",
+    defaults: ["android.hardware.audio.effect-util_default"],
+
+    srcs: ["tests/effectutils_tests.cpp"],
+
+    // Use static linking to allow running in presubmit on
+    // targets that don't have HAL V7.
+    static_libs: [
+        "android.hardware.audio.common@7.0",
+        "android.hardware.audio.common@7.0-enums",
+        "android.hardware.audio.common@7.0-util",
+        "android.hardware.audio.effect@7.0",
+        "android.hardware.audio.effect@7.0-util",
+    ],
+
+    shared_libs: [
+        "libbase",
+        "libxml2",
+    ],
+
+    cflags: [
+        "-Werror",
+        "-Wall",
+        "-DMAJOR_VERSION=7",
+        "-DMINOR_VERSION=0",
+        "-include common/all-versions/VersionMacro.h",
+    ],
+
+    test_suites: ["device-tests"],
+}
diff --git a/audio/effect/all-versions/default/util/EffectUtils.cpp b/audio/effect/all-versions/default/util/EffectUtils.cpp
new file mode 100644
index 0000000..1c0419a
--- /dev/null
+++ b/audio/effect/all-versions/default/util/EffectUtils.cpp
@@ -0,0 +1,183 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <memory.h>
+
+#include <HidlUtils.h>
+#include <UuidUtils.h>
+#include <common/all-versions/VersionUtils.h>
+
+#include "util/EffectUtils.h"
+
+using ::android::hardware::audio::common::CPP_VERSION::implementation::HidlUtils;
+using ::android::hardware::audio::common::CPP_VERSION::implementation::UuidUtils;
+using ::android::hardware::audio::common::utils::EnumBitfield;
+
+namespace android {
+namespace hardware {
+namespace audio {
+namespace effect {
+namespace CPP_VERSION {
+namespace implementation {
+
+using namespace ::android::hardware::audio::common::CPP_VERSION;
+
+#define CONVERT_CHECKED(expr, result)                   \
+    if (status_t status = (expr); status != NO_ERROR) { \
+        result = status;                                \
+    }
+
+#if MAJOR_VERSION <= 6
+
+status_t EffectUtils::effectBufferConfigFromHal(const buffer_config_t& halConfig, bool /*isInput*/,
+                                                EffectBufferConfig* config) {
+    config->buffer.id = 0;
+    config->buffer.frameCount = 0;
+    config->samplingRateHz = halConfig.samplingRate;
+    config->channels = EnumBitfield<AudioChannelMask>(halConfig.channels);
+    config->format = AudioFormat(halConfig.format);
+    config->accessMode = EffectBufferAccess(halConfig.accessMode);
+    config->mask = EnumBitfield<EffectConfigParameters>(halConfig.mask);
+    return NO_ERROR;
+}
+
+status_t EffectUtils::effectBufferConfigToHal(const EffectBufferConfig& config,
+                                              buffer_config_t* halConfig) {
+    // Note: setting the buffers directly is considered obsolete. They need to be set
+    // using 'setProcessBuffers'.
+    halConfig->buffer.frameCount = 0;
+    halConfig->buffer.raw = nullptr;
+    halConfig->samplingRate = config.samplingRateHz;
+    halConfig->channels = static_cast<uint32_t>(config.channels);
+    // Note: The framework code does not use BP.
+    halConfig->bufferProvider.cookie = nullptr;
+    halConfig->bufferProvider.getBuffer = nullptr;
+    halConfig->bufferProvider.releaseBuffer = nullptr;
+    halConfig->format = static_cast<uint8_t>(config.format);
+    halConfig->accessMode = static_cast<uint8_t>(config.accessMode);
+    halConfig->mask = static_cast<uint8_t>(config.mask);
+    return NO_ERROR;
+}
+
+#else
+
+status_t EffectUtils::effectBufferConfigFromHal(const buffer_config_t& halConfig, bool isInput,
+                                                EffectBufferConfig* config) {
+    status_t result = NO_ERROR;
+    config->buffer.unspecified();
+    audio_config_base_t halConfigBase = {halConfig.samplingRate,
+                                         static_cast<audio_channel_mask_t>(halConfig.channels),
+                                         static_cast<audio_format_t>(halConfig.format)};
+    CONVERT_CHECKED(HidlUtils::audioConfigBaseOptionalFromHal(
+                            halConfigBase, isInput, halConfig.mask & EFFECT_CONFIG_FORMAT,
+                            halConfig.mask & EFFECT_CONFIG_SMP_RATE,
+                            halConfig.mask & EFFECT_CONFIG_CHANNELS, &config->base),
+                    result);
+    if (halConfig.mask & EFFECT_CONFIG_ACC_MODE) {
+        config->accessMode.value(EffectBufferAccess(halConfig.accessMode));
+    }
+    return result;
+}
+
+status_t EffectUtils::effectBufferConfigToHal(const EffectBufferConfig& config,
+                                              buffer_config_t* halConfig) {
+    status_t result = NO_ERROR;
+    // Note: setting the buffers directly is considered obsolete. They need to be set
+    // using 'setProcessBuffers'.
+    halConfig->buffer.frameCount = 0;
+    halConfig->buffer.raw = nullptr;
+    audio_config_base_t halConfigBase = AUDIO_CONFIG_BASE_INITIALIZER;
+    bool formatSpecified = false, sRateSpecified = false, channelMaskSpecified = false;
+    CONVERT_CHECKED(
+            HidlUtils::audioConfigBaseOptionalToHal(config.base, &halConfigBase, &formatSpecified,
+                                                    &sRateSpecified, &channelMaskSpecified),
+            result);
+    halConfig->mask = 0;
+    if (sRateSpecified) {
+        halConfig->mask |= EFFECT_CONFIG_SMP_RATE;
+        halConfig->samplingRate = halConfigBase.sample_rate;
+    }
+    if (channelMaskSpecified) {
+        halConfig->mask |= EFFECT_CONFIG_CHANNELS;
+        halConfig->channels = halConfigBase.channel_mask;
+    }
+    if (formatSpecified) {
+        halConfig->mask |= EFFECT_CONFIG_FORMAT;
+        halConfig->format = halConfigBase.format;
+    }
+    // Note: The framework code does not use BP.
+    halConfig->bufferProvider.cookie = nullptr;
+    halConfig->bufferProvider.getBuffer = nullptr;
+    halConfig->bufferProvider.releaseBuffer = nullptr;
+    if (config.accessMode.getDiscriminator() ==
+        EffectBufferConfig::OptionalAccessMode::hidl_discriminator::value) {
+        halConfig->mask |= EFFECT_CONFIG_ACC_MODE;
+        halConfig->accessMode = static_cast<uint8_t>(config.accessMode.value());
+    }
+    return result;
+}
+
+#endif  // MAJOR_VERSION >= 6
+
+status_t EffectUtils::effectConfigFromHal(const effect_config_t& halConfig, bool isInput,
+                                          EffectConfig* config) {
+    status_t result = NO_ERROR;
+    CONVERT_CHECKED(effectBufferConfigFromHal(halConfig.inputCfg, isInput, &config->inputCfg),
+                    result);
+    CONVERT_CHECKED(effectBufferConfigFromHal(halConfig.outputCfg, isInput, &config->outputCfg),
+                    result);
+    return result;
+}
+
+status_t EffectUtils::effectConfigToHal(const EffectConfig& config, effect_config_t* halConfig) {
+    status_t result = NO_ERROR;
+    CONVERT_CHECKED(effectBufferConfigToHal(config.inputCfg, &halConfig->inputCfg), result);
+    CONVERT_CHECKED(effectBufferConfigToHal(config.outputCfg, &halConfig->outputCfg), result);
+    return result;
+}
+
+status_t EffectUtils::effectDescriptorFromHal(const effect_descriptor_t& halDescriptor,
+                                              EffectDescriptor* descriptor) {
+    UuidUtils::uuidFromHal(halDescriptor.type, &descriptor->type);
+    UuidUtils::uuidFromHal(halDescriptor.uuid, &descriptor->uuid);
+    descriptor->flags = EnumBitfield<EffectFlags>(halDescriptor.flags);
+    descriptor->cpuLoad = halDescriptor.cpuLoad;
+    descriptor->memoryUsage = halDescriptor.memoryUsage;
+    memcpy(descriptor->name.data(), halDescriptor.name, descriptor->name.size());
+    memcpy(descriptor->implementor.data(), halDescriptor.implementor,
+           descriptor->implementor.size());
+    return NO_ERROR;
+}
+
+status_t EffectUtils::effectDescriptorToHal(const EffectDescriptor& descriptor,
+                                            effect_descriptor_t* halDescriptor) {
+    UuidUtils::uuidToHal(descriptor.type, &halDescriptor->type);
+    UuidUtils::uuidToHal(descriptor.uuid, &halDescriptor->uuid);
+    halDescriptor->flags = static_cast<uint32_t>(descriptor.flags);
+    halDescriptor->cpuLoad = descriptor.cpuLoad;
+    halDescriptor->memoryUsage = descriptor.memoryUsage;
+    memcpy(halDescriptor->name, descriptor.name.data(), descriptor.name.size());
+    memcpy(halDescriptor->implementor, descriptor.implementor.data(),
+           descriptor.implementor.size());
+    return NO_ERROR;
+}
+
+}  // namespace implementation
+}  // namespace CPP_VERSION
+}  // namespace effect
+}  // namespace audio
+}  // namespace hardware
+}  // namespace android
diff --git a/audio/effect/all-versions/default/util/include/util/EffectUtils.h b/audio/effect/all-versions/default/util/include/util/EffectUtils.h
new file mode 100644
index 0000000..23963b4
--- /dev/null
+++ b/audio/effect/all-versions/default/util/include/util/EffectUtils.h
@@ -0,0 +1,53 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+// clang-format off
+#include PATH(android/hardware/audio/effect/FILE_VERSION/types.h)
+// clang-format on
+
+#include <system/audio_effect.h>
+
+namespace android {
+namespace hardware {
+namespace audio {
+namespace effect {
+namespace CPP_VERSION {
+namespace implementation {
+
+using namespace ::android::hardware::audio::effect::CPP_VERSION;
+
+struct EffectUtils {
+    static status_t effectBufferConfigFromHal(const buffer_config_t& halConfig, bool isInput,
+                                              EffectBufferConfig* config);
+    static status_t effectBufferConfigToHal(const EffectBufferConfig& config,
+                                            buffer_config_t* halConfig);
+    static status_t effectConfigFromHal(const effect_config_t& halConfig, bool isInput,
+                                        EffectConfig* config);
+    static status_t effectConfigToHal(const EffectConfig& config, effect_config_t* halConfig);
+    static status_t effectDescriptorFromHal(const effect_descriptor_t& halDescriptor,
+                                            EffectDescriptor* descriptor);
+    static status_t effectDescriptorToHal(const EffectDescriptor& descriptor,
+                                          effect_descriptor_t* halDescriptor);
+};
+
+}  // namespace implementation
+}  // namespace CPP_VERSION
+}  // namespace effect
+}  // namespace audio
+}  // namespace hardware
+}  // namespace android
diff --git a/audio/effect/all-versions/default/util/tests/effectutils_tests.cpp b/audio/effect/all-versions/default/util/tests/effectutils_tests.cpp
new file mode 100644
index 0000000..7eb8cd2
--- /dev/null
+++ b/audio/effect/all-versions/default/util/tests/effectutils_tests.cpp
@@ -0,0 +1,144 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <string>
+
+#include <gtest/gtest.h>
+
+#define LOG_TAG "EffectUtils_Test"
+#include <log/log.h>
+
+#include <android_audio_policy_configuration_V7_0-enums.h>
+#include <system/audio_effect.h>
+#include <util/EffectUtils.h>
+#include <xsdc/XsdcSupport.h>
+
+using namespace android;
+using namespace ::android::hardware::audio::common::CPP_VERSION;
+using namespace ::android::hardware::audio::effect::CPP_VERSION;
+using ::android::hardware::audio::effect::CPP_VERSION::implementation::EffectUtils;
+namespace xsd {
+using namespace ::android::audio::policy::configuration::V7_0;
+}
+
+static constexpr audio_channel_mask_t kInvalidHalChannelMask = AUDIO_CHANNEL_INVALID;
+static constexpr audio_format_t kInvalidHalFormat = AUDIO_FORMAT_INVALID;
+
+// Not generated automatically because AudioBuffer contains
+// instances of hidl_memory which can't be compared properly
+// in general case due to presence of handles.
+//
+// However, in this particular case, handles must not present
+// thus comparison is possible.
+//
+// operator== must be defined in the same namespace as the structures.
+namespace android {
+namespace hardware {
+namespace audio {
+namespace effect {
+namespace CPP_VERSION {
+inline bool operator==(const AudioBuffer& lhs, const AudioBuffer& rhs) {
+    return lhs.id == rhs.id && lhs.frameCount == rhs.frameCount && lhs.data.handle() == nullptr &&
+           rhs.data.handle() == nullptr;
+}
+
+inline bool operator==(const EffectBufferConfig& lhs, const EffectBufferConfig& rhs) {
+    return lhs.buffer.getDiscriminator() == rhs.buffer.getDiscriminator() &&
+           (lhs.buffer.getDiscriminator() ==
+                    EffectBufferConfig::OptionalBuffer::hidl_discriminator::unspecified ||
+            lhs.buffer.buf() == rhs.buffer.buf()) &&
+           lhs.base == rhs.base && lhs.accessMode == rhs.accessMode;
+}
+
+inline bool operator==(const EffectConfig& lhs, const EffectConfig& rhs) {
+    return lhs.inputCfg == rhs.inputCfg && lhs.outputCfg == rhs.outputCfg;
+}
+}  // namespace CPP_VERSION
+}  // namespace effect
+}  // namespace audio
+}  // namespace hardware
+}  // namespace android
+
+TEST(EffectUtils, ConvertInvalidBufferConfig) {
+    buffer_config_t halInvalid;
+    EffectBufferConfig invalidChannelMask;
+    invalidChannelMask.base.channelMask.value("random string");
+    EXPECT_EQ(BAD_VALUE, EffectUtils::effectBufferConfigToHal(invalidChannelMask, &halInvalid));
+    EffectBufferConfig invalidFormat;
+    invalidFormat.base.format.value("random string");
+    EXPECT_EQ(BAD_VALUE, EffectUtils::effectBufferConfigToHal(invalidFormat, &halInvalid));
+
+    buffer_config_t halInvalidChannelMask;
+    EffectBufferConfig invalid;
+    halInvalidChannelMask.channels = kInvalidHalChannelMask;
+    halInvalidChannelMask.mask = EFFECT_CONFIG_CHANNELS;
+    EXPECT_EQ(BAD_VALUE, EffectUtils::effectBufferConfigFromHal(halInvalidChannelMask,
+                                                                false /*isInput*/, &invalid));
+    EXPECT_EQ(BAD_VALUE, EffectUtils::effectBufferConfigFromHal(halInvalidChannelMask,
+                                                                true /*isInput*/, &invalid));
+    buffer_config_t halInvalidFormat;
+    halInvalidFormat.format = (uint8_t)kInvalidHalFormat;
+    halInvalidFormat.mask = EFFECT_CONFIG_FORMAT;
+    EXPECT_EQ(BAD_VALUE, EffectUtils::effectBufferConfigFromHal(halInvalidFormat, false /*isInput*/,
+                                                                &invalid));
+    EXPECT_EQ(BAD_VALUE,
+              EffectUtils::effectBufferConfigFromHal(halInvalidFormat, true /*isInput*/, &invalid));
+}
+
+TEST(EffectUtils, ConvertBufferConfig) {
+    EffectBufferConfig empty;
+    buffer_config_t halEmpty;
+    EXPECT_EQ(NO_ERROR, EffectUtils::effectBufferConfigToHal(empty, &halEmpty));
+    EffectBufferConfig emptyBackOut;
+    EXPECT_EQ(NO_ERROR,
+              EffectUtils::effectBufferConfigFromHal(halEmpty, false /*isInput*/, &emptyBackOut));
+    EXPECT_EQ(empty, emptyBackOut);
+    EffectBufferConfig emptyBackIn;
+    EXPECT_EQ(NO_ERROR,
+              EffectUtils::effectBufferConfigFromHal(halEmpty, true /*isInput*/, &emptyBackIn));
+    EXPECT_EQ(empty, emptyBackIn);
+
+    EffectBufferConfig chanMask;
+    chanMask.base.channelMask.value(toString(xsd::AudioChannelMask::AUDIO_CHANNEL_OUT_STEREO));
+    buffer_config_t halChanMask;
+    EXPECT_EQ(NO_ERROR, EffectUtils::effectBufferConfigToHal(chanMask, &halChanMask));
+    EffectBufferConfig chanMaskBack;
+    EXPECT_EQ(NO_ERROR, EffectUtils::effectBufferConfigFromHal(halChanMask, false /*isInput*/,
+                                                               &chanMaskBack));
+    EXPECT_EQ(chanMask, chanMaskBack);
+
+    EffectBufferConfig format;
+    format.base.format.value(toString(xsd::AudioFormat::AUDIO_FORMAT_PCM_16_BIT));
+    buffer_config_t halFormat;
+    EXPECT_EQ(NO_ERROR, EffectUtils::effectBufferConfigToHal(format, &halFormat));
+    EffectBufferConfig formatBackOut;
+    EXPECT_EQ(NO_ERROR,
+              EffectUtils::effectBufferConfigFromHal(halFormat, false /*isInput*/, &formatBackOut));
+    EXPECT_EQ(format, formatBackOut);
+    EffectBufferConfig formatBackIn;
+    EXPECT_EQ(NO_ERROR,
+              EffectUtils::effectBufferConfigFromHal(halFormat, true /*isInput*/, &formatBackIn));
+    EXPECT_EQ(format, formatBackIn);
+}
+
+TEST(EffectUtils, ConvertDescriptor) {
+    EffectDescriptor desc{};
+    effect_descriptor_t halDesc;
+    EXPECT_EQ(NO_ERROR, EffectUtils::effectDescriptorToHal(desc, &halDesc));
+    EffectDescriptor descBack;
+    EXPECT_EQ(NO_ERROR, EffectUtils::effectDescriptorFromHal(halDesc, &descBack));
+    EXPECT_EQ(desc, descBack);
+}
diff --git a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp
index 35ff869..15a2fd9 100644
--- a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp
+++ b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp
@@ -264,8 +264,10 @@
     *channelCount = audio_channel_count_from_out_mask(
         static_cast<audio_channel_mask_t>(currentConfig.outputCfg.channels));
 #else
+    ASSERT_EQ(AudioConfigBaseOptional::ChannelMask::hidl_discriminator::value,
+              currentConfig.outputCfg.base.channelMask.getDiscriminator());
     *channelCount = android::audio::policy::configuration::V7_0::getChannelCount(
-            currentConfig.outputCfg.base.channelMask);
+            currentConfig.outputCfg.base.channelMask.value());
     ASSERT_NE(*channelCount, 0);
 #endif
 }
@@ -315,10 +317,10 @@
 std::vector<EffectBufferConfig> generateInvalidConfigs(const EffectBufferConfig& src) {
     std::vector<EffectBufferConfig> result;
     EffectBufferConfig invalidFormat = src;
-    invalidFormat.base.format = "random_string";
+    invalidFormat.base.format.value("random_string");
     result.push_back(std::move(invalidFormat));
     EffectBufferConfig invalidChannelMask = src;
-    invalidChannelMask.base.channelMask = "random_string";
+    invalidChannelMask.base.channelMask.value("random_string");
     result.push_back(std::move(invalidChannelMask));
     return result;
 }
@@ -395,17 +397,22 @@
            rhs.data.handle() == nullptr;
 }
 
+#if MAJOR_VERSION <= 6
 inline bool operator==(const EffectBufferConfig& lhs, const EffectBufferConfig& rhs) {
     return lhs.buffer == rhs.buffer &&
-#if MAJOR_VERSION <= 6
            lhs.samplingRateHz == rhs.samplingRateHz && lhs.channels == rhs.channels &&
            lhs.format == rhs.format &&
-#else
-           lhs.base.sampleRateHz == rhs.base.sampleRateHz &&
-           lhs.base.channelMask == rhs.base.channelMask && lhs.base.format == rhs.base.format &&
-#endif
            lhs.accessMode == rhs.accessMode && lhs.mask == rhs.mask;
 }
+#else
+inline bool operator==(const EffectBufferConfig& lhs, const EffectBufferConfig& rhs) {
+    return lhs.buffer.getDiscriminator() == rhs.buffer.getDiscriminator() &&
+           (lhs.buffer.getDiscriminator() ==
+                    EffectBufferConfig::OptionalBuffer::hidl_discriminator::unspecified ||
+            lhs.buffer.buf() == rhs.buffer.buf()) &&
+           lhs.base == rhs.base && lhs.accessMode == rhs.accessMode;
+}
+#endif  // MAJOR_VERSION <= 6
 
 inline bool operator==(const EffectConfig& lhs, const EffectConfig& rhs) {
     return lhs.inputCfg == rhs.inputCfg && lhs.outputCfg == rhs.outputCfg;
diff --git a/authsecret/aidl/default/Android.bp b/authsecret/aidl/default/Android.bp
index d598344..44e0711 100644
--- a/authsecret/aidl/default/Android.bp
+++ b/authsecret/aidl/default/Android.bp
@@ -25,7 +25,7 @@
         "AuthSecret.cpp",
     ],
     shared_libs: [
-        "android.hardware.authsecret-ndk_platform",
+        "android.hardware.authsecret-V1-ndk_platform",
         "libbase",
         "libbinder_ndk",
     ],
diff --git a/authsecret/aidl/vts/Android.bp b/authsecret/aidl/vts/Android.bp
index 83a85b2..29b3bcc 100644
--- a/authsecret/aidl/vts/Android.bp
+++ b/authsecret/aidl/vts/Android.bp
@@ -21,7 +21,7 @@
         "use_libaidlvintf_gtest_helper_static",
     ],
     srcs: ["VtsHalAuthSecretTargetTest.cpp"],
-    static_libs: ["android.hardware.authsecret-ndk_platform"],
+    static_libs: ["android.hardware.authsecret-V1-ndk_platform"],
     shared_libs: ["libbinder_ndk"],
     test_suites: [
         "general-tests",
diff --git a/automotive/audiocontrol/aidl/default/Android.bp b/automotive/audiocontrol/aidl/default/Android.bp
index 427709a..05fec79 100644
--- a/automotive/audiocontrol/aidl/default/Android.bp
+++ b/automotive/audiocontrol/aidl/default/Android.bp
@@ -22,8 +22,8 @@
     generated_sources: ["audio_policy_configuration_V7_0"],
     header_libs: ["libxsdc-utils"],
     shared_libs: [
-        "android.frameworks.automotive.powerpolicy-ndk_platform",
-        "android.hardware.automotive.audiocontrol-ndk_platform",
+        "android.frameworks.automotive.powerpolicy-V1-ndk_platform",
+        "android.hardware.automotive.audiocontrol-V1-ndk_platform",
         "libbase",
         "libbinder_ndk",
         "libcutils",
diff --git a/automotive/audiocontrol/aidl/vts/Android.bp b/automotive/audiocontrol/aidl/vts/Android.bp
index 3d81e00..89f5f92 100644
--- a/automotive/audiocontrol/aidl/vts/Android.bp
+++ b/automotive/audiocontrol/aidl/vts/Android.bp
@@ -28,7 +28,7 @@
         "libxml2",
     ],
     static_libs: [
-        "android.hardware.automotive.audiocontrol-cpp",
+        "android.hardware.automotive.audiocontrol-V1-cpp",
         "libgmock",
     ],
     test_suites: [
diff --git a/automotive/can/1.0/default/libnl++/Android.bp b/automotive/can/1.0/default/libnl++/Android.bp
index a69e302..9e18ba0 100644
--- a/automotive/can/1.0/default/libnl++/Android.bp
+++ b/automotive/can/1.0/default/libnl++/Android.bp
@@ -26,6 +26,7 @@
         "protocols/generic/Generic.cpp",
         "protocols/generic/GenericMessageBase.cpp",
         "protocols/generic/Unknown.cpp",
+        "protocols/generic/families/Mac80211hwsim.cpp",
         "protocols/generic/families/Nl80211.cpp",
         "protocols/route/Link.cpp",
         "protocols/route/Route.cpp",
@@ -33,6 +34,7 @@
         "protocols/MessageDefinition.cpp",
         "protocols/NetlinkProtocol.cpp",
         "protocols/all.cpp",
+        "protocols/structs.cpp",
         "Attributes.cpp",
         "MessageFactory.cpp",
         "MessageMutator.cpp",
diff --git a/automotive/can/1.0/default/libnl++/MessageMutator.cpp b/automotive/can/1.0/default/libnl++/MessageMutator.cpp
index 00b48a6..de2a2b1 100644
--- a/automotive/can/1.0/default/libnl++/MessageMutator.cpp
+++ b/automotive/can/1.0/default/libnl++/MessageMutator.cpp
@@ -19,7 +19,7 @@
 namespace android::nl {
 
 MessageMutator::MessageMutator(nlmsghdr* buffer, size_t totalLen)
-    : mConstBuffer(buffer, totalLen), mMutableBuffer(buffer) {
+    : mMutableBuffer(buffer), mTotalLen(totalLen) {
     CHECK(totalLen >= sizeof(nlmsghdr));
 }
 
@@ -27,8 +27,12 @@
     return mMutableBuffer;
 }
 
+Buffer<nlmsghdr> MessageMutator::constBuffer() const {
+    return {mMutableBuffer, mTotalLen};
+}
+
 MessageMutator::operator Buffer<nlmsghdr>() const {
-    return mConstBuffer;
+    return constBuffer();
 }
 
 uint64_t MessageMutator::read(Buffer<nlattr> attr) const {
@@ -37,7 +41,8 @@
 
 void MessageMutator::write(Buffer<nlattr> attr, uint64_t val) const {
     const auto attrData = attr.data<uint64_t>();
-    const auto offset = mConstBuffer.getOffset(attrData);
+    // TODO(b/177251183): deduplicate this code against fragment()
+    const auto offset = constBuffer().getOffset(attrData);
     CHECK(offset.has_value()) << "Trying to write attribute that's not a member of this message";
 
     const auto writeableBuffer = reinterpret_cast<uint8_t*>(mMutableBuffer) + *offset;
@@ -47,4 +52,40 @@
     memcpy(writeableBuffer, &val, std::min(sizeof(val), attrSize));
 }
 
+MessageMutator MessageMutator::fragment(Buffer<nlmsghdr> buf) const {
+    const auto offset = constBuffer().getOffset(buf);
+    CHECK(offset.has_value()) << "Trying to modify a fragment outside of buffer range";
+
+    const auto writeableBuffer = reinterpret_cast<nlmsghdr*>(uintptr_t(mMutableBuffer) + *offset);
+    const auto len = buf.getRaw().len();
+    CHECK(len <= mTotalLen - *offset);
+
+    return {writeableBuffer, len};
+}
+
+MessageMutator::iterator MessageMutator::begin() const {
+    return {*this, constBuffer().begin()};
+}
+
+MessageMutator::iterator MessageMutator::end() const {
+    return {*this, constBuffer().end()};
+}
+
+MessageMutator::iterator::iterator(const MessageMutator& container,
+                                   Buffer<nlmsghdr>::iterator current)
+    : mContainer(container), mCurrent(current) {}
+
+MessageMutator::iterator MessageMutator::iterator::operator++() {
+    ++mCurrent;
+    return *this;
+}
+
+bool MessageMutator::iterator::operator==(const iterator& other) const {
+    return other.mCurrent == mCurrent;
+}
+
+const MessageMutator MessageMutator::iterator::operator*() const {
+    return mContainer.fragment(*mCurrent);
+}
+
 }  // namespace android::nl
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h b/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h
index d759a0a..4cabb9a 100644
--- a/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h
@@ -138,7 +138,7 @@
     class raw_iterator : public iterator {
       public:
         iterator operator++() {
-            this->mCurrent.mData++;  // ignore alignment
+            ++this->mCurrent.mData;  // ignore alignment
             return *this;
         }
         const T& operator*() const { return *this->mCurrent.mData; }
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/Message.h b/automotive/can/1.0/default/libnl++/include/libnl++/Message.h
index 50b3c4b..29f397d 100644
--- a/automotive/can/1.0/default/libnl++/include/libnl++/Message.h
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/Message.h
@@ -34,7 +34,7 @@
  * a single instance can only be used by a single thread - the one owning the underlying buffer).
  */
 template <typename T>
-class Message {
+class Message : public Buffer<nlmsghdr> {
   public:
     /**
      * Validate buffer contents as a message carrying T data and create instance of parsed message.
@@ -51,7 +51,7 @@
 
         const auto attributes = buf.data<nlattr>(sizeof(T));
 
-        return Message<T>(nlHeader, dataHeader, attributes);
+        return Message<T>(buf, nlHeader, dataHeader, attributes);
     }
 
     /**
@@ -94,8 +94,9 @@
     const T* operator->() const { return &data; }
 
   private:
-    Message(const nlmsghdr& nlHeader, const T& dataHeader, Attributes attributes)
-        : header(nlHeader), data(dataHeader), attributes(attributes) {}
+    Message(Buffer<nlmsghdr> buffer, const nlmsghdr& nlHeader, const T& dataHeader,
+            Attributes attributes)
+        : Buffer<nlmsghdr>(buffer), header(nlHeader), data(dataHeader), attributes(attributes) {}
 };
 
 }  // namespace android::nl
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h b/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h
index 7d495e9..baadc44 100644
--- a/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h
@@ -53,9 +53,27 @@
      */
     void write(Buffer<nlattr> attr, uint64_t val) const;
 
+    class iterator {
+      public:
+        iterator(const MessageMutator& container, Buffer<nlmsghdr>::iterator current);
+
+        iterator operator++();
+        bool operator==(const iterator& other) const;
+        const MessageMutator operator*() const;
+
+      protected:
+        const MessageMutator& mContainer;
+        Buffer<nlmsghdr>::iterator mCurrent;
+    };
+    iterator begin() const;
+    iterator end() const;
+
   private:
-    const Buffer<nlmsghdr> mConstBuffer;
     nlmsghdr* mMutableBuffer;
+    size_t mTotalLen;
+
+    Buffer<nlmsghdr> constBuffer() const;
+    MessageMutator fragment(Buffer<nlmsghdr> buf) const;
 };
 
 }  // namespace android::nl
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/generic/families/mac80211_hwsim.h b/automotive/can/1.0/default/libnl++/include/libnl++/generic/families/mac80211_hwsim.h
new file mode 100644
index 0000000..9b811f8
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/generic/families/mac80211_hwsim.h
@@ -0,0 +1,73 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+// API definitions from kernel drivers/net/wireless/mac80211_hwsim.h
+
+#define BIT(n) (1 << (n))
+
+enum hwsim_tx_control_flags {
+    HWSIM_TX_CTL_REQ_TX_STATUS = BIT(0),
+    HWSIM_TX_CTL_NO_ACK = BIT(1),
+    HWSIM_TX_STAT_ACK = BIT(2),
+};
+
+enum {
+    HWSIM_CMD_UNSPEC,
+    HWSIM_CMD_REGISTER,
+    HWSIM_CMD_FRAME,
+    HWSIM_CMD_TX_INFO_FRAME,
+    HWSIM_CMD_NEW_RADIO,
+    HWSIM_CMD_DEL_RADIO,
+    HWSIM_CMD_GET_RADIO,
+    HWSIM_CMD_ADD_MAC_ADDR,
+    HWSIM_CMD_DEL_MAC_ADDR,
+};
+
+enum {
+    HWSIM_ATTR_UNSPEC,
+    HWSIM_ATTR_ADDR_RECEIVER,
+    HWSIM_ATTR_ADDR_TRANSMITTER,
+    HWSIM_ATTR_FRAME,
+    HWSIM_ATTR_FLAGS,
+    HWSIM_ATTR_RX_RATE,
+    HWSIM_ATTR_SIGNAL,
+    HWSIM_ATTR_TX_INFO,
+    HWSIM_ATTR_COOKIE,
+    HWSIM_ATTR_CHANNELS,
+    HWSIM_ATTR_RADIO_ID,
+    HWSIM_ATTR_REG_HINT_ALPHA2,
+    HWSIM_ATTR_REG_CUSTOM_REG,
+    HWSIM_ATTR_REG_STRICT_REG,
+    HWSIM_ATTR_SUPPORT_P2P_DEVICE,
+    HWSIM_ATTR_USE_CHANCTX,
+    HWSIM_ATTR_DESTROY_RADIO_ON_CLOSE,
+    HWSIM_ATTR_RADIO_NAME,
+    HWSIM_ATTR_NO_VIF,
+    HWSIM_ATTR_FREQ,
+    HWSIM_ATTR_PAD,
+    HWSIM_ATTR_TX_INFO_FLAGS,
+    HWSIM_ATTR_PERM_ADDR,
+    HWSIM_ATTR_IFTYPE_SUPPORT,
+    HWSIM_ATTR_CIPHER_SUPPORT,
+};
+
+struct hwsim_tx_rate {
+    int8_t idx;
+    uint8_t count;
+} __packed;
+static_assert(sizeof(hwsim_tx_rate) == 2);
+
+#undef BIT
diff --git a/automotive/can/1.0/default/libnl++/printer.cpp b/automotive/can/1.0/default/libnl++/printer.cpp
index f08897e..d540482 100644
--- a/automotive/can/1.0/default/libnl++/printer.cpp
+++ b/automotive/can/1.0/default/libnl++/printer.cpp
@@ -154,16 +154,19 @@
     }
 }
 
-std::string toString(const Buffer<nlmsghdr> hdr, int protocol, bool printPayload) {
-    if (!hdr.firstOk()) return "nlmsg{buffer overflow}";
+static void toStream(std::stringstream& ss, const Buffer<nlmsghdr> hdr, int protocol,
+                     bool printPayload) {
+    if (!hdr.firstOk()) {
+        ss << "nlmsg{buffer overflow}";
+        return;
+    }
 
-    std::stringstream ss;
     ss << std::setfill('0');
 
     auto protocolMaybe = protocols::get(protocol);
     if (!protocolMaybe.has_value()) {
         ss << "nlmsg{protocol=" << protocol << "}";
-        return ss.str();
+        return;
     }
     protocols::NetlinkProtocol& protocolDescr = *protocolMaybe;
 
@@ -187,7 +190,7 @@
     ss << ", crc=" << std::hex << std::setw(4) << crc16(hdr.data<uint8_t>()) << std::dec;
     ss << '}';
 
-    if (!printPayload) return ss.str();
+    if (!printPayload) return;
     ss << ' ';
 
     if (!msgDescMaybe.has_value()) {
@@ -210,6 +213,17 @@
     }
 
     ss << "}";
+}
+
+std::string toString(const Buffer<nlmsghdr> hdrs, int protocol, bool printPayload) {
+    std::stringstream ss;
+    bool first = true;
+    for (const auto hdr : hdrs) {
+        if (!first) ss << std::endl;
+        first = false;
+
+        toStream(ss, hdr, protocol, printPayload);
+    }
 
     return ss.str();
 }
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp b/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp
index 1e1ad12..478c383 100644
--- a/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp
@@ -16,6 +16,7 @@
 
 #include "Ctrl.h"
 
+#include "families/Mac80211hwsim.h"
 #include "families/Nl80211.h"
 
 #include <libnl++/Message.h>
@@ -68,12 +69,15 @@
     const auto familyId = msg.attributes.get<uint16_t>(CTRL_ATTR_FAMILY_ID);
     const auto familyName = msg.attributes.get<std::string>(CTRL_ATTR_FAMILY_NAME);
 
-    /* For now, we support just a single family. But if you add more, please define proper
+    /* For now, we support just two families. But if you add more, please define proper
      * abstraction and not hardcode every name and class here.
      */
     if (familyName == "nl80211") {
         mFamilyRegister[familyId] = std::make_shared<families::Nl80211>(familyId);
     }
+    if (familyName == "MAC80211_HWSIM") {
+        mFamilyRegister[familyId] = std::make_shared<families::Mac80211hwsim>(familyId);
+    }
 }
 
 }  // namespace android::nl::protocols::generic
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp b/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp
index b7b811b..f92d6c0 100644
--- a/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp
@@ -40,9 +40,9 @@
 
     ss << "genlmsghdr{";
     if (commandName.has_value()) {
-        ss << "cmd=" << unsigned(data.cmd);
-    } else {
         ss << "cmd=" << *commandName;
+    } else {
+        ss << "cmd=" << unsigned(data.cmd);
     }
     ss << ", version=" << unsigned(data.version);
     if (data.reserved != 0) ss << ", reserved=" << data.reserved;
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.cpp b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.cpp
new file mode 100644
index 0000000..f85309e
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.cpp
@@ -0,0 +1,91 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Mac80211hwsim.h"
+
+#include "../../structs.h"
+#include "common.h"
+
+#include <libnl++/generic/families/mac80211_hwsim.h>
+
+namespace android::nl::protocols::generic::families {
+
+using DataType = AttributeDefinition::DataType;
+using Flags = AttributeDefinition::Flags;
+
+static void hwsim_tx_rateToStream(std::stringstream& ss, const Buffer<nlattr> attr);
+
+static const FlagsMap txControlFlags{
+        {HWSIM_TX_CTL_REQ_TX_STATUS, "REQ_TX"},
+        {HWSIM_TX_CTL_NO_ACK, "NO_ACK"},
+        {HWSIM_TX_STAT_ACK, "ACK"},
+};
+
+// clang-format off
+Mac80211hwsim::Mac80211hwsim(nlmsgtype_t familyId) : GenericMessageBase(familyId, "hwsim", {
+    {HWSIM_CMD_UNSPEC, "UNSPEC"},
+    {HWSIM_CMD_REGISTER, "REGISTER"},
+    {HWSIM_CMD_FRAME, "FRAME"},
+    {HWSIM_CMD_TX_INFO_FRAME, "TX_INFO_FRAME"},
+    {HWSIM_CMD_NEW_RADIO, "NEW_RADIO"},
+    {HWSIM_CMD_DEL_RADIO, "DEL_RADIO"},
+    {HWSIM_CMD_GET_RADIO, "GET_RADIO"},
+    {HWSIM_CMD_ADD_MAC_ADDR, "ADD_MAC_ADDR"},
+    {HWSIM_CMD_DEL_MAC_ADDR, "DEL_MAC_ADDR"},
+}, {
+    {HWSIM_ATTR_UNSPEC, {"UNSPEC"}},
+    {HWSIM_ATTR_ADDR_RECEIVER, {"ADDR_RECEIVER", DataType::Struct, hwaddrToStream}},
+    {HWSIM_ATTR_ADDR_TRANSMITTER, {"ADDR_TRANSMITTER", DataType::Struct, hwaddrToStream}},
+    {HWSIM_ATTR_FRAME, {"FRAME", DataType::Raw, AttributeMap{}, Flags::Verbose}},
+    {HWSIM_ATTR_FLAGS, {"FLAGS", DataType::Struct, flagsToStream(txControlFlags)}},
+    {HWSIM_ATTR_RX_RATE, {"RX_RATE", DataType::Uint}},
+    {HWSIM_ATTR_SIGNAL, {"SIGNAL", DataType::Uint}},
+    {HWSIM_ATTR_TX_INFO, {"TX_INFO", DataType::Struct, hwsim_tx_rateToStream}},
+    {HWSIM_ATTR_COOKIE, {"COOKIE", DataType::Uint}},
+    {HWSIM_ATTR_CHANNELS, {"CHANNELS", DataType::Uint}},
+    {HWSIM_ATTR_RADIO_ID, {"RADIO_ID", DataType::Uint}},
+    {HWSIM_ATTR_REG_HINT_ALPHA2, {"REG_HINT_ALPHA2", DataType::String}},
+    {HWSIM_ATTR_REG_CUSTOM_REG, {"REG_CUSTOM_REG", DataType::Uint}},
+    {HWSIM_ATTR_REG_STRICT_REG, {"REG_STRICT_REG", DataType::Flag}},
+    {HWSIM_ATTR_SUPPORT_P2P_DEVICE, {"SUPPORT_P2P_DEVICE", DataType::Flag}},
+    {HWSIM_ATTR_USE_CHANCTX, {"USE_CHANCTX", DataType::Flag}},
+    {HWSIM_ATTR_DESTROY_RADIO_ON_CLOSE, {"DESTROY_RADIO_ON_CLOSE", DataType::Flag}},
+    {HWSIM_ATTR_RADIO_NAME, {"RADIO_NAME", DataType::String}},
+    {HWSIM_ATTR_NO_VIF, {"NO_VIF", DataType::Flag}},
+    {HWSIM_ATTR_FREQ, {"FREQ", DataType::Uint}},
+    {HWSIM_ATTR_PAD, {"PAD", DataType::Uint}},
+    {HWSIM_ATTR_TX_INFO_FLAGS, {"TX_INFO_FLAGS"}},  // hwsim_tx_rate_flag
+    {HWSIM_ATTR_PERM_ADDR, {"PERM_ADDR"}},
+    {HWSIM_ATTR_IFTYPE_SUPPORT, {"IFTYPE_SUPPORT", DataType::Uint}},  // NL80211_IFTYPE_STATION etc
+    {HWSIM_ATTR_CIPHER_SUPPORT, {"CIPHER_SUPPORT", DataType::Struct, arrayToStream<int32_t>}},
+}) {}
+// clang-format on
+
+static void hwsim_tx_rateToStream(std::stringstream& ss, const Buffer<nlattr> attr) {
+    ss << '{';
+    bool first = true;
+    for (const auto rate : attr.data<hwsim_tx_rate>().getRaw()) {
+        if (rate.idx == -1) continue;
+
+        ss << (int)rate.idx << ": " << (unsigned)rate.count;
+
+        if (!first) ss << ", ";
+        first = false;
+    }
+    ss << '}';
+}
+
+}  // namespace android::nl::protocols::generic::families
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.h b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.h
new file mode 100644
index 0000000..c01eb93
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.h
@@ -0,0 +1,28 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include "../GenericMessageBase.h"
+
+namespace android::nl::protocols::generic::families {
+
+class Mac80211hwsim : public GenericMessageBase {
+  public:
+    Mac80211hwsim(nlmsgtype_t familyId);
+};
+
+}  // namespace android::nl::protocols::generic::families
diff --git a/automotive/can/1.0/default/libnl++/protocols/structs.cpp b/automotive/can/1.0/default/libnl++/protocols/structs.cpp
new file mode 100644
index 0000000..8ff71f0
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/protocols/structs.cpp
@@ -0,0 +1,57 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "structs.h"
+
+#include <iomanip>
+
+namespace android::nl::protocols {
+
+AttributeDefinition::ToStream flagsToStream(FlagsMap flags) {
+    return [flags](std::stringstream& ss, const Buffer<nlattr> attr) {
+        auto val = attr.data<uint64_t>().copyFirst();
+
+        bool first = true;
+        for (const auto& [flag, name] : flags) {
+            if ((val & flag) != flag) continue;
+            val &= ~flag;
+
+            if (!first) ss << '|';
+            first = false;
+
+            ss << name;
+        }
+
+        if (val == 0) return;
+
+        if (!first) ss << '|';
+        ss << std::hex << val << std::dec;
+    };
+}
+
+void hwaddrToStream(std::stringstream& ss, const Buffer<nlattr> attr) {
+    ss << std::hex;
+    bool first = true;
+    for (const auto byte : attr.data<uint8_t>().getRaw()) {
+        if (!first) ss << ':';
+        first = false;
+
+        ss << std::setw(2) << unsigned(byte);
+    }
+    ss << std::dec;
+}
+
+}  // namespace android::nl::protocols
diff --git a/automotive/can/1.0/default/libnl++/protocols/structs.h b/automotive/can/1.0/default/libnl++/protocols/structs.h
index 44c17b8..f3a8c44 100644
--- a/automotive/can/1.0/default/libnl++/protocols/structs.h
+++ b/automotive/can/1.0/default/libnl++/protocols/structs.h
@@ -16,6 +16,8 @@
 
 #pragma once
 
+#include "MessageDefinition.h"
+
 #include <sstream>
 
 namespace android::nl::protocols {
@@ -30,4 +32,9 @@
     ss << '}';
 }
 
+typedef std::map<uint64_t, std::string> FlagsMap;
+AttributeDefinition::ToStream flagsToStream(FlagsMap flags);
+
+void hwaddrToStream(std::stringstream& ss, const Buffer<nlattr> attr);
+
 }  // namespace android::nl::protocols
diff --git a/automotive/evs/1.1/vts/functional/VtsHalEvsV1_1TargetTest.cpp b/automotive/evs/1.1/vts/functional/VtsHalEvsV1_1TargetTest.cpp
index e56c2d1..a3dc45b 100644
--- a/automotive/evs/1.1/vts/functional/VtsHalEvsV1_1TargetTest.cpp
+++ b/automotive/evs/1.1/vts/functional/VtsHalEvsV1_1TargetTest.cpp
@@ -41,14 +41,14 @@
 #include <utils/Errors.h>
 #include <utils/StrongPointer.h>
 
+#include <android-base/logging.h>
 #include <android/hardware/automotive/evs/1.1/IEvsCamera.h>
 #include <android/hardware/automotive/evs/1.1/IEvsCameraStream.h>
-#include <android/hardware/automotive/evs/1.1/IEvsEnumerator.h>
 #include <android/hardware/automotive/evs/1.1/IEvsDisplay.h>
+#include <android/hardware/automotive/evs/1.1/IEvsEnumerator.h>
 #include <android/hardware/camera/device/3.2/ICameraDevice.h>
-#include <android-base/logging.h>
 #include <system/camera_metadata.h>
-#include <ui/DisplayConfig.h>
+#include <ui/DisplayMode.h>
 #include <ui/DisplayState.h>
 #include <ui/GraphicBuffer.h>
 #include <ui/GraphicBufferAllocator.h>
@@ -622,7 +622,7 @@
         ASSERT_GT(config.size(), 0);
         ASSERT_GT(state.size(), 0);
 
-        android::DisplayConfig* pConfig = (android::DisplayConfig*)config.data();
+        android::ui::DisplayMode* pConfig = (android::ui::DisplayMode*)config.data();
         const auto width = pConfig->resolution.getWidth();
         const auto height = pConfig->resolution.getHeight();
         LOG(INFO) << "    Resolution: " << width << "x" << height;
diff --git a/automotive/occupant_awareness/aidl/default/Android.bp b/automotive/occupant_awareness/aidl/default/Android.bp
index 1b2fba2..1e50930 100644
--- a/automotive/occupant_awareness/aidl/default/Android.bp
+++ b/automotive/occupant_awareness/aidl/default/Android.bp
@@ -27,6 +27,6 @@
         "libbase",
         "libbinder_ndk",
         "libutils",
-        "android.hardware.automotive.occupant_awareness-ndk_platform",
+        "android.hardware.automotive.occupant_awareness-V1-ndk_platform",
     ],
 }
diff --git a/automotive/occupant_awareness/aidl/mock/Android.bp b/automotive/occupant_awareness/aidl/mock/Android.bp
index 4b30866..64ca733 100644
--- a/automotive/occupant_awareness/aidl/mock/Android.bp
+++ b/automotive/occupant_awareness/aidl/mock/Android.bp
@@ -27,6 +27,6 @@
         "libbase",
         "libbinder_ndk",
         "libutils",
-        "android.hardware.automotive.occupant_awareness-ndk_platform",
+        "android.hardware.automotive.occupant_awareness-V1-ndk_platform",
     ],
 }
diff --git a/automotive/occupant_awareness/aidl/vts/functional/Android.bp b/automotive/occupant_awareness/aidl/vts/functional/Android.bp
index 514b0af..dbd0538 100644
--- a/automotive/occupant_awareness/aidl/vts/functional/Android.bp
+++ b/automotive/occupant_awareness/aidl/vts/functional/Android.bp
@@ -9,7 +9,7 @@
         "libbinder",
     ],
     static_libs: [
-        "android.hardware.automotive.occupant_awareness-cpp",
+        "android.hardware.automotive.occupant_awareness-V1-cpp",
     ],
     test_suites: [
         "vts",
diff --git a/automotive/vehicle/2.0/default/Android.bp b/automotive/vehicle/2.0/default/Android.bp
index bbb48e1..c66c9cc 100644
--- a/automotive/vehicle/2.0/default/Android.bp
+++ b/automotive/vehicle/2.0/default/Android.bp
@@ -32,7 +32,7 @@
     defaults: ["vhal_v2_0_defaults"],
     shared_libs: [
         "libbinder_ndk",
-        "android.automotive.watchdog-ndk_platform",
+        "android.automotive.watchdog-V2-ndk_platform",
     ],
 }
 
diff --git a/biometrics/face/aidl/aidl_api/android.hardware.biometrics.face/current/android/hardware/biometrics/face/SensorProps.aidl b/biometrics/face/aidl/aidl_api/android.hardware.biometrics.face/current/android/hardware/biometrics/face/SensorProps.aidl
index 9147bc1..23a8d4d 100644
--- a/biometrics/face/aidl/aidl_api/android.hardware.biometrics.face/current/android/hardware/biometrics/face/SensorProps.aidl
+++ b/biometrics/face/aidl/aidl_api/android.hardware.biometrics.face/current/android/hardware/biometrics/face/SensorProps.aidl
@@ -41,4 +41,5 @@
   float enrollTranslationX;
   float enrollTranslationY;
   float enrollPreviewScale;
+  boolean supportsDetectInteraction;
 }
diff --git a/biometrics/face/aidl/android/hardware/biometrics/face/ISession.aidl b/biometrics/face/aidl/android/hardware/biometrics/face/ISession.aidl
index 25ddd82..f540502 100644
--- a/biometrics/face/aidl/android/hardware/biometrics/face/ISession.aidl
+++ b/biometrics/face/aidl/android/hardware/biometrics/face/ISession.aidl
@@ -196,7 +196,9 @@
     /**
      * detectInteraction:
      *
-     * A request to start looking for faces without performing matching.
+     * A request to start looking for faces without performing matching. Must only be called if
+     * SensorProps#supportsDetectInteraction is true. If invoked on implementations that do not
+     * support this functionality, the HAL must respond with ISession#onError(UNABLE_TO_PROCESS, 0).
      *
      * Once the HAL is able to start processing this request, it must notify the framework via
      * ISessionCallback#onStateChanged with SessionState::DETECTING_INTERACTION.
diff --git a/biometrics/face/aidl/android/hardware/biometrics/face/SensorProps.aidl b/biometrics/face/aidl/android/hardware/biometrics/face/SensorProps.aidl
index 335f2f9..091e322 100644
--- a/biometrics/face/aidl/android/hardware/biometrics/face/SensorProps.aidl
+++ b/biometrics/face/aidl/android/hardware/biometrics/face/SensorProps.aidl
@@ -70,5 +70,10 @@
      * be applied when configuring the preview texture.
      */
     float enrollPreviewScale;
+
+    /**
+     * Specifies whether or not the implementation supports ISession#detectInteraction.
+     */
+    boolean supportsDetectInteraction;
 }
 
diff --git a/biometrics/face/aidl/default/Android.bp b/biometrics/face/aidl/default/Android.bp
index 51a8ef4..a13b8cb 100644
--- a/biometrics/face/aidl/default/Android.bp
+++ b/biometrics/face/aidl/default/Android.bp
@@ -7,8 +7,8 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.biometrics.face-ndk_platform",
-        "android.hardware.biometrics.common-unstable-ndk_platform",
+        "android.hardware.biometrics.face-V1-ndk_platform",
+        "android.hardware.biometrics.common-V1-ndk_platform",
     ],
     srcs: [
         "main.cpp",
diff --git a/biometrics/face/aidl/vts/Android.bp b/biometrics/face/aidl/vts/Android.bp
index 427b878..a4c76f5 100644
--- a/biometrics/face/aidl/vts/Android.bp
+++ b/biometrics/face/aidl/vts/Android.bp
@@ -7,7 +7,7 @@
     srcs: ["VtsHalBiometricsFaceTargetTest.cpp"],
     shared_libs: [
         "libbinder_ndk",
-        "android.hardware.biometrics.face-ndk_platform",
+        "android.hardware.biometrics.face-V1-ndk_platform",
     ],
     test_suites: [
         "general-tests",
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/AcquiredInfo.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/AcquiredInfo.aidl
index 7d8c034..189095a 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/AcquiredInfo.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/AcquiredInfo.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/Error.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/Error.aidl
index aec499f..cdbc2d2 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/Error.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/Error.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/FingerprintSensorType.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/FingerprintSensorType.aidl
index 784e1d0..c81cad2 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/FingerprintSensorType.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/FingerprintSensorType.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/IFingerprint.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/IFingerprint.aidl
index 51b4c63..c5a5422 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/IFingerprint.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/IFingerprint.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISession.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISession.aidl
index 185d86f..be0029c 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISession.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISession.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISessionCallback.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISessionCallback.aidl
index cf663a5..f20f153 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISessionCallback.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/ISessionCallback.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SensorProps.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SensorProps.aidl
index f8a40a9..c3daacd 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SensorProps.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SensorProps.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
@@ -26,4 +40,5 @@
   int sensorLocationY;
   int sensorRadius;
   int displayId;
+  boolean supportsDetectInteraction;
 }
diff --git a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SessionState.aidl b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SessionState.aidl
index 3453f93..44323ff 100644
--- a/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SessionState.aidl
+++ b/biometrics/fingerprint/aidl/aidl_api/android.hardware.biometrics.fingerprint/current/android/hardware/biometrics/fingerprint/SessionState.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/ISession.aidl b/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/ISession.aidl
index 09bd04d..f9c3732 100644
--- a/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/ISession.aidl
+++ b/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/ISession.aidl
@@ -191,7 +191,9 @@
     /**
      * detectInteraction:
      *
-     * A request to start looking for fingerprints without performing matching.
+     * A request to start looking for fingerprints without performing matching. Must only be called
+     * if SensorProps#supportsDetectInteraction is true. If invoked on implementations that do not
+     * support this functionality, the HAL must respond with ISession#onError(UNABLE_TO_PROCESS, 0).
      *
      * Once the HAL is able to start processing this request, it must notify the framework via
      * ISessionCallback#onStateChanged with SessionState::DETECTING_INTERACTION.
diff --git a/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/SensorProps.aidl b/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/SensorProps.aidl
index ab70a58..afed175 100644
--- a/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/SensorProps.aidl
+++ b/biometrics/fingerprint/aidl/android/hardware/biometrics/fingerprint/SensorProps.aidl
@@ -63,5 +63,10 @@
      * android.hardware.DisplayManager#getDisplay Android API.
      */
     int displayId;
+
+    /**
+     * Specifies whether or not the implementation supports ISession#detectInteraction.
+     */
+    boolean supportsDetectInteraction;
 }
 
diff --git a/biometrics/fingerprint/aidl/default/Android.bp b/biometrics/fingerprint/aidl/default/Android.bp
index ce1ff59..c8cb663 100644
--- a/biometrics/fingerprint/aidl/default/Android.bp
+++ b/biometrics/fingerprint/aidl/default/Android.bp
@@ -7,8 +7,8 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.biometrics.fingerprint-ndk_platform",
-        "android.hardware.biometrics.common-unstable-ndk_platform",
+        "android.hardware.biometrics.fingerprint-V1-ndk_platform",
+        "android.hardware.biometrics.common-V1-ndk_platform",
     ],
     srcs: [
         "main.cpp",
diff --git a/biometrics/fingerprint/aidl/vts/Android.bp b/biometrics/fingerprint/aidl/vts/Android.bp
index b441eb3..07bccb5 100644
--- a/biometrics/fingerprint/aidl/vts/Android.bp
+++ b/biometrics/fingerprint/aidl/vts/Android.bp
@@ -7,7 +7,7 @@
     srcs: ["VtsHalBiometricsFingerprintTargetTest.cpp"],
     shared_libs: [
         "libbinder_ndk",
-        "android.hardware.biometrics.fingerprint-ndk_platform",
+        "android.hardware.biometrics.fingerprint-V1-ndk_platform",
     ],
     test_suites: [
         "general-tests",
diff --git a/bluetooth/audio/2.0/default/Android.bp b/bluetooth/audio/2.0/default/Android.bp
index 0db0028..8ed631e 100644
--- a/bluetooth/audio/2.0/default/Android.bp
+++ b/bluetooth/audio/2.0/default/Android.bp
@@ -23,24 +23,3 @@
         "libutils",
     ],
 }
-
-cc_library_shared {
-    name: "libbluetooth_audio_session",
-    defaults: ["hidl_defaults"],
-    vendor: true,
-    srcs: [
-        "session/BluetoothAudioSession.cpp",
-        "session/BluetoothAudioSupportedCodecsDB.cpp",
-    ],
-    export_include_dirs: ["session/"],
-    header_libs: ["libhardware_headers"],
-    shared_libs: [
-        "android.hardware.bluetooth.audio@2.0",
-        "libbase",
-        "libcutils",
-        "libfmq",
-        "libhidlbase",
-        "liblog",
-        "libutils",
-    ],
-}
diff --git a/bluetooth/audio/2.1/default/A2dpOffloadAudioProvider.cpp b/bluetooth/audio/2.1/default/A2dpOffloadAudioProvider.cpp
index b4a61b6..3fe1a4d 100644
--- a/bluetooth/audio/2.1/default/A2dpOffloadAudioProvider.cpp
+++ b/bluetooth/audio/2.1/default/A2dpOffloadAudioProvider.cpp
@@ -22,8 +22,8 @@
 #include <fmq/MessageQueue.h>
 #include <hidl/MQDescriptor.h>
 
-#include "BluetoothAudioSessionReport.h"
-#include "BluetoothAudioSupportedCodecsDB.h"
+#include "BluetoothAudioSessionReport_2_1.h"
+#include "BluetoothAudioSupportedCodecsDB_2_1.h"
 
 namespace android {
 namespace hardware {
@@ -32,7 +32,7 @@
 namespace V2_1 {
 namespace implementation {
 
-using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::bluetooth::audio::BluetoothAudioSessionReport_2_1;
 using ::android::hardware::kSynchronizedReadWrite;
 using ::android::hardware::MessageQueue;
 using ::android::hardware::Void;
@@ -81,8 +81,8 @@
 
 Return<void> A2dpOffloadAudioProvider::onSessionReady(
     startSession_cb _hidl_cb) {
-  BluetoothAudioSessionReport::OnSessionStarted(session_type_, stack_iface_,
-                                                nullptr, audio_config_);
+  BluetoothAudioSessionReport_2_1::OnSessionStarted(session_type_, stack_iface_,
+                                                    nullptr, audio_config_);
   _hidl_cb(BluetoothAudioStatus::SUCCESS, DataMQ::Descriptor());
   return Void();
 }
diff --git a/bluetooth/audio/2.1/default/A2dpSoftwareAudioProvider.cpp b/bluetooth/audio/2.1/default/A2dpSoftwareAudioProvider.cpp
index a67c341..a37176b 100644
--- a/bluetooth/audio/2.1/default/A2dpSoftwareAudioProvider.cpp
+++ b/bluetooth/audio/2.1/default/A2dpSoftwareAudioProvider.cpp
@@ -20,8 +20,8 @@
 
 #include <android-base/logging.h>
 
-#include "BluetoothAudioSessionReport.h"
-#include "BluetoothAudioSupportedCodecsDB.h"
+#include "BluetoothAudioSessionReport_2_1.h"
+#include "BluetoothAudioSupportedCodecsDB_2_1.h"
 
 namespace android {
 namespace hardware {
@@ -30,7 +30,7 @@
 namespace V2_1 {
 namespace implementation {
 
-using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::bluetooth::audio::BluetoothAudioSessionReport_2_1;
 using ::android::hardware::Void;
 using ::android::hardware::bluetooth::audio::V2_0::AudioConfiguration;
 
@@ -96,7 +96,7 @@
 Return<void> A2dpSoftwareAudioProvider::onSessionReady(
     startSession_cb _hidl_cb) {
   if (mDataMQ && mDataMQ->isValid()) {
-    BluetoothAudioSessionReport::OnSessionStarted(
+    BluetoothAudioSessionReport_2_1::OnSessionStarted(
         session_type_, stack_iface_, mDataMQ->getDesc(), audio_config_);
     _hidl_cb(BluetoothAudioStatus::SUCCESS, *mDataMQ->getDesc());
   } else {
diff --git a/bluetooth/audio/2.1/default/Android.bp b/bluetooth/audio/2.1/default/Android.bp
index 5381fec..c05aa3f 100644
--- a/bluetooth/audio/2.1/default/Android.bp
+++ b/bluetooth/audio/2.1/default/Android.bp
@@ -16,29 +16,7 @@
         "android.hardware.bluetooth.audio@2.0",
         "android.hardware.bluetooth.audio@2.1",
         "libbase",
-        "libbluetooth_audio_session_2_1",
-        "libcutils",
-        "libfmq",
-        "libhidlbase",
-        "liblog",
-        "libutils",
-    ],
-}
-
-cc_library_shared {
-    name: "libbluetooth_audio_session_2_1",
-    defaults: ["hidl_defaults"],
-    vendor: true,
-    srcs: [
-        "session/BluetoothAudioSession.cpp",
-        "session/BluetoothAudioSupportedCodecsDB.cpp",
-    ],
-    export_include_dirs: ["session/"],
-    header_libs: ["libhardware_headers"],
-    shared_libs: [
-        "android.hardware.bluetooth.audio@2.0",
-        "android.hardware.bluetooth.audio@2.1",
-        "libbase",
+        "libbluetooth_audio_session",
         "libcutils",
         "libfmq",
         "libhidlbase",
diff --git a/bluetooth/audio/2.1/default/BluetoothAudioProvider.cpp b/bluetooth/audio/2.1/default/BluetoothAudioProvider.cpp
index 73fe06c..38889ae 100644
--- a/bluetooth/audio/2.1/default/BluetoothAudioProvider.cpp
+++ b/bluetooth/audio/2.1/default/BluetoothAudioProvider.cpp
@@ -20,8 +20,8 @@
 
 #include <android-base/logging.h>
 
-#include "BluetoothAudioSessionReport.h"
-#include "BluetoothAudioSupportedCodecsDB.h"
+#include "BluetoothAudioSessionReport_2_1.h"
+#include "BluetoothAudioSupportedCodecsDB_2_1.h"
 
 namespace android {
 namespace hardware {
@@ -30,7 +30,7 @@
 namespace V2_1 {
 namespace implementation {
 
-using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::bluetooth::audio::BluetoothAudioSessionReport_2_1;
 using ::android::hardware::kSynchronizedReadWrite;
 using ::android::hardware::MessageQueue;
 using ::android::hardware::Void;
@@ -105,8 +105,8 @@
    * HAL server should start the streaming on data path.
    */
   if (stack_iface_) {
-    BluetoothAudioSessionReport::ReportControlStatus(session_type_, true,
-                                                     status);
+    BluetoothAudioSessionReport_2_1::ReportControlStatus(session_type_, true,
+                                                         status);
   } else {
     LOG(WARNING) << __func__ << " - SessionType=" << toString(session_type_)
                  << ", status=" << toString(status) << " has NO session";
@@ -125,8 +125,8 @@
    * HAL server should suspend the streaming on data path.
    */
   if (stack_iface_) {
-    BluetoothAudioSessionReport::ReportControlStatus(session_type_, false,
-                                                     status);
+    BluetoothAudioSessionReport_2_1::ReportControlStatus(session_type_, false,
+                                                         status);
   } else {
     LOG(WARNING) << __func__ << " - SessionType=" << toString(session_type_)
                  << ", status=" << toString(status) << " has NO session";
@@ -139,7 +139,7 @@
   LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_);
 
   if (stack_iface_) {
-    BluetoothAudioSessionReport::OnSessionEnded(session_type_);
+    BluetoothAudioSessionReport_2_1::OnSessionEnded(session_type_);
     stack_iface_->unlinkToDeath(death_recipient_);
   } else {
     LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
diff --git a/bluetooth/audio/2.1/default/BluetoothAudioProvidersFactory.cpp b/bluetooth/audio/2.1/default/BluetoothAudioProvidersFactory.cpp
index adf2717..e1b1ac6 100644
--- a/bluetooth/audio/2.1/default/BluetoothAudioProvidersFactory.cpp
+++ b/bluetooth/audio/2.1/default/BluetoothAudioProvidersFactory.cpp
@@ -20,7 +20,7 @@
 
 #include <android-base/logging.h>
 
-#include "BluetoothAudioSupportedCodecsDB.h"
+#include "BluetoothAudioSupportedCodecsDB_2_1.h"
 
 namespace android {
 namespace hardware {
diff --git a/bluetooth/audio/2.1/default/HearingAidAudioProvider.cpp b/bluetooth/audio/2.1/default/HearingAidAudioProvider.cpp
index aded7e1..712bd4f 100644
--- a/bluetooth/audio/2.1/default/HearingAidAudioProvider.cpp
+++ b/bluetooth/audio/2.1/default/HearingAidAudioProvider.cpp
@@ -20,8 +20,8 @@
 
 #include <android-base/logging.h>
 
-#include "BluetoothAudioSessionReport.h"
-#include "BluetoothAudioSupportedCodecsDB.h"
+#include "BluetoothAudioSessionReport_2_1.h"
+#include "BluetoothAudioSupportedCodecsDB_2_1.h"
 
 namespace android {
 namespace hardware {
@@ -30,7 +30,7 @@
 namespace V2_1 {
 namespace implementation {
 
-using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::bluetooth::audio::BluetoothAudioSessionReport_2_1;
 using ::android::hardware::Void;
 using ::android::hardware::bluetooth::audio::V2_0::AudioConfiguration;
 
@@ -95,7 +95,7 @@
 
 Return<void> HearingAidAudioProvider::onSessionReady(startSession_cb _hidl_cb) {
   if (mDataMQ && mDataMQ->isValid()) {
-    BluetoothAudioSessionReport::OnSessionStarted(
+    BluetoothAudioSessionReport_2_1::OnSessionStarted(
         session_type_, stack_iface_, mDataMQ->getDesc(), audio_config_);
     _hidl_cb(BluetoothAudioStatus::SUCCESS, *mDataMQ->getDesc());
   } else {
diff --git a/bluetooth/audio/2.1/default/LeAudioAudioProvider.cpp b/bluetooth/audio/2.1/default/LeAudioAudioProvider.cpp
index 9c2b4fe..2ebf6c5 100644
--- a/bluetooth/audio/2.1/default/LeAudioAudioProvider.cpp
+++ b/bluetooth/audio/2.1/default/LeAudioAudioProvider.cpp
@@ -21,8 +21,8 @@
 
 #include <android-base/logging.h>
 
-#include "BluetoothAudioSessionReport.h"
-#include "BluetoothAudioSupportedCodecsDB.h"
+#include "BluetoothAudioSessionReport_2_1.h"
+#include "BluetoothAudioSupportedCodecsDB_2_1.h"
 
 namespace android {
 namespace hardware {
@@ -31,7 +31,7 @@
 namespace V2_1 {
 namespace implementation {
 
-using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::bluetooth::audio::BluetoothAudioSessionReport_2_1;
 using ::android::hardware::Void;
 using ::android::hardware::bluetooth::audio::V2_0::BitsPerSample;
 using ::android::hardware::bluetooth::audio::V2_0::ChannelMode;
@@ -179,7 +179,7 @@
 
 Return<void> LeAudioAudioProvider::onSessionReady(startSession_cb _hidl_cb) {
   if (mDataMQ && mDataMQ->isValid()) {
-    BluetoothAudioSessionReport::OnSessionStarted(
+    BluetoothAudioSessionReport_2_1::OnSessionStarted(
         session_type_, stack_iface_, mDataMQ->getDesc(), audio_config_);
     _hidl_cb(BluetoothAudioStatus::SUCCESS, *mDataMQ->getDesc());
   } else {
diff --git a/bluetooth/audio/2.1/default/session/BluetoothAudioSession.cpp b/bluetooth/audio/2.1/default/session/BluetoothAudioSession.cpp
deleted file mode 100644
index ea2c54a..0000000
--- a/bluetooth/audio/2.1/default/session/BluetoothAudioSession.cpp
+++ /dev/null
@@ -1,467 +0,0 @@
-/*
- * Copyright 2020 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "BTAudioProviderSession"
-
-#include "BluetoothAudioSession.h"
-
-#include <android-base/logging.h>
-#include <android-base/stringprintf.h>
-
-namespace android {
-namespace bluetooth {
-namespace audio {
-
-using ::android::hardware::audio::common::V5_0::AudioContentType;
-using ::android::hardware::audio::common::V5_0::AudioUsage;
-using ::android::hardware::audio::common::V5_0::PlaybackTrackMetadata;
-using ::android::hardware::audio::common::V5_0::SourceMetadata;
-using ::android::hardware::bluetooth::audio::V2_0::CodecType;
-using ::android::hardware::bluetooth::audio::V2_0::TimeSpec;
-
-const CodecConfiguration BluetoothAudioSession::kInvalidCodecConfiguration = {
-    .codecType = CodecType::UNKNOWN,
-    .encodedAudioBitrate = 0x00000000,
-    .peerMtu = 0xffff,
-    .isScmstEnabled = false,
-    .config = {}};
-AudioConfiguration BluetoothAudioSession::invalidSoftwareAudioConfiguration =
-    {};
-AudioConfiguration BluetoothAudioSession::invalidOffloadAudioConfiguration = {};
-
-static constexpr int kFmqSendTimeoutMs = 1000;  // 1000 ms timeout for sending
-static constexpr int kFmqReceiveTimeoutMs =
-    1000;                               // 1000 ms timeout for receiving
-static constexpr int kWritePollMs = 1;  // polled non-blocking interval
-static constexpr int kReadPollMs = 1;   // polled non-blocking interval
-
-static inline timespec timespec_convert_from_hal(const TimeSpec& TS) {
-  return {.tv_sec = static_cast<long>(TS.tvSec),
-          .tv_nsec = static_cast<long>(TS.tvNSec)};
-}
-
-BluetoothAudioSession::BluetoothAudioSession(const SessionType& session_type)
-    : session_type_(session_type), stack_iface_(nullptr), mDataMQ(nullptr) {
-  invalidSoftwareAudioConfiguration.pcmConfig(kInvalidPcmParameters);
-  invalidOffloadAudioConfiguration.codecConfig(kInvalidCodecConfiguration);
-}
-
-// The report function is used to report that the Bluetooth stack has started
-// this session without any failure, and will invoke session_changed_cb_ to
-// notify those registered bluetooth_audio outputs
-void BluetoothAudioSession::OnSessionStarted(
-    const sp<IBluetoothAudioPort> stack_iface, const DataMQ::Descriptor* dataMQ,
-    const AudioConfiguration& audio_config) {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (stack_iface == nullptr) {
-    LOG(ERROR) << __func__ << " - SessionType=" << toString(session_type_)
-               << ", IBluetoothAudioPort Invalid";
-  } else if (!UpdateAudioConfig(audio_config)) {
-    LOG(ERROR) << __func__ << " - SessionType=" << toString(session_type_)
-               << ", AudioConfiguration=" << toString(audio_config)
-               << " Invalid";
-  } else if (!UpdateDataPath(dataMQ)) {
-    LOG(ERROR) << __func__ << " - SessionType=" << toString(session_type_)
-               << " DataMQ Invalid";
-    audio_config_ =
-        (session_type_ == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH
-             ? kInvalidOffloadAudioConfiguration
-             : kInvalidSoftwareAudioConfiguration);
-  } else {
-    stack_iface_ = stack_iface;
-    LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
-              << ", AudioConfiguration=" << toString(audio_config);
-    ReportSessionStatus();
-  }
-}
-
-// The report function is used to report that the Bluetooth stack has ended the
-// session, and will invoke session_changed_cb_ to notify registered
-// bluetooth_audio outputs
-void BluetoothAudioSession::OnSessionEnded() {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  bool toggled = IsSessionReady();
-  LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_);
-  audio_config_ = (session_type_ == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH
-                       ? kInvalidOffloadAudioConfiguration
-                       : kInvalidSoftwareAudioConfiguration);
-  stack_iface_ = nullptr;
-  UpdateDataPath(nullptr);
-  if (toggled) {
-    ReportSessionStatus();
-  }
-}
-
-// invoking the registered session_changed_cb_
-void BluetoothAudioSession::ReportSessionStatus() {
-  // This is locked already by OnSessionStarted / OnSessionEnded
-  if (observers_.empty()) {
-    LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
-              << " has NO port state observer";
-    return;
-  }
-  for (auto& observer : observers_) {
-    uint16_t cookie = observer.first;
-    std::shared_ptr<struct PortStatusCallbacks> cb = observer.second;
-    LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
-              << " notify to bluetooth_audio=0x"
-              << android::base::StringPrintf("%04x", cookie);
-    cb->session_changed_cb_(cookie);
-  }
-}
-
-// The report function is used to report that the Bluetooth stack has notified
-// the result of startStream or suspendStream, and will invoke
-// control_result_cb_ to notify registered bluetooth_audio outputs
-void BluetoothAudioSession::ReportControlStatus(
-    bool start_resp, const BluetoothAudioStatus& status) {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (observers_.empty()) {
-    LOG(WARNING) << __func__ << " - SessionType=" << toString(session_type_)
-                 << " has NO port state observer";
-    return;
-  }
-  for (auto& observer : observers_) {
-    uint16_t cookie = observer.first;
-    std::shared_ptr<struct PortStatusCallbacks> cb = observer.second;
-    LOG(INFO) << __func__ << " - status=" << toString(status)
-              << " for SessionType=" << toString(session_type_)
-              << ", bluetooth_audio=0x"
-              << android::base::StringPrintf("%04x", cookie)
-              << (start_resp ? " started" : " suspended");
-    cb->control_result_cb_(cookie, start_resp, status);
-  }
-}
-
-// The function helps to check if this session is ready or not
-// @return: true if the Bluetooth stack has started the specified session
-bool BluetoothAudioSession::IsSessionReady() {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  bool dataMQ_valid =
-      (session_type_ == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH ||
-       (mDataMQ != nullptr && mDataMQ->isValid()));
-  return stack_iface_ != nullptr && dataMQ_valid;
-}
-
-bool BluetoothAudioSession::UpdateDataPath(const DataMQ::Descriptor* dataMQ) {
-  if (dataMQ == nullptr) {
-    // usecase of reset by nullptr
-    mDataMQ = nullptr;
-    return true;
-  }
-  std::unique_ptr<DataMQ> tempDataMQ;
-  tempDataMQ.reset(new DataMQ(*dataMQ));
-  if (!tempDataMQ || !tempDataMQ->isValid()) {
-    mDataMQ = nullptr;
-    return false;
-  }
-  mDataMQ = std::move(tempDataMQ);
-  return true;
-}
-
-bool BluetoothAudioSession::UpdateAudioConfig(
-    const AudioConfiguration& audio_config) {
-  bool is_software_session =
-      (session_type_ == SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH ||
-       session_type_ == SessionType::HEARING_AID_SOFTWARE_ENCODING_DATAPATH ||
-       session_type_ == SessionType::LE_AUDIO_SOFTWARE_ENCODING_DATAPATH ||
-       session_type_ == SessionType::LE_AUDIO_SOFTWARE_DECODED_DATAPATH);
-  bool is_offload_session =
-      (session_type_ == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH);
-  auto audio_config_discriminator = audio_config.getDiscriminator();
-  bool is_software_audio_config =
-      (is_software_session &&
-       audio_config_discriminator ==
-           AudioConfiguration::hidl_discriminator::pcmConfig);
-  bool is_offload_audio_config =
-      (is_offload_session &&
-       audio_config_discriminator ==
-           AudioConfiguration::hidl_discriminator::codecConfig);
-  if (!is_software_audio_config && !is_offload_audio_config) {
-    return false;
-  }
-  audio_config_ = audio_config;
-  return true;
-}
-
-// The control function helps the bluetooth_audio module to register
-// PortStatusCallbacks
-// @return: cookie - the assigned number to this bluetooth_audio output
-uint16_t BluetoothAudioSession::RegisterStatusCback(
-    const PortStatusCallbacks& cbacks) {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  uint16_t cookie = ObserversCookieGetInitValue(session_type_);
-  uint16_t cookie_upper_bound = ObserversCookieGetUpperBound(session_type_);
-
-  while (cookie < cookie_upper_bound) {
-    if (observers_.find(cookie) == observers_.end()) {
-      break;
-    }
-    ++cookie;
-  }
-  if (cookie >= cookie_upper_bound) {
-    LOG(ERROR) << __func__ << " - SessionType=" << toString(session_type_)
-               << " has " << observers_.size()
-               << " observers already (No Resource)";
-    return kObserversCookieUndefined;
-  }
-  std::shared_ptr<struct PortStatusCallbacks> cb =
-      std::make_shared<struct PortStatusCallbacks>();
-  *cb = cbacks;
-  observers_[cookie] = cb;
-  return cookie;
-}
-
-// The control function helps the bluetooth_audio module to unregister
-// PortStatusCallbacks
-// @param: cookie - indicates which bluetooth_audio output is
-void BluetoothAudioSession::UnregisterStatusCback(uint16_t cookie) {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (observers_.erase(cookie) != 1) {
-    LOG(WARNING) << __func__ << " - SessionType=" << toString(session_type_)
-                 << " no such provider=0x"
-                 << android::base::StringPrintf("%04x", cookie);
-  }
-}
-
-// The control function is for the bluetooth_audio module to get the current
-// AudioConfiguration
-const AudioConfiguration& BluetoothAudioSession::GetAudioConfig() {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (IsSessionReady()) {
-    return audio_config_;
-  } else if (session_type_ == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
-    return kInvalidOffloadAudioConfiguration;
-  } else {
-    return kInvalidSoftwareAudioConfiguration;
-  }
-}
-
-// Those control functions are for the bluetooth_audio module to start, suspend,
-// stop stream, to check position, and to update metadata.
-bool BluetoothAudioSession::StartStream() {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (!IsSessionReady()) {
-    LOG(DEBUG) << __func__ << " - SessionType=" << toString(session_type_)
-               << " has NO session";
-    return false;
-  }
-  auto hal_retval = stack_iface_->startStream();
-  if (!hal_retval.isOk()) {
-    LOG(WARNING) << __func__ << " - IBluetoothAudioPort SessionType="
-                 << toString(session_type_) << " failed";
-    return false;
-  }
-  return true;
-}
-
-bool BluetoothAudioSession::SuspendStream() {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (!IsSessionReady()) {
-    LOG(DEBUG) << __func__ << " - SessionType=" << toString(session_type_)
-               << " has NO session";
-    return false;
-  }
-  auto hal_retval = stack_iface_->suspendStream();
-  if (!hal_retval.isOk()) {
-    LOG(WARNING) << __func__ << " - IBluetoothAudioPort SessionType="
-                 << toString(session_type_) << " failed";
-    return false;
-  }
-  return true;
-}
-
-void BluetoothAudioSession::StopStream() {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (!IsSessionReady()) {
-    return;
-  }
-  auto hal_retval = stack_iface_->stopStream();
-  if (!hal_retval.isOk()) {
-    LOG(WARNING) << __func__ << " - IBluetoothAudioPort SessionType="
-                 << toString(session_type_) << " failed";
-  }
-}
-
-bool BluetoothAudioSession::GetPresentationPosition(
-    uint64_t* remote_delay_report_ns, uint64_t* total_bytes_readed,
-    timespec* data_position) {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (!IsSessionReady()) {
-    LOG(DEBUG) << __func__ << " - SessionType=" << toString(session_type_)
-               << " has NO session";
-    return false;
-  }
-  bool retval = false;
-  auto hal_retval = stack_iface_->getPresentationPosition(
-      [&retval, &remote_delay_report_ns, &total_bytes_readed, &data_position](
-          BluetoothAudioStatus status,
-          const uint64_t& remoteDeviceAudioDelayNanos,
-          uint64_t transmittedOctets,
-          const TimeSpec& transmittedOctetsTimeStamp) {
-        if (status == BluetoothAudioStatus::SUCCESS) {
-          if (remote_delay_report_ns)
-            *remote_delay_report_ns = remoteDeviceAudioDelayNanos;
-          if (total_bytes_readed) *total_bytes_readed = transmittedOctets;
-          if (data_position)
-            *data_position =
-                timespec_convert_from_hal(transmittedOctetsTimeStamp);
-          retval = true;
-        }
-      });
-  if (!hal_retval.isOk()) {
-    LOG(WARNING) << __func__ << " - IBluetoothAudioPort SessionType="
-                 << toString(session_type_) << " failed";
-    return false;
-  }
-  return retval;
-}
-
-void BluetoothAudioSession::UpdateTracksMetadata(
-    const struct source_metadata* source_metadata) {
-  std::lock_guard<std::recursive_mutex> guard(mutex_);
-  if (!IsSessionReady()) {
-    LOG(DEBUG) << __func__ << " - SessionType=" << toString(session_type_)
-               << " has NO session";
-    return;
-  }
-
-  ssize_t track_count = source_metadata->track_count;
-  LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_) << ", "
-            << track_count << " track(s)";
-  if (session_type_ == SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH ||
-      session_type_ == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
-    return;
-  }
-
-  struct playback_track_metadata* track = source_metadata->tracks;
-  SourceMetadata sourceMetadata;
-  PlaybackTrackMetadata* halMetadata;
-
-  sourceMetadata.tracks.resize(track_count);
-  halMetadata = sourceMetadata.tracks.data();
-  while (track_count && track) {
-    halMetadata->usage = static_cast<AudioUsage>(track->usage);
-    halMetadata->contentType =
-        static_cast<AudioContentType>(track->content_type);
-    halMetadata->gain = track->gain;
-    LOG(VERBOSE) << __func__ << " - SessionType=" << toString(session_type_)
-                 << ", usage=" << toString(halMetadata->usage)
-                 << ", content=" << toString(halMetadata->contentType)
-                 << ", gain=" << halMetadata->gain;
-    --track_count;
-    ++track;
-    ++halMetadata;
-  }
-  auto hal_retval = stack_iface_->updateMetadata(sourceMetadata);
-  if (!hal_retval.isOk()) {
-    LOG(WARNING) << __func__ << " - IBluetoothAudioPort SessionType="
-                 << toString(session_type_) << " failed";
-  }
-}
-
-// The control function writes stream to FMQ
-size_t BluetoothAudioSession::OutWritePcmData(const void* buffer,
-                                              size_t bytes) {
-  if (buffer == nullptr || !bytes) return 0;
-  size_t totalWritten = 0;
-  int ms_timeout = kFmqSendTimeoutMs;
-  do {
-    std::unique_lock<std::recursive_mutex> lock(mutex_);
-    if (!IsSessionReady()) break;
-    size_t availableToWrite = mDataMQ->availableToWrite();
-    if (availableToWrite) {
-      if (availableToWrite > (bytes - totalWritten)) {
-        availableToWrite = bytes - totalWritten;
-      }
-
-      if (!mDataMQ->write(static_cast<const uint8_t*>(buffer) + totalWritten,
-                          availableToWrite)) {
-        ALOGE("FMQ datapath writing %zu/%zu failed", totalWritten, bytes);
-        return totalWritten;
-      }
-      totalWritten += availableToWrite;
-    } else if (ms_timeout >= kWritePollMs) {
-      lock.unlock();
-      usleep(kWritePollMs * 1000);
-      ms_timeout -= kWritePollMs;
-    } else {
-      ALOGD("out data %zu/%zu overflow %d ms", totalWritten, bytes,
-            (kFmqSendTimeoutMs - ms_timeout));
-      return totalWritten;
-    }
-  } while (totalWritten < bytes);
-  return totalWritten;
-}
-
-// The control function reads stream from FMQ
-size_t BluetoothAudioSession::InReadPcmData(void* buffer, size_t bytes) {
-  if (buffer == nullptr || !bytes) return 0;
-  size_t totalRead = 0;
-  int ms_timeout = kFmqReceiveTimeoutMs;
-  do {
-    std::unique_lock<std::recursive_mutex> lock(mutex_);
-    if (!IsSessionReady()) break;
-    size_t availableToRead = mDataMQ->availableToRead();
-    if (availableToRead) {
-      if (availableToRead > (bytes - totalRead)) {
-        availableToRead = bytes - totalRead;
-      }
-      if (!mDataMQ->read(static_cast<uint8_t*>(buffer) + totalRead,
-                         availableToRead)) {
-        ALOGE("FMQ datapath reading %zu/%zu failed", totalRead, bytes);
-        return totalRead;
-      }
-      totalRead += availableToRead;
-    } else if (ms_timeout >= kReadPollMs) {
-      lock.unlock();
-      usleep(kReadPollMs * 1000);
-      ms_timeout -= kReadPollMs;
-      continue;
-    } else {
-      ALOGD("in data %zu/%zu overflow %d ms", totalRead, bytes,
-            (kFmqReceiveTimeoutMs - ms_timeout));
-      return totalRead;
-    }
-  } while (totalRead < bytes);
-  return totalRead;
-}
-
-std::unique_ptr<BluetoothAudioSessionInstance>
-    BluetoothAudioSessionInstance::instance_ptr =
-        std::unique_ptr<BluetoothAudioSessionInstance>(
-            new BluetoothAudioSessionInstance());
-
-// API to fetch the session
-std::shared_ptr<BluetoothAudioSession>
-BluetoothAudioSessionInstance::GetSessionInstance(
-    const SessionType& session_type) {
-  std::lock_guard<std::mutex> guard(instance_ptr->mutex_);
-  if (!instance_ptr->sessions_map_.empty()) {
-    auto entry = instance_ptr->sessions_map_.find(session_type);
-    if (entry != instance_ptr->sessions_map_.end()) {
-      return entry->second;
-    }
-  }
-  std::shared_ptr<BluetoothAudioSession> session_ptr =
-      std::make_shared<BluetoothAudioSession>(session_type);
-  instance_ptr->sessions_map_[session_type] = session_ptr;
-  return session_ptr;
-}
-
-}  // namespace audio
-}  // namespace bluetooth
-}  // namespace android
diff --git a/bluetooth/audio/2.1/default/session/BluetoothAudioSession.h b/bluetooth/audio/2.1/default/session/BluetoothAudioSession.h
deleted file mode 100644
index 7bc12e6..0000000
--- a/bluetooth/audio/2.1/default/session/BluetoothAudioSession.h
+++ /dev/null
@@ -1,190 +0,0 @@
-/*
- * Copyright 2020 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#pragma once
-
-#include <mutex>
-#include <unordered_map>
-
-#include <android/hardware/bluetooth/audio/2.0/IBluetoothAudioPort.h>
-#include <android/hardware/bluetooth/audio/2.1/types.h>
-#include <fmq/MessageQueue.h>
-#include <hardware/audio.h>
-#include <hidl/MQDescriptor.h>
-
-namespace android {
-namespace bluetooth {
-namespace audio {
-
-using ::android::sp;
-using ::android::hardware::kSynchronizedReadWrite;
-using ::android::hardware::MessageQueue;
-using ::android::hardware::bluetooth::audio::V2_0::BitsPerSample;
-using ::android::hardware::bluetooth::audio::V2_0::ChannelMode;
-using ::android::hardware::bluetooth::audio::V2_0::CodecConfiguration;
-using ::android::hardware::bluetooth::audio::V2_0::IBluetoothAudioPort;
-using ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration;
-using ::android::hardware::bluetooth::audio::V2_1::PcmParameters;
-using ::android::hardware::bluetooth::audio::V2_1::SampleRate;
-using ::android::hardware::bluetooth::audio::V2_1::SessionType;
-
-using BluetoothAudioStatus =
-    ::android::hardware::bluetooth::audio::V2_0::Status;
-
-using DataMQ = MessageQueue<uint8_t, kSynchronizedReadWrite>;
-
-static constexpr uint16_t kObserversCookieSize = 0x0010;  // 0x0000 ~ 0x000f
-constexpr uint16_t kObserversCookieUndefined =
-    (static_cast<uint16_t>(SessionType::UNKNOWN) << 8 & 0xff00);
-inline SessionType ObserversCookieGetSessionType(uint16_t cookie) {
-  return static_cast<SessionType>(cookie >> 8 & 0x00ff);
-}
-inline uint16_t ObserversCookieGetInitValue(SessionType session_type) {
-  return (static_cast<uint16_t>(session_type) << 8 & 0xff00);
-}
-inline uint16_t ObserversCookieGetUpperBound(SessionType session_type) {
-  return (static_cast<uint16_t>(session_type) << 8 & 0xff00) +
-         kObserversCookieSize;
-}
-
-// This presents the callbacks of started / suspended and session changed,
-// and the bluetooth_audio module uses to receive the status notification
-struct PortStatusCallbacks {
-  // control_result_cb_ - when the Bluetooth stack reports results of
-  // streamStarted or streamSuspended, the BluetoothAudioProvider will invoke
-  // this callback to report to the bluetooth_audio module.
-  // @param: cookie - indicates which bluetooth_audio output should handle
-  // @param: start_resp - this report is for startStream or not
-  // @param: status - the result of startStream
-  std::function<void(uint16_t cookie, bool start_resp,
-                     const BluetoothAudioStatus& status)>
-      control_result_cb_;
-  // session_changed_cb_ - when the Bluetooth stack start / end session, the
-  // BluetoothAudioProvider will invoke this callback to notify to the
-  // bluetooth_audio module.
-  // @param: cookie - indicates which bluetooth_audio output should handle
-  std::function<void(uint16_t cookie)> session_changed_cb_;
-};
-
-class BluetoothAudioSession {
- private:
-  // using recursive_mutex to allow hwbinder to re-enter again.
-  std::recursive_mutex mutex_;
-  SessionType session_type_;
-
-  // audio control path to use for both software and offloading
-  sp<IBluetoothAudioPort> stack_iface_;
-  // Audio path (FMQ) for software encoding/decoded data
-  std::unique_ptr<DataMQ> mDataMQ;
-  // audio data configuration for both software and offloading
-  AudioConfiguration audio_config_;
-
-  static AudioConfiguration invalidSoftwareAudioConfiguration;
-  static AudioConfiguration invalidOffloadAudioConfiguration;
-
-  // saving those registered bluetooth_audio's callbacks
-  std::unordered_map<uint16_t, std::shared_ptr<struct PortStatusCallbacks>>
-      observers_;
-
-  bool UpdateDataPath(const DataMQ::Descriptor* dataMQ);
-  bool UpdateAudioConfig(const AudioConfiguration& audio_config);
-  // invoking the registered session_changed_cb_
-  void ReportSessionStatus();
-
- public:
-  BluetoothAudioSession(const SessionType& session_type);
-
-  // The function helps to check if this session is ready or not
-  // @return: true if the Bluetooth stack has started the specified session
-  bool IsSessionReady();
-
-  // The report function is used to report that the Bluetooth stack has started
-  // this session without any failure, and will invoke session_changed_cb_ to
-  // notify those registered bluetooth_audio outputs
-  void OnSessionStarted(const sp<IBluetoothAudioPort> stack_iface,
-                        const DataMQ::Descriptor* dataMQ,
-                        const AudioConfiguration& audio_config);
-
-  // The report function is used to report that the Bluetooth stack has ended
-  // the session, and will invoke session_changed_cb_ to notify registered
-  // bluetooth_audio outputs
-  void OnSessionEnded();
-
-  // The report function is used to report that the Bluetooth stack has notified
-  // the result of startStream or suspendStream, and will invoke
-  // control_result_cb_ to notify registered bluetooth_audio outputs
-  void ReportControlStatus(bool start_resp, const BluetoothAudioStatus& status);
-
-  // The control function helps the bluetooth_audio module to register
-  // PortStatusCallbacks
-  // @return: cookie - the assigned number to this bluetooth_audio output
-  uint16_t RegisterStatusCback(const PortStatusCallbacks& cbacks);
-
-  // The control function helps the bluetooth_audio module to unregister
-  // PortStatusCallbacks
-  // @param: cookie - indicates which bluetooth_audio output is
-  void UnregisterStatusCback(uint16_t cookie);
-
-  // The control function is for the bluetooth_audio module to get the current
-  // AudioConfiguration
-  const AudioConfiguration& GetAudioConfig();
-
-  // Those control functions are for the bluetooth_audio module to start,
-  // suspend, stop stream, to check position, and to update metadata.
-  bool StartStream();
-  bool SuspendStream();
-  void StopStream();
-  bool GetPresentationPosition(uint64_t* remote_delay_report_ns,
-                               uint64_t* total_bytes_readed,
-                               timespec* data_position);
-  void UpdateTracksMetadata(const struct source_metadata* source_metadata);
-
-  // The control function writes stream to FMQ
-  size_t OutWritePcmData(const void* buffer, size_t bytes);
-  // The control function read stream from FMQ
-  size_t InReadPcmData(void* buffer, size_t bytes);
-
-  static constexpr PcmParameters kInvalidPcmParameters = {
-      .sampleRate = SampleRate::RATE_UNKNOWN,
-      .channelMode = ChannelMode::UNKNOWN,
-      .bitsPerSample = BitsPerSample::BITS_UNKNOWN,
-      .dataIntervalUs = 0,
-  };
-  // can't be constexpr because of non-literal type
-  static const CodecConfiguration kInvalidCodecConfiguration;
-
-  static constexpr AudioConfiguration& kInvalidSoftwareAudioConfiguration =
-      invalidSoftwareAudioConfiguration;
-  static constexpr AudioConfiguration& kInvalidOffloadAudioConfiguration =
-      invalidOffloadAudioConfiguration;
-};
-
-class BluetoothAudioSessionInstance {
- public:
-  // The API is to fetch the specified session
-  static std::shared_ptr<BluetoothAudioSession> GetSessionInstance(
-      const SessionType& session_type);
-
- private:
-  static std::unique_ptr<BluetoothAudioSessionInstance> instance_ptr;
-  std::mutex mutex_;
-  std::unordered_map<SessionType, std::shared_ptr<BluetoothAudioSession>>
-      sessions_map_;
-};
-
-}  // namespace audio
-}  // namespace bluetooth
-}  // namespace android
diff --git a/bluetooth/audio/2.1/default/session/BluetoothAudioSessionControl.h b/bluetooth/audio/2.1/default/session/BluetoothAudioSessionControl.h
deleted file mode 100644
index 017a611..0000000
--- a/bluetooth/audio/2.1/default/session/BluetoothAudioSessionControl.h
+++ /dev/null
@@ -1,154 +0,0 @@
-/*
- * Copyright 2020 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#pragma once
-
-#include "BluetoothAudioSession.h"
-
-namespace android {
-namespace bluetooth {
-namespace audio {
-
-class BluetoothAudioSessionControl {
- public:
-  // The control API helps to check if session is ready or not
-  // @return: true if the Bluetooth stack has started th specified session
-  static bool IsSessionReady(const SessionType& session_type) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->IsSessionReady();
-    }
-    return false;
-  }
-
-  // The control API helps the bluetooth_audio module to register
-  // PortStatusCallbacks
-  // @return: cookie - the assigned number to this bluetooth_audio output
-  static uint16_t RegisterControlResultCback(
-      const SessionType& session_type, const PortStatusCallbacks& cbacks) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->RegisterStatusCback(cbacks);
-    }
-    return kObserversCookieUndefined;
-  }
-
-  // The control API helps the bluetooth_audio module to unregister
-  // PortStatusCallbacks
-  // @param: cookie - indicates which bluetooth_audio output is
-  static void UnregisterControlResultCback(const SessionType& session_type,
-                                           uint16_t cookie) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      session_ptr->UnregisterStatusCback(cookie);
-    }
-  }
-
-  // The control API for the bluetooth_audio module to get current
-  // AudioConfiguration
-  static const AudioConfiguration& GetAudioConfig(
-      const SessionType& session_type) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->GetAudioConfig();
-    } else if (session_type == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
-      return BluetoothAudioSession::kInvalidOffloadAudioConfiguration;
-    } else {
-      return BluetoothAudioSession::kInvalidSoftwareAudioConfiguration;
-    }
-  }
-
-  // Those control APIs for the bluetooth_audio module to start / suspend / stop
-  // stream, to check position, and to update metadata.
-  static bool StartStream(const SessionType& session_type) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->StartStream();
-    }
-    return false;
-  }
-
-  static bool SuspendStream(const SessionType& session_type) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->SuspendStream();
-    }
-    return false;
-  }
-
-  static void StopStream(const SessionType& session_type) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      session_ptr->StopStream();
-    }
-  }
-
-  static bool GetPresentationPosition(const SessionType& session_type,
-                                      uint64_t* remote_delay_report_ns,
-                                      uint64_t* total_bytes_readed,
-                                      timespec* data_position) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->GetPresentationPosition(
-          remote_delay_report_ns, total_bytes_readed, data_position);
-    }
-    return false;
-  }
-
-  static void UpdateTracksMetadata(
-      const SessionType& session_type,
-      const struct source_metadata* source_metadata) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      session_ptr->UpdateTracksMetadata(source_metadata);
-    }
-  }
-
-  // The control API writes stream to FMQ
-  static size_t OutWritePcmData(const SessionType& session_type,
-                                const void* buffer, size_t bytes) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->OutWritePcmData(buffer, bytes);
-    }
-    return 0;
-  }
-
-  // The control API reads stream from FMQ
-  static size_t InReadPcmData(const SessionType& session_type, void* buffer,
-                              size_t bytes) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      return session_ptr->InReadPcmData(buffer, bytes);
-    }
-    return 0;
-  }
-};
-
-}  // namespace audio
-}  // namespace bluetooth
-}  // namespace android
diff --git a/bluetooth/audio/2.1/default/session/BluetoothAudioSessionReport.h b/bluetooth/audio/2.1/default/session/BluetoothAudioSessionReport.h
deleted file mode 100644
index 267bf8f..0000000
--- a/bluetooth/audio/2.1/default/session/BluetoothAudioSessionReport.h
+++ /dev/null
@@ -1,63 +0,0 @@
-/*
- * Copyright 2020 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#pragma once
-
-#include "BluetoothAudioSession.h"
-
-namespace android {
-namespace bluetooth {
-namespace audio {
-
-class BluetoothAudioSessionReport {
- public:
-  // The API reports the Bluetooth stack has started the session, and will
-  // inform registered bluetooth_audio session
-  static void OnSessionStarted(const SessionType& session_type,
-                               const sp<IBluetoothAudioPort> host_iface,
-                               const DataMQ::Descriptor* dataMQ,
-                               const AudioConfiguration& audio_config) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      session_ptr->OnSessionStarted(host_iface, dataMQ, audio_config);
-    }
-  }
-  // The API reports the Bluetooth stack has ended the session, and will
-  // inform registered bluetooth_audio outputs
-  static void OnSessionEnded(const SessionType& session_type) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      session_ptr->OnSessionEnded();
-    }
-  }
-  // The API reports the Bluetooth stack has replied the result of startStream
-  // or suspendStream, and will inform registered bluetooth_audio outputs
-  static void ReportControlStatus(const SessionType& session_type,
-                                  const bool& start_resp,
-                                  const BluetoothAudioStatus& status) {
-    std::shared_ptr<BluetoothAudioSession> session_ptr =
-        BluetoothAudioSessionInstance::GetSessionInstance(session_type);
-    if (session_ptr != nullptr) {
-      session_ptr->ReportControlStatus(start_resp, status);
-    }
-  }
-};
-
-}  // namespace audio
-}  // namespace bluetooth
-}  // namespace android
diff --git a/bluetooth/audio/2.1/default/session/BluetoothAudioSupportedCodecsDB.cpp b/bluetooth/audio/2.1/default/session/BluetoothAudioSupportedCodecsDB.cpp
deleted file mode 100644
index 0937f44..0000000
--- a/bluetooth/audio/2.1/default/session/BluetoothAudioSupportedCodecsDB.cpp
+++ /dev/null
@@ -1,489 +0,0 @@
-/*
- * Copyright 2020 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "BTAudioProviderSessionCodecsDB"
-
-#include "BluetoothAudioSupportedCodecsDB.h"
-
-#include <android-base/logging.h>
-
-namespace android {
-namespace bluetooth {
-namespace audio {
-
-using ::android::hardware::bluetooth::audio::V2_0::AacObjectType;
-using ::android::hardware::bluetooth::audio::V2_0::AacParameters;
-using ::android::hardware::bluetooth::audio::V2_0::AacVariableBitRate;
-using ::android::hardware::bluetooth::audio::V2_0::AptxParameters;
-using ::android::hardware::bluetooth::audio::V2_0::BitsPerSample;
-using ::android::hardware::bluetooth::audio::V2_0::ChannelMode;
-using ::android::hardware::bluetooth::audio::V2_0::CodecType;
-using ::android::hardware::bluetooth::audio::V2_0::LdacChannelMode;
-using ::android::hardware::bluetooth::audio::V2_0::LdacParameters;
-using ::android::hardware::bluetooth::audio::V2_0::LdacQualityIndex;
-using ::android::hardware::bluetooth::audio::V2_0::SbcAllocMethod;
-using ::android::hardware::bluetooth::audio::V2_0::SbcBlockLength;
-using ::android::hardware::bluetooth::audio::V2_0::SbcChannelMode;
-using ::android::hardware::bluetooth::audio::V2_0::SbcNumSubbands;
-using ::android::hardware::bluetooth::audio::V2_0::SbcParameters;
-using ::android::hardware::bluetooth::audio::V2_1::SampleRate;
-
-// Default Supported PCM Parameters
-static const ::android::hardware::bluetooth::audio::V2_0::PcmParameters
-    kDefaultSoftwarePcmCapabilities = {
-        .sampleRate = static_cast<
-            android::hardware::bluetooth::audio::V2_0::SampleRate>(
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_44100 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_48000 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_88200 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_96000 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_16000),
-        .channelMode =
-            static_cast<ChannelMode>(ChannelMode::MONO | ChannelMode::STEREO),
-        .bitsPerSample = static_cast<BitsPerSample>(BitsPerSample::BITS_16 |
-                                                    BitsPerSample::BITS_24 |
-                                                    BitsPerSample::BITS_32)};
-
-static const PcmParameters kDefaultSoftwarePcmCapabilities_2_1 = {
-    .sampleRate = static_cast<SampleRate>(
-        SampleRate::RATE_48000 | SampleRate::RATE_44100 |
-        SampleRate::RATE_32000 | SampleRate::RATE_24000 |
-        SampleRate::RATE_16000 | SampleRate::RATE_8000),
-    .channelMode =
-        static_cast<ChannelMode>(ChannelMode::MONO | ChannelMode::STEREO),
-    .bitsPerSample = static_cast<BitsPerSample>(BitsPerSample::BITS_16)};
-
-// Default Supported Codecs
-// SBC: mSampleRate:(44100), mBitsPerSample:(16), mChannelMode:(MONO|STEREO)
-//      all blocks | subbands 8 | Loudness
-static const SbcParameters kDefaultOffloadSbcCapability = {
-    .sampleRate =
-        android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_44100,
-    .channelMode = static_cast<SbcChannelMode>(SbcChannelMode::MONO |
-                                               SbcChannelMode::JOINT_STEREO),
-    .blockLength = static_cast<SbcBlockLength>(
-        SbcBlockLength::BLOCKS_4 | SbcBlockLength::BLOCKS_8 |
-        SbcBlockLength::BLOCKS_12 | SbcBlockLength::BLOCKS_16),
-    .numSubbands = SbcNumSubbands::SUBBAND_8,
-    .allocMethod = SbcAllocMethod::ALLOC_MD_L,
-    .bitsPerSample = BitsPerSample::BITS_16,
-    .minBitpool = 2,
-    .maxBitpool = 53};
-
-// AAC: mSampleRate:(44100), mBitsPerSample:(16), mChannelMode:(STEREO)
-static const AacParameters kDefaultOffloadAacCapability = {
-    .objectType = AacObjectType::MPEG2_LC,
-    .sampleRate =
-        android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_44100,
-    .channelMode = ChannelMode::STEREO,
-    .variableBitRateEnabled = AacVariableBitRate::ENABLED,
-    .bitsPerSample = BitsPerSample::BITS_16};
-
-// LDAC: mSampleRate:(44100|48000|88200|96000), mBitsPerSample:(16|24|32),
-//       mChannelMode:(DUAL|STEREO)
-static const LdacParameters kDefaultOffloadLdacCapability = {
-    .sampleRate =
-        static_cast<android::hardware::bluetooth::audio::V2_0::SampleRate>(
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_44100 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_48000 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_88200 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_96000),
-    .channelMode = static_cast<LdacChannelMode>(LdacChannelMode::DUAL |
-                                                LdacChannelMode::STEREO),
-    .qualityIndex = LdacQualityIndex::QUALITY_HIGH,
-    .bitsPerSample = static_cast<BitsPerSample>(BitsPerSample::BITS_16 |
-                                                BitsPerSample::BITS_24 |
-                                                BitsPerSample::BITS_32)};
-
-// aptX: mSampleRate:(44100|48000), mBitsPerSample:(16), mChannelMode:(STEREO)
-static const AptxParameters kDefaultOffloadAptxCapability = {
-    .sampleRate =
-        static_cast<android::hardware::bluetooth::audio::V2_0::SampleRate>(
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_44100 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_48000),
-    .channelMode = ChannelMode::STEREO,
-    .bitsPerSample = BitsPerSample::BITS_16,
-};
-
-// aptX HD: mSampleRate:(44100|48000), mBitsPerSample:(24),
-//          mChannelMode:(STEREO)
-static const AptxParameters kDefaultOffloadAptxHdCapability = {
-    .sampleRate =
-        static_cast<android::hardware::bluetooth::audio::V2_0::SampleRate>(
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_44100 |
-            android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_48000),
-    .channelMode = ChannelMode::STEREO,
-    .bitsPerSample = BitsPerSample::BITS_24,
-};
-
-const std::vector<CodecCapabilities> kDefaultOffloadA2dpCodecCapabilities = {
-    {.codecType = CodecType::SBC, .capabilities = {}},
-    {.codecType = CodecType::AAC, .capabilities = {}},
-    {.codecType = CodecType::LDAC, .capabilities = {}},
-    {.codecType = CodecType::APTX, .capabilities = {}},
-    {.codecType = CodecType::APTX_HD, .capabilities = {}}};
-
-static bool IsSingleBit(uint32_t bitmasks, uint32_t bitfield) {
-  bool single = false;
-  uint32_t test_bit = 0x00000001;
-  while (test_bit <= bitmasks && test_bit <= bitfield) {
-    if (bitfield & test_bit && bitmasks & test_bit) {
-      if (single) return false;
-      single = true;
-    }
-    if (test_bit == 0x80000000) break;
-    test_bit <<= 1;
-  }
-  return single;
-}
-
-static bool IsOffloadSbcConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific);
-static bool IsOffloadAacConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific);
-static bool IsOffloadLdacConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific);
-static bool IsOffloadAptxConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific);
-static bool IsOffloadAptxHdConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific);
-
-static bool IsOffloadSbcConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific) {
-  if (codec_specific.getDiscriminator() !=
-      CodecConfiguration::CodecSpecific::hidl_discriminator::sbcConfig) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  }
-  const SbcParameters sbc_data = codec_specific.sbcConfig();
-  if (!IsSingleBit(static_cast<uint32_t>(sbc_data.sampleRate), 0xff) ||
-      !IsSingleBit(static_cast<uint32_t>(sbc_data.channelMode), 0x0f) ||
-      !IsSingleBit(static_cast<uint32_t>(sbc_data.blockLength), 0xf0) ||
-      !IsSingleBit(static_cast<uint32_t>(sbc_data.numSubbands), 0x0c) ||
-      !IsSingleBit(static_cast<uint32_t>(sbc_data.allocMethod), 0x03) ||
-      !IsSingleBit(static_cast<uint32_t>(sbc_data.bitsPerSample), 0x07) ||
-      sbc_data.minBitpool > sbc_data.maxBitpool) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  } else if ((sbc_data.sampleRate & kDefaultOffloadSbcCapability.sampleRate) &&
-             (sbc_data.channelMode &
-              kDefaultOffloadSbcCapability.channelMode) &&
-             (sbc_data.blockLength &
-              kDefaultOffloadSbcCapability.blockLength) &&
-             (sbc_data.numSubbands &
-              kDefaultOffloadSbcCapability.numSubbands) &&
-             (sbc_data.allocMethod &
-              kDefaultOffloadSbcCapability.allocMethod) &&
-             (sbc_data.bitsPerSample &
-              kDefaultOffloadSbcCapability.bitsPerSample) &&
-             (kDefaultOffloadSbcCapability.minBitpool <= sbc_data.minBitpool &&
-              sbc_data.maxBitpool <= kDefaultOffloadSbcCapability.maxBitpool)) {
-    return true;
-  }
-  LOG(WARNING) << __func__
-               << ": Unsupported CodecSpecific=" << toString(codec_specific);
-  return false;
-}
-
-static bool IsOffloadAacConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific) {
-  if (codec_specific.getDiscriminator() !=
-      CodecConfiguration::CodecSpecific::hidl_discriminator::aacConfig) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  }
-  const AacParameters aac_data = codec_specific.aacConfig();
-  if (!IsSingleBit(static_cast<uint32_t>(aac_data.objectType), 0xf0) ||
-      !IsSingleBit(static_cast<uint32_t>(aac_data.sampleRate), 0xff) ||
-      !IsSingleBit(static_cast<uint32_t>(aac_data.channelMode), 0x03) ||
-      !IsSingleBit(static_cast<uint32_t>(aac_data.bitsPerSample), 0x07)) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  } else if ((aac_data.objectType & kDefaultOffloadAacCapability.objectType) &&
-             (aac_data.sampleRate & kDefaultOffloadAacCapability.sampleRate) &&
-             (aac_data.channelMode &
-              kDefaultOffloadAacCapability.channelMode) &&
-             (aac_data.variableBitRateEnabled == AacVariableBitRate::DISABLED ||
-              kDefaultOffloadAacCapability.variableBitRateEnabled ==
-                  AacVariableBitRate::ENABLED) &&
-             (aac_data.bitsPerSample &
-              kDefaultOffloadAacCapability.bitsPerSample)) {
-    return true;
-  }
-  LOG(WARNING) << __func__
-               << ": Unsupported CodecSpecific=" << toString(codec_specific);
-  return false;
-}
-
-static bool IsOffloadLdacConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific) {
-  if (codec_specific.getDiscriminator() !=
-      CodecConfiguration::CodecSpecific::hidl_discriminator::ldacConfig) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  }
-  const LdacParameters ldac_data = codec_specific.ldacConfig();
-  if (!IsSingleBit(static_cast<uint32_t>(ldac_data.sampleRate), 0xff) ||
-      !IsSingleBit(static_cast<uint32_t>(ldac_data.channelMode), 0x07) ||
-      (ldac_data.qualityIndex > LdacQualityIndex::QUALITY_LOW &&
-       ldac_data.qualityIndex != LdacQualityIndex::QUALITY_ABR) ||
-      !IsSingleBit(static_cast<uint32_t>(ldac_data.bitsPerSample), 0x07)) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  } else if ((ldac_data.sampleRate &
-              kDefaultOffloadLdacCapability.sampleRate) &&
-             (ldac_data.channelMode &
-              kDefaultOffloadLdacCapability.channelMode) &&
-             (ldac_data.bitsPerSample &
-              kDefaultOffloadLdacCapability.bitsPerSample)) {
-    return true;
-  }
-  LOG(WARNING) << __func__
-               << ": Unsupported CodecSpecific=" << toString(codec_specific);
-  return false;
-}
-
-static bool IsOffloadAptxConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific) {
-  if (codec_specific.getDiscriminator() !=
-      CodecConfiguration::CodecSpecific::hidl_discriminator::aptxConfig) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  }
-  const AptxParameters aptx_data = codec_specific.aptxConfig();
-  if (!IsSingleBit(static_cast<uint32_t>(aptx_data.sampleRate), 0xff) ||
-      !IsSingleBit(static_cast<uint32_t>(aptx_data.channelMode), 0x03) ||
-      !IsSingleBit(static_cast<uint32_t>(aptx_data.bitsPerSample), 0x07)) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  } else if ((aptx_data.sampleRate &
-              kDefaultOffloadAptxCapability.sampleRate) &&
-             (aptx_data.channelMode &
-              kDefaultOffloadAptxCapability.channelMode) &&
-             (aptx_data.bitsPerSample &
-              kDefaultOffloadAptxCapability.bitsPerSample)) {
-    return true;
-  }
-  LOG(WARNING) << __func__
-               << ": Unsupported CodecSpecific=" << toString(codec_specific);
-  return false;
-}
-
-static bool IsOffloadAptxHdConfigurationValid(
-    const CodecConfiguration::CodecSpecific& codec_specific) {
-  if (codec_specific.getDiscriminator() !=
-      CodecConfiguration::CodecSpecific::hidl_discriminator::aptxConfig) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  }
-  const AptxParameters aptx_data = codec_specific.aptxConfig();
-  if (!IsSingleBit(static_cast<uint32_t>(aptx_data.sampleRate), 0xff) ||
-      !IsSingleBit(static_cast<uint32_t>(aptx_data.channelMode), 0x03) ||
-      !IsSingleBit(static_cast<uint32_t>(aptx_data.bitsPerSample), 0x07)) {
-    LOG(WARNING) << __func__
-                 << ": Invalid CodecSpecific=" << toString(codec_specific);
-    return false;
-  } else if ((aptx_data.sampleRate &
-              kDefaultOffloadAptxHdCapability.sampleRate) &&
-             (aptx_data.channelMode &
-              kDefaultOffloadAptxHdCapability.channelMode) &&
-             (aptx_data.bitsPerSample &
-              kDefaultOffloadAptxHdCapability.bitsPerSample)) {
-    return true;
-  }
-  LOG(WARNING) << __func__
-               << ": Unsupported CodecSpecific=" << toString(codec_specific);
-  return false;
-}
-
-std::vector<::android::hardware::bluetooth::audio::V2_0::PcmParameters>
-GetSoftwarePcmCapabilities() {
-  return std::vector<
-      ::android::hardware::bluetooth::audio::V2_0::PcmParameters>(
-      1, kDefaultSoftwarePcmCapabilities);
-}
-
-std::vector<PcmParameters> GetSoftwarePcmCapabilities_2_1() {
-  return std::vector<PcmParameters>(1, kDefaultSoftwarePcmCapabilities_2_1);
-}
-
-std::vector<CodecCapabilities> GetOffloadCodecCapabilities(
-    const ::android::hardware::bluetooth::audio::V2_0::SessionType&
-        session_type) {
-  return GetOffloadCodecCapabilities(static_cast<SessionType>(session_type));
-}
-
-std::vector<CodecCapabilities> GetOffloadCodecCapabilities(
-    const SessionType& session_type) {
-  if (session_type != SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
-    return std::vector<CodecCapabilities>(0);
-  }
-  std::vector<CodecCapabilities> offload_a2dp_codec_capabilities =
-      kDefaultOffloadA2dpCodecCapabilities;
-  for (auto& codec_capability : offload_a2dp_codec_capabilities) {
-    switch (codec_capability.codecType) {
-      case CodecType::SBC:
-        codec_capability.capabilities.sbcCapabilities(
-            kDefaultOffloadSbcCapability);
-        break;
-      case CodecType::AAC:
-        codec_capability.capabilities.aacCapabilities(
-            kDefaultOffloadAacCapability);
-        break;
-      case CodecType::LDAC:
-        codec_capability.capabilities.ldacCapabilities(
-            kDefaultOffloadLdacCapability);
-        break;
-      case CodecType::APTX:
-        codec_capability.capabilities.aptxCapabilities(
-            kDefaultOffloadAptxCapability);
-        break;
-      case CodecType::APTX_HD:
-        codec_capability.capabilities.aptxCapabilities(
-            kDefaultOffloadAptxHdCapability);
-        break;
-      case CodecType::UNKNOWN:
-        codec_capability = {};
-        break;
-    }
-  }
-  return offload_a2dp_codec_capabilities;
-}
-
-bool IsSoftwarePcmConfigurationValid(
-    const ::android::hardware::bluetooth::audio::V2_0::PcmParameters&
-        pcm_config) {
-  if ((pcm_config.sampleRate !=
-           android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_44100 &&
-       pcm_config.sampleRate !=
-           android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_48000 &&
-       pcm_config.sampleRate !=
-           android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_88200 &&
-       pcm_config.sampleRate !=
-           android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_96000 &&
-       pcm_config.sampleRate !=
-           android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_16000 &&
-       pcm_config.sampleRate !=
-           android::hardware::bluetooth::audio::V2_0::SampleRate::RATE_24000) ||
-      (pcm_config.bitsPerSample != BitsPerSample::BITS_16 &&
-       pcm_config.bitsPerSample != BitsPerSample::BITS_24 &&
-       pcm_config.bitsPerSample != BitsPerSample::BITS_32) ||
-      (pcm_config.channelMode != ChannelMode::MONO &&
-       pcm_config.channelMode != ChannelMode::STEREO)) {
-    LOG(WARNING) << __func__
-                 << ": Invalid PCM Configuration=" << toString(pcm_config);
-    return false;
-  } else if (pcm_config.sampleRate &
-                 kDefaultSoftwarePcmCapabilities.sampleRate &&
-             pcm_config.bitsPerSample &
-                 kDefaultSoftwarePcmCapabilities.bitsPerSample &&
-             pcm_config.channelMode &
-                 kDefaultSoftwarePcmCapabilities.channelMode) {
-    return true;
-  }
-  LOG(WARNING) << __func__
-               << ": Unsupported PCM Configuration=" << toString(pcm_config);
-  return false;
-}
-
-bool IsSoftwarePcmConfigurationValid_2_1(const PcmParameters& pcm_config) {
-  if ((pcm_config.sampleRate != SampleRate::RATE_96000 &&
-       pcm_config.sampleRate != SampleRate::RATE_88200 &&
-       pcm_config.sampleRate != SampleRate::RATE_48000 &&
-       pcm_config.sampleRate != SampleRate::RATE_44100 &&
-       pcm_config.sampleRate != SampleRate::RATE_32000 &&
-       pcm_config.sampleRate != SampleRate::RATE_24000 &&
-       pcm_config.sampleRate != SampleRate::RATE_16000 &&
-       pcm_config.sampleRate != SampleRate::RATE_8000) ||
-      (pcm_config.bitsPerSample != BitsPerSample::BITS_16 &&
-       pcm_config.bitsPerSample != BitsPerSample::BITS_24 &&
-       pcm_config.bitsPerSample != BitsPerSample::BITS_32) ||
-      (pcm_config.channelMode != ChannelMode::MONO &&
-       pcm_config.channelMode != ChannelMode::STEREO)) {
-    LOG(WARNING) << __func__
-                 << ": Invalid PCM Configuration=" << toString(pcm_config);
-    return false;
-  } else if (pcm_config.sampleRate &
-                 kDefaultSoftwarePcmCapabilities_2_1.sampleRate &&
-             pcm_config.bitsPerSample &
-                 kDefaultSoftwarePcmCapabilities_2_1.bitsPerSample &&
-             pcm_config.channelMode &
-                 kDefaultSoftwarePcmCapabilities_2_1.channelMode &&
-             pcm_config.dataIntervalUs != 0) {
-    return true;
-  }
-  LOG(WARNING) << __func__
-               << ": Unsupported PCM Configuration=" << toString(pcm_config);
-  return false;
-}
-
-bool IsOffloadCodecConfigurationValid(const SessionType& session_type,
-                                      const CodecConfiguration& codec_config) {
-  if (session_type != SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
-    LOG(ERROR) << __func__
-               << ": Invalid SessionType=" << toString(session_type);
-    return false;
-  } else if (codec_config.encodedAudioBitrate < 0x00000001 ||
-             0x00ffffff < codec_config.encodedAudioBitrate) {
-    LOG(ERROR) << __func__ << ": Unsupported Codec Configuration="
-               << toString(codec_config);
-    return false;
-  }
-  const CodecConfiguration::CodecSpecific& codec_specific = codec_config.config;
-  switch (codec_config.codecType) {
-    case CodecType::SBC:
-      if (IsOffloadSbcConfigurationValid(codec_specific)) {
-        return true;
-      }
-      return false;
-    case CodecType::AAC:
-      if (IsOffloadAacConfigurationValid(codec_specific)) {
-        return true;
-      }
-      return false;
-    case CodecType::LDAC:
-      if (IsOffloadLdacConfigurationValid(codec_specific)) {
-        return true;
-      }
-      return false;
-    case CodecType::APTX:
-      if (IsOffloadAptxConfigurationValid(codec_specific)) {
-        return true;
-      }
-      return false;
-    case CodecType::APTX_HD:
-      if (IsOffloadAptxHdConfigurationValid(codec_specific)) {
-        return true;
-      }
-      return false;
-    case CodecType::UNKNOWN:
-      return false;
-  }
-  return false;
-}
-
-}  // namespace audio
-}  // namespace bluetooth
-}  // namespace android
diff --git a/bluetooth/audio/2.1/default/session/BluetoothAudioSupportedCodecsDB.h b/bluetooth/audio/2.1/default/session/BluetoothAudioSupportedCodecsDB.h
deleted file mode 100644
index 9b2f680..0000000
--- a/bluetooth/audio/2.1/default/session/BluetoothAudioSupportedCodecsDB.h
+++ /dev/null
@@ -1,49 +0,0 @@
-/*
- * Copyright 2020 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#pragma once
-
-#include <android/hardware/bluetooth/audio/2.0/types.h>
-#include <android/hardware/bluetooth/audio/2.1/types.h>
-
-namespace android {
-namespace bluetooth {
-namespace audio {
-
-using ::android::hardware::bluetooth::audio::V2_0::CodecCapabilities;
-using ::android::hardware::bluetooth::audio::V2_0::CodecConfiguration;
-using ::android::hardware::bluetooth::audio::V2_1::PcmParameters;
-using ::android::hardware::bluetooth::audio::V2_1::SessionType;
-
-std::vector<::android::hardware::bluetooth::audio::V2_0::PcmParameters>
-GetSoftwarePcmCapabilities();
-std::vector<PcmParameters> GetSoftwarePcmCapabilities_2_1();
-std::vector<CodecCapabilities> GetOffloadCodecCapabilities(
-    const SessionType& session_type);
-std::vector<CodecCapabilities> GetOffloadCodecCapabilities(
-    const ::android::hardware::bluetooth::audio::V2_0::SessionType&
-        session_type);
-
-bool IsSoftwarePcmConfigurationValid_2_1(const PcmParameters& pcm_config);
-bool IsSoftwarePcmConfigurationValid(
-    const ::android::hardware::bluetooth::audio::V2_0::PcmParameters&
-        pcm_config);
-bool IsOffloadCodecConfigurationValid(const SessionType& session_type,
-                                      const CodecConfiguration& codec_config);
-
-}  // namespace audio
-}  // namespace bluetooth
-}  // namespace android
diff --git a/bluetooth/audio/utils/Android.bp b/bluetooth/audio/utils/Android.bp
new file mode 100644
index 0000000..35476d2
--- /dev/null
+++ b/bluetooth/audio/utils/Android.bp
@@ -0,0 +1,23 @@
+cc_library_shared {
+    name: "libbluetooth_audio_session",
+    defaults: ["hidl_defaults"],
+    vendor: true,
+    srcs: [
+        "session/BluetoothAudioSession.cpp",
+        "session/BluetoothAudioSession_2_1.cpp",
+        "session/BluetoothAudioSupportedCodecsDB.cpp",
+        "session/BluetoothAudioSupportedCodecsDB_2_1.cpp",
+    ],
+    export_include_dirs: ["session/"],
+    header_libs: ["libhardware_headers"],
+    shared_libs: [
+        "android.hardware.bluetooth.audio@2.0",
+        "android.hardware.bluetooth.audio@2.1",
+        "libbase",
+        "libcutils",
+        "libfmq",
+        "libhidlbase",
+        "liblog",
+        "libutils",
+    ],
+}
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSession.cpp b/bluetooth/audio/utils/session/BluetoothAudioSession.cpp
similarity index 100%
rename from bluetooth/audio/2.0/default/session/BluetoothAudioSession.cpp
rename to bluetooth/audio/utils/session/BluetoothAudioSession.cpp
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSession.h b/bluetooth/audio/utils/session/BluetoothAudioSession.h
similarity index 100%
rename from bluetooth/audio/2.0/default/session/BluetoothAudioSession.h
rename to bluetooth/audio/utils/session/BluetoothAudioSession.h
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSessionControl.h b/bluetooth/audio/utils/session/BluetoothAudioSessionControl.h
similarity index 100%
rename from bluetooth/audio/2.0/default/session/BluetoothAudioSessionControl.h
rename to bluetooth/audio/utils/session/BluetoothAudioSessionControl.h
diff --git a/bluetooth/audio/utils/session/BluetoothAudioSessionControl_2_1.h b/bluetooth/audio/utils/session/BluetoothAudioSessionControl_2_1.h
new file mode 100644
index 0000000..86af468
--- /dev/null
+++ b/bluetooth/audio/utils/session/BluetoothAudioSessionControl_2_1.h
@@ -0,0 +1,148 @@
+/*
+ * Copyright 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include "BluetoothAudioSession_2_1.h"
+
+namespace android {
+namespace bluetooth {
+namespace audio {
+
+class BluetoothAudioSessionControl_2_1 {
+  using SessionType_2_1 =
+      ::android::hardware::bluetooth::audio::V2_1::SessionType;
+
+ public:
+  // The control API helps to check if session is ready or not
+  // @return: true if the Bluetooth stack has started th specified session
+  static bool IsSessionReady(const SessionType_2_1& session_type) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      return session_ptr->GetAudioSession()->IsSessionReady();
+    }
+    return false;
+  }
+
+  // The control API helps the bluetooth_audio module to register
+  // PortStatusCallbacks
+  // @return: cookie - the assigned number to this bluetooth_audio output
+  static uint16_t RegisterControlResultCback(
+      const SessionType_2_1& session_type, const PortStatusCallbacks& cbacks) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      return session_ptr->GetAudioSession()->RegisterStatusCback(cbacks);
+    }
+    return kObserversCookieUndefined;
+  }
+
+  // The control API helps the bluetooth_audio module to unregister
+  // PortStatusCallbacks
+  // @param: cookie - indicates which bluetooth_audio output is
+  static void UnregisterControlResultCback(const SessionType_2_1& session_type,
+                                           uint16_t cookie) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      session_ptr->GetAudioSession()->UnregisterStatusCback(cookie);
+    }
+  }
+
+  // The control API for the bluetooth_audio module to get current
+  // AudioConfiguration
+  static const AudioConfiguration& GetAudioConfig(
+      const SessionType_2_1& session_type) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      // TODO: map 2.1 to 2.0 audio config inside GetAudioConfig?
+      return session_ptr->GetAudioSession()->GetAudioConfig();
+    } else if (session_type ==
+               SessionType_2_1::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
+      return BluetoothAudioSession::kInvalidOffloadAudioConfiguration;
+    } else {
+      return BluetoothAudioSession::kInvalidSoftwareAudioConfiguration;
+    }
+  }
+
+  // Those control APIs for the bluetooth_audio module to start / suspend / stop
+  // stream, to check position, and to update metadata.
+  static bool StartStream(const SessionType_2_1& session_type) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      return session_ptr->GetAudioSession()->StartStream();
+    }
+    return false;
+  }
+
+  static bool SuspendStream(const SessionType_2_1& session_type) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      return session_ptr->GetAudioSession()->SuspendStream();
+    }
+    return false;
+  }
+
+  static void StopStream(const SessionType_2_1& session_type) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      session_ptr->GetAudioSession()->StopStream();
+    }
+  }
+
+  static bool GetPresentationPosition(const SessionType_2_1& session_type,
+                                      uint64_t* remote_delay_report_ns,
+                                      uint64_t* total_bytes_readed,
+                                      timespec* data_position) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      return session_ptr->GetAudioSession()->GetPresentationPosition(
+          remote_delay_report_ns, total_bytes_readed, data_position);
+    }
+    return false;
+  }
+
+  static void UpdateTracksMetadata(
+      const SessionType_2_1& session_type,
+      const struct source_metadata* source_metadata) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      session_ptr->GetAudioSession()->UpdateTracksMetadata(source_metadata);
+    }
+  }
+
+  // The control API writes stream to FMQ
+  static size_t OutWritePcmData(const SessionType_2_1& session_type,
+                                const void* buffer, size_t bytes) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      return session_ptr->GetAudioSession()->OutWritePcmData(buffer, bytes);
+    }
+    return 0;
+  }
+};
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSessionReport.h b/bluetooth/audio/utils/session/BluetoothAudioSessionReport.h
similarity index 100%
rename from bluetooth/audio/2.0/default/session/BluetoothAudioSessionReport.h
rename to bluetooth/audio/utils/session/BluetoothAudioSessionReport.h
diff --git a/bluetooth/audio/utils/session/BluetoothAudioSessionReport_2_1.h b/bluetooth/audio/utils/session/BluetoothAudioSessionReport_2_1.h
new file mode 100644
index 0000000..ab30536
--- /dev/null
+++ b/bluetooth/audio/utils/session/BluetoothAudioSessionReport_2_1.h
@@ -0,0 +1,69 @@
+/*
+ * Copyright 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include "BluetoothAudioSession_2_1.h"
+
+namespace android {
+namespace bluetooth {
+namespace audio {
+
+class BluetoothAudioSessionReport_2_1 {
+ public:
+  // The API reports the Bluetooth stack has started the session, and will
+  // inform registered bluetooth_audio outputs
+  static void OnSessionStarted(
+      const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+          session_type,
+      const sp<IBluetoothAudioPort> host_iface,
+      const DataMQ::Descriptor* dataMQ,
+      const ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration&
+          audio_config) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      session_ptr->OnSessionStarted(host_iface, dataMQ, audio_config);
+    }
+  }
+  // The API reports the Bluetooth stack has ended the session, and will
+  // inform registered bluetooth_audio outputs
+  static void OnSessionEnded(
+      const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+          session_type) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      session_ptr->GetAudioSession()->OnSessionEnded();
+    }
+  }
+  // The API reports the Bluetooth stack has replied the result of startStream
+  // or suspendStream, and will inform registered bluetooth_audio outputs
+  static void ReportControlStatus(
+      const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+          session_type,
+      const bool& start_resp, const BluetoothAudioStatus& status) {
+    std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+        BluetoothAudioSessionInstance_2_1::GetSessionInstance(session_type);
+    if (session_ptr != nullptr) {
+      session_ptr->GetAudioSession()->ReportControlStatus(start_resp, status);
+    }
+  }
+};
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/bluetooth/audio/utils/session/BluetoothAudioSession_2_1.cpp b/bluetooth/audio/utils/session/BluetoothAudioSession_2_1.cpp
new file mode 100644
index 0000000..9e1baf4
--- /dev/null
+++ b/bluetooth/audio/utils/session/BluetoothAudioSession_2_1.cpp
@@ -0,0 +1,117 @@
+/*
+ * Copyright 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "BTAudioProviderSession_2_1"
+
+#include "BluetoothAudioSession_2_1.h"
+
+#include <android-base/logging.h>
+#include <android-base/stringprintf.h>
+
+namespace android {
+namespace bluetooth {
+namespace audio {
+using SessionType_2_1 =
+    ::android::hardware::bluetooth::audio::V2_1::SessionType;
+using SessionType_2_0 =
+    ::android::hardware::bluetooth::audio::V2_0::SessionType;
+
+namespace {
+bool is_2_0_session_type(
+    const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+        session_type) {
+  if (session_type == SessionType_2_1::A2DP_SOFTWARE_ENCODING_DATAPATH ||
+      session_type == SessionType_2_1::A2DP_HARDWARE_OFFLOAD_DATAPATH ||
+      session_type == SessionType_2_1::HEARING_AID_SOFTWARE_ENCODING_DATAPATH) {
+    return true;
+  } else {
+    return false;
+  }
+}
+}  // namespace
+
+BluetoothAudioSession_2_1::BluetoothAudioSession_2_1(
+    const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+        session_type)
+    : audio_session(BluetoothAudioSessionInstance::GetSessionInstance(
+          static_cast<SessionType_2_0>(session_type))) {
+  if (is_2_0_session_type(session_type)) {
+    session_type_2_1_ = (SessionType_2_1::UNKNOWN);
+  } else {
+    session_type_2_1_ = (session_type);
+  }
+}
+
+std::shared_ptr<BluetoothAudioSession>
+BluetoothAudioSession_2_1::GetAudioSession() {
+  return audio_session;
+}
+
+// The report function is used to report that the Bluetooth stack has started
+// this session without any failure, and will invoke session_changed_cb_ to
+// notify those registered bluetooth_audio outputs
+void BluetoothAudioSession_2_1::OnSessionStarted(
+    const sp<IBluetoothAudioPort> stack_iface, const DataMQ::Descriptor* dataMQ,
+    const ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration&
+        audio_config) {
+  if (session_type_2_1_ == SessionType_2_1::UNKNOWN) {
+    ::android::hardware::bluetooth::audio::V2_0::AudioConfiguration config;
+    if (audio_config.getDiscriminator() ==
+        ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration::
+            hidl_discriminator::codecConfig) {
+      config.codecConfig(audio_config.codecConfig());
+    } else {
+      auto& tmpPcm = audio_config.pcmConfig();
+      config.pcmConfig(
+          ::android::hardware::bluetooth::audio::V2_0::PcmParameters{
+              .sampleRate = static_cast<SampleRate>(tmpPcm.sampleRate),
+              .channelMode = tmpPcm.channelMode,
+              .bitsPerSample = tmpPcm.bitsPerSample
+              /*dataIntervalUs is not passed to 2.0 */
+          });
+    }
+
+    audio_session->OnSessionStarted(stack_iface, dataMQ, config);
+  } else {
+    LOG(FATAL) << " Not implemented yet!!";
+  }
+}
+
+std::unique_ptr<BluetoothAudioSessionInstance_2_1>
+    BluetoothAudioSessionInstance_2_1::instance_ptr =
+        std::unique_ptr<BluetoothAudioSessionInstance_2_1>(
+            new BluetoothAudioSessionInstance_2_1());
+
+// API to fetch the session of A2DP / Hearing Aid
+std::shared_ptr<BluetoothAudioSession_2_1>
+BluetoothAudioSessionInstance_2_1::GetSessionInstance(
+    const SessionType_2_1& session_type) {
+  std::lock_guard<std::mutex> guard(instance_ptr->mutex_);
+  if (!instance_ptr->sessions_map_.empty()) {
+    auto entry = instance_ptr->sessions_map_.find(session_type);
+    if (entry != instance_ptr->sessions_map_.end()) {
+      return entry->second;
+    }
+  }
+  std::shared_ptr<BluetoothAudioSession_2_1> session_ptr =
+      std::make_shared<BluetoothAudioSession_2_1>(session_type);
+  instance_ptr->sessions_map_[session_type] = session_ptr;
+  return session_ptr;
+}
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/bluetooth/audio/utils/session/BluetoothAudioSession_2_1.h b/bluetooth/audio/utils/session/BluetoothAudioSession_2_1.h
new file mode 100644
index 0000000..0e9c12b
--- /dev/null
+++ b/bluetooth/audio/utils/session/BluetoothAudioSession_2_1.h
@@ -0,0 +1,82 @@
+/*
+ * Copyright 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include <android/hardware/bluetooth/audio/2.1/types.h>
+#include "BluetoothAudioSession.h"
+
+#include <mutex>
+#include <unordered_map>
+
+namespace android {
+namespace bluetooth {
+namespace audio {
+
+class BluetoothAudioSession_2_1 {
+ private:
+  std::shared_ptr<BluetoothAudioSession> audio_session;
+
+  ::android::hardware::bluetooth::audio::V2_1::SessionType session_type_2_1_;
+
+  // audio data configuration for both software and offloading
+  ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration
+      audio_config_2_1_;
+
+  bool UpdateAudioConfig(
+      const ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration&
+          audio_config);
+
+ public:
+  BluetoothAudioSession_2_1(
+      const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+          session_type);
+
+  std::shared_ptr<BluetoothAudioSession> GetAudioSession();
+
+  // The report function is used to report that the Bluetooth stack has started
+  // this session without any failure, and will invoke session_changed_cb_ to
+  // notify those registered bluetooth_audio outputs
+  void OnSessionStarted(
+      const sp<IBluetoothAudioPort> stack_iface,
+      const DataMQ::Descriptor* dataMQ,
+      const ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration&
+          audio_config);
+
+  // The control function is for the bluetooth_audio module to get the current
+  // AudioConfiguration
+  const ::android::hardware::bluetooth::audio::V2_1::AudioConfiguration&
+  GetAudioConfig();
+};
+
+class BluetoothAudioSessionInstance_2_1 {
+ public:
+  // The API is to fetch the specified session of A2DP / Hearing Aid
+  static std::shared_ptr<BluetoothAudioSession_2_1> GetSessionInstance(
+      const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+          session_type);
+
+ private:
+  static std::unique_ptr<BluetoothAudioSessionInstance_2_1> instance_ptr;
+  std::mutex mutex_;
+  std::unordered_map<::android::hardware::bluetooth::audio::V2_1::SessionType,
+                     std::shared_ptr<BluetoothAudioSession_2_1>>
+      sessions_map_;
+};
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.cpp b/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB.cpp
similarity index 100%
rename from bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.cpp
rename to bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB.cpp
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.h b/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB.h
similarity index 100%
rename from bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.h
rename to bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB.h
diff --git a/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB_2_1.cpp b/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB_2_1.cpp
new file mode 100644
index 0000000..8b0b0f7
--- /dev/null
+++ b/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB_2_1.cpp
@@ -0,0 +1,127 @@
+/*
+ * Copyright 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "BTAudioProviderSessionCodecsDB_2_1"
+
+#include "BluetoothAudioSupportedCodecsDB_2_1.h"
+
+#include <android-base/logging.h>
+
+namespace android {
+namespace bluetooth {
+namespace audio {
+
+using ::android::hardware::bluetooth::audio::V2_0::BitsPerSample;
+using ::android::hardware::bluetooth::audio::V2_0::ChannelMode;
+
+using SampleRate_2_0 = ::android::hardware::bluetooth::audio::V2_0::SampleRate;
+using SampleRate_2_1 = ::android::hardware::bluetooth::audio::V2_1::SampleRate;
+
+using SessionType_2_1 =
+    ::android::hardware::bluetooth::audio::V2_1::SessionType;
+using SessionType_2_0 =
+    ::android::hardware::bluetooth::audio::V2_0::SessionType;
+
+namespace {
+bool is_2_0_session_type(
+    const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+        session_type) {
+  if (session_type == SessionType_2_1::A2DP_SOFTWARE_ENCODING_DATAPATH ||
+      session_type == SessionType_2_1::A2DP_HARDWARE_OFFLOAD_DATAPATH ||
+      session_type == SessionType_2_1::HEARING_AID_SOFTWARE_ENCODING_DATAPATH) {
+    return true;
+  } else {
+    return false;
+  }
+}
+}  // namespace
+
+static const ::android::hardware::bluetooth::audio::V2_1::PcmParameters
+    kDefaultSoftwarePcmCapabilities_2_1 = {
+        .sampleRate = static_cast<SampleRate_2_1>(
+            SampleRate_2_1::RATE_44100 | SampleRate_2_1::RATE_48000 |
+            SampleRate_2_1::RATE_88200 | SampleRate_2_1::RATE_96000 |
+            SampleRate_2_1::RATE_16000 | SampleRate_2_1::RATE_24000),
+        .channelMode =
+            static_cast<ChannelMode>(ChannelMode::MONO | ChannelMode::STEREO),
+        .bitsPerSample = static_cast<BitsPerSample>(BitsPerSample::BITS_16 |
+                                                    BitsPerSample::BITS_24 |
+                                                    BitsPerSample::BITS_32)};
+
+std::vector<::android::hardware::bluetooth::audio::V2_1::PcmParameters>
+GetSoftwarePcmCapabilities_2_1() {
+  return std::vector<
+      ::android::hardware::bluetooth::audio::V2_1::PcmParameters>(
+      1, kDefaultSoftwarePcmCapabilities_2_1);
+}
+
+std::vector<CodecCapabilities> GetOffloadCodecCapabilities(
+    const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+        session_type) {
+  if (is_2_0_session_type(session_type)) {
+    return GetOffloadCodecCapabilities(
+        static_cast<SessionType_2_0>(session_type));
+  }
+  return std::vector<CodecCapabilities>(0);
+}
+
+bool IsSoftwarePcmConfigurationValid_2_1(
+    const ::android::hardware::bluetooth::audio::V2_1::PcmParameters&
+        pcm_config) {
+  if ((pcm_config.sampleRate != SampleRate_2_1::RATE_44100 &&
+       pcm_config.sampleRate != SampleRate_2_1::RATE_48000 &&
+       pcm_config.sampleRate != SampleRate_2_1::RATE_88200 &&
+       pcm_config.sampleRate != SampleRate_2_1::RATE_96000 &&
+       pcm_config.sampleRate != SampleRate_2_1::RATE_16000 &&
+       pcm_config.sampleRate != SampleRate_2_1::RATE_24000) ||
+      (pcm_config.bitsPerSample != BitsPerSample::BITS_16 &&
+       pcm_config.bitsPerSample != BitsPerSample::BITS_24 &&
+       pcm_config.bitsPerSample != BitsPerSample::BITS_32) ||
+      (pcm_config.channelMode != ChannelMode::MONO &&
+       pcm_config.channelMode != ChannelMode::STEREO)) {
+    LOG(WARNING) << __func__
+                 << ": Invalid PCM Configuration=" << toString(pcm_config);
+    return false;
+  } else if (pcm_config.sampleRate &
+                 kDefaultSoftwarePcmCapabilities_2_1.sampleRate &&
+             pcm_config.bitsPerSample &
+                 kDefaultSoftwarePcmCapabilities_2_1.bitsPerSample &&
+             pcm_config.channelMode &
+                 kDefaultSoftwarePcmCapabilities_2_1.channelMode &&
+             pcm_config.dataIntervalUs != 0) {
+    return true;
+  }
+  LOG(WARNING) << __func__
+               << ": Unsupported PCM Configuration=" << toString(pcm_config);
+  return false;
+}
+
+bool IsOffloadCodecConfigurationValid(
+    const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+        session_type,
+    const ::android::hardware::bluetooth::audio::V2_0::CodecConfiguration&
+        codec_config) {
+  if (is_2_0_session_type(session_type)) {
+    return IsOffloadCodecConfigurationValid(
+        static_cast<SessionType_2_0>(session_type), codec_config);
+  }
+
+  return false;
+}
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB_2_1.h b/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB_2_1.h
new file mode 100644
index 0000000..746d9c0
--- /dev/null
+++ b/bluetooth/audio/utils/session/BluetoothAudioSupportedCodecsDB_2_1.h
@@ -0,0 +1,46 @@
+/*
+ * Copyright 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include "BluetoothAudioSupportedCodecsDB.h"
+
+#include <android/hardware/bluetooth/audio/2.1/types.h>
+
+namespace android {
+namespace bluetooth {
+namespace audio {
+
+std::vector<::android::hardware::bluetooth::audio::V2_1::PcmParameters>
+GetSoftwarePcmCapabilities_2_1();
+std::vector<::android::hardware::bluetooth::audio::V2_0::CodecCapabilities>
+GetOffloadCodecCapabilities(
+    const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+        session_type);
+
+bool IsSoftwarePcmConfigurationValid_2_1(
+    const ::android::hardware::bluetooth::audio::V2_1::PcmParameters&
+        pcm_config);
+
+bool IsOffloadCodecConfigurationValid(
+    const ::android::hardware::bluetooth::audio::V2_1::SessionType&
+        session_type,
+    const ::android::hardware::bluetooth::audio::V2_0::CodecConfiguration&
+        codec_config);
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/camera/provider/2.4/default/service.cpp b/camera/provider/2.4/default/service.cpp
index 84f4839..0a4f787 100644
--- a/camera/provider/2.4/default/service.cpp
+++ b/camera/provider/2.4/default/service.cpp
@@ -22,9 +22,9 @@
 
 #include <android/hardware/camera/provider/2.4/ICameraProvider.h>
 #include <binder/ProcessState.h>
-#include <cutils/memory.h>
 #include <cutils/properties.h>
 #include <hidl/LegacySupport.h>
+#include <malloc.h>
 
 using android::status_t;
 using android::hardware::defaultLazyPassthroughServiceImplementation;
@@ -46,7 +46,13 @@
 
     // b/166675194
     if (property_get_bool("ro.vendor.camera.provider24.disable_mem_init", false)) {
-        process_disable_memory_mitigations();
+        if (mallopt(M_BIONIC_ZERO_INIT, 0) == 0) {
+            // Note - heap initialization is only present on devices with Scudo.
+            // Devices with jemalloc don't have heap-init, and thus the mallopt
+            // will fail. On these devices, you probably just want to remove the
+            // property.
+            ALOGE("Disabling heap initialization failed.");
+        }
     }
 
     status_t status;
diff --git a/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp b/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp
index 9e2b077..d621344 100644
--- a/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp
+++ b/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp
@@ -888,6 +888,8 @@
     static Status getSystemCameraKind(const camera_metadata_t* staticMeta,
                                       SystemCameraKind* systemCameraKind);
 
+    static V3_2::DataspaceFlags getDataspace(PixelFormat format);
+
     void processCaptureRequestInternal(uint64_t bufferusage, RequestTemplate reqTemplate,
                                        bool useSecureOnlyCameras);
 
@@ -3196,7 +3198,6 @@
     }
 }
 
-
 // Verify that all supported stream formats and sizes can be configured
 // successfully.
 TEST_P(CameraHidlTest, configureStreamsAvailableOutputs) {
@@ -3239,17 +3240,7 @@
         uint32_t streamConfigCounter = 0;
         for (auto& it : outputStreams) {
             V3_2::Stream stream3_2;
-            V3_2::DataspaceFlags dataspaceFlag = 0;
-            switch (static_cast<PixelFormat>(it.format)) {
-                case PixelFormat::BLOB:
-                    dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::V0_JFIF);
-                    break;
-                case PixelFormat::Y16:
-                    dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::DEPTH);
-                    break;
-                default:
-                    dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::UNKNOWN);
-            }
+            V3_2::DataspaceFlags dataspaceFlag = getDataspace(static_cast<PixelFormat>(it.format));
             stream3_2 = {streamId,
                              StreamType::OUTPUT,
                              static_cast<uint32_t>(it.width),
@@ -3369,17 +3360,8 @@
             size_t j = 0;
             for (const auto& it : outputStreams) {
                 V3_2::Stream stream3_2;
-                V3_2::DataspaceFlags dataspaceFlag = 0;
-                switch (static_cast<PixelFormat>(it.format)) {
-                    case PixelFormat::BLOB:
-                        dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::V0_JFIF);
-                        break;
-                    case PixelFormat::Y16:
-                        dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::DEPTH);
-                        break;
-                    default:
-                        dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::UNKNOWN);
-                }
+                V3_2::DataspaceFlags dataspaceFlag = getDataspace(
+                        static_cast<PixelFormat>(it.format));
                 stream3_2 = {streamId++,
                              StreamType::OUTPUT,
                              static_cast<uint32_t>(it.width),
@@ -5919,6 +5901,23 @@
     return ret;
 }
 
+// Select an appropriate dataspace given a specific pixel format.
+V3_2::DataspaceFlags CameraHidlTest::getDataspace(PixelFormat format) {
+    switch (format) {
+        case PixelFormat::BLOB:
+            return static_cast<V3_2::DataspaceFlags>(Dataspace::V0_JFIF);
+        case PixelFormat::Y16:
+            return static_cast<V3_2::DataspaceFlags>(Dataspace::DEPTH);
+        case PixelFormat::RAW16:
+        case PixelFormat::RAW_OPAQUE:
+        case PixelFormat::RAW10:
+        case PixelFormat::RAW12:
+            return  static_cast<V3_2::DataspaceFlags>(Dataspace::ARBITRARY);
+        default:
+            return static_cast<V3_2::DataspaceFlags>(Dataspace::UNKNOWN);
+    }
+}
+
 // Check whether this is a monochrome camera using the static camera characteristics.
 Status CameraHidlTest::isMonochromeCamera(const camera_metadata_t *staticMeta) {
     Status ret = Status::METHOD_NOT_SUPPORTED;
@@ -6293,17 +6292,8 @@
     ASSERT_EQ(Status::OK, rc);
     ASSERT_FALSE(outputStreams.empty());
 
-    V3_2::DataspaceFlags dataspaceFlag = 0;
-    switch (static_cast<PixelFormat>(outputStreams[idx].format)) {
-        case PixelFormat::BLOB:
-            dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::V0_JFIF);
-            break;
-        case PixelFormat::Y16:
-            dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::DEPTH);
-            break;
-        default:
-            dataspaceFlag = static_cast<V3_2::DataspaceFlags>(Dataspace::UNKNOWN);
-    }
+    V3_2::DataspaceFlags dataspaceFlag = getDataspace(
+            static_cast<PixelFormat>(outputStreams[idx].format));
 
     ::android::hardware::hidl_vec<V3_4::Stream> streams3_4(/*size*/1);
     V3_4::Stream stream3_4 = {{ 0 /*streamId*/, StreamType::OUTPUT,
diff --git a/cas/1.0/default/Android.bp b/cas/1.0/default/Android.bp
index f9977ff..70f4371 100644
--- a/cas/1.0/default/Android.bp
+++ b/cas/1.0/default/Android.bp
@@ -12,7 +12,7 @@
       "TypeConvert.cpp",
     ],
 
-    compile_multilib: "32",
+    compile_multilib: "prefer32",
 
     shared_libs: [
       "android.hardware.cas@1.0",
diff --git a/cas/1.0/default/FactoryLoader.h b/cas/1.0/default/FactoryLoader.h
index 18c2186..45e515a 100644
--- a/cas/1.0/default/FactoryLoader.h
+++ b/cas/1.0/default/FactoryLoader.h
@@ -92,7 +92,12 @@
     }
 
     // no luck, have to search
+#ifdef __LP64__
+    String8 dirPath("/vendor/lib64/mediacas");
+#else
     String8 dirPath("/vendor/lib/mediacas");
+#endif
+
     DIR* pDir = opendir(dirPath.string());
 
     if (pDir == NULL) {
@@ -127,7 +132,12 @@
 
     results->clear();
 
+#ifdef __LP64__
+    String8 dirPath("/vendor/lib64/mediacas");
+#else
     String8 dirPath("/vendor/lib/mediacas");
+#endif
+
     DIR* pDir = opendir(dirPath.string());
 
     if (pDir == NULL) {
diff --git a/cas/1.1/default/Android.bp b/cas/1.1/default/Android.bp
index 66a1eb8..8e1f207 100644
--- a/cas/1.1/default/Android.bp
+++ b/cas/1.1/default/Android.bp
@@ -12,7 +12,7 @@
       "TypeConvert.cpp",
     ],
 
-    compile_multilib: "32",
+    compile_multilib: "prefer32",
 
     shared_libs: [
       "android.hardware.cas@1.0",
diff --git a/cas/1.1/default/FactoryLoader.h b/cas/1.1/default/FactoryLoader.h
index c4a48e2..121f90c 100644
--- a/cas/1.1/default/FactoryLoader.h
+++ b/cas/1.1/default/FactoryLoader.h
@@ -85,7 +85,11 @@
     }
 
     // no luck, have to search
+#ifdef __LP64__
+    String8 dirPath("/vendor/lib64/mediacas");
+#else
     String8 dirPath("/vendor/lib/mediacas");
+#endif
     DIR* pDir = opendir(dirPath.string());
 
     if (pDir == NULL) {
@@ -118,7 +122,11 @@
 
     results->clear();
 
+#ifdef __LP64__
+    String8 dirPath("/vendor/lib64/mediacas");
+#else
     String8 dirPath("/vendor/lib/mediacas");
+#endif
     DIR* pDir = opendir(dirPath.string());
 
     if (pDir == NULL) {
diff --git a/cas/1.2/default/Android.bp b/cas/1.2/default/Android.bp
index 9e53148..d855e85 100644
--- a/cas/1.2/default/Android.bp
+++ b/cas/1.2/default/Android.bp
@@ -12,7 +12,7 @@
       "TypeConvert.cpp",
     ],
 
-    compile_multilib: "32",
+    compile_multilib: "prefer32",
 
     shared_libs: [
       "android.hardware.cas@1.0",
diff --git a/cas/1.2/default/FactoryLoader.h b/cas/1.2/default/FactoryLoader.h
index 7403f86..a374b31 100644
--- a/cas/1.2/default/FactoryLoader.h
+++ b/cas/1.2/default/FactoryLoader.h
@@ -85,7 +85,11 @@
     }
 
     // no luck, have to search
+#ifdef __LP64__
+    String8 dirPath("/vendor/lib64/mediacas");
+#else
     String8 dirPath("/vendor/lib/mediacas");
+#endif
     DIR* pDir = opendir(dirPath.string());
 
     if (pDir == NULL) {
@@ -118,7 +122,11 @@
 
     results->clear();
 
+#ifdef __LP64__
+    String8 dirPath("/vendor/lib64/mediacas");
+#else
     String8 dirPath("/vendor/lib/mediacas");
+#endif
     DIR* pDir = opendir(dirPath.string());
 
     if (pDir == NULL) {
diff --git a/compatibility_matrices/compatibility_matrix.3.xml b/compatibility_matrices/compatibility_matrix.3.xml
index 5888ab9..608890b 100644
--- a/compatibility_matrices/compatibility_matrix.3.xml
+++ b/compatibility_matrices/compatibility_matrix.3.xml
@@ -310,6 +310,10 @@
             <instance>slot2</instance>
             <instance>slot3</instance>
         </interface>
+    </hal>
+    <hal format="hidl" optional="true">
+        <name>android.hardware.radio</name>
+        <version>1.0-2</version>
         <interface>
             <name>ISap</name>
             <instance>slot1</instance>
diff --git a/compatibility_matrices/compatibility_matrix.4.xml b/compatibility_matrices/compatibility_matrix.4.xml
index 5e1266e..e5e012c 100644
--- a/compatibility_matrices/compatibility_matrix.4.xml
+++ b/compatibility_matrices/compatibility_matrix.4.xml
@@ -432,7 +432,6 @@
     <hal format="hidl" optional="true">
         <name>android.hardware.tv.cec</name>
         <version>1.0</version>
-        <version>2.0</version>
         <interface>
             <name>IHdmiCec</name>
             <instance>default</instance>
diff --git a/compatibility_matrices/compatibility_matrix.5.xml b/compatibility_matrices/compatibility_matrix.5.xml
index 8bc663d..e772b6f 100644
--- a/compatibility_matrices/compatibility_matrix.5.xml
+++ b/compatibility_matrices/compatibility_matrix.5.xml
@@ -467,7 +467,6 @@
     <hal format="hidl" optional="true">
         <name>android.hardware.tv.cec</name>
         <version>1.0</version>
-        <version>2.0</version>
         <interface>
             <name>IHdmiCec</name>
             <instance>default</instance>
diff --git a/compatibility_matrices/compatibility_matrix.current.xml b/compatibility_matrices/compatibility_matrix.current.xml
index 864ef66..871b325 100644
--- a/compatibility_matrices/compatibility_matrix.current.xml
+++ b/compatibility_matrices/compatibility_matrix.current.xml
@@ -73,6 +73,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.automotive.occupant_awareness</name>
+        <version>1</version>
         <interface>
             <name>IOccupantAwareness</name>
             <instance>default</instance>
@@ -82,7 +83,7 @@
         <name>android.hardware.automotive.sv</name>
         <version>1.0</version>
         <interface>
-            <name>ISurroundView</name>
+            <name>ISurroundViewService</name>
             <instance>default</instance>
         </interface>
     </hal>
@@ -336,6 +337,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.security.keymint</name>
+        <version>1</version>
         <interface>
             <name>IKeyMintDevice</name>
             <instance>default</instance>
@@ -344,6 +346,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.light</name>
+        <version>1</version>
         <interface>
             <name>ILights</name>
             <instance>default</instance>
@@ -372,6 +375,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.memtrack</name>
+        <version>1</version>
         <interface>
             <name>IMemtrack</name>
             <instance>default</instance>
@@ -393,6 +397,13 @@
             <regex-instance>.*</regex-instance>
         </interface>
     </hal>
+    <hal format="aidl" optional="true">
+        <name>android.hardware.neuralnetworks</name>
+        <interface>
+            <name>IDevice</name>
+            <regex-instance>.*</regex-instance>
+        </interface>
+    </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.nfc</name>
         <version>1.2</version>
@@ -411,6 +422,7 @@
     </hal>
     <hal format="aidl" optional="false">
         <name>android.hardware.power</name>
+        <version>1</version>
         <interface>
             <name>IPower</name>
             <instance>default</instance>
@@ -470,6 +482,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.rebootescrow</name>
+        <version>1</version>
         <interface>
             <name>IRebootEscrow</name>
             <instance>default</instance>
@@ -486,6 +499,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.security.secureclock</name>
+        <version>1</version>
         <interface>
             <name>ISecureClock</name>
             <instance>default</instance>
@@ -493,6 +507,7 @@
     </hal>
     <hal format="aidl" optional="true">
         <name>android.hardware.security.sharedsecret</name>
+        <version>1</version>
         <interface>
             <name>ISharedSecret</name>
             <instance>default</instance>
@@ -509,7 +524,7 @@
     </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.soundtrigger</name>
-        <version>2.0-3</version>
+        <version>2.3</version>
         <interface>
             <name>ISoundTriggerHw</name>
             <instance>default</instance>
@@ -525,7 +540,7 @@
     </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.tetheroffload.control</name>
-        <version>1.0</version>
+        <version>1.1</version>
         <interface>
             <name>IOffloadControl</name>
             <instance>default</instance>
@@ -542,7 +557,6 @@
     <hal format="hidl" optional="true">
         <name>android.hardware.tv.cec</name>
         <version>1.0</version>
-        <version>2.0</version>
         <interface>
             <name>IHdmiCec</name>
             <instance>default</instance>
diff --git a/compatibility_matrices/exclude/fcm_exclude.cpp b/compatibility_matrices/exclude/fcm_exclude.cpp
index 6725a98..e67c892 100644
--- a/compatibility_matrices/exclude/fcm_exclude.cpp
+++ b/compatibility_matrices/exclude/fcm_exclude.cpp
@@ -67,7 +67,7 @@
             // TODO(b/171260360) Remove when HAL definition is removed
             "android.hardware.audio.effect@2.0",
             "android.hardware.audio@2.0",
-            // TODO(b/171260613) Remove when HAL definition is removed
+            // Health 1.0 HAL is deprecated. The top level interface are deleted.
             "android.hardware.health@1.0",
             // TODO(b/171260670) Remove when HAL definition is removed
             "android.hardware.nfc@1.0",
diff --git a/drm/1.0/default/CryptoPlugin.cpp b/drm/1.0/default/CryptoPlugin.cpp
index 2db3607..e6d4e84 100644
--- a/drm/1.0/default/CryptoPlugin.cpp
+++ b/drm/1.0/default/CryptoPlugin.cpp
@@ -124,7 +124,11 @@
             return Void();
         }
 
-        if (source.offset + offset + source.size > sourceBase->getSize()) {
+        size_t totalSize = 0;
+        if (__builtin_add_overflow(source.offset, offset, &totalSize) ||
+            __builtin_add_overflow(totalSize, source.size, &totalSize) ||
+            totalSize > sourceBase->getSize()) {
+            android_errorWriteLog(0x534e4554, "176496160");
             _hidl_cb(Status::ERROR_DRM_CANNOT_HANDLE, 0, "invalid buffer size");
             return Void();
         }
diff --git a/drm/1.4/Android.bp b/drm/1.4/Android.bp
index 8e1dc93..f40ff87 100644
--- a/drm/1.4/Android.bp
+++ b/drm/1.4/Android.bp
@@ -8,6 +8,7 @@
         "ICryptoPlugin.hal",
         "IDrmFactory.hal",
         "IDrmPlugin.hal",
+        "types.hal",
     ],
     interfaces: [
         "android.hardware.drm@1.0",
diff --git a/drm/1.4/ICryptoPlugin.hal b/drm/1.4/ICryptoPlugin.hal
index 874ef4c..addfdd0 100644
--- a/drm/1.4/ICryptoPlugin.hal
+++ b/drm/1.4/ICryptoPlugin.hal
@@ -16,6 +16,8 @@
 package android.hardware.drm@1.4;
 
 import @1.2::ICryptoPlugin;
+import @1.4::LogMessage;
+import @1.4::Status;
 
 /**
  * ICryptoPlugin is the HAL for vendor-provided crypto plugins.
@@ -23,4 +25,15 @@
  * load crypto keys for a codec to decrypt protected video content.
  */
 interface ICryptoPlugin extends @1.2::ICryptoPlugin {
+
+    /**
+     * @return logMessages latest plugin level log messages. Can be used
+     *     by apps in diagnosis of errors.
+     * @return status the status of the call. The status must be:
+     *     OK on success;
+     *     GENERAL_OEM_ERROR on OEM-provided, low-level component failures;
+     *     GENERAL_PLUGIN_ERROR on unexpected plugin-level errors.
+     */
+    getLogMessages() generates (@1.4::Status status, vec<LogMessage> logMessages);
+
 };
diff --git a/drm/1.4/IDrmPlugin.hal b/drm/1.4/IDrmPlugin.hal
index e8af230..df04b9f 100644
--- a/drm/1.4/IDrmPlugin.hal
+++ b/drm/1.4/IDrmPlugin.hal
@@ -19,6 +19,8 @@
 import @1.0::SessionId;
 import @1.1::SecurityLevel;
 import @1.2::IDrmPlugin;
+import @1.4::LogMessage;
+import @1.4::Status;
 
 /**
  * IDrmPlugin is used to interact with a specific drm plugin that was
@@ -61,4 +63,14 @@
      */
     setPlaybackId(SessionId sessionId, string playbackId) generates (@1.0::Status status);
 
+    /**
+     * @return logMessages latest plugin level log messages. Can be used
+     *     by apps in diagnosis of errors.
+     * @return status the status of the call. The status must be:
+     *     OK on success;
+     *     GENERAL_OEM_ERROR on OEM-provided, low-level component failures;
+     *     GENERAL_PLUGIN_ERROR on unexpected plugin-level errors.
+     */
+    getLogMessages() generates (@1.4::Status status, vec<LogMessage> logMessages);
+
 };
diff --git a/drm/1.4/types.hal b/drm/1.4/types.hal
new file mode 100644
index 0000000..706c3aa
--- /dev/null
+++ b/drm/1.4/types.hal
@@ -0,0 +1,51 @@
+/**
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.drm@1.4;
+
+import @1.2::Status;
+
+enum LogPriority : uint32_t {
+  ERROR,
+  WARN,
+  INFO,
+  DEBUG,
+  VERBOSE
+};
+
+/**
+ * Returned by getLogMessages to report error diagnostics to the
+ * app.
+ */
+struct LogMessage {
+  int64_t timeMs;
+  LogPriority priority;
+  string message;
+};
+
+enum Status : @1.2::Status {
+
+    /**
+     * Non-specific error reported by the device OEM subsystem.
+     */
+    GENERAL_OEM_ERROR,
+
+    /**
+     * Unexpected internal failure in the drm/crypto plugin.
+     */
+    GENERAL_PLUGIN_ERROR,
+
+};
diff --git a/gnss/1.1/default/Android.bp b/gnss/1.1/default/Android.bp
index ef43a34..6853ad9 100644
--- a/gnss/1.1/default/Android.bp
+++ b/gnss/1.1/default/Android.bp
@@ -18,7 +18,7 @@
         "android.hardware.gnss@2.0",
         "android.hardware.gnss@1.1",
         "android.hardware.gnss@1.0",
-        "android.hardware.gnss-ndk_platform",
+        "android.hardware.gnss-V1-ndk_platform",
     ],
     static_libs: [
         "android.hardware.gnss@common-default-lib",
diff --git a/gnss/2.0/default/Android.bp b/gnss/2.0/default/Android.bp
index 7da462f..be04553 100644
--- a/gnss/2.0/default/Android.bp
+++ b/gnss/2.0/default/Android.bp
@@ -41,7 +41,7 @@
         "android.hardware.gnss@2.0",
         "android.hardware.gnss@1.1",
         "android.hardware.gnss@1.0",
-        "android.hardware.gnss-ndk_platform",
+        "android.hardware.gnss-V1-ndk_platform",
     ],
     static_libs: [
         "android.hardware.gnss@common-default-lib",
diff --git a/gnss/2.1/default/Android.bp b/gnss/2.1/default/Android.bp
index 63e5013..7c4b9c6 100644
--- a/gnss/2.1/default/Android.bp
+++ b/gnss/2.1/default/Android.bp
@@ -34,7 +34,7 @@
         "android.hardware.gnss@1.0",
         "android.hardware.gnss@1.1",
         "android.hardware.gnss@2.0",
-        "android.hardware.gnss-ndk_platform",
+        "android.hardware.gnss-V1-ndk_platform",
     ],
     static_libs: [
         "android.hardware.gnss@common-default-lib",
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/BlocklistedSource.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/BlocklistedSource.aidl
index 0302676..11cdcfc 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/BlocklistedSource.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/BlocklistedSource.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/CorrelationVector.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/CorrelationVector.aidl
index 1f713fa..2d21748 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/CorrelationVector.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/CorrelationVector.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/ElapsedRealtime.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/ElapsedRealtime.aidl
index 933f659..fbcc8a3 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/ElapsedRealtime.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/ElapsedRealtime.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssClock.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssClock.aidl
index 53ac0ef..15fe2e9 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssClock.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssClock.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssConstellationType.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssConstellationType.aidl
index 18fdfa9..f873b87 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssConstellationType.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssConstellationType.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssData.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssData.aidl
index 73ead10..9e05db7 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssData.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssData.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMeasurement.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMeasurement.aidl
index 3d287e4..728ff68 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMeasurement.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMeasurement.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMultipathIndicator.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMultipathIndicator.aidl
index 5da60f7..b9db343 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMultipathIndicator.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssMultipathIndicator.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssPowerStats.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssPowerStats.aidl
index 358b570..6676e2e 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssPowerStats.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssPowerStats.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssSignalType.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssSignalType.aidl
index b2a498d..f729d4c 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssSignalType.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/GnssSignalType.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnss.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnss.aidl
index bd6f1ff..10b05a7 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnss.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnss.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
@@ -26,4 +40,6 @@
   android.hardware.gnss.IGnssMeasurementInterface getExtensionGnssMeasurement();
   android.hardware.gnss.IGnssPowerIndication getExtensionGnssPowerIndication();
   const int ERROR_INVALID_ARGUMENT = 1;
+  const int ERROR_ALREADY_INIT = 2;
+  const int ERROR_GENERIC = 3;
 }
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssCallback.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssCallback.aidl
index a0c4255..9ad9159 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssCallback.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssCallback.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssConfiguration.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssConfiguration.aidl
index eb4ad82..20dd781 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssConfiguration.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssConfiguration.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementCallback.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementCallback.aidl
index 764b896..93894bf 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementCallback.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementCallback.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementInterface.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementInterface.aidl
index 7cb7395..07a51ae 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementInterface.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssMeasurementInterface.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndication.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndication.aidl
index c44903e..1cc7f71 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndication.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndication.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndicationCallback.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndicationCallback.aidl
index 12e6762..01f91dc 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndicationCallback.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPowerIndicationCallback.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsds.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsds.aidl
index cae2ea6..1758792 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsds.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsds.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsdsCallback.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsdsCallback.aidl
index 6888632..a1af105 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsdsCallback.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/IGnssPsdsCallback.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/PsdsType.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/PsdsType.aidl
index d348c63..b387121 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/PsdsType.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/PsdsType.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteClockInfo.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteClockInfo.aidl
index bdba667..4dd45b2 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteClockInfo.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteClockInfo.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePositionEcef.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePositionEcef.aidl
index 550fa4d..c96b2e5 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePositionEcef.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePositionEcef.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl
index 4ff025e..95af152 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteVelocityEcef.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteVelocityEcef.aidl
index 7db7ee6..558aec9 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteVelocityEcef.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatelliteVelocityEcef.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/gnss/aidl/android/hardware/gnss/IGnss.aidl b/gnss/aidl/android/hardware/gnss/IGnss.aidl
index c815e2d..f99b512 100644
--- a/gnss/aidl/android/hardware/gnss/IGnss.aidl
+++ b/gnss/aidl/android/hardware/gnss/IGnss.aidl
@@ -34,6 +34,12 @@
      */
     const int ERROR_INVALID_ARGUMENT = 1;
 
+    /** A callback has already been registered. */
+    const int ERROR_ALREADY_INIT = 2;
+
+    /** Any other error. */
+    const int ERROR_GENERIC = 3;
+
     /**
      * Opens the interface and provides the callback routines to the implementation of this
      * interface.
diff --git a/gnss/aidl/android/hardware/gnss/IGnssMeasurementInterface.aidl b/gnss/aidl/android/hardware/gnss/IGnssMeasurementInterface.aidl
index 04cdf64..08c83a4 100644
--- a/gnss/aidl/android/hardware/gnss/IGnssMeasurementInterface.aidl
+++ b/gnss/aidl/android/hardware/gnss/IGnssMeasurementInterface.aidl
@@ -40,10 +40,9 @@
      * @param enableCorrVecOutputs If true, enable correlation vectors as part of the raw GNSS
      *     measurements outputs. If false, disable correlation vectors.
      *
-     * @return initRet Returns SUCCESS if successful. Returns ERROR_ALREADY_INIT if a callback has
-     *     already been registered without a corresponding call to 'close'. Returns ERROR_GENERIC
-     *     for any other error. The HAL must not generate any other updates upon returning this
-     *     error code.
+     * Returns ok() if successful. Returns ERROR_ALREADY_INIT if a callback has already been
+     * registered without a corresponding call to 'close'. Returns ERROR_GENERIC for any other
+     * error. The HAL must not generate any other updates upon returning this error code.
      */
     void setCallback(in IGnssMeasurementCallback callback, in boolean enableFullTracking,
                      in boolean enableCorrVecOutputs);
diff --git a/gnss/aidl/default/Android.bp b/gnss/aidl/default/Android.bp
index 6694ce6..b56a701 100644
--- a/gnss/aidl/default/Android.bp
+++ b/gnss/aidl/default/Android.bp
@@ -42,7 +42,7 @@
         "android.hardware.gnss.measurement_corrections@1.1",
         "android.hardware.gnss.measurement_corrections@1.0",
         "android.hardware.gnss.visibility_control@1.0",
-        "android.hardware.gnss-ndk_platform",
+        "android.hardware.gnss-V1-ndk_platform",
     ],
     srcs: [
         "Gnss.cpp",
diff --git a/gnss/aidl/vts/Android.bp b/gnss/aidl/vts/Android.bp
index c10e809..7cdc339 100644
--- a/gnss/aidl/vts/Android.bp
+++ b/gnss/aidl/vts/Android.bp
@@ -34,7 +34,7 @@
         "libbinder",
     ],
     static_libs: [
-        "android.hardware.gnss-cpp",
+        "android.hardware.gnss-V1-cpp",
         "android.hardware.gnss@common-vts-lib",
     ],
     test_suites: [
diff --git a/gnss/common/utils/default/Android.bp b/gnss/common/utils/default/Android.bp
index be1d532..c44968d 100644
--- a/gnss/common/utils/default/Android.bp
+++ b/gnss/common/utils/default/Android.bp
@@ -42,6 +42,6 @@
         "android.hardware.gnss@2.1",
         "android.hardware.gnss.measurement_corrections@1.1",
         "android.hardware.gnss.measurement_corrections@1.0",
-        "android.hardware.gnss-ndk_platform",
+        "android.hardware.gnss-V1-ndk_platform",
     ],
 }
diff --git a/graphics/allocator/2.0/default/OWNERS b/graphics/allocator/2.0/default/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/allocator/2.0/default/OWNERS
+++ b/graphics/allocator/2.0/default/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/allocator/2.0/utils/OWNERS b/graphics/allocator/2.0/utils/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/allocator/2.0/utils/OWNERS
+++ b/graphics/allocator/2.0/utils/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/composer/2.1/default/OWNERS b/graphics/composer/2.1/default/OWNERS
index db8fb80..709c4d1 100644
--- a/graphics/composer/2.1/default/OWNERS
+++ b/graphics/composer/2.1/default/OWNERS
@@ -1,6 +1,3 @@
 # Graphics team
-courtneygo@google.com
-jessehall@google.com
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.1/utils/OWNERS b/graphics/composer/2.1/utils/OWNERS
index 5acc631..7af69b4 100644
--- a/graphics/composer/2.1/utils/OWNERS
+++ b/graphics/composer/2.1/utils/OWNERS
@@ -1,5 +1,2 @@
-courtneygo@google.com
-jessehall@google.com
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.2/default/OWNERS b/graphics/composer/2.2/default/OWNERS
index db8fb80..709c4d1 100644
--- a/graphics/composer/2.2/default/OWNERS
+++ b/graphics/composer/2.2/default/OWNERS
@@ -1,6 +1,3 @@
 # Graphics team
-courtneygo@google.com
-jessehall@google.com
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.2/utils/OWNERS b/graphics/composer/2.2/utils/OWNERS
index 3f1e82c..709c4d1 100644
--- a/graphics/composer/2.2/utils/OWNERS
+++ b/graphics/composer/2.2/utils/OWNERS
@@ -1,5 +1,3 @@
 # Graphics team
-courtneygo@google.com
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.2/vts/functional/OWNERS b/graphics/composer/2.2/vts/functional/OWNERS
index a17a50c..ea06752 100644
--- a/graphics/composer/2.2/vts/functional/OWNERS
+++ b/graphics/composer/2.2/vts/functional/OWNERS
@@ -1,8 +1,6 @@
 # Graphics team
-courtneygo@google.com
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
 
 # VTS team
 yim@google.com
diff --git a/graphics/composer/2.3/default/OWNERS b/graphics/composer/2.3/default/OWNERS
index 820ebe6..709c4d1 100644
--- a/graphics/composer/2.3/default/OWNERS
+++ b/graphics/composer/2.3/default/OWNERS
@@ -1,5 +1,3 @@
 # Graphics team
-jessehall@google.com
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.3/utils/OWNERS b/graphics/composer/2.3/utils/OWNERS
index cc6d937..709c4d1 100644
--- a/graphics/composer/2.3/utils/OWNERS
+++ b/graphics/composer/2.3/utils/OWNERS
@@ -1,4 +1,3 @@
 # Graphics team
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.3/vts/functional/OWNERS b/graphics/composer/2.3/vts/functional/OWNERS
index b3ea6be..ea06752 100644
--- a/graphics/composer/2.3/vts/functional/OWNERS
+++ b/graphics/composer/2.3/vts/functional/OWNERS
@@ -1,7 +1,6 @@
 # Graphics team
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
 
 # VTS team
 yim@google.com
diff --git a/graphics/composer/2.4/default/OWNERS b/graphics/composer/2.4/default/OWNERS
index cc6d937..709c4d1 100644
--- a/graphics/composer/2.4/default/OWNERS
+++ b/graphics/composer/2.4/default/OWNERS
@@ -1,4 +1,3 @@
 # Graphics team
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.4/utils/OWNERS b/graphics/composer/2.4/utils/OWNERS
index cc6d937..709c4d1 100644
--- a/graphics/composer/2.4/utils/OWNERS
+++ b/graphics/composer/2.4/utils/OWNERS
@@ -1,4 +1,3 @@
 # Graphics team
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
diff --git a/graphics/composer/2.4/vts/functional/OWNERS b/graphics/composer/2.4/vts/functional/OWNERS
index b3ea6be..ea06752 100644
--- a/graphics/composer/2.4/vts/functional/OWNERS
+++ b/graphics/composer/2.4/vts/functional/OWNERS
@@ -1,7 +1,6 @@
 # Graphics team
+adyabr@google.com
 lpy@google.com
-stoza@google.com
-vhau@google.com
 
 # VTS team
 yim@google.com
diff --git a/graphics/mapper/2.0/default/OWNERS b/graphics/mapper/2.0/default/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/2.0/default/OWNERS
+++ b/graphics/mapper/2.0/default/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/2.0/utils/OWNERS b/graphics/mapper/2.0/utils/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/2.0/utils/OWNERS
+++ b/graphics/mapper/2.0/utils/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/2.0/vts/OWNERS b/graphics/mapper/2.0/vts/OWNERS
index 11b7d21..4177296 100644
--- a/graphics/mapper/2.0/vts/OWNERS
+++ b/graphics/mapper/2.0/vts/OWNERS
@@ -1,7 +1,7 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
 
 # VTS team
 yim@google.com
diff --git a/graphics/mapper/2.1/default/OWNERS b/graphics/mapper/2.1/default/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/2.1/default/OWNERS
+++ b/graphics/mapper/2.1/default/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/2.1/utils/OWNERS b/graphics/mapper/2.1/utils/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/2.1/utils/OWNERS
+++ b/graphics/mapper/2.1/utils/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/2.1/vts/OWNERS b/graphics/mapper/2.1/vts/OWNERS
index 11b7d21..4177296 100644
--- a/graphics/mapper/2.1/vts/OWNERS
+++ b/graphics/mapper/2.1/vts/OWNERS
@@ -1,7 +1,7 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
 
 # VTS team
 yim@google.com
diff --git a/graphics/mapper/3.0/utils/OWNERS b/graphics/mapper/3.0/utils/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/3.0/utils/OWNERS
+++ b/graphics/mapper/3.0/utils/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/3.0/vts/OWNERS b/graphics/mapper/3.0/vts/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/3.0/vts/OWNERS
+++ b/graphics/mapper/3.0/vts/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/4.0/utils/OWNERS b/graphics/mapper/4.0/utils/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/4.0/utils/OWNERS
+++ b/graphics/mapper/4.0/utils/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/4.0/vts/OWNERS b/graphics/mapper/4.0/vts/OWNERS
index 2a56b38..c9f24d0 100644
--- a/graphics/mapper/4.0/vts/OWNERS
+++ b/graphics/mapper/4.0/vts/OWNERS
@@ -1,4 +1,4 @@
 # Graphics team
 chrisforbes@google.com
-stoza@google.com
-vhau@google.com
+jreck@google.com
+lpy@google.com
diff --git a/graphics/mapper/4.0/vts/functional/Android.bp b/graphics/mapper/4.0/vts/functional/Android.bp
index 8bda425..2d39daa 100644
--- a/graphics/mapper/4.0/vts/functional/Android.bp
+++ b/graphics/mapper/4.0/vts/functional/Android.bp
@@ -19,7 +19,7 @@
     defaults: ["VtsHalTargetTestDefaults"],
     srcs: ["VtsHalGraphicsMapperV4_0TargetTest.cpp"],
     static_libs: [
-        "android.hardware.graphics.common-unstable-ndk_platform",
+        "android.hardware.graphics.common-V2-ndk_platform",
         "android.hardware.graphics.mapper@4.0-vts",
         "libgralloctypes",
         "libsync",
diff --git a/health/storage/aidl/default/Android.bp b/health/storage/aidl/default/Android.bp
index 68a8ee2..b53bc35 100644
--- a/health/storage/aidl/default/Android.bp
+++ b/health/storage/aidl/default/Android.bp
@@ -20,7 +20,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.health.storage-unstable-ndk_platform",
+        "android.hardware.health.storage-V1-ndk_platform",
     ],
     static_libs: [
         "libfstab",
diff --git a/health/storage/aidl/vts/functional/Android.bp b/health/storage/aidl/vts/functional/Android.bp
index 86b72a7..0e7671d 100644
--- a/health/storage/aidl/vts/functional/Android.bp
+++ b/health/storage/aidl/vts/functional/Android.bp
@@ -25,7 +25,7 @@
         "libbinder_ndk",
     ],
     static_libs: [
-        "android.hardware.health.storage-ndk_platform",
+        "android.hardware.health.storage-V1-ndk_platform",
     ],
     header_libs: [
         "libhealth_storage_test_common_headers",
diff --git a/health/storage/impl_common/impl_common.cpp b/health/storage/impl_common/impl_common.cpp
index 6e753d4..1a7a7f1 100644
--- a/health/storage/impl_common/impl_common.cpp
+++ b/health/storage/impl_common/impl_common.cpp
@@ -45,32 +45,59 @@
     return "";
 }
 
-Result GarbageCollect(uint64_t timeout_seconds) {
-    std::string path = GetGarbageCollectPath();
+static std::string GetWriteBoosterPath() {
+    Fstab fstab;
+    ReadDefaultFstab(&fstab);
 
-    if (path.empty()) {
+    for (const auto& entry : fstab) {
+        if (!entry.sysfs_path.empty()) {
+            return entry.sysfs_path + "/attributes/wb_avail_buf";
+        }
+    }
+
+    return "";
+}
+
+Result GarbageCollect(uint64_t timeout_seconds) {
+    std::string gc_path = GetGarbageCollectPath();
+
+    if (gc_path.empty()) {
         LOG(WARNING) << "Cannot find Dev GC path";
         return Result::UNKNOWN_ERROR;
     }
 
     Result result = Result::SUCCESS;
     Timer timer;
-    LOG(INFO) << "Start Dev GC on " << path;
+    LOG(INFO) << "Start Dev GC on " << gc_path;
     while (1) {
-        std::string require;
-        if (!ReadFileToString(path, &require)) {
-            PLOG(WARNING) << "Reading manual_gc failed in " << path;
+        std::string require_gc;
+        if (!ReadFileToString(gc_path, &require_gc)) {
+            PLOG(WARNING) << "Reading manual_gc failed in " << gc_path;
             result = Result::IO_ERROR;
             break;
         }
-        require = Trim(require);
-        if (require == "" || require == "off" || require == "disabled") {
+        require_gc = Trim(require_gc);
+
+        std::string wb_path = GetWriteBoosterPath();
+        // Let's flush WB till 100% available
+        std::string wb_avail = "0x0000000A";
+        if (!wb_path.empty() && !ReadFileToString(wb_path, &wb_avail)) {
+            PLOG(WARNING) << "Reading wb_avail_buf failed in " << wb_path;
+        }
+        wb_avail = Trim(wb_avail);
+
+        if (require_gc == "disabled") {
+            LOG(DEBUG) << "Disabled Dev GC";
+            break;
+        }
+        if ((require_gc == "" || require_gc == "off") && wb_avail == "0x0000000A") {
             LOG(DEBUG) << "No more to do Dev GC";
             break;
         }
-        LOG(DEBUG) << "Trigger Dev GC on " << path;
-        if (!WriteStringToFile("1", path)) {
-            PLOG(WARNING) << "Start Dev GC failed on " << path;
+        LOG(DEBUG) << "Trigger Dev GC on " << gc_path << " having " << require_gc << ", WB on "
+                   << wb_path << " having " << wb_avail;
+        if (!WriteStringToFile("1", gc_path)) {
+            PLOG(WARNING) << "Start Dev GC failed on " << gc_path;
             result = Result::IO_ERROR;
             break;
         }
@@ -81,9 +108,9 @@
         }
         sleep(2);
     }
-    LOG(INFO) << "Stop Dev GC on " << path;
-    if (!WriteStringToFile("0", path)) {
-        PLOG(WARNING) << "Stop Dev GC failed on " << path;
+    LOG(INFO) << "Stop Dev GC on " << gc_path;
+    if (!WriteStringToFile("0", gc_path)) {
+        PLOG(WARNING) << "Stop Dev GC failed on " << gc_path;
         result = Result::IO_ERROR;
     }
 
@@ -97,17 +124,26 @@
     if (path.empty()) {
         output << "Cannot find Dev GC path";
     } else {
-        std::string require;
+        std::string require_gc;
 
-        if (ReadFileToString(path, &require)) {
-            output << path << ":" << require << std::endl;
+        if (ReadFileToString(path, &require_gc)) {
+            output << path << ":" << require_gc << std::endl;
         }
 
         if (WriteStringToFile("0", path)) {
             output << "stop success" << std::endl;
         }
     }
+    std::string wb_path = GetWriteBoosterPath();
+    if (wb_path.empty()) {
+        output << "Cannot find Dev WriteBooster path";
+    } else {
+        std::string wb_available;
 
+        if (ReadFileToString(wb_path, &wb_available)) {
+            output << wb_path << ":" << wb_available << std::endl;
+        }
+    }
     if (!WriteStringToFd(output.str(), fd)) {
         PLOG(WARNING) << "debug: cannot write to fd";
     }
diff --git a/identity/aidl/default/Android.bp b/identity/aidl/default/Android.bp
index 8744648..9659f57 100644
--- a/identity/aidl/default/Android.bp
+++ b/identity/aidl/default/Android.bp
@@ -29,8 +29,8 @@
         "libsoft_attestation_cert",
         "libpuresoftkeymasterdevice",
         "android.hardware.identity-support-lib",
-        "android.hardware.identity-unstable-ndk_platform",
-        "android.hardware.keymaster-unstable-ndk_platform",
+        "android.hardware.identity-V3-ndk_platform",
+        "android.hardware.keymaster-V3-ndk_platform",
     ],
 }
 
@@ -89,8 +89,8 @@
         "libsoft_attestation_cert",
         "libpuresoftkeymasterdevice",
         "android.hardware.identity-support-lib",
-        "android.hardware.identity-unstable-ndk_platform",
-        "android.hardware.keymaster-unstable-ndk_platform",
+        "android.hardware.identity-V3-ndk_platform",
+        "android.hardware.keymaster-V3-ndk_platform",
         "android.hardware.identity-libeic-hal-common",
         "android.hardware.identity-libeic-library",
     ],
diff --git a/identity/aidl/vts/Android.bp b/identity/aidl/vts/Android.bp
index f1b1bcf..f487a64 100644
--- a/identity/aidl/vts/Android.bp
+++ b/identity/aidl/vts/Android.bp
@@ -30,9 +30,9 @@
         "libpuresoftkeymasterdevice",
         "android.hardware.keymaster@4.0",
         "android.hardware.identity-support-lib",
-        "android.hardware.identity-unstable-cpp",
-        "android.hardware.keymaster-unstable-cpp",
-        "android.hardware.keymaster-unstable-ndk_platform",
+        "android.hardware.identity-V3-cpp",
+        "android.hardware.keymaster-V3-cpp",
+        "android.hardware.keymaster-V3-ndk_platform",
         "libkeymaster4support",
         "libkeymaster4_1support",
     ],
diff --git a/light/aidl/default/Android.bp b/light/aidl/default/Android.bp
index ae3f463..4e43ba9 100644
--- a/light/aidl/default/Android.bp
+++ b/light/aidl/default/Android.bp
@@ -7,7 +7,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.light-ndk_platform",
+        "android.hardware.light-V1-ndk_platform",
     ],
     srcs: [
         "Lights.cpp",
diff --git a/light/aidl/vts/functional/Android.bp b/light/aidl/vts/functional/Android.bp
index aa4719b..4c9356c 100644
--- a/light/aidl/vts/functional/Android.bp
+++ b/light/aidl/vts/functional/Android.bp
@@ -27,7 +27,7 @@
         "libbinder",
     ],
     static_libs: [
-        "android.hardware.light-cpp",
+        "android.hardware.light-V1-cpp",
     ],
     test_suites: [
         "vts",
diff --git a/light/utils/Android.bp b/light/utils/Android.bp
index e901129..871f983 100644
--- a/light/utils/Android.bp
+++ b/light/utils/Android.bp
@@ -28,6 +28,6 @@
         "libutils",
     ],
     static_libs: [
-        "android.hardware.light-cpp",
+        "android.hardware.light-V1-cpp",
     ],
 }
diff --git a/memtrack/aidl/default/Android.bp b/memtrack/aidl/default/Android.bp
index 52f88c8..8d97bfc 100644
--- a/memtrack/aidl/default/Android.bp
+++ b/memtrack/aidl/default/Android.bp
@@ -21,7 +21,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.memtrack-ndk_platform",
+        "android.hardware.memtrack-V1-ndk_platform",
     ],
     srcs: [
         "main.cpp",
diff --git a/memtrack/aidl/vts/Android.bp b/memtrack/aidl/vts/Android.bp
index c9743f4..df87db8 100644
--- a/memtrack/aidl/vts/Android.bp
+++ b/memtrack/aidl/vts/Android.bp
@@ -10,7 +10,7 @@
         "libvintf",
     ],
     static_libs: [
-        "android.hardware.memtrack-unstable-ndk_platform",
+        "android.hardware.memtrack-V1-ndk_platform",
     ],
     test_suites: [
         "vts-core",
diff --git a/memtrack/aidl/vts/VtsHalMemtrackTargetTest.cpp b/memtrack/aidl/vts/VtsHalMemtrackTargetTest.cpp
index 2393c56..d5f4612 100644
--- a/memtrack/aidl/vts/VtsHalMemtrackTargetTest.cpp
+++ b/memtrack/aidl/vts/VtsHalMemtrackTargetTest.cpp
@@ -79,10 +79,10 @@
 
     auto status = memtrack_->getGpuDeviceInfo(&device_info);
 
-    // Devices with < 5.10 kernels aren't required to provide an implementation of
+    // Devices with < 5.4 kernels aren't required to provide an implementation of
     // getGpuDeviceInfo(), and can return EX_UNSUPPORTED_OPERATION
     if (status.getExceptionCode() == EX_UNSUPPORTED_OPERATION) {
-        KernelVersion min_kernel_version = KernelVersion(5, 10, 0);
+        KernelVersion min_kernel_version = KernelVersion(5, 4, 0);
         KernelVersion kernel_version = VintfObject::GetInstance()
                                                ->getRuntimeInfo(RuntimeInfo::FetchFlag::CPU_VERSION)
                                                ->kernelVersion();
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
index 4cec545..b695f48 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
@@ -44,6 +44,12 @@
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_0::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_H
diff --git a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
index 052d88e..09597a3 100644
--- a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
+++ b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
@@ -47,6 +47,12 @@
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_1::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
index c289fc8..3233114 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
@@ -54,6 +54,12 @@
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_H
diff --git a/neuralnetworks/1.2/utils/src/Callbacks.cpp b/neuralnetworks/1.2/utils/src/Callbacks.cpp
index fefa122..9f54bb1 100644
--- a/neuralnetworks/1.2/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.2/utils/src/Callbacks.cpp
@@ -43,6 +43,15 @@
 namespace android::hardware::neuralnetworks::V1_2::utils {
 namespace {
 
+nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
+        V1_0::ErrorStatus status, const sp<V1_0::IPreparedModel>& preparedModel) {
+    if (const auto dynamicPreparedModel =
+                V1_2::IPreparedModel::castFrom(preparedModel).withDefault(nullptr)) {
+        return V1_2::utils::prepareModelCallback(status, dynamicPreparedModel);
+    }
+    return V1_0::utils::prepareModelCallback(status, preparedModel);
+}
+
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionGeneralResultsHelper(const hidl_vec<OutputShape>& outputShapes,
                                      const Timing& timing) {
@@ -72,7 +81,7 @@
 
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
                                            const sp<V1_0::IPreparedModel>& preparedModel) {
-    mData.put(V1_0::utils::prepareModelCallback(status, preparedModel));
+    mData.put(prepareModelCallback(status, preparedModel));
     return Void();
 }
 
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
index 29b0c80..3ce412c 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
@@ -49,6 +49,12 @@
     return result.has_value();
 }
 
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+        -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+    return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_3::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_H
diff --git a/neuralnetworks/1.3/utils/src/Callbacks.cpp b/neuralnetworks/1.3/utils/src/Callbacks.cpp
index af76e6a..8e9fb83 100644
--- a/neuralnetworks/1.3/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.3/utils/src/Callbacks.cpp
@@ -28,6 +28,7 @@
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
+#include <nnapi/hal/1.0/Callbacks.h>
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.0/PreparedModel.h>
 #include <nnapi/hal/1.2/Callbacks.h>
@@ -46,6 +47,20 @@
 namespace android::hardware::neuralnetworks::V1_3::utils {
 namespace {
 
+nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
+        V1_0::ErrorStatus status, const sp<V1_0::IPreparedModel>& preparedModel) {
+    if (const auto dynamicPreparedModel =
+                V1_3::IPreparedModel::castFrom(preparedModel).withDefault(nullptr)) {
+        const auto currentVersionStatus = NN_TRY(convertFromNonCanonical(status));
+        return V1_3::utils::prepareModelCallback(currentVersionStatus, dynamicPreparedModel);
+    }
+    if (const auto dynamicPreparedModel =
+                V1_2::IPreparedModel::castFrom(preparedModel).withDefault(nullptr)) {
+        return V1_2::utils::prepareModelCallback(status, dynamicPreparedModel);
+    }
+    return V1_0::utils::prepareModelCallback(status, preparedModel);
+}
+
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionGeneralResultsHelper(const hidl_vec<V1_2::OutputShape>& outputShapes,
                                      const V1_2::Timing& timing) {
@@ -82,13 +97,13 @@
 
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
                                            const sp<V1_0::IPreparedModel>& preparedModel) {
-    mData.put(V1_0::utils::prepareModelCallback(status, preparedModel));
+    mData.put(prepareModelCallback(status, preparedModel));
     return Void();
 }
 
 Return<void> PreparedModelCallback::notify_1_2(V1_0::ErrorStatus status,
                                                const sp<V1_2::IPreparedModel>& preparedModel) {
-    mData.put(V1_2::utils::prepareModelCallback(status, preparedModel));
+    mData.put(prepareModelCallback(status, preparedModel));
     return Void();
 }
 
diff --git a/neuralnetworks/1.3/vts/functional/Android.bp b/neuralnetworks/1.3/vts/functional/Android.bp
index b17d445..ee753bb 100644
--- a/neuralnetworks/1.3/vts/functional/Android.bp
+++ b/neuralnetworks/1.3/vts/functional/Android.bp
@@ -57,6 +57,7 @@
         "VtsHalNeuralNetworksV1_0_utils",
         "VtsHalNeuralNetworksV1_2_utils",
         "VtsHalNeuralNetworksV1_3_utils",
+        "android.hardware.neuralnetworks-V1-ndk_platform",
         "android.hardware.neuralnetworks@1.0",
         "android.hardware.neuralnetworks@1.1",
         "android.hardware.neuralnetworks@1.2",
diff --git a/neuralnetworks/aidl/Android.bp b/neuralnetworks/aidl/Android.bp
new file mode 100644
index 0000000..0557e43
--- /dev/null
+++ b/neuralnetworks/aidl/Android.bp
@@ -0,0 +1,27 @@
+aidl_interface {
+    name: "android.hardware.neuralnetworks",
+    vendor_available: true,
+    srcs: [
+        "android/hardware/neuralnetworks/*.aidl",
+    ],
+    stability: "vintf",
+    imports: [
+        "android.hardware.common",
+    ],
+    backend: {
+        java: {
+            enabled: false,
+        },
+        cpp: {
+            enabled: false,
+        },
+        ndk: {
+            apex_available: [
+                "//apex_available:platform",
+                "com.android.neuralnetworks",
+                "test_com.android.neuralnetworks",
+            ],
+            min_sdk_version: "30",
+        },
+    },
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferDesc.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferDesc.aidl
new file mode 100644
index 0000000..2074a2a
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferDesc.aidl
@@ -0,0 +1,22 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable BufferDesc {
+  int[] dimensions;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
new file mode 100644
index 0000000..97f748b
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable BufferRole {
+  int modelIndex;
+  int ioIndex;
+  float frequency;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Capabilities.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Capabilities.aidl
new file mode 100644
index 0000000..31afafc
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Capabilities.aidl
@@ -0,0 +1,26 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Capabilities {
+  android.hardware.neuralnetworks.PerformanceInfo relaxedFloat32toFloat16PerformanceScalar;
+  android.hardware.neuralnetworks.PerformanceInfo relaxedFloat32toFloat16PerformanceTensor;
+  android.hardware.neuralnetworks.OperandPerformance[] operandPerformance;
+  android.hardware.neuralnetworks.PerformanceInfo ifPerformance;
+  android.hardware.neuralnetworks.PerformanceInfo whilePerformance;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DataLocation.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DataLocation.aidl
new file mode 100644
index 0000000..5b03ba0
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DataLocation.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable DataLocation {
+  int poolIndex;
+  long offset;
+  long length;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceBuffer.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceBuffer.aidl
new file mode 100644
index 0000000..9cff6db
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceBuffer.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable DeviceBuffer {
+  android.hardware.neuralnetworks.IBuffer buffer;
+  int token;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceType.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceType.aidl
new file mode 100644
index 0000000..dd4dae7
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceType.aidl
@@ -0,0 +1,25 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum DeviceType {
+  OTHER = 1,
+  CPU = 2,
+  GPU = 3,
+  ACCELERATOR = 4,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ErrorStatus.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ErrorStatus.aidl
new file mode 100644
index 0000000..ba18c38
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ErrorStatus.aidl
@@ -0,0 +1,30 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum ErrorStatus {
+  NONE = 0,
+  DEVICE_UNAVAILABLE = 1,
+  GENERAL_FAILURE = 2,
+  OUTPUT_INSUFFICIENT_SIZE = 3,
+  INVALID_ARGUMENT = 4,
+  MISSED_DEADLINE_TRANSIENT = 5,
+  MISSED_DEADLINE_PERSISTENT = 6,
+  RESOURCE_EXHAUSTED_TRANSIENT = 7,
+  RESOURCE_EXHAUSTED_PERSISTENT = 8,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionPreference.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionPreference.aidl
new file mode 100644
index 0000000..cccae54
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionPreference.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum ExecutionPreference {
+  LOW_POWER = 0,
+  FAST_SINGLE_ANSWER = 1,
+  SUSTAINED_SPEED = 2,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionResult.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionResult.aidl
new file mode 100644
index 0000000..c17ddb9
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionResult.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable ExecutionResult {
+  boolean outputSufficientSize;
+  android.hardware.neuralnetworks.OutputShape[] outputShapes;
+  android.hardware.neuralnetworks.Timing timing;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Extension.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Extension.aidl
new file mode 100644
index 0000000..9eb8896
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Extension.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Extension {
+  String name;
+  android.hardware.neuralnetworks.ExtensionOperandTypeInformation[] operandTypes;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionNameAndPrefix.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionNameAndPrefix.aidl
new file mode 100644
index 0000000..a271a63
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionNameAndPrefix.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable ExtensionNameAndPrefix {
+  String name;
+  char prefix;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.aidl
new file mode 100644
index 0000000..d1c3f09
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable ExtensionOperandTypeInformation {
+  char type;
+  boolean isTensor;
+  int byteSize;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/FusedActivationFunc.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/FusedActivationFunc.aidl
new file mode 100644
index 0000000..ddd3c2a
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/FusedActivationFunc.aidl
@@ -0,0 +1,25 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum FusedActivationFunc {
+  NONE = 0,
+  RELU = 1,
+  RELU1 = 2,
+  RELU6 = 3,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IBuffer.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IBuffer.aidl
new file mode 100644
index 0000000..a297a6b
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IBuffer.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+interface IBuffer {
+  void copyFrom(in android.hardware.neuralnetworks.Memory src, in int[] dimensions);
+  void copyTo(in android.hardware.neuralnetworks.Memory dst);
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IDevice.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IDevice.aidl
new file mode 100644
index 0000000..38fda16
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IDevice.aidl
@@ -0,0 +1,36 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+interface IDevice {
+  android.hardware.neuralnetworks.DeviceBuffer allocate(in android.hardware.neuralnetworks.BufferDesc desc, in android.hardware.neuralnetworks.IPreparedModelParcel[] preparedModels, in android.hardware.neuralnetworks.BufferRole[] inputRoles, in android.hardware.neuralnetworks.BufferRole[] outputRoles);
+  android.hardware.neuralnetworks.Capabilities getCapabilities();
+  android.hardware.neuralnetworks.NumberOfCacheFiles getNumberOfCacheFilesNeeded();
+  android.hardware.neuralnetworks.Extension[] getSupportedExtensions();
+  boolean[] getSupportedOperations(in android.hardware.neuralnetworks.Model model);
+  android.hardware.neuralnetworks.DeviceType getType();
+  String getVersionString();
+  void prepareModel(in android.hardware.neuralnetworks.Model model, in android.hardware.neuralnetworks.ExecutionPreference preference, in android.hardware.neuralnetworks.Priority priority, in long deadline, in ParcelFileDescriptor[] modelCache, in ParcelFileDescriptor[] dataCache, in byte[] token, in android.hardware.neuralnetworks.IPreparedModelCallback callback);
+  void prepareModelFromCache(in long deadline, in ParcelFileDescriptor[] modelCache, in ParcelFileDescriptor[] dataCache, in byte[] token, in android.hardware.neuralnetworks.IPreparedModelCallback callback);
+  const int BYTE_SIZE_OF_CACHE_TOKEN = 32;
+  const int MAX_NUMBER_OF_CACHE_FILES = 32;
+  const int EXTENSION_TYPE_HIGH_BITS_PREFIX = 15;
+  const int EXTENSION_TYPE_LOW_BITS_TYPE = 16;
+  const int OPERAND_TYPE_BASE_MAX = 65535;
+  const int OPERATION_TYPE_BASE_MAX = 65535;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IFencedExecutionCallback.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IFencedExecutionCallback.aidl
new file mode 100644
index 0000000..a7cf906
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IFencedExecutionCallback.aidl
@@ -0,0 +1,22 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+interface IFencedExecutionCallback {
+  android.hardware.neuralnetworks.ErrorStatus getExecutionInfo(out android.hardware.neuralnetworks.Timing timingLaunched, out android.hardware.neuralnetworks.Timing timingFenced);
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl
new file mode 100644
index 0000000..8767712
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl
@@ -0,0 +1,25 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+interface IPreparedModel {
+  android.hardware.neuralnetworks.ExecutionResult executeSynchronously(in android.hardware.neuralnetworks.Request request, in boolean measureTiming, in long deadline, in long loopTimeoutDuration);
+  android.hardware.neuralnetworks.IFencedExecutionCallback executeFenced(in android.hardware.neuralnetworks.Request request, in ParcelFileDescriptor[] waitFor, in boolean measureTiming, in long deadline, in long loopTimeoutDuration, in long duration, out @nullable ParcelFileDescriptor syncFence);
+  const long DEFAULT_LOOP_TIMEOUT_DURATION_NS = 2000000000;
+  const long MAXIMUM_LOOP_TIMEOUT_DURATION_NS = 15000000000;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelCallback.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelCallback.aidl
new file mode 100644
index 0000000..d1ae2eb
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelCallback.aidl
@@ -0,0 +1,22 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+interface IPreparedModelCallback {
+  void notify(in android.hardware.neuralnetworks.ErrorStatus status, in android.hardware.neuralnetworks.IPreparedModel preparedModel);
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelParcel.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelParcel.aidl
new file mode 100644
index 0000000..048251a
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelParcel.aidl
@@ -0,0 +1,22 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable IPreparedModelParcel {
+  android.hardware.neuralnetworks.IPreparedModel preparedModel;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Memory.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Memory.aidl
new file mode 100644
index 0000000..aa735c0
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Memory.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Memory {
+  android.hardware.common.NativeHandle handle;
+  long size;
+  String name;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Model.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Model.aidl
new file mode 100644
index 0000000..944bd7f
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Model.aidl
@@ -0,0 +1,27 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Model {
+  android.hardware.neuralnetworks.Subgraph main;
+  android.hardware.neuralnetworks.Subgraph[] referenced;
+  byte[] operandValues;
+  android.hardware.neuralnetworks.Memory[] pools;
+  boolean relaxComputationFloat32toFloat16;
+  android.hardware.neuralnetworks.ExtensionNameAndPrefix[] extensionNameToPrefix;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/NumberOfCacheFiles.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/NumberOfCacheFiles.aidl
new file mode 100644
index 0000000..ca5f917
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/NumberOfCacheFiles.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable NumberOfCacheFiles {
+  int numModelCache;
+  int numDataCache;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operand.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operand.aidl
new file mode 100644
index 0000000..6615b9b
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operand.aidl
@@ -0,0 +1,28 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Operand {
+  android.hardware.neuralnetworks.OperandType type;
+  int[] dimensions;
+  float scale;
+  int zeroPoint;
+  android.hardware.neuralnetworks.OperandLifeTime lifetime;
+  android.hardware.neuralnetworks.DataLocation location;
+  @nullable android.hardware.neuralnetworks.OperandExtraParams extraParams;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandExtraParams.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandExtraParams.aidl
new file mode 100644
index 0000000..20317c7
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandExtraParams.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+union OperandExtraParams {
+  android.hardware.neuralnetworks.SymmPerChannelQuantParams channelQuant;
+  byte[] extension;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandLifeTime.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandLifeTime.aidl
new file mode 100644
index 0000000..1082f9e
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandLifeTime.aidl
@@ -0,0 +1,28 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum OperandLifeTime {
+  TEMPORARY_VARIABLE = 0,
+  SUBGRAPH_INPUT = 1,
+  SUBGRAPH_OUTPUT = 2,
+  CONSTANT_COPY = 3,
+  CONSTANT_POOL = 4,
+  NO_VALUE = 5,
+  SUBGRAPH = 6,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandPerformance.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandPerformance.aidl
new file mode 100644
index 0000000..9232b4c
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandPerformance.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable OperandPerformance {
+  android.hardware.neuralnetworks.OperandType type;
+  android.hardware.neuralnetworks.PerformanceInfo info;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandType.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandType.aidl
new file mode 100644
index 0000000..bd95fab
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandType.aidl
@@ -0,0 +1,37 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum OperandType {
+  FLOAT32 = 0,
+  INT32 = 1,
+  UINT32 = 2,
+  TENSOR_FLOAT32 = 3,
+  TENSOR_INT32 = 4,
+  TENSOR_QUANT8_ASYMM = 5,
+  BOOL = 6,
+  TENSOR_QUANT16_SYMM = 7,
+  TENSOR_FLOAT16 = 8,
+  TENSOR_BOOL8 = 9,
+  FLOAT16 = 10,
+  TENSOR_QUANT8_SYMM_PER_CHANNEL = 11,
+  TENSOR_QUANT16_ASYMM = 12,
+  TENSOR_QUANT8_SYMM = 13,
+  TENSOR_QUANT8_ASYMM_SIGNED = 14,
+  SUBGRAPH = 15,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operation.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operation.aidl
new file mode 100644
index 0000000..383eba4
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operation.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Operation {
+  android.hardware.neuralnetworks.OperationType type;
+  int[] inputs;
+  int[] outputs;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl
new file mode 100644
index 0000000..f786829
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperationType.aidl
@@ -0,0 +1,123 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum OperationType {
+  ADD = 0,
+  AVERAGE_POOL_2D = 1,
+  CONCATENATION = 2,
+  CONV_2D = 3,
+  DEPTHWISE_CONV_2D = 4,
+  DEPTH_TO_SPACE = 5,
+  DEQUANTIZE = 6,
+  EMBEDDING_LOOKUP = 7,
+  FLOOR = 8,
+  FULLY_CONNECTED = 9,
+  HASHTABLE_LOOKUP = 10,
+  L2_NORMALIZATION = 11,
+  L2_POOL_2D = 12,
+  LOCAL_RESPONSE_NORMALIZATION = 13,
+  LOGISTIC = 14,
+  LSH_PROJECTION = 15,
+  LSTM = 16,
+  MAX_POOL_2D = 17,
+  MUL = 18,
+  RELU = 19,
+  RELU1 = 20,
+  RELU6 = 21,
+  RESHAPE = 22,
+  RESIZE_BILINEAR = 23,
+  RNN = 24,
+  SOFTMAX = 25,
+  SPACE_TO_DEPTH = 26,
+  SVDF = 27,
+  TANH = 28,
+  BATCH_TO_SPACE_ND = 29,
+  DIV = 30,
+  MEAN = 31,
+  PAD = 32,
+  SPACE_TO_BATCH_ND = 33,
+  SQUEEZE = 34,
+  STRIDED_SLICE = 35,
+  SUB = 36,
+  TRANSPOSE = 37,
+  ABS = 38,
+  ARGMAX = 39,
+  ARGMIN = 40,
+  AXIS_ALIGNED_BBOX_TRANSFORM = 41,
+  BIDIRECTIONAL_SEQUENCE_LSTM = 42,
+  BIDIRECTIONAL_SEQUENCE_RNN = 43,
+  BOX_WITH_NMS_LIMIT = 44,
+  CAST = 45,
+  CHANNEL_SHUFFLE = 46,
+  DETECTION_POSTPROCESSING = 47,
+  EQUAL = 48,
+  EXP = 49,
+  EXPAND_DIMS = 50,
+  GATHER = 51,
+  GENERATE_PROPOSALS = 52,
+  GREATER = 53,
+  GREATER_EQUAL = 54,
+  GROUPED_CONV_2D = 55,
+  HEATMAP_MAX_KEYPOINT = 56,
+  INSTANCE_NORMALIZATION = 57,
+  LESS = 58,
+  LESS_EQUAL = 59,
+  LOG = 60,
+  LOGICAL_AND = 61,
+  LOGICAL_NOT = 62,
+  LOGICAL_OR = 63,
+  LOG_SOFTMAX = 64,
+  MAXIMUM = 65,
+  MINIMUM = 66,
+  NEG = 67,
+  NOT_EQUAL = 68,
+  PAD_V2 = 69,
+  POW = 70,
+  PRELU = 71,
+  QUANTIZE = 72,
+  QUANTIZED_16BIT_LSTM = 73,
+  RANDOM_MULTINOMIAL = 74,
+  REDUCE_ALL = 75,
+  REDUCE_ANY = 76,
+  REDUCE_MAX = 77,
+  REDUCE_MIN = 78,
+  REDUCE_PROD = 79,
+  REDUCE_SUM = 80,
+  ROI_ALIGN = 81,
+  ROI_POOLING = 82,
+  RSQRT = 83,
+  SELECT = 84,
+  SIN = 85,
+  SLICE = 86,
+  SPLIT = 87,
+  SQRT = 88,
+  TILE = 89,
+  TOPK_V2 = 90,
+  TRANSPOSE_CONV_2D = 91,
+  UNIDIRECTIONAL_SEQUENCE_LSTM = 92,
+  UNIDIRECTIONAL_SEQUENCE_RNN = 93,
+  RESIZE_NEAREST_NEIGHBOR = 94,
+  QUANTIZED_LSTM = 95,
+  IF = 96,
+  WHILE = 97,
+  ELU = 98,
+  HARD_SWISH = 99,
+  FILL = 100,
+  RANK = 101,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OutputShape.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OutputShape.aidl
new file mode 100644
index 0000000..1300c49
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OutputShape.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable OutputShape {
+  int[] dimensions;
+  boolean isSufficient;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/PerformanceInfo.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/PerformanceInfo.aidl
new file mode 100644
index 0000000..b5dc179
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/PerformanceInfo.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable PerformanceInfo {
+  float execTime;
+  float powerUsage;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Priority.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Priority.aidl
new file mode 100644
index 0000000..980bee3
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Priority.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@Backing(type="int") @VintfStability
+enum Priority {
+  LOW = 0,
+  MEDIUM = 1,
+  HIGH = 2,
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Request.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Request.aidl
new file mode 100644
index 0000000..6f77066
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Request.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Request {
+  android.hardware.neuralnetworks.RequestArgument[] inputs;
+  android.hardware.neuralnetworks.RequestArgument[] outputs;
+  android.hardware.neuralnetworks.RequestMemoryPool[] pools;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestArgument.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestArgument.aidl
new file mode 100644
index 0000000..c9560ef
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestArgument.aidl
@@ -0,0 +1,24 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable RequestArgument {
+  boolean hasNoValue;
+  android.hardware.neuralnetworks.DataLocation location;
+  int[] dimensions;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestMemoryPool.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestMemoryPool.aidl
new file mode 100644
index 0000000..123e4b0
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestMemoryPool.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+union RequestMemoryPool {
+  android.hardware.neuralnetworks.Memory pool;
+  int token;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Subgraph.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Subgraph.aidl
new file mode 100644
index 0000000..771d15a
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Subgraph.aidl
@@ -0,0 +1,25 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Subgraph {
+  android.hardware.neuralnetworks.Operand[] operands;
+  android.hardware.neuralnetworks.Operation[] operations;
+  int[] inputIndexes;
+  int[] outputIndexes;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/SymmPerChannelQuantParams.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/SymmPerChannelQuantParams.aidl
new file mode 100644
index 0000000..2282feb
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/SymmPerChannelQuantParams.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable SymmPerChannelQuantParams {
+  float[] scales;
+  int channelDim;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Timing.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Timing.aidl
new file mode 100644
index 0000000..b08d34a
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Timing.aidl
@@ -0,0 +1,23 @@
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
+// edit this file. It looks like you are doing that because you have modified
+// an AIDL interface in a backward-incompatible way, e.g., deleting a function
+// from an interface or a field from a parcelable and it broke the build. That
+// breakage is intended.
+//
+// You must not make a backward incompatible changes to the AIDL files built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable Timing {
+  long timeOnDevice;
+  long timeInDriver;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferDesc.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferDesc.aidl
new file mode 100644
index 0000000..1b92ebc
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferDesc.aidl
@@ -0,0 +1,31 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * A buffer descriptor. Describes the properties of a buffer.
+ */
+@VintfStability
+parcelable BufferDesc {
+    /**
+     * Dimensions of the buffer. May have unknown dimensions or rank. A buffer with some number of
+     * unspecified dimensions is represented by setting each unspecified dimension to 0. A buffer
+     * with unspecified rank is represented by providing an empty dimensions vector.
+     */
+    int[] dimensions;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
new file mode 100644
index 0000000..7877bc0
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
@@ -0,0 +1,40 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Describes a role of an input or output to a prepared model.
+ */
+@VintfStability
+parcelable BufferRole {
+    /**
+     * The index of the IPreparedModel within the "preparedModel" argument passed in
+     * IDevice::allocate.
+     */
+    int modelIndex;
+    /**
+     * The index of the input or output operand.
+     */
+    int ioIndex;
+    /**
+     * A floating-point value within the range (0.0, 1.0]. Describes how likely the buffer is to be
+     * used in the specified role. This is provided as a hint to optimize the case when multiple
+     * roles prefer different buffer locations or data layouts.
+     */
+    float frequency;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Capabilities.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Capabilities.aidl
new file mode 100644
index 0000000..5ce78ee
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Capabilities.aidl
@@ -0,0 +1,63 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.OperandPerformance;
+import android.hardware.neuralnetworks.PerformanceInfo;
+
+/**
+ * The capabilities of a driver.
+ *
+ * This represents performance of non-extension operations.
+ *
+ * Performance of an operation other than {@link OperationType::IF} and {@link OperationType::WHILE}
+ * comes from the type of its first operand.
+ */
+@VintfStability
+parcelable Capabilities {
+    /**
+     * Driver performance when operating on float32 data but performing calculations with range
+     * and/or precision as low as that of the IEEE 754 16-bit floating-point format.
+     */
+    PerformanceInfo relaxedFloat32toFloat16PerformanceScalar;
+    PerformanceInfo relaxedFloat32toFloat16PerformanceTensor;
+    /**
+     * Performance by operand type. Must be sorted by OperandType.
+     *
+     * If a particular {@link OperandType} is not present in operandPerformance, its performance is
+     * treated as { .execTime = FLT_MAX, .powerUsage = FLT_MAX }.
+     *
+     * Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver must not report
+     * operand performance for {@link OperandType::SUBGRAPH}.
+     */
+    OperandPerformance[] operandPerformance;
+    /**
+     * Performance of an {@link OperationType::IF} operation is the sum of
+     * {@link Capabilities::ifPerformance} and the mean of performance for the two branch subgraphs,
+     * where performance for a subgraph is the sum of the performance of all operations within the
+     * subgraph.
+     */
+    PerformanceInfo ifPerformance;
+    /**
+     * Performance of a {@link OperationType::WHILE} operation is the sum of
+     * {@link Capabilities::whilePerformance}, performance for the condition subgraph and
+     * performance for the body subgraph, where performance for a subgraph is the sum of the
+     * performance of all operations within the subgraph.
+     */
+    PerformanceInfo whilePerformance;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/DataLocation.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/DataLocation.aidl
new file mode 100644
index 0000000..57e3f4a
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/DataLocation.aidl
@@ -0,0 +1,37 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Describes the location of a data object.
+ */
+@VintfStability
+parcelable DataLocation {
+    /**
+     * The index of the memory pool where this location is found.
+     */
+    int poolIndex;
+    /**
+     * Offset in bytes from the start of the pool.
+     */
+    long offset;
+    /**
+     * The length of the data in bytes.
+     */
+    long length;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/DeviceBuffer.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/DeviceBuffer.aidl
new file mode 100644
index 0000000..d51e1b2
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/DeviceBuffer.aidl
@@ -0,0 +1,36 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+ package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.IBuffer;
+
+/**
+ * A type that is used to represent a driver allocated buffer and token that corresponds to it.
+ */
+ @VintfStability
+ parcelable DeviceBuffer {
+    /**
+     * An IBuffer object used to interact with the device allocated buffer.
+     */
+    IBuffer buffer;
+    /**
+     * A positive token identifying the allocated buffer. The token is provided when referencing the
+     * buffer as one of the memory pools in the request of an execution. The token must not collide
+     * with the tokens of other IBuffer objects that are currently alive in the same driver service.
+     */
+    int token;
+ }
\ No newline at end of file
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/DeviceType.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/DeviceType.aidl
new file mode 100644
index 0000000..8399d50
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/DeviceType.aidl
@@ -0,0 +1,45 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Device types.
+ *
+ * The type of NNAPI device.
+ */
+@VintfStability
+@Backing(type="int")
+enum DeviceType {
+    /**
+     * The device does not fall into any category below.
+     */
+    OTHER = 1,
+    /**
+     * The device runs NNAPI models on single or multi-core CPU.
+     */
+    CPU = 2,
+    /**
+     * The device can run NNAPI models and also accelerate graphics APIs such as OpenGL ES and
+     * Vulkan.
+     */
+    GPU = 3,
+    /**
+     * Dedicated accelerator for Machine Learning workloads.
+     */
+    ACCELERATOR = 4,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/ErrorStatus.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/ErrorStatus.aidl
new file mode 100644
index 0000000..860f86a
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/ErrorStatus.aidl
@@ -0,0 +1,52 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Calls to neural networks AIDL interfaces may return a ServiceSpecificException with the following
+ * error codes.
+ */
+@VintfStability
+@Backing(type="int")
+enum ErrorStatus {
+    NONE,
+    DEVICE_UNAVAILABLE,
+    GENERAL_FAILURE,
+    OUTPUT_INSUFFICIENT_SIZE,
+    INVALID_ARGUMENT,
+    /**
+     * Failure because a deadline could not be met for a task, but future deadlines may still be met
+     * for the same task after a short delay.
+     */
+    MISSED_DEADLINE_TRANSIENT,
+    /**
+     * Failure because a deadline could not be met for a task, and future deadlines will likely also
+     * not be met for the same task even after a short delay.
+     */
+    MISSED_DEADLINE_PERSISTENT,
+    /**
+     * Failure because of a resource limitation within the driver, but future calls for the same
+     * task may still succeed after a short delay.
+     */
+    RESOURCE_EXHAUSTED_TRANSIENT,
+    /**
+     * Failure because of a resource limitation within the driver, and future calls for the same
+     * task will likely also fail even after a short delay.
+     */
+    RESOURCE_EXHAUSTED_PERSISTENT,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/ExecutionPreference.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExecutionPreference.aidl
new file mode 100644
index 0000000..901cb38
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExecutionPreference.aidl
@@ -0,0 +1,41 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Execution preferences.
+ */
+@VintfStability
+@Backing(type="int")
+enum ExecutionPreference {
+    /**
+     * Prefer executing in a way that minimizes battery drain. This is desirable for compilations
+     * that will be executed often.
+     */
+    LOW_POWER,
+    /**
+     * Prefer returning a single answer as fast as possible, even if this causes more power
+     * consumption.
+     */
+    FAST_SINGLE_ANSWER,
+    /**
+     * Prefer maximizing the throughput of successive frames, for example when processing successive
+     * frames coming from the camera.
+     */
+    SUSTAINED_SPEED,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/ExecutionResult.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExecutionResult.aidl
new file mode 100644
index 0000000..403fe09
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExecutionResult.aidl
@@ -0,0 +1,47 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.ErrorStatus;
+import android.hardware.neuralnetworks.OutputShape;
+import android.hardware.neuralnetworks.Timing;
+
+/**
+ * A result from running a synchronous execution of a prepared model.
+ */
+@VintfStability
+parcelable ExecutionResult {
+    /**
+     * A value of "true" indicates that the execution was successful. A value of "false" indicates
+     * the execution failed because at least one output operand buffer was not large enough to store
+     * the corresponding output.
+     */
+    boolean outputSufficientSize;
+    /**
+     * A list of shape information of model output operands. The index in "outputShapes" corresponds
+     * to the index of the output operand in the Request outputs vector.
+     */
+    OutputShape[] outputShapes;
+    /**
+     * Duration of execution. Unless measure is true and the execution is successful, all times must
+     * be reported as -1. A driver may choose to report any time as -1, indicating that measurement
+     * is not available.
+     */
+    Timing timing;
+}
+
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Extension.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Extension.aidl
new file mode 100644
index 0000000..159e3c1
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Extension.aidl
@@ -0,0 +1,42 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.ExtensionOperandTypeInformation;
+
+/**
+ * Information about an extension.
+ */
+@VintfStability
+parcelable Extension {
+    /**
+     * The extension name.
+     *
+     * The name must consist of lowercase latin letters, numbers, periods, and underscore signs. The
+     * name must contain at least one period.
+     *
+     * The name must start with the reverse domain name of the vendor.
+     *
+     * Example: com.google.test_extension
+     */
+    String name;
+    /**
+     * Information about operand types defined by the extension.
+     */
+    ExtensionOperandTypeInformation[] operandTypes;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/ExtensionNameAndPrefix.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExtensionNameAndPrefix.aidl
new file mode 100644
index 0000000..76074bf
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExtensionNameAndPrefix.aidl
@@ -0,0 +1,49 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * The mapping between extension names and prefixes of operand and operation type values.
+ *
+ * An operand or operation whose numeric type value is above {@link IDevice::OPERAND_TYPE_BASE_MAX}
+ * or {@link IDevice::OPERATION_TYPE_BASE_MAX} respectively should be interpreted as an extension
+ * operand/operation. The low {@link IDevice::EXTENSION_TYPE_LOW_BITS_TYPE} bits of the value
+ * correspond to the type ID within the extension and the high
+ * {@link IDevice::EXTENSION_TYPE_HIGH_BITS_PREFIX} bits encode the "prefix", which maps uniquely to
+ * the extension name. The sign bit is always 0.
+ *
+ * For example, if a model contains an operation whose value is 0x7AAABBBB and extensionNameToPrefix
+ * contains an entry with prefix=0x7AAA and name="vendor.test.test_extension", then the operation
+ * should be interpreted as the operation 0xBBBB of the extension named vendor.test.test_extension.
+ *
+ * This is a one-to-one correspondence. That is, there must be at most one prefix corresponding to
+ * each extension name and at most one extension name corresponding to each prefix.
+ */
+@VintfStability
+parcelable ExtensionNameAndPrefix {
+    /**
+     * The extension name.
+     *
+     * See {@link Extension::name} for the format specification.
+     */
+    String name;
+    /**
+     * The extension prefix. Only the lowest 15 bits are used, so the value must be less than 32768.
+     */
+    char prefix;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.aidl
new file mode 100644
index 0000000..d7f93c1
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.aidl
@@ -0,0 +1,38 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Information about an extension operand type.
+ */
+@VintfStability
+parcelable ExtensionOperandTypeInformation {
+    /**
+     * The extension operand type.
+     */
+    char type;
+    /**
+     * Indicates whether the extension operand type represents a tensor or a scalar.
+     */
+    boolean isTensor;
+    /**
+     * The byte size of the operand (if scalar) or of a single element (if tensor).
+     */
+    int byteSize;
+}
+
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/FusedActivationFunc.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/FusedActivationFunc.aidl
new file mode 100644
index 0000000..40f1053
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/FusedActivationFunc.aidl
@@ -0,0 +1,30 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Fused activation function types.
+ */
+@VintfStability
+@Backing(type="int")
+enum FusedActivationFunc {
+    NONE,
+    RELU,
+    RELU1,
+    RELU6,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IBuffer.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IBuffer.aidl
new file mode 100644
index 0000000..eb3dec6
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IBuffer.aidl
@@ -0,0 +1,58 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.Memory;
+
+/**
+ * This interface represents a device memory buffer.
+ */
+@VintfStability
+interface IBuffer {
+    /**
+     * Sets the content of this buffer from a shared memory region.
+     *
+     * @param src The source shared memory region.
+     * @param dimensions Updated dimensional information. If the dimensions of the IBuffer object
+     *                   are not fully specified, then the dimensions must be fully specified here.
+     *                   If the dimensions of the IBuffer object are fully specified, then the
+     *                   dimensions may be empty here. If dimensions.size() > 0, then all dimensions
+     *                   must be specified here, and any dimension that was specified in the IBuffer
+     *                   object must have the same value here.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if provided memory is invalid, or if the dimensions is invalid
+     */
+    void copyFrom(in Memory src, in int[] dimensions);
+
+    /**
+     * Retrieves the content of this buffer to a shared memory region.
+     *
+     * The IBuffer object must have been initialized before the call to IBuffer::copyTo. For more
+     * information on the state of the IBuffer object, refer to IDevice::allocate.
+     *
+     * @param dst The destination shared memory region.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if the IBuffer object is uninitialized, or there is an unspecified
+     *       error
+     *     - INVALID_ARGUMENT if provided memory is invalid
+     */
+    void copyTo(in Memory dst);
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
new file mode 100644
index 0000000..0c4954c
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
@@ -0,0 +1,431 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.BufferDesc;
+import android.hardware.neuralnetworks.BufferRole;
+import android.hardware.neuralnetworks.Capabilities;
+import android.hardware.neuralnetworks.DeviceBuffer;
+import android.hardware.neuralnetworks.DeviceType;
+import android.hardware.neuralnetworks.ExecutionPreference;
+import android.hardware.neuralnetworks.Extension;
+import android.hardware.neuralnetworks.IPreparedModel;
+import android.hardware.neuralnetworks.IPreparedModelCallback;
+import android.hardware.neuralnetworks.IPreparedModelParcel;
+import android.hardware.neuralnetworks.Model;
+import android.hardware.neuralnetworks.NumberOfCacheFiles;
+import android.hardware.neuralnetworks.Priority;
+
+/**
+ * This interface represents a device driver.
+ */
+@VintfStability
+interface IDevice {
+    /**
+     * The byte size of the cache token.
+     */
+    const int BYTE_SIZE_OF_CACHE_TOKEN = 32;
+    /**
+     * The maximum number of files for each type of cache in compilation caching.
+     */
+    const int MAX_NUMBER_OF_CACHE_FILES = 32;
+
+    /**
+     * Numeric values of extension operand and operation types have the following structure:
+     * - The sign bit is always 0.
+     * - 15 high bits represent the "prefix", which corresponds uniquely to the extension name.
+     * - 16 low bits represent the type ID within the extension.
+     */
+    const int EXTENSION_TYPE_HIGH_BITS_PREFIX = 15;
+    const int EXTENSION_TYPE_LOW_BITS_TYPE = 16;
+    /**
+     * OperandType with any value above {@link IDevice::OPERAND_TYPE_BASE_MAX} must be interpreted
+     * as an extension type according to {@link Model::extensionNameToPrefix}.
+     */
+    const int OPERAND_TYPE_BASE_MAX = 0xFFFF;
+    /**
+     * OperationType with any value above {@link IDevice::OPERATION_TYPE_BASE_MAX} must be
+     * interpreted as an extension type according to {@link Model::extensionNameToPrefix}.
+     */
+    const int OPERATION_TYPE_BASE_MAX = 0xFFFF;
+
+    /**
+     * Allocates a driver-managed buffer with the properties specified by the buffer descriptor as
+     * well as the input and output roles.
+     *
+     * The allocate function must verify its inputs are correct. If there is an error, or if a
+     * certain role or property is not supported by the driver, the allocate function must return a
+     * service specific exception with an appropriate ErrorStatus. If the allocation is successful,
+     * this method must return a DeviceBuffer object with the produced IBuffer and a positive token
+     * identifying the allocated buffer. A successful allocation must accommodate all of the
+     * specified roles and buffer properties.
+     *
+     * The buffer is allocated to an uninitialized state. An uninitialized buffer may only be used
+     * in ways that are specified by outputRoles. A buffer is initialized after it is used as an
+     * output in a successful execution, or after a successful invocation of IBuffer::copyFrom on
+     * the buffer. An initialized buffer may be used according to all roles specified in inputRoles
+     * and outputRoles. A buffer will return to the uninitialized state if it is used as an output
+     * in a failed execution, or after a failed invocation of IBuffer::copyFrom on the buffer.
+     *
+     * The dimensions of the buffer can be deduced from the buffer descriptor as well as the
+     * dimensions of the corresponding model operands of the input and output roles. The dimensions
+     * or rank of the buffer may be unknown at this stage. As such, some driver services may only
+     * create a placeholder and defer the actual allocation until execution time. Note that the same
+     * buffer may be used for different shapes of outputs on different executions. When the buffer
+     * is used as an input, the input shape must be the same as the output shape from the last
+     * execution using this buffer as an output.
+     *
+     * The driver must apply proper validatation upon every usage of the buffer, and must fail the
+     * execution immediately if the usage is illegal.
+     *
+     * @param desc A buffer descriptor specifying the properties of the buffer to allocate.
+     * @param preparedModels A vector of IPreparedModel objects. Must only contain IPreparedModel
+     *                       objects from the same IDevice as this method is being invoked on.
+     * @param inputRoles A vector of roles with each specifying an input to a prepared model.
+     * @param outputRoles A vector of roles with each specifying an output to a prepared model. Each
+     *                    role specified in inputRoles and outputRoles must be unique. The
+     *                    corresponding model operands of the roles must have the same OperandType,
+     *                    scale, zero point, and ExtraParams. The dimensions of the operands and the
+     *                    dimensions specified in the buffer descriptor must be compatible with each
+     *                    other. Two dimensions are incompatible if there is at least one axis that
+     *                    is fully specified in both but has different values.
+     * @return DeviceBuffer object containing the allocated IBuffer object and a positive token that
+     *     can be used to reference the buffer as one of the memory pools.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if a certain buffer property or a certain role is not supported,
+     *       or if there is an unspecified error
+     *     - INVALID_ARGUMENT if one of the input arguments is invalid
+     *     - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
+     */
+    DeviceBuffer allocate(in BufferDesc desc, in IPreparedModelParcel[] preparedModels,
+        in BufferRole[] inputRoles, in BufferRole[] outputRoles);
+
+    /**
+     * Gets the capabilities of a driver.
+     *
+     * @return Capabilities of the driver.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     */
+    Capabilities getCapabilities();
+
+    /**
+     * Gets the caching requirements of the driver implementation.
+     *
+     * There are two types of cache file descriptors provided to the driver: model cache and data
+     * cache.
+     *
+     * The data cache is for caching constant data, possibly including preprocessed and transformed
+     * tensor buffers. Any modification to the data cache should have no worse effect than
+     * generating bad output values at execution time.
+     *
+     * The model cache is for caching security-sensitive data such as compiled executable machine
+     * code in the device's native binary format. A modification to the model cache may affect the
+     * driver's execution behavior, and a malicious client could make use of this to execute beyond
+     * the granted permission. Thus, the driver must always check whether the model cache is
+     * corrupted before preparing the model from cache.
+     *
+     * getNumberOfCacheFilesNeeded returns how many of each type of cache files the driver
+     * implementation needs to cache a single prepared model. Returning 0 for both types indicates
+     * compilation caching is not supported by this driver. The driver may still choose not to cache
+     * certain compiled models even if it reports that caching is supported.
+     *
+     * If the device reports that caching is not supported, the user may avoid calling
+     * IDevice::prepareModelFromCache or providing cache file descriptors to
+     * IDevice::prepareModel.
+     *
+     * @return NumberOfCacheFiles structure indicating how many files for model and data cache the
+     *     driver needs to cache a single prepared model. It must be less than or equal to
+     *     MAX_NUMBER_OF_CACHE_FILES.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     */
+    NumberOfCacheFiles getNumberOfCacheFilesNeeded();
+
+    /**
+     * Gets information about extensions supported by the driver implementation.
+     *
+     * All extension operations and operands must be fully supported for the extension to appear in
+     * the list of supported extensions.
+     *
+     * @return A list of supported extensions.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     */
+    Extension[] getSupportedExtensions();
+
+    /**
+     * Gets the supported operations in a model.
+     *
+     * getSupportedOperations indicates which operations of the top-level subgraph are fully
+     * supported by the vendor driver. If an operation may not be supported for any reason,
+     * getSupportedOperations must return false for that operation.
+     *
+     * The {@link OperationType::IF} and {@link OperationType::WHILE} operations may only be fully
+     * supported if the vendor driver fully supports all operations in the referenced subgraphs.
+     *
+     * @param model A model whose operations -- and their corresponding operands -- are to be
+     *              verified by the driver.
+     * @return A list of supported operations, where true indicates the operation is supported and
+     *     false indicates the operation is not supported. The index of "supported" corresponds with
+     *     the index of the operation it is describing in the main subgraph.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if provided model is invalid
+     */
+    boolean[] getSupportedOperations(in Model model);
+
+    /**
+     * Get the type of a given device.
+     *
+     * The device type can be used to help application developers to distribute Machine Learning
+     * workloads and other workloads such as graphical rendering. E.g., for an app which renders AR
+     * scenes based on real time object detection results, the developer could choose an ACCELERATOR
+     * type device for ML workloads, and reserve GPU for graphical rendering.
+     *
+     * @return The DeviceType of the device. Please note, this is not a bitfield of DeviceTypes.
+     *     Each device must only be of a single DeviceType.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if the query resulted in an unspecified error
+     */
+    DeviceType getType();
+
+    /**
+     * Get the version string of the driver implementation.
+     *
+     * The version string must be a unique token among the set of version strings of drivers of a
+     * specific device. The token identifies the device driver's implementation. The token must not
+     * be confused with the feature level which is solely defined by the interface version. This API
+     * is opaque to the Android framework, but the Android framework may use the information for
+     * debugging or to pass on to NNAPI applications.
+     *
+     * Application developers sometimes have specific requirements to ensure good user experiences,
+     * and they need more information to make intelligent decisions when the Android framework
+     * cannot. For example, combined with the device name and other information, the token can help
+     * NNAPI applications filter devices based on their needs:
+     *     - An application demands a certain level of performance, but a specific version of the
+     *       driver cannot meet that requirement because of a performance regression.
+     *       The application can disallow the driver based on the version provided.
+     *     - An application has a minimum precision requirement, but certain versions of
+     *       the driver cannot meet that requirement because of bugs or certain optimizations.
+     *       The application can filter out versions of these drivers.
+     *
+     * @return The version string of the device implementation. Must have nonzero length.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if the query resulted in an unspecified error
+     */
+    String getVersionString();
+
+    /**
+     * Asynchronously creates a prepared model for execution and optionally saves it into cache
+     * files.
+     *
+     * prepareModel is used to make any necessary transformations to or alternative representations
+     * to a model for execution, possibly including transformations on the constant data,
+     * optimization on the model's graph, or compilation into the device's native binary format. The
+     * model itself is not changed.
+     *
+     * Optionally, caching information may be provided for the driver to save the prepared model to
+     * cache files for faster model compilation time when the same model preparation is requested in
+     * the future. There are two types of cache file descriptors provided to the driver: model cache
+     * and data cache. For more information on the two types of cache, refer to
+     * getNumberOfCacheFilesNeeded.
+     *
+     * The file descriptors must be opened with read and write permission. A file may have any size,
+     * and the corresponding file descriptor may have any offset. The driver must truncate a file to
+     * zero size before writing to that file. The file descriptors may be closed by the client once
+     * the asynchronous preparation has finished. The driver must dup a file descriptor if it wants
+     * to get access to the cache file later.
+     *
+     * The model is prepared asynchronously with respect to the caller. The prepareModel function
+     * must verify the inputs to the preparedModel function related to preparing the model (as
+     * opposed to saving the prepared model to cache) are correct. If there is an error,
+     * prepareModel must immediately invoke the callback with the appropriate ErrorStatus value and
+     * nullptr for the IPreparedModel, then return a status with a service specific exception with
+     * the same ErrorStatus. If the inputs to the prepareModel function that are related to
+     * preparing the model are valid and there is no error, prepareModel must launch an asynchronous
+     * task to prepare the model in the background, and immediately return from prepareModel. If the
+     * asynchronous task fails to launch, prepareModel must immediately invoke the callback with
+     * ErrorStatus::GENERAL_FAILURE and nullptr for the IPreparedModel, then return a service
+     * specific exception with ErrorStatus::GENERAL_FAILURE.
+     *
+     * When the asynchronous task has finished preparing the model, it must immediately invoke the
+     * callback function provided as an input to prepareModel. If the model was prepared
+     * successfully, the callback object must be invoked with an error status of ErrorStatus::NONE
+     * and the produced IPreparedModel object. If an error occurred preparing the model, the
+     * callback object must be invoked with the appropriate ErrorStatus value and nullptr for the
+     * IPreparedModel.
+     *
+     * The model is prepared with a priority. This priority is relative to other prepared models
+     * owned by the same client. Higher priority executions may use more compute resources than
+     * lower priority executions, and may preempt or starve lower priority executions.
+     *
+     * prepareModel can be called with an optional deadline. If the model is not able to be prepared
+     * before the provided deadline, the model preparation may be aborted, and either
+     * {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
+     * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort must be
+     * sent the same way as other errors, described above.
+     *
+     * Optionally, the driver may save the prepared model to cache during the asynchronous
+     * preparation. Any error that occurs when saving to cache must not affect the status of
+     * preparing the model. Even if the input arguments related to the cache may be invalid, or the
+     * driver may fail to save to cache, the prepareModel function must finish preparing the model.
+     * The driver may choose not to save to cache even if the caching information is provided and
+     * valid.
+     *
+     * The only information that may be unknown to the model at this stage is the shape of the
+     * tensors, which may only be known at execution time. As such, some driver services may return
+     * partially prepared models, where the prepared model may only be finished when it is paired
+     * with a set of inputs to the model. Note that the same prepared model object may be used with
+     * different shapes of inputs on different (possibly concurrent) executions.
+     *
+     * Multiple threads may call prepareModel on the same model concurrently.
+     *
+     * @param model The model to be prepared for execution.
+     * @param preference Indicates the intended execution behavior of a prepared model.
+     * @param priority The priority of the prepared model relative to other prepared models owned by
+     *                 the client.
+     * @param deadline The time by which the model is expected to be prepared. The time is measured
+     *                 in nanoseconds since epoch of the steady clock (as from
+     *                 std::chrono::steady_clock). If the model cannot be prepared by the deadline,
+     *                 the preparation may be aborted. Passing -1 means the deadline is omitted.
+     *                 Other negative values are invalid.
+     * @param modelCache A vector of file descriptors for the security-sensitive cache. The length
+     *                   of the vector must either be 0 indicating that caching information is not
+     *                   provided, or match the numModelCache returned from
+     *                   getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
+     *                   the same order when retrieving the preparedModel from cache files with
+     *                   prepareModelFromCache.
+     * @param dataCache A vector of file descriptors for the constants' cache. The length of the
+     *                  vector must either be 0 indicating that caching information is not provided,
+     *                  or match the numDataCache returned from getNumberOfCacheFilesNeeded. The
+     *                  cache file descriptors will be provided in the same order when retrieving
+     *                  the preparedModel from cache files with prepareModelFromCache.
+     * @param token A caching token of length BYTE_SIZE_OF_CACHE_TOKEN identifying the prepared
+     *              model. The same token will be provided when retrieving the prepared model from
+     *              the cache files with prepareModelFromCache.  Tokens should be chosen to have a
+     *              low rate of collision for a particular application. The driver cannot detect a
+     *              collision; a collision will result in a failed execution or in a successful
+     *              execution that produces incorrect output values. If both modelCache and
+     *              dataCache are empty indicating that caching information is not provided, this
+     *              token must be ignored.
+     * @param callback A callback object used to return the error status of preparing the model for
+     *                 execution and the prepared model if successful, nullptr otherwise. The
+     *                 callback object's notify function must be called exactly once, even if the
+     *                 model could not be prepared.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if one of the input arguments related to preparing the model is
+     *       invalid
+     *     - MISSED_DEADLINE_* if the preparation is aborted because the model cannot be prepared by
+     *       the deadline
+     *     - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
+     */
+    void prepareModel(in Model model, in ExecutionPreference preference, in Priority priority,
+        in long deadline, in ParcelFileDescriptor[] modelCache, in ParcelFileDescriptor[] dataCache,
+        in byte[] token, in IPreparedModelCallback callback);
+
+    /**
+     * Creates a prepared model from cache files for execution.
+     *
+     * prepareModelFromCache is used to retrieve a prepared model directly from cache files to avoid
+     * slow model compilation time. There are two types of cache file descriptors provided to the
+     * driver: model cache and data cache. For more information on the two types of cache files,
+     * refer to getNumberOfCacheFilesNeeded.
+     *
+     * The file descriptors must be opened with read and write permission. A file may have any size,
+     * and the corresponding file descriptor may have any offset. The driver must truncate a file to
+     * zero size before writing to that file. The file descriptors may be closed by the client once
+     * the asynchronous preparation has finished. The driver must dup a file descriptor if it wants
+     * to get access to the cache file later.
+     *
+     * The model is prepared asynchronously with respect to the caller. The prepareModelFromCache
+     * function must verify the inputs to the prepareModelFromCache function are correct, and that
+     * the security-sensitive cache has not been modified since it was last written by the driver.
+     * If there is an error, or if compilation caching is not supported, or if the
+     * security-sensitive cache has been modified, prepareModelFromCache must immediately invoke the
+     * callback with the appropriate ErrorStatus value and nullptr for the IPreparedModel, then
+     * return a status with a service specific exception with the same ErrorStatus. If the inputs to
+     * the prepareModelFromCache function are valid, the security-sensitive cache is not modified,
+     * and there is no error, prepareModelFromCache must launch an asynchronous task to prepare the
+     * model in the background, and immediately return from prepareModelFromCache. If the
+     * asynchronous task fails to launch, prepareModelFromCache must immediately invoke the callback
+     * with ErrorStatus::GENERAL_FAILURE and nullptr for the IPreparedModel, then return a service
+     * specific exception with ErrorStatus::GENERAL_FAILURE.
+     *
+     * When the asynchronous task has finished preparing the model, it must immediately invoke the
+     * callback function provided as an input to prepareModelFromCache. If the model was prepared
+     * successfully, the callback object must be invoked with an error status of ErrorStatus::NONE
+     * and the produced IPreparedModel object. If an error occurred preparing the model, the
+     * callback object must be invoked with the appropriate ErrorStatus value and nullptr for the
+     * IPreparedModel.
+     *
+     * prepareModelFromCache can be called with an optional deadline. If the model is not able to
+     * prepared before the provided deadline, the model preparation may be aborted, and either
+     * {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or
+     * {@link ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort
+     * must be sent the same way as other errors, described above.
+     *
+     * The only information that may be unknown to the model at this stage is the shape of the
+     * tensors, which may only be known at execution time. As such, some driver services may return
+     * partially prepared models, where the prepared model may only be finished when it is paired
+     * with a set of inputs to the model. Note that the same prepared model object may be used with
+     * different shapes of inputs on different (possibly concurrent) executions.
+     *
+     * @param deadline The time by which the model is expected to be prepared. The time is measured
+     *                 in nanoseconds since epoch of the steady clock (as from
+     *                 std::chrono::steady_clock). If the model cannot be prepared by the deadline,
+     *                 the preparation may be aborted. Passing -1 means the deadline is omitted.
+     *                 Other negative values are invalid.
+     * @param modelCache A vector of file descriptors for the security-sensitive cache. The length
+     *                   of the vector must match the numModelCache returned from
+     *                   getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
+     *                   the same order as with prepareModel.
+     * @param dataCache A vector of file descriptors for the constants' cache. The length of the
+     *                  vector must match the numDataCache returned from
+     *                  getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
+     *                  the same order as with prepareModel.
+     * @param token A caching token of length BYTE_SIZE_OF_CACHE_TOKEN identifying the prepared
+     *              model. It is the same token provided when saving the cache files with
+     *              prepareModel. Tokens should be chosen to have a low rate of collision for a
+     *              particular application. The driver cannot detect a collision; a collision will
+     *              result in a failed execution or in a successful execution that produces
+     *              incorrect output values.
+     * @param callback A callback object used to return the error status of preparing the model for
+     *                 execution and the prepared model if successful, nullptr otherwise. The
+     *                 callback object's notify function must be called exactly once, even if the
+     *                 model could not be prepared.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if caching is not supported or if there is an unspecified error
+     *     - INVALID_ARGUMENT if one of the input arguments is invalid
+     *     - MISSED_DEADLINE_* if the preparation is aborted because the model cannot be prepared by
+     *       the deadline
+     *     - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
+     */
+    void prepareModelFromCache(in long deadline, in ParcelFileDescriptor[] modelCache,
+        in ParcelFileDescriptor[] dataCache, in byte[] token, in IPreparedModelCallback callback);
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IFencedExecutionCallback.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IFencedExecutionCallback.aidl
new file mode 100644
index 0000000..47e5916
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IFencedExecutionCallback.aidl
@@ -0,0 +1,56 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.ErrorStatus;
+import android.hardware.neuralnetworks.Timing;
+
+/**
+ * IFencedExecutionCallback can be used to query the error status result and duration information
+ * from an IPreparedModel::executeFenced call.
+ */
+@VintfStability
+interface IFencedExecutionCallback {
+    /**
+     * The getExecutionInfo method is used by the clients to query error status result and duration
+     * information. The method must only be called after the actual evaluation has finished or
+     * resulted in an runtime error, as indicated by the status of the sync fence returned by the
+     * IPreparedModel::executeFenced call, otherwise GENERAL_FAILURE must be returned.
+     *
+     * @param out timingLaunched The duration starts when executeFenced is called and ends when
+     *                           executeFenced signals the returned syncFence. Unless measureTiming
+     *                           was set to true when launching the execution and status is NONE,
+     *                           all times must be reported as -1. A driver may choose to report any
+     *                           time as -1, indicating that particular measurement is not
+     *                           available.
+     * @param out timingFenced The duration starts when all waitFor sync fences have been signaled
+     *                         and ends when executeFenced signals the returned syncFence. Unless
+     *                         measureTiming was set to true when launching the execution and status
+     *                         is NONE, all times must be reported as -1. A driver may choose to
+     *                         report any time as -1, indicating that particular measurement is not
+     *                         available.
+     * @return Error status returned from the asynchronously dispatched execution must be:
+     *     - NONE if the asynchronous execution was successful
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if the asynchronous task resulted in an unspecified error
+     *     - MISSED_DEADLINE_* if the execution is aborted because it cannot be completed by the
+     *       deadline
+     *     - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
+     */
+    ErrorStatus getExecutionInfo(out Timing timingLaunched, out Timing timingFenced);
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
new file mode 100644
index 0000000..c1b2992
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
@@ -0,0 +1,173 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.common.NativeHandle;
+import android.hardware.neuralnetworks.ErrorStatus;
+import android.hardware.neuralnetworks.ExecutionResult;
+import android.hardware.neuralnetworks.IFencedExecutionCallback;
+import android.hardware.neuralnetworks.Request;
+
+/**
+ * IPreparedModel describes a model that has been prepared for execution and is used to launch
+ * executions.
+ */
+@VintfStability
+interface IPreparedModel {
+    /**
+     * Each {@link OperationType::WHILE} operation in the model has an implicit execution timeout
+     * duration associated with it ("loop timeout duration"). This duration is configurable on a
+     * per-execution basis and must not exceed 15 seconds. The default value is 2 seconds. The units
+     * are nanoseconds.
+     */
+    const long DEFAULT_LOOP_TIMEOUT_DURATION_NS = 2000000000;
+    const long MAXIMUM_LOOP_TIMEOUT_DURATION_NS = 15000000000;
+
+    /**
+     * Performs a synchronous execution on a prepared model.
+     *
+     * The execution is performed synchronously with respect to the caller. executeSynchronously
+     * must verify the inputs to the function are correct, and the usages of memory pools allocated
+     * by IDevice::allocate are valid. If there is an error, executeSynchronously must immediately
+     * return a service specific exception with the appropriate ErrorStatus value. If the inputs to
+     * the function are valid and there is no error, executeSynchronously must perform the
+     * execution, and must not return until the execution is complete.
+     *
+     * The caller must not change the content of any data object referenced by 'request' (described
+     * by the {@link DataLocation} of a {@link RequestArgument}) until executeSynchronously returns.
+     * executeSynchronously must not change the content of any of the data objects corresponding to
+     * 'request' inputs.
+     *
+     * If the prepared model was prepared from a model wherein all tensor operands have fully
+     * specified dimensions, and the inputs to the function are valid, and at execution time every
+     * operation's input operands have legal values, then the execution should complete
+     * successfully: there must be no failure unless the device itself is in a bad state.
+     *
+     * executeSynchronously may be called with an optional deadline. If the execution is not able to
+     * be completed before the provided deadline, the execution may be aborted, and either
+     * {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
+     * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort must be
+     * sent the same way as other errors, described above.
+     *
+     * Any number of calls to the execute* functions, in any combination, may be made concurrently,
+     * even on the same IPreparedModel object.
+     *
+     * @param request The input and output information on which the prepared model is to be
+     *                executed.
+     * @param measure Specifies whether or not to measure duration of the execution. The duration
+     *                runs from the time the driver sees the call to the executeSynchronously
+     *                function to the time the driver returns from the function.
+     * @param deadline The time by which the execution is expected to complete. The time is measured
+     *                 in nanoseconds since epoch of the steady clock (as from
+     *                 std::chrono::steady_clock). If the execution cannot be finished by the
+     *                 deadline, the execution may be aborted. Passing -1 means the deadline is
+     *                 omitted. Other negative values are invalid.
+     * @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
+     *                            executing a {@link OperationType::WHILE} operation. If a loop
+     *                            condition model does not output false within this duration, the
+     *                            execution must be aborted. If -1 is provided, the maximum amount
+     *                            of time is {@link DEFAULT_LOOP_TIMEOUT_DURATION_NS}. Other
+     *                            negative values are invalid. When provided, the duration must not
+     *                            exceed {@link MAXIMUM_LOOP_TIMEOUT_DURATION_NS}.
+     * @return ExecutionResult parcelable, containing the status of the execution, output shapes and
+     *     timing information.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if one of the input arguments is invalid
+     *     - MISSED_DEADLINE_* if the execution is aborted because it cannot be completed by the
+     *       deadline
+     *     - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
+     */
+    ExecutionResult executeSynchronously(in Request request, in boolean measureTiming,
+        in long deadline, in long loopTimeoutDuration);
+
+    /**
+     * Launch a fenced asynchronous execution on a prepared model.
+     *
+     * The execution is performed asynchronously with respect to the caller. executeFenced must
+     * verify the inputs to the function are correct, and the usages of memory pools allocated by
+     * IDevice::allocate are valid. If there is an error, executeFenced must immediately return a
+     * service specific exception with the corresponding ErrorStatus. If the inputs to the function
+     * are valid and there is no error, executeFenced must dispatch an asynchronous task to perform
+     * the execution in the background, assign a sync fence that will be signaled once the execution
+     * is completed and immediately return a callback that can be used by the client to query the
+     * duration and runtime error status. If the task has finished before the call returns,
+     * syncFence file descriptor may be set to -1. The execution must wait for all the sync fences
+     * (if any) in waitFor to be signaled before starting the actual execution.
+     *
+     * When the asynchronous task has finished its execution, it must immediately signal the
+     * syncFence returned from the executeFenced call. After the syncFence is signaled, the task
+     * must not modify the content of any data object referenced by 'request' (described by the
+     * {@link DataLocation} of a {@link RequestArgument}).
+     *
+     * executeFenced may be called with an optional deadline and an optional duration. If the
+     * execution is not able to be completed before the provided deadline or within the timeout
+     * duration (measured from when all sync fences in waitFor are signaled), whichever comes
+     * earlier, the execution may be aborted, and either
+     * {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
+     * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort must be
+     * sent the same way as other errors, described above.
+     *
+     * If any of the sync fences in waitFor changes to error status after the executeFenced call
+     * succeeds, or the execution is aborted because it cannot finish before the deadline has been
+     * reached or the duration has elapsed, the driver must immediately set the returned syncFence
+     * to error status.
+     *
+     * Any number of calls to the execute* functions, in any combination, may be made concurrently,
+     * even on the same IPreparedModel object.
+     *
+     * @param request The input and output information on which the prepared model is to be
+     *                executed. The outputs in the request must have fully specified dimensions.
+     * @param waitFor A vector of sync fence file descriptors. Execution must not start until all
+     *                sync fences have been signaled.
+     * @param measure Specifies whether or not to measure duration of the execution.
+     * @param deadline The time by which the execution is expected to complete. The time is measured
+     *                 in nanoseconds since epoch of the steady clock (as from
+     *                 std::chrono::steady_clock).If the execution cannot be finished by the
+     *                 deadline, the execution may be aborted. Passing -1 means the deadline is
+     *                 omitted. Other negative values are invalid.
+     * @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
+     *                            executing a {@link OperationType::WHILE} operation. If a loop
+     *                            condition model does not output false within this duration, the
+     *                            execution must be aborted. If -1 is provided, the maximum amount
+     *                            of time is {@link DEFAULT_LOOP_TIMEOUT_DURATION_NS}. Other
+     *                            negative values are invalid. When provided, the duration must not
+     *                            exceed {@link MAXIMUM_LOOP_TIMEOUT_DURATION_NS}.
+     * @param duration The length of time in nanoseconds within which the execution is expected to
+     *                 complete after all sync fences in waitFor are signaled. If the execution
+     *                 cannot be finished within the duration, the execution may be aborted. Passing
+     *                 -1 means the duration is omitted. Other negative values are invalid.
+     * @param out syncFence The sync fence that will be signaled when the task is completed. The
+     *                      sync fence will be set to error if a critical error, e.g. hardware
+     *                      failure or kernel panic, occurs when doing execution.
+     * @return The IFencedExecutionCallback can be used to query information like duration and error
+     *     status when the execution is completed.
+     * @throws ServiceSpecificException with one of the following ErrorStatus values:
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if one of the input arguments is invalid, including fences in error
+     *       states.
+     *     - MISSED_DEADLINE_* if the execution is aborted because it cannot be completed by the
+     *       deadline
+     *     - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
+     */
+    IFencedExecutionCallback executeFenced(in Request request, in ParcelFileDescriptor[] waitFor,
+        in boolean measureTiming, in long deadline, in long loopTimeoutDuration, in long duration,
+        out @nullable ParcelFileDescriptor syncFence);
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModelCallback.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModelCallback.aidl
new file mode 100644
index 0000000..adb4218
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModelCallback.aidl
@@ -0,0 +1,51 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.ErrorStatus;
+import android.hardware.neuralnetworks.IPreparedModel;
+
+/**
+ * IPreparedModelCallback must be used to return a prepared model produced by an asynchronous task
+ * launched from IDevice::prepareModel*.
+ */
+@VintfStability
+interface IPreparedModelCallback {
+    /**
+     * Notify must be invoked immediately after the asynchronous task holding this callback has
+     * finished preparing the model. If the model was successfully prepared, the method must be
+     * invoked with ErrorStatus::NONE and the prepared model. If the model was not able to be
+     * successfully prepared, the method must be invoked with the appropriate ErrorStatus and
+     * nullptr as the IPreparedModel. If the asynchronous task holding this callback fails to launch
+     * or if the model provided to IDevice::prepareModel is invalid, notify method must be invoked
+     * with the appropriate error as well as nullptr for the IPreparedModel.
+     *
+     * @param status Error status returned from the asynchronous model preparation task; must be:
+     *               - NONE if the asynchronous task successfully prepared the model
+     *               - DEVICE_UNAVAILABLE if driver is offline or busy
+     *               - GENERAL_FAILURE if the asynchronous task resulted in an unspecified error
+     *               - INVALID_ARGUMENT if one of the input arguments to prepareModel is invalid
+     *               - MISSED_DEADLINE_* if the preparation is aborted because the model cannot be
+     *                 prepared by the deadline
+     *               - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
+     * @param preparedModel A model that has been asynchronously prepared for execution. If the
+     *                      model was unable to be prepared due to an error, nullptr must be passed
+     *                      in place of the IPreparedModel object.
+     */
+    void notify(in ErrorStatus status, in IPreparedModel preparedModel);
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModelParcel.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModelParcel.aidl
new file mode 100644
index 0000000..f198c3f
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModelParcel.aidl
@@ -0,0 +1,28 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.IPreparedModel;
+
+/**
+ * A parcelable for passing a vector of IPreparedModel objects.
+ */
+@VintfStability
+parcelable IPreparedModelParcel {
+    IPreparedModel preparedModel;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Memory.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Memory.aidl
new file mode 100644
index 0000000..8ecb067
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Memory.aidl
@@ -0,0 +1,31 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.neuralnetworks;
+import android.hardware.common.NativeHandle;
+
+import android.os.ParcelFileDescriptor;
+
+/**
+ * A type that is used to pass pieces of shared memory between processes.
+ * The type structure mimics hidl_memory type from HIDL.
+ */
+@VintfStability
+parcelable Memory {
+    NativeHandle handle;
+    long size;
+    String name;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Model.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Model.aidl
new file mode 100644
index 0000000..3bb7318
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Model.aidl
@@ -0,0 +1,70 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.ExtensionNameAndPrefix;
+import android.hardware.neuralnetworks.Subgraph;
+import android.hardware.neuralnetworks.Memory;
+
+/**
+ * A Neural Network Model.
+ *
+ * This includes not only the execution graph, but also constant data such as weights or scalars
+ * added at construction time. The only information that may not be known is the shape of the input
+ * tensors.
+ */
+@VintfStability
+parcelable Model {
+    /**
+     * The top-level subgraph.
+     */
+    Subgraph main;
+    /**
+     * Referenced subgraphs.
+     *
+     * Each subgraph is referenced by the main subgraph or at least one other referenced subgraph.
+     *
+     * There must be no reference cycles.
+     */
+    Subgraph[] referenced;
+    /**
+     * A byte buffer containing operand data that were copied into the model.
+     *
+     * An operand's value must be located here if and only if Operand::lifetime equals
+     * OperandLifeTime::CONSTANT_COPY.
+     */
+    byte[] operandValues;
+    /**
+     * A collection of shared memory pools containing operand values.
+     *
+     * An operand's value must be located here if and only if Operand::lifetime equals
+     * OperandLifeTime::CONSTANT_POOL.
+     */
+    Memory[] pools;
+    /**
+     * 'true' indicates TENSOR_FLOAT32 may be calculated with range and/or precision as low as that
+     * of the IEEE 754 16-bit floating-point format.
+     * 'false' indicates TENSOR_FLOAT32 must be calculated using at least the range and precision of
+     * the IEEE 754 32-bit floating-point format.
+     */
+    boolean relaxComputationFloat32toFloat16;
+    /**
+     * The mapping between extension names and prefixes of operand and operation type values.
+     */
+    ExtensionNameAndPrefix[] extensionNameToPrefix;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/NumberOfCacheFiles.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/NumberOfCacheFiles.aidl
new file mode 100644
index 0000000..1ca2676
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/NumberOfCacheFiles.aidl
@@ -0,0 +1,27 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Structure indicating how many files for model and numDataCache cache the driver needs to cache a
+ * single prepared model.
+ */
+@VintfStability
+parcelable NumberOfCacheFiles {
+    int numModelCache;
+    int numDataCache;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Operand.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Operand.aidl
new file mode 100644
index 0000000..243a89d
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Operand.aidl
@@ -0,0 +1,113 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.DataLocation;
+import android.hardware.neuralnetworks.OperandExtraParams;
+import android.hardware.neuralnetworks.OperandLifeTime;
+import android.hardware.neuralnetworks.OperandType;
+
+/**
+ * Describes one operand of the model's graph.
+ */
+@VintfStability
+parcelable Operand {
+    /**
+     * The data type.
+     *
+     * Besides the values listed in {@link OperandType}, any value above
+     * {@link IDevice::OPERAND_TYPE_BASE_MAX} is possible and should be interpreted as an extension
+     * type according to {@link Model::extensionNameToPrefix}.
+     */
+    OperandType type;
+    /**
+     * Dimensions of the operand.
+     *
+     * For a scalar operand, dimensions.size() must be 0.
+     *
+     * A tensor operand with all dimensions specified has "fully specified" dimensions. Whenever
+     * possible (i.e., whenever the dimensions are known at model construction time), a tensor
+     * operand should have (but is not required to have) fully specified dimensions, in order to
+     * enable the best possible performance.
+     *
+     * If a tensor operand's dimensions are not fully specified, the dimensions of the operand are
+     * deduced from the operand dimensions and values of the operation for which that operand is an
+     * output or from the corresponding {@link OperationType::IF} or {@link OperationType::WHILE}
+     * operation input operand dimensions in the case of referenced subgraph input operands.
+     *
+     * In the following situations, a tensor operand's dimensions must be fully specified:
+     *
+     *     . The operand has lifetime CONSTANT_COPY or CONSTANT_POOL.
+     *
+     *     . The operand has lifetime SUBGRAPH_INPUT and belongs to the main subgraph. Fully
+     *       specified dimensions must either be present in the Operand or they must be provided in
+     *       the corresponding RequestArgument.
+     *       EXCEPTION: If the input is optional and omitted (by setting the hasNoValue field of the
+     *       corresponding RequestArgument to true) then it need not have fully specified
+     *       dimensions.
+     *
+     * A tensor operand with some number of unspecified dimensions is represented by setting each
+     * unspecified dimension to 0.
+     *
+     * A tensor operand with unspecified rank is represented by providing an empty dimensions
+     * vector.
+     */
+    int[] dimensions;
+    /**
+     * Quantized scale of the operand.
+     *
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
+     */
+    float scale;
+    /**
+     * Quantized zero-point offset of the operand.
+     *
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
+     */
+    int zeroPoint;
+    /**
+     * How the operand is used.
+     */
+    OperandLifeTime lifetime;
+    /**
+     * Where to find the data for this operand.
+     * If the lifetime is TEMPORARY_VARIABLE, SUBGRAPH_INPUT, SUBGRAPH_OUTPUT, or NO_VALUE:
+     * - All the fields must be 0.
+     * If the lifetime is CONSTANT_COPY:
+     * - location.poolIndex is 0.
+     * - location.offset is the offset in bytes into Model.operandValues.
+     * - location.length is set.
+     * If the lifetime is CONSTANT_POOL:
+     * - location.poolIndex is set.
+     * - location.offset is the offset in bytes into the specified pool.
+     * - location.length is set.
+     * If the lifetime is SUBGRAPH:
+     * - location.poolIndex is 0.
+     * - location.offset is the index of the referenced subgraph in {@link Model::referenced}.
+     * - location.length is 0.
+     */
+    DataLocation location;
+    /**
+     * Additional parameters specific to a particular operand type.
+     */
+    @nullable OperandExtraParams extraParams;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandExtraParams.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandExtraParams.aidl
new file mode 100644
index 0000000..b0112ae
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandExtraParams.aidl
@@ -0,0 +1,40 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.SymmPerChannelQuantParams;
+
+/**
+ * Parameters specific to a particular operand type.
+ */
+@VintfStability
+union OperandExtraParams {
+    /**
+     * Symmetric per-channel quantization parameters.
+     *
+     * Only applicable to operands of type TENSOR_QUANT8_SYMM_PER_CHANNEL.
+     */
+    SymmPerChannelQuantParams channelQuant;
+    /**
+     * Extension operand parameters.
+     *
+     * The framework treats this as an opaque data blob.
+     * The format is up to individual extensions.
+     */
+    byte[] extension;
+}
\ No newline at end of file
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandLifeTime.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandLifeTime.aidl
new file mode 100644
index 0000000..63d1971
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandLifeTime.aidl
@@ -0,0 +1,63 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * How an operand is used.
+ */
+@VintfStability
+@Backing(type="int")
+enum OperandLifeTime {
+    /**
+     * The operand is internal to the model. It's created by an operation and consumed by other
+     * operations. It must be an output operand of exactly one operation.
+     */
+    TEMPORARY_VARIABLE,
+    /**
+     * The operand is an input of a subgraph. It must not be an output operand of any operation.
+     *
+     * An operand can't be both input and output of a subgraph.
+     */
+    SUBGRAPH_INPUT,
+    /**
+     * The operand is an output of a subgraph. It must be an output operand of exactly one
+     * operation.
+     *
+     * An operand can't be both input and output of a subgraph.
+     */
+    SUBGRAPH_OUTPUT,
+    /**
+     * The operand is a constant found in Model.operandValues. It must not be an output operand of
+     * any operation.
+     */
+    CONSTANT_COPY,
+    /**
+     * The operand is a constant that was specified via a Memory object. It must not be an output
+     * operand of any operation.
+     */
+    CONSTANT_POOL,
+    /**
+     * The operand does not have a value. This is valid only for optional arguments of operations.
+     */
+    NO_VALUE,
+    /**
+     * The operand is a reference to a subgraph. It must be an input to one or more
+     * {@link OperationType::IF} or {@link OperationType::WHILE} operations.
+     */
+    SUBGRAPH,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandPerformance.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandPerformance.aidl
new file mode 100644
index 0000000..9a8c2cc
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandPerformance.aidl
@@ -0,0 +1,31 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.OperandType;
+import android.hardware.neuralnetworks.PerformanceInfo;
+
+/**
+ * Driver performance when operating on a particular data type. In the case of float32 data, this is
+ * used when the calculations are not relaxed.
+ */
+@VintfStability
+parcelable OperandPerformance {
+    OperandType type;
+    PerformanceInfo info;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandType.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandType.aidl
new file mode 100644
index 0000000..9274b6f
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperandType.aidl
@@ -0,0 +1,154 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Operand types.
+ *
+ * The type of an operand in a model.
+ *
+ * Types prefaced with TENSOR_* must be used for tensor data (i.e., tensors
+ * with at least one dimension). Types not prefaced by TENSOR_* represent
+ * scalar values and must have no dimensions.
+ */
+@VintfStability
+@Backing(type="int")
+enum OperandType {
+    /**
+     * A 32 bit floating point scalar value.
+     */
+    FLOAT32 = 0,
+    /**
+     * A signed 32 bit integer scalar value.
+     */
+    INT32 = 1,
+    /**
+     * An unsigned 32 bit integer scalar value.
+     */
+    UINT32 = 2,
+    /**
+     * A tensor of 32 bit floating point values.
+     */
+    TENSOR_FLOAT32 = 3,
+    /**
+     * A tensor of 32 bit integer values.
+     */
+    TENSOR_INT32 = 4,
+    /**
+     * A tensor of 8 bit unsigned integers that represent real numbers.
+     *
+     * Attached to this tensor are two numbers that can be used to convert the 8 bit integer to the
+     * real value and vice versa. These two numbers are:
+     * - scale: a 32 bit floating point value greater than zero.
+     * - zeroPoint: a 32 bit integer, in range [0, 255].
+     *
+     * The formula is:
+     *   real_value = (integer_value - zeroPoint) * scale.
+     */
+    TENSOR_QUANT8_ASYMM = 5,
+    /**
+     * An 8 bit boolean scalar value.
+     *
+     * Values of this operand type are either true or false. A zero value represents false; any
+     * other value represents true.
+     */
+    BOOL = 6,
+    /**
+     * A tensor of 16 bit signed integers that represent real numbers.
+     *
+     * Attached to this tensor is a number representing real value scale that is used to convert the
+     * 16 bit number to a real value in the following way:
+     * realValue = integerValue * scale.
+     *
+     * scale is a 32 bit floating point with value greater than zero.
+     */
+    TENSOR_QUANT16_SYMM = 7,
+    /**
+     * A tensor of IEEE 754 16 bit floating point values.
+     */
+    TENSOR_FLOAT16 = 8,
+    /**
+     * A tensor of 8 bit boolean values.
+     *
+     * Values of this operand type are either true or false. A zero value represents false; any
+     * other value represents true.
+     */
+    TENSOR_BOOL8 = 9,
+    /**
+     * An IEEE 754 16 bit floating point scalar value.
+     */
+    FLOAT16 = 10,
+    /**
+     * A tensor of 8 bit signed integers that represent real numbers.
+     *
+     * This tensor is associated with additional fields that can be used to convert the 8 bit signed
+     * integer to the real value and vice versa. These fields are:
+     * - channelDim: a 32 bit unsigned integer indicating channel dimension.
+     * - scales: an array of positive 32 bit floating point values.
+     * The size of the scales array must be equal to dimensions[channelDim].
+     *
+     * {@link SymmPerChannelQuantParams} must hold the parameters for an Operand of this type.
+     * The channel dimension of this tensor must not be unknown (dimensions[channelDim] != 0).
+     *
+     * The formula is:
+     * realValue[..., C, ...] =
+     *     integerValue[..., C, ...] * scales[C]
+     * where C is an index in the Channel dimension.
+     */
+    TENSOR_QUANT8_SYMM_PER_CHANNEL = 11,
+    /**
+     * A tensor of 16 bit unsigned integers that represent real numbers.
+     *
+     * Attached to this tensor are two numbers that can be used to convert the 16 bit integer to the
+     * real value and vice versa. These two numbers are:
+     * - scale: a 32 bit floating point value greater than zero.
+     * - zeroPoint: a 32 bit integer, in range [0, 65535].
+     *
+     * The formula is:
+     * real_value = (integer_value - zeroPoint) * scale.
+     */
+    TENSOR_QUANT16_ASYMM = 12,
+    /**
+     * A tensor of 8 bit signed integers that represent real numbers.
+     *
+     * Attached to this tensor is a number representing real value scale that is used to convert the
+     * 8 bit number to a real value in the following way:
+     * realValue = integerValue * scale.
+     *
+     * scale is a 32 bit floating point with value greater than zero.
+     */
+    TENSOR_QUANT8_SYMM = 13,
+    /**
+     * A tensor of 8 bit signed integers that represent real numbers.
+     *
+     * Attached to this tensor are two numbers that can be used to convert the 8 bit integer to the
+     * real value and vice versa. These two numbers are:
+     * - scale: a 32 bit floating point value greater than zero.
+     * - zeroPoint: a 32 bit integer, in range [-128, 127].
+     *
+     * The formula is:
+     * real_value = (integer_value - zeroPoint) * scale.
+     */
+    TENSOR_QUANT8_ASYMM_SIGNED = 14,
+    /**
+     * A reference to a subgraph.
+     *
+     * Must have the lifetime {@link OperandLifeTime::SUBGRAPH}.
+     */
+    SUBGRAPH = 15,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Operation.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Operation.aidl
new file mode 100644
index 0000000..acfb4b7
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Operation.aidl
@@ -0,0 +1,46 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.OperationType;
+
+/**
+ * Describes one operation of the model's graph.
+ */
+@VintfStability
+parcelable Operation {
+    /**
+     * The operation type.
+     *
+     * Besides the values listed in {@link OperationType}, any value above
+     * {@link IDevice::OPERATION_TYPE_BASE_MAX} is possible and should be interpreted as an
+     * extension type according to {@link Model::extensionNameToPrefix}.
+     */
+    OperationType type;
+    /**
+     * Describes the table that contains the indexes of the inputs of the operation. The offset is
+     * the index in the operandIndexes table.
+     */
+    int[] inputs;
+    /**
+     * Describes the table that contains the indexes of the outputs of the operation. The offset is
+     * the index in the operandIndexes table.
+     */
+    int[] outputs;
+}
+
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl
new file mode 100644
index 0000000..fd9da67
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OperationType.aidl
@@ -0,0 +1,5132 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Operation types.
+ *
+ * The type of an operation in a model.
+ */
+@VintfStability
+@Backing(type="int")
+enum OperationType {
+    /**
+     * Adds two tensors, element-wise.
+     *
+     * Takes two input tensors of identical {@link OperandType} and compatible
+     * dimensions. The output is the sum of both input tensors, optionally
+     * modified by an activation function.
+     *
+     * Two dimensions are compatible when:
+     *     1. they are equal, or
+     *     2. one of them is 1
+     *
+     * The size of the output is the maximum size along each dimension of the
+     * input operands. It starts with the trailing dimensions, and works its
+     * way forward.
+     *
+     * Example:
+     *
+     *     input1.dimension = {4, 1, 2}
+     *     input2.dimension = {5, 4, 3, 1}
+     *     output.dimension = {5, 4, 3, 2}
+     *
+     * Since HAL version 1.2, generic zero-sized input tensor is supported. Zero
+     * dimension is only compatible with 0 or 1. The size of the output
+     * dimension is zero if either of corresponding input dimension is zero.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType}, and compatible dimensions
+     *      as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scales and zeroPoint can be different from input0 scale and zeroPoint.
+     * * 2: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     *      For a {@link OperandType::TENSOR_INT32} tensor,
+     *      the {@link FusedActivationFunc} must be "NONE".
+     *
+     * Outputs:
+     * * 0: The sum, a tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
+     */
+    ADD = 0,
+    /**
+     * Performs a 2-D average pooling operation.
+     *
+     * The output dimensions are functions of the filter dimensions, stride, and
+     * padding.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[b, i, j, channel] =
+     *         sum_{di, dj}(
+     *             input[b, strides[1] * i + di, strides[2] * j + dj, channel]
+     *         ) / sum(1)
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Both explicit padding and implicit padding are supported.
+     *
+     * Inputs (explicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the left, in the ‘width’ dimension.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the right, in the ‘width’ dimension.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the top, in the ‘height’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the bottom, in the ‘height’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the filter
+     *      width.
+     * * 8: An {@link OperandType::INT32} scalar, specifying the filter
+     *      height.
+     * * 9: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 10: An optional {@link OperandType::BOOL} scalar, default to false.
+     *       Set to true to specify NCHW data layout for input0 and output0.
+     *       Available since HAL version 1.2.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the implicit
+     *      padding scheme, has to be one of the
+     *      following values: {0 (NONE), 1 (SAME), 2 (VALID)}.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the filter
+     *      width.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the filter
+     *      height.
+     * * 6: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 7: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    AVERAGE_POOL_2D = 1,
+    /**
+     * Concatenates the input tensors along the given dimension.
+     *
+     * The input tensors must have identical {@link OperandType} and the same
+     * dimensions except the dimension along the concatenation axis.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *   (full support since HAL version 1.2, see the input section)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0 ~ n-1: The list of n input tensors, of shape
+     *            [D0, D1, ..., Daxis(i), ..., Dm].
+     *            Before HAL version 1.2, all input tensors of
+     *            {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *            must have the same scale and zeroPoint as the output tensor.
+     *            Input tensors of
+     *            {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *            are allowed to have different scale and zeroPoint.
+     *            Since HAL version 1.2, zero-sized tensors are supported.
+     * * n: An {@link OperandType::INT32} scalar, specifying the
+     *      concatenation axis.
+     *
+     * Outputs:
+     * * 0: The output, a tensor of the same {@link OperandType} as the input
+     *      tensors. The output shape is [D0, D1, ..., sum(Daxis(i)), ..., Dm].
+     *      Since HAL version 1.2, for a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      the scale and zeroPoint values can be different from
+     *      input tensors. Before HAL version 1.2 they have to be the same as for the input tensors.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint values can be different from input tensors.
+     */
+    CONCATENATION = 2,
+    /**
+     * Performs a 2-D convolution operation.
+     *
+     * The CONV_2D op sweeps a 2-D filter that can mix channels together over a
+     * batch of images, applying the filter to each window of each image of the
+     * appropriate size.
+     *
+     * The output dimensions are functions of the filter dimensions, stride, and
+     * padding.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[b, i, j, channel] =
+     *         sum_{di, dj, k} (
+     *             input[b, strides[1] * i + di, strides[2] * j + dj, k] *
+     *             filter[channel, di, dj, k]
+     *         ) + bias[channel]
+     *
+     * Supported tensor {@link OperandType} configurations:
+     * * 32 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT32} for input, filter, output, and bias.
+     *
+     * * Quantized:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * Available since HAL version 1.2:
+     * * 16 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT16} for input, filter, output, and bias.
+     *
+     * * Quantized with symmetric per channel quantization for the filter:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * Available since HAL version 1.3:
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Both explicit padding and implicit padding are supported.
+     *
+     * Inputs (explicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: A 4-D tensor, of shape
+     *      [depth_out, filter_height, filter_width, depth_in], specifying the
+     *      filter.
+     *      For tensor of type {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      the channel dimension (SymmPerChannelQuantParams::channelDim)
+     *      must be set to 0.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32}
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
+     *      of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the left, in the ‘width’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the right, in the ‘width’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the top, in the ‘height’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the bottom, in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 8: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 9: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 10: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     * * 11: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for width. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on width dimension. If this input is set,
+     *      input 12 (dilation factor for height) must be specified as well.
+     *      Available since HAL version 1.2.
+     * * 12: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for height. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on height dimension. If this input is set,
+     *      input 11 (dilation factor for width) must be specified as well.
+     *      Available since HAL version 1.2.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: A 4-D tensor, of shape
+     *      [depth_out, filter_height, filter_width, depth_in], specifying the
+     *      filter.
+     *      For tensor of type {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      the channel dimension (SymmPerChannelQuantParams::channelDim)
+     *      must be set to 0.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32}
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
+     *      type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
+     *      of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::INT32} scalar, specifying the implicit
+     *      padding scheme, has to be one of the
+     *      following values: {0 (NONE), 1 (SAME), 2 (VALID)}.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 7: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     * * 8: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for width. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on width dimension. If this input is set,
+     *      input 9 (dilation factor for height) must be specified as well.
+     *      Available since HAL version 1.2.
+     * * 9: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for height. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on height dimension. If this input is set,
+     *      input 8 (dilation factor for width) must be specified as well.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth_out].
+     *      Before HAL version 1.2, for output tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the following condition must be satisfied: output_scale > input_scale * filter_scale
+     */
+    CONV_2D = 3,
+    /**
+     * Performs a depthwise 2-D convolution operation.
+     *
+     * Given an input tensor of shape [batches, height, width, depth_in] and a
+     * filter tensor of shape [1, filter_height, filter_width, depth_out]
+     * containing depth_out convolutional filters of depth 1, DEPTHWISE_CONV
+     * applies a different filter to each input channel (expanding from 1
+     * channel to channel_multiplier channels for each), then concatenates the
+     * results together.
+     *
+     * The output has depth_out = depth_in * depth_multiplier channels.
+     * The output dimensions are functions of the filter dimensions, stride, and
+     * padding.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[b, i, j, k * channel_multiplier + q] =
+     *         sum_{di, dj} (
+     *             input[b, strides[1] * i + di, strides[2] * j + dj, k] *
+     *             filter[1, di, dj, k * channel_multiplier + q]
+     *         ) + bias[k * channel_multiplier + q]
+     *
+     * Supported tensor {@link OperandType} configurations:
+     * * 32 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT32} for input, filter, output, and bias.
+     *
+     * * Quantized:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * Available since HAL version 1.2:
+     * * 16 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT16} for input, filter, output, and bias.
+     *
+     * * Quantized with symmetric per channel quantization for the filter:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * Available since HAL version 1.3:
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Both explicit padding and implicit padding are supported.
+     *
+     * Inputs (explicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
+     *      specifying the filter.
+     *      For tensor of type {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      the channel dimension (SymmPerChannelQuantParams::channelDim)
+     *      must be set to 3.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32}
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
+     *      of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the left, in the ‘width’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the right, in the ‘width’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the top, in the ‘height’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the bottom, in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 8: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 9: An {@link OperandType::INT32} scalar, specifying the depthwise
+     *      multiplier.
+     * * 10: An {@link OperandType::INT32} scalar, and has to be one of the
+     *       {@link FusedActivationFunc} values. Specifies the activation to
+     *       invoke on the result.
+     * * 11: An optional {@link OperandType::BOOL} scalar, default to false.
+     *       Set to true to specify NCHW data layout for input0 and output0.
+     *       Available since HAL version 1.2.
+     * * 12: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for width. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on width dimension. If this input is set,
+     *      input 13 (dilation factor for height) must be specified as well.
+     *      Available since HAL version 1.2.
+     * * 13: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for height. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on height dimension. If this input is set,
+     *      input 12 (dilation factor for width) must be specified as well.
+     *      Available since HAL version 1.2.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
+     *      specifying the filter.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32}
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
+     *      of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::INT32} scalar, specifying the implicit
+     *      padding scheme, has to be one of the
+     *      following values: {0 (NONE), 1 (SAME), 2 (VALID)}.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the depthwise
+     *      multiplier.
+     * * 7: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 8: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     * * 9: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for width. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on width dimension. If this input is set,
+     *      input 10 (dilation factor for height) must be specified as well.
+     *      Available since HAL version 1.2.
+     * * 10: An optional {@link OperandType::INT32} scalar, specifying the dilation
+     *      factor for height. Defaults to 1. If set to k > 1, there will be k-1 skipped
+     *      cells between each filter element on height dimension. If this input is set,
+     *      input 9 (dilation factor for width) must be specified as well.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth_out]. Before HAL version 1.2, for
+     *      output tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the following condition must be satisfied:
+     *      output_scale > input_scale * filter_scale
+     */
+    DEPTHWISE_CONV_2D = 4,
+    /**
+     * Rearranges data from depth into blocks of spatial data.
+     *
+     * More specifically, this op outputs a copy of the input tensor where
+     * values from the depth dimension are moved in spatial blocks to the height
+     * and width dimensions. The value block_size indicates the input block size
+     * and how the data is moved.
+     *
+     * Chunks of data of size block_size * block_size from depth are rearranged
+     * into non-overlapping blocks of size block_size x block_size.
+     *
+     * The width of the output tensor is input_depth * block_size, whereas the
+     * height is input_height * block_size. The depth of the input tensor must
+     * be divisible by block_size * block_size
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Inputs:
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the block_size.
+     *      block_size must be >=1 and block_size * block_size must be a divisor
+     *      of the input depth.
+     * * 2: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape [batch, height*block_size,
+     *      width*block_size, depth/(block_size*block_size)].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    DEPTH_TO_SPACE = 5,
+    /**
+     * Dequantizes the input tensor.
+     *
+     * The formula is:
+     *
+     *     output = (input - zeroPoint) * scale.
+     *
+     * Supported input tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_SYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported output tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}.
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     *
+     * Outputs:
+     * * 0: A tensor with the same shape as input0.
+     */
+    DEQUANTIZE = 6,
+    /**
+     * Looks up sub-tensors in the input tensor.
+     *
+     * This operator takes for input a tensor of values (Values) and
+     * a one-dimensional tensor of selection indices (Lookups).
+     * The output tensor is the concatenation of sub-tensors of Values as
+     * selected by Lookups.
+     *
+     * Think of Values as being sliced along its first dimension:
+     * The entries in Lookups select which slices are concatenated together
+     * to create the output tensor.
+     *
+     * For example, if Values has shape of [40, 200, 300] and
+     * Lookups has shape of [3], all three values found in Lookups are
+     * expected to be between 0 and 39. The resulting tensor must
+     * have shape of [3, 200, 300].
+     *
+     * If a value in Lookups is out of bounds, the operation must fail
+     * and an error must be reported.
+     *
+     * Supported value tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.3)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported value tensor rank: from 2
+     *
+     * Inputs:
+     * * 0: Lookups. A 1-D tensor of {@link OperandType::TENSOR_INT32}.
+     *      The values are indices into the first dimension of Values.
+     * * 1: Values. An n-D tensor, where n >= 2, from which sub-tensors are
+     *      extracted.
+     *
+     * Output:
+     * * 0: A n-D tensor with the same rank and shape as the Values
+     *      tensor, except for the first dimension which has the same size
+     *      as Lookups' only dimension.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input1.
+     */
+    EMBEDDING_LOOKUP = 7,
+    /**
+     * Computes element-wise floor() on the input tensor.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor, of the same {@link OperandType} and dimensions as
+     *      the input tensor.
+     */
+    FLOOR = 8,
+    /**
+     * Denotes a fully (densely) connected layer, which connects all elements
+     * in the input tensor with each element in the output tensor.
+     *
+     * This layer implements the operation:
+     *
+     *     outputs = activation(inputs * weights’ + bias)
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor of at least rank 2, specifying the input. If rank is
+     *      greater than 2, then it gets flattened to a 2-D Tensor. The
+     *      (flattened) 2-D Tensor is reshaped (if necessary) to
+     *      [batch_size, input_size], where "input_size" corresponds to the
+     *      number of inputs to the layer, matching the second dimension of
+     *      weights, and "batch_size" is calculated by dividing the number of
+     *      elements by "input_size".
+     *      Since HAL version 1.2, zero batch_size is supported for this tensor.
+     * * 1: A 2-D tensor, specifying the weights, of shape
+     *      [num_units, input_size], where "num_units" corresponds to the number
+     *      of output nodes.
+     * * 2: A 1-D tensor, of shape [num_units], specifying the bias. For input
+     *      tensor of {@link OperandType::TENSOR_FLOAT32}, the bias should
+     *      also be of {@link OperandType::TENSOR_FLOAT32}.
+     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
+     * * 3: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     *
+     * Outputs:
+     * * 0: The output tensor, of shape [batch_size, num_units]. Before HAL version 1.2, for
+     *      output tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}, the following
+     *      condition must be satisfied: output_scale > input_scale * filter_scale.
+     */
+    FULLY_CONNECTED = 9,
+    /**
+     * Looks up sub-tensors in the input tensor using a key-value map.
+     *
+     * This operator takes for input a tensor of values (Values),
+     * a one-dimensional tensor of selection values (Lookups) and
+     * a one-dimensional tensor that maps these values to Values
+     * indexes. The output tensor is the concatenation of sub-tensors of
+     * Values as selected by Lookups via Keys.
+     *
+     * Think of Values as being sliced along its outer-most dimension.
+     * The output is a concatenation of selected slices, with one slice
+     * for each entry of Lookups. The slice selected is the one at the
+     * same index as the Maps entry that matches the value in Lookups.
+     *
+     * For a hit, the corresponding sub-tensor of Values is included
+     * in the Output tensor. For a miss, the corresponding sub-tensor in
+     * Output must have zero values.
+     *
+     * For example, if Values has shape of [40, 200, 300],
+     * Keys should have a shape of [40]. If Lookups tensor has shape
+     * of [3], three slices are being concatenated, so the resulting tensor
+     * must have the shape of [3, 200, 300]. If the first entry in Lookups
+     * has the value 123456, that value must be located in Keys tensor.
+     * If the sixth entry of Keys contains 123456, the sixth slice of Values
+     * must be selected. If no entry in Keys has 123456, a slice of zeroes
+     * must be concatenated.
+     *
+     * Supported value tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported value tensor rank: from 2
+     *
+     * Inputs:
+     * * 0: Lookups. A 1-D {@link OperandType::TENSOR_INT32} tensor with
+     *      shape [ k ].
+     * * 1: Keys. A 1-D {@link OperandType::TENSOR_INT32} tensor with shape
+     *      [ n ]; Keys and Values pair represent a map, i.e., the ith element
+     *      in Keys (Keys[i]) is the key to select the ith sub-tensor in Values
+     *      (Values[i]), where 0 <= i <= n-1. Keys tensor *MUST* be sorted in
+     *      ascending order.
+     * * 2: Values. A tensor with shape of [ n, … ]; i.e., the first dimension
+     *      must be n.
+     *
+     * Outputs:
+     * * 0: Output. A tensor with shape [ k …].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      the scale and zeroPoint must be the same as input2.
+     * * 1: Hits. A boolean tensor with shape [ k ] indicates whether the lookup
+     *      hits (True) or not (False).
+     *      Stored as {@link OperandType::TENSOR_QUANT8_ASYMM} with offset 0
+     *      and scale 1.0f.
+     *      A non-zero byte represents True, a hit. A zero indicates otherwise.
+     */
+    HASHTABLE_LOOKUP = 10,
+    /**
+     * Applies L2 normalization along the axis dimension.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[batch, row, col, channel] =
+     *         input[batch, row, col, channel] /
+     *         sqrt(sum_{c} pow(input[batch, row, col, c], 2))
+     *
+     * By default the axis dimension is the last dimension of the input tensor.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     * Tensors with rank less than 4 are only supported since HAL version 1.2.
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be normalized.
+     * * 1: An optional {@link OperandType::INT32} scalar, default to -1,
+     *      specifying the dimension normalization would be performed on.
+     *      Negative index is used to specify axis from the end (e.g. -1 for
+     *      the last axis). Must be in the range [-n, n).
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} and same shape as input0.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the scale must be 1.f / 128 and the zeroPoint must be 128.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the scale must be 1.f / 128 and the zeroPoint must be 0.
+     *
+     *      NOTE: Before HAL version 1.3, if the elements along an axis are all zeros,
+     *      the result is undefined. Since HAL version 1.3, if the elements along an axis
+     *      are all zeros, the result is logical zero.
+     */
+    L2_NORMALIZATION = 11,
+    /**
+     * Performs an 2-D L2 pooling operation.
+     *
+     * The output dimensions are functions of the filter dimensions, stride, and
+     * padding.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[b, i, j, c] =
+     *         sqrt(sum_{di, dj} pow(input[b, strides[1] * i + di, strides[2] * j + dj, c], 2) /
+     *              sum(1))
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Both explicit padding and implicit padding are supported.
+     *
+     * Inputs (explicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the left, in the ‘width’ dimension.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the right, in the ‘width’ dimension.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the top, in the ‘height’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the bottom, in the ‘height’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the filter
+     *      width.
+     * * 8: An {@link OperandType::INT32} scalar, specifying the filter
+     *      height.
+     * * 9: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 10: An optional {@link OperandType::BOOL} scalar, default to false.
+     *       Set to true to specify NCHW data layout for input0 and output0.
+     *       Available since HAL version 1.2.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the implicit
+     *      padding scheme, has to be one of the
+     *      following values: {0 (NONE), 1 (SAME), 2 (VALID)}.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the filter
+     *      width.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the filter
+     *      height.
+     * * 6: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 7: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth].
+     */
+    L2_POOL_2D = 12,
+    /**
+     * Applies Local Response Normalization along the depth dimension.
+     *
+     * The 4-D input tensor is treated as a 3-D array of 1-D vectors (along the
+     * last dimension), and each vector is normalized independently. Within a
+     * given vector, each component is divided by the weighted, squared sum of
+     * inputs within depth_radius.
+     *
+     * The output is calculated using this formula:
+     *
+     *     sqr_sum[a, b, c, d] = sum(
+     *         pow(input[a, b, c, d - depth_radius : d + depth_radius + 1], 2))
+     *     output = input / pow((bias + alpha * sqr_sum), beta)
+     *
+     * For input tensor with rank less than 4, independently normalizes each
+     * 1-D slice along specified dimension.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: up to 4
+     * Tensors with rank less than 4 are only supported since HAL version 1.2.
+     *
+     * Inputs:
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the radius of
+     *      the normalization window.
+     * * 2: A scalar, specifying the bias, must not be zero.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the bias
+     *      value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the bias
+     *      value must be of {@link OperandType::FLOAT32}.
+     * * 3: A scalar, specifying the scale factor, alpha.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the
+     *      alpha value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the
+     *      alpha value must be of {@link OperandType::FLOAT32}.
+     * * 4: A scalar, specifying the exponent, beta.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta
+     *      value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta
+     *      value must be of {@link OperandType::FLOAT32}.
+     * * 5: An optional {@link OperandType::INT32} scalar, default to -1,
+     *      specifying the dimension normalization would be performed on.
+     *      Negative index is used to specify axis from the end (e.g. -1 for
+     *      the last axis). Must be in the range [-n, n).
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    LOCAL_RESPONSE_NORMALIZATION = 13,
+    /**
+     * Computes sigmoid activation on the input tensor element-wise.
+     *
+     * The output is calculated using this formula:
+     *
+     *     output = 1 / (1 + exp(-input))
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the scale must be 1.f / 256 and the zeroPoint must be 0.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the scale must be 1.f / 256 and the zeroPoint must be -128.
+     */
+    LOGISTIC = 14,
+    /**
+     * Projects an input to a bit vector via locality senstive hashing.
+     *
+     * Supported input tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported input tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: Hash functions. Dim.size == 2, DataType: Float.
+     *      Tensor[0].Dim[0]: 15 of hash functions.
+     *      Tensor[0].Dim[1]: 16 of projected output bits generated by each
+     *      hash function.
+     *      If the projection type is Sparse:
+     *      Tensor[0].Dim[1] + ceil(log2(Tensor[0].Dim[0])) <= 32
+     *
+     * * 1: Input. Dim.size >= 1, no restriction on DataType.
+     * * 2: Weight. Optional. Dim.size == 1, DataType: Float.
+     *      If not set, each input element is considered to have the same weight
+     *      of 1.0.
+     *      Tensor[1].Dim[0] == Tensor[2].Dim[0]
+     * * 3: Type:
+     *        Sparse:
+     *          Value LSHProjectionType_SPARSE(=3) (since HAL version 1.2).
+     *          Computed bit vector is considered to be sparse.
+     *          Each output element is an int32 made up of multiple bits
+     *          computed from hash functions.
+     *
+     *          NOTE: To avoid collisions across hash functions, an offset value
+     *          of k * (1 << Tensor[0].Dim[1]) will be added to each signature,
+     *          where k is the index of the hash function.
+     *
+     *          Value LSHProjectionType_SPARSE_DEPRECATED(=1).
+     *          Legacy behavior that does not include the offset value.
+     *
+     *        Dense:
+     *          Value LSHProjectionType_DENSE(=2).
+     *          Computed bit vector is considered to be dense. Each output
+     *          element represents a bit and can take the value of either
+     *          0 or 1.
+     *
+     * Outputs:
+     * * 0: If the projection type is Sparse:
+     *      Output.Dim == { Tensor[0].Dim[0] }
+     *      A tensor of int32 that represents hash signatures.
+     *
+     *      If the projection type is Dense:
+     *      Output.Dim == { Tensor[0].Dim[0] * Tensor[0].Dim[1] }
+     *      A flattened tensor that represents projected bit vectors.
+     * The offset value for sparse projections was added in HAL version 1.2.
+     */
+    LSH_PROJECTION = 15,
+    /**
+     * Performs a single time step in a Long Short-Term Memory (LSTM) layer
+     *
+     * The LSTM operation is described by the following equations.
+     *
+     * \f{eqnarray*}{
+     * i_t =& \sigma(W_{xi}x_t+W_{hi}h_{t-1}+W_{ci}C_{t-1}+b_i) & \\
+     * f_t =& \sigma(W_{xf}x_t+W_{hf}h_{t-1}+W_{cf}C_{t-1}+b_f) & \\
+     * C_t =& clip(f_t \odot C_{t-1} + i_t \odot
+     *        g(W_{xc}x_t+W_{hc}h_{t-1}+b_c),\ t_{cell}) & \\
+     * o_t =& \sigma(W_{xo}x_t+W_{ho}h_{t-1}+W_{co}C_t+b_o) & \\
+     *      & & \\
+     *      & clip(W_{proj}(o_t \odot g(C_t))+b_{proj},\ t_{proj})
+     *      & if\ there\ is\ a\ projection; \\
+     * h_t =& & \\
+     *      & o_t \odot g(C_t) & otherwise. \\
+     * \f}
+     * Where:
+     * * \f$x_t\f$ is the input,
+     * * \f$i_t\f$ is the input gate,
+     * * \f$f_t\f$ is the forget gate,
+     * * \f$C_t\f$ is the cell state,
+     * * \f$o_t\f$ is the output,
+     * * \f$h_t\f$ is the output state,
+     * * \f$\sigma\f$ is the logistic sigmoid function,
+     * * \f$g\f$ is the cell input and cell output activation function, usually
+     *   \f$tahn\f$,
+     * * \f$W_{xi}\f$ is the input-to-input weight matrix,
+     * * \f$W_{hi}\f$ is the recurrent to input weight matrix,
+     * * \f$W_{ci}\f$ is the cell-to-input weight matrix,
+     * * \f$b_i\f$ is the input gate bias,
+     * * \f$W_{xf}\f$ is the input-to-forget weight matrix,
+     * * \f$W_{hf}\f$ is the recurrent-to-forget weight matrix,
+     * * \f$W_{cf}\f$ is the cell-to-forget weight matrix,
+     * * \f$b_f\f$ is the forget gate bias,
+     * * \f$W_{xc}\f$ is the input-to-cell weight matrix,
+     * * \f$W_{hc}\f$ is the recurrent-to-cell weight matrix,
+     * * \f$b_c\f$ is the cell bias,
+     * * \f$W_{xo}\f$ is the input-to-output weight matrix,
+     * * \f$W_{ho}\f$ is the recurrent-to-output weight matrix,
+     * * \f$W_{co}\f$ is the cell-to-output weight matrix,
+     * * \f$b_o\f$ is the output gate bias,
+     * * \f$W_{proj}\f$ is the projection weight matrix,
+     * * \f$b_{proj}\f$ is the projection bias,
+     * * \f$t_{cell}\f$ is the threshold for clipping the cell state, and
+     * * \f$t_{proj}\f$ is the threshold for clipping the projected output.
+     * * \f$\odot\f$ is the
+     *   <a href="https://en.wikipedia.org/wiki/Hadamard_product_(matrices)">
+     *   Hadamard product</a> that takes two matrices and produces another
+     *   matrix, each element of which is the product of the corresponding
+     *   elements of the input matrices.
+     *
+     * Since HAL version 1.2 LSTM supports layer normalization.
+     * In case layer normalization is used, the inputs to internal activation
+     * functions (sigmoid and \f$g\f$) are normalized, rescaled and recentered
+     * following an approach from section 3.1 from
+     * https://arxiv.org/pdf/1607.06450.pdf
+     *
+     * The operation has the following independently optional inputs:
+     * * The cell-to-input weights (\f$W_{ci}\f$), cell-to-forget weights
+     *   (\f$W_{cf}\f$) and cell-to-output weights (\f$W_{co}\f$) either all
+     *   have values or neither of them have values (i.e., all set to null). If
+     *   they have values, the peephole optimization is used.
+     * * The input-to-input weights (\f$W_{xi}\f$), recurrent-to-input weights
+     *   (\f$W_{hi}\f$) and input gate bias (\f$b_i\f$) either all have values,
+     *   or none of them have values. If they have no values, coupling of input
+     *   and forget gates (CIFG) is used, in which case the input gate
+     *   (\f$i_t\f$) is calculated using the following equation instead.
+     *   \f{eqnarray*}{
+     *   i_t = 1 - f_t
+     *   \f}
+     *   In case peephole optimization is used and CIFG is not used
+     *   cell-to-input (\f$W_{ci}\f$) weights must be present. Otherwise, the
+     *   cell-to-input weights must have no value.
+     * * The projection weights (\f$W_{proj}\f$) is required only for the
+     *   recurrent projection layer, and should otherwise have no value.
+     * * The projection bias (\f$b_{proj}\f$) may (but not required to) have a
+     *   value if the recurrent projection layer exists, and should otherwise
+     *   have no value.
+     * * (HAL version 1.2 or later) The four layer normalization weights either all have
+     *   values or none of them have values. Additionally, if CIFG is used,
+     *   input layer normalization weights tensor is omitted and the other layer
+     *   normalization weights either all have values or none of them have
+     *   values. Layer normalization is used when the values of all the layer
+     *   normalization weights are present.
+     *
+     * References:
+     *
+     * The default non-peephole non-CIFG implementation is based on:
+     * http://www.bioinf.jku.at/publications/older/2604.pdf
+     * S. Hochreiter and J. Schmidhuber. "Long Short-Term Memory". Neural
+     * Computation, 9(8):1735-1780, 1997.
+     *
+     * The peephole implementation and projection layer is based on:
+     * https://research.google.com/pubs/archive/43905.pdf
+     * Hasim Sak, Andrew Senior, and Francoise Beaufays. "Long short-term memory
+     * recurrent neural network architectures for large scale acoustic
+     * modeling." INTERSPEECH, 2014.
+     * (However, the concept of peephole optimization was introduced in work
+     * prior to this paper.)
+     *
+     * The coupling of input and forget gate (CIFG) is based on:
+     * http://arxiv.org/pdf/1503.04069.pdf
+     * Greff et al. "LSTM: A Search Space Odyssey"
+     *
+     * The layer normalization is based on:
+     * https://arxiv.org/pdf/1607.06450.pdf
+     * Jimmy Ba et al. "Layer Normalization"
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * All input and output tensors must be of the same type.
+     *
+     * Inputs:
+     * * 0: The input (\f$x_t\f$).
+     *      A 2-D tensor of shape [batch_size, input_size], where “batch_size”
+     *      corresponds to the batching dimension, and “input_size” is the size
+     *      of the input.
+     * * 1: The input-to-input weights (\f$W_{xi}\f$). Optional.
+     *      A 2-D tensor of shape [num_units, input_size], where “num_units”
+     *      corresponds to the number of cell units.
+     * * 2: The input-to-forget weights (\f$W_{xf}\f$).
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 3: The input-to-cell weights (\f$W_{xc}\f$).
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 4: The input-to-output weights (\f$W_{xo}\f$).
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 5: The recurrent-to-input weights (\f$W_{hi}\f$). Optional.
+     *      A 2-D tensor of shape [num_units, output_size], where “output_size”
+     *      corresponds to either the number of cell units (i.e., “num_units”),
+     *      or the second dimension of the “projection_weights”, if defined.
+     * * 6: The recurrent-to-forget weights (\f$W_{hf}\f$).
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 7: The recurrent-to-cell weights (\f$W_{hc}\f$).
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 8: The recurrent-to-output weights (\f$W_{ho}\f$).
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 9: The cell-to-input weights (\f$W_{ci}\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 10:The cell-to-forget weights (\f$W_{cf}\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 11:The cell-to-output weights (\f$W_{co}\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 12:The input gate bias (\f$b_i\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 13:The forget gate bias (\f$b_f\f$).
+     *      A 1-D tensor of shape [num_units].
+     * * 14:The cell bias (\f$b_c\f$).
+     *      A 1-D tensor of shape [num_units].
+     * * 15:The output gate bias (\f$b_o\f$).
+     *      A 1-D tensor of shape [num_units].
+     * * 16:The projection weights (\f$W_{proj}\f$). Optional.
+     *      A 2-D tensor of shape [output_size, num_units].
+     * * 17:The projection bias (\f$b_{proj}\f$). Optional.
+     *      A 1-D tensor of shape [output_size].
+     * * 18:The output state (in) (\f$h_{t-1}\f$).
+     *      A 2-D tensor of shape [batch_size, output_size].
+     * * 19:The cell state (in) (\f$C_{t-1}\f$).
+     *      A 2-D tensor of shape [batch_size, num_units].
+     * * 20:The activation function (\f$g\f$).
+     *      A value indicating the activation function:
+     *      <ul>
+     *      <li>0: None;
+     *      <li>1: Relu;
+     *      <li>3: Relu6;
+     *      <li>4: Tanh;
+     *      <li>6: Sigmoid.
+     *      </ul>
+     * * 21:The clipping threshold (\f$t_{cell}\f$) for the cell state, such
+     *      that values are bound within [-cell_clip, cell_clip]. If set to 0.0
+     *      then clipping is disabled.
+     *      Until HAL version 1.2 this scalar must be of type {@link
+     *      OperandType::FLOAT32}. Since HAL version 1.2, if all the input
+     *      tensors have type {@link OperandType::TENSOR_FLOAT32}, this
+     *      scalar must be of the type {@link OperandType::FLOAT32},
+     *      otherwise if all the input tensors have the type {@link
+     *      OperandType::TENSOR_FLOAT16}, this scalar must be of type {@link
+     *      OperandType::FLOAT16}.
+     * * 22:The clipping threshold (\f$t_{proj}\f$) for the output from the
+     *      projection layer, such that values are bound within
+     *      [-proj_clip, proj_clip]. If set to 0.0 then clipping is disabled.
+     *      Until HAL version 1.2 this scalar must be of type {@link
+     *      OperandType::FLOAT32}. Since HAL version 1.2, if all the input
+     *      tensors have type {@link OperandType::TENSOR_FLOAT32}, this
+     *      scalar must be of the type {@link OperandType::FLOAT32},
+     *      otherwise if all the input tensors have the type {@link
+     *      OperandType::TENSOR_FLOAT16}, this scalar must be of type {@link
+     *      OperandType::FLOAT16}.
+     * Since HAL version 1.2 there are additional inputs to this op:
+     * * 23:The input layer normalization weights.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at input gate.
+     * * 24:The forget layer normalization weights.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at forget gate.
+     * * 25:The cell layer normalization weights.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at cell gate.
+     * * 26:The output layer normalization weights.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at output gate.
+     *
+     * Outputs:
+     * * 0: The scratch buffer.
+     *      A 2-D tensor of shape [batch_size, num_units * 3] with CIFG, or
+     *      [batch_size, num_units * 4] without CIFG.
+     * * 1: The output state (out) (\f$h_t\f$).
+     *      A 2-D tensor of shape [batch_size, output_size].
+     * * 2: The cell state (out) (\f$C_t\f$).
+     *      A 2-D tensor of shape [batch_size, num_units].
+     * * 3: The output (\f$o_t\f$).
+     *      A 2-D tensor of shape [batch_size, output_size]. This is effectively
+     *      the same as the current “output state (out)” value.
+     */
+    LSTM = 16,
+    /**
+     * Performs an 2-D max pooling operation.
+     *
+     * The output dimensions are functions of the filter dimensions, stride, and
+     * padding.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[b, i, j, channel] =
+     *         max_{di, dj} (
+     *             input[b, strides[1] * i + di, strides[2] * j + dj, channel]
+     *         )
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Both explicit padding and implicit padding are supported.
+     *
+     * Inputs (explicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the left, in the ‘width’ dimension.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the right, in the ‘width’ dimension.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the top, in the ‘height’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the bottom, in the ‘height’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the filter
+     *      width.
+     * * 8: An {@link OperandType::INT32} scalar, specifying the filter
+     *      height.
+     * * 9: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 10: An optional {@link OperandType::BOOL} scalar, default to false.
+     *       Set to true to specify NCHW data layout for input0 and output0.
+     *       Available since HAL version 1.2.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the implicit
+     *      padding scheme, has to be one of the
+     *      following values: {0 (NONE), 1 (SAME), 2 (VALID)}.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the filter
+     *      width.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the filter
+     *      height.
+     * * 6: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 7: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    MAX_POOL_2D = 17,
+    /**
+     * Multiplies two tensors, element-wise.
+     *
+     * Takes two input tensors of identical {@link OperandType} and compatible
+     * dimensions. The output is the product of both input tensors, optionally
+     * modified by an activation function.
+     *
+     * Two dimensions are compatible when:
+     *     1. they are equal, or
+     *     2. one of them is 1
+     *
+     * The size of the resulting output is the maximum size along each dimension
+     * of the input operands. It starts with the trailing dimensions, and works
+     * its way forward.
+     *
+     * Since HAL version 1.2, generic zero-sized input tensor is supported. Zero
+     * dimension is only compatible with 0 or 1. The size of the output
+     * dimension is zero if either of corresponding input dimension is zero.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType}, and compatible dimensions
+     *      as input0.
+     * * 2: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     *      For a {@link OperandType::TENSOR_INT32} tensor,
+     *      the {@link FusedActivationFunc} must be "NONE".
+     *
+     * Outputs:
+     * * 0: The product, a tensor of the same {@link OperandType} as input0.
+     *      For output tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the following condition must be satisfied:
+     *      output_scale > input1_scale * input2_scale.
+     */
+    MUL = 18,
+    /**
+     * Computes rectified linear activation on the input tensor element-wise.
+     *
+     * The output is calculated using this formula:
+     *
+     *     output = max(0, input)
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    RELU = 19,
+    /**
+     * Computes rectified linear 1 activation on the input tensor element-wise.
+     *
+     * The output is calculated using this formula:
+     *
+     *     output = min(1.f, max(-1.f, input))
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     *
+     * Outputs:
+     * * 0: The output tensor of the same shape as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    RELU1 = 20,
+    /**
+     * Computes rectified linear 6 activation on the input tensor element-wise.
+     *
+     * The output is calculated using this formula:
+     *
+     *     output = min(6, max(0, input))
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    RELU6 = 21,
+    /**
+     * Reshapes a tensor.
+     *
+     * Given tensor, this operation returns a tensor that has the same values as
+     * tensor, but with a newly specified shape.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the tensor to be reshaped.
+     * * 1: A 1-D tensor of {@link OperandType::TENSOR_INT32}, defining the
+     *      shape of the output tensor. The number of elements implied by shape
+     *      must be the same as the number of elements in the input tensor.
+     *
+     *      If one component of shape is the special value -1, the size of that
+     *      dimension is computed so that the total size remains constant. In
+     *      particular, a shape of [-1] flattens into 1-D. At most one component
+     *      of shape can be -1.
+     *
+     * Outputs:
+     * * 0: The output tensor, of shape specified by the input shape.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    RESHAPE = 22,
+    /**
+     * Resizes images to given size using the bilinear interpretation.
+     *
+     * Resized images must be distorted if their output aspect ratio is not the
+     * same as input aspect ratio. The corner pixels of output may not be the
+     * same as corner pixels of input.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Both resizing by shape and resizing by scale are supported.
+     *
+     * Inputs (resizing by shape):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     *      Since HAL version 1.2, zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the output
+     *      width of the output tensor.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the output
+     *      height of the output tensor.
+     * * 3: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
+     *
+     * Inputs (resizing by scale, since HAL version 1.2):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input. Zero batches is supported for this tensor.
+     * * 1: A scalar, specifying width_scale, the scaling factor of the width
+     *      dimension from the input tensor to the output tensor. The output
+     *      width is calculated as new_width = floor(width * width_scale).
+     *      The scalar must be of {@link OperandType::FLOAT16} if input0 is
+     *      of {@link OperandType::TENSOR_FLOAT16} and of
+     *      {@link OperandType::FLOAT32} otherwise.
+     * * 2: A scalar, specifying height_scale, the scaling factor of the height
+     *      dimension from the input tensor to the output tensor. The output
+     *      height is calculated as new_height = floor(height * height_scale).
+     *      The scalar must be of {@link OperandType::FLOAT16} if input0 is
+     *      of {@link OperandType::TENSOR_FLOAT16} and of
+     *      {@link OperandType::FLOAT32} otherwise.
+     * * 3: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, new_height, new_width, depth].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    RESIZE_BILINEAR = 23,
+    /**
+     * A basic recurrent neural network layer.
+     *
+     * This layer implements the operation:
+     * outputs = state = activation(inputs * input_weights +
+     *                              state * recurrent_weights + bias)
+     *
+     * Where:
+     * * “input_weights” is a weight matrix that multiplies the inputs;
+     * * “recurrent_weights” is a weight matrix that multiplies the current
+     *    “state” which itself is the output from the previous time step
+     *    computation;
+     * * “bias” is a bias vector (added to each output vector in the batch);
+     * * “activation” is the function passed as the “fused_activation_function”
+     *   argument (if not “NONE”).
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * The input tensors must all be the same type.
+     *
+     * Inputs:
+     * * 0: input.
+     *      A 2-D tensor of shape [batch_size, input_size], where “batch_size”
+     *      corresponds to the batching dimension, and “input_size” is the size
+     *      of the input.
+     * * 1: weights.
+     *      A 2-D tensor of shape [num_units, input_size], where “num_units”
+     *      corresponds to the number of units.
+     * * 2: recurrent_weights.
+     *      A 2-D tensor of shape [num_units, num_units], with columns
+     *      corresponding to the weights from each unit.
+     * * 3: bias.
+     *      A 1-D tensor of shape [num_units].
+     * * 4: hidden state (in).
+     *      A 2-D tensor of shape [batch_size, num_units].
+     * * 5: fused_activation_function.
+     *      An optional {@link FusedActivationFunc} value indicating the
+     *      activation function. If “NONE” is specified then it results in a
+     *      linear activation.
+     *
+     * Outputs:
+     * * 0: hidden state (out).
+     *      A 2-D tensor of shape [batch_size, num_units].
+     *
+     * * 1: output.
+     *      A 2-D tensor of shape [batch_size, num_units]. This is effectively
+     *      the same as the current state value.
+     */
+    RNN = 24,
+    /**
+     * Computes the softmax activation on the input tensor element-wise, per
+     * batch, by normalizing the input vector so the maximum coefficient is
+     * zero.
+     *
+     * The output is calculated using this formula:
+     *
+     *     output[batch, i] =
+     *         exp((input[batch, i] - max(input[batch, :])) * beta) /
+     *         sum_{k}{exp((input[batch, k] - max(input[batch, :])) * beta)}
+     *
+     * For input tensor with rank other than 2, the activation will be applied
+     * independently on each 1-D slice along specified dimension.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     * Tensors with rank other than 2 or 4 are only supported since HAL version 1.2.
+     *
+     * Inputs:
+     * * 0: A 2-D or 4-D tensor, specifying the tensor to be reshaped.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     * * 1: A scalar, specifying the positive scaling factor for the exponent,
+     *      beta. If input0 is of {@link OperandType::TENSOR_FLOAT32},
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, the scalar
+     *      must be of {@link OperandType::FLOAT32}.
+     *      If input0 is of {@link OperandType::TENSOR_FLOAT16}, then the
+     *      scalar must be of {@link OperandType::FLOAT16}.
+     * * 2: An optional {@link OperandType::INT32} scalar, default to -1,
+     *      specifying the dimension the activation would be performed on.
+     *      Negative index is used to specify axis from the end (e.g. -1 for
+     *      the last axis). Must be in the range [-n, n).
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the scale must be 1.f / 256 and the zeroPoint must be 0.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the scale must be 1.f / 256 and the zeroPoint must be -128.
+     */
+    SOFTMAX = 25,
+    /**
+     * Rearranges blocks of spatial data, into depth.
+     *
+     * More specifically, this op outputs a copy of the input tensor where
+     * values from the height and width dimensions are moved to the depth
+     * dimension. The value block_size indicates the input block size and how
+     * the data is moved.
+     *
+     * Chunks of data of size block_size * block_size from depth are rearranged
+     * into non-overlapping blocks of size block_size x block_size.
+     *
+     * The depth of the output tensor is input_depth * block_size * block_size.
+     * The input tensor's height and width must be divisible by block_size.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Inputs:
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the block_size.
+     *      block_size must be >=1 and block_size must be a divisor of both the
+     *      input height and width.
+     * * 2: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape [batches, height/block_size,
+     *      width/block_size, depth_in*block_size*block_size].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    SPACE_TO_DEPTH = 26,
+    /**
+     * SVDF op is a kind of stateful layer derived from the notion that a
+     * densely connected layer that's processing a sequence of input frames can
+     * be approximated by using a singular value decomposition of each of its
+     * nodes. The implementation is based on:
+     *
+     * https://research.google.com/pubs/archive/43813.pdf
+     *
+     * P. Nakkiran, R. Alvarez, R. Prabhavalkar, C. Parada.
+     * “Compressing Deep Neural Networks using a Rank-Constrained Topology”.
+     * INTERSPEECH, 2015.
+     *
+     * It processes the incoming input using a 2-stage filtering mechanism:
+     * * stage 1 performs filtering on the "features" dimension, whose outputs
+     *   get pushed into a memory of fixed-size memory_size.
+     * * stage 2 performs filtering on the "time" dimension of the memory_size
+     *   memoized outputs of stage 1.
+     *
+     * Specifically, for rank 1, this layer implements the operation:
+     *
+     *     memory = push(conv1d(inputs, weights_feature, feature_dim,
+     *                          "PADDING_VALID"));
+     *     outputs = activation(memory * weights_time + bias);
+     *
+     * Where:
+     * * “weights_feature” is a weights matrix that processes the inputs (by
+     *   convolving the input with every “feature filter”), and whose outputs
+     *   get pushed, stacked in order, into the fixed-size “memory” (the oldest
+     *   entry gets dropped);
+     * * “weights_time” is a weights matrix that processes the “memory” (by a
+     *   batched matrix multiplication on the num_units);
+     * * “bias” is an optional bias vector (added to each output vector in the
+     *   batch); and
+     * * “activation” is the function passed as the “fused_activation_function”
+     *   argument (if not “NONE”).
+     *
+     * Each rank adds a dimension to the weights matrices by means of stacking
+     * the filters.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * All input tensors must be the same type.
+     *
+     * Inputs:
+     * * 0: input.
+     *      A 2-D tensor of shape [batch_size, input_size], where “batch_size”
+     *      corresponds to the batching dimension, and “input_size” is the size
+     *      of the input.
+     * * 1: weights_feature.
+     *      A 2-D tensor of shape [num_units, input_size], where “num_units”
+     *      corresponds to the number of units.
+     * * 2: weights_time.
+     *      A 2-D tensor of shape [num_units, memory_size], where “memory_size”
+     *      corresponds to the fixed-size of the memory.
+     * * 3: bias.
+     *      An optional 1-D tensor of shape [num_units].
+     * * 4: state (in).
+     *      A 2-D tensor of shape [batch_size, (memory_size - 1) * num_units * rank].
+     * * 5: rank.
+     *      The rank of the SVD approximation.
+     * * 6: fused_activation_function.
+     *      An optional {@link FusedActivationFunc} value indicating the
+     *      activation function. If “NONE” is specified then it results in a
+     *      linear activation.
+     *
+     * Outputs:
+     * * 0: state (out).
+     *      A 2-D tensor of the same {@link OperandType} as the inputs, with shape
+     *      [batch_size, (memory_size - 1) * num_units * rank].
+     * * 1: output.
+     *      A 2-D tensor of the same {@link OperandType} as the inputs, with shape
+     *      [batch_size, num_units].
+     */
+    SVDF = 27,
+    /**
+     * Computes hyperbolic tangent of input tensor element-wise.
+     *
+     * The output is calculated using this formula:
+     *
+     *     output = tanh(input)
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the scale must be 1.f / 128 and the zeroPoint must be 128.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the scale must be 1.f / 128 and the zeroPoint must be 0.
+     */
+    TANH = 28,
+    /**
+     * BatchToSpace for N-dimensional tensors.
+     *
+     * This operation reshapes the batch dimension (dimension 0) into M + 1
+     * dimensions of shape block_shape + [batch], interleaves these blocks back
+     * into the grid defined by the spatial dimensions [1, ..., M], to obtain a
+     * result with the same rank as the input.
+     *
+     * This is the reverse of SpaceToBatch.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be reshaped
+     * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}, the block
+     *      sizes for each spatial dimension of the input tensor. All values
+     *      must be >= 1.
+     * * 2: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since API level 29.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    BATCH_TO_SPACE_ND = 29,
+    /**
+     * Element-wise division of two tensors.
+     *
+     * Takes two input tensors of identical {@link OperandType} and compatible
+     * dimensions. The output is the result of dividing the first input tensor
+     * by the second, optionally modified by an activation function.
+     *
+     * For inputs of {@link OperandType::TENSOR_INT32}, performs
+     * "floor division" ("//" in Python). For example,
+     *     5 // 2 = 2
+     *    -5 // 2 = -3
+     *
+     * Two dimensions are compatible when:
+     *     1. they are equal, or
+     *     2. one of them is 1
+     *
+     * The size of the output is the maximum size along each dimension of the
+     * input operands. It starts with the trailing dimensions, and works its way
+     * forward.
+     *
+     * Example:
+     *     input1.dimension =    {4, 1, 2}
+     *     input2.dimension = {5, 4, 3, 1}
+     *     output.dimension = {5, 4, 3, 2}
+     *
+     * Since HAL version 1.2, generic zero-sized input tensor is supported. Zero
+     * dimension is only compatible with 0 or 1. The size of the output
+     * dimension is zero if either of corresponding input dimension is zero.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the first input.
+     * * 1: A tensor of the same {@link OperandType}, and compatible dimensions
+     *      as input0.
+     * * 2: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     *      For a {@link OperandType::TENSOR_INT32} tensor,
+     *      the {@link FusedActivationFunc} must be "NONE".
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     */
+    DIV = 30,
+    /**
+     * Computes the mean of elements across dimensions of a tensor.
+     *
+     * Reduces the input tensor along the given dimensions to reduce. Unless
+     * keep_dims is true, the rank of the tensor is reduced by 1 for each entry
+     * in axis. If keep_dims is true, the reduced dimensions are retained with
+     * length 1.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}. The dimensions
+     *      to reduce. Must be in the range
+     *      [-rank(input_tensor), rank(input_tensor)).
+     *
+     *      NOTE: When the operation was introduced, the documentation
+     *      incorrectly stated that if dimensions were empty, the operation
+     *      would reduce across all dimensions. This behavior was never
+     *      implemented.
+     *
+     * * 2: An {@link OperandType::INT32} scalar, keep_dims. If positive,
+     *      retains reduced dimensions with length 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     *      If all dimensions are reduced and keep_dims is false, the output
+     *      shape is [1].
+     */
+    MEAN = 31,
+    /**
+     * Pads a tensor.
+     *
+     * This operation pads a tensor according to the specified paddings.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *   (full support since HAL version 1.2, see the output section)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be padded.
+     * * 1: A 2-D Tensor of {@link OperandType::TENSOR_INT32}, the paddings
+     *      for each spatial dimension of the input tensor. The shape of the
+     *      tensor must be {rank(input0), 2}.
+     *      padding[i, 0] specifies the number of elements to be padded in the
+     *      front of dimension i.
+     *      padding[i, 1] specifies the number of elements to be padded after the
+     *      end of dimension i.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0. The
+     *      output tensor has the same rank as input0, and each
+     *      dimension of the output tensor has the same size as the
+     *      corresponding dimension of the input tensor plus the size
+     *      of the padding:
+     *          output0.dimension[i] =
+     *              padding[i, 0] + input0.dimension[i] + padding[i, 1]
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     *
+     *      NOTE: Before HAL version 1.2, the pad value for
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} is undefined.
+     *      Since HAL version 1.2, the pad value is always the logical zero.
+     */
+    PAD = 32,
+    /**
+     * SpaceToBatch for N-Dimensional tensors.
+     *
+     * This operation divides "spatial" dimensions [1, ..., M] of the input into
+     * a grid of blocks of shape block_shape, and interleaves these blocks with
+     * the "batch" dimension (0) such that in the output, the spatial dimensions
+     * [1, ..., M] correspond to the position within the grid, and the batch
+     * dimension combines both the position within a spatial block and the
+     * original batch position. Prior to division into blocks, the spatial
+     * dimensions of the input are optionally zero padded according to paddings.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *   (full support since HAL version 1.2, see the output section)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     * NCHW is supported since HAL version 1.2.
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the input.
+     * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}, the block
+     *      sizes for each spatial dimension of the input tensor. All values
+     *      must be >= 1.
+     * * 2: A 2-D Tensor of {@link OperandType::TENSOR_INT32}, the paddings
+     *      for each spatial dimension of the input tensor. All values must be
+     *      >= 0. The shape of the tensor must be {M, 2}, where M is the number
+     *      of spatial dimensions.
+     *      padding[i, 0] specifies the number of element to be padded in the
+     *      front of dimension i.
+     *      padding[i, 1] specifies the number of element to be padded after the
+     *      end of dimension i.
+     * * 3: An optional {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     *      Available since HAL version 1.2.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     *
+     *      NOTE: Before HAL version 1.2, the pad value for
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} is undefined.
+     *      Since HAL version 1.2, the pad value is always the logical zero.
+     */
+    SPACE_TO_BATCH_ND = 33,
+    /**
+     * Removes dimensions of size 1 from the shape of a tensor.
+     *
+     * Given a tensor input, this operation returns a tensor of the same
+     * {@link OperandType} with all dimensions of size 1 removed. If you don't
+     * want to remove all size 1 dimensions, you can remove specific size 1
+     * dimensions by specifying the axes (input1).
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, the tensor to be squeezed.
+     * * 1: An optional 1-D tensor of {@link OperandType::TENSOR_INT32}. The
+     *      dimensions to squeeze. If specified only squeezes the dimensions
+     *      listed. Otherwise, squeezes all dimensions. The dimension index
+     *      starts at 0. An error must be reported if squeezing a dimension that
+     *      is not 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0. Contains the
+     *      same data as input, but has one or more dimensions of size 1
+     *      removed.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     *      If all input dimensions are equal to 1 and are to be squeezed, the
+     *      output shape is [1].
+     */
+    SQUEEZE = 34,
+    /**
+     * Extracts a strided slice of a tensor.
+     *
+     * Roughly speaking, this op extracts a slice of size (end - begin) / stride
+     * from the given input tensor. Starting at the location specified by begin
+     * the slice continues by adding stride to the index until all dimensions
+     * are not less than end. Note that a stride can be negative, which causes a
+     * reverse slice.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be sliced.
+     * * 1: begin, a 1-D tensor of {@link OperandType::TENSOR_INT32}. The
+     *      starts of the dimensions of the input tensor to be sliced. The
+     *      length must be of rank(input0).
+     * * 2: end, a 1-D tensor of {@link OperandType::TENSOR_INT32}. The
+     *      ends of the dimensions of the input tensor to be sliced. The length
+     *      must be of rank(input0).
+     * * 3: strides, a 1-D tensor of {@link OperandType::TENSOR_INT32}. The
+     *      strides of the dimensions of the input tensor to be sliced. The
+     *      length must be of rank(input0). The entries must be non-zero.
+     * * 4: begin_mask, an {@link OperandType::INT32} scalar. If the ith bit
+     *      of begin_mask is set, begin[i] is ignored and the fullest possible
+     *      range in that dimension is used instead.
+     * * 5: end_mask, an {@link OperandType::INT32} scalar. If the ith bit of
+     *      end_mask is set, end[i] is ignored and the fullest possible range in
+     *      that dimension is used instead.
+     * * 6: shrink_axis_mask, an {@link OperandType::INT32} scalar. If the
+     *      ith bit of shrink_axis_mask is set, the ith dimension specification
+     *      shrinks the dimensionality by 1, taking on the value at index
+     *      begin[i]. In this case, the ith specification must define a
+     *      slice of size 1, e.g. begin[i] = x, end[i] = x + 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0 and rank (n - k),
+     *      where k is the number of bits set in shrink_axis_mask.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     *      If shrink_axis_mask is true for all input dimensions, the output
+     *      shape is [1].
+     */
+    STRIDED_SLICE = 35,
+    /**
+     * Element-wise subtraction of two tensors.
+     *
+     * Takes two input tensors of identical {@link OperandType} and compatible
+     * dimensions. The output is the result of subtracting the second input
+     * tensor from the first one, optionally modified by an activation function.
+     *
+     * Two dimensions are compatible when:
+     *     1. they are equal, or
+     *     2. one of them is 1
+     *
+     * The size of the output is the maximum size along each dimension of the
+     * input operands. It starts with the trailing dimensions, and works its way
+     * forward.
+     *
+     * Example:
+     *     input1.dimension =    {4, 1, 2}
+     *     input2.dimension = {5, 4, 3, 1}
+     *     output.dimension = {5, 4, 3, 2}
+     *
+     * Since HAL version 1.2, generic zero-sized input tensor is supported. Zero
+     * dimension is only compatible with 0 or 1. The size of the output
+     * dimension is zero if either of corresponding input dimension is zero.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the first input.
+     * * 1: A tensor of the same {@link OperandType}, and compatible dimensions
+     *      as input0.
+     * * 2: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     *      For a {@link OperandType::TENSOR_INT32} tensor,
+     *      the {@link FusedActivationFunc} must be "NONE".
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
+     */
+    SUB = 36,
+    /**
+     * Transposes the input tensor, permuting the dimensions according to the
+     * perm tensor.
+     *
+     * The returned tensor's dimension i corresponds to the input dimension
+     * perm[i]. If perm is not given, it is set to (n-1...0), where n is the
+     * rank of the input tensor. Hence by default, this operation performs a
+     * regular matrix transpose on 2-D input Tensors.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be transposed.
+     *      Since HAL version 1.2, this tensor may be zero-sized.
+     * * 1: An optional 1-D Tensor of {@link OperandType::TENSOR_INT32},
+     *      the permutation of the dimensions of the input tensor.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    TRANSPOSE = 37,
+    /**
+     * Computes the absolute value of a tensor, element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    ABS = 38,
+    /**
+     * Returns the index of the largest element along an axis.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: An n-D tensor specifying the input. Must be non-empty.
+     * * 1: An {@link OperandType::INT32} scalar specifying the axis to
+     *      reduce across. Negative index is used to specify axis from the
+     *      end (e.g. -1 for the last axis). Must be in the range [-n, n).
+     *
+     * Outputs:
+     * * 0: An (n - 1)-D {@link OperandType::TENSOR_INT32} tensor.
+     *      If input is 1-dimensional, the output shape is [1].
+     */
+    ARGMAX = 39,
+    /**
+     * Returns the index of the smallest element along an axis.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: An n-D tensor specifying the input. Must be non-empty.
+     * * 1: An {@link OperandType::INT32} scalar specifying the axis to
+     *      reduce across. Negative index is used to specify axis from the
+     *      end (e.g. -1 for the last axis). Must be in the range [-n, n).
+     *
+     * Outputs:
+     * * 0: An (n - 1)-D {@link OperandType::TENSOR_INT32} tensor.
+     *      If input is 1-dimensional, the output shape is [1].
+     */
+    ARGMIN = 40,
+    /**
+     * Transform axis-aligned bounding box proposals using bounding box deltas.
+     *
+     * Given the positions of bounding box proposals and the corresponding
+     * bounding box deltas for each class, return the refined bounding box
+     * regions. The resulting bounding boxes are cliped against the edges of
+     * the image.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT16_ASYMM}
+     *
+     * Inputs:
+     * * 0: A 2-D Tensor of shape [num_rois, 4], specifying the locations of the
+     *      bounding box proposals, each line with format [x1, y1, x2, y2].
+     *      For tensor of type {@link OperandType::TENSOR_QUANT16_ASYMM},
+     *      the zeroPoint must be 0 and the scale must be 0.125. Zero num_rois
+     *      is supported for this tensor.
+     * * 1: A 2-D Tensor of shape [num_rois, num_classes * 4], specifying the
+     *      bounding box delta for each region of interest and each class. The
+     *      bounding box deltas are organized in the following order
+     *      [dx, dy, dw, dh], where dx and dy is the relative correction factor
+     *      for the center position of the bounding box with respect to the width
+     *      and height, dw and dh is the log-scale relative correction factor
+     *      for the width and height. For input0 of type
+     *      {@link OperandType::TENSOR_QUANT16_ASYMM}, this tensor should be
+     *      of {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}. Zero num_rois is
+     *      supported for this tensor.
+     * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [num_rois], specifying the batch index of each box. Boxes with
+     *      the same batch index are grouped together. Zero num_rois is
+     *      supported for this tensor.
+     * * 3: A 2-D Tensor of shape [batches, 2], specifying the information of
+     *      each image in the batch, each line with format
+     *      [image_height, image_width].
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0, with shape
+     *      [num_rois, num_classes * 4], specifying the coordinates of each
+     *      output bounding box for each class, with format [x1, y1, x2, y2].
+     *      For type of {@link OperandType::TENSOR_QUANT16_ASYMM}, the
+     *      scale must be 0.125 and the zero point must be 0.
+     */
+    AXIS_ALIGNED_BBOX_TRANSFORM = 41,
+    /**
+     * A recurrent neural network layer that applies an LSTM cell to a
+     * sequence of inputs in forward and backward directions.
+     *
+     * The op supports cross-linking via an auxiliary input. Regular cell feeds
+     * one input into the two RNN cells in the following way:
+     *
+     *       INPUT  (INPUT_REVERSED)
+     *         |         |
+     *    ---------------------
+     *    | FW_LSTM   BW_LSTM |
+     *    ---------------------
+     *         |         |
+     *      FW_OUT     BW_OUT
+     *
+     * An op with cross-linking takes two inputs and feeds them into the RNN
+     * cells in the following way:
+     *
+     *       AUX_INPUT   (AUX_INPUT_REVERSED)
+     *           |             |
+     *     INPUT | (INPUT_R'D.)|
+     *       |   |       |     |
+     *    -----------------------
+     *    |  \  /        \    / |
+     *    | FW_LSTM     BW_LSTM |
+     *    -----------------------
+     *         |           |
+     *      FW_OUT      BW_OUT
+     *
+     * The cross-linking mode is enabled iff auxiliary input and auxiliary
+     * weights are present. While stacking this op on top of itself, this
+     * allows to connect both forward and backward outputs from previous cell
+     * to the next cell's input.
+     *
+     * Since HAL version 1.3 parallel linking mode is supported. The mode is
+     * enabled if auxiliary input is present but auxiliary weights are omitted.
+     * In this case, the cell feeds inputs into the RNN in the following way:
+     *
+     *       INPUT (AUX_INPUT_REVERSED)
+     *         |         |
+     *    ---------------------
+     *    | FW_LSTM   BW_LSTM |
+     *    ---------------------
+     *         |         |
+     *      FW_OUT     BW_OUT
+     *
+     * While stacking this op on top of itself, this allows to connect both
+     * forward and backward outputs from previous cell to the next cell's
+     * corresponding inputs.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: 3, either time-major or batch-major.
+     *
+     * All input and output tensors must be of the same type.
+     *
+     * Inputs:
+     * * 0: The input.
+     *      A 3-D tensor of shape:
+     *        If time-major: [max_time, batch_size, input_size]
+     *        If batch-major: [batch_size, max_time, input_size]
+     *      where "max_time" is the number of timesteps (sequence length),
+     *      "batch_size" corresponds to the batching dimension, and
+     *      "input_size" is the size of the input.
+     * * 1: The forward input-to-input weights. Optional.
+     *      A 2-D tensor of shape [fw_num_units, input_size], where “fw_num_units”
+     *      corresponds to the number of forward cell units.
+     * * 2: The forward input-to-forget weights.
+     *      A 2-D tensor of shape [fw_num_units, input_size].
+     * * 3: The forward input-to-cell weights.
+     *      A 2-D tensor of shape [fw_num_units, input_size].
+     * * 4: The forward input-to-output weights.
+     *      A 2-D tensor of shape [fw_num_units, input_size].
+     * * 5: The forward recurrent-to-input weights. Optional.
+     *      A 2-D tensor of shape [fw_num_units, fw_output_size], where “fw_output_size”
+     *      corresponds to either the number of cell units (i.e., fw_num_units),
+     *      or the second dimension of the “fw_projection_weights”, if defined.
+     * * 6: The forward recurrent-to-forget weights.
+     *      A 2-D tensor of shape [fw_num_units, fw_output_size].
+     * * 7: The forward recurrent-to-cell weights.
+     *      A 2-D tensor of shape [fw_num_units, fw_output_size].
+     * * 8: The forward recurrent-to-output weights.
+     *      A 2-D tensor of shape [fw_num_units, fw_output_size].
+     * * 9: The forward cell-to-input weights. Optional.
+     *      A 1-D tensor of shape [fw_num_units].
+     * * 10: The forward cell-to-forget weights. Optional.
+     *       A 1-D tensor of shape [fw_num_units].
+     * * 11: The forward cell-to-output weights. Optional.
+     *       A 1-D tensor of shape [fw_num_units].
+     * * 12: The forward input gate bias. Optional.
+     *       A 1-D tensor of shape [fw_num_units].
+     * * 13: The forward forget gate bias.
+     *       A 1-D tensor of shape [fw_num_units].
+     * * 14: The forward cell gate bias.
+     *       A 1-D tensor of shape [fw_num_units].
+     * * 15: The forward output gate bias.
+     *       A 1-D tensor of shape [fw_num_units].
+     * * 16: The forward projection weights. Optional.
+     *       A 2-D tensor of shape [fw_output_size, fw_num_units].
+     * * 17: The forward projection bias. Optional.
+     *       A 1-D tensor of shape [fw_output_size].
+     * * 18: The backward input-to-input weights. Optional.
+     *       A 2-D tensor of shape [bw_num_units, input_size], where “bw_num_units”
+     *       corresponds to the number of backward cell units.
+     * * 19: The backward input-to-forget weights.
+     *       A 2-D tensor of shape [bw_num_units, input_size].
+     * * 20: The backward input-to-cell weights.
+     *       A 2-D tensor of shape [bw_num_units, input_size].
+     * * 21: The backward input-to-output weights.
+     *       A 2-D tensor of shape [bw_num_units, input_size].
+     * * 22: The backward recurrent-to-input weights. Optional.
+     *       A 2-D tensor of shape [bw_num_units, bw_output_size], where “bw_output_size”
+     *       corresponds to either the number of cell units (i.e., “bw_num_units”),
+     *       or the second dimension of the “bw_projection_weights”, if defined.
+     * * 23: The backward recurrent-to-forget weights.
+     *       A 2-D tensor of shape [bw_num_units, bw_output_size].
+     * * 24: The backward recurrent-to-cell weights.
+     *       A 2-D tensor of shape [bw_num_units, bw_output_size].
+     * * 25: The backward recurrent-to-output weights.
+     *       A 2-D tensor of shape [bw_num_units, bw_output_size].
+     * * 26: The backward cell-to-input weights. Optional.
+     *       A 1-D tensor of shape [bw_num_units].
+     * * 27: The backward cell-to-forget weights. Optional.
+     *       A 1-D tensor of shape [bw_num_units].
+     * * 28: The backward cell-to-output weights. Optional.
+     *       A 1-D tensor of shape [bw_num_units].
+     * * 29: The backward input gate bias. Optional.
+     *       A 1-D tensor of shape [bw_num_units].
+     * * 30: The backward forget gate bias.
+     *       A 1-D tensor of shape [bw_num_units].
+     * * 31: The backward cell gate bias.
+     *       A 1-D tensor of shape [bw_num_units].
+     * * 32: The backward output gate bias.
+     *       A 1-D tensor of shape [bw_num_units].
+     * * 33: The backward projection weights. Optional.
+     *       A 2-D tensor of shape [bw_output_size, bw_num_units].
+     * * 34: The backward projection bias. Optional.
+     *       A 1-D tensor of shape [bw_output_size].
+     * * 35: The forward input activation state.
+     *       A 2-D tensor of shape [batch_size, bw_output_size].
+     * * 36: The forward input cell state.
+     *       A 2-D tensor of shape [batch_size, bw_num_units].
+     * * 37: The backward input activation state.
+     *       A 2-D tensor of shape [batch_size, bw_output_size].
+     * * 38: The backward input cell state.
+     *       A 2-D tensor of shape [batch_size, bw_num_units].
+     * * 39: The auxiliary input. Optional.
+     *       A 3-D tensor of shape [max_time, batch_size, aux_input_size],
+     *       where “batch_size” corresponds to the batching dimension, and
+     *       “aux_input_size” is the size of the auxiliary input. Optional. See
+     *       the docs above for the usage modes explanation.
+     * * 40: The forward auxiliary input-to-input weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [fw_num_units, aux_input_size].
+     * * 41: The forward auxiliary input-to-forget weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [fw_num_units, aux_input_size].
+     * * 42: The forward auxiliary input-to-cell weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [fw_num_units, aux_input_size].
+     * * 43: The forward auxiliary input-to-output weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [fw_num_units, aux_input_size].
+     * * 44: The backward auxiliary input-to-input weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [bw_num_units, aux_input_size].
+     * * 45: The backward auxiliary input-to-forget weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [bw_num_units, aux_input_size].
+     * * 46: The backward auxiliary input-to-cell weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [bw_num_units, aux_input_size].
+     * * 47: The backward auxiliary input-to-output weights.
+     *       Optional. See the docs above for the usage modes explanation.
+     *       A 2-D tensor of shape [bw_num_units, aux_input_size].
+     * * 48: The activation function.
+     *       A value indicating the activation function:
+     *       <ul>
+     *       <li>0: None;
+     *       <li>1: Relu;
+     *       <li>3: Relu6;
+     *       <li>4: Tanh;
+     *       <li>6: Sigmoid.
+     *       </ul>
+     * * 49: The clipping threshold for the cell state, such
+     *       that values are bound within [-cell_clip, cell_clip]. If set to 0.0
+     *       then clipping is disabled.
+     *       If all the input tensors have type {@link OperandType::TENSOR_FLOAT32},
+     *       this scalar must be of the type {@link OperandType::FLOAT32},
+     *       otherwise if all the input tensors have the type
+     *       {@link OperandType::TENSOR_FLOAT16}, this scalar must be
+     *       of type {@link OperandType::FLOAT16}.
+     * * 50: The clipping threshold for the output from the
+     *       projection layer, such that values are bound within
+     *       [-proj_clip, proj_clip]. If set to 0.0 then clipping is disabled.
+     *       If all the input tensors have type {@link OperandType::TENSOR_FLOAT32},
+     *       this scalar must be of the type {@link OperandType::FLOAT32},
+     *       otherwise if all the input tensors have the type
+     *       {@link OperandType::TENSOR_FLOAT16}, this scalar must be
+     *       of type {@link OperandType::FLOAT16}.
+     * * 51: merge_outputs
+     *       An {@link OperandType::BOOL} scalar specifying if the outputs
+     *       from forward and backward cells should be merged.
+     * * 52: time_major
+     *       An {@link OperandType::BOOL} scalar specifying the shape format
+     *       of input and output tensors.
+     * * 53: The forward input layer normalization weights. Optional.
+     *       A 1-D tensor of shape [fw_num_units]. Used to rescale normalized inputs
+     *       to activation at input gate.
+     * * 54: The forward forget layer normalization weights. Optional.
+     *       A 1-D tensor of shape [fw_num_units]. Used to rescale normalized inputs
+     *       to activation at forget gate.
+     * * 55: The forward cell layer normalization weights. Optional.
+     *       A 1-D tensor of shape [fw_num_units]. Used to rescale normalized inputs
+     *       to activation at cell gate.
+     * * 56: The forward output layer normalization weights. Optional.
+     *       A 1-D tensor of shape [fw_num_units]. Used to rescale normalized inputs
+     *       to activation at output gate.
+     * * 57: The backward input layer normalization weights. Optional.
+     *       A 1-D tensor of shape [bw_num_units]. Used to rescale normalized inputs
+     *       to activation at input gate.
+     * * 58: The backward forget layer normalization weights. Optional.
+     *       A 1-D tensor of shape [bw_num_units]. Used to rescale normalized inputs
+     *       to activation at forget gate.
+     * * 59: The backward cell layer normalization weights. Optional.
+     *       A 1-D tensor of shape [bw_num_units]. Used to rescale normalized inputs
+     *       to activation at cell gate.
+     * * 60: The backward output layer normalization weights. Optional.
+     *       A 1-D tensor of shape [bw_num_units]. Used to rescale normalized inputs
+     *       to activation at output gate.
+     *
+     * Outputs:
+     * * 0: The forward output.
+     *      A 3-D tensor of shape:
+     *        If time-major and not merge_outputs:
+     *          [max_time, batch_size, fw_output_size]
+     *        If time-major and merge_outputs:
+     *          [max_time, batch_size, fw_output_size + bw_output_size]
+     *        If batch-major and not merge_outputs:
+     *          [batch_size, max_time, fw_output_size]
+     *        If batch-major and merge_outputs:
+     *          [batch_size, max_time, fw_output_size + bw_output_size]
+     * * 1: The backward output.  Unused if merge_outputs is true.
+     *      A 3-D tensor of shape:
+     *        If time-major: [max_time, batch_size, bw_output_size]
+     *        If batch-major: [batch_size, max_time, bw_output_size]
+     * * 2: The forward activation state output.
+     *      A 2-D tensor of shape [batch_size, fw_output_size] containing an
+     *      activation state from the last time step in the sequence. This
+     *      output is optional and can be omitted. If this output is present
+     *      then outputs 3-5 must be present as well.
+     *      Available since HAL version 1.3.
+     * * 3: The forward cell state output.
+     *      A tensor of shape [batch_size, fw_cell_size] containing a cell state
+     *      from the last time step in the sequence. This output is optional
+     *      and can be omitted. If this output is present
+     *      then outputs 2, 4, 5 must be present as well.
+     *      Available since HAL version 1.3.
+     * * 4: The backward activation state output.
+     *      A 2-D tensor of shape [batch_size, bw_output_size] containing an
+     *      activation state from the last time step in the sequence. This
+     *      output is optional and can be omitted. If this output is present
+     *      then outputs 2, 3, 5 must be present as well.
+     *      Available since HAL version 1.3.
+     * * 5: The backward cell state output.
+     *      A tensor of shape [batch_size, bw_cell_size] containing a cell state
+     *      from the last time step in the sequence. This output is optional
+     *      and can be omitted. If this output is present
+     *      then outputs 2-4 must be present as well.
+     *      Available since HAL version 1.3.
+     */
+    BIDIRECTIONAL_SEQUENCE_LSTM = 42,
+    /**
+     * A recurrent neural network layer that applies a basic RNN cell to a
+     * sequence of inputs in forward and backward directions.
+     *
+     * This Op unrolls the input along the sequence dimension, and implements
+     * the following operation for each element in the sequence s =
+     * 1...sequence_length:
+     *   fw_outputs[s] = fw_state = activation(inputs[s] * fw_input_weights’ +
+     *          fw_state * fw_recurrent_weights’ + fw_bias)
+     *
+     * And for each element in sequence t = sequence_length : 1
+     *   bw_outputs[t] = bw_state = activation(inputs[t] * bw_input_weights’ +
+     *          bw_state * bw_recurrent_weights’ + bw_bias)
+     *
+     * Where:
+     * * “{fw,bw}_input_weights” is a weight matrix that multiplies the inputs;
+     * * “{fw,bw}_recurrent_weights” is a weight matrix that multiplies the
+     *    current “state” which itself is the output from the previous time step
+     *    computation;
+     * * “{fw,bw}_bias” is a bias vector (added to each output vector in the
+     *    batch);
+     * * “activation” is the function passed as the “fused_activation_function”
+     *   argument (if not “NONE”).
+     *
+     * The op supports cross-linking via an auxiliary input. Regular cell feeds
+     * one input into the two RNN cells in the following way:
+     *
+     *       INPUT  (INPUT_REVERSED)
+     *         |         |
+     *    ---------------------
+     *    | FW_RNN     BW_RNN |
+     *    ---------------------
+     *         |         |
+     *      FW_OUT     BW_OUT
+     *
+     * An op with cross-linking takes two inputs and feeds them into the RNN
+     * cells in the following way:
+     *
+     *       AUX_INPUT   (AUX_INPUT_REVERSED)
+     *           |             |
+     *     INPUT | (INPUT_R'D.)|
+     *       |   |       |     |
+     *    -----------------------
+     *    |  \  /        \    / |
+     *    | FW_RNN       BW_RNN |
+     *    -----------------------
+     *         |           |
+     *      FW_OUT      BW_OUT
+     *
+     * The cross-linking mode is enabled iff auxiliary input and auxiliary
+     * weights are present. While stacking this op on top of itself, this
+     * allows to connect both forward and backward outputs from previous cell
+     * to the next cell's input.
+     *
+     * Since HAL version 1.3 parallel linking mode is supported. The mode is
+     * enabled if auxiliary input is present but auxiliary weights are omitted.
+     * In this case, the cell feeds inputs into the RNN in the following way:
+     *
+     *       INPUT (AUX_INPUT_REVERSED)
+     *         |         |
+     *    ---------------------
+     *    | FW_RNN     BW_RNN |
+     *    ---------------------
+     *         |         |
+     *      FW_OUT     BW_OUT
+     *
+     * While stacking this op on top of itself, this allows to connect both
+     * forward and backward outputs from previous cell to the next cell's
+     * corresponding inputs.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * The input tensors must all be the same type.
+     *
+     * Inputs:
+     * * 0: input.
+     *      A 3-D tensor. The shape is defined by the input 6 (timeMajor). If
+     *      it is set to true, then the input has a shape [maxTime, batchSize,
+     *      inputSize], otherwise the input has a shape [batchSize, maxTime,
+     *      inputSize].
+     * * 1: fwWeights.
+     *      A 2-D tensor of shape [fwNumUnits, inputSize].
+     * * 2: fwRecurrentWeights.
+     *      A 2-D tensor of shape [fwNumUnits, fwNumUnits].
+     * * 3: fwBias.
+     *      A 1-D tensor of shape [fwNumUnits].
+     * * 4: fwHiddenState.
+     *      A 2-D tensor of shape [batchSize, fwNumUnits]. Specifies a hidden
+     *      state input for the first time step of the computation.
+     * * 5: bwWeights.
+     *      A 2-D tensor of shape [bwNumUnits, inputSize].
+     * * 6: bwRecurrentWeights.
+     *      A 2-D tensor of shape [bwNumUnits, bwNumUnits].
+     * * 7: bwBias.
+     *      A 1-D tensor of shape [bwNumUnits].
+     * * 8: bwHiddenState
+     *      A 2-D tensor of shape [batchSize, bwNumUnits]. Specifies a hidden
+     *      state input for the first time step of the computation.
+     * * 9: auxInput.
+     *      A 3-D tensor. The shape is defined by the input 6 (timeMajor). If
+     *      it is set to true, then the input has a shape [maxTime, batchSize,
+     *      auxInputSize], otherwise the input has a shape [batchSize, maxTime,
+     *      auxInputSize]. Can be omitted. See the docs above for the usage
+     *      modes explanation.
+     * * 10:fwAuxWeights.
+     *      A 2-D tensor of shape [fwNumUnits, auxInputSize]. Can be omitted.
+     *      See the docs above for the usage modes explanation.
+     * * 11:bwAuxWeights.
+     *      A 2-D tensor of shape [bwNumUnits, auxInputSize]. Can be omitted.
+     *      See the docs above for the usage modes explanation.
+     * * 12:fusedActivationFunction.
+     *      A {@link FusedActivationFunc} value indicating the activation function. If
+     *      “NONE” is specified then it results in a linear activation.
+     * * 13:timeMajor
+     *      An {@link OperandType::BOOL} scalar specifying the shape format
+     *      of input and output tensors.
+     * * 14:mergeOutputs
+     *      An {@link OperandType::BOOL} scalar specifying if the outputs
+     *      from forward and backward cells are separate (if set to false) or
+     *      concatenated (if set to true).
+     * Outputs:
+     * * 0: fwOutput.
+     *      A 3-D tensor. The first two dimensions of the shape are defined by
+     *      the input 6 (timeMajor) and the third dimension is defined by the
+     *      input 14 (mergeOutputs). If timeMajor is set to true, then the first
+     *      two dimensions are [maxTime, batchSize], otherwise they are set to
+     *      [batchSize, maxTime]. If mergeOutputs is set to true, then the third
+     *      dimension is equal to (fwNumUnits + bwNumUnits), otherwise it is set
+     *      to fwNumUnits.
+     * * 1: bwOutput.
+     *      A 3-D tensor. If the input 14 (mergeOutputs) is set to true, then
+     *      this tensor is not produced. The shape is defined by the input 6
+     *      (timeMajor). If it is set to true, then the shape is set to
+     *      [maxTime, batchSize, bwNumUnits], otherwise the shape is set to
+     *      [batchSize, maxTime, bwNumUnits].
+     * * 2: The forward hidden state output.
+     *      A 2-D tensor of shape [batchSize, fwNumUnits] containing a hidden
+     *      state from the last time step in the sequence. This output is
+     *      optional and can be omitted. If this output is present then output
+     *      3 must be present as well.
+     *      Available since HAL version 1.3.
+     * * 3: The backward hidden state output.
+     *      A 2-D tensor of shape [batchSize, bwNumUnits] containing a hidden
+     *      state from the last time step in the sequence. This output is
+     *      optional and can be omitted. If this output is present then output
+     *      2 must be present as well.
+     *      Available since HAL version 1.3.
+     */
+    BIDIRECTIONAL_SEQUENCE_RNN = 43,
+    /**
+     * Greedily selects a subset of bounding boxes in descending order of score.
+     *
+     * This op applies NMS algorithm to each class. In each loop of execution,
+     * the box with maximum score gets selected and removed from the pending set.
+     * The scores of the rest of boxes are lowered according to the
+     * intersection-over-union (IOU) overlapping with the previously selected
+     * boxes and a specified NMS kernel method. Any boxes with score less
+     * than a threshold are removed from the pending set.
+     *
+     * Three NMS kernels are supported:
+     * * Hard:     score_new = score_old * (1 if IoU < threshold else 0)
+     * * Linear:   score_new = score_old * (1 if IoU < threshold else 1 - IoU)
+     * * Gaussian: score_new = score_old * exp(- IoU^2 / sigma)
+     *
+     * Axis-aligned bounding boxes are represented by its upper-left corner
+     * coordinate (x1,y1) and lower-right corner coordinate (x2,y2). A valid
+     * bounding box should satisfy x1 <= x2 and y1 <= y2.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Inputs:
+     * * 0: A 2-D Tensor of shape [num_rois, num_classes], specifying the score
+     *      of each bounding box proposal. The boxes are grouped by batches in the
+     *      first dimension. Zero num_rois is supported for this tensor.
+     * * 1: A 2-D Tensor specifying the bounding boxes of shape
+     *      [num_rois, num_classes * 4], organized in the order [x1, y1, x2, y2].
+     *      The boxes are grouped by batches in the first dimension. The sequential
+     *      order of the boxes corresponds with input0. For input0 of type
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, this tensor should be of
+     *      {@link OperandType::TENSOR_QUANT16_ASYMM}, with zeroPoint of 0 and
+     *      scale of 0.125.
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      this tensor should be of {@link OperandType::TENSOR_QUANT16_ASYMM},
+     *      with zeroPoint of -128 and scale of 0.125.
+     *      Zero num_rois is supported for this tensor.
+     * * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [num_rois], specifying the batch index of each box. Boxes with
+     *      the same batch index are grouped together.
+     * * 3: An {@link OperandType::FLOAT32} scalar, score_threshold. Boxes
+     *      with scores lower than the threshold are filtered before sending
+     *      to the NMS algorithm.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the maximum
+     *      number of selected bounding boxes for each image. Set to a negative
+     *      value for unlimited number of output bounding boxes.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the NMS
+     *      kernel method, options are 0:hard, 1:linear, 2:gaussian.
+     * * 6: An {@link OperandType::FLOAT32} scalar, specifying the IoU
+     *      threshold in hard and linear NMS kernel. This field is ignored if
+     *      gaussian kernel is selected.
+     * * 7: An {@link OperandType::FLOAT32} scalar, specifying the sigma in
+     *      gaussian NMS kernel. This field is ignored if gaussian kernel is
+     *      not selected.
+     * * 8: An {@link OperandType::FLOAT32} scalar, nms_score_threshold.
+     *      Boxes with scores lower than the threshold are dropped during the
+     *      score updating phase in soft NMS.
+     *
+     * Outputs:
+     * * 0: A 1-D Tensor of the same {@link OperandType} as input0, with shape
+     *      [num_output_rois], specifying the score of each output box. The boxes
+     *      are grouped by batches, but the sequential order in each batch is not
+     *      guaranteed. For type of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      guaranteed. For type of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      or {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the scale and zero point must be the same as input0.
+     * * 1: A 2-D Tensor of the same {@link OperandType} as input1, with shape
+     *      [num_output_rois, 4], specifying the coordinates of each
+     *      output bounding box with the same format as input1. The sequential
+     *      order of the boxes corresponds with output0. For type of
+     *      {@link OperandType::TENSOR_QUANT16_ASYMM}, the scale must be
+     *      0.125 and the zero point must be 0.
+     * * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [num_output_rois], specifying the class of each output box. The
+     *      sequential order of the boxes corresponds with output0.
+     * * 3: A 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [num_output_rois], specifying the batch index of each box. Boxes
+     *      with the same batch index are grouped together.
+     */
+    BOX_WITH_NMS_LIMIT = 44,
+    /**
+     * Casts a tensor to a type.
+     *
+     * This operation ignores the scale and zeroPoint of quanized tensors,
+     * e.g. it treats a {@link OperandType::TENSOR_QUANT8_ASYMM} input
+     * as a tensor of uint8 values.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * Since HAL version 1.3, casting tensors of the following
+     * {@link OperandType} to the same {@link OperandType} is supported:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT16_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT16_SYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     * * {@link OperandType::TENSOR_QUANT8_SYMM}
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: A tensor with the same shape as input0.
+     */
+    CAST = 45,
+    /**
+     * Shuffle the channels of the input tensor.
+     *
+     * Given an input tensor and a integer value of num_groups, CHANNEL_SHUFFLE
+     * divide the channel dimension into num_groups groups, and reorganize the
+     * channels by grouping channels with the same index in each group.
+     *
+     * Along the channel dimension, the output is calculated using this formula:
+     *
+     *     output_channel[k * num_groups + g] = input_channel[g * group_size + k]
+     *
+     * where group_size = num_channels / num_groups
+     *
+     * The number of channels must be divisible by num_groups.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be shuffled.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the number of
+     *      groups.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the dimension
+     *      channel shuffle would be performed on. Negative index is used to
+     *      specify axis from the end (e.g. -1 for the last axis). Must be in
+     *      the range [-n, n).
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} and same shape as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    CHANNEL_SHUFFLE = 46,
+    /**
+     * Apply postprocessing steps to bounding box detections.
+     *
+     * Bounding box detections are generated by applying transformation on a set
+     * of predefined anchors with the bounding box deltas from bounding box
+     * regression. A final step of hard NMS is applied to limit the number of
+     * returned boxes.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Inputs:
+     * * 0: A 3-D Tensor of shape [batches, num_anchors, num_classes], specifying
+     *      the score of each anchor with each class. Class 0 for each
+     *      [batches, num_anchors, 0] is background and will be ignored.
+     * * 1: A 3-D Tensor of shape [batches, num_anchors, length_box_encoding], with
+     *      the first four values in length_box_encoding specifying the bounding
+     *      box deltas. The box deltas are encoded in the order of [dy, dx, dh, dw],
+     *      where dy and dx is the linear-scale relative correction factor for the
+     *      center position of the bounding box with respect to the width and height,
+     *      dh and dw is the log-scale relative correction factor for the width and
+     *      height. All the entries in length_box_encoding beyond the first four
+     *      values are ignored in this operation.
+     * * 2: A 2-D Tensor of shape [num_anchors, 4], specifying the shape of each
+     *      predefined anchor, with format [ctr_y, ctr_x, h, w], where ctr_y and
+     *      ctr_x are the center position of the box, and h and w are the height
+     *      and the width.
+     * * 3: An {@link OperandType::FLOAT32} scalar, specifying the scaling
+     *      factor for dy in bounding box deltas.
+     * * 4: An {@link OperandType::FLOAT32} scalar, specifying the scaling
+     *      factor for dx in bounding box deltas.
+     * * 5: An {@link OperandType::FLOAT32} scalar, specifying the scaling
+     *      factor for dh in bounding box deltas.
+     * * 6: An {@link OperandType::FLOAT32} scalar, specifying the scaling
+     *      factor for dw in bounding box deltas.
+     * * 7: An {@link OperandType::BOOL} scalar, set to true to use regular
+     *      multi-class NMS algorithm that do NMS separately for each class,
+     *      set to false for a faster algorithm that only do one single NMS
+     *      using the highest class score..
+     * * 8: An {@link OperandType::INT32} scalar, max_num_detections, specifying
+     *      the maximum number of boxes for the output. Boxes with the lowest
+     *      scores are discarded to meet the limit.
+     * * 9: An {@link OperandType::INT32} scalar, only used when input7 is
+     *      set to false, specifying the maximum number of classes per detection.
+     * * 10: An {@link OperandType::INT32} scalar, only used when input7 is
+     *       set to true, specifying the maximum number of detections when
+     *       applying NMS algorithm for each single class.
+     * * 11: A scalar, score_threshold. Boxes with scores lower than the
+     *       threshold are filtered before sending to the NMS algorithm. The
+     *       scalar must be of {@link OperandType::FLOAT16} if input0 is of
+     *       {@link OperandType::TENSOR_FLOAT16} and of
+     *       {@link OperandType::FLOAT32} if input0 is of
+     *       {@link OperandType::TENSOR_FLOAT32}.
+     * * 12: A scalar, specifying the IoU threshold for hard NMS. The scalar
+     *       must be of {@link OperandType::FLOAT16} if input0 is of
+     *       {@link OperandType::TENSOR_FLOAT16} and of
+     *       {@link OperandType::FLOAT32} if input0 is of
+     *       {@link OperandType::TENSOR_FLOAT32}.
+     * * 13: An {@link OperandType::BOOL} scalar, set to true to include
+     *       background class in the list of label map for the output, set
+     *       to false to not include the background. When the background
+     *       class is included, it has label 0 and the output classes start
+     *       at 1 in the label map, otherwise, the output classes start at 0.
+     *
+     * Outputs:
+     * * 0: A 2-D tensor of the same {@link OperandType} as input0, with shape
+     *      [batches, max_num_detections], specifying the score of each output
+     *      detections.
+     * * 1: A 3-D tensor of shape [batches, max_num_detections, 4], specifying the
+     *      coordinates of each output bounding box, with format
+     *      [y1, x1, y2, x2].
+     * * 2: A 2-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [batches, max_num_detections], specifying the class label for each
+     *      output detection.
+     * * 3: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape [batches],
+     *      specifying the number of valid output detections for each batch.
+     */
+    DETECTION_POSTPROCESSING = 47,
+    /**
+     * For input tensors x and y, computes x == y elementwise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and dimensions compatible
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    EQUAL = 48,
+    /**
+     * Computes exponential of x element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    EXP = 49,
+    /**
+     * Inserts a dimension of 1 into a tensor's shape.
+     *
+     * Given a tensor input, this operation inserts a dimension of 1 at the
+     * given dimension index of input's shape. The dimension index starts at
+     * zero; if you specify a negative dimension index, it is counted backward
+     * from the end.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: An n-D tensor.
+     * * 1: An {@link OperandType::INT32} scalar specifying the dimension
+     *      index to expand. Must be in the range [-(n + 1), (n + 1)).
+     *
+     * Outputs:
+     * * 0: An (n + 1)-D tensor with the same {@link OperandType} and data as
+     *      input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    EXPAND_DIMS = 50,
+    /**
+     * Gathers values along an axis.
+     *
+     * Produces an output tensor with shape
+     *     input0.dimension[:axis] + indices.dimension + input0.dimension[axis + 1:]
+     * where:
+     *     # Vector indices (output is rank(input0)).
+     *     output[a_0, ..., a_n, i, b_0, ..., b_n] =
+     *       input0[a_0, ..., a_n, indices[i], b_0, ..., b_n]
+     *
+     *     # Higher rank indices (output is rank(input0) + rank(indices) - 1).
+     *     output[a_0, ..., a_n, i, ..., j, b_0, ... b_n] =
+     *       input0[a_0, ..., a_n, indices[i, ..., j], b_0, ..., b_n]
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: An n-D tensor from which to gather values.
+     * * 1: An {@link OperandType::INT32} scalar specifying the axis.
+     *      Negative index is used to specify axis from the end
+     *      (e.g. -1 for the last axis). Must be in the range [-n, n).
+     * * 2: A k-D tensor {@link OperandType::TENSOR_INT32} of indices.
+     *      The values must be in the bounds of the corresponding dimensions
+     *      of input0.
+     *
+     * Outputs:
+     * * 0: An (n + k - 1)-D tensor with the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    GATHER = 51,
+    /**
+     * Generate aixs-aligned bounding box proposals.
+     *
+     * Bounding box proposals are generated by applying transformation on a set
+     * of predefined anchors with the bounding box deltas from bounding box
+     * regression. A final step of hard NMS is applied to limit the number of
+     * returned boxes.
+     *
+     * Axis-aligned bounding boxes are represented by its upper-left corner
+     * coordinate (x1,y1) and lower-right corner coordinate (x2,y2). A valid
+     * bounding box should satisfy x1 <= x2 and y1 <= y2.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Inputs:
+     * * 0: A 4-D Tensor specifying the score of each anchor at each
+     *      location. With "NHWC" data layout, the tensor shape is
+     *      [batches, height, width, num_anchors]. With "NCHW" data layout,
+     *      the tensor shape is [batches, num_anchors, height, width].
+     * * 1: A 4-D Tensor specifying the bounding box deltas. With "NHWC" data
+     *      layout, the tensor shape is [batches, height, width, num_anchors * 4].
+     *      With "NCHW" data layout, the tensor shape is
+     *      [batches, num_anchors * 4, height, width]. The box deltas are encoded
+     *      in the order of [dx, dy, dw, dh], where dx and dy is the linear-scale
+     *      relative correction factor for the center position of the bounding box
+     *      with respect to the width and height, dw and dh is the log-scale
+     *      relative correction factor for the width and height. The last
+     *      dimensions is the channel dimension.
+     * * 2: A 2-D Tensor of shape [num_anchors, 4], specifying the shape of each
+     *      predefined anchor, with format [x1, y1, x2, y2]. For input0 of type
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, this tensor should be of
+     *      {@link OperandType::TENSOR_QUANT16_SYMM}, with scale of 0.125.
+     * * 3: A 2-D Tensor of shape [batches, 2], specifying the size of
+     *      each image in the batch, with format [image_height, image_width].
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, this
+     *      tensor should be of {@link OperandType::TENSOR_QUANT16_SYMM}, with
+     *      scale of 0.125.
+     * * 4: An {@link OperandType::FLOAT32} scalar, specifying the ratio
+     *      from the height of original image to the height of feature map.
+     * * 5: An {@link OperandType::FLOAT32} scalar, specifying the ratio
+     *      from the width of original image to the width of feature map.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the maximum
+     *      number of boxes before going into the hard NMS algorithm. Boxes
+     *      with the lowest scores are discarded to meet the limit. Set to
+     *      a non-positive value for unlimited number.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the maximum
+     *      number of boxes returning from the hard NMS algorithm. Boxes
+     *      with the lowest scores are discarded to meet the limit. Set to
+     *      a non-positive value for unlimited number.
+     * * 8: An {@link OperandType::FLOAT32} scalar, specifying the IoU
+     *      threshold for hard NMS.
+     * * 9: An {@link OperandType::FLOAT32} scalar, min_size. Boxes with
+     *      height or width lower than the absolute threshold are filtered out.
+     * * 10: An {@link OperandType::BOOL} scalar, set to true to specify
+     *       NCHW data layout for input0 and input1. Set to false for NHWC.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0, of shape
+     *      [num_output_rois], specifying the score of each output box.
+     *      The boxes are grouped by batches, but the sequential order in
+     *      each batch is not guaranteed. For type of
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, the scale and zero
+     *      point must be the same as input0.
+     * * 1: A tensor of the same {@link OperandType} as input3, of shape
+     *      [num_output_rois, 4], specifying the coordinates of each output
+     *      bounding box for each class, with format [x1, y1, x2, y2].
+     *      The sequential order of the boxes corresponds with output0.
+     *      For type of {@link OperandType::TENSOR_QUANT16_ASYMM}, the
+     *      scale must be 0.125 and the zero point must be 0.
+     * * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [num_output_rois], specifying the batch index of each box. Boxes
+     *      with the same batch index are grouped together.
+     */
+    GENERATE_PROPOSALS = 52,
+    /**
+     * For input tensors x and y, computes x > y elementwise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and dimensions compatible
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    GREATER = 53,
+    /**
+     * For input tensors x and y, computes x >= y elementwise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and dimensions compatible
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    GREATER_EQUAL = 54,
+    /**
+     * Performs a grouped 2-D convolution operation.
+     *
+     * Given an input tensor of shape [batches, height, width, depth_in] and a
+     * filter tensor of shape [depth_out, filter_height, filter_width, depth_group]
+     * containing depth_out convolutional filters of depth depth_group, GROUPED_CONV
+     * applies a group of different filters to each input channel group, then
+     * concatenates the results together.
+     *
+     * Specifically, the input channels are divided into num_groups groups, each with
+     * depth depth_group, i.e. depth_in = num_groups * depth_group. The convolutional
+     * filters are also divided into num_groups groups, i.e. depth_out is divisible
+     * by num_groups. GROUPED_CONV applies each group of filters to the corresponding
+     * input channel group, and the result are concatenated together.
+     *
+     * The output dimensions are functions of the filter dimensions, stride, and
+     * padding.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[b, i, j, g * channel_multiplier + q] =
+     *         sum_{di, dj, dk} (
+     *             input[b, strides[1] * i + di, strides[2] * j + dj,
+     *                   g * depth_group + dk] *
+     *             filter[g * channel_multiplier + q, di, dj, dk]
+     *         ) + bias[channel]
+     *
+     * where channel_multiplier = depth_out / num_groups
+     *
+     * Supported tensor {@link OperandType} configurations:
+     * * 16 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT16} for input, filter, output, and bias.
+     *
+     * * 32 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT32} for input, filter, output, and bias.
+     *
+     * * Quantized:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized with symmetric per channel quantization for the filter:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     *
+     * Both explicit padding and implicit padding are supported.
+     *
+     * Inputs (explicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input, where depth_in = num_groups * depth_group.
+     * * 1: A 4-D tensor, of shape
+     *      [depth_out, filter_height, filter_width, depth_group], specifying
+     *      the filter, where depth_out must be divisible by num_groups.  For
+     *      tensor of type {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      the channel dimension (channelDim at
+     *      {@link SymmPerChannelQuantParams}) must be set to 0.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
+     *      of 0 and bias_scale == input_scale * filter_scale. For filter tensor
+     *      of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
+     *      should be of {@link OperandType::TENSOR_INT32}, with zeroPoint of
+     *      0 and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the left, in the ‘width’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the right, in the ‘width’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the top, in the ‘height’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the bottom, in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 8: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 9: An {@link OperandType::INT32} scalar, specifying the number of
+     *      groups.
+     * * 10: An {@link OperandType::INT32} scalar, and has to be one of the
+     *       {@link FusedActivationFunc} values. Specifies the activation to
+     *       invoke on the result.
+     * * 11: An {@link OperandType::BOOL} scalar, set to true to specify
+     *       NCHW data layout for input0 and output0. Set to false for NHWC.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input, where depth_in = num_groups * depth_group.
+     * * 1: A 4-D tensor, of shape
+     *      [depth_out, filter_height, filter_width, depth_group], specifying
+     *      the filter, where depth_out must be divisible by num_groups.  For
+     *      tensor of type {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      the channel dimension (SymmPerChannelQuantParams::channelDim)
+     *      must be set to 0.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
+     *      of 0 and bias_scale == input_scale * filter_scale. For filter tensor
+     *      of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
+     *      should be of {@link OperandType::TENSOR_INT32}, with zeroPoint of
+     *      0 and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::INT32} scalar, specifying the implicit
+     *      padding scheme, has to be one of the
+     *      following values: {0 (NONE), 1 (SAME), 2 (VALID)}.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the number of
+     *      groups.
+     * * 7: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 8: An {@link OperandType::BOOL} scalar, set to true to specify
+     *      NCHW data layout for input0 and output0. Set to false for NHWC.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth_out].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
+     */
+    GROUPED_CONV_2D = 55,
+    /**
+     * Localize the maximum keypoints from heatmaps.
+     *
+     * This operation approximates the accurate maximum keypoint scores and
+     * indices after bicubic upscaling by using Taylor expansion up to the
+     * quadratic term.
+     *
+     * The bounding box is represented by its upper-left corner coordinate
+     * (x1,y1) and lower-right corner coordinate (x2,y2) in the original image.
+     * A valid bounding box should satisfy x1 <= x2 and y1 <= y2.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     *
+     * Inputs:
+     * * 0: A 4-D Tensor of shape
+     *      [num_boxes, heatmap_size, heatmap_size, num_keypoints],
+     *      specifying the heatmaps, the height and width of heatmaps should
+     *      be the same, and must be greater than or equal to 2.
+     * * 1: A 2-D Tensor of shape [num_boxes, 4], specifying the bounding boxes,
+     *      each with format [x1, y1, x2, y2]. For input0 of type
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, this tensor should
+     *      be of {@link OperandType::TENSOR_QUANT16_ASYMM}, with zeroPoint
+     *      of 0 and scale of 0.125.
+     *      For input0 of type
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, this tensor
+     *      should be of {@link OperandType::TENSOR_QUANT16_ASYMM}, with
+     *      zeroPoint of -128 and scale of 0.125.
+     * * 2: An {@link OperandType::BOOL} scalar, set to true to specify
+     *      NCHW data layout for input0. Set to false for NHWC.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0, with shape
+     *      [num_boxes, num_keypoints], specifying score of the keypoints.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint can be different from input0 scale and zeroPoint.
+     * * 1: A tensor of the same {@link OperandType} as input1, with shape
+     *      [num_boxes, num_keypoints, 2], specifying the location of
+     *      the keypoints, the second dimension is organized as
+     *      [keypoint_x, keypoint_y].
+     *      For type of {@link OperandType::TENSOR_QUANT16_ASYMM}, the
+     *      scale must be 0.125 and the zero point must be 0.
+     */
+    HEATMAP_MAX_KEYPOINT = 56,
+    /**
+     * Applies instance normalization to the input tensor.
+     *
+     * The values in the output tensor are computed as:
+     *
+     *     output[b, h, w, c] =
+     *         (input[b, h, w, c] - mean[b, c]) * gamma /
+     *         sqrt(var[b, c] + epsilon) + beta
+     *
+     * Where the mean and variance are computed across the spatial dimensions:
+     *
+     *     mean[b, c] =
+     *         sum_{h, w}(input[b, h, w, c]) / sum(1)
+     *
+     *     var[b, c] =
+     *         sum_{h, w}(pow(input[b, h, w, c] - mean[b, c], 2)) / sum(1)
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be normalized.
+     * * 1: A scalar, specifying gamma, the scale applied to the normalized
+     *      tensor. The scalar must be of {@link OperandType::FLOAT16} if
+     *      input0 is of {@link OperandType::TENSOR_FLOAT16} and of
+     *      {@link OperandType::FLOAT32} if input0 is of
+     *      {@link OperandType::TENSOR_FLOAT32}.
+     * * 2: A scalar, specifying beta, the offset applied to the normalized
+     *      tensor. The scalar must be of {@link OperandType::FLOAT16} if
+     *      input0 is of {@link OperandType::TENSOR_FLOAT16} and of
+     *      {@link OperandType::FLOAT32} if input0 is of
+     *      {@link OperandType::TENSOR_FLOAT32}.
+     * * 3: A scalar, specifying epsilon, the small value added to variance to
+     *      avoid dividing by zero. The scalar must be of {@link OperandType::FLOAT16} if
+     *      input0 is of {@link OperandType::TENSOR_FLOAT16} and of
+     *      {@link OperandType::FLOAT32} if input0 is of
+     *      {@link OperandType::TENSOR_FLOAT32}.
+     * * 4: An {@link OperandType::BOOL} scalar, set to true to specify
+     *      NCHW data layout for input0 and output0. Set to false for NHWC.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} and same shape as input0.
+     */
+    INSTANCE_NORMALIZATION = 57,
+    /**
+     * For input tensors x and y, computes x < y elementwise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and dimensions compatible
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    LESS = 58,
+    /**
+     * For input tensors x and y, computes x <= y elementwise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and dimensions compatible
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    LESS_EQUAL = 59,
+    /**
+     * Computes natural logarithm of x element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    LOG = 60,
+    /**
+     * Returns the truth value of x AND y element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     * * 1: A tensor of {@link OperandType::TENSOR_BOOL8} and dimensions
+     *      compatible with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    LOGICAL_AND = 61,
+    /**
+     * Computes the truth value of NOT x element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    LOGICAL_NOT = 62,
+    /**
+     * Returns the truth value of x OR y element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     * * 1: A tensor of {@link OperandType::TENSOR_BOOL8} and dimensions
+     *      compatible with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    LOGICAL_OR = 63,
+    /**
+     * Computes the log softmax activations given logits.
+     *
+     * The output is calculated using this formula:
+     *
+     *     output = logits * beta - log(reduce_sum(exp(logits * beta), axis))
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor specifying the input logits.
+     * * 1: A scalar, specifying the positive scaling factor for the exponent,
+     *      beta.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta
+     *      value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta
+     *      value must be of {@link OperandType::FLOAT32}.
+     * * 2: An {@link OperandType::INT32} scalar specifying the axis to
+     *      reduce across. Negative index is used to specify axis from the
+     *      end (e.g. -1 for the last axis). Must be in the range [-n, n).
+     *
+     * Outputs:
+     * * 0: The output tensor of the same {@link OperandType} and shape as
+     *      input0.
+     */
+    LOG_SOFTMAX = 64,
+    /**
+     * Returns the element-wise maximum of two tensors.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and compatible dimensions
+     *      with input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      the scales and zeroPoint can be different from input0 scale and zeroPoint.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
+     */
+    MAXIMUM = 65,
+    /**
+     * Returns the element-wise minimum of two tensors.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and compatible dimensions
+     *      with input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      the scales and zeroPoint can be different from input0 scale and zeroPoint.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
+     */
+    MINIMUM = 66,
+    /**
+     * Computes numerical negative value element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    NEG = 67,
+    /**
+     * For input tensors x and y, computes x != y elementwise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * This operation supports broadcasting.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and dimensions compatible
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: A tensor of {@link OperandType::TENSOR_BOOL8}.
+     */
+    NOT_EQUAL = 68,
+    /**
+     * Pads a tensor with the given constant value according to the specified
+     * paddings.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be padded.
+     * * 1: A 2-D Tensor of {@link OperandType::TENSOR_INT32}, the paddings
+     *      for each spatial dimension of the input tensor. The shape of the
+     *      tensor must be {rank(input0), 2}.
+     *      padding[i, 0] specifies the number of elements to be padded in the
+     *      front of dimension i.
+     *      padding[i, 1] specifies the number of elements to be padded after
+     *      the end of dimension i.
+     * * 2: An scalar specifying the value to use for padding input0.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the
+     *      pad value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the
+     *      pad value must be of {@link OperandType::FLOAT32}.
+     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the pad value must be of {@link OperandType::INT32}. The
+     *      scale and zeroPoint are assumed to be the same as in input0.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0. The
+     *      output tensor has the same rank as input0, and each
+     *      dimension of the output tensor has the same size as the
+     *      corresponding dimension of the input tensor plus the size
+     *      of the padding:
+     *          output0.dimension[i] =
+     *              padding[i, 0] + input0.dimension[i] + padding[i, 1]
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    PAD_V2 = 69,
+    /**
+     * Computes the power of one value to another.
+     *
+     * Given a tensor base and a tensor exponent, this operation computes
+     * base^exponent elementwise.
+     *
+     * This operations supports broadcasting. The size of the output is the
+     * maximum size along each dimension of the input operands. It starts with
+     * the trailing dimensions, and works its way forward.
+     *
+     * For example:
+     *     base.dimension     =    {4, 1, 2}
+     *     exponent.dimension = {5, 4, 3, 1}
+     *     output.dimension   = {5, 4, 3, 2}
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: A tensor specifying the base.
+     * * 1: A tensor specifying the exponent.
+     *
+     * Outputs:
+     * * 0: An output tensor.
+     */
+    POW = 70,
+    /**
+     * Parametric Rectified Linear Unit.
+     *
+     * It follows: f(x) = alpha * x for x < 0, f(x) = x for x >= 0, where alpha
+     * is a learned array with the same {@link OperandType} and compatible
+     * dimensions as input x.
+     *
+     * Two dimensions are compatible when:
+     *     1. they are equal, or
+     *     2. one of them is 1
+     *
+     * The size of the output is the maximum size along each dimension of the
+     * input operands. It starts with the trailing dimensions, and works its way
+     * forward.
+     *
+     * Example:
+     *     input.dimension  =    {4, 1, 2}
+     *     alpha.dimension  = {5, 4, 3, 1}
+     *     output.dimension = {5, 4, 3, 2}
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     * * 1: A tensor of the same {@link OperandType}, and compatible dimensions
+     *      as input0, specifying the alpha.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scales and zeroPoint can be different from input0 scale and zeroPoint.
+     */
+    PRELU = 71,
+    /**
+     * Quantizes the input tensor.
+     *
+     * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM} output tensor is:
+     *
+     *     output = max(0, min(255, round(input / scale) + zeroPoint)
+     *
+     * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} output
+     * tensor is:
+     *
+     *     output = max(-128, min(127, round(input / scale) + zeroPoint)
+     *
+     * Supported input tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported output tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: A tensor, may be zero-sized.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0, but with
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or.
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}.
+     */
+    QUANTIZE = 72,
+    /**
+     * A version of quantized LSTM, using 16 bit quantization for internal
+     * state.
+     *
+     * There is no projection layer, so cell state size is equal to the output
+     * size.
+     *
+     * Inputs:
+     * * 0: A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [numBatches, inputSize] specifying the input to the LSTM
+     *      cell. Tensor is quantized with a fixed quantization range of
+     *      [-1, 127/128] (scale = 1/128, zeroPoint = 128).
+     * * 1: The input-to-input weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, inputSize] specifying input-to-input part of
+     *      weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 2: The input-to-forget weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, inputSize] specifying input-to-forget part of
+     *      weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 3: The input-to-cell weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, inputSize] specifying input-to-cell part of
+     *      weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 4: The input-to-output weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, inputSize] specifying input-to-output part of
+     *      weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 5: The recurrent-to-input weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, outputSize] specifying recurrent-to-input part
+     *      of weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 6: The recurrent-to-forget weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, outputSize] specifying recurrent-to-forget
+     *      part of weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 7: The recurrent-to-cell weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, outputSize] specifying recurrent-to-cell part
+     *      of weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 8: The recurrent-to-output weights.
+     *      A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [outputSize, outputSize] specifying recurrent-to-output
+     *      part of weights for fully-connected layer inside the LSTM cell.
+     *      Quantization zero point and scale must be the same across all the
+     *      weights.
+     * * 9: The input gate bias.
+     *      A 1-D tensor of type {@link OperandType::TENSOR_INT32} and shape
+     *      [outputSize] specifying the bias for the fully-connected layer
+     *      inside the LSTM cell. Bias is quantized with scale being a product
+     *      of input and weights scales and zeroPoint equal to 0.
+     * * 10:The forget gate bias.
+     *      A 1-D tensor of type {@link OperandType::TENSOR_INT32} and shape
+     *      [outputSize] specifying the bias for the fully-connected layer
+     *      inside the LSTM cell. Bias is quantized with scale being a product
+     *      of input and weights scales and zeroPoint equal to 0.
+     * * 11:The cell bias.
+     *      A 1-D tensor of type {@link OperandType::TENSOR_INT32} and shape
+     *      [outputSize] specifying the bias for the fully-connected layer
+     *      inside the LSTM cell. Bias is quantized with scale being a product
+     *      of input and weights scales and zeroPoint equal to 0.
+     * * 12:The output gate bias.
+     *      A 1-D tensor of type {@link OperandType::TENSOR_INT32} and shape
+     *      [outputSize] specifying the bias for the fully-connected layer
+     *      inside the LSTM cell. Bias is quantized with scale being a product
+     *      of input and weights scales and zeroPoint equal to 0.
+     * * 13: A 2-D tensor of type {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       and shape [numBatches, outputSize] specifying the cell state from the
+     *       previous time step of the LSTM cell. It is quantized using a
+     *       quantization range of [-2^4, 2^4 * 32767/32768] (scale = 2^4 /
+     *       32768, zeroPoint = 0).
+     * * 14: A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *       and shape [numBathes, outputSize] specifying the output of the LSTM
+     *       cell from previous time-step. Tensor is quantized with a fixed
+     *       quantization range of [-1, 127/128] (scale = 1/128, zeroPoint =
+     *       128).
+     *
+     *
+     * Outputs:
+     * * 0: A 2-D tensor of type {@link OperandType::TENSOR_QUANT16_SYMM}
+     *      and shape [numBatches, outputSize] which contains a cell state from
+     *      the current time step. Tensor is quantized using a quantization
+     *      range of [-2^4, 2^4 * 32767/32768] (scale = 2^4 / 32768, zeroPoint =
+     *      0).
+     * * 1: A 2-D tensor of type {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and shape [numBathes, outputSize] which contains the output value.
+     *      Tensor is quantized with a fixed quantization range of [-1, 127/128]
+     *      (scale = 1/128, zeroPoint = 128).
+     */
+    QUANTIZED_16BIT_LSTM = 73,
+    /**
+     * Draws samples from a multinomial distribution.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Inputs:
+     * * 0: A 2-D tensor with shape [batches, classes], specifying the
+     *      unnormalized log-probabilities for all classes.
+     * * 1: A scalar {@link OperandType::INT32}, specifying the number of
+     *      independent samples to draw for each row slice.
+     * * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor with shape [2],
+     *      specifying seeds used to initialize the random distribution. If both
+     *      provided seeds are 0, both will be randomly generated.
+     * Outputs:
+     * * 0: A 2-D {@link OperandType::TENSOR_INT32} tensor with shape
+     *      [batches, samples], containing the drawn samples.
+     */
+    RANDOM_MULTINOMIAL = 74,
+    /**
+     * Reduces a tensor by computing the "logical and" of elements along given
+     * dimensions.
+     *
+     * If keep_dims is true, the reduced dimensions are
+     * retained with length 1. Otherwise, the rank of the tensor is reduced by
+     * 1 for each entry in dimensions.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor.
+     * * 1: A 1-D tensor of {@link OperandType::TENSOR_INT32}. The dimensions
+     *      to reduce. Dimension values must be in the range [-n, n).
+     * * 2: An {@link OperandType::BOOL} scalar, keep_dims. If true,
+     *      retains reduced dimensions with length 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      If all dimensions are reduced and keep_dims is false, the output
+     *      shape is [1].
+     */
+    REDUCE_ALL = 75,
+    /**
+     * Reduces a tensor by computing the "logical or" of elements along given
+     * dimensions.
+     *
+     * If keep_dims is true, the reduced dimensions are
+     * retained with length 1. Otherwise, the rank of the tensor is reduced by
+     * 1 for each entry in dimensions.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_BOOL8}
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor.
+     * * 1: A 1-D tensor of {@link OperandType::TENSOR_INT32}. The dimensions
+     *      to reduce. Dimension values must be in the range [-n, n).
+     * * 2: An {@link OperandType::BOOL} scalar, keep_dims. If true,
+     *      retains reduced dimensions with length 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      If all dimensions are reduced and keep_dims is false, the output
+     *      shape is [1].
+     */
+    REDUCE_ANY = 76,
+    /**
+     * Reduces a tensor by computing the maximum of elements along given
+     * dimensions.
+     *
+     * If keep_dims is true, the reduced dimensions are
+     * retained with length 1. Otherwise, the rank of the tensor is reduced by
+     * 1 for each entry in dimensions.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor.
+     * * 1: A 1-D tensor of {@link OperandType::TENSOR_INT32}. The dimensions
+     *      to reduce. Dimension values must be in the range [-n, n).
+     * * 2: An {@link OperandType::BOOL} scalar, keep_dims. If true,
+     *      retains reduced dimensions with length 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      If all dimensions are reduced and keep_dims is false, the output
+     *      shape is [1].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    REDUCE_MAX = 77,
+    /**
+     * Reduces a tensor by computing the minimum of elements along given
+     * dimensions.
+     *
+     * If keep_dims is true, the reduced dimensions are
+     * retained with length 1. Otherwise, the rank of the tensor is reduced by
+     * 1 for each entry in dimensions.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor.
+     * * 1: A 1-D tensor of {@link OperandType::TENSOR_INT32}. The dimensions
+     *      to reduce. Dimension values must be in the range [-n, n).
+     * * 2: An {@link OperandType::BOOL} scalar, keep_dims. If true,
+     *      retains reduced dimensions with length 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      If all dimensions are reduced and keep_dims is false, the output
+     *      shape is [1].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    REDUCE_MIN = 78,
+    /**
+     * Reduces a tensor by multiplying elements along given dimensions.
+     *
+     * If keep_dims is true, the reduced dimensions are
+     * retained with length 1. Otherwise, the rank of the tensor is reduced by
+     * 1 for each entry in dimensions.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor.
+     * * 1: A 1-D tensor of {@link OperandType::TENSOR_INT32}. The dimensions
+     *      to reduce. Dimension values must be in the range [-n, n).
+     * * 2: An {@link OperandType::BOOL} scalar, keep_dims. If true,
+     *      retains reduced dimensions with length 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      If all dimensions are reduced and keep_dims is false, the output
+     *      shape is [1].
+     */
+    REDUCE_PROD = 79,
+    /**
+     * Reduces a tensor by summing elements along given dimensions.
+     *
+     * If keep_dims is true, the reduced dimensions are
+     * retained with length 1. Otherwise, the rank of the tensor is reduced by
+     * 1 for each entry in dimensions.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor.
+     * * 1: A 1-D tensor of {@link OperandType::TENSOR_INT32}. The dimensions
+     *      to reduce. Dimension values must be in the range [-n, n).
+     * * 2: An {@link OperandType::BOOL} scalar, keep_dims. If true,
+     *      retains reduced dimensions with length 1.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *      If all dimensions are reduced and keep_dims is false, the output
+     *      shape is [1].
+     */
+    REDUCE_SUM = 80,
+    /**
+     * Select and scale the feature map of each region of interest to a unified
+     * output size by average pooling sampling points from bilinear interpolation.
+     *
+     * The region of interest is represented by its upper-left corner coordinate
+     * (x1,y1) and lower-right corner coordinate (x2,y2) in the original image.
+     * A spatial scaling factor is applied to map into feature map coordinate.
+     * A valid region of interest should satisfy x1 <= x2 and y1 <= y2.
+     *
+     * No rounding is applied in this operation. The sampling points are unified
+     * distributed in the pooling bin and their values are calculated by bilinear
+     * interpolation.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     *
+     * Inputs:
+     * * 0: A 4-D tensor, specifying the feature map.
+     * * 1: A 2-D Tensor of shape [num_rois, 4], specifying the locations of
+     *      the regions of interest, each line with format [x1, y1, x2, y2].
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      this tensor should be of {@link OperandType::TENSOR_QUANT16_ASYMM},
+     *      with zeroPoint of 0 and scale of 0.125. Zero num_rois is
+     *      supported for this tensor.
+     * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [num_rois], specifying the batch index of each box. Boxes with
+     *      the same batch index are grouped together. Zero num_rois is
+     *      supported for this tensor.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the output
+     *      height of the output tensor.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the output
+     *      width of the output tensor.
+     * * 5: An {@link OperandType::FLOAT32} scalar, specifying the ratio
+     *      from the height of original image to the height of feature map.
+     * * 6: An {@link OperandType::FLOAT32} scalar, specifying the ratio
+     *      from the width of original image to the width of feature map.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the number of
+     *      sampling points in height dimension used to compute the output.
+     *      Set to 0 for adaptive value of ceil(roi_height/out_height).
+     * * 8: An {@link OperandType::INT32} scalar, specifying the number of
+     *      sampling points in width dimension used to compute the output.
+     *      Set to 0 for adaptive value of ceil(roi_width/out_width).
+     * * 9: An {@link OperandType::BOOL} scalar, set to true to specify
+     *      NCHW data layout for input0 and output0. Set to false for NHWC.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0. The output
+     *      shape is [num_rois, out_height, out_width, depth].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint can be different from the input0 scale and zeroPoint.
+     */
+    ROI_ALIGN = 81,
+    /**
+     * Select and scale the feature map of each region of interest to a unified
+     * output size by max-pooling.
+     *
+     * The region of interest is represented by its upper-left corner coordinate
+     * (x1,y1) and lower-right corner coordinate (x2,y2) in the original image.
+     * A spatial scaling factor is applied to map into feature map coordinate.
+     * A valid region of interest should satisfy x1 <= x2 and y1 <= y2.
+     *
+     * Rounding is applied in this operation to ensure integer boundary for
+     * regions of interest and pooling bins.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     *
+     * Inputs:
+     * * 0: A 4-D tensor, specifying the feature map.
+     * * 1: A 2-D Tensor of shape [num_rois, 4], specifying the locations of
+     *      the regions of interest, each line with format [x1, y1, x2, y2].
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      this tensor should be of {@link OperandType::TENSOR_QUANT16_ASYMM},
+     *      with zeroPoint of 0 and scale of 0.125.
+     * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [num_rois], specifying the batch index of each box. Boxes with
+     *      the same batch index are grouped together.
+     * * 3: An {@link OperandType::INT32} scalar, specifying the output
+     *      height of the output tensor.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the output
+     *      width of the output tensor.
+     * * 5: An {@link OperandType::FLOAT32} scalar, specifying the ratio
+     *      from the height of original image to the height of feature map.
+     * * 6: An {@link OperandType::FLOAT32} scalar, specifying the ratio
+     *      from the width of original image to the width of feature map.
+     * * 7: An {@link OperandType::BOOL} scalar, set to true to specify
+     *      NCHW data layout for input0 and output0. Set to false for NHWC.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0. The output
+     *      shape is [num_rois, out_height, out_width, depth].
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    ROI_POOLING = 82,
+    /**
+     * Computes reciprocal of square root of x element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    RSQRT = 83,
+    /**
+     * Using a tensor of booleans c and input tensors x and y select values
+     * elementwise from both input tensors:
+     *
+     * O[i] = C[i] ? x[i] : y[i].
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: A tensor of type {@link OperandType::TENSOR_BOOL8} acting as a
+     *      mask that chooses, based on the value at each element, whether the
+     *      corresponding element in the output should be taken from input1 (if
+     *      true) or input2 (if false).
+     * * 1: An input tensor of the same shape as input0.
+     * * 2: An input tensor of the same shape and type as input1.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scales and zeroPoint can be different from input1 scale and zeroPoint.
+     *
+     * Outputs:
+     * * 0: A tensor of the same type and shape as input1 and input2.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
+     */
+    SELECT = 84,
+    /**
+     * Computes sin of x element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    SIN = 85,
+    /**
+     * Extracts a slice of specified size from the input tensor starting at a
+     * specified location.
+     *
+     * The starting location is specified as a 1-D tensor containing offsets
+     * for each dimension. The size is specified as a 1-D tensor containing
+     * either size of a slice along corresponding dimension or -1. In the latter
+     * case, all the remaining elements in dimension are included in the slice.
+     *
+     * A sum of begin offset and a size of a slice must not exceed size of a
+     * corresponding dimension.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: An n-D tensor to take slice from, may be zero-sized.
+     * * 1: A 1-D tensor of type {@link OperandType::TENSOR_INT32} specifying
+     *      the beginning indices of the slice in each dimension.
+     * * 2: A 1-D tensor of type {@link OperandType::TENSOR_INT32} specifying
+     *      the size of the slice in each dimension.
+     *
+     * Outputs:
+     * * 0: An n-D tensor of the same type as the input containing the slice.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      its scale and zeroPoint has to be same as the input0 scale and zeroPoint.
+     */
+    SLICE = 86,
+    /**
+     * Splits a tensor along a given axis into num_splits subtensors.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: An n-D tensor to split.
+     * * 1: An {@link OperandType::INT32} scalar specifying the axis along
+     *      which to split.
+     * * 2: An {@link OperandType::INT32} scalar indicating the number of
+     *      splits along given axis. Must evenly divide axis size.
+     *
+     * Outputs:
+     * * 0 ~ (num_splits - 1): Resulting subtensors.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    SPLIT = 87,
+    /**
+     * Computes square root of x element-wise.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     */
+    SQRT = 88,
+    /**
+     * Constructs a tensor by tiling a given tensor.
+     *
+     * This operation creates a new tensor by replicating `input` `multiples`
+     * times. The output tensor's i-th dimension has `input.dims(i) * multiples[i]`
+     * elements, and the values of `input` are replicated `multiples[i]` times
+     * along the i-th dimension.
+     * For example, tiling `[a b c d]` by `[2]` produces `[a b c d a b c d]`.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: input, an n-D tensor specifying the input.
+     * * 1: multiples, a 1-D tensor of {@link OperandType::TENSOR_INT32}.
+     *      The length of multiples must be n.
+     *
+     * Outputs:
+     * * 0: A tiled tensor of the same {@link OperandType} and rank as `input`.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    TILE = 89,
+    /**
+     * Finds values and indices of the k largest entries for the last dimension.
+     *
+     * Resulting values in each dimensions are sorted in descending order. If
+     * two values are equal, the one with larger index appears first.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: input, an n-D tensor specifying the input.
+     * * 1: k, an {@link OperandType::INT32} scalar, specifying the number of
+     *      top elements to look for along the last dimension.
+     *
+     * Outputs:
+     * * 0: An n-D tensor of the same type as the input, containing the k
+     *      largest elements along each last dimensional slice.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     * * 1: An n-D tensor of type {@link OperandType::TENSOR_INT32}
+     *      containing the indices of values within the last dimension of input.
+     */
+    TOPK_V2 = 90,
+    /**
+     * Performs the transpose of 2-D convolution operation.
+     *
+     * This operation is sometimes called "deconvolution" after Deconvolutional
+     * Networks, but is actually the transpose (gradient) of
+     * {@link OperandType::CONV_2D} rather than an actual deconvolution.
+     *
+     * The output dimensions are functions of the filter dimensions, stride, and
+     * padding.
+     *
+     * Supported tensor {@link OperandType} configurations:
+     * * 16 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT16} for input, filter, output, and bias.
+     *
+     * * 32 bit floating point:
+     * * * {@link OperandType::TENSOR_FLOAT32} for input, filter, output, and bias.
+     *
+     * * Quantized:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized with symmetric per channel quantization for the filter:
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * Available since HAL version 1.3:
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     *
+     * Both explicit padding and implicit padding are supported.
+     *
+     * Inputs (explicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     * * 1: A 4-D tensor, of shape
+     *      [depth_out, filter_height, filter_width, depth_in], specifying the
+     *      filter. For tensor of type
+     *      {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} the channel
+     *      dimension (SymmPerChannelQuantParams::channelDim) must be set to 0.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the
+     *      same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the left, in the ‘width’ dimension.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the right, in the ‘width’ dimension.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the top, in the ‘height’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the padding on
+     *      the bottom, in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 8: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 9: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 10: An {@link OperandType::BOOL} scalar, set to true to specify
+     *       NCHW data layout for input0 and output0. Set to false for NHWC.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
+     *      specifying the input.
+     * * 1: A 4-D tensor, of shape
+     *      [depth_out, filter_height, filter_width, depth_in], specifying the
+     *      filter. For tensor of type
+     *      {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} the channel
+     *      dimension (SymmPerChannelQuantParams::channelDim) must be set to 0.
+     * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
+     *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias should be of the
+     *      same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
+     * * 3: An {@link OperandType::TENSOR_INT32} tensor, specifying the output
+     *      tensor shape.
+     * * 4: An {@link OperandType::INT32} scalar, specifying the implicit
+     *      padding scheme, has to be one of the
+     *      following values: {0 (NONE), 1 (SAME), 2 (VALID)}.
+     * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘width’ dimension.
+     * * 6: An {@link OperandType::INT32} scalar, specifying the stride when
+     *      walking through input in the ‘height’ dimension.
+     * * 7: An {@link OperandType::INT32} scalar, and has to be one of the
+     *      {@link FusedActivationFunc} values. Specifies the activation to
+     *      invoke on the result.
+     * * 8: An {@link OperandType::BOOL} scalar, set to true to specify
+     *      NCHW data layout for input0 and output0. Set to false for NHWC.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth_out].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
+     */
+    TRANSPOSE_CONV_2D = 91,
+    /**
+     * A recurrent neural network specified by an LSTM cell.
+     *
+     * Performs (fully) dynamic unrolling of input.
+     *
+     * This Op unrolls the input along the time dimension, and implements the
+     * following operation for each element in the sequence
+     * s = 1...sequence_length:
+     *   outputs[s] = projection(state = activation(LSTMOp(inputs[s])))
+     *
+     * Where LSTMOp is the LSTM op as in {@link OperandType::LSTM},
+     * the "projection" is an optional projection layer from state and output
+     * and the “activation” is the function passed as the
+     * “fused_activation_function” argument (if not “NONE”).
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: 3, either time-major or batch-major.
+     *
+     * All input and output tensors must be of the same type.
+     *
+     * Inputs:
+     * * 0: The input (\f$x_t\f$).
+     *      A 3-D tensor of shape:
+     *        If time-major: [max_time, batch_size, input_size]
+     *        If batch-major: [batch_size, max_time, input_size]
+     *      where “max_time” is the number of timesteps (sequence length),
+     *      “batch_size” corresponds to the batching dimension, and
+     *      “input_size” is the size of the input.
+     * * 1: The input-to-input weights (\f$W_{xi}\f$). Optional.
+     *      A 2-D tensor of shape [num_units, input_size], where “num_units”
+     *      corresponds to the number of cell units.
+     * * 2: The input-to-forget weights (\f$W_{xf}\f$).
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 3: The input-to-cell weights (\f$W_{xc}\f$).
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 4: The input-to-output weights (\f$W_{xo}\f$).
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 5: The recurrent-to-input weights (\f$W_{hi}\f$). Optional.
+     *      A 2-D tensor of shape [num_units, output_size], where “output_size”
+     *      corresponds to either the number of cell units (i.e., “num_units”),
+     *      or the second dimension of the “projection_weights”, if defined.
+     * * 6: The recurrent-to-forget weights (\f$W_{hf}\f$).
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 7: The recurrent-to-cell weights (\f$W_{hc}\f$).
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 8: The recurrent-to-output weights (\f$W_{ho}\f$).
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 9: The cell-to-input weights (\f$W_{ci}\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 10:The cell-to-forget weights (\f$W_{cf}\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 11:The cell-to-output weights (\f$W_{co}\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 12:The input gate bias (\f$b_i\f$). Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 13:The forget gate bias (\f$b_f\f$).
+     *      A 1-D tensor of shape [num_units].
+     * * 14:The cell bias (\f$b_c\f$).
+     *      A 1-D tensor of shape [num_units].
+     * * 15:The output gate bias (\f$b_o\f$).
+     *      A 1-D tensor of shape [num_units].
+     * * 16:The projection weights (\f$W_{proj}\f$). Optional.
+     *      A 2-D tensor of shape [output_size, num_units].
+     * * 17:The projection bias (\f$b_{proj}\f$). Optional.
+     *      A 1-D tensor of shape [output_size].
+     * * 18:The output state (in) (\f$h_{t-1}\f$).
+     *      A 2-D tensor of shape [batch_size, output_size].
+     * * 19:The cell state (in) (\f$C_{t-1}\f$).
+     *      A 2-D tensor of shape [batch_size, num_units].
+     * * 20:The activation function (\f$g\f$).
+     *      A value indicating the activation function:
+     *      <ul>
+     *      <li>0: None;
+     *      <li>1: Relu;
+     *      <li>3: Relu6;
+     *      <li>4: Tanh;
+     *      <li>6: Sigmoid.
+     *      </ul>
+     * * 21:The clipping threshold (\f$t_{cell}\f$) for the cell state, such
+     *      that values are bound within [-cell_clip, cell_clip]. If set to 0.0
+     *      then clipping is disabled.
+     * * 22:The clipping threshold (\f$t_{proj}\f$) for the output from the
+     *      projection layer, such that values are bound within
+     *      [-proj_clip, proj_clip]. If set to 0.0 then clipping is disabled.
+     * * 23:Time-major if true, batch-major if false.
+     * * 24:The input layer normalization weights. Optional.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at input gate.
+     * * 25:The forget layer normalization weights. Optional.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at forget gate.
+     * * 26:The cell layer normalization weights. Optional.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at cell gate.
+     * * 27:The output layer normalization weights. Optional.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at output gate.
+     *
+     * Outputs:
+     * * 0: The output (\f$o_t\f$).
+     *      A 3-D tensor of shape:
+     *        If time-major: [max_time, batch_size, output_size]
+     *        If batch-major: [batch_size, max_time, output_size]
+     * * 1: A tensor of shape [batch_size, output_size] containing a hidden
+     *      state from the last time step in the sequence. This output is
+     *      optional and can be omitted. If this output is present then
+     *      output #2 must be present as well.
+     *      Available since HAL version 1.3.
+     * * 2: A tensor of shape [batch_size, cell_size] containing a cell state
+     *      from the last time step in the sequence. This output is optional
+     *      and can be omitted.
+     *      Available since HAL version 1.3.
+     */
+    UNIDIRECTIONAL_SEQUENCE_LSTM = 92,
+    /**
+     * A recurrent neural network layer that applies a basic RNN cell to a
+     * sequence of inputs.
+     *
+     * This layer unrolls the input along the sequence dimension, and implements
+     * the following operation
+     * for each element in the sequence s = 1...sequence_length:
+     *   outputs[s] = state = activation(inputs[s] * input_weights’ + state *
+     *   recurrent_weights’ + bias)
+     *
+     * Where:
+     * * “input_weights” is a weight matrix that multiplies the inputs;
+     * * “recurrent_weights” is a weight matrix that multiplies the current
+     *    “state” which itself is the output from the previous time step
+     *    computation;
+     * * “bias” is a bias vector (added to each output vector in the batch);
+     * * “activation” is the function passed as the “fused_activation_function”
+     *   argument (if not “NONE”).
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * The input tensors must all be the same type.
+     *
+     * Inputs:
+     * * 0: input.
+     *      A 3-D tensor. The shape is defined by the input 6 (timeMajor). If
+     *      it is set to 1, then the input has a shape [maxTime, batchSize,
+     *      inputSize], otherwise the input has a shape [batchSize, maxTime,
+     *      inputSize].
+     * * 1: weights.
+     *      A 2-D tensor of shape [numUnits, inputSize].
+     * * 2: recurrent_weights.
+     *      A 2-D tensor of shape [numUnits, numUnits].
+     * * 3: bias.
+     *      A 1-D tensor of shape [numUnits].
+     * * 4: hidden state
+     *      A 2-D tensor of shape [batchSize, numUnits]. Specifies a hidden
+     *      state input for the first time step of the computation.
+     * * 5: fusedActivationFunction.
+     *      A {@link FusedActivationFunc} value indicating the activation function. If
+     *      “NONE” is specified then it results in a linear activation.
+     * * 6: timeMajor
+     *      An {@link OperandType::INT32} scalar specifying the shape format
+     *      of input and output tensors. Must be set to either 0 or 1.
+     * Outputs:
+     * * 0: output.
+     *      A 3-D tensor. The shape is defined by the input 6 (timeMajor). If
+     *      it is set to 1, then the output has a shape [maxTime, batchSize,
+     *      numUnits], otherwise the output has a shape [batchSize, maxTime,
+     *      numUnits].
+     * * 1: A tensor of shape [batchSize, numUnits] containing hidden state
+     *      from the last time step in the sequence. This output is optional
+     *      and can be omitted.
+     *      Available since HAL version 1.3.
+     */
+    UNIDIRECTIONAL_SEQUENCE_RNN = 93,
+    /**
+     * Resizes images to given size using the nearest neighbor interpretation.
+     *
+     * Resized images must be distorted if their output aspect ratio is not the
+     * same as input aspect ratio. The corner pixels of output may not be the
+     * same as corner pixels of input.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
+     * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
+     * With the default data layout NHWC, the data is stored in the order of:
+     * [batch, height, width, channels]. Alternatively, the data layout could
+     * be NCHW, the data storage order of: [batch, channels, height, width].
+     *
+     * Both resizing by shape and resizing by scale are supported.
+     *
+     * Inputs (resizing by shape):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input. Zero batches is supported for this tensor.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the output
+     *      width of the output tensor.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the output
+     *      height of the output tensor.
+     * * 3: An {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
+     *
+     * Inputs (resizing by scale):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input. Zero batches is supported for this tensor.
+     * * 1: A scalar, specifying width_scale, the scaling factor of the width
+     *      dimension from the input tensor to the output tensor. The output
+     *      width is calculated as new_width = floor(width * width_scale).
+     *      The scalar must be of {@link OperandType::FLOAT16} if input0 is
+     *      of {@link OperandType::TENSOR_FLOAT16} and of
+     *      {@link OperandType::FLOAT32} otherwise.
+     * * 2: A scalar, specifying height_scale, the scaling factor of the height
+     *      dimension from the input tensor to the output tensor. The output
+     *      height is calculated as new_height = floor(height * height_scale).
+     *      The scalar must be of {@link OperandType::FLOAT16} if input0 is
+     *      of {@link OperandType::TENSOR_FLOAT16} and of
+     *      {@link OperandType::FLOAT32} otherwise.
+     * * 3: An {@link OperandType::BOOL} scalar, default to false.
+     *      Set to true to specify NCHW data layout for input0 and output0.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, new_height, new_width, depth].
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scale and zeroPoint must be the same as input0.
+     */
+    RESIZE_NEAREST_NEIGHBOR = 94,
+    /**
+     * Quantized version of {@link OperationType::LSTM}.
+     *
+     * The input and the output use asymmetric quantized types, while the rest
+     * use symmetric ones.
+     *
+     * Inputs:
+     * * 0: The input to the LSTM cell.
+     *      Type: {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *      Shape: [batchSize, inputSize]
+     * * 1: The input-to-input weights. Optional.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, inputSize]
+     * * 2: The input-to-forget weights.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, inputSize]
+     * * 3: The input-to-cell weights.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, inputSize]
+     * * 4: The input-to-output weights.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, inputSize]
+     * * 5: The recurrent-to-input weights. Optional.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, outputSize]
+     * * 6: The recurrent-to-forget weights.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, outputSize]
+     * * 7: The recurrent-to-cell weights.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, outputSize]
+     * * 8: The recurrent-to-output weights.
+     *      Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *      Shape: [numUnits, outputSize]
+     * * 9: The cell-to-input weights (for peephole). Optional.
+     *      Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *      Shape: [numUnits]
+     * * 10: The cell-to-forget weights (for peephole). Optional.
+     *       Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       Shape: [numUnits]
+     * * 11: The cell-to-output weights (for peephole). Optional.
+     *       Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       Shape: [numUnits]
+     * * 12: The input gate bias. Quantized with scale being the
+     *       product of input and weights scales and zeroPoint equal to 0.
+     *       Optional.
+     *       Type: {@link OperandType::TENSOR_INT32}
+     *       Shape: [numUnits]
+     * * 13: The forget gate bias. Quantized with scale being the
+     *       product of input and weights scales and zeroPoint equal to 0.
+     *       Type: {@link OperandType::TENSOR_INT32}
+     *       Shape: [numUnits]
+     * * 14: The cell bias. Quantized with scale being the
+     *       product of input and weights scales and zeroPoint equal to 0.
+     *       Type: {@link OperandType::TENSOR_INT32}
+     *       Shape: [numUnits]
+     * * 15: The output gate bias. Quantized with scale being the
+     *       product of input and weights scales and zeroPoint equal to 0.
+     *       Type: {@link OperandType::TENSOR_INT32}
+     *       Shape: [numUnits]
+     * * 16: The projection weights. Optional.
+     *       Type: {@link OperandType::TENSOR_QUANT8_SYMM}
+     *       Shape: [outputSize, numUnits]
+     * * 17: The projection bias. Quantized with scale being the
+     *       product of input and weights scales and zeroPoint equal to 0.
+     *       Optional.
+     *       Type: {@link OperandType::TENSOR_INT32}
+     *       Shape: [outputSize]
+     * * 18: The output from the previous time step.
+     *       Type: {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *       Shape: [batchSize, outputSize]
+     * * 19: The cell state from the previous time step.
+     *       Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       Shape: [batchSize, numUnits]
+     * * 20: The input layer normalization weights. Used to rescale
+     *       normalized inputs to activation at input gate. Optional.
+     *       Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       Shape: [numUnits]
+     * * 21: The forget layer normalization weights. Used to
+     *       rescale normalized inputs to activation at forget gate. Optional.
+     *       Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       Shape: [numUnits]
+     * * 22: The cell layer normalization weights. Used to rescale
+     *       normalized inputs to activation at cell gate. Optional.
+     *       Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       Shape: [numUnits]
+     * * 23: The output layer normalization weights. Used to
+     *       rescale normalized inputs to activation at output gate. Optional.
+     *       Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *       Shape: [numUnits]
+     * * 24: The cell clip. If provided the cell state is clipped
+     *       by this value prior to the cell output activation. Optional.
+     *       Type: {@link OperandType::FLOAT32}.
+     * * 25: The projection clip. If provided and projection is enabled,
+     *       this is used for clipping the projected values. Optional.
+     *       Type: {@link OperandType::FLOAT32}.
+     * * 26: The scale of the intermediate result of matmul,
+     *       i.e. input to layer normalization, at input gate.
+     *       Type: {@link OperandType::FLOAT32}.
+     * * 27: The scale of the intermediate result of matmul,
+     *       i.e. input to layer normalization, at forget gate.
+     *       Type: {@link OperandType::FLOAT32}.
+     * * 28: The scale of the intermediate result of matmul,
+     *       i.e. input to layer normalization, at cell gate.
+     *       Type: {@link OperandType::FLOAT32}.
+     * * 29: The scale of the intermediate result of matmul,
+     *       i.e. input to layer normalization, at output gate.
+     *       Type: {@link OperandType::FLOAT32}.
+     * * 30: The zero point of the hidden state, i.e. input to
+     *       projection.
+     *       Type: {@link OperandType::INT32}.
+     * * 31: The scale of the hidden state, i.e. input to
+     *       projection.
+     *       Type: {@link OperandType::FLOAT32}.
+     *
+     * Outputs:
+     * * 0: The output state (out).
+     *      Type: {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *      Shape: [batchSize, outputSize]
+     * * 1: The cell state (out).
+     *      Type: {@link OperandType::TENSOR_QUANT16_SYMM}
+     *      Shape: [batchSize, numUnits]
+     * * 2: The output. This is effectively the same as the current
+     *      "output state (out)" value.
+     *      Type: {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *      Shape: [batchSize, outputSize]
+     */
+    QUANTIZED_LSTM = 95,
+    /**
+     * Executes one of the two referenced subgraphs as determined by a boolean
+     * value.
+     *
+     * The inputs and outputs of the two referenced subgraphs must agree with the
+     * signature of this operation. That is, if the operation has (3 + n) inputs
+     * and m outputs, both subgraphs must have n inputs and m outputs with the same
+     * types, ranks, dimensions, scales,
+     * zeroPoints, and extraParams as the corresponding operation
+     * inputs and outputs.
+     * All of the operands mentioned must have fully specified dimensions.
+     *
+     * Inputs:
+     * * 0: A value of type {@link OperandType::TENSOR_BOOL8} and shape [1]
+     *      that determines which of the two referenced subgraphs to execute.
+     *      The operand must have fully specified dimensions.
+     * * 1: A {@link OperandType::SUBGRAPH} reference to the subgraph to be
+     *      executed if the condition is true.
+     * * 2: A {@link OperandType::SUBGRAPH} reference to the subgraph to be
+     *      executed if the condition is false.
+     * * 3 ~ (n + 2): Inputs to be passed to the subgraph selected for execution.
+     *
+     * Outputs:
+     * * 0 ~ (m - 1): Outputs produced by the selected subgraph.
+     */
+    IF = 96,
+    /**
+     * Executes the body subgraph until the condition subgraph outputs false.
+     *
+     * The inputs to this operation are the condition subgraph, the body subgraph,
+     * and operand values for the first iteration of the loop. The values are
+     * implicitly split into three groups of input-output, state-only, and
+     * input-only values, as described below.
+     *
+     * The outputs of this operation are the final values of input-output
+     * operands.
+     *
+     * Both the condition and body subgraph receive (m + k + n) inputs.
+     * * The first m (m >= 1) inputs are input-output operands. For the first
+     *   iteration, these are initialized from the corresponding inputs of the
+     *   WHILE operation. In subsequent iterations, their values come from the
+     *   corresponding outputs of the body subgraph produced during the previous
+     *   iteration.
+     * * The next k (k >= 0) inputs are state-only operands. They are similar to
+     *   the input-output operands, except that their values are no longer
+     *   available after the loop terminates.
+     * * The last n (n >= 0) inputs are input-only operands. Their values come
+     *   from the corresponding inputs of the WHILE operation.
+     *
+     * The body subgraph produces (m + k) outputs.
+     * * The first m outputs are input-output operands. They become the outputs
+     *   of the WHILE operation when a termination condition is reached.
+     * * The last k outputs are state-only operands. Their values are no longer
+     *   available after the loop terminates.
+     *
+     * The numbers m, k, and n are inferred by the driver as follows:
+     *     m = (WHILE operation output count)
+     *     k = (body subgraph output count) - m
+     *     n = (body subgraph input count) - m - k
+     *
+     * The pseudo-code below illustrates the flow of a WHILE operation with
+     * inputs condition, body, initial_input_output, initial_state, input_only
+     * (m = 1, k = 1, n = 1):
+     *
+     *     input_output = initial_input_output
+     *     state = initial_state
+     *     while condition(input_output, state, input_only):
+     *         input_output, state = body(input_output, state, input_only)
+     *     return input_output
+     *
+     * Inputs:
+     * * 0: A {@link OperandType::SUBGRAPH} reference to the condition
+     *      subgraph. The subgraph must have (m + k + n) inputs with
+     *      the same types, ranks, dimensions,
+     *      scales, zeroPoints, and extraParams as the
+     *      corresponding inputs of the WHILE operation and exactly one output
+     *      of {@link OperandType::TENSOR_BOOL8} and shape [1].
+     *      All of the operands mentioned must have fully specified dimensions.
+     * * 1: A {@link OperandType::SUBGRAPH} reference to the body subgraph.
+     *      The subgraph must have (m + k + n) inputs and (m + k) outputs with
+     *      the same types, ranks, dimensions,
+     *      scales, zeroPoints, and extraParams as the
+     *      corresponding inputs and outputs of the WHILE operation.
+     *      All of the operands mentioned must have fully specified dimensions.
+     * * (m inputs): Initial values for input-output operands.
+     * * (k inputs): Initial values for state-only operands.
+     * * (n inputs): Values for input-only operands.
+     *
+     * Outputs:
+     * * 0 ~ (m - 1): Outputs produced by the loop.
+     */
+    WHILE = 97,
+    /**
+     * Computes exponential linear activation on the input tensor element-wise.
+     *
+     * The output is calculated using the following formula:
+     *
+     *     ELU(x) = max(0, x) + min(0, alpha * (exp(x) - 1))
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input. May be zero-sized.
+     * * 1: A scalar, specifying the alpha parameter.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16},
+     *      the alpha value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32},
+     *      the alpha value must be of {@link OperandType::FLOAT32}.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape and type as input0.
+     */
+    ELU = 98,
+    /**
+     * Computes hard-swish activation on the input tensor element-wise.
+     *
+     * Hard swish activation is introduced in
+     * https://arxiv.org/pdf/1905.02244.pdf
+     *
+     * The output is calculated using the following formula:
+     *
+     *     h-swish(x) = x * max(0, min(6, (x + 3))) / 6
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input. May be zero-sized.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape and type as input0.
+     *      Scale and zero point of this tensor may be different from the input
+     *      tensor's parameters.
+     */
+    HARD_SWISH = 99,
+    /**
+     * Creates a tensor filled with a scalar value.
+     *
+     * Supported output tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: A 1-D tensor, specifying the desired output tensor shape.
+     * * 1: A scalar, specifying the value to fill the output tensors with.
+     *      For output tensor of {@link OperandType::TENSOR_FLOAT16},
+     *      the scalar must be of {@link OperandType::FLOAT16}.
+     *      For output tensor of {@link OperandType::TENSOR_FLOAT32},
+     *      the scalar must be of {@link OperandType::FLOAT32}.
+     *      For output tensor of {@link OperandType::TENSOR_INT32},
+     *      the scalar must be of {@link OperandType::INT32}.
+     *
+     * Outputs:
+     * * 0: The output tensor.
+     */
+    FILL = 100,
+    /**
+     * Returns the rank of a tensor.
+     *
+     * The rank of a tensor is the number of dimensions in it. Also known as
+     * "order", "degree", "ndims".
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT16_SYMM}
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     * * {@link OperandType::TENSOR_QUANT16_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_SYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     *
+     * Supported tensor rank: from 1.
+     *
+     * Inputs:
+     * * 0: The input tensor.
+     *
+     * Outputs:
+     * * 0: A scalar of {@link OperandType::INT32}, specifying the rank
+     *      of the input tensor.
+     */
+    RANK = 101,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/OutputShape.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/OutputShape.aidl
new file mode 100644
index 0000000..d206a25
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/OutputShape.aidl
@@ -0,0 +1,33 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Describes the shape information of an output operand after execution.
+ */
+@VintfStability
+parcelable OutputShape {
+    /**
+     * Dimensions of the operand.
+     */
+    int[] dimensions;
+    /**
+     * Whether the provided buffer size is sufficient for the output.
+     */
+    boolean isSufficient;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/PerformanceInfo.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/PerformanceInfo.aidl
new file mode 100644
index 0000000..6ee29c2
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/PerformanceInfo.aidl
@@ -0,0 +1,37 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Performance information for the reference workload.
+ *
+ * Used by a driver to report its performance characteristics.
+ */
+@VintfStability
+parcelable PerformanceInfo {
+    /**
+     * Ratio of the time taken by the driver to execute the workload compared to the time the CPU
+     * would take for the same workload. A lower number is better.
+     */
+    float execTime;
+    /**
+     * Ratio of the energy used by the driver compared to what the CPU would use for doing the same
+     * workload. A lower number is better.
+     */
+    float powerUsage;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Priority.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Priority.aidl
new file mode 100644
index 0000000..fe87598
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Priority.aidl
@@ -0,0 +1,29 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Priority given to a prepared model for execution.
+ */
+@VintfStability
+@Backing(type="int")
+enum Priority {
+    LOW,
+    MEDIUM,
+    HIGH,
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Request.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Request.aidl
new file mode 100644
index 0000000..396ff30
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Request.aidl
@@ -0,0 +1,55 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.RequestArgument;
+import android.hardware.neuralnetworks.RequestMemoryPool;
+
+/**
+ * Inputs to be sent to and outputs to be retrieved from a prepared model.
+ *
+ * A Request serves two primary tasks:
+ * 1) Provides the input and output data to be used when executing the model.
+ * 2) Specifies any updates to the input operand metadata that were left unspecified at model
+ *    preparation time.
+ *
+ * An output must not overlap with any other output, with an input, or with an operand of lifetime
+ * CONSTANT_POOL.
+ */
+@VintfStability
+parcelable Request {
+    /**
+     * Input data and information to be used in the execution of a prepared model.
+     *
+     * The index of the input corresponds to the index in Model.main.inputIndexes.
+     *   E.g., input[i] corresponds to Model.main.inputIndexes[i].
+     */
+    RequestArgument[] inputs;
+    /**
+     * Output data and information to be used in the execution of a prepared model.
+     *
+     * The index of the output corresponds to the index in Model.main.outputIndexes.
+     *   E.g., output[i] corresponds to Model.main.outputIndexes[i].
+     */
+    RequestArgument[] outputs;
+    /**
+     * A collection of memory pools containing operand data for both the inputs and the outputs to a
+     * model.
+     */
+    RequestMemoryPool[] pools;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/RequestArgument.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/RequestArgument.aidl
new file mode 100644
index 0000000..e615fa6
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/RequestArgument.aidl
@@ -0,0 +1,53 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.DataLocation;
+
+/**
+ * Metadata information specifying the location of the input or output data and any updates to the
+ * input or output operand.
+ */
+@VintfStability
+parcelable RequestArgument {
+    /**
+     * If true, the argument does not have a value. This can be used for operations that take
+     * optional arguments. If true, the fields of location are set to 0 and the dimensions vector is
+     * left empty.
+     */
+    boolean hasNoValue;
+    /**
+     * The location within one of the memory pools passed in the Request.
+     */
+    DataLocation location;
+    /**
+     * Updated dimension information.
+     *
+     * If dimensions.size() > 0, dimension information was provided along with the argument. This
+     * can be the case for models that accept inputs of varying size. This can't change the rank,
+     * just the value of the dimensions that were unspecified in the model. If dimensions.size() >
+     * 0, then all dimensions must be specified here; and any dimension that was specified in the
+     * model must have the same value here.
+     *
+     * If the dimensions in the model are not fully specified, then they must be fully specified
+     * here, unless hasNoValue is set to true. If the dimensions in the model are fully specified,
+     * then either dimensions.size() may be 0, or the dimensions in the model must be identical to
+     * the dimensions here.
+     */
+    int[] dimensions;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/RequestMemoryPool.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/RequestMemoryPool.aidl
new file mode 100644
index 0000000..166746d
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/RequestMemoryPool.aidl
@@ -0,0 +1,36 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.Memory;
+
+/**
+ * A memory pool.
+ */
+@VintfStability
+union RequestMemoryPool {
+    /**
+     * Specifies a client-managed shared memory pool.
+     */
+    Memory pool;
+    /**
+     * Specifies a driver-managed buffer. It is the token returned from IDevice::allocate, and is
+     * specific to the IDevice object.
+     */
+    int token;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Subgraph.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Subgraph.aidl
new file mode 100644
index 0000000..0a76285
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Subgraph.aidl
@@ -0,0 +1,51 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.Operand;
+import android.hardware.neuralnetworks.Operation;
+
+/**
+ * An excerpt of the execution graph.
+ */
+@VintfStability
+parcelable Subgraph {
+    /**
+     * All operands included in the subgraph.
+     */
+    Operand[] operands;
+    /**
+     * All operations included in the subgraph.
+     *
+     * The operations are sorted into execution order. Every operand with lifetime SUBGRAPH_OUTPUT
+     * or TEMPORARY_VARIABLE must be written before it is read.
+     */
+    Operation[] operations;
+    /**
+     * Input indexes of the subgraph. There must be at least one.
+     *
+     * Each value corresponds to the index of the operand in "operands".
+     */
+    int[] inputIndexes;
+    /**
+     * Output indexes of the subgraph. There must be at least one.
+     *
+     * Each value corresponds to the index of the operand in "operands".
+     */
+    int[] outputIndexes;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/SymmPerChannelQuantParams.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/SymmPerChannelQuantParams.aidl
new file mode 100644
index 0000000..8ae41a4
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/SymmPerChannelQuantParams.aidl
@@ -0,0 +1,33 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Parameters for TENSOR_QUANT8_SYMM_PER_CHANNEL operand.
+ */
+@VintfStability
+parcelable SymmPerChannelQuantParams {
+    /**
+     * Array of scaling values for each channel. Each value must be greater than zero.
+     */
+    float[] scales;
+    /**
+     * Index of the channel dimension
+     */
+    int channelDim;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/Timing.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/Timing.aidl
new file mode 100644
index 0000000..b04f74e
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/Timing.aidl
@@ -0,0 +1,37 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+
+package android.hardware.neuralnetworks;
+
+/**
+ * Timing information measured during execution. Each time is a duration from the beginning of some
+ * task to the end of that task, including time when that task is not active (for example, preempted
+ * by some other task, or waiting for some resource to become available).
+ *
+ * Times are measured in nanoseconds. When a time is not available, it must be reported as -1.
+ */
+@VintfStability
+parcelable Timing {
+    /**
+     * Execution time on device (not driver, which runs on host processor).
+     */
+    long timeOnDevice;
+    /**
+     * Execution time in driver (including time on device).
+     */
+    long timeInDriver;
+}
diff --git a/neuralnetworks/aidl/utils/Android.bp b/neuralnetworks/aidl/utils/Android.bp
new file mode 100644
index 0000000..56017da
--- /dev/null
+++ b/neuralnetworks/aidl/utils/Android.bp
@@ -0,0 +1,32 @@
+//
+// Copyright (C) 2021 The Android Open Source Project
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+
+cc_library_static {
+    name: "neuralnetworks_utils_hal_aidl",
+    defaults: ["neuralnetworks_utils_defaults"],
+    srcs: ["src/*"],
+    local_include_dirs: ["include/nnapi/hal/aidl/"],
+    export_include_dirs: ["include"],
+    static_libs: [
+        "neuralnetworks_types",
+        "neuralnetworks_utils_hal_common",
+    ],
+    shared_libs: [
+        "libhidlbase",
+        "android.hardware.neuralnetworks-V1-ndk_platform",
+        "libbinder_ndk",
+    ],
+}
diff --git a/neuralnetworks/aidl/utils/OWNERS b/neuralnetworks/aidl/utils/OWNERS
new file mode 100644
index 0000000..e4feee3
--- /dev/null
+++ b/neuralnetworks/aidl/utils/OWNERS
@@ -0,0 +1,11 @@
+# Neuralnetworks team
+butlermichael@google.com
+dgross@google.com
+galarragas@google.com
+jeanluc@google.com
+levp@google.com
+miaowang@google.com
+pszczepaniak@google.com
+slavash@google.com
+vddang@google.com
+xusongw@google.com
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Conversions.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Conversions.h
new file mode 100644
index 0000000..35de5be
--- /dev/null
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Conversions.h
@@ -0,0 +1,134 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_CONVERSIONS_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_CONVERSIONS_H
+
+#include <aidl/android/hardware/neuralnetworks/BufferDesc.h>
+#include <aidl/android/hardware/neuralnetworks/BufferRole.h>
+#include <aidl/android/hardware/neuralnetworks/Capabilities.h>
+#include <aidl/android/hardware/neuralnetworks/DataLocation.h>
+#include <aidl/android/hardware/neuralnetworks/DeviceType.h>
+#include <aidl/android/hardware/neuralnetworks/ErrorStatus.h>
+#include <aidl/android/hardware/neuralnetworks/ExecutionPreference.h>
+#include <aidl/android/hardware/neuralnetworks/Extension.h>
+#include <aidl/android/hardware/neuralnetworks/ExtensionNameAndPrefix.h>
+#include <aidl/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.h>
+#include <aidl/android/hardware/neuralnetworks/Memory.h>
+#include <aidl/android/hardware/neuralnetworks/Model.h>
+#include <aidl/android/hardware/neuralnetworks/Operand.h>
+#include <aidl/android/hardware/neuralnetworks/OperandExtraParams.h>
+#include <aidl/android/hardware/neuralnetworks/OperandLifeTime.h>
+#include <aidl/android/hardware/neuralnetworks/OperandPerformance.h>
+#include <aidl/android/hardware/neuralnetworks/OperandType.h>
+#include <aidl/android/hardware/neuralnetworks/Operation.h>
+#include <aidl/android/hardware/neuralnetworks/OperationType.h>
+#include <aidl/android/hardware/neuralnetworks/OutputShape.h>
+#include <aidl/android/hardware/neuralnetworks/PerformanceInfo.h>
+#include <aidl/android/hardware/neuralnetworks/Priority.h>
+#include <aidl/android/hardware/neuralnetworks/Request.h>
+#include <aidl/android/hardware/neuralnetworks/RequestArgument.h>
+#include <aidl/android/hardware/neuralnetworks/RequestMemoryPool.h>
+#include <aidl/android/hardware/neuralnetworks/Subgraph.h>
+#include <aidl/android/hardware/neuralnetworks/SymmPerChannelQuantParams.h>
+#include <aidl/android/hardware/neuralnetworks/Timing.h>
+
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+
+#include <vector>
+
+namespace android::nn {
+
+GeneralResult<OperandType> unvalidatedConvert(const aidl_hal::OperandType& operandType);
+GeneralResult<OperationType> unvalidatedConvert(const aidl_hal::OperationType& operationType);
+GeneralResult<DeviceType> unvalidatedConvert(const aidl_hal::DeviceType& deviceType);
+GeneralResult<Priority> unvalidatedConvert(const aidl_hal::Priority& priority);
+GeneralResult<Capabilities> unvalidatedConvert(const aidl_hal::Capabilities& capabilities);
+GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
+        const aidl_hal::OperandPerformance& operandPerformance);
+GeneralResult<Capabilities::PerformanceInfo> unvalidatedConvert(
+        const aidl_hal::PerformanceInfo& performanceInfo);
+GeneralResult<DataLocation> unvalidatedConvert(const aidl_hal::DataLocation& location);
+GeneralResult<Operand> unvalidatedConvert(const aidl_hal::Operand& operand);
+GeneralResult<Operand::ExtraParams> unvalidatedConvert(
+        const std::optional<aidl_hal::OperandExtraParams>& optionalExtraParams);
+GeneralResult<Operand::LifeTime> unvalidatedConvert(
+        const aidl_hal::OperandLifeTime& operandLifeTime);
+GeneralResult<Operand::SymmPerChannelQuantParams> unvalidatedConvert(
+        const aidl_hal::SymmPerChannelQuantParams& symmPerChannelQuantParams);
+GeneralResult<Operation> unvalidatedConvert(const aidl_hal::Operation& operation);
+GeneralResult<Model> unvalidatedConvert(const aidl_hal::Model& model);
+GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
+        const aidl_hal::ExtensionNameAndPrefix& extensionNameAndPrefix);
+GeneralResult<Model::OperandValues> unvalidatedConvert(const std::vector<uint8_t>& operandValues);
+GeneralResult<Model::Subgraph> unvalidatedConvert(const aidl_hal::Subgraph& subgraph);
+GeneralResult<OutputShape> unvalidatedConvert(const aidl_hal::OutputShape& outputShape);
+GeneralResult<MeasureTiming> unvalidatedConvert(bool measureTiming);
+GeneralResult<Memory> unvalidatedConvert(const aidl_hal::Memory& memory);
+GeneralResult<Timing> unvalidatedConvert(const aidl_hal::Timing& timing);
+GeneralResult<BufferDesc> unvalidatedConvert(const aidl_hal::BufferDesc& bufferDesc);
+GeneralResult<BufferRole> unvalidatedConvert(const aidl_hal::BufferRole& bufferRole);
+GeneralResult<Request> unvalidatedConvert(const aidl_hal::Request& request);
+GeneralResult<Request::Argument> unvalidatedConvert(
+        const aidl_hal::RequestArgument& requestArgument);
+GeneralResult<Request::MemoryPool> unvalidatedConvert(
+        const aidl_hal::RequestMemoryPool& memoryPool);
+GeneralResult<ErrorStatus> unvalidatedConvert(const aidl_hal::ErrorStatus& errorStatus);
+GeneralResult<ExecutionPreference> unvalidatedConvert(
+        const aidl_hal::ExecutionPreference& executionPreference);
+GeneralResult<Extension> unvalidatedConvert(const aidl_hal::Extension& extension);
+GeneralResult<Extension::OperandTypeInformation> unvalidatedConvert(
+        const aidl_hal::ExtensionOperandTypeInformation& operandTypeInformation);
+GeneralResult<SharedHandle> unvalidatedConvert(
+        const ::aidl::android::hardware::common::NativeHandle& handle);
+
+GeneralResult<ExecutionPreference> convert(
+        const aidl_hal::ExecutionPreference& executionPreference);
+GeneralResult<Memory> convert(const aidl_hal::Memory& memory);
+GeneralResult<Model> convert(const aidl_hal::Model& model);
+GeneralResult<Operand> convert(const aidl_hal::Operand& operand);
+GeneralResult<OperandType> convert(const aidl_hal::OperandType& operandType);
+GeneralResult<Priority> convert(const aidl_hal::Priority& priority);
+GeneralResult<Request::MemoryPool> convert(const aidl_hal::RequestMemoryPool& memoryPool);
+GeneralResult<Request> convert(const aidl_hal::Request& request);
+
+GeneralResult<std::vector<Operation>> convert(const std::vector<aidl_hal::Operation>& outputShapes);
+GeneralResult<std::vector<Memory>> convert(const std::vector<aidl_hal::Memory>& memories);
+
+GeneralResult<std::vector<uint32_t>> toUnsigned(const std::vector<int32_t>& vec);
+
+}  // namespace android::nn
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+namespace nn = ::android::nn;
+
+nn::GeneralResult<Memory> unvalidatedConvert(const nn::Memory& memory);
+nn::GeneralResult<OutputShape> unvalidatedConvert(const nn::OutputShape& outputShape);
+nn::GeneralResult<ErrorStatus> unvalidatedConvert(const nn::ErrorStatus& errorStatus);
+
+nn::GeneralResult<Memory> convert(const nn::Memory& memory);
+nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& errorStatus);
+nn::GeneralResult<std::vector<OutputShape>> convert(
+        const std::vector<nn::OutputShape>& outputShapes);
+
+nn::GeneralResult<std::vector<int32_t>> toSigned(const std::vector<uint32_t>& vec);
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_CONVERSIONS_H
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
new file mode 100644
index 0000000..79b511d
--- /dev/null
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
@@ -0,0 +1,57 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_H
+
+#include "nnapi/hal/aidl/Conversions.h"
+
+#include <android-base/logging.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+constexpr auto kDefaultPriority = Priority::MEDIUM;
+constexpr auto kVersion = nn::Version::ANDROID_S;
+
+template <typename Type>
+nn::Result<void> validate(const Type& halObject) {
+    const auto maybeCanonical = nn::convert(halObject);
+    if (!maybeCanonical.has_value()) {
+        return nn::error() << maybeCanonical.error().message;
+    }
+    return {};
+}
+
+template <typename Type>
+bool valid(const Type& halObject) {
+    const auto result = utils::validate(halObject);
+    if (!result.has_value()) {
+        LOG(ERROR) << result.error();
+    }
+    return result.has_value();
+}
+
+nn::GeneralResult<Memory> clone(const Memory& memory);
+nn::GeneralResult<Request> clone(const Request& request);
+nn::GeneralResult<RequestMemoryPool> clone(const RequestMemoryPool& requestPool);
+nn::GeneralResult<Model> clone(const Model& model);
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_H
diff --git a/neuralnetworks/aidl/utils/src/Assertions.cpp b/neuralnetworks/aidl/utils/src/Assertions.cpp
new file mode 100644
index 0000000..0e88091
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Assertions.cpp
@@ -0,0 +1,269 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <aidl/android/hardware/neuralnetworks/DeviceType.h>
+#include <aidl/android/hardware/neuralnetworks/ErrorStatus.h>
+#include <aidl/android/hardware/neuralnetworks/ExecutionPreference.h>
+#include <aidl/android/hardware/neuralnetworks/FusedActivationFunc.h>
+#include <aidl/android/hardware/neuralnetworks/IDevice.h>
+#include <aidl/android/hardware/neuralnetworks/OperandLifeTime.h>
+#include <aidl/android/hardware/neuralnetworks/OperandType.h>
+#include <aidl/android/hardware/neuralnetworks/OperationType.h>
+#include <aidl/android/hardware/neuralnetworks/Priority.h>
+
+#include <ControlFlow.h>
+#include <nnapi/OperandTypes.h>
+#include <nnapi/OperationTypes.h>
+#include <nnapi/Types.h>
+#include <type_traits>
+
+namespace {
+
+#define COMPARE_ENUMS_TYPES(lhsType, rhsType)                                                   \
+    static_assert(                                                                              \
+            std::is_same_v<                                                                     \
+                    std::underlying_type_t<::aidl::android::hardware::neuralnetworks::lhsType>, \
+                    std::underlying_type_t<::android::nn::rhsType>>,                            \
+            "::aidl::android::hardware::neuralnetworks::" #lhsType                              \
+            " does not have the same underlying type as ::android::nn::" #rhsType)
+
+COMPARE_ENUMS_TYPES(OperandType, OperandType);
+COMPARE_ENUMS_TYPES(OperationType, OperationType);
+COMPARE_ENUMS_TYPES(Priority, Priority);
+COMPARE_ENUMS_TYPES(OperandLifeTime, Operand::LifeTime);
+COMPARE_ENUMS_TYPES(ErrorStatus, ErrorStatus);
+
+#undef COMPARE_ENUMS_TYPES
+
+#define COMPARE_ENUMS_FULL(lhsSymbol, rhsSymbol, lhsType, rhsType)                               \
+    static_assert(                                                                               \
+            static_cast<                                                                         \
+                    std::underlying_type_t<::aidl::android::hardware::neuralnetworks::lhsType>>( \
+                    ::aidl::android::hardware::neuralnetworks::lhsType::lhsSymbol) ==            \
+                    static_cast<std::underlying_type_t<::android::nn::rhsType>>(                 \
+                            ::android::nn::rhsType::rhsSymbol),                                  \
+            "::aidl::android::hardware::neuralnetworks::" #lhsType "::" #lhsSymbol               \
+            " does not match ::android::nn::" #rhsType "::" #rhsSymbol)
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, OperandType, OperandType)
+
+COMPARE_ENUMS(FLOAT32);
+COMPARE_ENUMS(INT32);
+COMPARE_ENUMS(UINT32);
+COMPARE_ENUMS(TENSOR_FLOAT32);
+COMPARE_ENUMS(TENSOR_INT32);
+COMPARE_ENUMS(TENSOR_QUANT8_ASYMM);
+COMPARE_ENUMS(BOOL);
+COMPARE_ENUMS(TENSOR_QUANT16_SYMM);
+COMPARE_ENUMS(TENSOR_FLOAT16);
+COMPARE_ENUMS(TENSOR_BOOL8);
+COMPARE_ENUMS(FLOAT16);
+COMPARE_ENUMS(TENSOR_QUANT8_SYMM_PER_CHANNEL);
+COMPARE_ENUMS(TENSOR_QUANT16_ASYMM);
+COMPARE_ENUMS(TENSOR_QUANT8_SYMM);
+COMPARE_ENUMS(TENSOR_QUANT8_ASYMM_SIGNED);
+COMPARE_ENUMS(SUBGRAPH);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, OperationType, OperationType)
+
+COMPARE_ENUMS(ADD);
+COMPARE_ENUMS(AVERAGE_POOL_2D);
+COMPARE_ENUMS(CONCATENATION);
+COMPARE_ENUMS(CONV_2D);
+COMPARE_ENUMS(DEPTHWISE_CONV_2D);
+COMPARE_ENUMS(DEPTH_TO_SPACE);
+COMPARE_ENUMS(DEQUANTIZE);
+COMPARE_ENUMS(EMBEDDING_LOOKUP);
+COMPARE_ENUMS(FLOOR);
+COMPARE_ENUMS(FULLY_CONNECTED);
+COMPARE_ENUMS(HASHTABLE_LOOKUP);
+COMPARE_ENUMS(L2_NORMALIZATION);
+COMPARE_ENUMS(L2_POOL_2D);
+COMPARE_ENUMS(LOCAL_RESPONSE_NORMALIZATION);
+COMPARE_ENUMS(LOGISTIC);
+COMPARE_ENUMS(LSH_PROJECTION);
+COMPARE_ENUMS(LSTM);
+COMPARE_ENUMS(MAX_POOL_2D);
+COMPARE_ENUMS(MUL);
+COMPARE_ENUMS(RELU);
+COMPARE_ENUMS(RELU1);
+COMPARE_ENUMS(RELU6);
+COMPARE_ENUMS(RESHAPE);
+COMPARE_ENUMS(RESIZE_BILINEAR);
+COMPARE_ENUMS(RNN);
+COMPARE_ENUMS(SOFTMAX);
+COMPARE_ENUMS(SPACE_TO_DEPTH);
+COMPARE_ENUMS(SVDF);
+COMPARE_ENUMS(TANH);
+COMPARE_ENUMS(BATCH_TO_SPACE_ND);
+COMPARE_ENUMS(DIV);
+COMPARE_ENUMS(MEAN);
+COMPARE_ENUMS(PAD);
+COMPARE_ENUMS(SPACE_TO_BATCH_ND);
+COMPARE_ENUMS(SQUEEZE);
+COMPARE_ENUMS(STRIDED_SLICE);
+COMPARE_ENUMS(SUB);
+COMPARE_ENUMS(TRANSPOSE);
+COMPARE_ENUMS(ABS);
+COMPARE_ENUMS(ARGMAX);
+COMPARE_ENUMS(ARGMIN);
+COMPARE_ENUMS(AXIS_ALIGNED_BBOX_TRANSFORM);
+COMPARE_ENUMS(BIDIRECTIONAL_SEQUENCE_LSTM);
+COMPARE_ENUMS(BIDIRECTIONAL_SEQUENCE_RNN);
+COMPARE_ENUMS(BOX_WITH_NMS_LIMIT);
+COMPARE_ENUMS(CAST);
+COMPARE_ENUMS(CHANNEL_SHUFFLE);
+COMPARE_ENUMS(DETECTION_POSTPROCESSING);
+COMPARE_ENUMS(EQUAL);
+COMPARE_ENUMS(EXP);
+COMPARE_ENUMS(EXPAND_DIMS);
+COMPARE_ENUMS(GATHER);
+COMPARE_ENUMS(GENERATE_PROPOSALS);
+COMPARE_ENUMS(GREATER);
+COMPARE_ENUMS(GREATER_EQUAL);
+COMPARE_ENUMS(GROUPED_CONV_2D);
+COMPARE_ENUMS(HEATMAP_MAX_KEYPOINT);
+COMPARE_ENUMS(INSTANCE_NORMALIZATION);
+COMPARE_ENUMS(LESS);
+COMPARE_ENUMS(LESS_EQUAL);
+COMPARE_ENUMS(LOG);
+COMPARE_ENUMS(LOGICAL_AND);
+COMPARE_ENUMS(LOGICAL_NOT);
+COMPARE_ENUMS(LOGICAL_OR);
+COMPARE_ENUMS(LOG_SOFTMAX);
+COMPARE_ENUMS(MAXIMUM);
+COMPARE_ENUMS(MINIMUM);
+COMPARE_ENUMS(NEG);
+COMPARE_ENUMS(NOT_EQUAL);
+COMPARE_ENUMS(PAD_V2);
+COMPARE_ENUMS(POW);
+COMPARE_ENUMS(PRELU);
+COMPARE_ENUMS(QUANTIZE);
+COMPARE_ENUMS(QUANTIZED_16BIT_LSTM);
+COMPARE_ENUMS(RANDOM_MULTINOMIAL);
+COMPARE_ENUMS(REDUCE_ALL);
+COMPARE_ENUMS(REDUCE_ANY);
+COMPARE_ENUMS(REDUCE_MAX);
+COMPARE_ENUMS(REDUCE_MIN);
+COMPARE_ENUMS(REDUCE_PROD);
+COMPARE_ENUMS(REDUCE_SUM);
+COMPARE_ENUMS(ROI_ALIGN);
+COMPARE_ENUMS(ROI_POOLING);
+COMPARE_ENUMS(RSQRT);
+COMPARE_ENUMS(SELECT);
+COMPARE_ENUMS(SIN);
+COMPARE_ENUMS(SLICE);
+COMPARE_ENUMS(SPLIT);
+COMPARE_ENUMS(SQRT);
+COMPARE_ENUMS(TILE);
+COMPARE_ENUMS(TOPK_V2);
+COMPARE_ENUMS(TRANSPOSE_CONV_2D);
+COMPARE_ENUMS(UNIDIRECTIONAL_SEQUENCE_LSTM);
+COMPARE_ENUMS(UNIDIRECTIONAL_SEQUENCE_RNN);
+COMPARE_ENUMS(RESIZE_NEAREST_NEIGHBOR);
+COMPARE_ENUMS(QUANTIZED_LSTM);
+COMPARE_ENUMS(IF);
+COMPARE_ENUMS(WHILE);
+COMPARE_ENUMS(ELU);
+COMPARE_ENUMS(HARD_SWISH);
+COMPARE_ENUMS(FILL);
+COMPARE_ENUMS(RANK);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, Priority, Priority)
+
+COMPARE_ENUMS(LOW);
+COMPARE_ENUMS(MEDIUM);
+COMPARE_ENUMS(HIGH);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(lhsSymbol, rhsSymbol) \
+    COMPARE_ENUMS_FULL(lhsSymbol, rhsSymbol, OperandLifeTime, Operand::LifeTime)
+
+COMPARE_ENUMS(TEMPORARY_VARIABLE, TEMPORARY_VARIABLE);
+COMPARE_ENUMS(SUBGRAPH_INPUT, SUBGRAPH_INPUT);
+COMPARE_ENUMS(SUBGRAPH_OUTPUT, SUBGRAPH_OUTPUT);
+COMPARE_ENUMS(CONSTANT_COPY, CONSTANT_COPY);
+COMPARE_ENUMS(CONSTANT_POOL, CONSTANT_REFERENCE);
+COMPARE_ENUMS(NO_VALUE, NO_VALUE);
+COMPARE_ENUMS(SUBGRAPH, SUBGRAPH);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, ErrorStatus, ErrorStatus)
+
+COMPARE_ENUMS(NONE);
+COMPARE_ENUMS(DEVICE_UNAVAILABLE);
+COMPARE_ENUMS(GENERAL_FAILURE);
+COMPARE_ENUMS(OUTPUT_INSUFFICIENT_SIZE);
+COMPARE_ENUMS(INVALID_ARGUMENT);
+COMPARE_ENUMS(MISSED_DEADLINE_TRANSIENT);
+COMPARE_ENUMS(MISSED_DEADLINE_PERSISTENT);
+COMPARE_ENUMS(RESOURCE_EXHAUSTED_TRANSIENT);
+COMPARE_ENUMS(RESOURCE_EXHAUSTED_PERSISTENT);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) \
+    COMPARE_ENUMS_FULL(symbol, symbol, ExecutionPreference, ExecutionPreference)
+
+COMPARE_ENUMS(LOW_POWER);
+COMPARE_ENUMS(FAST_SINGLE_ANSWER);
+COMPARE_ENUMS(SUSTAINED_SPEED);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) COMPARE_ENUMS_FULL(symbol, symbol, DeviceType, DeviceType)
+
+COMPARE_ENUMS(OTHER);
+COMPARE_ENUMS(CPU);
+COMPARE_ENUMS(GPU);
+COMPARE_ENUMS(ACCELERATOR);
+
+#undef COMPARE_ENUMS
+
+#define COMPARE_ENUMS(symbol) \
+    COMPARE_ENUMS_FULL(symbol, symbol, FusedActivationFunc, FusedActivationFunc)
+
+COMPARE_ENUMS(NONE);
+COMPARE_ENUMS(RELU);
+COMPARE_ENUMS(RELU1);
+COMPARE_ENUMS(RELU6);
+
+#undef COMPARE_ENUMS
+
+#undef COMPARE_ENUMS_FULL
+
+#define COMPARE_CONSTANTS(halSymbol, canonicalSymbol)                     \
+    static_assert(::aidl::android::hardware::neuralnetworks::halSymbol == \
+                  ::android::nn::canonicalSymbol);
+
+COMPARE_CONSTANTS(IDevice::BYTE_SIZE_OF_CACHE_TOKEN, kByteSizeOfCacheToken);
+COMPARE_CONSTANTS(IDevice::MAX_NUMBER_OF_CACHE_FILES, kMaxNumberOfCacheFiles);
+COMPARE_CONSTANTS(IDevice::EXTENSION_TYPE_HIGH_BITS_PREFIX, kExtensionPrefixBits - 1);
+COMPARE_CONSTANTS(IDevice::EXTENSION_TYPE_LOW_BITS_TYPE, kExtensionTypeBits);
+COMPARE_CONSTANTS(IPreparedModel::DEFAULT_LOOP_TIMEOUT_DURATION_NS,
+                  operation_while::kTimeoutNsDefault);
+COMPARE_CONSTANTS(IPreparedModel::MAXIMUM_LOOP_TIMEOUT_DURATION_NS,
+                  operation_while::kTimeoutNsMaximum);
+
+#undef COMPARE_CONSTANTS
+
+}  // anonymous namespace
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
new file mode 100644
index 0000000..0e93b02
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -0,0 +1,582 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Conversions.h"
+
+#include <aidl/android/hardware/common/NativeHandle.h>
+#include <android-base/logging.h>
+#include <nnapi/OperandTypes.h>
+#include <nnapi/OperationTypes.h>
+#include <nnapi/Result.h>
+#include <nnapi/SharedMemory.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <algorithm>
+#include <chrono>
+#include <functional>
+#include <iterator>
+#include <limits>
+#include <type_traits>
+#include <utility>
+
+#define VERIFY_NON_NEGATIVE(value) \
+    while (UNLIKELY(value < 0)) return NN_ERROR()
+
+namespace {
+
+template <typename Type>
+constexpr std::underlying_type_t<Type> underlyingType(Type value) {
+    return static_cast<std::underlying_type_t<Type>>(value);
+}
+
+constexpr auto kVersion = android::nn::Version::ANDROID_S;
+
+}  // namespace
+
+namespace android::nn {
+namespace {
+
+constexpr auto validOperandType(nn::OperandType operandType) {
+    switch (operandType) {
+        case nn::OperandType::FLOAT32:
+        case nn::OperandType::INT32:
+        case nn::OperandType::UINT32:
+        case nn::OperandType::TENSOR_FLOAT32:
+        case nn::OperandType::TENSOR_INT32:
+        case nn::OperandType::TENSOR_QUANT8_ASYMM:
+        case nn::OperandType::BOOL:
+        case nn::OperandType::TENSOR_QUANT16_SYMM:
+        case nn::OperandType::TENSOR_FLOAT16:
+        case nn::OperandType::TENSOR_BOOL8:
+        case nn::OperandType::FLOAT16:
+        case nn::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+        case nn::OperandType::TENSOR_QUANT16_ASYMM:
+        case nn::OperandType::TENSOR_QUANT8_SYMM:
+        case nn::OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
+        case nn::OperandType::SUBGRAPH:
+            return true;
+        case nn::OperandType::OEM:
+        case nn::OperandType::TENSOR_OEM_BYTE:
+            return false;
+    }
+    return nn::isExtension(operandType);
+}
+
+template <typename Input>
+using UnvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
+
+template <typename Type>
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+        const std::vector<Type>& arguments) {
+    std::vector<UnvalidatedConvertOutput<Type>> canonical;
+    canonical.reserve(arguments.size());
+    for (const auto& argument : arguments) {
+        canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
+    }
+    return canonical;
+}
+
+template <typename Type>
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const std::vector<Type>& arguments) {
+    return unvalidatedConvertVec(arguments);
+}
+
+template <typename Type>
+GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& halObject) {
+    auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
+    const auto maybeVersion = validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return canonical;
+}
+
+template <typename Type>
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> validatedConvert(
+        const std::vector<Type>& arguments) {
+    std::vector<UnvalidatedConvertOutput<Type>> canonical;
+    canonical.reserve(arguments.size());
+    for (const auto& argument : arguments) {
+        canonical.push_back(NN_TRY(validatedConvert(argument)));
+    }
+    return canonical;
+}
+
+}  // anonymous namespace
+
+GeneralResult<OperandType> unvalidatedConvert(const aidl_hal::OperandType& operandType) {
+    VERIFY_NON_NEGATIVE(underlyingType(operandType)) << "Negative operand types are not allowed.";
+    return static_cast<OperandType>(operandType);
+}
+
+GeneralResult<OperationType> unvalidatedConvert(const aidl_hal::OperationType& operationType) {
+    VERIFY_NON_NEGATIVE(underlyingType(operationType))
+            << "Negative operation types are not allowed.";
+    return static_cast<OperationType>(operationType);
+}
+
+GeneralResult<DeviceType> unvalidatedConvert(const aidl_hal::DeviceType& deviceType) {
+    return static_cast<DeviceType>(deviceType);
+}
+
+GeneralResult<Priority> unvalidatedConvert(const aidl_hal::Priority& priority) {
+    return static_cast<Priority>(priority);
+}
+
+GeneralResult<Capabilities> unvalidatedConvert(const aidl_hal::Capabilities& capabilities) {
+    const bool validOperandTypes = std::all_of(
+            capabilities.operandPerformance.begin(), capabilities.operandPerformance.end(),
+            [](const aidl_hal::OperandPerformance& operandPerformance) {
+                const auto maybeType = unvalidatedConvert(operandPerformance.type);
+                return !maybeType.has_value() ? false : validOperandType(maybeType.value());
+            });
+    if (!validOperandTypes) {
+        return NN_ERROR() << "Invalid OperandType when unvalidatedConverting OperandPerformance in "
+                             "Capabilities";
+    }
+
+    auto operandPerformance = NN_TRY(unvalidatedConvert(capabilities.operandPerformance));
+    auto table = NN_TRY(hal::utils::makeGeneralFailure(
+            Capabilities::OperandPerformanceTable::create(std::move(operandPerformance)),
+            nn::ErrorStatus::GENERAL_FAILURE));
+
+    return Capabilities{
+            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
+            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .operandPerformance = std::move(table),
+            .ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance)),
+            .whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance)),
+    };
+}
+
+GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
+        const aidl_hal::OperandPerformance& operandPerformance) {
+    return Capabilities::OperandPerformance{
+            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
+            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
+    };
+}
+
+GeneralResult<Capabilities::PerformanceInfo> unvalidatedConvert(
+        const aidl_hal::PerformanceInfo& performanceInfo) {
+    return Capabilities::PerformanceInfo{
+            .execTime = performanceInfo.execTime,
+            .powerUsage = performanceInfo.powerUsage,
+    };
+}
+
+GeneralResult<DataLocation> unvalidatedConvert(const aidl_hal::DataLocation& location) {
+    VERIFY_NON_NEGATIVE(location.poolIndex) << "DataLocation: pool index must not be negative";
+    VERIFY_NON_NEGATIVE(location.offset) << "DataLocation: offset must not be negative";
+    VERIFY_NON_NEGATIVE(location.length) << "DataLocation: length must not be negative";
+    if (location.offset > std::numeric_limits<uint32_t>::max()) {
+        return NN_ERROR() << "DataLocation: offset must be <= std::numeric_limits<uint32_t>::max()";
+    }
+    if (location.length > std::numeric_limits<uint32_t>::max()) {
+        return NN_ERROR() << "DataLocation: length must be <= std::numeric_limits<uint32_t>::max()";
+    }
+    return DataLocation{
+            .poolIndex = static_cast<uint32_t>(location.poolIndex),
+            .offset = static_cast<uint32_t>(location.offset),
+            .length = static_cast<uint32_t>(location.length),
+    };
+}
+
+GeneralResult<Operation> unvalidatedConvert(const aidl_hal::Operation& operation) {
+    return Operation{
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .inputs = NN_TRY(toUnsigned(operation.inputs)),
+            .outputs = NN_TRY(toUnsigned(operation.outputs)),
+    };
+}
+
+GeneralResult<Operand::LifeTime> unvalidatedConvert(
+        const aidl_hal::OperandLifeTime& operandLifeTime) {
+    return static_cast<Operand::LifeTime>(operandLifeTime);
+}
+
+GeneralResult<Operand> unvalidatedConvert(const aidl_hal::Operand& operand) {
+    return Operand{
+            .type = NN_TRY(unvalidatedConvert(operand.type)),
+            .dimensions = NN_TRY(toUnsigned(operand.dimensions)),
+            .scale = operand.scale,
+            .zeroPoint = operand.zeroPoint,
+            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+            .location = NN_TRY(unvalidatedConvert(operand.location)),
+            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+    };
+}
+
+GeneralResult<Operand::ExtraParams> unvalidatedConvert(
+        const std::optional<aidl_hal::OperandExtraParams>& optionalExtraParams) {
+    if (!optionalExtraParams.has_value()) {
+        return Operand::NoParams{};
+    }
+    const auto& extraParams = optionalExtraParams.value();
+    using Tag = aidl_hal::OperandExtraParams::Tag;
+    switch (extraParams.getTag()) {
+        case Tag::channelQuant:
+            return unvalidatedConvert(extraParams.get<Tag::channelQuant>());
+        case Tag::extension:
+            return extraParams.get<Tag::extension>();
+    }
+    return NN_ERROR() << "Unrecognized Operand::ExtraParams tag: "
+                      << underlyingType(extraParams.getTag());
+}
+
+GeneralResult<Operand::SymmPerChannelQuantParams> unvalidatedConvert(
+        const aidl_hal::SymmPerChannelQuantParams& symmPerChannelQuantParams) {
+    VERIFY_NON_NEGATIVE(symmPerChannelQuantParams.channelDim)
+            << "Per-channel quantization channel dimension must not be negative.";
+    return Operand::SymmPerChannelQuantParams{
+            .scales = symmPerChannelQuantParams.scales,
+            .channelDim = static_cast<uint32_t>(symmPerChannelQuantParams.channelDim),
+    };
+}
+
+GeneralResult<Model> unvalidatedConvert(const aidl_hal::Model& model) {
+    return Model{
+            .main = NN_TRY(unvalidatedConvert(model.main)),
+            .referenced = NN_TRY(unvalidatedConvert(model.referenced)),
+            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
+            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+    };
+}
+
+GeneralResult<Model::Subgraph> unvalidatedConvert(const aidl_hal::Subgraph& subgraph) {
+    return Model::Subgraph{
+            .operands = NN_TRY(unvalidatedConvert(subgraph.operands)),
+            .operations = NN_TRY(unvalidatedConvert(subgraph.operations)),
+            .inputIndexes = NN_TRY(toUnsigned(subgraph.inputIndexes)),
+            .outputIndexes = NN_TRY(toUnsigned(subgraph.outputIndexes)),
+    };
+}
+
+GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
+        const aidl_hal::ExtensionNameAndPrefix& extensionNameAndPrefix) {
+    return Model::ExtensionNameAndPrefix{
+            .name = extensionNameAndPrefix.name,
+            .prefix = extensionNameAndPrefix.prefix,
+    };
+}
+
+GeneralResult<Extension> unvalidatedConvert(const aidl_hal::Extension& extension) {
+    return Extension{
+            .name = extension.name,
+            .operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes)),
+    };
+}
+
+GeneralResult<Extension::OperandTypeInformation> unvalidatedConvert(
+        const aidl_hal::ExtensionOperandTypeInformation& operandTypeInformation) {
+    VERIFY_NON_NEGATIVE(operandTypeInformation.byteSize)
+            << "Extension operand type byte size must not be negative";
+    return Extension::OperandTypeInformation{
+            .type = operandTypeInformation.type,
+            .isTensor = operandTypeInformation.isTensor,
+            .byteSize = static_cast<uint32_t>(operandTypeInformation.byteSize),
+    };
+}
+
+GeneralResult<OutputShape> unvalidatedConvert(const aidl_hal::OutputShape& outputShape) {
+    return OutputShape{
+            .dimensions = NN_TRY(toUnsigned(outputShape.dimensions)),
+            .isSufficient = outputShape.isSufficient,
+    };
+}
+
+GeneralResult<MeasureTiming> unvalidatedConvert(bool measureTiming) {
+    return measureTiming ? MeasureTiming::YES : MeasureTiming::NO;
+}
+
+GeneralResult<Memory> unvalidatedConvert(const aidl_hal::Memory& memory) {
+    VERIFY_NON_NEGATIVE(memory.size) << "Memory size must not be negative";
+    return Memory{
+            .handle = NN_TRY(unvalidatedConvert(memory.handle)),
+            .size = static_cast<uint32_t>(memory.size),
+            .name = memory.name,
+    };
+}
+
+GeneralResult<Model::OperandValues> unvalidatedConvert(const std::vector<uint8_t>& operandValues) {
+    return Model::OperandValues(operandValues.data(), operandValues.size());
+}
+
+GeneralResult<BufferDesc> unvalidatedConvert(const aidl_hal::BufferDesc& bufferDesc) {
+    return BufferDesc{.dimensions = NN_TRY(toUnsigned(bufferDesc.dimensions))};
+}
+
+GeneralResult<BufferRole> unvalidatedConvert(const aidl_hal::BufferRole& bufferRole) {
+    VERIFY_NON_NEGATIVE(bufferRole.modelIndex) << "BufferRole: modelIndex must not be negative";
+    VERIFY_NON_NEGATIVE(bufferRole.ioIndex) << "BufferRole: ioIndex must not be negative";
+    return BufferRole{
+            .modelIndex = static_cast<uint32_t>(bufferRole.modelIndex),
+            .ioIndex = static_cast<uint32_t>(bufferRole.ioIndex),
+            .frequency = bufferRole.frequency,
+    };
+}
+
+GeneralResult<Request> unvalidatedConvert(const aidl_hal::Request& request) {
+    return Request{
+            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
+            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
+            .pools = NN_TRY(unvalidatedConvert(request.pools)),
+    };
+}
+
+GeneralResult<Request::Argument> unvalidatedConvert(const aidl_hal::RequestArgument& argument) {
+    const auto lifetime = argument.hasNoValue ? Request::Argument::LifeTime::NO_VALUE
+                                              : Request::Argument::LifeTime::POOL;
+    return Request::Argument{
+            .lifetime = lifetime,
+            .location = NN_TRY(unvalidatedConvert(argument.location)),
+            .dimensions = NN_TRY(toUnsigned(argument.dimensions)),
+    };
+}
+
+GeneralResult<Request::MemoryPool> unvalidatedConvert(
+        const aidl_hal::RequestMemoryPool& memoryPool) {
+    using Tag = aidl_hal::RequestMemoryPool::Tag;
+    switch (memoryPool.getTag()) {
+        case Tag::pool:
+            return unvalidatedConvert(memoryPool.get<Tag::pool>());
+        case Tag::token: {
+            const auto token = memoryPool.get<Tag::token>();
+            VERIFY_NON_NEGATIVE(token) << "Memory pool token must not be negative";
+            return static_cast<Request::MemoryDomainToken>(token);
+        }
+    }
+    return NN_ERROR() << "Invalid Request::MemoryPool tag " << underlyingType(memoryPool.getTag());
+}
+
+GeneralResult<ErrorStatus> unvalidatedConvert(const aidl_hal::ErrorStatus& status) {
+    switch (status) {
+        case aidl_hal::ErrorStatus::NONE:
+        case aidl_hal::ErrorStatus::DEVICE_UNAVAILABLE:
+        case aidl_hal::ErrorStatus::GENERAL_FAILURE:
+        case aidl_hal::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:
+        case aidl_hal::ErrorStatus::INVALID_ARGUMENT:
+        case aidl_hal::ErrorStatus::MISSED_DEADLINE_TRANSIENT:
+        case aidl_hal::ErrorStatus::MISSED_DEADLINE_PERSISTENT:
+        case aidl_hal::ErrorStatus::RESOURCE_EXHAUSTED_TRANSIENT:
+        case aidl_hal::ErrorStatus::RESOURCE_EXHAUSTED_PERSISTENT:
+            return static_cast<ErrorStatus>(status);
+    }
+    return NN_ERROR() << "Invalid ErrorStatus " << underlyingType(status);
+}
+
+GeneralResult<ExecutionPreference> unvalidatedConvert(
+        const aidl_hal::ExecutionPreference& executionPreference) {
+    return static_cast<ExecutionPreference>(executionPreference);
+}
+
+GeneralResult<SharedHandle> unvalidatedConvert(
+        const ::aidl::android::hardware::common::NativeHandle& aidlNativeHandle) {
+    std::vector<base::unique_fd> fds;
+    fds.reserve(aidlNativeHandle.fds.size());
+    for (const auto& fd : aidlNativeHandle.fds) {
+        int dupFd = dup(fd.get());
+        if (dupFd == -1) {
+            // TODO(b/120417090): is ANEURALNETWORKS_UNEXPECTED_NULL the correct error to return
+            // here?
+            return NN_ERROR() << "Failed to dup the fd";
+        }
+        fds.emplace_back(dupFd);
+    }
+
+    return std::make_shared<const Handle>(Handle{
+            .fds = std::move(fds),
+            .ints = aidlNativeHandle.ints,
+    });
+}
+
+GeneralResult<ExecutionPreference> convert(
+        const aidl_hal::ExecutionPreference& executionPreference) {
+    return validatedConvert(executionPreference);
+}
+
+GeneralResult<Memory> convert(const aidl_hal::Memory& operand) {
+    return validatedConvert(operand);
+}
+
+GeneralResult<Model> convert(const aidl_hal::Model& model) {
+    return validatedConvert(model);
+}
+
+GeneralResult<Operand> convert(const aidl_hal::Operand& operand) {
+    return unvalidatedConvert(operand);
+}
+
+GeneralResult<OperandType> convert(const aidl_hal::OperandType& operandType) {
+    return unvalidatedConvert(operandType);
+}
+
+GeneralResult<Priority> convert(const aidl_hal::Priority& priority) {
+    return validatedConvert(priority);
+}
+
+GeneralResult<Request::MemoryPool> convert(const aidl_hal::RequestMemoryPool& memoryPool) {
+    return unvalidatedConvert(memoryPool);
+}
+
+GeneralResult<Request> convert(const aidl_hal::Request& request) {
+    return validatedConvert(request);
+}
+
+GeneralResult<std::vector<Operation>> convert(const std::vector<aidl_hal::Operation>& operations) {
+    return unvalidatedConvert(operations);
+}
+
+GeneralResult<std::vector<Memory>> convert(const std::vector<aidl_hal::Memory>& memories) {
+    return validatedConvert(memories);
+}
+
+GeneralResult<std::vector<uint32_t>> toUnsigned(const std::vector<int32_t>& vec) {
+    if (!std::all_of(vec.begin(), vec.end(), [](int32_t v) { return v >= 0; })) {
+        return NN_ERROR() << "Negative value passed to conversion from signed to unsigned";
+    }
+    return std::vector<uint32_t>(vec.begin(), vec.end());
+}
+
+}  // namespace android::nn
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+namespace {
+
+template <typename Input>
+using UnvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
+
+template <typename Type>
+nn::GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+        const std::vector<Type>& arguments) {
+    std::vector<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
+    for (size_t i = 0; i < arguments.size(); ++i) {
+        halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
+    }
+    return halObject;
+}
+
+template <typename Type>
+nn::GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& canonical) {
+    const auto maybeVersion = nn::validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return nn::error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return utils::unvalidatedConvert(canonical);
+}
+
+template <typename Type>
+nn::GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> validatedConvert(
+        const std::vector<Type>& arguments) {
+    std::vector<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
+    for (size_t i = 0; i < arguments.size(); ++i) {
+        halObject[i] = NN_TRY(validatedConvert(arguments[i]));
+    }
+    return halObject;
+}
+
+}  // namespace
+
+nn::GeneralResult<common::NativeHandle> unvalidatedConvert(const nn::SharedHandle& sharedHandle) {
+    common::NativeHandle aidlNativeHandle;
+    aidlNativeHandle.fds.reserve(sharedHandle->fds.size());
+    for (const auto& fd : sharedHandle->fds) {
+        int dupFd = dup(fd.get());
+        if (dupFd == -1) {
+            // TODO(b/120417090): is ANEURALNETWORKS_UNEXPECTED_NULL the correct error to return
+            // here?
+            return NN_ERROR() << "Failed to dup the fd";
+        }
+        aidlNativeHandle.fds.emplace_back(dupFd);
+    }
+    aidlNativeHandle.ints = sharedHandle->ints;
+    return aidlNativeHandle;
+}
+
+nn::GeneralResult<Memory> unvalidatedConvert(const nn::Memory& memory) {
+    if (memory.size > std::numeric_limits<int64_t>::max()) {
+        return NN_ERROR() << "Memory size doesn't fit into int64_t.";
+    }
+    return Memory{
+            .handle = NN_TRY(unvalidatedConvert(memory.handle)),
+            .size = static_cast<int64_t>(memory.size),
+            .name = memory.name,
+    };
+}
+
+nn::GeneralResult<ErrorStatus> unvalidatedConvert(const nn::ErrorStatus& errorStatus) {
+    switch (errorStatus) {
+        case nn::ErrorStatus::NONE:
+        case nn::ErrorStatus::DEVICE_UNAVAILABLE:
+        case nn::ErrorStatus::GENERAL_FAILURE:
+        case nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:
+        case nn::ErrorStatus::INVALID_ARGUMENT:
+        case nn::ErrorStatus::MISSED_DEADLINE_TRANSIENT:
+        case nn::ErrorStatus::MISSED_DEADLINE_PERSISTENT:
+        case nn::ErrorStatus::RESOURCE_EXHAUSTED_TRANSIENT:
+        case nn::ErrorStatus::RESOURCE_EXHAUSTED_PERSISTENT:
+            return static_cast<ErrorStatus>(errorStatus);
+        default:
+            return ErrorStatus::GENERAL_FAILURE;
+    }
+}
+
+nn::GeneralResult<OutputShape> unvalidatedConvert(const nn::OutputShape& outputShape) {
+    return OutputShape{.dimensions = NN_TRY(toSigned(outputShape.dimensions)),
+                       .isSufficient = outputShape.isSufficient};
+}
+
+nn::GeneralResult<Memory> convert(const nn::Memory& memory) {
+    return validatedConvert(memory);
+}
+
+nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& errorStatus) {
+    return validatedConvert(errorStatus);
+}
+
+nn::GeneralResult<std::vector<OutputShape>> convert(
+        const std::vector<nn::OutputShape>& outputShapes) {
+    return validatedConvert(outputShapes);
+}
+
+nn::GeneralResult<std::vector<int32_t>> toSigned(const std::vector<uint32_t>& vec) {
+    if (!std::all_of(vec.begin(), vec.end(),
+                     [](uint32_t v) { return v <= std::numeric_limits<int32_t>::max(); })) {
+        return NN_ERROR() << "Vector contains a value that doesn't fit into int32_t.";
+    }
+    return std::vector<int32_t>(vec.begin(), vec.end());
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/aidl/utils/src/Utils.cpp b/neuralnetworks/aidl/utils/src/Utils.cpp
new file mode 100644
index 0000000..8d00e59
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Utils.cpp
@@ -0,0 +1,95 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Utils.h"
+
+#include <nnapi/Result.h>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+namespace {
+
+using ::android::nn::GeneralResult;
+
+template <typename Type>
+nn::GeneralResult<std::vector<Type>> cloneVec(const std::vector<Type>& arguments) {
+    std::vector<Type> clonedObjects;
+    clonedObjects.reserve(arguments.size());
+    for (const auto& argument : arguments) {
+        clonedObjects.push_back(NN_TRY(clone(argument)));
+    }
+    return clonedObjects;
+}
+
+template <typename Type>
+GeneralResult<std::vector<Type>> clone(const std::vector<Type>& arguments) {
+    return cloneVec(arguments);
+}
+
+}  // namespace
+
+GeneralResult<Memory> clone(const Memory& memory) {
+    common::NativeHandle nativeHandle;
+    nativeHandle.ints = memory.handle.ints;
+    nativeHandle.fds.reserve(memory.handle.fds.size());
+    for (const auto& fd : memory.handle.fds) {
+        const int newFd = dup(fd.get());
+        if (newFd < 0) {
+            return NN_ERROR() << "Couldn't dup a file descriptor";
+        }
+        nativeHandle.fds.emplace_back(newFd);
+    }
+    return Memory{
+            .handle = std::move(nativeHandle),
+            .size = memory.size,
+            .name = memory.name,
+    };
+}
+
+GeneralResult<RequestMemoryPool> clone(const RequestMemoryPool& requestPool) {
+    using Tag = RequestMemoryPool::Tag;
+    switch (requestPool.getTag()) {
+        case Tag::pool:
+            return RequestMemoryPool::make<Tag::pool>(NN_TRY(clone(requestPool.get<Tag::pool>())));
+        case Tag::token:
+            return RequestMemoryPool::make<Tag::token>(requestPool.get<Tag::token>());
+    }
+    // Using explicit type conversion because std::variant inside the RequestMemoryPool confuses the
+    // compiler.
+    return (NN_ERROR() << "Unrecognized request pool tag: " << requestPool.getTag())
+            .
+            operator GeneralResult<RequestMemoryPool>();
+}
+
+GeneralResult<Request> clone(const Request& request) {
+    return Request{
+            .inputs = request.inputs,
+            .outputs = request.outputs,
+            .pools = NN_TRY(clone(request.pools)),
+    };
+}
+
+GeneralResult<Model> clone(const Model& model) {
+    return Model{
+            .main = model.main,
+            .referenced = model.referenced,
+            .operandValues = model.operandValues,
+            .pools = NN_TRY(clone(model.pools)),
+            .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
+            .extensionNameToPrefix = model.extensionNameToPrefix,
+    };
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/aidl/vts/OWNERS b/neuralnetworks/aidl/vts/OWNERS
new file mode 100644
index 0000000..6719a5b
--- /dev/null
+++ b/neuralnetworks/aidl/vts/OWNERS
@@ -0,0 +1,12 @@
+# Neuralnetworks team
+butlermichael@google.com
+dgross@google.com
+jeanluc@google.com
+levp@google.com
+miaowang@google.com
+mikie@google.com
+mks@google.com
+pszczepaniak@google.com
+slavash@google.com
+vddang@google.com
+xusongw@google.com
diff --git a/neuralnetworks/aidl/vts/functional/Android.bp b/neuralnetworks/aidl/vts/functional/Android.bp
new file mode 100644
index 0000000..aa7afbf
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/Android.bp
@@ -0,0 +1,68 @@
+//
+// Copyright (C) 2021 The Android Open Source Project
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+
+cc_test {
+    name: "VtsHalNeuralnetworksTargetTest",
+    defaults: [
+        "neuralnetworks_vts_functional_defaults",
+        "use_libaidlvintf_gtest_helper_static",
+    ],
+    srcs: [
+        "BasicTests.cpp",
+        "Callbacks.cpp",
+        "CompilationCachingTests.cpp",
+        "GeneratedTestHarness.cpp",
+        "MemoryDomainTests.cpp",
+        "QualityOfServiceTests.cpp",
+        "TestAssertions.cpp",
+        "TestMain.cpp",
+        "Utils.cpp",
+        "ValidateModel.cpp",
+        "ValidateRequest.cpp",
+        "VtsHalNeuralnetworks.cpp",
+    ],
+    shared_libs: [
+        "libbinder_ndk",
+        "libnativewindow",
+        "libvndksupport",
+    ],
+    static_libs: [
+        "android.hardware.common-V2-ndk_platform",
+        "android.hardware.neuralnetworks-V1-ndk_platform",
+        "android.hidl.allocator@1.0",
+        "android.hidl.memory@1.0",
+        "libgmock",
+        "libhidlmemory",
+        "libneuralnetworks_generated_test_harness",
+        "libneuralnetworks_utils",
+        "libsync",
+        "neuralnetworks_utils_hal_aidl",
+    ],
+    whole_static_libs: [
+        "neuralnetworks_generated_V1_0_example",
+        "neuralnetworks_generated_V1_1_example",
+        "neuralnetworks_generated_V1_2_example",
+        "neuralnetworks_generated_V1_3_example",
+    ],
+    header_libs: [
+        "libbase_headers",
+        "libneuralnetworks_headers",
+    ],
+    test_suites: [
+        "general-tests",
+        "vts",
+    ],
+}
diff --git a/neuralnetworks/aidl/vts/functional/AndroidTest.xml b/neuralnetworks/aidl/vts/functional/AndroidTest.xml
new file mode 100644
index 0000000..384d420
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/AndroidTest.xml
@@ -0,0 +1,33 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Copyright (C) 2020 The Android Open Source Project
+
+     Licensed under the Apache License, Version 2.0 (the "License");
+     you may not use this file except in compliance with the License.
+     You may obtain a copy of the License at
+
+          http://www.apache.org/licenses/LICENSE-2.0
+
+     Unless required by applicable law or agreed to in writing, software
+     distributed under the License is distributed on an "AS IS" BASIS,
+     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+     See the License for the specific language governing permissions and
+     limitations under the License.
+-->
+<configuration description="Runs VtsHalNeuralnetworksTargetTest.">
+    <option name="test-suite-tag" value="apct" />
+    <option name="test-suite-tag" value="apct-native" />
+
+    <target_preparer class="com.android.tradefed.targetprep.RootTargetPreparer">
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.PushFilePreparer">
+        <option name="cleanup" value="true" />
+        <option name="push" value="VtsHalNeuralnetworksTargetTest->/data/local/tmp/VtsHalNeuralnetworksTargetTest" />
+    </target_preparer>
+
+    <test class="com.android.tradefed.testtype.GTest" >
+        <option name="native-test-device-path" value="/data/local/tmp" />
+        <option name="module-name" value="VtsHalNeuralnetworksTargetTest" />
+        <option name="native-test-timeout" value="20m" />
+    </test>
+</configuration>
diff --git a/neuralnetworks/aidl/vts/functional/BasicTests.cpp b/neuralnetworks/aidl/vts/functional/BasicTests.cpp
new file mode 100644
index 0000000..b2f4507
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/BasicTests.cpp
@@ -0,0 +1,193 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_aidl_hal_test"
+
+#include <aidl/android/hardware/neuralnetworks/Capabilities.h>
+#include <aidl/android/hardware/neuralnetworks/IDevice.h>
+#include <aidl/android/hardware/neuralnetworks/Operand.h>
+#include <aidl/android/hardware/neuralnetworks/OperandType.h>
+#include <aidl/android/hardware/neuralnetworks/Priority.h>
+#include <android/binder_interface_utils.h>
+
+#include "Utils.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using implementation::PreparedModelCallback;
+
+// create device test
+TEST_P(NeuralNetworksAidlTest, CreateDevice) {}
+
+// initialization
+TEST_P(NeuralNetworksAidlTest, GetCapabilitiesTest) {
+    Capabilities capabilities;
+    const auto retStatus = kDevice->getCapabilities(&capabilities);
+    ASSERT_TRUE(retStatus.isOk());
+
+    auto isPositive = [](const PerformanceInfo& perf) {
+        return perf.execTime > 0.0f && perf.powerUsage > 0.0f;
+    };
+
+    EXPECT_TRUE(isPositive(capabilities.relaxedFloat32toFloat16PerformanceScalar));
+    EXPECT_TRUE(isPositive(capabilities.relaxedFloat32toFloat16PerformanceTensor));
+    const auto& opPerf = capabilities.operandPerformance;
+    EXPECT_TRUE(
+            std::all_of(opPerf.begin(), opPerf.end(),
+                        [isPositive](const OperandPerformance& a) { return isPositive(a.info); }));
+    EXPECT_TRUE(std::is_sorted(opPerf.begin(), opPerf.end(),
+                               [](const OperandPerformance& a, const OperandPerformance& b) {
+                                   return a.type < b.type;
+                               }));
+    EXPECT_TRUE(std::all_of(opPerf.begin(), opPerf.end(), [](const OperandPerformance& a) {
+        return a.type != OperandType::SUBGRAPH;
+    }));
+    EXPECT_TRUE(isPositive(capabilities.ifPerformance));
+    EXPECT_TRUE(isPositive(capabilities.whilePerformance));
+}
+
+// detect cycle
+TEST_P(NeuralNetworksAidlTest, CycleTest) {
+    // opnd0 = TENSOR_FLOAT32            // model input
+    // opnd1 = TENSOR_FLOAT32            // model input
+    // opnd2 = INT32                     // model input
+    // opnd3 = ADD(opnd0, opnd4, opnd2)
+    // opnd4 = ADD(opnd1, opnd3, opnd2)
+    // opnd5 = ADD(opnd4, opnd0, opnd2)  // model output
+    //
+    //            +-----+
+    //            |     |
+    //            v     |
+    // 3 = ADD(0, 4, 2) |
+    // |                |
+    // +----------+     |
+    //            |     |
+    //            v     |
+    // 4 = ADD(1, 3, 2) |
+    // |                |
+    // +----------------+
+    // |
+    // |
+    // +-------+
+    //         |
+    //         v
+    // 5 = ADD(4, 0, 2)
+
+    const std::vector<Operand> operands = {
+            {
+                    // operands[0]
+                    .type = OperandType::TENSOR_FLOAT32,
+                    .dimensions = {1},
+                    .scale = 0.0f,
+                    .zeroPoint = 0,
+                    .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
+                    .location = {.poolIndex = 0, .offset = 0, .length = 0},
+            },
+            {
+                    // operands[1]
+                    .type = OperandType::TENSOR_FLOAT32,
+                    .dimensions = {1},
+                    .scale = 0.0f,
+                    .zeroPoint = 0,
+                    .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
+                    .location = {.poolIndex = 0, .offset = 0, .length = 0},
+            },
+            {
+                    // operands[2]
+                    .type = OperandType::INT32,
+                    .dimensions = {},
+                    .scale = 0.0f,
+                    .zeroPoint = 0,
+                    .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
+                    .location = {.poolIndex = 0, .offset = 0, .length = 0},
+            },
+            {
+                    // operands[3]
+                    .type = OperandType::TENSOR_FLOAT32,
+                    .dimensions = {1},
+                    .scale = 0.0f,
+                    .zeroPoint = 0,
+                    .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
+                    .location = {.poolIndex = 0, .offset = 0, .length = 0},
+            },
+            {
+                    // operands[4]
+                    .type = OperandType::TENSOR_FLOAT32,
+                    .dimensions = {1},
+                    .scale = 0.0f,
+                    .zeroPoint = 0,
+                    .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
+                    .location = {.poolIndex = 0, .offset = 0, .length = 0},
+            },
+            {
+                    // operands[5]
+                    .type = OperandType::TENSOR_FLOAT32,
+                    .dimensions = {1},
+                    .scale = 0.0f,
+                    .zeroPoint = 0,
+                    .lifetime = OperandLifeTime::SUBGRAPH_OUTPUT,
+                    .location = {.poolIndex = 0, .offset = 0, .length = 0},
+            },
+    };
+
+    const std::vector<Operation> operations = {
+            {.type = OperationType::ADD, .inputs = {0, 4, 2}, .outputs = {3}},
+            {.type = OperationType::ADD, .inputs = {1, 3, 2}, .outputs = {4}},
+            {.type = OperationType::ADD, .inputs = {4, 0, 2}, .outputs = {5}},
+    };
+
+    Subgraph subgraph = {
+            .operands = operands,
+            .operations = operations,
+            .inputIndexes = {0, 1, 2},
+            .outputIndexes = {5},
+    };
+    const Model model = {
+            .main = std::move(subgraph),
+            .referenced = {},
+            .operandValues = {},
+            .pools = {},
+    };
+
+    // ensure that getSupportedOperations() checks model validity
+    std::vector<bool> supportedOps;
+    const auto supportedOpsStatus = kDevice->getSupportedOperations(model, &supportedOps);
+    ASSERT_FALSE(supportedOpsStatus.isOk());
+    ASSERT_EQ(supportedOpsStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
+    ASSERT_EQ(static_cast<ErrorStatus>(supportedOpsStatus.getServiceSpecificError()),
+              ErrorStatus::INVALID_ARGUMENT);
+
+    // ensure that prepareModel() checks model validity
+    auto preparedModelCallback = ndk::SharedRefBase::make<PreparedModelCallback>();
+    auto prepareLaunchStatus =
+            kDevice->prepareModel(model, ExecutionPreference::FAST_SINGLE_ANSWER, kDefaultPriority,
+                                  kNoDeadline, {}, {}, kEmptyCacheToken, preparedModelCallback);
+    //     Note that preparation can fail for reasons other than an
+    //     invalid model (invalid model should result in
+    //     INVALID_ARGUMENT) -- for example, perhaps not all
+    //     operations are supported, or perhaps the device hit some
+    //     kind of capacity limit.
+    ASSERT_FALSE(prepareLaunchStatus.isOk());
+    EXPECT_EQ(prepareLaunchStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
+    EXPECT_NE(static_cast<ErrorStatus>(prepareLaunchStatus.getServiceSpecificError()),
+              ErrorStatus::NONE);
+
+    EXPECT_NE(preparedModelCallback->getStatus(), ErrorStatus::NONE);
+    EXPECT_EQ(preparedModelCallback->getPreparedModel(), nullptr);
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/Callbacks.cpp b/neuralnetworks/aidl/vts/functional/Callbacks.cpp
new file mode 100644
index 0000000..ca2bb48
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/Callbacks.cpp
@@ -0,0 +1,59 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "Callbacks"
+
+#include "Callbacks.h"
+
+#include <android-base/logging.h>
+#include <android/binder_auto_utils.h>
+#include <limits>
+
+namespace aidl::android::hardware::neuralnetworks::implementation {
+
+ndk::ScopedAStatus PreparedModelCallback::notify(
+        ErrorStatus errorStatus, const std::shared_ptr<IPreparedModel>& preparedModel) {
+    {
+        std::lock_guard<std::mutex> hold(mMutex);
+        // quick-return if object has already been notified
+        if (mNotified) {
+            return ndk::ScopedAStatus::ok();
+        }
+        // store results and mark as notified
+        mErrorStatus = errorStatus;
+        mPreparedModel = preparedModel;
+        mNotified = true;
+    }
+    mCondition.notify_all();
+    return ndk::ScopedAStatus::ok();
+}
+
+void PreparedModelCallback::wait() const {
+    std::unique_lock<std::mutex> lock(mMutex);
+    mCondition.wait(lock, [this] { return mNotified; });
+}
+
+ErrorStatus PreparedModelCallback::getStatus() const {
+    wait();
+    return mErrorStatus;
+}
+
+std::shared_ptr<IPreparedModel> PreparedModelCallback::getPreparedModel() const {
+    wait();
+    return mPreparedModel;
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::implementation
diff --git a/neuralnetworks/aidl/vts/functional/Callbacks.h b/neuralnetworks/aidl/vts/functional/Callbacks.h
new file mode 100644
index 0000000..0eb4d5f
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/Callbacks.h
@@ -0,0 +1,131 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_NEURALNETWORKS_AIDL_CALLBACKS_H
+#define ANDROID_HARDWARE_NEURALNETWORKS_AIDL_CALLBACKS_H
+
+#include <android-base/thread_annotations.h>
+#include <condition_variable>
+#include <mutex>
+
+#include <aidl/android/hardware/neuralnetworks/BnPreparedModelCallback.h>
+#include <aidl/android/hardware/neuralnetworks/ErrorStatus.h>
+#include <aidl/android/hardware/neuralnetworks/IPreparedModel.h>
+
+/*
+ * The Callback classes are used internally by the NeuralNetworks runtime to
+ * synchronize between different threads. An asynchronous task is launched
+ * paired with a callback object. When a client thread requires the output being
+ * generated by the asynchronous task, the client thread can wait for the result
+ * and be blocked until it has completed. Any wait may safely be called
+ * concurrently, even on the same callback object. When the asynchronous task
+ * has finished its workload, it must immediately call "notify". If the
+ * asynchronous task has failed to launch, the function that tried to launch the
+ * asynchronous task must immediately call "notify". This "notify" call
+ * awakens any client threads waiting on the callback object.
+ *
+ * These classes exist to enable synchronization across AIDL. When
+ * synchronization is only required in the same process, consider using
+ * std::future, std::mutex, std::condition_variable, or std::experimental::latch
+ * instead.
+ */
+
+namespace aidl::android::hardware::neuralnetworks::implementation {
+
+/**
+ * The PreparedModelCallback class is used to receive the error status of
+ * preparing a model as well as the prepared model from a task executing
+ * asynchronously with respect to the runtime. If a calling thread calls wait
+ * or get* on a PreparedModelCallback object and the corresponding asynchronous
+ * task has not finished preparing the model, the calling thread will block
+ * until the asynchronous task has called notify.
+ *
+ * If the callback object is notified more than once, only the results of the
+ * first call to notify are used, and the results from subsequent calls are
+ * discarded.
+ *
+ * This callback object is passed as an argument to IDevice::prepareModel*.
+ */
+class PreparedModelCallback : public BnPreparedModelCallback {
+  public:
+    /**
+     * IPreparedModelCallback::notify marks the callback object with the return
+     * status of the asynchronous model preparation along with the prepared
+     * model, and allows all prior and future wait calls on the
+     * PreparedModelCallback object to proceed.
+     *
+     * IPreparedModelCallback::notify must be called on a given PreparedModelCallback object.
+     *
+     * If the callback object is notified more than once, only the results of
+     * the first call to notify are used, and the results from subsequent calls
+     * are discarded.
+     *
+     * @param status Error status returned from asynchronously preparing the
+     *     model; will be:
+     *     - NONE if the asynchronous preparation was successful
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if the input model is invalid
+     * @param preparedModel Returned model that has been prepared for execution,
+     *     nullptr if the model was unable to be prepared.
+     */
+    ndk::ScopedAStatus notify(ErrorStatus status,
+                              const std::shared_ptr<IPreparedModel>& preparedModel) override;
+
+    /**
+     * PreparedModelCallback::wait blocks until notify has been called on the
+     * callback object.
+     */
+    void wait() const;
+
+    /**
+     * Retrieves the error status returned from the asynchronous task launched
+     * by IDevice::prepareModel*. If IDevice::prepareModel* has not finished
+     * asynchronously preparing the model, this call will block until the
+     * asynchronous task notifies the object.
+     *
+     * @return status Error status returned from asynchronously preparing the
+     *     model; will be:
+     *     - NONE if the asynchronous preparation was successful
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if the input model is invalid
+     */
+    ErrorStatus getStatus() const;
+
+    /**
+     * Retrieves the model that has been prepared for execution from the
+     * asynchronous task launched by IDevice::prepareModel*. If
+     * IDevice::prepareModel* has not finished asynchronously preparing the
+     * model, this call will block until the asynchronous task notifies the
+     * object.
+     *
+     * @return preparedModel Returned model that has been prepared for
+     *     execution, nullptr if the model was unable to be prepared.
+     */
+    std::shared_ptr<IPreparedModel> getPreparedModel() const;
+
+  private:
+    mutable std::mutex mMutex;
+    mutable std::condition_variable mCondition;
+    bool mNotified GUARDED_BY(mMutex) = false;
+    ErrorStatus mErrorStatus = ErrorStatus::GENERAL_FAILURE;
+    std::shared_ptr<IPreparedModel> mPreparedModel;
+};
+
+}  // namespace aidl::android::hardware::neuralnetworks::implementation
+
+#endif  // ANDROID_HARDWARE_NEURALNETWORKS_AIDL_CALLBACKS_H
diff --git a/neuralnetworks/aidl/vts/functional/CompilationCachingTests.cpp b/neuralnetworks/aidl/vts/functional/CompilationCachingTests.cpp
new file mode 100644
index 0000000..e0b529f
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/CompilationCachingTests.cpp
@@ -0,0 +1,1177 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_aidl_hal_test"
+
+#include <android-base/logging.h>
+#include <android/binder_auto_utils.h>
+#include <android/binder_interface_utils.h>
+#include <android/binder_status.h>
+#include <fcntl.h>
+#include <ftw.h>
+#include <gtest/gtest.h>
+#include <hidlmemory/mapping.h>
+#include <unistd.h>
+
+#include <cstdio>
+#include <cstdlib>
+#include <iterator>
+#include <random>
+#include <thread>
+
+#include "Callbacks.h"
+#include "GeneratedTestHarness.h"
+#include "MemoryUtils.h"
+#include "TestHarness.h"
+#include "Utils.h"
+#include "VtsHalNeuralnetworks.h"
+
+// Forward declaration of the mobilenet generated test models in
+// frameworks/ml/nn/runtime/test/generated/.
+namespace generated_tests::mobilenet_224_gender_basic_fixed {
+const test_helper::TestModel& get_test_model();
+}  // namespace generated_tests::mobilenet_224_gender_basic_fixed
+
+namespace generated_tests::mobilenet_quantized {
+const test_helper::TestModel& get_test_model();
+}  // namespace generated_tests::mobilenet_quantized
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using namespace test_helper;
+using implementation::PreparedModelCallback;
+
+namespace float32_model {
+
+constexpr auto get_test_model = generated_tests::mobilenet_224_gender_basic_fixed::get_test_model;
+
+}  // namespace float32_model
+
+namespace quant8_model {
+
+constexpr auto get_test_model = generated_tests::mobilenet_quantized::get_test_model;
+
+}  // namespace quant8_model
+
+namespace {
+
+enum class AccessMode { READ_WRITE, READ_ONLY, WRITE_ONLY };
+
+// Creates cache handles based on provided file groups.
+// The outer vector corresponds to handles and the inner vector is for fds held by each handle.
+void createCacheFds(const std::vector<std::string>& files, const std::vector<AccessMode>& mode,
+                    std::vector<ndk::ScopedFileDescriptor>* fds) {
+    fds->clear();
+    fds->reserve(files.size());
+    for (uint32_t i = 0; i < files.size(); i++) {
+        const auto& file = files[i];
+        int fd;
+        if (mode[i] == AccessMode::READ_ONLY) {
+            fd = open(file.c_str(), O_RDONLY);
+        } else if (mode[i] == AccessMode::WRITE_ONLY) {
+            fd = open(file.c_str(), O_WRONLY | O_CREAT, S_IRUSR | S_IWUSR);
+        } else if (mode[i] == AccessMode::READ_WRITE) {
+            fd = open(file.c_str(), O_RDWR | O_CREAT, S_IRUSR | S_IWUSR);
+        } else {
+            FAIL();
+        }
+        ASSERT_GE(fd, 0);
+        fds->emplace_back(fd);
+    }
+}
+
+void createCacheFds(const std::vector<std::string>& files, AccessMode mode,
+                    std::vector<ndk::ScopedFileDescriptor>* fds) {
+    createCacheFds(files, std::vector<AccessMode>(files.size(), mode), fds);
+}
+
+// Create a chain of broadcast operations. The second operand is always constant tensor [1].
+// For simplicity, activation scalar is shared. The second operand is not shared
+// in the model to let driver maintain a non-trivial size of constant data and the corresponding
+// data locations in cache.
+//
+//                --------- activation --------
+//                ↓      ↓      ↓             ↓
+// E.g. input -> ADD -> ADD -> ADD -> ... -> ADD -> output
+//                ↑      ↑      ↑             ↑
+//               [1]    [1]    [1]           [1]
+//
+// This function assumes the operation is either ADD or MUL.
+template <typename CppType, TestOperandType operandType>
+TestModel createLargeTestModelImpl(TestOperationType op, uint32_t len) {
+    EXPECT_TRUE(op == TestOperationType::ADD || op == TestOperationType::MUL);
+
+    // Model operations and operands.
+    std::vector<TestOperation> operations(len);
+    std::vector<TestOperand> operands(len * 2 + 2);
+
+    // The activation scalar, value = 0.
+    operands[0] = {
+            .type = TestOperandType::INT32,
+            .dimensions = {},
+            .numberOfConsumers = len,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+            .data = TestBuffer::createFromVector<int32_t>({0}),
+    };
+
+    // The buffer value of the constant second operand. The logical value is always 1.0f.
+    CppType bufferValue;
+    // The scale of the first and second operand.
+    float scale1, scale2;
+    if (operandType == TestOperandType::TENSOR_FLOAT32) {
+        bufferValue = 1.0f;
+        scale1 = 0.0f;
+        scale2 = 0.0f;
+    } else if (op == TestOperationType::ADD) {
+        bufferValue = 1;
+        scale1 = 1.0f;
+        scale2 = 1.0f;
+    } else {
+        // To satisfy the constraint on quant8 MUL: input0.scale * input1.scale < output.scale,
+        // set input1 to have scale = 0.5f and bufferValue = 2, i.e. 1.0f in floating point.
+        bufferValue = 2;
+        scale1 = 1.0f;
+        scale2 = 0.5f;
+    }
+
+    for (uint32_t i = 0; i < len; i++) {
+        const uint32_t firstInputIndex = i * 2 + 1;
+        const uint32_t secondInputIndex = firstInputIndex + 1;
+        const uint32_t outputIndex = secondInputIndex + 1;
+
+        // The first operation input.
+        operands[firstInputIndex] = {
+                .type = operandType,
+                .dimensions = {1},
+                .numberOfConsumers = 1,
+                .scale = scale1,
+                .zeroPoint = 0,
+                .lifetime = (i == 0 ? TestOperandLifeTime::MODEL_INPUT
+                                    : TestOperandLifeTime::TEMPORARY_VARIABLE),
+                .data = (i == 0 ? TestBuffer::createFromVector<CppType>({1}) : TestBuffer()),
+        };
+
+        // The second operation input, value = 1.
+        operands[secondInputIndex] = {
+                .type = operandType,
+                .dimensions = {1},
+                .numberOfConsumers = 1,
+                .scale = scale2,
+                .zeroPoint = 0,
+                .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+                .data = TestBuffer::createFromVector<CppType>({bufferValue}),
+        };
+
+        // The operation. All operations share the same activation scalar.
+        // The output operand is created as an input in the next iteration of the loop, in the case
+        // of all but the last member of the chain; and after the loop as a model output, in the
+        // case of the last member of the chain.
+        operations[i] = {
+                .type = op,
+                .inputs = {firstInputIndex, secondInputIndex, /*activation scalar*/ 0},
+                .outputs = {outputIndex},
+        };
+    }
+
+    // For TestOperationType::ADD, output = 1 + 1 * len = len + 1
+    // For TestOperationType::MUL, output = 1 * 1 ^ len = 1
+    CppType outputResult = static_cast<CppType>(op == TestOperationType::ADD ? len + 1u : 1u);
+
+    // The model output.
+    operands.back() = {
+            .type = operandType,
+            .dimensions = {1},
+            .numberOfConsumers = 0,
+            .scale = scale1,
+            .zeroPoint = 0,
+            .lifetime = TestOperandLifeTime::MODEL_OUTPUT,
+            .data = TestBuffer::createFromVector<CppType>({outputResult}),
+    };
+
+    return {
+            .main = {.operands = std::move(operands),
+                     .operations = std::move(operations),
+                     .inputIndexes = {1},
+                     .outputIndexes = {len * 2 + 1}},
+            .isRelaxed = false,
+    };
+}
+
+}  // namespace
+
+// Tag for the compilation caching tests.
+class CompilationCachingTestBase : public testing::Test {
+  protected:
+    CompilationCachingTestBase(std::shared_ptr<IDevice> device, OperandType type)
+        : kDevice(std::move(device)), kOperandType(type) {}
+
+    void SetUp() override {
+        testing::Test::SetUp();
+        ASSERT_NE(kDevice.get(), nullptr);
+
+        // Create cache directory. The cache directory and a temporary cache file is always created
+        // to test the behavior of prepareModelFromCache, even when caching is not supported.
+        char cacheDirTemp[] = "/data/local/tmp/TestCompilationCachingXXXXXX";
+        char* cacheDir = mkdtemp(cacheDirTemp);
+        ASSERT_NE(cacheDir, nullptr);
+        mCacheDir = cacheDir;
+        mCacheDir.push_back('/');
+
+        NumberOfCacheFiles numCacheFiles;
+        const auto ret = kDevice->getNumberOfCacheFilesNeeded(&numCacheFiles);
+        ASSERT_TRUE(ret.isOk());
+
+        mNumModelCache = numCacheFiles.numModelCache;
+        mNumDataCache = numCacheFiles.numDataCache;
+        ASSERT_GE(mNumModelCache, 0) << "Invalid numModelCache: " << mNumModelCache;
+        ASSERT_GE(mNumDataCache, 0) << "Invalid numDataCache: " << mNumDataCache;
+        mIsCachingSupported = mNumModelCache > 0 || mNumDataCache > 0;
+
+        // Create empty cache files.
+        mTmpCache = mCacheDir + "tmp";
+        for (uint32_t i = 0; i < mNumModelCache; i++) {
+            mModelCache.push_back({mCacheDir + "model" + std::to_string(i)});
+        }
+        for (uint32_t i = 0; i < mNumDataCache; i++) {
+            mDataCache.push_back({mCacheDir + "data" + std::to_string(i)});
+        }
+        // Placeholder handles, use AccessMode::WRITE_ONLY for createCacheFds to create files.
+        std::vector<ndk::ScopedFileDescriptor> modelHandle, dataHandle, tmpHandle;
+        createCacheFds(mModelCache, AccessMode::WRITE_ONLY, &modelHandle);
+        createCacheFds(mDataCache, AccessMode::WRITE_ONLY, &dataHandle);
+        createCacheFds({mTmpCache}, AccessMode::WRITE_ONLY, &tmpHandle);
+
+        if (!mIsCachingSupported) {
+            LOG(INFO) << "NN VTS: Early termination of test because vendor service does not "
+                         "support compilation caching.";
+            std::cout << "[          ]   Early termination of test because vendor service does not "
+                         "support compilation caching."
+                      << std::endl;
+        }
+    }
+
+    void TearDown() override {
+        // If the test passes, remove the tmp directory.  Otherwise, keep it for debugging purposes.
+        if (!testing::Test::HasFailure()) {
+            // Recursively remove the cache directory specified by mCacheDir.
+            auto callback = [](const char* entry, const struct stat*, int, struct FTW*) {
+                return remove(entry);
+            };
+            nftw(mCacheDir.c_str(), callback, 128, FTW_DEPTH | FTW_MOUNT | FTW_PHYS);
+        }
+        testing::Test::TearDown();
+    }
+
+    // Model and examples creators. According to kOperandType, the following methods will return
+    // either float32 model/examples or the quant8 variant.
+    TestModel createTestModel() {
+        if (kOperandType == OperandType::TENSOR_FLOAT32) {
+            return float32_model::get_test_model();
+        } else {
+            return quant8_model::get_test_model();
+        }
+    }
+
+    TestModel createLargeTestModel(OperationType op, uint32_t len) {
+        if (kOperandType == OperandType::TENSOR_FLOAT32) {
+            return createLargeTestModelImpl<float, TestOperandType::TENSOR_FLOAT32>(
+                    static_cast<TestOperationType>(op), len);
+        } else {
+            return createLargeTestModelImpl<uint8_t, TestOperandType::TENSOR_QUANT8_ASYMM>(
+                    static_cast<TestOperationType>(op), len);
+        }
+    }
+
+    // See if the service can handle the model.
+    bool isModelFullySupported(const Model& model) {
+        std::vector<bool> supportedOps;
+        const auto supportedCall = kDevice->getSupportedOperations(model, &supportedOps);
+        EXPECT_TRUE(supportedCall.isOk());
+        EXPECT_EQ(supportedOps.size(), model.main.operations.size());
+        if (!supportedCall.isOk() || supportedOps.size() != model.main.operations.size()) {
+            return false;
+        }
+        return std::all_of(supportedOps.begin(), supportedOps.end(),
+                           [](bool valid) { return valid; });
+    }
+
+    void saveModelToCache(const Model& model,
+                          const std::vector<ndk::ScopedFileDescriptor>& modelCache,
+                          const std::vector<ndk::ScopedFileDescriptor>& dataCache,
+                          std::shared_ptr<IPreparedModel>* preparedModel = nullptr) {
+        if (preparedModel != nullptr) *preparedModel = nullptr;
+
+        // Launch prepare model.
+        std::shared_ptr<PreparedModelCallback> preparedModelCallback =
+                ndk::SharedRefBase::make<PreparedModelCallback>();
+        std::vector<uint8_t> cacheToken(std::begin(mToken), std::end(mToken));
+        const auto prepareLaunchStatus = kDevice->prepareModel(
+                model, ExecutionPreference::FAST_SINGLE_ANSWER, kDefaultPriority, kNoDeadline,
+                modelCache, dataCache, cacheToken, preparedModelCallback);
+        ASSERT_TRUE(prepareLaunchStatus.isOk());
+
+        // Retrieve prepared model.
+        preparedModelCallback->wait();
+        ASSERT_EQ(preparedModelCallback->getStatus(), ErrorStatus::NONE);
+        if (preparedModel != nullptr) {
+            *preparedModel = preparedModelCallback->getPreparedModel();
+        }
+    }
+
+    bool checkEarlyTermination(ErrorStatus status) {
+        if (status == ErrorStatus::GENERAL_FAILURE) {
+            LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
+                         "save the prepared model that it does not support.";
+            std::cout << "[          ]   Early termination of test because vendor service cannot "
+                         "save the prepared model that it does not support."
+                      << std::endl;
+            return true;
+        }
+        return false;
+    }
+
+    bool checkEarlyTermination(const Model& model) {
+        if (!isModelFullySupported(model)) {
+            LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
+                         "prepare model that it does not support.";
+            std::cout << "[          ]   Early termination of test because vendor service cannot "
+                         "prepare model that it does not support."
+                      << std::endl;
+            return true;
+        }
+        return false;
+    }
+
+    void prepareModelFromCache(const std::vector<ndk::ScopedFileDescriptor>& modelCache,
+                               const std::vector<ndk::ScopedFileDescriptor>& dataCache,
+                               std::shared_ptr<IPreparedModel>* preparedModel,
+                               ErrorStatus* status) {
+        // Launch prepare model from cache.
+        std::shared_ptr<PreparedModelCallback> preparedModelCallback =
+                ndk::SharedRefBase::make<PreparedModelCallback>();
+        std::vector<uint8_t> cacheToken(std::begin(mToken), std::end(mToken));
+        const auto prepareLaunchStatus = kDevice->prepareModelFromCache(
+                kNoDeadline, modelCache, dataCache, cacheToken, preparedModelCallback);
+        ASSERT_TRUE(prepareLaunchStatus.isOk() ||
+                    prepareLaunchStatus.getExceptionCode() == EX_SERVICE_SPECIFIC)
+                << "prepareLaunchStatus: " << prepareLaunchStatus.getDescription();
+        if (!prepareLaunchStatus.isOk()) {
+            *preparedModel = nullptr;
+            *status = static_cast<ErrorStatus>(prepareLaunchStatus.getServiceSpecificError());
+            return;
+        }
+
+        // Retrieve prepared model.
+        preparedModelCallback->wait();
+        *status = preparedModelCallback->getStatus();
+        *preparedModel = preparedModelCallback->getPreparedModel();
+    }
+
+    // Absolute path to the temporary cache directory.
+    std::string mCacheDir;
+
+    // Groups of file paths for model and data cache in the tmp cache directory, initialized with
+    // size = mNum{Model|Data}Cache. The outer vector corresponds to handles and the inner vector is
+    // for fds held by each handle.
+    std::vector<std::string> mModelCache;
+    std::vector<std::string> mDataCache;
+
+    // A separate temporary file path in the tmp cache directory.
+    std::string mTmpCache;
+
+    uint8_t mToken[static_cast<uint32_t>(IDevice::BYTE_SIZE_OF_CACHE_TOKEN)] = {};
+    uint32_t mNumModelCache;
+    uint32_t mNumDataCache;
+    uint32_t mIsCachingSupported;
+
+    const std::shared_ptr<IDevice> kDevice;
+    // The primary data type of the testModel.
+    const OperandType kOperandType;
+};
+
+using CompilationCachingTestParam = std::tuple<NamedDevice, OperandType>;
+
+// A parameterized fixture of CompilationCachingTestBase. Every test will run twice, with the first
+// pass running with float32 models and the second pass running with quant8 models.
+class CompilationCachingTest : public CompilationCachingTestBase,
+                               public testing::WithParamInterface<CompilationCachingTestParam> {
+  protected:
+    CompilationCachingTest()
+        : CompilationCachingTestBase(getData(std::get<NamedDevice>(GetParam())),
+                                     std::get<OperandType>(GetParam())) {}
+};
+
+TEST_P(CompilationCachingTest, CacheSavingAndRetrieval) {
+    // Create test HIDL model and compile.
+    const TestModel& testModel = createTestModel();
+    const Model model = createModel(testModel);
+    if (checkEarlyTermination(model)) return;
+    std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+
+    // Save the compilation to cache.
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        saveModelToCache(model, modelCache, dataCache);
+    }
+
+    // Retrieve preparedModel from cache.
+    {
+        preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (!mIsCachingSupported) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+            ASSERT_EQ(preparedModel, nullptr);
+            return;
+        } else if (checkEarlyTermination(status)) {
+            ASSERT_EQ(preparedModel, nullptr);
+            return;
+        } else {
+            ASSERT_EQ(status, ErrorStatus::NONE);
+            ASSERT_NE(preparedModel, nullptr);
+        }
+    }
+
+    // Execute and verify results.
+    EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+}
+
+TEST_P(CompilationCachingTest, CacheSavingAndRetrievalNonZeroOffset) {
+    // Create test HIDL model and compile.
+    const TestModel& testModel = createTestModel();
+    const Model model = createModel(testModel);
+    if (checkEarlyTermination(model)) return;
+    std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+
+    // Save the compilation to cache.
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        uint8_t placeholderBytes[] = {0, 0};
+        // Write a placeholder integer to the cache.
+        // The driver should be able to handle non-empty cache and non-zero fd offset.
+        for (uint32_t i = 0; i < modelCache.size(); i++) {
+            ASSERT_EQ(write(modelCache[i].get(), &placeholderBytes, sizeof(placeholderBytes)),
+                      sizeof(placeholderBytes));
+        }
+        for (uint32_t i = 0; i < dataCache.size(); i++) {
+            ASSERT_EQ(write(dataCache[i].get(), &placeholderBytes, sizeof(placeholderBytes)),
+                      sizeof(placeholderBytes));
+        }
+        saveModelToCache(model, modelCache, dataCache);
+    }
+
+    // Retrieve preparedModel from cache.
+    {
+        preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        uint8_t placeholderByte = 0;
+        // Advance the offset of each handle by one byte.
+        // The driver should be able to handle non-zero fd offset.
+        for (uint32_t i = 0; i < modelCache.size(); i++) {
+            ASSERT_GE(read(modelCache[i].get(), &placeholderByte, 1), 0);
+        }
+        for (uint32_t i = 0; i < dataCache.size(); i++) {
+            ASSERT_GE(read(dataCache[i].get(), &placeholderByte, 1), 0);
+        }
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (!mIsCachingSupported) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+            ASSERT_EQ(preparedModel, nullptr);
+            return;
+        } else if (checkEarlyTermination(status)) {
+            ASSERT_EQ(preparedModel, nullptr);
+            return;
+        } else {
+            ASSERT_EQ(status, ErrorStatus::NONE);
+            ASSERT_NE(preparedModel, nullptr);
+        }
+    }
+
+    // Execute and verify results.
+    EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+}
+
+TEST_P(CompilationCachingTest, SaveToCacheInvalidNumCache) {
+    // Create test HIDL model and compile.
+    const TestModel& testModel = createTestModel();
+    const Model model = createModel(testModel);
+    if (checkEarlyTermination(model)) return;
+
+    // Test with number of model cache files greater than mNumModelCache.
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        // Pass an additional cache file for model cache.
+        mModelCache.push_back({mTmpCache});
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mModelCache.pop_back();
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        saveModelToCache(model, modelCache, dataCache, &preparedModel);
+        ASSERT_NE(preparedModel, nullptr);
+        // Execute and verify results.
+        EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+        // Check if prepareModelFromCache fails.
+        preparedModel = nullptr;
+        ErrorStatus status;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::INVALID_ARGUMENT) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Test with number of model cache files smaller than mNumModelCache.
+    if (mModelCache.size() > 0) {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        // Pop out the last cache file.
+        auto tmp = mModelCache.back();
+        mModelCache.pop_back();
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mModelCache.push_back(tmp);
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        saveModelToCache(model, modelCache, dataCache, &preparedModel);
+        ASSERT_NE(preparedModel, nullptr);
+        // Execute and verify results.
+        EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+        // Check if prepareModelFromCache fails.
+        preparedModel = nullptr;
+        ErrorStatus status;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::INVALID_ARGUMENT) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Test with number of data cache files greater than mNumDataCache.
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        // Pass an additional cache file for data cache.
+        mDataCache.push_back({mTmpCache});
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mDataCache.pop_back();
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        saveModelToCache(model, modelCache, dataCache, &preparedModel);
+        ASSERT_NE(preparedModel, nullptr);
+        // Execute and verify results.
+        EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+        // Check if prepareModelFromCache fails.
+        preparedModel = nullptr;
+        ErrorStatus status;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::INVALID_ARGUMENT) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Test with number of data cache files smaller than mNumDataCache.
+    if (mDataCache.size() > 0) {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        // Pop out the last cache file.
+        auto tmp = mDataCache.back();
+        mDataCache.pop_back();
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mDataCache.push_back(tmp);
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        saveModelToCache(model, modelCache, dataCache, &preparedModel);
+        ASSERT_NE(preparedModel, nullptr);
+        // Execute and verify results.
+        EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+        // Check if prepareModelFromCache fails.
+        preparedModel = nullptr;
+        ErrorStatus status;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::INVALID_ARGUMENT) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+}
+
+TEST_P(CompilationCachingTest, PrepareModelFromCacheInvalidNumCache) {
+    // Create test HIDL model and compile.
+    const TestModel& testModel = createTestModel();
+    const Model model = createModel(testModel);
+    if (checkEarlyTermination(model)) return;
+
+    // Save the compilation to cache.
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        saveModelToCache(model, modelCache, dataCache);
+    }
+
+    // Test with number of model cache files greater than mNumModelCache.
+    {
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        mModelCache.push_back({mTmpCache});
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mModelCache.pop_back();
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::GENERAL_FAILURE) {
+            ASSERT_EQ(status, ErrorStatus::INVALID_ARGUMENT);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Test with number of model cache files smaller than mNumModelCache.
+    if (mModelCache.size() > 0) {
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        auto tmp = mModelCache.back();
+        mModelCache.pop_back();
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mModelCache.push_back(tmp);
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::GENERAL_FAILURE) {
+            ASSERT_EQ(status, ErrorStatus::INVALID_ARGUMENT);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Test with number of data cache files greater than mNumDataCache.
+    {
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        mDataCache.push_back({mTmpCache});
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mDataCache.pop_back();
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::GENERAL_FAILURE) {
+            ASSERT_EQ(status, ErrorStatus::INVALID_ARGUMENT);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Test with number of data cache files smaller than mNumDataCache.
+    if (mDataCache.size() > 0) {
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        auto tmp = mDataCache.back();
+        mDataCache.pop_back();
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        mDataCache.push_back(tmp);
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::GENERAL_FAILURE) {
+            ASSERT_EQ(status, ErrorStatus::INVALID_ARGUMENT);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+}
+
+TEST_P(CompilationCachingTest, SaveToCacheInvalidAccessMode) {
+    // Create test HIDL model and compile.
+    const TestModel& testModel = createTestModel();
+    const Model model = createModel(testModel);
+    if (checkEarlyTermination(model)) return;
+    std::vector<AccessMode> modelCacheMode(mNumModelCache, AccessMode::READ_WRITE);
+    std::vector<AccessMode> dataCacheMode(mNumDataCache, AccessMode::READ_WRITE);
+
+    // Go through each handle in model cache, test with invalid access mode.
+    for (uint32_t i = 0; i < mNumModelCache; i++) {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        modelCacheMode[i] = AccessMode::READ_ONLY;
+        createCacheFds(mModelCache, modelCacheMode, &modelCache);
+        createCacheFds(mDataCache, dataCacheMode, &dataCache);
+        modelCacheMode[i] = AccessMode::READ_WRITE;
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        saveModelToCache(model, modelCache, dataCache, &preparedModel);
+        ASSERT_NE(preparedModel, nullptr);
+        // Execute and verify results.
+        EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+        // Check if prepareModelFromCache fails.
+        preparedModel = nullptr;
+        ErrorStatus status;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::INVALID_ARGUMENT) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Go through each handle in data cache, test with invalid access mode.
+    for (uint32_t i = 0; i < mNumDataCache; i++) {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        dataCacheMode[i] = AccessMode::READ_ONLY;
+        createCacheFds(mModelCache, modelCacheMode, &modelCache);
+        createCacheFds(mDataCache, dataCacheMode, &dataCache);
+        dataCacheMode[i] = AccessMode::READ_WRITE;
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        saveModelToCache(model, modelCache, dataCache, &preparedModel);
+        ASSERT_NE(preparedModel, nullptr);
+        // Execute and verify results.
+        EvaluatePreparedModel(kDevice, preparedModel, testModel, /*testKind=*/TestKind::GENERAL);
+        // Check if prepareModelFromCache fails.
+        preparedModel = nullptr;
+        ErrorStatus status;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        if (status != ErrorStatus::INVALID_ARGUMENT) {
+            ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        }
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+}
+
+TEST_P(CompilationCachingTest, PrepareModelFromCacheInvalidAccessMode) {
+    // Create test HIDL model and compile.
+    const TestModel& testModel = createTestModel();
+    const Model model = createModel(testModel);
+    if (checkEarlyTermination(model)) return;
+    std::vector<AccessMode> modelCacheMode(mNumModelCache, AccessMode::READ_WRITE);
+    std::vector<AccessMode> dataCacheMode(mNumDataCache, AccessMode::READ_WRITE);
+
+    // Save the compilation to cache.
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        saveModelToCache(model, modelCache, dataCache);
+    }
+
+    // Go through each handle in model cache, test with invalid access mode.
+    for (uint32_t i = 0; i < mNumModelCache; i++) {
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        modelCacheMode[i] = AccessMode::WRITE_ONLY;
+        createCacheFds(mModelCache, modelCacheMode, &modelCache);
+        createCacheFds(mDataCache, dataCacheMode, &dataCache);
+        modelCacheMode[i] = AccessMode::READ_WRITE;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+
+    // Go through each handle in data cache, test with invalid access mode.
+    for (uint32_t i = 0; i < mNumDataCache; i++) {
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        dataCacheMode[i] = AccessMode::WRITE_ONLY;
+        createCacheFds(mModelCache, modelCacheMode, &modelCache);
+        createCacheFds(mDataCache, dataCacheMode, &dataCache);
+        dataCacheMode[i] = AccessMode::READ_WRITE;
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+}
+
+// Copy file contents between files.
+// The vector sizes must match.
+static void copyCacheFiles(const std::vector<std::string>& from,
+                           const std::vector<std::string>& to) {
+    constexpr size_t kBufferSize = 1000000;
+    uint8_t buffer[kBufferSize];
+
+    ASSERT_EQ(from.size(), to.size());
+    for (uint32_t i = 0; i < from.size(); i++) {
+        int fromFd = open(from[i].c_str(), O_RDONLY);
+        int toFd = open(to[i].c_str(), O_WRONLY | O_CREAT, S_IRUSR | S_IWUSR);
+        ASSERT_GE(fromFd, 0);
+        ASSERT_GE(toFd, 0);
+
+        ssize_t readBytes;
+        while ((readBytes = read(fromFd, &buffer, kBufferSize)) > 0) {
+            ASSERT_EQ(write(toFd, &buffer, readBytes), readBytes);
+        }
+        ASSERT_GE(readBytes, 0);
+
+        close(fromFd);
+        close(toFd);
+    }
+}
+
+// Number of operations in the large test model.
+constexpr uint32_t kLargeModelSize = 100;
+constexpr uint32_t kNumIterationsTOCTOU = 100;
+
+TEST_P(CompilationCachingTest, SaveToCache_TOCTOU) {
+    if (!mIsCachingSupported) return;
+
+    // Create test models and check if fully supported by the service.
+    const TestModel testModelMul = createLargeTestModel(OperationType::MUL, kLargeModelSize);
+    const Model modelMul = createModel(testModelMul);
+    if (checkEarlyTermination(modelMul)) return;
+    const TestModel testModelAdd = createLargeTestModel(OperationType::ADD, kLargeModelSize);
+    const Model modelAdd = createModel(testModelAdd);
+    if (checkEarlyTermination(modelAdd)) return;
+
+    // Save the modelMul compilation to cache.
+    auto modelCacheMul = mModelCache;
+    for (auto& cache : modelCacheMul) {
+        cache.append("_mul");
+    }
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(modelCacheMul, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        saveModelToCache(modelMul, modelCache, dataCache);
+    }
+
+    // Use a different token for modelAdd.
+    mToken[0]++;
+
+    // This test is probabilistic, so we run it multiple times.
+    for (uint32_t i = 0; i < kNumIterationsTOCTOU; i++) {
+        // Save the modelAdd compilation to cache.
+        {
+            std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+            createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+            createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+
+            // Spawn a thread to copy the cache content concurrently while saving to cache.
+            std::thread thread(copyCacheFiles, std::cref(modelCacheMul), std::cref(mModelCache));
+            saveModelToCache(modelAdd, modelCache, dataCache);
+            thread.join();
+        }
+
+        // Retrieve preparedModel from cache.
+        {
+            std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+            ErrorStatus status;
+            std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+            createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+            createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+            prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+
+            // The preparation may fail or succeed, but must not crash. If the preparation succeeds,
+            // the prepared model must be executed with the correct result and not crash.
+            if (status != ErrorStatus::NONE) {
+                ASSERT_EQ(preparedModel, nullptr);
+            } else {
+                ASSERT_NE(preparedModel, nullptr);
+                EvaluatePreparedModel(kDevice, preparedModel, testModelAdd,
+                                      /*testKind=*/TestKind::GENERAL);
+            }
+        }
+    }
+}
+
+TEST_P(CompilationCachingTest, PrepareFromCache_TOCTOU) {
+    if (!mIsCachingSupported) return;
+
+    // Create test models and check if fully supported by the service.
+    const TestModel testModelMul = createLargeTestModel(OperationType::MUL, kLargeModelSize);
+    const Model modelMul = createModel(testModelMul);
+    if (checkEarlyTermination(modelMul)) return;
+    const TestModel testModelAdd = createLargeTestModel(OperationType::ADD, kLargeModelSize);
+    const Model modelAdd = createModel(testModelAdd);
+    if (checkEarlyTermination(modelAdd)) return;
+
+    // Save the modelMul compilation to cache.
+    auto modelCacheMul = mModelCache;
+    for (auto& cache : modelCacheMul) {
+        cache.append("_mul");
+    }
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(modelCacheMul, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        saveModelToCache(modelMul, modelCache, dataCache);
+    }
+
+    // Use a different token for modelAdd.
+    mToken[0]++;
+
+    // This test is probabilistic, so we run it multiple times.
+    for (uint32_t i = 0; i < kNumIterationsTOCTOU; i++) {
+        // Save the modelAdd compilation to cache.
+        {
+            std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+            createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+            createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+            saveModelToCache(modelAdd, modelCache, dataCache);
+        }
+
+        // Retrieve preparedModel from cache.
+        {
+            std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+            ErrorStatus status;
+            std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+            createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+            createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+
+            // Spawn a thread to copy the cache content concurrently while preparing from cache.
+            std::thread thread(copyCacheFiles, std::cref(modelCacheMul), std::cref(mModelCache));
+            prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+            thread.join();
+
+            // The preparation may fail or succeed, but must not crash. If the preparation succeeds,
+            // the prepared model must be executed with the correct result and not crash.
+            if (status != ErrorStatus::NONE) {
+                ASSERT_EQ(preparedModel, nullptr);
+            } else {
+                ASSERT_NE(preparedModel, nullptr);
+                EvaluatePreparedModel(kDevice, preparedModel, testModelAdd,
+                                      /*testKind=*/TestKind::GENERAL);
+            }
+        }
+    }
+}
+
+TEST_P(CompilationCachingTest, ReplaceSecuritySensitiveCache) {
+    if (!mIsCachingSupported) return;
+
+    // Create test models and check if fully supported by the service.
+    const TestModel testModelMul = createLargeTestModel(OperationType::MUL, kLargeModelSize);
+    const Model modelMul = createModel(testModelMul);
+    if (checkEarlyTermination(modelMul)) return;
+    const TestModel testModelAdd = createLargeTestModel(OperationType::ADD, kLargeModelSize);
+    const Model modelAdd = createModel(testModelAdd);
+    if (checkEarlyTermination(modelAdd)) return;
+
+    // Save the modelMul compilation to cache.
+    auto modelCacheMul = mModelCache;
+    for (auto& cache : modelCacheMul) {
+        cache.append("_mul");
+    }
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(modelCacheMul, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        saveModelToCache(modelMul, modelCache, dataCache);
+    }
+
+    // Use a different token for modelAdd.
+    mToken[0]++;
+
+    // Save the modelAdd compilation to cache.
+    {
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        saveModelToCache(modelAdd, modelCache, dataCache);
+    }
+
+    // Replace the model cache of modelAdd with modelMul.
+    copyCacheFiles(modelCacheMul, mModelCache);
+
+    // Retrieve the preparedModel from cache, expect failure.
+    {
+        std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+        ErrorStatus status;
+        std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+        createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+        createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+        prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+        ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+        ASSERT_EQ(preparedModel, nullptr);
+    }
+}
+
+// TODO(b/179270601): restore kNamedDeviceChoices.
+static const auto kOperandTypeChoices =
+        testing::Values(OperandType::TENSOR_FLOAT32, OperandType::TENSOR_QUANT8_ASYMM);
+
+std::string printCompilationCachingTest(
+        const testing::TestParamInfo<CompilationCachingTestParam>& info) {
+    const auto& [namedDevice, operandType] = info.param;
+    const std::string type = (operandType == OperandType::TENSOR_FLOAT32 ? "float32" : "quant8");
+    return gtestCompliantName(getName(namedDevice) + "_" + type);
+}
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CompilationCachingTest);
+INSTANTIATE_TEST_SUITE_P(TestCompilationCaching, CompilationCachingTest,
+                         testing::Combine(testing::ValuesIn(getNamedDevices()),
+                                          kOperandTypeChoices),
+                         printCompilationCachingTest);
+
+using CompilationCachingSecurityTestParam = std::tuple<NamedDevice, OperandType, uint32_t>;
+
+class CompilationCachingSecurityTest
+    : public CompilationCachingTestBase,
+      public testing::WithParamInterface<CompilationCachingSecurityTestParam> {
+  protected:
+    CompilationCachingSecurityTest()
+        : CompilationCachingTestBase(getData(std::get<NamedDevice>(GetParam())),
+                                     std::get<OperandType>(GetParam())) {}
+
+    void SetUp() {
+        CompilationCachingTestBase::SetUp();
+        generator.seed(kSeed);
+    }
+
+    // Get a random integer within a closed range [lower, upper].
+    template <typename T>
+    T getRandomInt(T lower, T upper) {
+        std::uniform_int_distribution<T> dis(lower, upper);
+        return dis(generator);
+    }
+
+    // Randomly flip one single bit of the cache entry.
+    void flipOneBitOfCache(const std::string& filename, bool* skip) {
+        FILE* pFile = fopen(filename.c_str(), "r+");
+        ASSERT_EQ(fseek(pFile, 0, SEEK_END), 0);
+        long int fileSize = ftell(pFile);
+        if (fileSize == 0) {
+            fclose(pFile);
+            *skip = true;
+            return;
+        }
+        ASSERT_EQ(fseek(pFile, getRandomInt(0l, fileSize - 1), SEEK_SET), 0);
+        int readByte = fgetc(pFile);
+        ASSERT_NE(readByte, EOF);
+        ASSERT_EQ(fseek(pFile, -1, SEEK_CUR), 0);
+        ASSERT_NE(fputc(static_cast<uint8_t>(readByte) ^ (1U << getRandomInt(0, 7)), pFile), EOF);
+        fclose(pFile);
+        *skip = false;
+    }
+
+    // Randomly append bytes to the cache entry.
+    void appendBytesToCache(const std::string& filename, bool* skip) {
+        FILE* pFile = fopen(filename.c_str(), "a");
+        uint32_t appendLength = getRandomInt(1, 256);
+        for (uint32_t i = 0; i < appendLength; i++) {
+            ASSERT_NE(fputc(getRandomInt<uint8_t>(0, 255), pFile), EOF);
+        }
+        fclose(pFile);
+        *skip = false;
+    }
+
+    enum class ExpectedResult { GENERAL_FAILURE, NOT_CRASH };
+
+    // Test if the driver behaves as expected when given corrupted cache or token.
+    // The modifier will be invoked after save to cache but before prepare from cache.
+    // The modifier accepts one pointer argument "skip" as the returning value, indicating
+    // whether the test should be skipped or not.
+    void testCorruptedCache(ExpectedResult expected, std::function<void(bool*)> modifier) {
+        const TestModel& testModel = createTestModel();
+        const Model model = createModel(testModel);
+        if (checkEarlyTermination(model)) return;
+
+        // Save the compilation to cache.
+        {
+            std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+            createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+            createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+            saveModelToCache(model, modelCache, dataCache);
+        }
+
+        bool skip = false;
+        modifier(&skip);
+        if (skip) return;
+
+        // Retrieve preparedModel from cache.
+        {
+            std::shared_ptr<IPreparedModel> preparedModel = nullptr;
+            ErrorStatus status;
+            std::vector<ndk::ScopedFileDescriptor> modelCache, dataCache;
+            createCacheFds(mModelCache, AccessMode::READ_WRITE, &modelCache);
+            createCacheFds(mDataCache, AccessMode::READ_WRITE, &dataCache);
+            prepareModelFromCache(modelCache, dataCache, &preparedModel, &status);
+
+            switch (expected) {
+                case ExpectedResult::GENERAL_FAILURE:
+                    ASSERT_EQ(status, ErrorStatus::GENERAL_FAILURE);
+                    ASSERT_EQ(preparedModel, nullptr);
+                    break;
+                case ExpectedResult::NOT_CRASH:
+                    ASSERT_EQ(preparedModel == nullptr, status != ErrorStatus::NONE);
+                    break;
+                default:
+                    FAIL();
+            }
+        }
+    }
+
+    const uint32_t kSeed = std::get<uint32_t>(GetParam());
+    std::mt19937 generator;
+};
+
+TEST_P(CompilationCachingSecurityTest, CorruptedModelCache) {
+    if (!mIsCachingSupported) return;
+    for (uint32_t i = 0; i < mNumModelCache; i++) {
+        testCorruptedCache(ExpectedResult::GENERAL_FAILURE,
+                           [this, i](bool* skip) { flipOneBitOfCache(mModelCache[i], skip); });
+    }
+}
+
+TEST_P(CompilationCachingSecurityTest, WrongLengthModelCache) {
+    if (!mIsCachingSupported) return;
+    for (uint32_t i = 0; i < mNumModelCache; i++) {
+        testCorruptedCache(ExpectedResult::GENERAL_FAILURE,
+                           [this, i](bool* skip) { appendBytesToCache(mModelCache[i], skip); });
+    }
+}
+
+TEST_P(CompilationCachingSecurityTest, CorruptedDataCache) {
+    if (!mIsCachingSupported) return;
+    for (uint32_t i = 0; i < mNumDataCache; i++) {
+        testCorruptedCache(ExpectedResult::NOT_CRASH,
+                           [this, i](bool* skip) { flipOneBitOfCache(mDataCache[i], skip); });
+    }
+}
+
+TEST_P(CompilationCachingSecurityTest, WrongLengthDataCache) {
+    if (!mIsCachingSupported) return;
+    for (uint32_t i = 0; i < mNumDataCache; i++) {
+        testCorruptedCache(ExpectedResult::NOT_CRASH,
+                           [this, i](bool* skip) { appendBytesToCache(mDataCache[i], skip); });
+    }
+}
+
+TEST_P(CompilationCachingSecurityTest, WrongToken) {
+    if (!mIsCachingSupported) return;
+    testCorruptedCache(ExpectedResult::GENERAL_FAILURE, [this](bool* skip) {
+        // Randomly flip one single bit in mToken.
+        uint32_t ind =
+                getRandomInt(0u, static_cast<uint32_t>(IDevice::BYTE_SIZE_OF_CACHE_TOKEN) - 1);
+        mToken[ind] ^= (1U << getRandomInt(0, 7));
+        *skip = false;
+    });
+}
+
+std::string printCompilationCachingSecurityTest(
+        const testing::TestParamInfo<CompilationCachingSecurityTestParam>& info) {
+    const auto& [namedDevice, operandType, seed] = info.param;
+    const std::string type = (operandType == OperandType::TENSOR_FLOAT32 ? "float32" : "quant8");
+    return gtestCompliantName(getName(namedDevice) + "_" + type + "_" + std::to_string(seed));
+}
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(CompilationCachingSecurityTest);
+INSTANTIATE_TEST_SUITE_P(TestCompilationCaching, CompilationCachingSecurityTest,
+                         testing::Combine(testing::ValuesIn(getNamedDevices()), kOperandTypeChoices,
+                                          testing::Range(0U, 10U)),
+                         printCompilationCachingSecurityTest);
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
new file mode 100644
index 0000000..86d5f3f
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
@@ -0,0 +1,925 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "GeneratedTestHarness.h"
+
+#include <aidl/android/hardware/neuralnetworks/ErrorStatus.h>
+#include <android-base/logging.h>
+#include <android/binder_auto_utils.h>
+#include <android/sync.h>
+#include <gtest/gtest.h>
+
+#include <algorithm>
+#include <chrono>
+#include <iostream>
+#include <iterator>
+#include <numeric>
+#include <vector>
+
+#include <MemoryUtils.h>
+#include <android/binder_status.h>
+#include <nnapi/Result.h>
+#include <nnapi/SharedMemory.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/aidl/Conversions.h>
+#include <nnapi/hal/aidl/Utils.h>
+
+#include "Callbacks.h"
+#include "TestHarness.h"
+#include "Utils.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+namespace nn = ::android::nn;
+using namespace test_helper;
+using implementation::PreparedModelCallback;
+
+namespace {
+
+enum class OutputType { FULLY_SPECIFIED, UNSPECIFIED, INSUFFICIENT, MISSED_DEADLINE };
+
+struct TestConfig {
+    Executor executor;
+    bool measureTiming;
+    OutputType outputType;
+    MemoryType memoryType;
+    // `reportSkipping` indicates if a test should print an info message in case
+    // it is skipped. The field is set to true by default and is set to false in
+    // quantization coupling tests to suppress skipping a test
+    bool reportSkipping;
+    TestConfig(Executor executor, bool measureTiming, OutputType outputType, MemoryType memoryType)
+        : executor(executor),
+          measureTiming(measureTiming),
+          outputType(outputType),
+          memoryType(memoryType),
+          reportSkipping(true) {}
+    TestConfig(Executor executor, bool measureTiming, OutputType outputType, MemoryType memoryType,
+               bool reportSkipping)
+        : executor(executor),
+          measureTiming(measureTiming),
+          outputType(outputType),
+          memoryType(memoryType),
+          reportSkipping(reportSkipping) {}
+};
+
+enum class IOType { INPUT, OUTPUT };
+
+class DeviceMemoryAllocator {
+  public:
+    DeviceMemoryAllocator(const std::shared_ptr<IDevice>& device,
+                          const std::shared_ptr<IPreparedModel>& preparedModel,
+                          const TestModel& testModel)
+        : kDevice(device), kPreparedModel(preparedModel), kTestModel(testModel) {}
+
+    // Allocate device memory for a target input/output operand.
+    // Return {IBuffer object, token} if successful.
+    // Return {nullptr, 0} if device memory is not supported.
+    template <IOType ioType>
+    std::pair<std::shared_ptr<IBuffer>, int32_t> allocate(uint32_t index) {
+        std::pair<std::shared_ptr<IBuffer>, int32_t> buffer;
+        allocateInternal<ioType>(index, &buffer);
+        return buffer;
+    }
+
+  private:
+    template <IOType ioType>
+    void allocateInternal(int32_t index, std::pair<std::shared_ptr<IBuffer>, int32_t>* result) {
+        ASSERT_NE(result, nullptr);
+
+        // Prepare arguments.
+        BufferRole role = {.modelIndex = 0, .ioIndex = index, .frequency = 1.0f};
+        std::vector<BufferRole> inputRoles, outputRoles;
+        if constexpr (ioType == IOType::INPUT) {
+            inputRoles = {role};
+        } else {
+            outputRoles = {role};
+        }
+
+        // Allocate device memory.
+        DeviceBuffer buffer;
+        IPreparedModelParcel parcel;
+        parcel.preparedModel = kPreparedModel;
+        const auto ret = kDevice->allocate({}, {parcel}, inputRoles, outputRoles, &buffer);
+
+        // Check allocation results.
+        if (ret.isOk()) {
+            ASSERT_NE(buffer.buffer, nullptr);
+            ASSERT_GT(buffer.token, 0);
+        } else {
+            ASSERT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
+            ASSERT_EQ(static_cast<ErrorStatus>(ret.getServiceSpecificError()),
+                      ErrorStatus::GENERAL_FAILURE);
+            buffer.buffer = nullptr;
+            buffer.token = 0;
+        }
+
+        // Initialize input data from TestBuffer.
+        if constexpr (ioType == IOType::INPUT) {
+            if (buffer.buffer != nullptr) {
+                // TestBuffer -> Shared memory.
+                const auto& testBuffer =
+                        kTestModel.main.operands[kTestModel.main.inputIndexes[index]].data;
+                ASSERT_GT(testBuffer.size(), 0);
+                const auto sharedMemory = nn::createSharedMemory(testBuffer.size()).value();
+                const auto memory = utils::convert(sharedMemory).value();
+                const auto mapping = nn::map(sharedMemory).value();
+                uint8_t* inputPtr = static_cast<uint8_t*>(std::get<void*>(mapping.pointer));
+                ASSERT_NE(inputPtr, nullptr);
+                const uint8_t* begin = testBuffer.get<uint8_t>();
+                const uint8_t* end = begin + testBuffer.size();
+                std::copy(begin, end, inputPtr);
+
+                // Shared memory -> IBuffer.
+                auto ret = buffer.buffer->copyFrom(memory, {});
+                ASSERT_TRUE(ret.isOk());
+            }
+        }
+        *result = {std::move(buffer.buffer), buffer.token};
+    }
+
+    const std::shared_ptr<IDevice> kDevice;
+    const std::shared_ptr<IPreparedModel> kPreparedModel;
+    const TestModel& kTestModel;
+};
+
+Subgraph createSubgraph(const TestSubgraph& testSubgraph, uint32_t* constCopySize,
+                        std::vector<const TestBuffer*>* constCopies, uint32_t* constRefSize,
+                        std::vector<const TestBuffer*>* constReferences) {
+    CHECK(constCopySize != nullptr);
+    CHECK(constCopies != nullptr);
+    CHECK(constRefSize != nullptr);
+    CHECK(constReferences != nullptr);
+
+    // Operands.
+    std::vector<Operand> operands(testSubgraph.operands.size());
+    for (uint32_t i = 0; i < testSubgraph.operands.size(); i++) {
+        const auto& op = testSubgraph.operands[i];
+
+        DataLocation loc = {};
+        if (op.lifetime == TestOperandLifeTime::CONSTANT_COPY) {
+            loc = {
+                    .poolIndex = 0,
+                    .offset = *constCopySize,
+                    .length = static_cast<int64_t>(op.data.size()),
+            };
+            constCopies->push_back(&op.data);
+            *constCopySize += op.data.alignedSize();
+        } else if (op.lifetime == TestOperandLifeTime::CONSTANT_REFERENCE) {
+            loc = {
+                    .poolIndex = 0,
+                    .offset = *constRefSize,
+                    .length = static_cast<int64_t>(op.data.size()),
+            };
+            constReferences->push_back(&op.data);
+            *constRefSize += op.data.alignedSize();
+        } else if (op.lifetime == TestOperandLifeTime::SUBGRAPH) {
+            loc = {
+                    .poolIndex = 0,
+                    .offset = *op.data.get<uint32_t>(),
+                    .length = 0,
+            };
+        }
+
+        std::optional<OperandExtraParams> extraParams;
+        if (op.type == TestOperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL) {
+            using Tag = OperandExtraParams::Tag;
+            extraParams = OperandExtraParams::make<Tag::channelQuant>(SymmPerChannelQuantParams{
+                    .scales = op.channelQuant.scales,
+                    .channelDim = static_cast<int32_t>(op.channelQuant.channelDim)});
+        }
+
+        operands[i] = {.type = static_cast<OperandType>(op.type),
+                       .dimensions = utils::toSigned(op.dimensions).value(),
+                       .scale = op.scale,
+                       .zeroPoint = op.zeroPoint,
+                       .lifetime = static_cast<OperandLifeTime>(op.lifetime),
+                       .location = loc,
+                       .extraParams = std::move(extraParams)};
+    }
+
+    // Operations.
+    std::vector<Operation> operations(testSubgraph.operations.size());
+    std::transform(testSubgraph.operations.begin(), testSubgraph.operations.end(),
+                   operations.begin(), [](const TestOperation& op) -> Operation {
+                       return {.type = static_cast<OperationType>(op.type),
+                               .inputs = utils::toSigned(op.inputs).value(),
+                               .outputs = utils::toSigned(op.outputs).value()};
+                   });
+
+    return {.operands = std::move(operands),
+            .operations = std::move(operations),
+            .inputIndexes = utils::toSigned(testSubgraph.inputIndexes).value(),
+            .outputIndexes = utils::toSigned(testSubgraph.outputIndexes).value()};
+}
+
+void copyTestBuffers(const std::vector<const TestBuffer*>& buffers, uint8_t* output) {
+    uint32_t offset = 0;
+    for (const TestBuffer* buffer : buffers) {
+        const uint8_t* begin = buffer->get<uint8_t>();
+        const uint8_t* end = begin + buffer->size();
+        std::copy(begin, end, output + offset);
+        offset += buffer->alignedSize();
+    }
+}
+
+}  // namespace
+
+void waitForSyncFence(int syncFd) {
+    constexpr int kInfiniteTimeout = -1;
+    ASSERT_GT(syncFd, 0);
+    int r = sync_wait(syncFd, kInfiniteTimeout);
+    ASSERT_GE(r, 0);
+}
+
+Model createModel(const TestModel& testModel) {
+    uint32_t constCopySize = 0;
+    uint32_t constRefSize = 0;
+    std::vector<const TestBuffer*> constCopies;
+    std::vector<const TestBuffer*> constReferences;
+
+    Subgraph mainSubgraph = createSubgraph(testModel.main, &constCopySize, &constCopies,
+                                           &constRefSize, &constReferences);
+    std::vector<Subgraph> refSubgraphs(testModel.referenced.size());
+    std::transform(testModel.referenced.begin(), testModel.referenced.end(), refSubgraphs.begin(),
+                   [&constCopySize, &constCopies, &constRefSize,
+                    &constReferences](const TestSubgraph& testSubgraph) {
+                       return createSubgraph(testSubgraph, &constCopySize, &constCopies,
+                                             &constRefSize, &constReferences);
+                   });
+
+    // Constant copies.
+    std::vector<uint8_t> operandValues(constCopySize);
+    copyTestBuffers(constCopies, operandValues.data());
+
+    // Shared memory.
+    std::vector<nn::Memory> pools = {};
+    if (constRefSize > 0) {
+        const auto pool = nn::createSharedMemory(constRefSize).value();
+        pools.push_back(pool);
+
+        // load data
+        const auto mappedMemory = nn::map(pool).value();
+        uint8_t* mappedPtr = static_cast<uint8_t*>(std::get<void*>(mappedMemory.pointer));
+        CHECK(mappedPtr != nullptr);
+
+        copyTestBuffers(constReferences, mappedPtr);
+    }
+
+    std::vector<Memory> aidlPools;
+    aidlPools.reserve(pools.size());
+    for (auto& pool : pools) {
+        auto aidlPool = utils::convert(pool).value();
+        aidlPools.push_back(std::move(aidlPool));
+    }
+
+    return {.main = std::move(mainSubgraph),
+            .referenced = std::move(refSubgraphs),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(aidlPools),
+            .relaxComputationFloat32toFloat16 = testModel.isRelaxed};
+}
+
+static bool isOutputSizeGreaterThanOne(const TestModel& testModel, uint32_t index) {
+    const auto byteSize = testModel.main.operands[testModel.main.outputIndexes[index]].data.size();
+    return byteSize > 1u;
+}
+
+static void makeOutputInsufficientSize(uint32_t outputIndex, Request* request) {
+    auto& length = request->outputs[outputIndex].location.length;
+    ASSERT_GT(length, 1u);
+    length -= 1u;
+}
+
+static void makeOutputDimensionsUnspecified(Model* model) {
+    for (auto i : model->main.outputIndexes) {
+        auto& dims = model->main.operands[i].dimensions;
+        std::fill(dims.begin(), dims.end(), 0);
+    }
+}
+
+// Manages the lifetime of memory resources used in an execution.
+class ExecutionContext {
+  public:
+    ExecutionContext(std::shared_ptr<IDevice> device, std::shared_ptr<IPreparedModel> preparedModel)
+        : kDevice(std::move(device)), kPreparedModel(std::move(preparedModel)) {}
+
+    std::optional<Request> createRequest(const TestModel& testModel, MemoryType memoryType);
+    std::vector<TestBuffer> getOutputBuffers(const TestModel& testModel,
+                                             const Request& request) const;
+
+  private:
+    // Get a TestBuffer with data copied from an IBuffer object.
+    void getBuffer(const std::shared_ptr<IBuffer>& buffer, size_t size,
+                   TestBuffer* testBuffer) const;
+
+    static constexpr uint32_t kInputPoolIndex = 0;
+    static constexpr uint32_t kOutputPoolIndex = 1;
+    static constexpr uint32_t kDeviceMemoryBeginIndex = 2;
+
+    const std::shared_ptr<IDevice> kDevice;
+    const std::shared_ptr<IPreparedModel> kPreparedModel;
+    std::unique_ptr<TestMemoryBase> mInputMemory, mOutputMemory;
+    std::vector<std::shared_ptr<IBuffer>> mBuffers;
+};
+
+std::optional<Request> ExecutionContext::createRequest(const TestModel& testModel,
+                                                       MemoryType memoryType) {
+    // Memory pools are organized as:
+    // - 0: Input shared memory pool
+    // - 1: Output shared memory pool
+    // - [2, 2+i): Input device memories
+    // - [2+i, 2+i+o): Output device memories
+    DeviceMemoryAllocator allocator(kDevice, kPreparedModel, testModel);
+    std::vector<int32_t> tokens;
+    mBuffers.clear();
+
+    // Model inputs.
+    std::vector<RequestArgument> inputs(testModel.main.inputIndexes.size());
+    size_t inputSize = 0;
+    for (uint32_t i = 0; i < testModel.main.inputIndexes.size(); i++) {
+        const auto& op = testModel.main.operands[testModel.main.inputIndexes[i]];
+        if (op.data.size() == 0) {
+            // Omitted input.
+            inputs[i] = {.hasNoValue = true};
+            continue;
+        } else if (memoryType == MemoryType::DEVICE) {
+            SCOPED_TRACE("Input index = " + std::to_string(i));
+            auto [buffer, token] = allocator.allocate<IOType::INPUT>(i);
+            if (buffer != nullptr) {
+                DataLocation loc = {.poolIndex = static_cast<int32_t>(mBuffers.size() +
+                                                                      kDeviceMemoryBeginIndex)};
+                mBuffers.push_back(std::move(buffer));
+                tokens.push_back(token);
+                inputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}};
+                continue;
+            }
+        }
+
+        // Reserve shared memory for input.
+        DataLocation loc = {.poolIndex = kInputPoolIndex,
+                            .offset = static_cast<int64_t>(inputSize),
+                            .length = static_cast<int64_t>(op.data.size())};
+        inputSize += op.data.alignedSize();
+        inputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}};
+    }
+
+    // Model outputs.
+    std::vector<RequestArgument> outputs(testModel.main.outputIndexes.size());
+    size_t outputSize = 0;
+    for (uint32_t i = 0; i < testModel.main.outputIndexes.size(); i++) {
+        const auto& op = testModel.main.operands[testModel.main.outputIndexes[i]];
+        if (memoryType == MemoryType::DEVICE) {
+            SCOPED_TRACE("Output index = " + std::to_string(i));
+            auto [buffer, token] = allocator.allocate<IOType::OUTPUT>(i);
+            if (buffer != nullptr) {
+                DataLocation loc = {.poolIndex = static_cast<int32_t>(mBuffers.size() +
+                                                                      kDeviceMemoryBeginIndex)};
+                mBuffers.push_back(std::move(buffer));
+                tokens.push_back(token);
+                outputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}};
+                continue;
+            }
+        }
+
+        // In the case of zero-sized output, we should at least provide a one-byte buffer.
+        // This is because zero-sized tensors are only supported internally to the driver, or
+        // reported in output shapes. It is illegal for the client to pre-specify a zero-sized
+        // tensor as model output. Otherwise, we will have two semantic conflicts:
+        // - "Zero dimension" conflicts with "unspecified dimension".
+        // - "Omitted operand buffer" conflicts with "zero-sized operand buffer".
+        size_t bufferSize = std::max<size_t>(op.data.size(), 1);
+
+        // Reserve shared memory for output.
+        DataLocation loc = {.poolIndex = kOutputPoolIndex,
+                            .offset = static_cast<int64_t>(outputSize),
+                            .length = static_cast<int64_t>(bufferSize)};
+        outputSize += op.data.size() == 0 ? TestBuffer::kAlignment : op.data.alignedSize();
+        outputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}};
+    }
+
+    if (memoryType == MemoryType::DEVICE && mBuffers.empty()) {
+        return std::nullopt;
+    }
+
+    // Memory pools.
+    if (memoryType == MemoryType::BLOB_AHWB) {
+        mInputMemory = TestBlobAHWB::create(std::max<size_t>(inputSize, 1));
+        mOutputMemory = TestBlobAHWB::create(std::max<size_t>(outputSize, 1));
+    } else {
+        mInputMemory = TestAshmem::create(std::max<size_t>(inputSize, 1));
+        mOutputMemory = TestAshmem::create(std::max<size_t>(outputSize, 1));
+    }
+    CHECK_NE(mInputMemory, nullptr);
+    CHECK_NE(mOutputMemory, nullptr);
+    std::vector<RequestMemoryPool> pools;
+    pools.reserve(kDeviceMemoryBeginIndex + mBuffers.size());
+
+    auto copiedInputMemory = utils::clone(*mInputMemory->getAidlMemory());
+    CHECK(copiedInputMemory.has_value()) << copiedInputMemory.error().message;
+    auto copiedOutputMemory = utils::clone(*mOutputMemory->getAidlMemory());
+    CHECK(copiedOutputMemory.has_value()) << copiedOutputMemory.error().message;
+
+    pools.push_back(RequestMemoryPool::make<RequestMemoryPool::Tag::pool>(
+            std::move(copiedInputMemory).value()));
+    pools.push_back(RequestMemoryPool::make<RequestMemoryPool::Tag::pool>(
+            std::move(copiedOutputMemory).value()));
+    for (const auto& token : tokens) {
+        pools.push_back(RequestMemoryPool::make<RequestMemoryPool::Tag::token>(token));
+    }
+
+    // Copy input data to the input shared memory pool.
+    uint8_t* inputPtr = mInputMemory->getPointer();
+    for (uint32_t i = 0; i < testModel.main.inputIndexes.size(); i++) {
+        if (!inputs[i].hasNoValue && inputs[i].location.poolIndex == kInputPoolIndex) {
+            const auto& op = testModel.main.operands[testModel.main.inputIndexes[i]];
+            const uint8_t* begin = op.data.get<uint8_t>();
+            const uint8_t* end = begin + op.data.size();
+            std::copy(begin, end, inputPtr + inputs[i].location.offset);
+        }
+    }
+    return Request{
+            .inputs = std::move(inputs), .outputs = std::move(outputs), .pools = std::move(pools)};
+}
+
+std::vector<TestBuffer> ExecutionContext::getOutputBuffers(const TestModel& testModel,
+                                                           const Request& request) const {
+    // Copy out output results.
+    uint8_t* outputPtr = mOutputMemory->getPointer();
+    std::vector<TestBuffer> outputBuffers;
+    for (uint32_t i = 0; i < request.outputs.size(); i++) {
+        const auto& outputLoc = request.outputs[i].location;
+        if (outputLoc.poolIndex == kOutputPoolIndex) {
+            outputBuffers.emplace_back(outputLoc.length, outputPtr + outputLoc.offset);
+        } else {
+            const auto& op = testModel.main.operands[testModel.main.outputIndexes[i]];
+            if (op.data.size() == 0) {
+                outputBuffers.emplace_back(0, nullptr);
+            } else {
+                SCOPED_TRACE("Output index = " + std::to_string(i));
+                const uint32_t bufferIndex = outputLoc.poolIndex - kDeviceMemoryBeginIndex;
+                TestBuffer buffer;
+                getBuffer(mBuffers[bufferIndex], op.data.size(), &buffer);
+                outputBuffers.push_back(std::move(buffer));
+            }
+        }
+    }
+    return outputBuffers;
+}
+
+// Get a TestBuffer with data copied from an IBuffer object.
+void ExecutionContext::getBuffer(const std::shared_ptr<IBuffer>& buffer, size_t size,
+                                 TestBuffer* testBuffer) const {
+    // IBuffer -> Shared memory.
+    auto sharedMemory = nn::createSharedMemory(size).value();
+    auto aidlMemory = utils::convert(sharedMemory).value();
+    const auto ret = buffer->copyTo(aidlMemory);
+    ASSERT_TRUE(ret.isOk());
+
+    // Shared memory -> TestBuffer.
+    const auto outputMemory = nn::map(sharedMemory).value();
+    const uint8_t* outputPtr = std::visit(
+            [](auto* ptr) { return static_cast<const uint8_t*>(ptr); }, outputMemory.pointer);
+    ASSERT_NE(outputPtr, nullptr);
+    ASSERT_NE(testBuffer, nullptr);
+    *testBuffer = TestBuffer(size, outputPtr);
+}
+
+static bool hasZeroSizedOutput(const TestModel& testModel) {
+    return std::any_of(testModel.main.outputIndexes.begin(), testModel.main.outputIndexes.end(),
+                       [&testModel](uint32_t index) {
+                           return testModel.main.operands[index].data.size() == 0;
+                       });
+}
+
+void EvaluatePreparedModel(const std::shared_ptr<IDevice>& device,
+                           const std::shared_ptr<IPreparedModel>& preparedModel,
+                           const TestModel& testModel, const TestConfig& testConfig,
+                           bool* skipped = nullptr) {
+    if (skipped != nullptr) {
+        *skipped = false;
+    }
+    // If output0 does not have size larger than one byte, we can not test with insufficient buffer.
+    if (testConfig.outputType == OutputType::INSUFFICIENT &&
+        !isOutputSizeGreaterThanOne(testModel, 0)) {
+        return;
+    }
+
+    ExecutionContext context(device, preparedModel);
+    auto maybeRequest = context.createRequest(testModel, testConfig.memoryType);
+    // Skip if testing memory domain but no device memory has been allocated.
+    if (!maybeRequest.has_value()) {
+        return;
+    }
+
+    Request request = std::move(maybeRequest).value();
+
+    constexpr uint32_t kInsufficientOutputIndex = 0;
+    if (testConfig.outputType == OutputType::INSUFFICIENT) {
+        makeOutputInsufficientSize(kInsufficientOutputIndex, &request);
+    }
+
+    int64_t loopTimeoutDuration = kOmittedTimeoutDuration;
+    // OutputType::MISSED_DEADLINE is only used by
+    // TestKind::INTINITE_LOOP_TIMEOUT tests to verify that an infinite loop is
+    // aborted after a timeout.
+    if (testConfig.outputType == OutputType::MISSED_DEADLINE) {
+        // Override the default loop timeout duration with a small value to
+        // speed up test execution.
+        constexpr int64_t kMillisecond = 1'000'000;
+        loopTimeoutDuration = 1 * kMillisecond;
+    }
+
+    ErrorStatus executionStatus;
+    std::vector<OutputShape> outputShapes;
+    Timing timing = kNoTiming;
+    switch (testConfig.executor) {
+        case Executor::SYNC: {
+            SCOPED_TRACE("synchronous");
+
+            ExecutionResult executionResult;
+            // execute
+            const auto ret = preparedModel->executeSynchronously(request, testConfig.measureTiming,
+                                                                 kNoDeadline, loopTimeoutDuration,
+                                                                 &executionResult);
+            ASSERT_TRUE(ret.isOk() || ret.getExceptionCode() == EX_SERVICE_SPECIFIC)
+                    << ret.getDescription();
+            if (ret.isOk()) {
+                executionStatus = executionResult.outputSufficientSize
+                                          ? ErrorStatus::NONE
+                                          : ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
+                outputShapes = std::move(executionResult.outputShapes);
+                timing = executionResult.timing;
+            } else {
+                executionStatus = static_cast<ErrorStatus>(ret.getServiceSpecificError());
+            }
+            break;
+        }
+        case Executor::FENCED: {
+            SCOPED_TRACE("fenced");
+            ErrorStatus result = ErrorStatus::NONE;
+            ndk::ScopedFileDescriptor syncFenceFd;
+            std::shared_ptr<IFencedExecutionCallback> fencedCallback;
+            auto ret = preparedModel->executeFenced(request, {}, testConfig.measureTiming,
+                                                    kNoDeadline, loopTimeoutDuration, kNoDuration,
+                                                    &syncFenceFd, &fencedCallback);
+            ASSERT_TRUE(ret.isOk() || ret.getExceptionCode() == EX_SERVICE_SPECIFIC)
+                    << ret.getDescription();
+            if (!ret.isOk()) {
+                result = static_cast<ErrorStatus>(ret.getServiceSpecificError());
+                executionStatus = result;
+            } else if (syncFenceFd.get() != -1) {
+                std::vector<ndk::ScopedFileDescriptor> waitFor;
+                auto dupFd = dup(syncFenceFd.get());
+                ASSERT_NE(dupFd, -1);
+                waitFor.emplace_back(dupFd);
+                // If a sync fence is returned, try start another run waiting for the sync fence.
+                ret = preparedModel->executeFenced(request, waitFor, testConfig.measureTiming,
+                                                   kNoDeadline, loopTimeoutDuration, kNoDuration,
+                                                   &syncFenceFd, &fencedCallback);
+                ASSERT_TRUE(ret.isOk());
+                waitForSyncFence(syncFenceFd.get());
+            }
+            if (result == ErrorStatus::NONE) {
+                ASSERT_NE(fencedCallback, nullptr);
+                Timing timingFenced;
+                auto ret =
+                        fencedCallback->getExecutionInfo(&timing, &timingFenced, &executionStatus);
+                ASSERT_TRUE(ret.isOk());
+            }
+            break;
+        }
+        default: {
+            FAIL() << "Unsupported execution mode for AIDL interface.";
+        }
+    }
+
+    if (testConfig.outputType != OutputType::FULLY_SPECIFIED &&
+        executionStatus == ErrorStatus::GENERAL_FAILURE) {
+        if (skipped != nullptr) {
+            *skipped = true;
+        }
+        if (!testConfig.reportSkipping) {
+            return;
+        }
+        LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
+                     "execute model that it does not support.";
+        std::cout << "[          ]   Early termination of test because vendor service cannot "
+                     "execute model that it does not support."
+                  << std::endl;
+        GTEST_SKIP();
+    }
+    if (!testConfig.measureTiming) {
+        EXPECT_EQ(timing, kNoTiming);
+    } else {
+        if (timing.timeOnDevice != -1 && timing.timeInDriver != -1) {
+            EXPECT_LE(timing.timeOnDevice, timing.timeInDriver);
+        }
+    }
+
+    switch (testConfig.outputType) {
+        case OutputType::FULLY_SPECIFIED:
+            if (testConfig.executor == Executor::FENCED && hasZeroSizedOutput(testModel)) {
+                // Executor::FENCED does not support zero-sized output.
+                ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionStatus);
+                return;
+            }
+            // If the model output operands are fully specified, outputShapes must be either
+            // either empty, or have the same number of elements as the number of outputs.
+            ASSERT_EQ(ErrorStatus::NONE, executionStatus);
+            ASSERT_TRUE(outputShapes.size() == 0 ||
+                        outputShapes.size() == testModel.main.outputIndexes.size());
+            break;
+        case OutputType::UNSPECIFIED:
+            if (testConfig.executor == Executor::FENCED) {
+                // For Executor::FENCED, the output shape must be fully specified.
+                ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionStatus);
+                return;
+            }
+            // If the model output operands are not fully specified, outputShapes must have
+            // the same number of elements as the number of outputs.
+            ASSERT_EQ(ErrorStatus::NONE, executionStatus);
+            ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size());
+            break;
+        case OutputType::INSUFFICIENT:
+            if (testConfig.executor == Executor::FENCED) {
+                // For Executor::FENCED, the output shape must be fully specified.
+                ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionStatus);
+                return;
+            }
+            ASSERT_EQ(ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, executionStatus);
+            ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size());
+            // Check that all returned output dimensions are at least as fully specified as the
+            // union of the information about the corresponding operand in the model and in the
+            // request. In this test, all model outputs have known rank with all dimensions
+            // unspecified, and no dimensional information is provided in the request.
+            for (uint32_t i = 0; i < outputShapes.size(); i++) {
+                ASSERT_EQ(outputShapes[i].isSufficient, i != kInsufficientOutputIndex);
+                const auto& actual = outputShapes[i].dimensions;
+                const auto& golden =
+                        testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;
+                ASSERT_EQ(actual.size(), golden.size());
+                for (uint32_t j = 0; j < actual.size(); j++) {
+                    if (actual[j] == 0) continue;
+                    EXPECT_EQ(actual[j], golden[j]) << "index: " << j;
+                }
+            }
+            return;
+        case OutputType::MISSED_DEADLINE:
+            ASSERT_TRUE(executionStatus == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
+                        executionStatus == ErrorStatus::MISSED_DEADLINE_PERSISTENT)
+                    << "executionStatus = " << executionStatus;
+            return;
+    }
+
+    // Go through all outputs, check returned output shapes.
+    for (uint32_t i = 0; i < outputShapes.size(); i++) {
+        EXPECT_TRUE(outputShapes[i].isSufficient);
+        const auto& expect = testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;
+        const auto unsignedActual = nn::toUnsigned(outputShapes[i].dimensions);
+        ASSERT_TRUE(unsignedActual.has_value());
+        const std::vector<uint32_t>& actual = unsignedActual.value();
+        EXPECT_EQ(expect, actual);
+    }
+
+    // Retrieve execution results.
+    const std::vector<TestBuffer> outputs = context.getOutputBuffers(testModel, request);
+
+    // We want "close-enough" results.
+    checkResults(testModel, outputs);
+}
+
+void EvaluatePreparedModel(const std::shared_ptr<IDevice>& device,
+                           const std::shared_ptr<IPreparedModel>& preparedModel,
+                           const TestModel& testModel, TestKind testKind) {
+    std::vector<OutputType> outputTypesList;
+    std::vector<bool> measureTimingList;
+    std::vector<Executor> executorList;
+    std::vector<MemoryType> memoryTypeList;
+
+    switch (testKind) {
+        case TestKind::GENERAL: {
+            outputTypesList = {OutputType::FULLY_SPECIFIED};
+            measureTimingList = {false, true};
+            executorList = {Executor::SYNC};
+            memoryTypeList = {MemoryType::ASHMEM};
+        } break;
+        case TestKind::DYNAMIC_SHAPE: {
+            outputTypesList = {OutputType::UNSPECIFIED, OutputType::INSUFFICIENT};
+            measureTimingList = {false, true};
+            executorList = {Executor::SYNC, Executor::FENCED};
+            memoryTypeList = {MemoryType::ASHMEM};
+        } break;
+        case TestKind::MEMORY_DOMAIN: {
+            outputTypesList = {OutputType::FULLY_SPECIFIED};
+            measureTimingList = {false};
+            executorList = {Executor::SYNC, Executor::FENCED};
+            memoryTypeList = {MemoryType::BLOB_AHWB, MemoryType::DEVICE};
+        } break;
+        case TestKind::FENCED_COMPUTE: {
+            outputTypesList = {OutputType::FULLY_SPECIFIED};
+            measureTimingList = {false, true};
+            executorList = {Executor::FENCED};
+            memoryTypeList = {MemoryType::ASHMEM};
+        } break;
+        case TestKind::QUANTIZATION_COUPLING: {
+            LOG(FATAL) << "Wrong TestKind for EvaluatePreparedModel";
+            return;
+        } break;
+        case TestKind::INTINITE_LOOP_TIMEOUT: {
+            outputTypesList = {OutputType::MISSED_DEADLINE};
+            measureTimingList = {false, true};
+            executorList = {Executor::SYNC, Executor::FENCED};
+            memoryTypeList = {MemoryType::ASHMEM};
+        } break;
+    }
+
+    for (const OutputType outputType : outputTypesList) {
+        for (const bool measureTiming : measureTimingList) {
+            for (const Executor executor : executorList) {
+                for (const MemoryType memoryType : memoryTypeList) {
+                    const TestConfig testConfig(executor, measureTiming, outputType, memoryType);
+                    EvaluatePreparedModel(device, preparedModel, testModel, testConfig);
+                }
+            }
+        }
+    }
+}
+
+void EvaluatePreparedCoupledModels(const std::shared_ptr<IDevice>& device,
+                                   const std::shared_ptr<IPreparedModel>& preparedModel,
+                                   const TestModel& testModel,
+                                   const std::shared_ptr<IPreparedModel>& preparedCoupledModel,
+                                   const TestModel& coupledModel) {
+    const std::vector<OutputType> outputTypesList = {OutputType::FULLY_SPECIFIED};
+    const std::vector<bool> measureTimingList = {false, true};
+    const std::vector<Executor> executorList = {Executor::SYNC, Executor::FENCED};
+
+    for (const OutputType outputType : outputTypesList) {
+        for (const bool measureTiming : measureTimingList) {
+            for (const Executor executor : executorList) {
+                const TestConfig testConfig(executor, measureTiming, outputType, MemoryType::ASHMEM,
+                                            /*reportSkipping=*/false);
+                bool baseSkipped = false;
+                EvaluatePreparedModel(device, preparedModel, testModel, testConfig, &baseSkipped);
+                bool coupledSkipped = false;
+                EvaluatePreparedModel(device, preparedCoupledModel, coupledModel, testConfig,
+                                      &coupledSkipped);
+                ASSERT_EQ(baseSkipped, coupledSkipped);
+                if (baseSkipped) {
+                    LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
+                                 "execute model that it does not support.";
+                    std::cout << "[          ]   Early termination of test because vendor service "
+                                 "cannot "
+                                 "execute model that it does not support."
+                              << std::endl;
+                    GTEST_SKIP();
+                }
+            }
+        }
+    }
+}
+
+void Execute(const std::shared_ptr<IDevice>& device, const TestModel& testModel,
+             TestKind testKind) {
+    Model model = createModel(testModel);
+    if (testKind == TestKind::DYNAMIC_SHAPE) {
+        makeOutputDimensionsUnspecified(&model);
+    }
+
+    std::shared_ptr<IPreparedModel> preparedModel;
+    switch (testKind) {
+        case TestKind::GENERAL:
+        case TestKind::DYNAMIC_SHAPE:
+        case TestKind::MEMORY_DOMAIN:
+        case TestKind::FENCED_COMPUTE:
+        case TestKind::INTINITE_LOOP_TIMEOUT: {
+            createPreparedModel(device, model, &preparedModel);
+            if (preparedModel == nullptr) return;
+            EvaluatePreparedModel(device, preparedModel, testModel, testKind);
+        } break;
+        case TestKind::QUANTIZATION_COUPLING: {
+            ASSERT_TRUE(testModel.hasQuant8CoupledOperands());
+            createPreparedModel(device, model, &preparedModel,
+                                /*reportSkipping*/ false);
+            TestModel signedQuantizedModel = convertQuant8AsymmOperandsToSigned(testModel);
+            std::shared_ptr<IPreparedModel> preparedCoupledModel;
+            createPreparedModel(device, createModel(signedQuantizedModel), &preparedCoupledModel,
+                                /*reportSkipping*/ false);
+            // If we couldn't prepare a model with unsigned quantization, we must
+            // fail to prepare a model with signed quantization as well.
+            if (preparedModel == nullptr) {
+                ASSERT_EQ(preparedCoupledModel, nullptr);
+                // If we failed to prepare both of the models, we can safely skip
+                // the test.
+                LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
+                             "prepare model that it does not support.";
+                std::cout
+                        << "[          ]   Early termination of test because vendor service cannot "
+                           "prepare model that it does not support."
+                        << std::endl;
+                GTEST_SKIP();
+            }
+            ASSERT_NE(preparedCoupledModel, nullptr);
+            EvaluatePreparedCoupledModels(device, preparedModel, testModel, preparedCoupledModel,
+                                          signedQuantizedModel);
+        } break;
+    }
+}
+
+void GeneratedTestBase::SetUp() {
+    testing::TestWithParam<GeneratedTestParam>::SetUp();
+    ASSERT_NE(kDevice, nullptr);
+}
+
+std::vector<NamedModel> getNamedModels(const FilterFn& filter) {
+    return TestModelManager::get().getTestModels(filter);
+}
+
+std::vector<NamedModel> getNamedModels(const FilterNameFn& filter) {
+    return TestModelManager::get().getTestModels(filter);
+}
+
+std::string printGeneratedTest(const testing::TestParamInfo<GeneratedTestParam>& info) {
+    const auto& [namedDevice, namedModel] = info.param;
+    return gtestCompliantName(getName(namedDevice) + "_" + getName(namedModel));
+}
+
+// Tag for the generated tests
+class GeneratedTest : public GeneratedTestBase {};
+
+// Tag for the dynamic output shape tests
+class DynamicOutputShapeTest : public GeneratedTest {};
+
+// Tag for the memory domain tests
+class MemoryDomainTest : public GeneratedTest {};
+
+// Tag for the fenced compute tests
+class FencedComputeTest : public GeneratedTest {};
+
+// Tag for the dynamic output shape tests
+class QuantizationCouplingTest : public GeneratedTest {};
+
+// Tag for the loop timeout tests
+class InfiniteLoopTimeoutTest : public GeneratedTest {};
+
+TEST_P(GeneratedTest, Test) {
+    Execute(kDevice, kTestModel, TestKind::GENERAL);
+}
+
+TEST_P(DynamicOutputShapeTest, Test) {
+    Execute(kDevice, kTestModel, TestKind::DYNAMIC_SHAPE);
+}
+
+TEST_P(MemoryDomainTest, Test) {
+    Execute(kDevice, kTestModel, TestKind::MEMORY_DOMAIN);
+}
+
+TEST_P(FencedComputeTest, Test) {
+    Execute(kDevice, kTestModel, TestKind::FENCED_COMPUTE);
+}
+
+TEST_P(QuantizationCouplingTest, Test) {
+    Execute(kDevice, kTestModel, TestKind::QUANTIZATION_COUPLING);
+}
+
+TEST_P(InfiniteLoopTimeoutTest, Test) {
+    Execute(kDevice, kTestModel, TestKind::INTINITE_LOOP_TIMEOUT);
+}
+
+INSTANTIATE_GENERATED_TEST(GeneratedTest,
+                           [](const TestModel& testModel) { return !testModel.expectFailure; });
+
+INSTANTIATE_GENERATED_TEST(DynamicOutputShapeTest, [](const TestModel& testModel) {
+    return !testModel.expectFailure && !testModel.hasScalarOutputs();
+});
+
+INSTANTIATE_GENERATED_TEST(MemoryDomainTest,
+                           [](const TestModel& testModel) { return !testModel.expectFailure; });
+
+INSTANTIATE_GENERATED_TEST(FencedComputeTest,
+                           [](const TestModel& testModel) { return !testModel.expectFailure; });
+
+INSTANTIATE_GENERATED_TEST(QuantizationCouplingTest, [](const TestModel& testModel) {
+    return !testModel.expectFailure && testModel.hasQuant8CoupledOperands() &&
+           testModel.main.operations.size() == 1;
+});
+
+INSTANTIATE_GENERATED_TEST(InfiniteLoopTimeoutTest, [](const TestModel& testModel) {
+    return testModel.isInfiniteLoopTimeoutTest();
+});
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.h b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.h
new file mode 100644
index 0000000..ad40f06
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.h
@@ -0,0 +1,88 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_NEURALNETWORKS_AIDL_GENERATED_TEST_HARNESS_H
+#define ANDROID_HARDWARE_NEURALNETWORKS_AIDL_GENERATED_TEST_HARNESS_H
+
+#include <functional>
+#include <vector>
+
+#include <TestHarness.h>
+#include "Utils.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using NamedModel = Named<const test_helper::TestModel*>;
+using GeneratedTestParam = std::tuple<NamedDevice, NamedModel>;
+
+class GeneratedTestBase : public testing::TestWithParam<GeneratedTestParam> {
+  protected:
+    void SetUp() override;
+    const std::shared_ptr<IDevice> kDevice = getData(std::get<NamedDevice>(GetParam()));
+    const test_helper::TestModel& kTestModel = *getData(std::get<NamedModel>(GetParam()));
+};
+
+using FilterFn = std::function<bool(const test_helper::TestModel&)>;
+std::vector<NamedModel> getNamedModels(const FilterFn& filter);
+
+using FilterNameFn = std::function<bool(const std::string&)>;
+std::vector<NamedModel> getNamedModels(const FilterNameFn& filter);
+
+std::string printGeneratedTest(const testing::TestParamInfo<GeneratedTestParam>& info);
+
+#define INSTANTIATE_GENERATED_TEST(TestSuite, filter)                                     \
+    GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(TestSuite);                             \
+    INSTANTIATE_TEST_SUITE_P(TestGenerated, TestSuite,                                    \
+                             testing::Combine(testing::ValuesIn(getNamedDevices()),       \
+                                              testing::ValuesIn(getNamedModels(filter))), \
+                             printGeneratedTest)
+
+// Tag for the validation tests, instantiated in VtsHalNeuralnetworks.cpp.
+// TODO: Clean up the hierarchy for ValidationTest.
+class ValidationTest : public GeneratedTestBase {};
+
+Model createModel(const test_helper::TestModel& testModel);
+
+void PrepareModel(const std::shared_ptr<IDevice>& device, const Model& model,
+                  std::shared_ptr<IPreparedModel>* preparedModel);
+
+enum class TestKind {
+    // Runs a test model and compares the results to a golden data
+    GENERAL,
+    // Same as GENERAL but sets dimensions for the output tensors to zeros
+    DYNAMIC_SHAPE,
+    // Same as GENERAL but use device memories for inputs and outputs
+    MEMORY_DOMAIN,
+    // Same as GENERAL but use executeFenced for exeuction
+    FENCED_COMPUTE,
+    // Tests if quantized model with TENSOR_QUANT8_ASYMM produces the same result
+    // (OK/SKIPPED/FAILED) as the model with all such tensors converted to
+    // TENSOR_QUANT8_ASYMM_SIGNED.
+    QUANTIZATION_COUPLING,
+    // Runs a test model and verifies that MISSED_DEADLINE_* is returned.
+    INTINITE_LOOP_TIMEOUT
+};
+
+void EvaluatePreparedModel(const std::shared_ptr<IDevice>& device,
+                           const std::shared_ptr<IPreparedModel>& preparedModel,
+                           const test_helper::TestModel& testModel, TestKind testKind);
+
+void waitForSyncFence(int syncFd);
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
+
+#endif  // ANDROID_HARDWARE_NEURALNETWORKS_AIDL_GENERATED_TEST_HARNESS_H
diff --git a/neuralnetworks/aidl/vts/functional/LogTestCaseToLogcat.h b/neuralnetworks/aidl/vts/functional/LogTestCaseToLogcat.h
new file mode 100644
index 0000000..c9fd432
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/LogTestCaseToLogcat.h
@@ -0,0 +1,40 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_NEURALNETWORKS_AIDL_LOG_TEST_CASE_TO_LOGCAT_H
+#define ANDROID_HARDWARE_NEURALNETWORKS_AIDL_LOG_TEST_CASE_TO_LOGCAT_H
+
+#include <android-base/logging.h>
+#include <gtest/gtest.h>
+
+namespace aidl::android::hardware::neuralnetworks {
+
+class LogTestCaseToLogcat : public ::testing::EmptyTestEventListener {
+  public:
+    void OnTestStart(const ::testing::TestInfo& test_info) override {
+        LOG(INFO) << "[Test Case] " << test_info.test_suite_name() << "." << test_info.name()
+                  << " BEGIN";
+    }
+
+    void OnTestEnd(const ::testing::TestInfo& test_info) override {
+        LOG(INFO) << "[Test Case] " << test_info.test_suite_name() << "." << test_info.name()
+                  << " END";
+    }
+};
+
+}  // namespace aidl::android::hardware::neuralnetworks
+
+#endif  // ANDROID_HARDWARE_NEURALNETWORKS_AIDL_LOG_TEST_CASE_TO_LOGCAT_H
diff --git a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
new file mode 100644
index 0000000..a37a0ca
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
@@ -0,0 +1,1176 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_aidl_hal_test"
+
+#include <android-base/logging.h>
+#include <android/binder_auto_utils.h>
+#include <android/binder_interface_utils.h>
+#include <android/binder_status.h>
+#include <gtest/gtest.h>
+
+#include <LegacyUtils.h>
+#include <TestHarness.h>
+#include <Utils.h>
+#include <nnapi/SharedMemory.h>
+#include <nnapi/hal/aidl/Conversions.h>
+#include <nnapi/hal/aidl/Utils.h>
+
+#include "AidlHalInterfaces.h"
+#include "Callbacks.h"
+#include "GeneratedTestHarness.h"
+#include "MemoryUtils.h"
+#include "Utils.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using namespace test_helper;
+using implementation::PreparedModelCallback;
+
+namespace {
+
+// An AIDL driver is likely to support at least one of the following operand types.
+const std::vector<TestOperandType> kTestOperandTypeChoicesVector = {
+        TestOperandType::TENSOR_FLOAT32,
+        TestOperandType::TENSOR_FLOAT16,
+        TestOperandType::TENSOR_QUANT8_ASYMM,
+        TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
+};
+const auto kTestOperandTypeChoices = testing::ValuesIn(kTestOperandTypeChoicesVector);
+// TODO(b/179270601): restore kNamedDeviceChoices
+
+bool isInChoices(TestOperandType type) {
+    return std::count(kTestOperandTypeChoicesVector.begin(), kTestOperandTypeChoicesVector.end(),
+                      type) > 0;
+}
+
+bool isFloat(TestOperandType type) {
+    CHECK(isInChoices(type));
+    return type == TestOperandType::TENSOR_FLOAT32 || type == TestOperandType::TENSOR_FLOAT16;
+}
+
+// Create placeholder buffers for model constants as well as inputs and outputs.
+// We only care about the size here because we will not check accuracy in validation tests.
+void createDummyData(TestModel* testModel) {
+    for (auto& operand : testModel->main.operands) {
+        if (operand.data != nullptr) continue;
+        switch (operand.lifetime) {
+            case TestOperandLifeTime::SUBGRAPH_INPUT:
+            case TestOperandLifeTime::SUBGRAPH_OUTPUT:
+            case TestOperandLifeTime::CONSTANT_COPY:
+            case TestOperandLifeTime::CONSTANT_REFERENCE: {
+                const uint32_t size = nn::nonExtensionOperandSizeOfData(
+                        static_cast<nn::OperandType>(operand.type), operand.dimensions);
+                operand.data = TestBuffer(size);
+            } break;
+            default:
+                break;
+        }
+    }
+}
+
+TestOperand createInt32Scalar(int32_t value) {
+    return {
+            .type = TestOperandType::INT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = TestOperandLifeTime::CONSTANT_COPY,
+            .data = TestBuffer::createFromVector<int32_t>({value}),
+    };
+}
+
+// Construct a test model with multiple CONV_2D operations with the given operand as inputs.
+// The dimensions of the filters are chosen to ensure outputs has the same dimensions as inputs.
+// We choose CONV_2D operation because it is commonly supported by most drivers.
+TestModel createConvModel(const TestOperand& operand, uint32_t numOperations) {
+    CHECK(isInChoices(operand.type));
+
+    TestOperand weight = {.type = operand.type,
+                          .dimensions = {operand.dimensions[3], 3, 3, operand.dimensions[3]},
+                          .numberOfConsumers = 1,
+                          .scale = isFloat(operand.type) ? 0.0f : 1.0f,
+                          .zeroPoint = 0,
+                          .lifetime = TestOperandLifeTime::CONSTANT_COPY};
+
+    TestOperand bias = {
+            .type = isFloat(operand.type) ? operand.type : TestOperandType::TENSOR_INT32,
+            .dimensions = {operand.dimensions[3]},
+            .numberOfConsumers = 1,
+            .scale = operand.scale * weight.scale,
+            .zeroPoint = 0,
+            .lifetime = TestOperandLifeTime::CONSTANT_COPY};
+
+    TestOperand output = operand;
+    output.numberOfConsumers = 0;
+    output.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT;
+
+    const std::vector<TestOperand> operands = {
+            operand,
+            std::move(weight),
+            std::move(bias),
+            createInt32Scalar(1),  // same padding
+            createInt32Scalar(1),  // width stride
+            createInt32Scalar(1),  // height stride
+            createInt32Scalar(0),  // activation = NONE
+            std::move(output),
+    };
+
+    TestModel model;
+    for (uint32_t i = 0; i < numOperations; i++) {
+        model.main.operands.insert(model.main.operands.end(), operands.begin(), operands.end());
+        const uint32_t inputIndex = operands.size() * i;
+        const uint32_t outputIndex = inputIndex + operands.size() - 1;
+        std::vector<uint32_t> inputs(operands.size() - 1);
+        std::iota(inputs.begin(), inputs.end(), inputIndex);
+        model.main.operations.push_back({.type = TestOperationType::CONV_2D,
+                                         .inputs = std::move(inputs),
+                                         .outputs = {outputIndex}});
+        model.main.inputIndexes.push_back(inputIndex);
+        model.main.outputIndexes.push_back(outputIndex);
+    }
+    createDummyData(&model);
+    return model;
+}
+
+// Construct a test model with a single ADD operation with the given operand as input0 and input1.
+// This is to cover additional cases that the CONV_2D model does not support, e.g. arbitrary input
+// operand rank, scalar input operand. We choose ADD operation because it is commonly supported by
+// most drivers.
+TestModel createSingleAddModel(const TestOperand& operand) {
+    CHECK(isInChoices(operand.type));
+
+    TestOperand act = {
+            .type = TestOperandType::INT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+    };
+
+    TestOperand output = operand;
+    output.numberOfConsumers = 0;
+    output.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT;
+
+    TestModel model = {
+            .main =
+                    {
+                            .operands =
+                                    {
+                                            operand,
+                                            operand,
+                                            std::move(act),
+                                            output,
+                                    },
+                            .operations = {{.type = TestOperationType::ADD,
+                                            .inputs = {0, 1, 2},
+                                            .outputs = {3}}},
+                            .inputIndexes = {0, 1, 2},
+                            .outputIndexes = {3},
+                    },
+    };
+    createDummyData(&model);
+    return model;
+}
+
+// A placeholder invalid IPreparedModel class for MemoryDomainAllocateTest.InvalidPreparedModel
+class InvalidPreparedModel : public BnPreparedModel {
+  public:
+    ndk::ScopedAStatus executeSynchronously(const Request&, bool, int64_t, int64_t,
+                                            ExecutionResult*) override {
+        return ndk::ScopedAStatus::fromServiceSpecificError(
+                static_cast<int32_t>(ErrorStatus::GENERAL_FAILURE));
+    }
+    ndk::ScopedAStatus executeFenced(const Request&, const std::vector<ndk::ScopedFileDescriptor>&,
+                                     bool, int64_t, int64_t, int64_t, ndk::ScopedFileDescriptor*,
+                                     std::shared_ptr<IFencedExecutionCallback>*) override {
+        return ndk::ScopedAStatus::fromServiceSpecificError(
+                static_cast<int32_t>(ErrorStatus::GENERAL_FAILURE));
+    }
+};
+
+template <typename... Args>
+std::vector<RequestMemoryPool> createRequestMemoryPools(const Args&... pools) {
+    std::vector<RequestMemoryPool> memoryPools;
+    memoryPools.reserve(sizeof...(Args));
+    // This fold operator calls push_back on each of the function arguments.
+    (memoryPools.push_back(utils::clone(pools).value()), ...);
+    return memoryPools;
+};
+
+}  // namespace
+
+class MemoryDomainTestBase : public testing::Test {
+  protected:
+    MemoryDomainTestBase(std::shared_ptr<IDevice> device, TestOperandType type)
+        : kDevice(std::move(device)),
+          kTestOperandType(type),
+          kTestOperand(kTestOperandMap.at(type)),
+          kTestOperandDataSize(nn::nonExtensionOperandSizeOfData(static_cast<nn::OperandType>(type),
+                                                                 kTestOperand.dimensions)) {}
+
+    void SetUp() override {
+        testing::Test::SetUp();
+        ASSERT_NE(kDevice, nullptr);
+    }
+
+    std::shared_ptr<IPreparedModel> createConvPreparedModel(const TestOperand& testOperand,
+                                                            uint32_t numOperations = 1) {
+        const TestModel testModel = createConvModel(testOperand, numOperations);
+        const Model model = createModel(testModel);
+        std::shared_ptr<IPreparedModel> preparedModel;
+        createPreparedModel(kDevice, model, &preparedModel, /*reportSkipping=*/false);
+        return preparedModel;
+    }
+
+    std::shared_ptr<IPreparedModel> createAddPreparedModel(const TestOperand& testOperand) {
+        const TestModel testModel = createSingleAddModel(testOperand);
+        const Model model = createModel(testModel);
+        std::shared_ptr<IPreparedModel> preparedModel;
+        createPreparedModel(kDevice, model, &preparedModel, /*reportSkipping=*/false);
+        return preparedModel;
+    }
+
+    static const std::map<TestOperandType, TestOperand> kTestOperandMap;
+
+    const std::shared_ptr<IDevice> kDevice;
+    const TestOperandType kTestOperandType;
+    const TestOperand& kTestOperand;
+    const uint32_t kTestOperandDataSize;
+};
+
+const std::map<TestOperandType, TestOperand> MemoryDomainTestBase::kTestOperandMap = {
+        {TestOperandType::TENSOR_FLOAT32,
+         {
+                 .type = TestOperandType::TENSOR_FLOAT32,
+                 .dimensions = {1, 32, 32, 8},
+                 .numberOfConsumers = 1,
+                 .scale = 0.0f,
+                 .zeroPoint = 0,
+                 .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+         }},
+        {TestOperandType::TENSOR_FLOAT16,
+         {
+                 .type = TestOperandType::TENSOR_FLOAT16,
+                 .dimensions = {1, 32, 32, 8},
+                 .numberOfConsumers = 1,
+                 .scale = 0.0f,
+                 .zeroPoint = 0,
+                 .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+         }},
+        {TestOperandType::TENSOR_QUANT8_ASYMM,
+         {
+                 .type = TestOperandType::TENSOR_QUANT8_ASYMM,
+                 .dimensions = {1, 32, 32, 8},
+                 .numberOfConsumers = 1,
+                 .scale = 0.5f,
+                 .zeroPoint = 0,
+                 .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+         }},
+        {TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
+         {
+                 .type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
+                 .dimensions = {1, 32, 32, 8},
+                 .numberOfConsumers = 1,
+                 .scale = 0.5f,
+                 .zeroPoint = 0,
+                 .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
+         }},
+};
+
+using MemoryDomainAllocateTestParam = std::tuple<NamedDevice, TestOperandType>;
+class MemoryDomainAllocateTest : public MemoryDomainTestBase,
+                                 public testing::WithParamInterface<MemoryDomainAllocateTestParam> {
+  protected:
+    MemoryDomainAllocateTest()
+        : MemoryDomainTestBase(getData(std::get<NamedDevice>(GetParam())),
+                               std::get<TestOperandType>(GetParam())) {}
+
+    struct AllocateTestArgs {
+        std::vector<int32_t> dimensions;
+        std::vector<std::shared_ptr<IPreparedModel>> preparedModels;
+        std::vector<BufferRole> inputRoles;
+        std::vector<BufferRole> outputRoles;
+    };
+
+    // Validation test for IDevice::allocate. The driver is expected to fail with INVALID_ARGUMENT,
+    // or GENERAL_FAILURE if memory domain is not supported.
+    void validateAllocate(AllocateTestArgs args) {
+        std::vector<IPreparedModelParcel> preparedModelParcels;
+        preparedModelParcels.reserve(args.preparedModels.size());
+        for (const auto& model : args.preparedModels) {
+            preparedModelParcels.push_back({.preparedModel = model});
+        }
+        DeviceBuffer buffer;
+        const auto ret =
+                kDevice->allocate({.dimensions = std::move(args.dimensions)}, preparedModelParcels,
+                                  args.inputRoles, args.outputRoles, &buffer);
+
+        ASSERT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
+        ASSERT_TRUE(static_cast<ErrorStatus>(ret.getServiceSpecificError()) ==
+                            ErrorStatus::INVALID_ARGUMENT ||
+                    static_cast<ErrorStatus>(ret.getServiceSpecificError()) ==
+                            ErrorStatus::GENERAL_FAILURE);
+    }
+
+    void testConflictOperands(const std::shared_ptr<IPreparedModel>& model1,
+                              const std::shared_ptr<IPreparedModel>& model2) {
+        validateAllocate({
+                .preparedModels = {model1, model2},
+                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
+                               {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+        });
+        validateAllocate({
+                .preparedModels = {model1, model2},
+                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+                .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+        });
+        validateAllocate({
+                .preparedModels = {model1, model2},
+                .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
+                                {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+        });
+    }
+};
+
+TEST_P(MemoryDomainAllocateTest, EmptyRole) {
+    // Test with empty prepared models and roles.
+    validateAllocate({});
+
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    // Test again with non-empty prepared models but empty roles.
+    validateAllocate({
+            .preparedModels = {preparedModel},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, NullptrPreparedModel) {
+    // Test with nullptr prepared model as input role.
+    validateAllocate({
+            .preparedModels = {nullptr},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+
+    // Test with nullptr prepared model as output role.
+    validateAllocate({
+            .preparedModels = {nullptr},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, InvalidPreparedModel) {
+    std::shared_ptr<InvalidPreparedModel> invalidPreparedModel =
+            ndk::SharedRefBase::make<InvalidPreparedModel>();
+
+    // Test with invalid prepared model as input role.
+    validateAllocate({
+            .preparedModels = {invalidPreparedModel},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+
+    // Test with invalid prepared model as output role.
+    validateAllocate({
+            .preparedModels = {invalidPreparedModel},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, InvalidModelIndex) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    // This should fail, because the model index is out of bound.
+    validateAllocate({
+            .preparedModels = {preparedModel},
+            .inputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+    });
+
+    // This should fail, because the model index is out of bound.
+    validateAllocate({
+            .preparedModels = {preparedModel},
+            .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, InvalidIOIndex) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    // This should fail, because the model only has one input.
+    validateAllocate({
+            .preparedModels = {preparedModel},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+    });
+
+    // This should fail, because the model only has one output.
+    validateAllocate({
+            .preparedModels = {preparedModel},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, InvalidFrequency) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    for (float invalidFreq : {10.0f, 0.0f, -0.5f}) {
+        // Test with invalid frequency for input roles.
+        validateAllocate({
+                .preparedModels = {preparedModel},
+                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+        });
+        // Test with invalid frequency for output roles.
+        validateAllocate({
+                .preparedModels = {preparedModel},
+                .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+        });
+    }
+}
+
+TEST_P(MemoryDomainAllocateTest, SameRoleSpecifiedTwice) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    // Same role with same model index.
+    validateAllocate({
+            .preparedModels = {preparedModel},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
+                           {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+    validateAllocate({
+            .preparedModels = {preparedModel},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
+                            {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+
+    // Different model indexes, but logically referring to the same role.
+    validateAllocate({
+            .preparedModels = {preparedModel, preparedModel},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
+                           {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+    });
+    validateAllocate({
+            .preparedModels = {preparedModel, preparedModel},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
+                            {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictOperandType) {
+    const std::map<TestOperandType, TestOperandType> conflictTypeMap = {
+            {TestOperandType::TENSOR_FLOAT32, TestOperandType::TENSOR_FLOAT16},
+            {TestOperandType::TENSOR_FLOAT16, TestOperandType::TENSOR_FLOAT32},
+            {TestOperandType::TENSOR_QUANT8_ASYMM, TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+            {TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED, TestOperandType::TENSOR_QUANT8_ASYMM},
+    };
+
+    TestOperand conflictTestOperand = kTestOperand;
+    const auto it = conflictTypeMap.find(kTestOperandType);
+    ASSERT_FALSE(it == conflictTypeMap.end());
+    conflictTestOperand.type = it->second;
+
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto conflictPreparedModel = createConvPreparedModel(conflictTestOperand);
+    if (preparedModel == nullptr || conflictPreparedModel == nullptr) return;
+    testConflictOperands(preparedModel, conflictPreparedModel);
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictScale) {
+    if (isFloat(kTestOperandType)) return;
+
+    TestOperand conflictTestOperand = kTestOperand;
+    ASSERT_NE(conflictTestOperand.scale, 1.0f);
+    conflictTestOperand.scale = 1.0f;
+
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto conflictPreparedModel = createConvPreparedModel(conflictTestOperand);
+    if (preparedModel == nullptr || conflictPreparedModel == nullptr) return;
+    testConflictOperands(preparedModel, conflictPreparedModel);
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictZeroPoint) {
+    if (isFloat(kTestOperandType)) return;
+
+    TestOperand conflictTestOperand = kTestOperand;
+    ASSERT_NE(conflictTestOperand.zeroPoint, 10);
+    conflictTestOperand.zeroPoint = 10;
+
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto conflictPreparedModel = createConvPreparedModel(conflictTestOperand);
+    if (preparedModel == nullptr || conflictPreparedModel == nullptr) return;
+    testConflictOperands(preparedModel, conflictPreparedModel);
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictRankBetweenRoles) {
+    TestOperand conflictTestOperand = kTestOperand;
+    conflictTestOperand.dimensions.pop_back();
+
+    auto preparedModel = createAddPreparedModel(kTestOperand);
+    auto conflictPreparedModel = createAddPreparedModel(conflictTestOperand);
+    if (preparedModel == nullptr || conflictPreparedModel == nullptr) return;
+    testConflictOperands(preparedModel, conflictPreparedModel);
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictDimensionsBetweenRoles) {
+    TestOperand conflictTestOperand = kTestOperand;
+    conflictTestOperand.dimensions[0] = 4;
+
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto conflictPreparedModel = createConvPreparedModel(conflictTestOperand);
+    if (preparedModel == nullptr || conflictPreparedModel == nullptr) return;
+    testConflictOperands(preparedModel, conflictPreparedModel);
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictRankBetweenRoleAndDesc) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    auto badDimensions = utils::toSigned(kTestOperand.dimensions).value();
+    badDimensions.pop_back();
+
+    validateAllocate({
+            .dimensions = badDimensions,
+            .preparedModels = {preparedModel},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+    validateAllocate({
+            .dimensions = badDimensions,
+            .preparedModels = {preparedModel},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictDimensionsBetweenRoleAndDesc) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    auto badDimensions = utils::toSigned(kTestOperand.dimensions).value();
+    badDimensions[0] = 4;
+
+    validateAllocate({
+            .dimensions = badDimensions,
+            .preparedModels = {preparedModel},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+    validateAllocate({
+            .dimensions = badDimensions,
+            .preparedModels = {preparedModel},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+    });
+}
+
+TEST_P(MemoryDomainAllocateTest, ConflictRankWithScalarRole) {
+    auto preparedModel = createAddPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    // This should fail, because the target operand is a scalar but a non-empty dimension is
+    // specified.
+    validateAllocate({
+            .dimensions = {1},
+            .preparedModels = {preparedModel},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 2, .frequency = 1.0f}},
+    });
+}
+
+std::string printMemoryDomainAllocateTest(
+        const testing::TestParamInfo<MemoryDomainAllocateTestParam>& info) {
+    const auto& [namedDevice, operandType] = info.param;
+    const std::string type = toString(static_cast<OperandType>(operandType));
+    return gtestCompliantName(getName(namedDevice) + "_" + type);
+}
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(MemoryDomainAllocateTest);
+INSTANTIATE_TEST_SUITE_P(TestMemoryDomain, MemoryDomainAllocateTest,
+                         testing::Combine(testing::ValuesIn(getNamedDevices()),
+                                          kTestOperandTypeChoices),
+                         printMemoryDomainAllocateTest);
+
+class MemoryDomainCopyTestBase : public MemoryDomainTestBase {
+  protected:
+    MemoryDomainCopyTestBase(std::shared_ptr<IDevice> device, TestOperandType type)
+        : MemoryDomainTestBase(std::move(device), type) {}
+
+    // Allocates device memory for roles of a single prepared model.
+    // Returns {IBuffer, token} if success; returns {nullptr, 0} if not supported.
+    DeviceBuffer allocateBuffer(const std::shared_ptr<IPreparedModel>& preparedModel,
+                                const std::vector<int32_t>& inputIndexes,
+                                const std::vector<int32_t>& outputIndexes,
+                                const std::vector<int32_t>& dimensions) {
+        if (preparedModel == nullptr) {
+            return {.buffer = nullptr, .token = 0};
+        }
+
+        std::vector<BufferRole> inputRoles(inputIndexes.size()), outputRoles(outputIndexes.size());
+        auto trans = [](int32_t ind) -> BufferRole {
+            return {.modelIndex = 0, .ioIndex = ind, .frequency = 1.0f};
+        };
+        std::transform(inputIndexes.begin(), inputIndexes.end(), inputRoles.begin(), trans);
+        std::transform(outputIndexes.begin(), outputIndexes.end(), outputRoles.begin(), trans);
+
+        IPreparedModelParcel parcel;
+        parcel.preparedModel = preparedModel;
+
+        DeviceBuffer buffer;
+
+        const auto ret = kDevice->allocate({.dimensions = dimensions}, {parcel}, inputRoles,
+                                           outputRoles, &buffer);
+
+        if (!ret.isOk()) {
+            EXPECT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
+            EXPECT_EQ(static_cast<ErrorStatus>(ret.getServiceSpecificError()),
+                      ErrorStatus::GENERAL_FAILURE);
+            return DeviceBuffer{
+                    .buffer = nullptr,
+                    .token = 0,
+            };
+        }
+
+        EXPECT_NE(buffer.buffer, nullptr);
+        EXPECT_GT(buffer.token, 0);
+
+        return buffer;
+    }
+
+    DeviceBuffer allocateBuffer(const std::shared_ptr<IPreparedModel>& preparedModel,
+                                const std::vector<int32_t>& inputIndexes,
+                                const std::vector<int32_t>& outputIndexes) {
+        return allocateBuffer(preparedModel, inputIndexes, outputIndexes, {});
+    }
+
+    Memory allocateSharedMemory(uint32_t size) {
+        const auto sharedMemory = nn::createSharedMemory(size).value();
+        auto memory = utils::convert(sharedMemory).value();
+        EXPECT_EQ(memory.size, size);
+        return memory;
+    }
+
+    void testCopyFrom(const std::shared_ptr<IBuffer>& buffer, const Memory& memory,
+                      const std::vector<int32_t>& dimensions, ErrorStatus expectedStatus) {
+        const auto ret = buffer->copyFrom(memory, dimensions);
+        if (expectedStatus == ErrorStatus::NONE) {
+            ASSERT_TRUE(ret.isOk());
+        } else {
+            ASSERT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
+            ASSERT_EQ(expectedStatus, static_cast<ErrorStatus>(ret.getServiceSpecificError()));
+        }
+    }
+
+    void testCopyTo(const std::shared_ptr<IBuffer>& buffer, const Memory& memory,
+                    ErrorStatus expectedStatus) {
+        const auto ret = buffer->copyTo(memory);
+        if (expectedStatus == ErrorStatus::NONE) {
+            ASSERT_TRUE(ret.isOk());
+        } else {
+            ASSERT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
+            ASSERT_EQ(expectedStatus, static_cast<ErrorStatus>(ret.getServiceSpecificError()));
+        }
+    }
+
+    void initializeDeviceMemory(const std::shared_ptr<IBuffer>& buffer) {
+        Memory memory = allocateSharedMemory(kTestOperandDataSize);
+        ASSERT_EQ(memory.size, kTestOperandDataSize);
+        testCopyFrom(buffer, memory, utils::toSigned(kTestOperand.dimensions).value(),
+                     ErrorStatus::NONE);
+    }
+};
+
+using MemoryDomainCopyTestParam = std::tuple<NamedDevice, TestOperandType>;
+class MemoryDomainCopyTest : public MemoryDomainCopyTestBase,
+                             public testing::WithParamInterface<MemoryDomainCopyTestParam> {
+  protected:
+    MemoryDomainCopyTest()
+        : MemoryDomainCopyTestBase(getData(std::get<NamedDevice>(GetParam())),
+                                   std::get<TestOperandType>(GetParam())) {}
+};
+
+TEST_P(MemoryDomainCopyTest, CopyFrom_InvalidMemorySize) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    uint32_t badMemorySize1 = kTestOperandDataSize / 2, badMemorySize2 = kTestOperandDataSize * 2;
+    Memory badMemory1 = allocateSharedMemory(badMemorySize1);
+    Memory badMemory2 = allocateSharedMemory(badMemorySize2);
+    testCopyFrom(buffer, badMemory1, {}, ErrorStatus::INVALID_ARGUMENT);
+    testCopyFrom(buffer, badMemory2, {}, ErrorStatus::INVALID_ARGUMENT);
+}
+
+TEST_P(MemoryDomainCopyTest, CopyFrom_InvalidMemorySize_DynamicShape) {
+    TestOperand testOperand = kTestOperand;
+    testOperand.dimensions[0] = 0;
+    auto preparedModel = createConvPreparedModel(testOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    uint32_t badMemorySize1 = kTestOperandDataSize / 2, badMemorySize2 = kTestOperandDataSize * 2;
+    Memory badMemory1 = allocateSharedMemory(badMemorySize1);
+    Memory badMemory2 = allocateSharedMemory(badMemorySize2);
+    Memory goodMemory = allocateSharedMemory(kTestOperandDataSize);
+
+    const auto goodDimensions = utils::toSigned(kTestOperand.dimensions).value();
+    auto badDimensions = goodDimensions;
+    badDimensions[0] = 2;
+
+    testCopyFrom(buffer, badMemory1, goodDimensions, ErrorStatus::INVALID_ARGUMENT);
+    testCopyFrom(buffer, badMemory2, goodDimensions, ErrorStatus::INVALID_ARGUMENT);
+    testCopyFrom(buffer, goodMemory, goodDimensions, ErrorStatus::NONE);
+    testCopyFrom(buffer, goodMemory, badDimensions, ErrorStatus::INVALID_ARGUMENT);
+}
+
+TEST_P(MemoryDomainCopyTest, CopyFrom_InvalidDimensions) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    Memory memory = allocateSharedMemory(kTestOperandDataSize);
+
+    const auto goodDimensions = utils::toSigned(kTestOperand.dimensions).value();
+    std::vector<int32_t> badDimensions = goodDimensions;
+    badDimensions.pop_back();
+    testCopyFrom(buffer, memory, badDimensions, ErrorStatus::INVALID_ARGUMENT);
+
+    badDimensions = goodDimensions;
+    badDimensions[0] = 2;
+    testCopyFrom(buffer, memory, badDimensions, ErrorStatus::INVALID_ARGUMENT);
+
+    badDimensions = goodDimensions;
+    badDimensions[0] = 0;
+    testCopyFrom(buffer, memory, badDimensions, ErrorStatus::INVALID_ARGUMENT);
+
+    testCopyFrom(buffer, memory, {}, ErrorStatus::NONE);
+    testCopyFrom(buffer, memory, goodDimensions, ErrorStatus::NONE);
+}
+
+TEST_P(MemoryDomainCopyTest, CopyFrom_InvalidDimensions_DynamicShape) {
+    TestOperand testOperand = kTestOperand;
+    testOperand.dimensions[0] = 0;
+    auto preparedModel = createConvPreparedModel(testOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    Memory memory = allocateSharedMemory(kTestOperandDataSize);
+
+    const auto goodDimensions = utils::toSigned(kTestOperand.dimensions).value();
+    std::vector<int32_t> badDimensions = goodDimensions;
+    badDimensions.pop_back();
+    testCopyFrom(buffer, memory, badDimensions, ErrorStatus::INVALID_ARGUMENT);
+
+    badDimensions = goodDimensions;
+    badDimensions[0] = 2;
+    badDimensions[3] = 4;
+    testCopyFrom(buffer, memory, badDimensions, ErrorStatus::INVALID_ARGUMENT);
+
+    badDimensions = goodDimensions;
+    badDimensions[0] = 1;
+    badDimensions[3] = 0;
+    testCopyFrom(buffer, memory, badDimensions, ErrorStatus::INVALID_ARGUMENT);
+
+    testCopyFrom(buffer, memory, {}, ErrorStatus::INVALID_ARGUMENT);
+    testCopyFrom(buffer, memory, goodDimensions, ErrorStatus::NONE);
+}
+
+TEST_P(MemoryDomainCopyTest, CopyTo_UninitializedMemory) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    Memory memory = allocateSharedMemory(kTestOperandDataSize);
+    testCopyTo(buffer, memory, ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST_P(MemoryDomainCopyTest, CopyTo_InvalidMemorySize) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    uint32_t badMemorySize1 = kTestOperandDataSize / 2, badMemorySize2 = kTestOperandDataSize * 2;
+    Memory badMemory1 = allocateSharedMemory(badMemorySize1);
+    Memory badMemory2 = allocateSharedMemory(badMemorySize2);
+    Memory goodMemory = allocateSharedMemory(kTestOperandDataSize);
+
+    initializeDeviceMemory(buffer);
+    testCopyTo(buffer, badMemory1, ErrorStatus::INVALID_ARGUMENT);
+    testCopyTo(buffer, badMemory2, ErrorStatus::INVALID_ARGUMENT);
+    testCopyTo(buffer, goodMemory, ErrorStatus::NONE);
+}
+
+TEST_P(MemoryDomainCopyTest, CopyTo_InvalidMemorySize_DynamicShape) {
+    TestOperand testOperand = kTestOperand;
+    testOperand.dimensions[0] = 0;
+    auto preparedModel = createConvPreparedModel(testOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    uint32_t badMemorySize1 = kTestOperandDataSize / 2, badMemorySize2 = kTestOperandDataSize * 2;
+    Memory badMemory1 = allocateSharedMemory(badMemorySize1);
+    Memory badMemory2 = allocateSharedMemory(badMemorySize2);
+    Memory goodMemory = allocateSharedMemory(kTestOperandDataSize);
+
+    initializeDeviceMemory(buffer);
+    testCopyTo(buffer, badMemory1, ErrorStatus::INVALID_ARGUMENT);
+    testCopyTo(buffer, badMemory2, ErrorStatus::INVALID_ARGUMENT);
+    testCopyTo(buffer, goodMemory, ErrorStatus::NONE);
+}
+
+std::string printMemoryDomainCopyTest(
+        const testing::TestParamInfo<MemoryDomainCopyTestParam>& info) {
+    const auto& [namedDevice, operandType] = info.param;
+    const std::string type = toString(static_cast<OperandType>(operandType));
+    return gtestCompliantName(getName(namedDevice) + "_" + type);
+}
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(MemoryDomainCopyTest);
+INSTANTIATE_TEST_SUITE_P(TestMemoryDomain, MemoryDomainCopyTest,
+                         testing::Combine(testing::ValuesIn(getNamedDevices()),
+                                          kTestOperandTypeChoices),
+                         printMemoryDomainCopyTest);
+
+using MemoryDomainExecutionTestParam = std::tuple<NamedDevice, TestOperandType, Executor>;
+class MemoryDomainExecutionTest
+    : public MemoryDomainCopyTestBase,
+      public testing::WithParamInterface<MemoryDomainExecutionTestParam> {
+  protected:
+    MemoryDomainExecutionTest()
+        : MemoryDomainCopyTestBase(getData(std::get<NamedDevice>(GetParam())),
+                                   std::get<TestOperandType>(GetParam())) {}
+
+    RequestMemoryPool createSharedMemoryPool(uint32_t size) {
+        return RequestMemoryPool(allocateSharedMemory(size));
+    }
+
+    RequestMemoryPool createDeviceMemoryPool(uint32_t token) {
+        return RequestMemoryPool(static_cast<int32_t>(token));
+    }
+
+    void testExecution(const std::shared_ptr<IPreparedModel>& preparedModel, const Request& request,
+                       ErrorStatus expectedStatus) {
+        switch (kExecutor) {
+            case Executor::SYNC:
+                EXPECT_EQ(executeSync(preparedModel, request), expectedStatus);
+                break;
+            case Executor::FENCED:
+                EXPECT_EQ(executeFenced(preparedModel, request), expectedStatus);
+                break;
+            default:
+                ASSERT_TRUE(false);
+        }
+    }
+
+    ErrorStatus executeSync(const std::shared_ptr<IPreparedModel>& preparedModel,
+                            const Request& request) {
+        ExecutionResult executionResult;
+        const auto ret = preparedModel->executeSynchronously(
+                request, false, kNoDeadline, kOmittedTimeoutDuration, &executionResult);
+
+        if (!ret.isOk()) {
+            EXPECT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
+            return static_cast<ErrorStatus>(ret.getServiceSpecificError());
+        }
+        const ErrorStatus executionStatus = executionResult.outputSufficientSize
+                                                    ? ErrorStatus::NONE
+                                                    : ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
+        EXPECT_EQ(executionResult.timing, kNoTiming);
+        return executionStatus;
+    }
+
+    ErrorStatus executeFenced(const std::shared_ptr<IPreparedModel>& preparedModel,
+                              const Request& request) {
+        ndk::ScopedFileDescriptor syncFence;
+        std::shared_ptr<IFencedExecutionCallback> fencedCallback;
+        const auto ret = preparedModel->executeFenced(request, {}, false, kNoDeadline,
+                                                      kOmittedTimeoutDuration, kNoDuration,
+                                                      &syncFence, &fencedCallback);
+        if (!ret.isOk()) {
+            EXPECT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
+            return static_cast<ErrorStatus>(ret.getServiceSpecificError());
+        }
+        if (syncFence.get() != -1) {
+            waitForSyncFence(syncFence.get());
+        }
+        EXPECT_NE(fencedCallback, nullptr);
+
+        ErrorStatus executionStatus = ErrorStatus::GENERAL_FAILURE;
+        Timing time = kNoTiming;
+        Timing timeFenced = kNoTiming;
+        const auto retExecutionInfo =
+                fencedCallback->getExecutionInfo(&time, &timeFenced, &executionStatus);
+        EXPECT_TRUE(retExecutionInfo.isOk());
+        EXPECT_EQ(time, kNoTiming);
+        return executionStatus;
+    }
+
+    const Executor kExecutor = std::get<Executor>(GetParam());
+};
+
+TEST_P(MemoryDomainExecutionTest, InvalidToken) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    if (preparedModel == nullptr) return;
+
+    RequestMemoryPool sharedMemory = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool badDeviceMemory1 = createDeviceMemoryPool(0);    // Invalid token.
+    RequestMemoryPool badDeviceMemory2 = createDeviceMemoryPool(100);  // Unknown token.
+    RequestArgument sharedMemoryArg = {
+            .location = {.poolIndex = 0, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument deviceMemoryArg = {.location = {.poolIndex = 1}};
+
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArg},
+                   .outputs = {sharedMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, badDeviceMemory1)},
+                  ErrorStatus::INVALID_ARGUMENT);
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArg},
+                   .outputs = {sharedMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, badDeviceMemory2)},
+                  ErrorStatus::INVALID_ARGUMENT);
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg},
+                   .outputs = {deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, badDeviceMemory1)},
+                  ErrorStatus::INVALID_ARGUMENT);
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg},
+                   .outputs = {deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, badDeviceMemory2)},
+                  ErrorStatus::INVALID_ARGUMENT);
+}
+
+TEST_P(MemoryDomainExecutionTest, InvalidPreparedModel) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+    auto badPreparedModel = createConvPreparedModel(kTestOperand);
+    if (badPreparedModel == nullptr) return;
+
+    RequestMemoryPool sharedMemory = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool deviceMemory = createDeviceMemoryPool(token);
+    RequestArgument sharedMemoryArg = {
+            .location = {.poolIndex = 0, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument deviceMemoryArg = {.location = {.poolIndex = 1}};
+
+    // This should fail, because the buffer is not allocated for badPreparedModel.
+    initializeDeviceMemory(buffer);
+    testExecution(badPreparedModel,
+                  {.inputs = {deviceMemoryArg},
+                   .outputs = {sharedMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+    testExecution(badPreparedModel,
+                  {.inputs = {sharedMemoryArg},
+                   .outputs = {deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+}
+
+TEST_P(MemoryDomainExecutionTest, InvalidIOIndex) {
+    auto preparedModel = createConvPreparedModel(kTestOperand, 2);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {});
+    if (buffer == nullptr) return;
+
+    RequestMemoryPool sharedMemory1 = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool sharedMemory2 = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool sharedMemory3 = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool deviceMemory = createDeviceMemoryPool(token);
+    RequestArgument sharedMemoryArg1 = {
+            .location = {.poolIndex = 0, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument sharedMemoryArg2 = {
+            .location = {.poolIndex = 1, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument sharedMemoryArg3 = {
+            .location = {.poolIndex = 2, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument deviceMemoryArg = {.location = {.poolIndex = 3}};
+
+    // This should fail, because the device memory is not allocated for input 1.
+    initializeDeviceMemory(buffer);
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg1, deviceMemoryArg},
+                   .outputs = {sharedMemoryArg2, sharedMemoryArg3},
+                   .pools = createRequestMemoryPools(sharedMemory1, sharedMemory2, sharedMemory3,
+                                                     deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+
+    // This should fail, because the device memory is not allocated for output 1.
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg1, sharedMemoryArg2},
+                   .outputs = {sharedMemoryArg3, deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory1, sharedMemory2, sharedMemory3,
+                                                     deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+}
+
+TEST_P(MemoryDomainExecutionTest, InvalidIOType) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto [inputBuffer, inputToken] = allocateBuffer(preparedModel, {0}, {});
+    auto [outputBuffer, outputToken] = allocateBuffer(preparedModel, {}, {0});
+    if (inputBuffer == nullptr || outputBuffer == nullptr) return;
+
+    RequestMemoryPool sharedMemory = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool deviceMemory = createDeviceMemoryPool(inputToken);
+    RequestArgument sharedMemoryArg = {
+            .location = {.poolIndex = 0, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument deviceMemoryArg = {.location = {.poolIndex = 1}};
+
+    // This should fail, because the device memory is allocated for input but used as output.
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg},
+                   .outputs = {deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+
+    // This should fail, because the device memory is allocated for output but used as input.
+    deviceMemory.set<RequestMemoryPool::Tag::token>(outputToken);
+    initializeDeviceMemory(outputBuffer);
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArg},
+                   .outputs = {sharedMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+}
+
+TEST_P(MemoryDomainExecutionTest, UninitializedMemory) {
+    auto preparedModel = createConvPreparedModel(kTestOperand);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0}, {0});
+    if (buffer == nullptr) return;
+
+    RequestMemoryPool sharedMemory = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool deviceMemory = createDeviceMemoryPool(token);
+    RequestArgument sharedMemoryArg = {
+            .location = {.poolIndex = 0, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument deviceMemoryArg = {.location = {.poolIndex = 1}};
+
+    // This should fail, because the device memory is not initialized.
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArg},
+                   .outputs = {sharedMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::GENERAL_FAILURE);
+
+    // This should initialize the device memory.
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg},
+                   .outputs = {deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::NONE);
+
+    // Test again with initialized device memory.
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArg},
+                   .outputs = {sharedMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::NONE);
+}
+
+TEST_P(MemoryDomainExecutionTest, SameRequestMultipleRoles) {
+    auto preparedModel = createConvPreparedModel(kTestOperand, 2);
+    auto [buffer, token] = allocateBuffer(preparedModel, {0, 1}, {0, 1});
+    if (buffer == nullptr) return;
+
+    RequestMemoryPool sharedMemory1 = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool sharedMemory2 = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool deviceMemory = createDeviceMemoryPool(token);
+    RequestArgument sharedMemoryArg1 = {
+            .location = {.poolIndex = 0, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument sharedMemoryArg2 = {
+            .location = {.poolIndex = 1, .offset = 0, .length = kTestOperandDataSize}};
+    RequestArgument deviceMemoryArg = {.location = {.poolIndex = 2}};
+
+    // This should fail, because the same device memory cannot be used for both input and output.
+    initializeDeviceMemory(buffer);
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArg, sharedMemoryArg1},
+                   .outputs = {deviceMemoryArg, sharedMemoryArg2},
+                   .pools = createRequestMemoryPools(sharedMemory1, sharedMemory2, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+
+    // This should fail, because the same device memory cannot be used for multiple outputs.
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg1, sharedMemoryArg2},
+                   .outputs = {deviceMemoryArg, deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory1, sharedMemory2, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+
+    // The same device memory can be used for multiple inputs.
+    initializeDeviceMemory(buffer);
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArg, deviceMemoryArg},
+                   .outputs = {sharedMemoryArg1, sharedMemoryArg2},
+                   .pools = createRequestMemoryPools(sharedMemory1, sharedMemory2, deviceMemory)},
+                  ErrorStatus::NONE);
+}
+
+TEST_P(MemoryDomainExecutionTest, InvalidDimensions) {
+    // FENCED execution does not support dynamic shape.
+    if (kExecutor == Executor::FENCED) return;
+
+    TestOperand testOperand = kTestOperand;
+    testOperand.dimensions[0] = 0;
+    auto preparedModel = createConvPreparedModel(testOperand);
+    auto deviceBuffer = allocateBuffer(preparedModel, {0}, {0},
+                                       utils::toSigned(kTestOperand.dimensions).value());
+    if (deviceBuffer.buffer == nullptr) return;
+
+    RequestMemoryPool sharedMemory = createSharedMemoryPool(kTestOperandDataSize);
+    RequestMemoryPool deviceMemory = createDeviceMemoryPool(deviceBuffer.token);
+    auto badDimensions = utils::toSigned(kTestOperand.dimensions).value();
+    badDimensions[0] = 2;
+    RequestArgument sharedMemoryArg = {
+            .location = {.poolIndex = 0, .offset = 0, .length = kTestOperandDataSize},
+            .dimensions = badDimensions};
+    RequestArgument deviceMemoryArg = {.location = {.poolIndex = 1}};
+    RequestArgument deviceMemoryArgWithBadDimensions = {.location = {.poolIndex = 1},
+                                                        .dimensions = badDimensions};
+
+    initializeDeviceMemory(deviceBuffer.buffer);
+    testExecution(preparedModel,
+                  {.inputs = {deviceMemoryArgWithBadDimensions},
+                   .outputs = {sharedMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg},
+                   .outputs = {deviceMemoryArgWithBadDimensions},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::INVALID_ARGUMENT);
+
+    testExecution(preparedModel,
+                  {.inputs = {sharedMemoryArg},
+                   .outputs = {deviceMemoryArg},
+                   .pools = createRequestMemoryPools(sharedMemory, deviceMemory)},
+                  ErrorStatus::GENERAL_FAILURE);
+}
+
+const auto kExecutorChoices = testing::Values(Executor::SYNC, Executor::FENCED);
+
+std::string printMemoryDomainExecutionTest(
+        const testing::TestParamInfo<MemoryDomainExecutionTestParam>& info) {
+    const auto& [namedDevice, operandType, executor] = info.param;
+    const std::string type = toString(static_cast<OperandType>(operandType));
+    const std::string executorStr = toString(executor);
+    return gtestCompliantName(getName(namedDevice) + "_" + type + "_" + executorStr);
+}
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(MemoryDomainExecutionTest);
+INSTANTIATE_TEST_SUITE_P(TestMemoryDomain, MemoryDomainExecutionTest,
+                         testing::Combine(testing::ValuesIn(getNamedDevices()),
+                                          kTestOperandTypeChoices, kExecutorChoices),
+                         printMemoryDomainExecutionTest);
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp b/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
new file mode 100644
index 0000000..58db98f
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
@@ -0,0 +1,270 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <android/binder_enums.h>
+#include <android/binder_interface_utils.h>
+#include <android/binder_status.h>
+
+#include <nnapi/hal/aidl/Conversions.h>
+
+#include "Callbacks.h"
+#include "GeneratedTestHarness.h"
+#include "Utils.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using implementation::PreparedModelCallback;
+using test_helper::TestBuffer;
+using test_helper::TestModel;
+
+enum class DeadlineBoundType { NOW, UNLIMITED, SHORT };
+constexpr std::array<DeadlineBoundType, 3> deadlineBounds = {
+        DeadlineBoundType::NOW, DeadlineBoundType::UNLIMITED, DeadlineBoundType::SHORT};
+std::string toString(DeadlineBoundType type) {
+    switch (type) {
+        case DeadlineBoundType::NOW:
+            return "NOW";
+        case DeadlineBoundType::UNLIMITED:
+            return "UNLIMITED";
+        case DeadlineBoundType::SHORT:
+            return "SHORT";
+    }
+    LOG(FATAL) << "Unrecognized DeadlineBoundType: " << static_cast<int>(type);
+    return {};
+}
+
+constexpr auto kShortDuration = std::chrono::milliseconds{5};
+
+using Results = std::tuple<ErrorStatus, std::vector<OutputShape>, Timing>;
+using MaybeResults = std::optional<Results>;
+
+static int64_t makeDeadline(DeadlineBoundType deadlineBoundType) {
+    const auto getNanosecondsSinceEpoch = [](const auto& time) -> int64_t {
+        const auto timeSinceEpoch = time.time_since_epoch();
+        return std::chrono::duration_cast<std::chrono::nanoseconds>(timeSinceEpoch).count();
+    };
+
+    std::chrono::steady_clock::time_point timePoint;
+    switch (deadlineBoundType) {
+        case DeadlineBoundType::NOW:
+            timePoint = std::chrono::steady_clock::now();
+            break;
+        case DeadlineBoundType::UNLIMITED:
+            timePoint = std::chrono::steady_clock::time_point::max();
+            break;
+        case DeadlineBoundType::SHORT:
+            timePoint = std::chrono::steady_clock::now() + kShortDuration;
+            break;
+    }
+
+    return getNanosecondsSinceEpoch(timePoint);
+}
+
+void runPrepareModelTest(const std::shared_ptr<IDevice>& device, const Model& model,
+                         Priority priority, std::optional<DeadlineBoundType> deadlineBound) {
+    int64_t deadline = kNoDeadline;
+    if (deadlineBound.has_value()) {
+        deadline = makeDeadline(deadlineBound.value());
+    }
+
+    // see if service can handle model
+    std::vector<bool> supportedOps;
+    const auto supportedCallStatus = device->getSupportedOperations(model, &supportedOps);
+    ASSERT_TRUE(supportedCallStatus.isOk());
+    ASSERT_NE(0ul, supportedOps.size());
+    const bool fullySupportsModel =
+            std::all_of(supportedOps.begin(), supportedOps.end(), [](bool valid) { return valid; });
+
+    // launch prepare model
+    const std::shared_ptr<PreparedModelCallback> preparedModelCallback =
+            ndk::SharedRefBase::make<PreparedModelCallback>();
+    const auto prepareLaunchStatus =
+            device->prepareModel(model, ExecutionPreference::FAST_SINGLE_ANSWER, priority, deadline,
+                                 {}, {}, kEmptyCacheToken, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk())
+            << "prepareLaunchStatus: " << prepareLaunchStatus.getDescription();
+
+    // retrieve prepared model
+    preparedModelCallback->wait();
+    const ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    const std::shared_ptr<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+
+    // The getSupportedOperations call returns a list of operations that are guaranteed not to fail
+    // if prepareModel is called, and 'fullySupportsModel' is true i.f.f. the entire model is
+    // guaranteed. If a driver has any doubt that it can prepare an operation, it must return false.
+    // So here, if a driver isn't sure if it can support an operation, but reports that it
+    // successfully prepared the model, the test can continue.
+    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
+        ASSERT_EQ(nullptr, preparedModel.get());
+        return;
+    }
+
+    // verify return status
+    if (!deadlineBound.has_value()) {
+        EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+    } else {
+        switch (deadlineBound.value()) {
+            case DeadlineBoundType::NOW:
+            case DeadlineBoundType::SHORT:
+                // Either the driver successfully completed the task or it
+                // aborted and returned MISSED_DEADLINE_*.
+                EXPECT_TRUE(prepareReturnStatus == ErrorStatus::NONE ||
+                            prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
+                            prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
+                break;
+            case DeadlineBoundType::UNLIMITED:
+                // If an unlimited deadline is supplied, we expect the execution to
+                // proceed normally. In this case, check it normally by breaking out
+                // of the switch statement.
+                EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+                break;
+        }
+    }
+    ASSERT_EQ(prepareReturnStatus == ErrorStatus::NONE, preparedModel.get() != nullptr);
+}
+
+void runPrepareModelTests(const std::shared_ptr<IDevice>& device, const Model& model) {
+    // test priority
+    for (auto priority : ndk::enum_range<Priority>{}) {
+        SCOPED_TRACE("priority: " + toString(priority));
+        if (priority == kDefaultPriority) continue;
+        runPrepareModelTest(device, model, priority, {});
+    }
+
+    // test deadline
+    for (auto deadlineBound : deadlineBounds) {
+        SCOPED_TRACE("deadlineBound: " + toString(deadlineBound));
+        runPrepareModelTest(device, model, kDefaultPriority, deadlineBound);
+    }
+}
+
+static MaybeResults executeSynchronously(const std::shared_ptr<IPreparedModel>& preparedModel,
+                                         const Request& request, int64_t deadline) {
+    SCOPED_TRACE("synchronous");
+    const bool measure = false;
+
+    // run execution
+    ExecutionResult executionResult;
+    const auto ret = preparedModel->executeSynchronously(request, measure, deadline,
+                                                         kOmittedTimeoutDuration, &executionResult);
+    EXPECT_TRUE(ret.isOk() || ret.getExceptionCode() == EX_SERVICE_SPECIFIC)
+            << ret.getDescription();
+    if (!ret.isOk()) {
+        if (ret.getExceptionCode() != EX_SERVICE_SPECIFIC) {
+            return std::nullopt;
+        }
+        return MaybeResults(
+                {static_cast<ErrorStatus>(ret.getServiceSpecificError()), {}, kNoTiming});
+    }
+
+    // return results
+    return MaybeResults({executionResult.outputSufficientSize
+                                 ? ErrorStatus::NONE
+                                 : ErrorStatus::OUTPUT_INSUFFICIENT_SIZE,
+                         std::move(executionResult.outputShapes), executionResult.timing});
+}
+
+void runExecutionTest(const std::shared_ptr<IPreparedModel>& preparedModel,
+                      const TestModel& testModel, const Request& request,
+                      const ExecutionContext& context, DeadlineBoundType deadlineBound) {
+    const auto deadline = makeDeadline(deadlineBound);
+
+    // Perform execution and unpack results.
+    const auto results = executeSynchronously(preparedModel, request, deadline);
+    if (!results.has_value()) return;
+    const auto& [status, outputShapes, timing] = results.value();
+
+    // Verify no timing information was returned
+    EXPECT_EQ(timing, kNoTiming);
+
+    // Validate deadline information if applicable.
+    switch (deadlineBound) {
+        case DeadlineBoundType::NOW:
+        case DeadlineBoundType::SHORT:
+            // Either the driver successfully completed the task or it
+            // aborted and returned MISSED_DEADLINE_*.
+            ASSERT_TRUE(status == ErrorStatus::NONE ||
+                        status == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
+                        status == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
+            break;
+        case DeadlineBoundType::UNLIMITED:
+            // If an unlimited deadline is supplied, we expect the execution to
+            // proceed normally. In this case, check it normally by breaking out
+            // of the switch statement.
+            ASSERT_EQ(ErrorStatus::NONE, status);
+            break;
+    }
+
+    // If the model output operands are fully specified, outputShapes must be either
+    // either empty, or have the same number of elements as the number of outputs.
+    ASSERT_TRUE(outputShapes.size() == 0 ||
+                outputShapes.size() == testModel.main.outputIndexes.size());
+
+    // Go through all outputs, check returned output shapes.
+    for (uint32_t i = 0; i < outputShapes.size(); i++) {
+        EXPECT_TRUE(outputShapes[i].isSufficient);
+        const auto expect =
+                utils::toSigned(testModel.main.operands[testModel.main.outputIndexes[i]].dimensions)
+                        .value();
+        const std::vector<int32_t>& actual = outputShapes[i].dimensions;
+        EXPECT_EQ(expect, actual);
+    }
+
+    // Retrieve execution results.
+    const std::vector<TestBuffer> outputs = context.getOutputBuffers(request);
+
+    // We want "close-enough" results.
+    if (status == ErrorStatus::NONE) {
+        checkResults(testModel, outputs);
+    }
+}
+
+void runExecutionTests(const std::shared_ptr<IPreparedModel>& preparedModel,
+                       const TestModel& testModel, const Request& request,
+                       const ExecutionContext& context) {
+    for (auto deadlineBound : deadlineBounds) {
+        runExecutionTest(preparedModel, testModel, request, context, deadlineBound);
+    }
+}
+
+void runTests(const std::shared_ptr<IDevice>& device, const TestModel& testModel) {
+    // setup
+    const Model model = createModel(testModel);
+
+    // run prepare model tests
+    runPrepareModelTests(device, model);
+
+    // prepare model
+    std::shared_ptr<IPreparedModel> preparedModel;
+    createPreparedModel(device, model, &preparedModel);
+    if (preparedModel == nullptr) return;
+
+    // run execution tests
+    ExecutionContext context;
+    const Request request = context.createRequest(testModel);
+    runExecutionTests(preparedModel, testModel, request, context);
+}
+
+class DeadlineTest : public GeneratedTestBase {};
+
+TEST_P(DeadlineTest, Test) {
+    runTests(kDevice, kTestModel);
+}
+
+INSTANTIATE_GENERATED_TEST(DeadlineTest,
+                           [](const TestModel& testModel) { return !testModel.expectFailure; });
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/TestAssertions.cpp b/neuralnetworks/aidl/vts/functional/TestAssertions.cpp
new file mode 100644
index 0000000..a9e9456
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/TestAssertions.cpp
@@ -0,0 +1,153 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <aidl/android/hardware/neuralnetworks/IPreparedModel.h>
+#include <aidl/android/hardware/neuralnetworks/OperandType.h>
+#include <aidl/android/hardware/neuralnetworks/OperationType.h>
+
+#include <ControlFlow.h>
+#include <TestHarness.h>
+
+namespace aidl::android::hardware::neuralnetworks {
+
+namespace nn = ::android::nn;
+
+static_assert(static_cast<uint64_t>(IPreparedModel::DEFAULT_LOOP_TIMEOUT_DURATION_NS) ==
+              nn::operation_while::kTimeoutNsDefault);
+static_assert(static_cast<uint64_t>(IPreparedModel::MAXIMUM_LOOP_TIMEOUT_DURATION_NS) ==
+              nn::operation_while::kTimeoutNsMaximum);
+
+// Make sure that the HIDL enums are compatible with the values defined in
+// frameworks/ml/nn/tools/test_generator/test_harness/include/TestHarness.h.
+using namespace test_helper;
+#define CHECK_TEST_ENUM(EnumType, enumValue) \
+    static_assert(static_cast<EnumType>(Test##EnumType::enumValue) == EnumType::enumValue)
+
+CHECK_TEST_ENUM(OperandType, FLOAT32);
+CHECK_TEST_ENUM(OperandType, INT32);
+CHECK_TEST_ENUM(OperandType, UINT32);
+CHECK_TEST_ENUM(OperandType, TENSOR_FLOAT32);
+CHECK_TEST_ENUM(OperandType, TENSOR_INT32);
+CHECK_TEST_ENUM(OperandType, TENSOR_QUANT8_ASYMM);
+CHECK_TEST_ENUM(OperandType, BOOL);
+CHECK_TEST_ENUM(OperandType, TENSOR_QUANT16_SYMM);
+CHECK_TEST_ENUM(OperandType, TENSOR_FLOAT16);
+CHECK_TEST_ENUM(OperandType, TENSOR_BOOL8);
+CHECK_TEST_ENUM(OperandType, FLOAT16);
+CHECK_TEST_ENUM(OperandType, TENSOR_QUANT8_SYMM_PER_CHANNEL);
+CHECK_TEST_ENUM(OperandType, TENSOR_QUANT16_ASYMM);
+CHECK_TEST_ENUM(OperandType, TENSOR_QUANT8_SYMM);
+CHECK_TEST_ENUM(OperandType, TENSOR_QUANT8_ASYMM_SIGNED);
+
+CHECK_TEST_ENUM(OperationType, ADD);
+CHECK_TEST_ENUM(OperationType, AVERAGE_POOL_2D);
+CHECK_TEST_ENUM(OperationType, CONCATENATION);
+CHECK_TEST_ENUM(OperationType, CONV_2D);
+CHECK_TEST_ENUM(OperationType, DEPTHWISE_CONV_2D);
+CHECK_TEST_ENUM(OperationType, DEPTH_TO_SPACE);
+CHECK_TEST_ENUM(OperationType, DEQUANTIZE);
+CHECK_TEST_ENUM(OperationType, EMBEDDING_LOOKUP);
+CHECK_TEST_ENUM(OperationType, FLOOR);
+CHECK_TEST_ENUM(OperationType, FULLY_CONNECTED);
+CHECK_TEST_ENUM(OperationType, HASHTABLE_LOOKUP);
+CHECK_TEST_ENUM(OperationType, L2_NORMALIZATION);
+CHECK_TEST_ENUM(OperationType, L2_POOL_2D);
+CHECK_TEST_ENUM(OperationType, LOCAL_RESPONSE_NORMALIZATION);
+CHECK_TEST_ENUM(OperationType, LOGISTIC);
+CHECK_TEST_ENUM(OperationType, LSH_PROJECTION);
+CHECK_TEST_ENUM(OperationType, LSTM);
+CHECK_TEST_ENUM(OperationType, MAX_POOL_2D);
+CHECK_TEST_ENUM(OperationType, MUL);
+CHECK_TEST_ENUM(OperationType, RELU);
+CHECK_TEST_ENUM(OperationType, RELU1);
+CHECK_TEST_ENUM(OperationType, RELU6);
+CHECK_TEST_ENUM(OperationType, RESHAPE);
+CHECK_TEST_ENUM(OperationType, RESIZE_BILINEAR);
+CHECK_TEST_ENUM(OperationType, RNN);
+CHECK_TEST_ENUM(OperationType, SOFTMAX);
+CHECK_TEST_ENUM(OperationType, SPACE_TO_DEPTH);
+CHECK_TEST_ENUM(OperationType, SVDF);
+CHECK_TEST_ENUM(OperationType, TANH);
+CHECK_TEST_ENUM(OperationType, BATCH_TO_SPACE_ND);
+CHECK_TEST_ENUM(OperationType, DIV);
+CHECK_TEST_ENUM(OperationType, MEAN);
+CHECK_TEST_ENUM(OperationType, PAD);
+CHECK_TEST_ENUM(OperationType, SPACE_TO_BATCH_ND);
+CHECK_TEST_ENUM(OperationType, SQUEEZE);
+CHECK_TEST_ENUM(OperationType, STRIDED_SLICE);
+CHECK_TEST_ENUM(OperationType, SUB);
+CHECK_TEST_ENUM(OperationType, TRANSPOSE);
+CHECK_TEST_ENUM(OperationType, ABS);
+CHECK_TEST_ENUM(OperationType, ARGMAX);
+CHECK_TEST_ENUM(OperationType, ARGMIN);
+CHECK_TEST_ENUM(OperationType, AXIS_ALIGNED_BBOX_TRANSFORM);
+CHECK_TEST_ENUM(OperationType, BIDIRECTIONAL_SEQUENCE_LSTM);
+CHECK_TEST_ENUM(OperationType, BIDIRECTIONAL_SEQUENCE_RNN);
+CHECK_TEST_ENUM(OperationType, BOX_WITH_NMS_LIMIT);
+CHECK_TEST_ENUM(OperationType, CAST);
+CHECK_TEST_ENUM(OperationType, CHANNEL_SHUFFLE);
+CHECK_TEST_ENUM(OperationType, DETECTION_POSTPROCESSING);
+CHECK_TEST_ENUM(OperationType, EQUAL);
+CHECK_TEST_ENUM(OperationType, EXP);
+CHECK_TEST_ENUM(OperationType, EXPAND_DIMS);
+CHECK_TEST_ENUM(OperationType, GATHER);
+CHECK_TEST_ENUM(OperationType, GENERATE_PROPOSALS);
+CHECK_TEST_ENUM(OperationType, GREATER);
+CHECK_TEST_ENUM(OperationType, GREATER_EQUAL);
+CHECK_TEST_ENUM(OperationType, GROUPED_CONV_2D);
+CHECK_TEST_ENUM(OperationType, HEATMAP_MAX_KEYPOINT);
+CHECK_TEST_ENUM(OperationType, INSTANCE_NORMALIZATION);
+CHECK_TEST_ENUM(OperationType, LESS);
+CHECK_TEST_ENUM(OperationType, LESS_EQUAL);
+CHECK_TEST_ENUM(OperationType, LOG);
+CHECK_TEST_ENUM(OperationType, LOGICAL_AND);
+CHECK_TEST_ENUM(OperationType, LOGICAL_NOT);
+CHECK_TEST_ENUM(OperationType, LOGICAL_OR);
+CHECK_TEST_ENUM(OperationType, LOG_SOFTMAX);
+CHECK_TEST_ENUM(OperationType, MAXIMUM);
+CHECK_TEST_ENUM(OperationType, MINIMUM);
+CHECK_TEST_ENUM(OperationType, NEG);
+CHECK_TEST_ENUM(OperationType, NOT_EQUAL);
+CHECK_TEST_ENUM(OperationType, PAD_V2);
+CHECK_TEST_ENUM(OperationType, POW);
+CHECK_TEST_ENUM(OperationType, PRELU);
+CHECK_TEST_ENUM(OperationType, QUANTIZE);
+CHECK_TEST_ENUM(OperationType, QUANTIZED_16BIT_LSTM);
+CHECK_TEST_ENUM(OperationType, RANDOM_MULTINOMIAL);
+CHECK_TEST_ENUM(OperationType, REDUCE_ALL);
+CHECK_TEST_ENUM(OperationType, REDUCE_ANY);
+CHECK_TEST_ENUM(OperationType, REDUCE_MAX);
+CHECK_TEST_ENUM(OperationType, REDUCE_MIN);
+CHECK_TEST_ENUM(OperationType, REDUCE_PROD);
+CHECK_TEST_ENUM(OperationType, REDUCE_SUM);
+CHECK_TEST_ENUM(OperationType, ROI_ALIGN);
+CHECK_TEST_ENUM(OperationType, ROI_POOLING);
+CHECK_TEST_ENUM(OperationType, RSQRT);
+CHECK_TEST_ENUM(OperationType, SELECT);
+CHECK_TEST_ENUM(OperationType, SIN);
+CHECK_TEST_ENUM(OperationType, SLICE);
+CHECK_TEST_ENUM(OperationType, SPLIT);
+CHECK_TEST_ENUM(OperationType, SQRT);
+CHECK_TEST_ENUM(OperationType, TILE);
+CHECK_TEST_ENUM(OperationType, TOPK_V2);
+CHECK_TEST_ENUM(OperationType, TRANSPOSE_CONV_2D);
+CHECK_TEST_ENUM(OperationType, UNIDIRECTIONAL_SEQUENCE_LSTM);
+CHECK_TEST_ENUM(OperationType, UNIDIRECTIONAL_SEQUENCE_RNN);
+CHECK_TEST_ENUM(OperationType, RESIZE_NEAREST_NEIGHBOR);
+
+#undef CHECK_TEST_ENUM
+
+}  // namespace aidl::android::hardware::neuralnetworks
diff --git a/neuralnetworks/aidl/vts/functional/TestMain.cpp b/neuralnetworks/aidl/vts/functional/TestMain.cpp
new file mode 100644
index 0000000..1d58608
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/TestMain.cpp
@@ -0,0 +1,27 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <android/binder_process.h>
+#include <gtest/gtest.h>
+#include "LogTestCaseToLogcat.h"
+
+int main(int argc, char** argv) {
+    testing::InitGoogleTest(&argc, argv);
+    testing::UnitTest::GetInstance()->listeners().Append(
+            new aidl::android::hardware::neuralnetworks::LogTestCaseToLogcat());
+    ABinderProcess_startThreadPool();
+    return RUN_ALL_TESTS();
+}
diff --git a/neuralnetworks/aidl/vts/functional/Utils.cpp b/neuralnetworks/aidl/vts/functional/Utils.cpp
new file mode 100644
index 0000000..14a496a
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/Utils.cpp
@@ -0,0 +1,252 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Utils.h"
+
+#include <aidl/android/hardware/neuralnetworks/IPreparedModelParcel.h>
+#include <aidl/android/hardware/neuralnetworks/Operand.h>
+#include <aidl/android/hardware/neuralnetworks/OperandType.h>
+#include <android-base/logging.h>
+#include <android/binder_status.h>
+#include <android/hardware_buffer.h>
+
+#include <iostream>
+#include <limits>
+#include <numeric>
+
+#include <MemoryUtils.h>
+#include <nnapi/SharedMemory.h>
+#include <nnapi/hal/aidl/Conversions.h>
+#include <nnapi/hal/aidl/Utils.h>
+
+namespace aidl::android::hardware::neuralnetworks {
+
+using test_helper::TestBuffer;
+using test_helper::TestModel;
+
+uint32_t sizeOfData(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+            return 4;
+        case OperandType::TENSOR_QUANT16_SYMM:
+        case OperandType::TENSOR_FLOAT16:
+        case OperandType::FLOAT16:
+        case OperandType::TENSOR_QUANT16_ASYMM:
+            return 2;
+        case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::BOOL:
+        case OperandType::TENSOR_BOOL8:
+        case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+        case OperandType::TENSOR_QUANT8_SYMM:
+        case OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
+            return 1;
+        case OperandType::SUBGRAPH:
+            return 0;
+        default:
+            CHECK(false) << "Invalid OperandType " << static_cast<uint32_t>(type);
+            return 0;
+    }
+}
+
+static bool isTensor(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::FLOAT16:
+        case OperandType::BOOL:
+        case OperandType::SUBGRAPH:
+            return false;
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+        case OperandType::TENSOR_QUANT16_SYMM:
+        case OperandType::TENSOR_FLOAT16:
+        case OperandType::TENSOR_QUANT16_ASYMM:
+        case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_BOOL8:
+        case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+        case OperandType::TENSOR_QUANT8_SYMM:
+        case OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
+            return true;
+        default:
+            CHECK(false) << "Invalid OperandType " << static_cast<uint32_t>(type);
+            return false;
+    }
+}
+
+uint32_t sizeOfData(const Operand& operand) {
+    const uint32_t dataSize = sizeOfData(operand.type);
+    if (isTensor(operand.type) && operand.dimensions.size() == 0) return 0;
+    return std::accumulate(operand.dimensions.begin(), operand.dimensions.end(), dataSize,
+                           std::multiplies<>{});
+}
+
+std::unique_ptr<TestAshmem> TestAshmem::create(uint32_t size) {
+    auto ashmem = std::make_unique<TestAshmem>(size);
+    return ashmem->mIsValid ? std::move(ashmem) : nullptr;
+}
+
+void TestAshmem::initialize(uint32_t size) {
+    mIsValid = false;
+    ASSERT_GT(size, 0);
+    const auto sharedMemory = nn::createSharedMemory(size).value();
+    mMappedMemory = nn::map(sharedMemory).value();
+    mPtr = static_cast<uint8_t*>(std::get<void*>(mMappedMemory.pointer));
+    CHECK_NE(mPtr, nullptr);
+    mAidlMemory = utils::convert(sharedMemory).value();
+    mIsValid = true;
+}
+
+std::unique_ptr<TestBlobAHWB> TestBlobAHWB::create(uint32_t size) {
+    auto ahwb = std::make_unique<TestBlobAHWB>(size);
+    return ahwb->mIsValid ? std::move(ahwb) : nullptr;
+}
+
+void TestBlobAHWB::initialize(uint32_t size) {
+    mIsValid = false;
+    ASSERT_GT(size, 0);
+    const auto usage = AHARDWAREBUFFER_USAGE_CPU_READ_OFTEN | AHARDWAREBUFFER_USAGE_CPU_WRITE_OFTEN;
+    const AHardwareBuffer_Desc desc = {
+            .width = size,
+            .height = 1,
+            .layers = 1,
+            .format = AHARDWAREBUFFER_FORMAT_BLOB,
+            .usage = usage,
+            .stride = size,
+    };
+
+    ASSERT_EQ(AHardwareBuffer_allocate(&desc, &mAhwb), 0);
+    ASSERT_NE(mAhwb, nullptr);
+
+    const auto sharedMemory = nn::createSharedMemoryFromAHWB(*mAhwb).value();
+    mMapping = nn::map(sharedMemory).value();
+    mPtr = static_cast<uint8_t*>(std::get<void*>(mMapping.pointer));
+    CHECK_NE(mPtr, nullptr);
+    mAidlMemory = utils::convert(sharedMemory).value();
+
+    mIsValid = true;
+}
+
+TestBlobAHWB::~TestBlobAHWB() {
+    if (mAhwb) {
+        AHardwareBuffer_unlock(mAhwb, nullptr);
+        AHardwareBuffer_release(mAhwb);
+    }
+}
+
+std::string gtestCompliantName(std::string name) {
+    // gtest test names must only contain alphanumeric characters
+    std::replace_if(
+            name.begin(), name.end(), [](char c) { return !std::isalnum(c); }, '_');
+    return name;
+}
+
+::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus) {
+    return os << toString(errorStatus);
+}
+
+Request ExecutionContext::createRequest(const TestModel& testModel, MemoryType memoryType) {
+    CHECK(memoryType == MemoryType::ASHMEM || memoryType == MemoryType::BLOB_AHWB);
+
+    // Model inputs.
+    std::vector<RequestArgument> inputs(testModel.main.inputIndexes.size());
+    size_t inputSize = 0;
+    for (uint32_t i = 0; i < testModel.main.inputIndexes.size(); i++) {
+        const auto& op = testModel.main.operands[testModel.main.inputIndexes[i]];
+        if (op.data.size() == 0) {
+            // Omitted input.
+            inputs[i] = {.hasNoValue = true};
+        } else {
+            DataLocation loc = {.poolIndex = kInputPoolIndex,
+                                .offset = static_cast<int64_t>(inputSize),
+                                .length = static_cast<int64_t>(op.data.size())};
+            inputSize += op.data.alignedSize();
+            inputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}};
+        }
+    }
+
+    // Model outputs.
+    std::vector<RequestArgument> outputs(testModel.main.outputIndexes.size());
+    size_t outputSize = 0;
+    for (uint32_t i = 0; i < testModel.main.outputIndexes.size(); i++) {
+        const auto& op = testModel.main.operands[testModel.main.outputIndexes[i]];
+
+        // In the case of zero-sized output, we should at least provide a one-byte buffer.
+        // This is because zero-sized tensors are only supported internally to the driver, or
+        // reported in output shapes. It is illegal for the client to pre-specify a zero-sized
+        // tensor as model output. Otherwise, we will have two semantic conflicts:
+        // - "Zero dimension" conflicts with "unspecified dimension".
+        // - "Omitted operand buffer" conflicts with "zero-sized operand buffer".
+        size_t bufferSize = std::max<size_t>(op.data.size(), 1);
+
+        DataLocation loc = {.poolIndex = kOutputPoolIndex,
+                            .offset = static_cast<int64_t>(outputSize),
+                            .length = static_cast<int64_t>(bufferSize)};
+        outputSize += op.data.size() == 0 ? TestBuffer::kAlignment : op.data.alignedSize();
+        outputs[i] = {.hasNoValue = false, .location = loc, .dimensions = {}};
+    }
+
+    // Allocate memory pools.
+    if (memoryType == MemoryType::ASHMEM) {
+        mInputMemory = TestAshmem::create(inputSize);
+        mOutputMemory = TestAshmem::create(outputSize);
+    } else {
+        mInputMemory = TestBlobAHWB::create(inputSize);
+        mOutputMemory = TestBlobAHWB::create(outputSize);
+    }
+    CHECK_NE(mInputMemory, nullptr);
+    CHECK_NE(mOutputMemory, nullptr);
+
+    auto copiedInputMemory = utils::clone(*mInputMemory->getAidlMemory());
+    CHECK(copiedInputMemory.has_value()) << copiedInputMemory.error().message;
+    auto copiedOutputMemory = utils::clone(*mOutputMemory->getAidlMemory());
+    CHECK(copiedOutputMemory.has_value()) << copiedOutputMemory.error().message;
+
+    std::vector<RequestMemoryPool> pools;
+    pools.push_back(RequestMemoryPool::make<RequestMemoryPool::Tag::pool>(
+            std::move(copiedInputMemory).value()));
+    pools.push_back(RequestMemoryPool::make<RequestMemoryPool::Tag::pool>(
+            std::move(copiedOutputMemory).value()));
+
+    // Copy input data to the memory pool.
+    uint8_t* inputPtr = mInputMemory->getPointer();
+    for (uint32_t i = 0; i < testModel.main.inputIndexes.size(); i++) {
+        const auto& op = testModel.main.operands[testModel.main.inputIndexes[i]];
+        if (op.data.size() > 0) {
+            const uint8_t* begin = op.data.get<uint8_t>();
+            const uint8_t* end = begin + op.data.size();
+            std::copy(begin, end, inputPtr + inputs[i].location.offset);
+        }
+    }
+
+    return {.inputs = std::move(inputs), .outputs = std::move(outputs), .pools = std::move(pools)};
+}
+
+std::vector<TestBuffer> ExecutionContext::getOutputBuffers(const Request& request) const {
+    // Copy out output results.
+    uint8_t* outputPtr = mOutputMemory->getPointer();
+    std::vector<TestBuffer> outputBuffers;
+    for (const auto& output : request.outputs) {
+        outputBuffers.emplace_back(output.location.length, outputPtr + output.location.offset);
+    }
+    return outputBuffers;
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks
diff --git a/neuralnetworks/aidl/vts/functional/Utils.h b/neuralnetworks/aidl/vts/functional/Utils.h
new file mode 100644
index 0000000..266301c
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/Utils.h
@@ -0,0 +1,153 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_NEURALNETWORKS_AIDL_UTILS_H
+#define ANDROID_HARDWARE_NEURALNETWORKS_AIDL_UTILS_H
+
+#include <android-base/logging.h>
+#include <android/hardware_buffer.h>
+#include <gtest/gtest.h>
+
+#include <algorithm>
+#include <iosfwd>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include <aidl/android/hardware/neuralnetworks/IDevice.h>
+#include <aidl/android/hardware/neuralnetworks/Memory.h>
+#include <aidl/android/hardware/neuralnetworks/Operand.h>
+#include <aidl/android/hardware/neuralnetworks/OperandType.h>
+#include <aidl/android/hardware/neuralnetworks/Priority.h>
+#include <aidl/android/hardware/neuralnetworks/Request.h>
+
+#include <TestHarness.h>
+#include <nnapi/SharedMemory.h>
+
+namespace aidl::android::hardware::neuralnetworks {
+
+namespace nn = ::android::nn;
+
+inline constexpr Priority kDefaultPriority = Priority::MEDIUM;
+
+inline constexpr Timing kNoTiming = {.timeOnDevice = -1, .timeInDriver = -1};
+inline constexpr int64_t kNoDeadline = -1;
+inline constexpr int64_t kOmittedTimeoutDuration = -1;
+inline constexpr int64_t kNoDuration = -1;
+inline const std::vector<uint8_t> kEmptyCacheToken(IDevice::BYTE_SIZE_OF_CACHE_TOKEN);
+
+// Returns the amount of space needed to store a value of the specified type.
+//
+// Aborts if the specified type is an extension type or OEM type.
+uint32_t sizeOfData(OperandType type);
+
+// Returns the amount of space needed to store a value of the dimensions and
+// type of this operand. For a non-extension, non-OEM tensor with unspecified
+// rank or at least one unspecified dimension, returns zero.
+//
+// Aborts if the specified type is an extension type or OEM type.
+uint32_t sizeOfData(const Operand& operand);
+
+// Convenience class to manage the lifetime of memory resources.
+class TestMemoryBase {
+    DISALLOW_COPY_AND_ASSIGN(TestMemoryBase);
+
+  public:
+    TestMemoryBase() = default;
+    virtual ~TestMemoryBase() = default;
+    uint8_t* getPointer() const { return mPtr; }
+    const Memory* getAidlMemory() const { return &mAidlMemory; }
+
+  protected:
+    uint8_t* mPtr = nullptr;
+    Memory mAidlMemory;
+    bool mIsValid = false;
+};
+
+class TestAshmem : public TestMemoryBase {
+  public:
+    static std::unique_ptr<TestAshmem> create(uint32_t size);
+
+    // Prefer TestAshmem::create.
+    // The constructor calls initialize, which constructs the memory resources. This is a workaround
+    // that gtest macros cannot be used directly in a constructor.
+    TestAshmem(uint32_t size) { initialize(size); }
+
+  private:
+    void initialize(uint32_t size);
+    nn::Mapping mMappedMemory;
+};
+
+class TestBlobAHWB : public TestMemoryBase {
+  public:
+    static std::unique_ptr<TestBlobAHWB> create(uint32_t size);
+
+    // Prefer TestBlobAHWB::create.
+    // The constructor calls initialize, which constructs the memory resources. This is a
+    // workaround that gtest macros cannot be used directly in a constructor.
+    TestBlobAHWB(uint32_t size) { initialize(size); }
+    ~TestBlobAHWB();
+
+  private:
+    void initialize(uint32_t size);
+    AHardwareBuffer* mAhwb = nullptr;
+    nn::Mapping mMapping;
+};
+
+enum class MemoryType { ASHMEM, BLOB_AHWB, DEVICE };
+
+// Manages the lifetime of memory resources used in an execution.
+class ExecutionContext {
+    DISALLOW_COPY_AND_ASSIGN(ExecutionContext);
+
+  public:
+    static constexpr uint32_t kInputPoolIndex = 0;
+    static constexpr uint32_t kOutputPoolIndex = 1;
+
+    ExecutionContext() = default;
+
+    // Create HIDL Request from the TestModel struct.
+    Request createRequest(const test_helper::TestModel& testModel,
+                          MemoryType memoryType = MemoryType::ASHMEM);
+
+    // After execution, copy out output results from the output memory pool.
+    std::vector<test_helper::TestBuffer> getOutputBuffers(const Request& request) const;
+
+  private:
+    std::unique_ptr<TestMemoryBase> mInputMemory, mOutputMemory;
+};
+
+template <typename Type>
+using Named = std::pair<std::string, Type>;
+
+template <typename Type>
+const std::string& getName(const Named<Type>& namedData) {
+    return namedData.first;
+}
+
+template <typename Type>
+const Type& getData(const Named<Type>& namedData) {
+    return namedData.second;
+}
+
+std::string gtestCompliantName(std::string name);
+
+// pretty-print values for error messages
+::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus);
+
+}  // namespace aidl::android::hardware::neuralnetworks
+
+#endif  // ANDROID_HARDWARE_NEURALNETWORKS_AIDL_UTILS_H
diff --git a/neuralnetworks/aidl/vts/functional/ValidateModel.cpp b/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
new file mode 100644
index 0000000..b84d981
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
@@ -0,0 +1,1338 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_aidl_hal_test"
+
+#include <aidl/android/hardware/common/NativeHandle.h>
+#include <android/binder_auto_utils.h>
+#include <android/binder_enums.h>
+#include <android/binder_interface_utils.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/hal/aidl/Conversions.h>
+#include <nnapi/hal/aidl/Utils.h>
+
+#include <optional>
+#include <type_traits>
+#include <utility>
+
+#include "Callbacks.h"
+#include "GeneratedTestHarness.h"
+#include "Utils.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using common::NativeHandle;
+using implementation::PreparedModelCallback;
+
+using PrepareModelMutation = std::function<void(Model*, ExecutionPreference*, Priority*)>;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+static void validateGetSupportedOperations(const std::shared_ptr<IDevice>& device,
+                                           const std::string& message, const Model& model) {
+    SCOPED_TRACE(message + " [getSupportedOperations]");
+
+    std::vector<bool> supported;
+    const auto retStatus = device->getSupportedOperations(model, &supported);
+
+    ASSERT_FALSE(retStatus.isOk());
+    ASSERT_EQ(retStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
+    ASSERT_EQ(static_cast<ErrorStatus>(retStatus.getServiceSpecificError()),
+              ErrorStatus::INVALID_ARGUMENT);
+}
+
+static void validatePrepareModel(const std::shared_ptr<IDevice>& device, const std::string& message,
+                                 const Model& model, ExecutionPreference preference,
+                                 Priority priority) {
+    SCOPED_TRACE(message + " [prepareModel]");
+
+    std::shared_ptr<PreparedModelCallback> preparedModelCallback =
+            ndk::SharedRefBase::make<PreparedModelCallback>();
+    const auto prepareLaunchStatus =
+            device->prepareModel(model, preference, priority, kNoDeadline, {}, {}, kEmptyCacheToken,
+                                 preparedModelCallback);
+    ASSERT_FALSE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(prepareLaunchStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
+    ASSERT_EQ(static_cast<ErrorStatus>(prepareLaunchStatus.getServiceSpecificError()),
+              ErrorStatus::INVALID_ARGUMENT);
+
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, prepareReturnStatus);
+    std::shared_ptr<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+    ASSERT_EQ(nullptr, preparedModel.get());
+}
+
+static bool validExecutionPreference(ExecutionPreference preference) {
+    return preference == ExecutionPreference::LOW_POWER ||
+           preference == ExecutionPreference::FAST_SINGLE_ANSWER ||
+           preference == ExecutionPreference::SUSTAINED_SPEED;
+}
+
+static bool validExecutionPriority(Priority priority) {
+    return priority == Priority::LOW || priority == Priority::MEDIUM || priority == Priority::HIGH;
+}
+
+// Primary validation function. This function will take a valid model, apply a
+// mutation to invalidate the model, the execution preference, or the priority,
+// then pass these to supportedOperations and/or prepareModel if that method is
+// called with an invalid argument.
+static void validate(const std::shared_ptr<IDevice>& device, const std::string& message,
+                     const Model& originalModel, const PrepareModelMutation& mutate) {
+    Model model = utils::clone(originalModel).value();
+    ExecutionPreference preference = ExecutionPreference::FAST_SINGLE_ANSWER;
+    Priority priority = kDefaultPriority;
+    mutate(&model, &preference, &priority);
+
+    if (validExecutionPreference(preference) && validExecutionPriority(priority)) {
+        validateGetSupportedOperations(device, message, model);
+    }
+
+    validatePrepareModel(device, message, model, preference, priority);
+}
+
+static uint32_t addOperand(Model* model) {
+    model->main.operands.push_back({
+            .type = OperandType::INT32,
+            .dimensions = {},
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+    });
+    return model->main.operands.size() - 1;
+}
+
+static uint32_t addOperand(Model* model, OperandLifeTime lifetime) {
+    uint32_t index = addOperand(model);
+    model->main.operands[index].lifetime = lifetime;
+    return index;
+}
+
+// If we introduce a CONSTANT_COPY for an operand of size operandSize,
+// how much will this increase the size of the model?  This assumes
+// that we can (re)use all of model.operandValues for the operand
+// value.
+static size_t constantCopyExtraSize(const Model& model, size_t operandSize) {
+    const size_t operandValuesSize = model.operandValues.size();
+    return (operandValuesSize < operandSize) ? (operandSize - operandValuesSize) : 0;
+}
+
+// Highly specialized utility routine for converting an operand to
+// CONSTANT_COPY lifetime.
+//
+// Expects that:
+// - operand has a known size
+// - operand->lifetime has already been set to CONSTANT_COPY
+// - operand->location has been zeroed out
+//
+// Does the following:
+// - initializes operand->location to point to the beginning of model->operandValues
+// - resizes model->operandValues (if necessary) to be large enough for the operand
+//   value, padding it with zeroes on the end
+//
+// Potential problem:
+// By changing the operand to CONSTANT_COPY lifetime, this function is effectively initializing the
+// operand with unspecified (but deterministic) data. This means that the model may be invalidated
+// in two ways: not only is the lifetime of CONSTANT_COPY invalid, but the operand's value in the
+// graph may also be invalid (e.g., if the operand is used as an activation code and has an invalid
+// value). For now, this should be fine because it just means we're not testing what we think we're
+// testing in certain cases; but we can handwave this and assume we're probabilistically likely to
+// exercise the validation code over the span of the entire test set and operand space.
+//
+// Aborts if the specified operand type is an extension type or OEM type.
+static void becomeConstantCopy(Model* model, Operand* operand) {
+    // sizeOfData will abort if the specified type is an extension type or OEM type.
+    const size_t sizeOfOperand = sizeOfData(*operand);
+    EXPECT_NE(sizeOfOperand, size_t(0));
+    operand->location.poolIndex = 0;
+    operand->location.offset = 0;
+    operand->location.length = sizeOfOperand;
+    if (model->operandValues.size() < sizeOfOperand) {
+        model->operandValues.resize(sizeOfOperand);
+    }
+}
+
+// The sizeForBinder() functions estimate the size of the
+// representation of a value when sent to binder.  It's probably a bit
+// of an under-estimate, because we don't know the size of the
+// metadata in the binder format (e.g., representation of the size of
+// a vector); but at least it adds up "big" things like vector
+// contents.  However, it doesn't treat inter-field or end-of-struct
+// padding in a methodical way -- there's no attempt to be consistent
+// in whether or not padding in the native (C++) representation
+// contributes to the estimated size for the binder representation;
+// and there's no attempt to understand what padding (if any) is
+// needed in the binder representation.
+//
+// This assumes that non-metadata uses a fixed length encoding (e.g.,
+// a uint32_t is always encoded in sizeof(uint32_t) bytes, rather than
+// using an encoding whose length is related to the magnitude of the
+// encoded value).
+
+template <typename Type>
+static size_t sizeForBinder(const Type& val) {
+    static_assert(std::is_trivially_copyable_v<std::remove_reference_t<Type>>,
+                  "expected a trivially copyable type");
+    return sizeof(val);
+}
+
+template <typename Type>
+static size_t sizeForBinder(const std::vector<Type>& vec) {
+    return std::accumulate(vec.begin(), vec.end(), 0,
+                           [](size_t acc, const Type& x) { return acc + sizeForBinder(x); });
+}
+
+template <>
+size_t sizeForBinder(const SymmPerChannelQuantParams& symmPerChannelQuantParams) {
+    size_t size = 0;
+
+    size += sizeForBinder(symmPerChannelQuantParams.scales);
+    size += sizeForBinder(symmPerChannelQuantParams.channelDim);
+
+    return size;
+}
+
+template <>
+size_t sizeForBinder(const std::optional<OperandExtraParams>& optionalExtraParams) {
+    if (!optionalExtraParams.has_value()) {
+        return 0;
+    }
+    const auto& extraParams = optionalExtraParams.value();
+    using Tag = OperandExtraParams::Tag;
+    switch (extraParams.getTag()) {
+        case Tag::channelQuant:
+            return sizeForBinder(extraParams.get<Tag::channelQuant>());
+        case Tag::extension:
+            return sizeForBinder(extraParams.get<Tag::extension>());
+    }
+    LOG(FATAL) << "Unrecognized extraParams tag: " << static_cast<int>(extraParams.getTag());
+    return 0;
+}
+
+template <>
+size_t sizeForBinder(const Operand& operand) {
+    size_t size = 0;
+
+    size += sizeForBinder(operand.type);
+    size += sizeForBinder(operand.dimensions);
+    size += sizeForBinder(operand.scale);
+    size += sizeForBinder(operand.zeroPoint);
+    size += sizeForBinder(operand.lifetime);
+    size += sizeForBinder(operand.location);
+    size += sizeForBinder(operand.extraParams);
+
+    return size;
+}
+
+template <>
+size_t sizeForBinder(const Operation& operation) {
+    size_t size = 0;
+
+    size += sizeForBinder(operation.type);
+    size += sizeForBinder(operation.inputs);
+    size += sizeForBinder(operation.outputs);
+
+    return size;
+}
+
+template <>
+size_t sizeForBinder(const std::string& name) {
+    return name.size();
+}
+
+template <>
+size_t sizeForBinder(const Memory& memory) {
+    // This is just a guess.
+
+    size_t size = 0;
+    const NativeHandle& handle = memory.handle;
+    size += sizeof(decltype(handle.fds)::value_type) * handle.fds.size();
+    size += sizeof(decltype(handle.ints)::value_type) * handle.ints.size();
+    size += sizeForBinder(memory.name);
+    size += sizeof(memory);
+
+    return size;
+}
+
+template <>
+size_t sizeForBinder(const Subgraph& subgraph) {
+    size_t size = 0;
+
+    size += sizeForBinder(subgraph.operands);
+    size += sizeForBinder(subgraph.operations);
+    size += sizeForBinder(subgraph.inputIndexes);
+    size += sizeForBinder(subgraph.outputIndexes);
+
+    return size;
+}
+
+template <>
+size_t sizeForBinder(const ExtensionNameAndPrefix& extensionNameToPrefix) {
+    size_t size = 0;
+
+    size += sizeForBinder(extensionNameToPrefix.name);
+    size += sizeForBinder(extensionNameToPrefix.prefix);
+
+    return size;
+}
+
+template <>
+size_t sizeForBinder(const Model& model) {
+    size_t size = 0;
+
+    size += sizeForBinder(model.main);
+    size += sizeForBinder(model.referenced);
+    size += sizeForBinder(model.operandValues);
+    size += sizeForBinder(model.pools);
+    size += sizeForBinder(model.relaxComputationFloat32toFloat16);
+    size += sizeForBinder(model.extensionNameToPrefix);
+
+    return size;
+}
+
+// https://developer.android.com/reference/android/os/TransactionTooLargeException.html
+//
+//     "The Binder transaction buffer has a limited fixed size,
+//     currently 1Mb, which is shared by all transactions in progress
+//     for the process."
+//
+// Will our representation fit under this limit?  There are two complications:
+// - Our representation size is just approximate (see sizeForBinder()).
+// - This object may not be the only occupant of the Binder transaction buffer.
+// So we'll be very conservative: We want the representation size to be no
+// larger than half the transaction buffer size.
+//
+// If our representation grows large enough that it still fits within
+// the transaction buffer but combined with other transactions may
+// exceed the buffer size, then we may see intermittent HAL transport
+// errors.
+static bool exceedsBinderSizeLimit(size_t representationSize) {
+    // Instead of using this fixed buffer size, we might instead be able to use
+    // ProcessState::self()->getMmapSize(). However, this has a potential
+    // problem: The binder/mmap size of the current process does not necessarily
+    // indicate the binder/mmap size of the service (i.e., the other process).
+    // The only way it would be a good indication is if both the current process
+    // and the service use the default size.
+    static const size_t kHalfBufferSize = 1024 * 1024 / 2;
+
+    return representationSize > kHalfBufferSize;
+}
+
+///////////////////////// VALIDATE EXECUTION ORDER ////////////////////////////
+
+static void mutateExecutionOrderTest(const std::shared_ptr<IDevice>& device, const Model& model,
+                                     const std::vector<uint32_t>& numberOfConsumers) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        const Operation& operationObj = model.main.operations[operation];
+        for (uint32_t input : operationObj.inputs) {
+            if (model.main.operands[input].lifetime == OperandLifeTime::TEMPORARY_VARIABLE ||
+                model.main.operands[input].lifetime == OperandLifeTime::SUBGRAPH_OUTPUT) {
+                // This operation reads an operand written by some
+                // other operation.  Move this operation to the
+                // beginning of the sequence, ensuring that it reads
+                // the operand before that operand is written, thereby
+                // violating execution order rules.
+                const std::string message = "mutateExecutionOrderTest: operation " +
+                                            std::to_string(operation) + " is a reader";
+                validate(device, message, model,
+                         [operation](Model* model, ExecutionPreference*, Priority*) {
+                             auto& operations = model->main.operations;
+                             std::rotate(operations.begin(), operations.begin() + operation,
+                                         operations.begin() + operation + 1);
+                         });
+                break;  // only need to do this once per operation
+            }
+        }
+        for (uint32_t output : operationObj.outputs) {
+            if (numberOfConsumers[output] > 0) {
+                // This operation writes an operand read by some other
+                // operation.  Move this operation to the end of the
+                // sequence, ensuring that it writes the operand after
+                // that operand is read, thereby violating execution
+                // order rules.
+                const std::string message = "mutateExecutionOrderTest: operation " +
+                                            std::to_string(operation) + " is a writer";
+                validate(device, message, model,
+                         [operation](Model* model, ExecutionPreference*, Priority*) {
+                             auto& operations = model->main.operations;
+                             std::rotate(operations.begin() + operation,
+                                         operations.begin() + operation + 1, operations.end());
+                         });
+                break;  // only need to do this once per operation
+            }
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERAND TYPE /////////////////////////
+
+static const int32_t invalidOperandTypes[] = {
+        -1,
+        static_cast<int32_t>(*(ndk::enum_range<OperandType>().end() - 1)) + 1,
+};
+
+static void mutateOperandTypeTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        for (int32_t invalidOperandType : invalidOperandTypes) {
+            const std::string message = "mutateOperandTypeTest: operand " +
+                                        std::to_string(operand) + " set to value " +
+                                        std::to_string(invalidOperandType);
+            validate(device, message, model,
+                     [operand, invalidOperandType](Model* model, ExecutionPreference*, Priority*) {
+                         model->main.operands[operand].type =
+                                 static_cast<OperandType>(invalidOperandType);
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE OPERAND RANK /////////////////////////
+
+static uint32_t getInvalidRank(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT16:
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::BOOL:
+            return 1;
+        case OperandType::TENSOR_BOOL8:
+        case OperandType::TENSOR_FLOAT16:
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+        case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_QUANT8_SYMM:
+        case OperandType::TENSOR_QUANT16_ASYMM:
+        case OperandType::TENSOR_QUANT16_SYMM:
+        case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+            return 0;
+        default:
+            return 0;
+    }
+}
+
+static void mutateOperandRankTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        const uint32_t invalidRank = getInvalidRank(model.main.operands[operand].type);
+        if (invalidRank == 0) {
+            continue;
+        }
+        const std::string message = "mutateOperandRankTest: operand " + std::to_string(operand) +
+                                    " has rank of " + std::to_string(invalidRank);
+        validate(device, message, model,
+                 [operand, invalidRank](Model* model, ExecutionPreference*, Priority*) {
+                     model->main.operands[operand].dimensions =
+                             std::vector<int32_t>(invalidRank, 0);
+                 });
+    }
+}
+
+///////////////////////// VALIDATE OPERAND SCALE /////////////////////////
+
+static float getInvalidScale(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT16:
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::BOOL:
+        case OperandType::TENSOR_BOOL8:
+        case OperandType::TENSOR_FLOAT16:
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+        case OperandType::SUBGRAPH:
+            return 1.0f;
+        case OperandType::TENSOR_INT32:
+            return -1.0f;
+        case OperandType::TENSOR_QUANT8_SYMM:
+        case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_QUANT16_ASYMM:
+        case OperandType::TENSOR_QUANT16_SYMM:
+            return 0.0f;
+        default:
+            return 0.0f;
+    }
+}
+
+static void mutateOperandScaleTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        const float invalidScale = getInvalidScale(model.main.operands[operand].type);
+        const std::string message = "mutateOperandScaleTest: operand " + std::to_string(operand) +
+                                    " has scale of " + std::to_string(invalidScale);
+        validate(device, message, model,
+                 [operand, invalidScale](Model* model, ExecutionPreference*, Priority*) {
+                     model->main.operands[operand].scale = invalidScale;
+                 });
+    }
+}
+
+///////////////////////// VALIDATE OPERAND ZERO POINT /////////////////////////
+
+static std::vector<int32_t> getInvalidZeroPoints(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT16:
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::BOOL:
+        case OperandType::TENSOR_BOOL8:
+        case OperandType::TENSOR_FLOAT16:
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+        case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+        case OperandType::SUBGRAPH:
+            return {1};
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            return {-1, 256};
+        case OperandType::TENSOR_QUANT8_SYMM:
+            return {-129, -1, 1, 128};
+        case OperandType::TENSOR_QUANT16_ASYMM:
+            return {-1, 65536};
+        case OperandType::TENSOR_QUANT16_SYMM:
+            return {-32769, -1, 1, 32768};
+        default:
+            return {};
+    }
+}
+
+static void mutateOperandZeroPointTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        const std::vector<int32_t> invalidZeroPoints =
+                getInvalidZeroPoints(model.main.operands[operand].type);
+        for (int32_t invalidZeroPoint : invalidZeroPoints) {
+            const std::string message = "mutateOperandZeroPointTest: operand " +
+                                        std::to_string(operand) + " has zero point of " +
+                                        std::to_string(invalidZeroPoint);
+            validate(device, message, model,
+                     [operand, invalidZeroPoint](Model* model, ExecutionPreference*, Priority*) {
+                         model->main.operands[operand].zeroPoint = invalidZeroPoint;
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE OPERAND LIFETIME /////////////////////////////////////////////
+
+static std::vector<OperandLifeTime> getInvalidLifeTimes(const Model& model, size_t modelSize,
+                                                        const Operand& operand) {
+    // TODO: Support OperandLifeTime::CONSTANT_REFERENCE as an invalid lifetime
+    // TODO: Support OperandLifeTime::NO_VALUE as an invalid lifetime
+
+    // Ways to get an invalid lifetime:
+    // - change whether a lifetime means an operand should have a writer
+    std::vector<OperandLifeTime> ret;
+    switch (operand.lifetime) {
+        case OperandLifeTime::SUBGRAPH_OUTPUT:
+        case OperandLifeTime::TEMPORARY_VARIABLE:
+            ret = {
+                    OperandLifeTime::SUBGRAPH_INPUT,
+                    OperandLifeTime::CONSTANT_COPY,
+            };
+            break;
+        case OperandLifeTime::CONSTANT_COPY:
+        case OperandLifeTime::CONSTANT_POOL:
+        case OperandLifeTime::SUBGRAPH_INPUT:
+            ret = {
+                    OperandLifeTime::TEMPORARY_VARIABLE,
+                    OperandLifeTime::SUBGRAPH_OUTPUT,
+            };
+            break;
+        case OperandLifeTime::NO_VALUE:
+            // Not enough information to know whether
+            // TEMPORARY_VARIABLE or CONSTANT_COPY would be invalid --
+            // is this operand written (then CONSTANT_COPY would be
+            // invalid) or not (then TEMPORARY_VARIABLE would be
+            // invalid)?
+            break;
+        case OperandLifeTime::SUBGRAPH:
+            break;
+        default:
+            ADD_FAILURE();
+            break;
+    }
+
+    const size_t operandSize = sizeOfData(operand);  // will be zero if shape is unknown
+    if (!operandSize ||
+        exceedsBinderSizeLimit(modelSize + constantCopyExtraSize(model, operandSize))) {
+        // Unknown size or too-large size
+        ret.erase(std::remove(ret.begin(), ret.end(), OperandLifeTime::CONSTANT_COPY), ret.end());
+    }
+
+    return ret;
+}
+
+static void mutateOperandLifeTimeTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    const size_t modelSize = sizeForBinder(model);
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        const std::vector<OperandLifeTime> invalidLifeTimes =
+                getInvalidLifeTimes(model, modelSize, model.main.operands[operand]);
+        for (OperandLifeTime invalidLifeTime : invalidLifeTimes) {
+            const std::string message = "mutateOperandLifetimeTest: operand " +
+                                        std::to_string(operand) + " has lifetime " +
+                                        toString(invalidLifeTime) + " instead of lifetime " +
+                                        toString(model.main.operands[operand].lifetime);
+            validate(device, message, model,
+                     [operand, invalidLifeTime](Model* model, ExecutionPreference*, Priority*) {
+                         static const DataLocation kZeroDataLocation = {};
+                         Operand& operandObj = model->main.operands[operand];
+                         switch (operandObj.lifetime) {
+                             case OperandLifeTime::SUBGRAPH_INPUT: {
+                                 auto& inputs = model->main.inputIndexes;
+                                 inputs.erase(std::remove(inputs.begin(), inputs.end(), operand),
+                                              inputs.end());
+                                 break;
+                             }
+                             case OperandLifeTime::SUBGRAPH_OUTPUT: {
+                                 auto& outputs = model->main.outputIndexes;
+                                 outputs.erase(std::remove(outputs.begin(), outputs.end(), operand),
+                                               outputs.end());
+                                 break;
+                             }
+                             default:
+                                 break;
+                         }
+                         operandObj.lifetime = invalidLifeTime;
+                         operandObj.location = kZeroDataLocation;
+                         switch (invalidLifeTime) {
+                             case OperandLifeTime::CONSTANT_COPY: {
+                                 becomeConstantCopy(model, &operandObj);
+                                 break;
+                             }
+                             case OperandLifeTime::SUBGRAPH_INPUT:
+                                 model->main.inputIndexes.push_back(operand);
+                                 break;
+                             case OperandLifeTime::SUBGRAPH_OUTPUT:
+                                 model->main.outputIndexes.push_back(operand);
+                                 break;
+                             default:
+                                 break;
+                         }
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE OPERAND INPUT-or-OUTPUT //////////////////////////////////////
+
+static std::optional<OperandLifeTime> getInputOutputLifeTime(const Model& model, size_t modelSize,
+                                                             const Operand& operand) {
+    // Ways to get an invalid lifetime (with respect to model inputIndexes and outputIndexes):
+    // - change whether a lifetime means an operand is a model input, a model output, or neither
+    // - preserve whether or not a lifetime means an operand should have a writer
+    switch (operand.lifetime) {
+        case OperandLifeTime::CONSTANT_COPY:
+        case OperandLifeTime::CONSTANT_POOL:
+            return OperandLifeTime::SUBGRAPH_INPUT;
+        case OperandLifeTime::SUBGRAPH_INPUT: {
+            const size_t operandSize = sizeOfData(operand);  // will be zero if shape is unknown
+            if (!operandSize ||
+                exceedsBinderSizeLimit(modelSize + constantCopyExtraSize(model, operandSize))) {
+                // Unknown size or too-large size
+                break;
+            }
+            return OperandLifeTime::CONSTANT_COPY;
+        }
+        case OperandLifeTime::SUBGRAPH_OUTPUT:
+            return OperandLifeTime::TEMPORARY_VARIABLE;
+        case OperandLifeTime::TEMPORARY_VARIABLE:
+            return OperandLifeTime::SUBGRAPH_OUTPUT;
+        case OperandLifeTime::NO_VALUE:
+            // Not enough information to know whether
+            // TEMPORARY_VARIABLE or CONSTANT_COPY would be an
+            // appropriate choice -- is this operand written (then
+            // TEMPORARY_VARIABLE would be appropriate) or not (then
+            // CONSTANT_COPY would be appropriate)?
+            break;
+        case OperandLifeTime::SUBGRAPH:
+            break;
+        default:
+            ADD_FAILURE();
+            break;
+    }
+
+    return std::nullopt;
+}
+
+static void mutateOperandInputOutputTest(const std::shared_ptr<IDevice>& device,
+                                         const Model& model) {
+    const size_t modelSize = sizeForBinder(model);
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        const std::optional<OperandLifeTime> changedLifeTime =
+                getInputOutputLifeTime(model, modelSize, model.main.operands[operand]);
+        if (changedLifeTime) {
+            const std::string message = "mutateOperandInputOutputTest: operand " +
+                                        std::to_string(operand) + " has lifetime " +
+                                        toString(*changedLifeTime) + " instead of lifetime " +
+                                        toString(model.main.operands[operand].lifetime);
+            validate(device, message, model,
+                     [operand, changedLifeTime](Model* model, ExecutionPreference*, Priority*) {
+                         static const DataLocation kZeroDataLocation = {};
+                         Operand& operandObj = model->main.operands[operand];
+                         operandObj.lifetime = *changedLifeTime;
+                         operandObj.location = kZeroDataLocation;
+                         if (*changedLifeTime == OperandLifeTime::CONSTANT_COPY) {
+                             becomeConstantCopy(model, &operandObj);
+                         }
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE OPERAND NUMBER OF WRITERS ////////////////////////////////////
+
+static void mutateOperandAddWriterTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        for (size_t badOutputNum = 0;
+             badOutputNum < model.main.operations[operation].outputs.size(); ++badOutputNum) {
+            const uint32_t outputOperandIndex =
+                    model.main.operations[operation].outputs[badOutputNum];
+            const std::string message = "mutateOperandAddWriterTest: operation " +
+                                        std::to_string(operation) + " writes to " +
+                                        std::to_string(outputOperandIndex);
+            // We'll insert a copy of the operation, all of whose
+            // OTHER output operands are newly-created -- i.e.,
+            // there'll only be a duplicate write of ONE of that
+            // operation's output operands.
+            validate(device, message, model,
+                     [operation, badOutputNum](Model* model, ExecutionPreference*, Priority*) {
+                         Operation newOperation = model->main.operations[operation];
+                         for (size_t outputNum = 0; outputNum < newOperation.outputs.size();
+                              ++outputNum) {
+                             if (outputNum == badOutputNum) continue;
+
+                             Operand operandValue =
+                                     model->main.operands[newOperation.outputs[outputNum]];
+                             if (operandValue.lifetime == OperandLifeTime::SUBGRAPH_OUTPUT) {
+                                 operandValue.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
+                             } else {
+                                 ASSERT_EQ(operandValue.lifetime,
+                                           OperandLifeTime::TEMPORARY_VARIABLE);
+                             }
+                             newOperation.outputs[outputNum] = model->main.operands.size();
+                             model->main.operands.push_back(operandValue);
+                         }
+                         // Where do we insert the extra writer (a new
+                         // operation)?  It has to be later than all the
+                         // writers of its inputs.  The easiest thing to do
+                         // is to insert it at the end of the operation
+                         // sequence.
+                         model->main.operations.push_back(newOperation);
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE EXTRA ??? /////////////////////////
+
+// TODO: Operand::location
+
+///////////////////////// VALIDATE OPERATION OPERAND TYPE /////////////////////////
+
+static void mutateOperand(Operand* operand, OperandType type) {
+    Operand newOperand = *operand;
+    newOperand.type = type;
+    switch (type) {
+        case OperandType::FLOAT16:
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::BOOL:
+            newOperand.dimensions = {};
+            newOperand.scale = 0.0f;
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_BOOL8:
+        case OperandType::TENSOR_FLOAT16:
+        case OperandType::TENSOR_FLOAT32:
+            newOperand.dimensions = operand->dimensions.size() > 0 ? operand->dimensions
+                                                                   : std::vector<int32_t>({1});
+            newOperand.scale = 0.0f;
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_INT32:
+            newOperand.dimensions = operand->dimensions.size() > 0 ? operand->dimensions
+                                                                   : std::vector<int32_t>({1});
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_QUANT8_SYMM:
+        case OperandType::TENSOR_QUANT16_ASYMM:
+        case OperandType::TENSOR_QUANT16_SYMM:
+            newOperand.dimensions = operand->dimensions.size() > 0 ? operand->dimensions
+                                                                   : std::vector<int32_t>({1});
+            newOperand.scale = operand->scale != 0.0f ? operand->scale : 1.0f;
+            break;
+        case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL: {
+            newOperand.dimensions = operand->dimensions.size() > 0 ? operand->dimensions
+                                                                   : std::vector<int32_t>({1});
+            newOperand.scale = 0.0f;
+            newOperand.zeroPoint = 0;
+
+            SymmPerChannelQuantParams channelQuant;
+            channelQuant.channelDim = 0;
+            channelQuant.scales = std::vector<float>(
+                    operand->dimensions.size() > 0 ? static_cast<size_t>(operand->dimensions[0])
+                                                   : 0);
+            for (size_t i = 0; i < channelQuant.scales.size(); ++i) {
+                channelQuant.scales[i] = 1.0f;
+            }
+            newOperand.extraParams->set<OperandExtraParams::Tag::channelQuant>(
+                    std::move(channelQuant));
+        } break;
+        default:
+            break;
+    }
+    *operand = newOperand;
+}
+
+static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, const Model& model) {
+    if (type == model.main.operands[operand].type) {
+        return true;
+    }
+    for (const Operation& operation : model.main.operations) {
+        // Skip mutateOperationOperandTypeTest for the following operations.
+        // - LSH_PROJECTION's second argument is allowed to have any type.
+        // - ARGMIN and ARGMAX's first argument can be any of
+        // TENSOR_(FLOAT16|FLOAT32|INT32|QUANT8_ASYMM).
+        // - CAST's argument can be any of TENSOR_(FLOAT16|FLOAT32|INT32|QUANT8_ASYMM).
+        // - RANDOM_MULTINOMIAL's argument can be either TENSOR_FLOAT16 or TENSOR_FLOAT32.
+        // - DEQUANTIZE input can be any of
+        // TENSOR_(QUANT8_ASYMM|QUANT8_ASYMM_SIGNED|QUANT8_SYMM|QUANT8_SYMM_PER_CHANNEL),
+        // output can be of either TENSOR_FLOAT16 or TENSOR_FLOAT32.
+        // - QUANTIZE input can be either TENSOR_FLOAT16 or TENSOR_FLOAT32
+        // - CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
+        // - DEPTHWISE_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
+        // - GROUPED_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
+        // - TRANSPOSE_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
+        // - AXIS_ALIGNED_BBOX_TRANSFORM bounding boxes (arg 1) can be of
+        //     TENSOR_QUANT8_ASYMM or TENSOR_QUANT8_ASYMM_SIGNED.
+        // - RANK's input can have any TENSOR_* type.
+        switch (operation.type) {
+            case OperationType::LSH_PROJECTION: {
+                if (operand == operation.inputs[1]) {
+                    return true;
+                }
+            } break;
+            case OperationType::CAST:
+            case OperationType::ARGMAX:
+            case OperationType::ARGMIN: {
+                if (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32 ||
+                    type == OperandType::TENSOR_INT32 || type == OperandType::TENSOR_QUANT8_ASYMM ||
+                    type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
+                    return true;
+                }
+            } break;
+            case OperationType::QUANTIZE: {
+                if (operand == operation.inputs[0] &&
+                    (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32)) {
+                    return true;
+                }
+                if (operand == operation.outputs[0] &&
+                    (type == OperandType::TENSOR_QUANT8_ASYMM ||
+                     type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)) {
+                    return true;
+                }
+            } break;
+            case OperationType::RANDOM_MULTINOMIAL: {
+                if (operand == operation.inputs[0] &&
+                    (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32)) {
+                    return true;
+                }
+            } break;
+            case OperationType::DEQUANTIZE: {
+                if (operand == operation.inputs[0] &&
+                    (type == OperandType::TENSOR_QUANT8_ASYMM ||
+                     type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED ||
+                     type == OperandType::TENSOR_QUANT8_SYMM ||
+                     type == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL)) {
+                    return true;
+                }
+                if (operand == operation.outputs[0] &&
+                    (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32)) {
+                    return true;
+                }
+            } break;
+            case OperationType::TRANSPOSE_CONV_2D:
+            case OperationType::GROUPED_CONV_2D:
+            case OperationType::DEPTHWISE_CONV_2D:
+            case OperationType::CONV_2D: {
+                if (operand == operation.inputs[1] &&
+                    (type == OperandType::TENSOR_QUANT8_ASYMM ||
+                     type == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL)) {
+                    return true;
+                }
+            } break;
+            case OperationType::AXIS_ALIGNED_BBOX_TRANSFORM: {
+                if (operand == operation.inputs[1] &&
+                    (type == OperandType::TENSOR_QUANT8_ASYMM ||
+                     type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)) {
+                    return true;
+                }
+            } break;
+            case OperationType::RANK: {
+                if (operand == operation.inputs[0] &&
+                    (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32 ||
+                     type == OperandType::TENSOR_INT32 ||
+                     type == OperandType::TENSOR_QUANT8_ASYMM ||
+                     type == OperandType::TENSOR_QUANT16_SYMM ||
+                     type == OperandType::TENSOR_BOOL8 ||
+                     type == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL ||
+                     type == OperandType::TENSOR_QUANT16_ASYMM ||
+                     type == OperandType::TENSOR_QUANT8_SYMM ||
+                     type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)) {
+                    return true;
+                }
+            } break;
+            default:
+                break;
+        }
+    }
+    return false;
+}
+
+static void mutateOperationOperandTypeTest(const std::shared_ptr<IDevice>& device,
+                                           const Model& model) {
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        for (OperandType invalidOperandType : ndk::enum_range<OperandType>()) {
+            if (mutateOperationOperandTypeSkip(operand, invalidOperandType, model)) {
+                continue;
+            }
+            const std::string message = "mutateOperationOperandTypeTest: operand " +
+                                        std::to_string(operand) + " set to type " +
+                                        toString(invalidOperandType);
+            validate(device, message, model,
+                     [operand, invalidOperandType](Model* model, ExecutionPreference*, Priority*) {
+                         mutateOperand(&model->main.operands[operand], invalidOperandType);
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION TYPE /////////////////////////
+
+static const int32_t invalidOperationTypes[] = {
+        -1,
+        static_cast<int32_t>(*(ndk::enum_range<OperationType>().end() - 1)) + 1,
+};
+
+static void mutateOperationTypeTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        for (int32_t invalidOperationType : invalidOperationTypes) {
+            const std::string message = "mutateOperationTypeTest: operation " +
+                                        std::to_string(operation) + " set to value " +
+                                        std::to_string(invalidOperationType);
+            validate(device, message, model,
+                     [operation, invalidOperationType](Model* model, ExecutionPreference*,
+                                                       Priority*) {
+                         model->main.operations[operation].type =
+                                 static_cast<OperationType>(invalidOperationType);
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION INPUT OPERAND INDEX /////////////////////////
+
+static void mutateOperationInputOperandIndexTest(const std::shared_ptr<IDevice>& device,
+                                                 const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        const uint32_t invalidOperand = model.main.operands.size();
+        for (size_t input = 0; input < model.main.operations[operation].inputs.size(); ++input) {
+            const std::string message = "mutateOperationInputOperandIndexTest: operation " +
+                                        std::to_string(operation) + " input " +
+                                        std::to_string(input);
+            validate(device, message, model,
+                     [operation, input, invalidOperand](Model* model, ExecutionPreference*,
+                                                        Priority*) {
+                         model->main.operations[operation].inputs[input] = invalidOperand;
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION OUTPUT OPERAND INDEX /////////////////////////
+
+static void mutateOperationOutputOperandIndexTest(const std::shared_ptr<IDevice>& device,
+                                                  const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        const uint32_t invalidOperand = model.main.operands.size();
+        for (size_t output = 0; output < model.main.operations[operation].outputs.size();
+             ++output) {
+            const std::string message = "mutateOperationOutputOperandIndexTest: operation " +
+                                        std::to_string(operation) + " output " +
+                                        std::to_string(output);
+            validate(device, message, model,
+                     [operation, output, invalidOperand](Model* model, ExecutionPreference*,
+                                                         Priority*) {
+                         model->main.operations[operation].outputs[output] = invalidOperand;
+                     });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERANDS WRITTEN ///////////////////////////////////////
+
+static void mutateOperationRemoveWriteTest(const std::shared_ptr<IDevice>& device,
+                                           const Model& model,
+                                           const std::vector<uint32_t>& numberOfConsumers) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        for (size_t outputNum = 0; outputNum < model.main.operations[operation].outputs.size();
+             ++outputNum) {
+            const uint32_t outputOperandIndex = model.main.operations[operation].outputs[outputNum];
+            if (numberOfConsumers[outputOperandIndex] > 0) {
+                const std::string message = "mutateOperationRemoveWriteTest: operation " +
+                                            std::to_string(operation) + " writes to " +
+                                            std::to_string(outputOperandIndex);
+                validate(device, message, model,
+                         [operation, outputNum](Model* model, ExecutionPreference*, Priority*) {
+                             int32_t& outputOperandIndex =
+                                     model->main.operations[operation].outputs[outputNum];
+                             Operand operandValue = model->main.operands[outputOperandIndex];
+                             if (operandValue.lifetime == OperandLifeTime::SUBGRAPH_OUTPUT) {
+                                 operandValue.lifetime = OperandLifeTime::TEMPORARY_VARIABLE;
+                             } else {
+                                 ASSERT_EQ(operandValue.lifetime,
+                                           OperandLifeTime::TEMPORARY_VARIABLE);
+                             }
+                             outputOperandIndex = model->main.operands.size();
+                             model->main.operands.push_back(operandValue);
+                         });
+            }
+        }
+    }
+}
+
+///////////////////////// REMOVE OPERAND FROM EVERYTHING /////////////////////////
+
+static void removeValueAndDecrementGreaterValues(std::vector<int32_t>* vec, uint32_t value) {
+    if (vec) {
+        // remove elements matching "value"
+        vec->erase(std::remove(vec->begin(), vec->end(), value), vec->end());
+
+        // decrement elements exceeding "value"
+        std::transform(vec->begin(), vec->end(), vec->begin(),
+                       [value](uint32_t v) { return v > value ? v-- : v; });
+    }
+}
+
+static void removeOperand(Model* model, uint32_t index) {
+    model->main.operands.erase(model->main.operands.begin() + index);
+    for (Operation& operation : model->main.operations) {
+        removeValueAndDecrementGreaterValues(&operation.inputs, index);
+        removeValueAndDecrementGreaterValues(&operation.outputs, index);
+    }
+    removeValueAndDecrementGreaterValues(&model->main.inputIndexes, index);
+    removeValueAndDecrementGreaterValues(&model->main.outputIndexes, index);
+}
+
+static bool removeOperandSkip(size_t operandIndex, const Model& model,
+                              const std::vector<uint32_t>& numberOfConsumers) {
+    if (numberOfConsumers[operandIndex] == 0) {
+        // Removing an unused operand has no effect.
+        return true;
+    }
+    for (const Operation& operation : model.main.operations) {
+        // Skip removeOperandTest for the following operations.
+        // - SPLIT's outputs are not checked during prepareModel.
+        if (operation.type == OperationType::SPLIT) {
+            for (const size_t index : operation.outputs) {
+                if (index == operandIndex) {
+                    return true;
+                }
+            }
+        }
+        // BIDIRECTIONAL_SEQUENCE_LSTM and BIDIRECTIONAL_SEQUENCE_RNN can have
+        // either one, two, three or four outputs depending on their
+        // mergeOutputs parameter and if state outputs are provided.
+        // UNIDIRECTIONAL_SEQUENCE_LSTM and UNIDIRECTIONAL_SEQUENCE_RNN can have
+        // either one or three outputs depending on whether state outputs are
+        // provided.
+        if (operation.type == OperationType::UNIDIRECTIONAL_SEQUENCE_LSTM ||
+            operation.type == OperationType::UNIDIRECTIONAL_SEQUENCE_RNN ||
+            operation.type == OperationType::BIDIRECTIONAL_SEQUENCE_LSTM ||
+            operation.type == OperationType::BIDIRECTIONAL_SEQUENCE_RNN) {
+            for (const size_t index : operation.outputs) {
+                if (index == operandIndex) {
+                    return true;
+                }
+            }
+        }
+    }
+    return false;
+}
+
+static void removeOperandTest(const std::shared_ptr<IDevice>& device, const Model& model,
+                              const std::vector<uint32_t>& numberOfConsumers) {
+    for (size_t operand = 0; operand < model.main.operands.size(); ++operand) {
+        if (removeOperandSkip(operand, model, numberOfConsumers)) {
+            continue;
+        }
+        const std::string message = "removeOperandTest: operand " + std::to_string(operand);
+        validate(device, message, model, [operand](Model* model, ExecutionPreference*, Priority*) {
+            removeOperand(model, operand);
+        });
+    }
+}
+
+///////////////////////// REMOVE OPERATION /////////////////////////
+
+static void removeOperation(Model* model, uint32_t index) {
+    auto& operations = model->main.operations;
+    operations.erase(operations.begin() + index);
+}
+
+static void removeOperationTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        const std::string message = "removeOperationTest: operation " + std::to_string(operation);
+        validate(device, message, model,
+                 [operation](Model* model, ExecutionPreference*, Priority*) {
+                     removeOperation(model, operation);
+                 });
+    }
+}
+
+///////////////////////// REMOVE OPERATION INPUT /////////////////////////
+
+static bool removeOperationInputSkip(const Operation& op, size_t input) {
+    // Skip removeOperationInputTest for the following operations.
+    // - CONCATENATION has at least 2 inputs, with the last element being INT32.
+    // - CONV_2D, DEPTHWISE_CONV_2D, MAX_POOL_2D, AVERAGE_POOL_2D, L2_POOL_2D, RESIZE_BILINEAR,
+    //   SPACE_TO_DEPTH, SPACE_TO_DEPTH, SPACE_TO_BATCH_ND, BATCH_TO_SPACE_ND can have an optional
+    //   layout parameter.
+    //   RESIZE_BILINEAR and RESIZE_NEAREST_NEIGHBOR can have optional
+    //   align_corners and half_pixel_centers parameters.
+    // - L2_NORMALIZATION, LOCAL_RESPONSE_NORMALIZATION, SOFTMAX can have an optional axis
+    //   parameter.
+    switch (op.type) {
+        case OperationType::CONCATENATION: {
+            if (op.inputs.size() > 2 && input != op.inputs.size() - 1) {
+                return true;
+            }
+        } break;
+        case OperationType::DEPTHWISE_CONV_2D: {
+            if ((op.inputs.size() == 12 && input == 11) || (op.inputs.size() == 9 && input == 8)) {
+                return true;
+            }
+        } break;
+        case OperationType::CONV_2D:
+        case OperationType::AVERAGE_POOL_2D:
+        case OperationType::MAX_POOL_2D:
+        case OperationType::L2_POOL_2D: {
+            if ((op.inputs.size() == 11 && input == 10) || (op.inputs.size() == 8 && input == 7)) {
+                return true;
+            }
+        } break;
+        case OperationType::RESIZE_BILINEAR: {
+            if (op.inputs.size() >= 4 && input >= 3) {
+                return true;
+            }
+        } break;
+        case OperationType::RESIZE_NEAREST_NEIGHBOR: {
+            if (op.inputs.size() >= 5 && input >= 3) {
+                return true;
+            }
+        } break;
+        case OperationType::SPACE_TO_DEPTH:
+        case OperationType::DEPTH_TO_SPACE:
+        case OperationType::BATCH_TO_SPACE_ND: {
+            if (op.inputs.size() == 3 && input == 2) {
+                return true;
+            }
+        } break;
+        case OperationType::SPACE_TO_BATCH_ND: {
+            if (op.inputs.size() == 4 && input == 3) {
+                return true;
+            }
+        } break;
+        case OperationType::L2_NORMALIZATION: {
+            if (op.inputs.size() == 2 && input == 1) {
+                return true;
+            }
+        } break;
+        case OperationType::LOCAL_RESPONSE_NORMALIZATION: {
+            if (op.inputs.size() == 6 && input == 5) {
+                return true;
+            }
+        } break;
+        case OperationType::SOFTMAX: {
+            if (op.inputs.size() == 3 && input == 2) {
+                return true;
+            }
+        } break;
+        default:
+            break;
+    }
+    return false;
+}
+
+static void removeOperationInputTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        for (size_t input = 0; input < model.main.operations[operation].inputs.size(); ++input) {
+            const Operation& op = model.main.operations[operation];
+            if (removeOperationInputSkip(op, input)) {
+                continue;
+            }
+            const std::string message = "removeOperationInputTest: operation " +
+                                        std::to_string(operation) + ", input " +
+                                        std::to_string(input);
+            validate(device, message, model,
+                     [operation, input](Model* model, ExecutionPreference*, Priority*) {
+                         auto& inputs = model->main.operations[operation].inputs;
+                         inputs.erase(inputs.begin() + input);
+                     });
+        }
+    }
+}
+
+///////////////////////// REMOVE OPERATION OUTPUT /////////////////////////
+
+static void removeOperationOutputTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        for (size_t output = 0; output < model.main.operations[operation].outputs.size();
+             ++output) {
+            const std::string message = "removeOperationOutputTest: operation " +
+                                        std::to_string(operation) + ", output " +
+                                        std::to_string(output);
+            validate(device, message, model,
+                     [operation, output](Model* model, ExecutionPreference*, Priority*) {
+                         auto& outputs = model->main.operations[operation].outputs;
+                         outputs.erase(outputs.begin() + output);
+                     });
+        }
+    }
+}
+
+///////////////////////// MODEL VALIDATION /////////////////////////
+
+// TODO: remove model input
+// TODO: remove model output
+// TODO: add unused operation
+
+///////////////////////// ADD OPERATION INPUT /////////////////////////
+
+static bool addOperationInputSkip(const Operation& op) {
+    // Skip addOperationInputTest for the following operations.
+    // - L2_NORMALIZATION, LOCAL_RESPONSE_NORMALIZATION, SOFTMAX can have an optional INT32 axis
+    //   parameter.
+    if ((op.type == OperationType::L2_NORMALIZATION && op.inputs.size() == 1) ||
+        (op.type == OperationType::LOCAL_RESPONSE_NORMALIZATION && op.inputs.size() == 5) ||
+        (op.type == OperationType::SOFTMAX && op.inputs.size() == 2) ||
+        (op.type == OperationType::RESIZE_BILINEAR && op.inputs.size() < 6) ||
+        (op.type == OperationType::RESIZE_NEAREST_NEIGHBOR && op.inputs.size() < 6)) {
+        return true;
+    }
+    return false;
+}
+
+static void addOperationInputTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        if (addOperationInputSkip(model.main.operations[operation])) {
+            continue;
+        }
+        const std::string message = "addOperationInputTest: operation " + std::to_string(operation);
+        validate(device, message, model,
+                 [operation](Model* model, ExecutionPreference*, Priority*) {
+                     uint32_t index = addOperand(model, OperandLifeTime::SUBGRAPH_INPUT);
+                     model->main.operations[operation].inputs.push_back(index);
+                     model->main.inputIndexes.push_back(index);
+                 });
+    }
+}
+
+///////////////////////// ADD OPERATION OUTPUT /////////////////////////
+
+static void addOperationOutputTest(const std::shared_ptr<IDevice>& device, const Model& model) {
+    for (size_t operation = 0; operation < model.main.operations.size(); ++operation) {
+        const std::string message =
+                "addOperationOutputTest: operation " + std::to_string(operation);
+        validate(device, message, model,
+                 [operation](Model* model, ExecutionPreference*, Priority*) {
+                     uint32_t index = addOperand(model, OperandLifeTime::SUBGRAPH_OUTPUT);
+                     model->main.operations[operation].outputs.push_back(index);
+                     model->main.outputIndexes.push_back(index);
+                 });
+    }
+}
+
+///////////////////////// VALIDATE EXECUTION PREFERENCE /////////////////////////
+
+static const int32_t invalidExecutionPreferences[] = {
+        static_cast<int32_t>(ExecutionPreference::LOW_POWER) - 1,        // lower bound
+        static_cast<int32_t>(ExecutionPreference::SUSTAINED_SPEED) + 1,  // upper bound
+};
+
+static void mutateExecutionPreferenceTest(const std::shared_ptr<IDevice>& device,
+                                          const Model& model) {
+    for (int32_t invalidPreference : invalidExecutionPreferences) {
+        const std::string message =
+                "mutateExecutionPreferenceTest: preference " + std::to_string(invalidPreference);
+        validate(device, message, model,
+                 [invalidPreference](Model*, ExecutionPreference* preference, Priority*) {
+                     *preference = static_cast<ExecutionPreference>(invalidPreference);
+                 });
+    }
+}
+
+///////////////////////// VALIDATE PRIORITY /////////////////////////
+
+static const int32_t invalidPriorities[] = {
+        static_cast<int32_t>(Priority::LOW) - 1,   // lower bound
+        static_cast<int32_t>(Priority::HIGH) + 1,  // upper bound
+};
+
+static void mutateExecutionPriorityTest(const std::shared_ptr<IDevice>& device,
+                                        const Model& model) {
+    for (int32_t invalidPriority : invalidPriorities) {
+        const std::string message =
+                "mutatePriorityTest: priority " + std::to_string(invalidPriority);
+        validate(device, message, model,
+                 [invalidPriority](Model*, ExecutionPreference*, Priority* priority) {
+                     *priority = static_cast<Priority>(invalidPriority);
+                 });
+    }
+}
+
+////////////////////////// ENTRY POINT //////////////////////////////
+
+void validateModel(const std::shared_ptr<IDevice>& device, const Model& model) {
+    const auto numberOfConsumers = nn::countNumberOfConsumers(
+            model.main.operands.size(), nn::convert(model.main.operations).value());
+    mutateExecutionOrderTest(device, model, numberOfConsumers);
+    mutateOperandTypeTest(device, model);
+    mutateOperandRankTest(device, model);
+    mutateOperandScaleTest(device, model);
+    mutateOperandZeroPointTest(device, model);
+    mutateOperandLifeTimeTest(device, model);
+    mutateOperandInputOutputTest(device, model);
+    mutateOperandAddWriterTest(device, model);
+    mutateOperationOperandTypeTest(device, model);
+    mutateOperationTypeTest(device, model);
+    mutateOperationInputOperandIndexTest(device, model);
+    mutateOperationOutputOperandIndexTest(device, model);
+    mutateOperationRemoveWriteTest(device, model, numberOfConsumers);
+    removeOperandTest(device, model, numberOfConsumers);
+    removeOperationTest(device, model);
+    removeOperationInputTest(device, model);
+    removeOperationOutputTest(device, model);
+    addOperationInputTest(device, model);
+    addOperationOutputTest(device, model);
+    mutateExecutionPreferenceTest(device, model);
+    mutateExecutionPriorityTest(device, model);
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/ValidateRequest.cpp b/neuralnetworks/aidl/vts/functional/ValidateRequest.cpp
new file mode 100644
index 0000000..db8f429
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/ValidateRequest.cpp
@@ -0,0 +1,126 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_aidl_hal_test"
+
+#include <android/binder_auto_utils.h>
+
+#include <chrono>
+
+#include <TestHarness.h>
+#include <nnapi/hal/aidl/Utils.h>
+
+#include "Callbacks.h"
+#include "GeneratedTestHarness.h"
+#include "Utils.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using ExecutionMutation = std::function<void(Request*)>;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+// Primary validation function. This function will take a valid request, apply a
+// mutation to it to invalidate the request, then pass it to interface calls
+// that use the request.
+static void validate(const std::shared_ptr<IPreparedModel>& preparedModel,
+                     const std::string& message, const Request& originalRequest,
+                     const ExecutionMutation& mutate) {
+    Request request = utils::clone(originalRequest).value();
+    mutate(&request);
+
+    // We'd like to test both with timing requested and without timing
+    // requested. Rather than running each test both ways, we'll decide whether
+    // to request timing by hashing the message. We do not use std::hash because
+    // it is not guaranteed stable across executions.
+    char hash = 0;
+    for (auto c : message) {
+        hash ^= c;
+    };
+    bool measure = (hash & 1);
+
+    // synchronous
+    {
+        SCOPED_TRACE(message + " [executeSynchronously]");
+        ExecutionResult executionResult;
+        const auto executeStatus = preparedModel->executeSynchronously(
+                request, measure, kNoDeadline, kOmittedTimeoutDuration, &executionResult);
+        ASSERT_FALSE(executeStatus.isOk());
+        ASSERT_EQ(executeStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
+        ASSERT_EQ(static_cast<ErrorStatus>(executeStatus.getServiceSpecificError()),
+                  ErrorStatus::INVALID_ARGUMENT);
+    }
+
+    // fenced
+    {
+        SCOPED_TRACE(message + " [executeFenced]");
+        ndk::ScopedFileDescriptor syncFence;
+        std::shared_ptr<IFencedExecutionCallback> callback;
+        const auto executeStatus = preparedModel->executeFenced(request, {}, false, kNoDeadline,
+                                                                kOmittedTimeoutDuration,
+                                                                kNoDuration, &syncFence, &callback);
+        ASSERT_FALSE(executeStatus.isOk());
+        ASSERT_EQ(executeStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
+        ASSERT_EQ(static_cast<ErrorStatus>(executeStatus.getServiceSpecificError()),
+                  ErrorStatus::INVALID_ARGUMENT);
+    }
+}
+
+///////////////////////// REMOVE INPUT ////////////////////////////////////
+
+static void removeInputTest(const std::shared_ptr<IPreparedModel>& preparedModel,
+                            const Request& request) {
+    for (size_t input = 0; input < request.inputs.size(); ++input) {
+        const std::string message = "removeInput: removed input " + std::to_string(input);
+        validate(preparedModel, message, request, [input](Request* request) {
+            request->inputs.erase(request->inputs.begin() + input);
+        });
+    }
+}
+
+///////////////////////// REMOVE OUTPUT ////////////////////////////////////
+
+static void removeOutputTest(const std::shared_ptr<IPreparedModel>& preparedModel,
+                             const Request& request) {
+    for (size_t output = 0; output < request.outputs.size(); ++output) {
+        const std::string message = "removeOutput: removed Output " + std::to_string(output);
+        validate(preparedModel, message, request, [output](Request* request) {
+            request->outputs.erase(request->outputs.begin() + output);
+        });
+    }
+}
+
+///////////////////////////// ENTRY POINT //////////////////////////////////
+
+void validateRequest(const std::shared_ptr<IPreparedModel>& preparedModel, const Request& request) {
+    removeInputTest(preparedModel, request);
+    removeOutputTest(preparedModel, request);
+}
+
+void validateRequestFailure(const std::shared_ptr<IPreparedModel>& preparedModel,
+                            const Request& request) {
+    SCOPED_TRACE("Expecting request to fail [executeSynchronously]");
+    ExecutionResult executionResult;
+    const auto executeStatus = preparedModel->executeSynchronously(
+            request, false, kNoDeadline, kOmittedTimeoutDuration, &executionResult);
+
+    ASSERT_FALSE(executeStatus.isOk());
+    ASSERT_EQ(executeStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
+    ASSERT_NE(static_cast<ErrorStatus>(executeStatus.getServiceSpecificError()), ErrorStatus::NONE);
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/VtsHalNeuralnetworks.cpp b/neuralnetworks/aidl/vts/functional/VtsHalNeuralnetworks.cpp
new file mode 100644
index 0000000..2d91b8e
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/VtsHalNeuralnetworks.cpp
@@ -0,0 +1,194 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_aidl_hal_test"
+#include "VtsHalNeuralnetworks.h"
+
+#include <android-base/logging.h>
+#include <android/binder_auto_utils.h>
+#include <android/binder_interface_utils.h>
+#include <android/binder_manager.h>
+#include <android/binder_status.h>
+#include <gtest/gtest.h>
+#include <memory>
+#include <string>
+#include <utility>
+
+#include <TestHarness.h>
+#include <aidl/Vintf.h>
+#include <nnapi/hal/aidl/Conversions.h>
+
+#include "Callbacks.h"
+#include "GeneratedTestHarness.h"
+#include "Utils.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using implementation::PreparedModelCallback;
+
+// internal helper function
+void createPreparedModel(const std::shared_ptr<IDevice>& device, const Model& model,
+                         std::shared_ptr<IPreparedModel>* preparedModel, bool reportSkipping) {
+    ASSERT_NE(nullptr, preparedModel);
+    *preparedModel = nullptr;
+
+    // see if service can handle model
+    std::vector<bool> supportedOperations;
+    const auto supportedCallStatus = device->getSupportedOperations(model, &supportedOperations);
+    ASSERT_TRUE(supportedCallStatus.isOk());
+    ASSERT_NE(0ul, supportedOperations.size());
+    const bool fullySupportsModel = std::all_of(
+            supportedOperations.begin(), supportedOperations.end(), [](bool v) { return v; });
+
+    // launch prepare model
+    const std::shared_ptr<PreparedModelCallback> preparedModelCallback =
+            ndk::SharedRefBase::make<PreparedModelCallback>();
+    const auto prepareLaunchStatus =
+            device->prepareModel(model, ExecutionPreference::FAST_SINGLE_ANSWER, kDefaultPriority,
+                                 kNoDeadline, {}, {}, kEmptyCacheToken, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk()) << prepareLaunchStatus.getDescription();
+
+    // retrieve prepared model
+    preparedModelCallback->wait();
+    const ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    *preparedModel = preparedModelCallback->getPreparedModel();
+
+    // The getSupportedOperations call returns a list of operations that are guaranteed not to fail
+    // if prepareModel is called, and 'fullySupportsModel' is true i.f.f. the entire model is
+    // guaranteed. If a driver has any doubt that it can prepare an operation, it must return false.
+    // So here, if a driver isn't sure if it can support an operation, but reports that it
+    // successfully prepared the model, the test can continue.
+    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
+        ASSERT_EQ(nullptr, preparedModel->get());
+        if (!reportSkipping) {
+            return;
+        }
+        LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot prepare "
+                     "model that it does not support.";
+        std::cout << "[          ]   Early termination of test because vendor service cannot "
+                     "prepare model that it does not support."
+                  << std::endl;
+        GTEST_SKIP();
+    }
+
+    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+    ASSERT_NE(nullptr, preparedModel->get());
+}
+
+void NeuralNetworksAidlTest::SetUp() {
+    testing::TestWithParam<NeuralNetworksAidlTestParam>::SetUp();
+    ASSERT_NE(kDevice, nullptr);
+}
+
+static NamedDevice makeNamedDevice(const std::string& name) {
+    ndk::SpAIBinder binder(AServiceManager_getService(name.c_str()));
+    return {name, IDevice::fromBinder(binder)};
+}
+
+static std::vector<NamedDevice> getNamedDevicesImpl() {
+    // Retrieves the name of all service instances that implement IDevice,
+    // including any Lazy HAL instances.
+    const std::vector<std::string> names = ::android::getAidlHalInstanceNames(IDevice::descriptor);
+
+    // Get a handle to each device and pair it with its name.
+    std::vector<NamedDevice> namedDevices;
+    namedDevices.reserve(names.size());
+    std::transform(names.begin(), names.end(), std::back_inserter(namedDevices), makeNamedDevice);
+    return namedDevices;
+}
+
+const std::vector<NamedDevice>& getNamedDevices() {
+    const static std::vector<NamedDevice> devices = getNamedDevicesImpl();
+    return devices;
+}
+
+std::string printNeuralNetworksAidlTest(
+        const testing::TestParamInfo<NeuralNetworksAidlTestParam>& info) {
+    return gtestCompliantName(getName(info.param));
+}
+
+INSTANTIATE_DEVICE_TEST(NeuralNetworksAidlTest);
+
+// Forward declaration from ValidateModel.cpp
+void validateModel(const std::shared_ptr<IDevice>& device, const Model& model);
+// Forward declaration from ValidateRequest.cpp
+void validateRequest(const std::shared_ptr<IPreparedModel>& preparedModel, const Request& request);
+// Forward declaration from ValidateRequest.cpp
+void validateRequestFailure(const std::shared_ptr<IPreparedModel>& preparedModel,
+                            const Request& request);
+
+void validateEverything(const std::shared_ptr<IDevice>& device, const Model& model,
+                        const Request& request) {
+    validateModel(device, model);
+
+    // Create IPreparedModel.
+    std::shared_ptr<IPreparedModel> preparedModel;
+    createPreparedModel(device, model, &preparedModel);
+    if (preparedModel == nullptr) return;
+
+    validateRequest(preparedModel, request);
+    // HIDL also had test that expected executeFenced to fail on received null fd (-1). This is not
+    // allowed in AIDL and will result in EX_TRANSACTION_FAILED.
+}
+
+void validateFailure(const std::shared_ptr<IDevice>& device, const Model& model,
+                     const Request& request) {
+    // TODO: Should this always succeed?
+    //       What if the invalid input is part of the model (i.e., a parameter).
+    validateModel(device, model);
+
+    // Create IPreparedModel.
+    std::shared_ptr<IPreparedModel> preparedModel;
+    createPreparedModel(device, model, &preparedModel);
+    if (preparedModel == nullptr) return;
+
+    validateRequestFailure(preparedModel, request);
+}
+
+TEST_P(ValidationTest, Test) {
+    const Model model = createModel(kTestModel);
+    ExecutionContext context;
+    const Request request = context.createRequest(kTestModel);
+    if (kTestModel.expectFailure) {
+        validateFailure(kDevice, model, request);
+    } else {
+        validateEverything(kDevice, model, request);
+    }
+}
+
+INSTANTIATE_GENERATED_TEST(ValidationTest, [](const std::string& testName) {
+    // Skip validation for the "inputs_as_internal" and "all_tensors_as_inputs"
+    // generated tests.
+    return testName.find("inputs_as_internal") == std::string::npos &&
+           testName.find("all_tensors_as_inputs") == std::string::npos;
+});
+
+std::string toString(Executor executor) {
+    switch (executor) {
+        case Executor::ASYNC:
+            return "ASYNC";
+        case Executor::SYNC:
+            return "SYNC";
+        case Executor::BURST:
+            return "BURST";
+        case Executor::FENCED:
+            return "FENCED";
+        default:
+            CHECK(false);
+    }
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
diff --git a/neuralnetworks/aidl/vts/functional/VtsHalNeuralnetworks.h b/neuralnetworks/aidl/vts/functional/VtsHalNeuralnetworks.h
new file mode 100644
index 0000000..9b81ee1
--- /dev/null
+++ b/neuralnetworks/aidl/vts/functional/VtsHalNeuralnetworks.h
@@ -0,0 +1,61 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_NEURALNETWORKS_AIDL_VTS_HAL_NEURALNETWORKS_H
+#define ANDROID_HARDWARE_NEURALNETWORKS_AIDL_VTS_HAL_NEURALNETWORKS_H
+
+#include <gtest/gtest.h>
+#include <vector>
+
+#include <aidl/android/hardware/neuralnetworks/IDevice.h>
+
+#include "Callbacks.h"
+#include "Utils.h"
+
+namespace aidl::android::hardware::neuralnetworks::vts::functional {
+
+using NamedDevice = Named<std::shared_ptr<IDevice>>;
+using NeuralNetworksAidlTestParam = NamedDevice;
+
+class NeuralNetworksAidlTest : public testing::TestWithParam<NeuralNetworksAidlTestParam> {
+  protected:
+    void SetUp() override;
+    const std::shared_ptr<IDevice> kDevice = getData(GetParam());
+};
+
+const std::vector<NamedDevice>& getNamedDevices();
+
+std::string printNeuralNetworksAidlTest(
+        const testing::TestParamInfo<NeuralNetworksAidlTestParam>& info);
+
+#define INSTANTIATE_DEVICE_TEST(TestSuite)                                                 \
+    GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(TestSuite);                              \
+    INSTANTIATE_TEST_SUITE_P(PerInstance, TestSuite, testing::ValuesIn(getNamedDevices()), \
+                             printNeuralNetworksAidlTest)
+
+// Create an IPreparedModel object. If the model cannot be prepared,
+// "preparedModel" will be nullptr instead.
+void createPreparedModel(const std::shared_ptr<IDevice>& device, const Model& model,
+                         std::shared_ptr<IPreparedModel>* preparedModel,
+                         bool reportSkipping = true);
+
+enum class Executor { ASYNC, SYNC, BURST, FENCED };
+
+std::string toString(Executor executor);
+
+}  // namespace aidl::android::hardware::neuralnetworks::vts::functional
+
+#endif  // ANDROID_HARDWARE_NEURALNETWORKS_AIDL_VTS_HAL_NEURALNETWORKS_H
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
index b3989e5..fef9d9c 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
@@ -24,15 +24,21 @@
 #include <functional>
 #include <vector>
 
-// Shorthand
+// Shorthands
 namespace android::hardware::neuralnetworks {
 namespace hal = ::android::hardware::neuralnetworks;
 }  // namespace android::hardware::neuralnetworks
 
-// Shorthand
+// Shorthands
+namespace aidl::android::hardware::neuralnetworks {
+namespace aidl_hal = ::aidl::android::hardware::neuralnetworks;
+}  // namespace aidl::android::hardware::neuralnetworks
+
+// Shorthands
 namespace android::nn {
 namespace hal = ::android::hardware::neuralnetworks;
-}
+namespace aidl_hal = ::aidl::android::hardware::neuralnetworks;
+}  // namespace android::nn
 
 namespace android::hardware::neuralnetworks::utils {
 
diff --git a/oemlock/aidl/default/Android.bp b/oemlock/aidl/default/Android.bp
index b9872d7..464b0a3 100644
--- a/oemlock/aidl/default/Android.bp
+++ b/oemlock/aidl/default/Android.bp
@@ -25,7 +25,7 @@
         "OemLock.cpp",
     ],
     shared_libs: [
-        "android.hardware.oemlock-ndk_platform",
+        "android.hardware.oemlock-V1-ndk_platform",
         "libbase",
         "libbinder_ndk",
     ],
diff --git a/oemlock/aidl/vts/Android.bp b/oemlock/aidl/vts/Android.bp
index a13dbe2..18b53c2 100644
--- a/oemlock/aidl/vts/Android.bp
+++ b/oemlock/aidl/vts/Android.bp
@@ -25,7 +25,7 @@
         "libbinder_ndk",
         "libbase",
     ],
-    static_libs: ["android.hardware.oemlock-ndk_platform"],
+    static_libs: ["android.hardware.oemlock-V1-ndk_platform"],
     test_suites: [
         "general-tests",
         "vts",
diff --git a/power/aidl/default/Android.bp b/power/aidl/default/Android.bp
index 07cd368..de04bcd 100644
--- a/power/aidl/default/Android.bp
+++ b/power/aidl/default/Android.bp
@@ -21,7 +21,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.power-ndk_platform",
+        "android.hardware.power-V1-ndk_platform",
     ],
     srcs: [
         "main.cpp",
diff --git a/power/aidl/vts/Android.bp b/power/aidl/vts/Android.bp
index 28b08c7..008073b 100644
--- a/power/aidl/vts/Android.bp
+++ b/power/aidl/vts/Android.bp
@@ -23,7 +23,7 @@
         "libbinder",
     ],
     static_libs: [
-        "android.hardware.power-cpp",
+        "android.hardware.power-V1-cpp",
     ],
     test_suites: [
         "vts",
diff --git a/power/stats/aidl/aidl_api/android.hardware.power.stats/current/android/hardware/power/stats/IPowerStats.aidl b/power/stats/aidl/aidl_api/android.hardware.power.stats/current/android/hardware/power/stats/IPowerStats.aidl
index 0b6387e..5b11695 100644
--- a/power/stats/aidl/aidl_api/android.hardware.power.stats/current/android/hardware/power/stats/IPowerStats.aidl
+++ b/power/stats/aidl/aidl_api/android.hardware.power.stats/current/android/hardware/power/stats/IPowerStats.aidl
@@ -38,5 +38,5 @@
   android.hardware.power.stats.EnergyConsumer[] getEnergyConsumerInfo();
   android.hardware.power.stats.EnergyConsumerResult[] getEnergyConsumed(in int[] energyConsumerIds);
   android.hardware.power.stats.Channel[] getEnergyMeterInfo();
-  android.hardware.power.stats.EnergyMeasurement[] readEnergyMeters(in int[] channelIds);
+  android.hardware.power.stats.EnergyMeasurement[] readEnergyMeter(in int[] channelIds);
 }
diff --git a/power/stats/aidl/android/hardware/power/stats/IPowerStats.aidl b/power/stats/aidl/android/hardware/power/stats/IPowerStats.aidl
index 24a8f67..7a95f74 100644
--- a/power/stats/aidl/android/hardware/power/stats/IPowerStats.aidl
+++ b/power/stats/aidl/android/hardware/power/stats/IPowerStats.aidl
@@ -107,5 +107,5 @@
      *  - STATUS_BAD_VALUE if an invalid channelId is provided
      *  - STATUS_FAILED_TRANSACTION if any EnergyMeasurement fails to be returned
      */
-    EnergyMeasurement[] readEnergyMeters(in int[] channelIds);
-}
\ No newline at end of file
+    EnergyMeasurement[] readEnergyMeter(in int[] channelIds);
+}
diff --git a/power/stats/aidl/default/Android.bp b/power/stats/aidl/default/Android.bp
index 40b9447..595ecd6 100644
--- a/power/stats/aidl/default/Android.bp
+++ b/power/stats/aidl/default/Android.bp
@@ -21,7 +21,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.power.stats-ndk_platform",
+        "android.hardware.power.stats-V1-ndk_platform",
     ],
     srcs: [
         "main.cpp",
diff --git a/power/stats/aidl/default/PowerStats.cpp b/power/stats/aidl/default/PowerStats.cpp
index 6cb0a73..0ffbd08 100644
--- a/power/stats/aidl/default/PowerStats.cpp
+++ b/power/stats/aidl/default/PowerStats.cpp
@@ -53,8 +53,8 @@
     return ndk::ScopedAStatus::ok();
 }
 
-ndk::ScopedAStatus PowerStats::readEnergyMeters(const std::vector<int32_t>& in_channelIds,
-                                                std::vector<EnergyMeasurement>* _aidl_return) {
+ndk::ScopedAStatus PowerStats::readEnergyMeter(const std::vector<int32_t>& in_channelIds,
+                                               std::vector<EnergyMeasurement>* _aidl_return) {
     (void)in_channelIds;
     (void)_aidl_return;
     return ndk::ScopedAStatus::ok();
diff --git a/power/stats/aidl/default/PowerStats.h b/power/stats/aidl/default/PowerStats.h
index 04c2d54..cb98e55 100644
--- a/power/stats/aidl/default/PowerStats.h
+++ b/power/stats/aidl/default/PowerStats.h
@@ -35,8 +35,8 @@
     ndk::ScopedAStatus getEnergyConsumed(const std::vector<int32_t>& in_energyConsumerIds,
                                          std::vector<EnergyConsumerResult>* _aidl_return) override;
     ndk::ScopedAStatus getEnergyMeterInfo(std::vector<Channel>* _aidl_return) override;
-    ndk::ScopedAStatus readEnergyMeters(const std::vector<int32_t>& in_channelIds,
-                                        std::vector<EnergyMeasurement>* _aidl_return) override;
+    ndk::ScopedAStatus readEnergyMeter(const std::vector<int32_t>& in_channelIds,
+                                       std::vector<EnergyMeasurement>* _aidl_return) override;
 };
 
 }  // namespace stats
diff --git a/power/stats/aidl/vts/Android.bp b/power/stats/aidl/vts/Android.bp
index 930709f..31fb990 100644
--- a/power/stats/aidl/vts/Android.bp
+++ b/power/stats/aidl/vts/Android.bp
@@ -23,7 +23,7 @@
         "libbinder_ndk",
     ],
     static_libs: [
-        "android.hardware.power.stats-ndk_platform",
+        "android.hardware.power.stats-V1-ndk_platform",
     ],
     test_suites: [
         "general-tests",
diff --git a/power/stats/aidl/vts/VtsHalPowerStatsTargetTest.cpp b/power/stats/aidl/vts/VtsHalPowerStatsTargetTest.cpp
index f293773..bed3fdf 100644
--- a/power/stats/aidl/vts/VtsHalPowerStatsTargetTest.cpp
+++ b/power/stats/aidl/vts/VtsHalPowerStatsTargetTest.cpp
@@ -21,10 +21,21 @@
 #include <android/binder_manager.h>
 #include <android/binder_process.h>
 
+#include <algorithm>
+#include <iterator>
+#include <random>
+#include <unordered_map>
+
 using aidl::android::hardware::power::stats::Channel;
+using aidl::android::hardware::power::stats::EnergyConsumer;
+using aidl::android::hardware::power::stats::EnergyConsumerAttribution;
+using aidl::android::hardware::power::stats::EnergyConsumerResult;
+using aidl::android::hardware::power::stats::EnergyConsumerType;
 using aidl::android::hardware::power::stats::EnergyMeasurement;
 using aidl::android::hardware::power::stats::IPowerStats;
 using aidl::android::hardware::power::stats::PowerEntity;
+using aidl::android::hardware::power::stats::State;
+using aidl::android::hardware::power::stats::StateResidency;
 using aidl::android::hardware::power::stats::StateResidencyResult;
 
 using ndk::SpAIBinder;
@@ -37,12 +48,61 @@
         ASSERT_NE(nullptr, powerstats.get());
     }
 
+    template <typename T>
+    std::vector<T> getRandomSubset(std::vector<T> const& collection);
+
+    void testNameValid(const std::string& name);
+
+    template <typename T, typename S>
+    void testUnique(std::vector<T> const& collection, S T::*field);
+
+    template <typename T, typename S, typename R>
+    void testMatching(std::vector<T> const& c1, R T::*f1, std::vector<S> const& c2, R S::*f2);
+
     std::shared_ptr<IPowerStats> powerstats;
 };
 
-TEST_P(PowerStatsAidl, TestReadEnergyMeter) {
-    std::vector<EnergyMeasurement> data;
-    ASSERT_TRUE(powerstats->readEnergyMeters({}, &data).isOk());
+// Returns a random subset from a collection
+template <typename T>
+std::vector<T> PowerStatsAidl::getRandomSubset(std::vector<T> const& collection) {
+    if (collection.empty()) {
+        return {};
+    }
+
+    std::vector<T> selected;
+    std::sample(collection.begin(), collection.end(), std::back_inserter(selected),
+                rand() % collection.size() + 1, std::mt19937{std::random_device{}()});
+
+    return selected;
+}
+
+// Tests whether a name is valid
+void PowerStatsAidl::testNameValid(const std::string& name) {
+    EXPECT_NE(name, "");
+}
+
+// Tests whether the fields in a given collection are unique
+template <typename T, typename S>
+void PowerStatsAidl::testUnique(std::vector<T> const& collection, S T::*field) {
+    std::set<S> cSet;
+    for (auto const& elem : collection) {
+        EXPECT_TRUE(cSet.insert(elem.*field).second);
+    }
+}
+
+template <typename T, typename S, typename R>
+void PowerStatsAidl::testMatching(std::vector<T> const& c1, R T::*f1, std::vector<S> const& c2,
+                                  R S::*f2) {
+    std::set<R> c1fields, c2fields;
+    for (auto elem : c1) {
+        c1fields.insert(elem.*f1);
+    }
+
+    for (auto elem : c2) {
+        c2fields.insert(elem.*f2);
+    }
+
+    EXPECT_EQ(c1fields, c2fields);
 }
 
 // Each PowerEntity must have a valid name
@@ -51,80 +111,304 @@
     ASSERT_TRUE(powerstats->getPowerEntityInfo(&infos).isOk());
 
     for (auto info : infos) {
-        EXPECT_NE(info.name, "");
+        testNameValid(info.name);
     }
 }
 
 // Each power entity must have a unique name
 TEST_P(PowerStatsAidl, ValidatePowerEntityUniqueNames) {
-    std::vector<PowerEntity> infos;
-    ASSERT_TRUE(powerstats->getPowerEntityInfo(&infos).isOk());
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
 
-    std::set<std::string> names;
-    for (auto info : infos) {
-        EXPECT_TRUE(names.insert(info.name).second);
-    }
+    testUnique(entities, &PowerEntity::name);
 }
 
 // Each PowerEntity must have a unique ID
 TEST_P(PowerStatsAidl, ValidatePowerEntityIds) {
-    std::vector<PowerEntity> infos;
-    ASSERT_TRUE(powerstats->getPowerEntityInfo(&infos).isOk());
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
 
-    std::set<int32_t> ids;
-    for (auto info : infos) {
-        EXPECT_TRUE(ids.insert(info.id).second);
+    testUnique(entities, &PowerEntity::id);
+}
+
+// Each power entity must have at least one state
+TEST_P(PowerStatsAidl, ValidateStateSize) {
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
+
+    for (auto entity : entities) {
+        EXPECT_GT(entity.states.size(), 0);
     }
 }
 
 // Each state must have a valid name
 TEST_P(PowerStatsAidl, ValidateStateNames) {
-    std::vector<PowerEntity> infos;
-    ASSERT_TRUE(powerstats->getPowerEntityInfo(&infos).isOk());
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
 
-    for (auto info : infos) {
-        for (auto state : info.states) {
-            EXPECT_NE(state.name, "");
+    for (auto entity : entities) {
+        for (auto state : entity.states) {
+            testNameValid(state.name);
         }
     }
 }
 
 // Each state must have a name that is unique to the given PowerEntity
 TEST_P(PowerStatsAidl, ValidateStateUniqueNames) {
-    std::vector<PowerEntity> infos;
-    ASSERT_TRUE(powerstats->getPowerEntityInfo(&infos).isOk());
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
 
-    for (auto info : infos) {
-        std::set<std::string> stateNames;
-        for (auto state : info.states) {
-            EXPECT_TRUE(stateNames.insert(state.name).second);
-        }
+    for (auto entity : entities) {
+        testUnique(entity.states, &State::name);
     }
 }
 
 // Each state must have an ID that is unique to the given PowerEntity
 TEST_P(PowerStatsAidl, ValidateStateUniqueIds) {
-    std::vector<PowerEntity> infos;
-    ASSERT_TRUE(powerstats->getPowerEntityInfo(&infos).isOk());
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
 
-    for (auto info : infos) {
-        std::set<int32_t> stateIds;
-        for (auto state : info.states) {
-            EXPECT_TRUE(stateIds.insert(state.id).second);
-        }
+    for (auto entity : entities) {
+        testUnique(entity.states, &State::id);
     }
 }
 
+// State residency must return a valid status
 TEST_P(PowerStatsAidl, TestGetStateResidency) {
     std::vector<StateResidencyResult> results;
     ASSERT_TRUE(powerstats->getStateResidency({}, &results).isOk());
 }
 
+// State residency must return all results
+TEST_P(PowerStatsAidl, TestGetStateResidencyAllResults) {
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
+
+    std::vector<StateResidencyResult> results;
+    ASSERT_TRUE(powerstats->getStateResidency({}, &results).isOk());
+
+    testMatching(entities, &PowerEntity::id, results, &StateResidencyResult::id);
+}
+
+// Each result must contain all state residencies
+TEST_P(PowerStatsAidl, TestGetStateResidencyAllStateResidencies) {
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
+
+    std::vector<StateResidencyResult> results;
+    ASSERT_TRUE(powerstats->getStateResidency({}, &results).isOk());
+
+    for (auto entity : entities) {
+        auto it = std::find_if(results.begin(), results.end(),
+                               [&entity](const auto& x) { return x.id == entity.id; });
+        ASSERT_NE(it, results.end());
+
+        testMatching(entity.states, &State::id, it->stateResidencyData, &StateResidency::id);
+    }
+}
+
+// State residency must return results for each requested power entity
+TEST_P(PowerStatsAidl, TestGetStateResidencySelectedResults) {
+    std::vector<PowerEntity> entities;
+    ASSERT_TRUE(powerstats->getPowerEntityInfo(&entities).isOk());
+    if (entities.empty()) {
+        return;
+    }
+
+    std::vector<PowerEntity> selectedEntities = getRandomSubset(entities);
+    std::vector<int32_t> selectedIds;
+    for (auto const& entity : selectedEntities) {
+        selectedIds.push_back(entity.id);
+    }
+
+    std::vector<StateResidencyResult> selectedResults;
+    ASSERT_TRUE(powerstats->getStateResidency(selectedIds, &selectedResults).isOk());
+
+    testMatching(selectedEntities, &PowerEntity::id, selectedResults, &StateResidencyResult::id);
+}
+
+// Energy meter info must return a valid status
 TEST_P(PowerStatsAidl, TestGetEnergyMeterInfo) {
     std::vector<Channel> info;
     ASSERT_TRUE(powerstats->getEnergyMeterInfo(&info).isOk());
 }
 
+// Each channel must have a valid name and subsystem
+TEST_P(PowerStatsAidl, ValidateChannelNames) {
+    std::vector<Channel> channels;
+    ASSERT_TRUE(powerstats->getEnergyMeterInfo(&channels).isOk());
+    for (auto channel : channels) {
+        testNameValid(channel.name);
+        testNameValid(channel.subsystem);
+    }
+}
+
+// Each channel must have a unique name
+TEST_P(PowerStatsAidl, ValidateChannelUniqueNames) {
+    std::vector<Channel> channels;
+    ASSERT_TRUE(powerstats->getEnergyMeterInfo(&channels).isOk());
+
+    testUnique(channels, &Channel::name);
+}
+
+// Each channel must have a unique ID
+TEST_P(PowerStatsAidl, ValidateChannelUniqueIds) {
+    std::vector<Channel> channels;
+    ASSERT_TRUE(powerstats->getEnergyMeterInfo(&channels).isOk());
+
+    testUnique(channels, &Channel::id);
+}
+
+// Reading energy meter must return a valid status
+TEST_P(PowerStatsAidl, TestReadEnergyMeter) {
+    std::vector<EnergyMeasurement> data;
+    ASSERT_TRUE(powerstats->readEnergyMeter({}, &data).isOk());
+}
+
+// Reading energy meter must return results for all available channels
+TEST_P(PowerStatsAidl, TestGetAllEnergyMeasurements) {
+    std::vector<Channel> channels;
+    ASSERT_TRUE(powerstats->getEnergyMeterInfo(&channels).isOk());
+
+    std::vector<EnergyMeasurement> measurements;
+    ASSERT_TRUE(powerstats->readEnergyMeter({}, &measurements).isOk());
+
+    testMatching(channels, &Channel::id, measurements, &EnergyMeasurement::id);
+}
+
+// Reading energy must must return results for each selected channel
+TEST_P(PowerStatsAidl, TestGetSelectedEnergyMeasurements) {
+    std::vector<Channel> channels;
+    ASSERT_TRUE(powerstats->getEnergyMeterInfo(&channels).isOk());
+    if (channels.empty()) {
+        return;
+    }
+
+    std::vector<Channel> selectedChannels = getRandomSubset(channels);
+    std::vector<int32_t> selectedIds;
+    for (auto const& channel : selectedChannels) {
+        selectedIds.push_back(channel.id);
+    }
+
+    std::vector<EnergyMeasurement> selectedMeasurements;
+    ASSERT_TRUE(powerstats->readEnergyMeter(selectedIds, &selectedMeasurements).isOk());
+
+    testMatching(selectedChannels, &Channel::id, selectedMeasurements, &EnergyMeasurement::id);
+}
+
+// Energy consumer info must return a valid status
+TEST_P(PowerStatsAidl, TestGetEnergyConsumerInfo) {
+    std::vector<EnergyConsumer> consumers;
+    ASSERT_TRUE(powerstats->getEnergyConsumerInfo(&consumers).isOk());
+}
+
+// Each energy consumer must have a unique id
+TEST_P(PowerStatsAidl, TestGetEnergyConsumerUniqueId) {
+    std::vector<EnergyConsumer> consumers;
+    ASSERT_TRUE(powerstats->getEnergyConsumerInfo(&consumers).isOk());
+
+    testUnique(consumers, &EnergyConsumer::id);
+}
+
+// Each energy consumer must have a valid name
+TEST_P(PowerStatsAidl, ValidateEnergyConsumerNames) {
+    std::vector<EnergyConsumer> consumers;
+    ASSERT_TRUE(powerstats->getEnergyConsumerInfo(&consumers).isOk());
+
+    for (auto consumer : consumers) {
+        testNameValid(consumer.name);
+    }
+}
+
+// Each energy consumer must have a unique name
+TEST_P(PowerStatsAidl, ValidateEnergyConsumerUniqueNames) {
+    std::vector<EnergyConsumer> consumers;
+    ASSERT_TRUE(powerstats->getEnergyConsumerInfo(&consumers).isOk());
+
+    testUnique(consumers, &EnergyConsumer::name);
+}
+
+// Energy consumers of the same type must have ordinals that are 0,1,2,..., N - 1
+TEST_P(PowerStatsAidl, ValidateEnergyConsumerOrdinals) {
+    std::vector<EnergyConsumer> consumers;
+    ASSERT_TRUE(powerstats->getEnergyConsumerInfo(&consumers).isOk());
+
+    std::unordered_map<EnergyConsumerType, std::set<int32_t>> ordinalMap;
+
+    // Ordinals must be unique for each type
+    for (auto consumer : consumers) {
+        EXPECT_TRUE(ordinalMap[consumer.type].insert(consumer.ordinal).second);
+    }
+
+    // Min ordinal must be 0, max ordinal must be N - 1
+    for (const auto& [unused, ordinals] : ordinalMap) {
+        EXPECT_EQ(0, *std::min_element(ordinals.begin(), ordinals.end()));
+        EXPECT_EQ(ordinals.size() - 1, *std::max_element(ordinals.begin(), ordinals.end()));
+    }
+}
+
+// Energy consumed must return a valid status
+TEST_P(PowerStatsAidl, TestGetEnergyConsumed) {
+    std::vector<EnergyConsumerResult> results;
+    ASSERT_TRUE(powerstats->getEnergyConsumed({}, &results).isOk());
+}
+
+// Energy consumed must return data for all energy consumers
+TEST_P(PowerStatsAidl, TestGetAllEnergyConsumed) {
+    std::vector<EnergyConsumer> consumers;
+    ASSERT_TRUE(powerstats->getEnergyConsumerInfo(&consumers).isOk());
+
+    std::vector<EnergyConsumerResult> results;
+    ASSERT_TRUE(powerstats->getEnergyConsumed({}, &results).isOk());
+
+    testMatching(consumers, &EnergyConsumer::id, results, &EnergyConsumerResult::id);
+}
+
+// Energy consumed must return data for each selected energy consumer
+TEST_P(PowerStatsAidl, TestGetSelectedEnergyConsumed) {
+    std::vector<EnergyConsumer> consumers;
+    ASSERT_TRUE(powerstats->getEnergyConsumerInfo(&consumers).isOk());
+    if (consumers.empty()) {
+        return;
+    }
+
+    std::vector<EnergyConsumer> selectedConsumers = getRandomSubset(consumers);
+    std::vector<int32_t> selectedIds;
+    for (auto const& consumer : selectedConsumers) {
+        selectedIds.push_back(consumer.id);
+    }
+
+    std::vector<EnergyConsumerResult> selectedResults;
+    ASSERT_TRUE(powerstats->getEnergyConsumed(selectedIds, &selectedResults).isOk());
+
+    testMatching(selectedConsumers, &EnergyConsumer::id, selectedResults,
+                 &EnergyConsumerResult::id);
+}
+
+// Energy consumed attribution uids must be unique for a given energy consumer
+TEST_P(PowerStatsAidl, ValidateEnergyConsumerAttributionUniqueUids) {
+    std::vector<EnergyConsumerResult> results;
+    ASSERT_TRUE(powerstats->getEnergyConsumed({}, &results).isOk());
+
+    for (auto result : results) {
+        testUnique(result.attribution, &EnergyConsumerAttribution::uid);
+    }
+}
+
+// Energy consumed total energy >= sum total of uid-attributed energy
+TEST_P(PowerStatsAidl, TestGetEnergyConsumedAttributedEnergy) {
+    std::vector<EnergyConsumerResult> results;
+    ASSERT_TRUE(powerstats->getEnergyConsumed({}, &results).isOk());
+
+    for (auto result : results) {
+        int64_t totalAttributedEnergyUWs = 0;
+        for (auto attribution : result.attribution) {
+            totalAttributedEnergyUWs += attribution.energyUWs;
+        }
+        EXPECT_TRUE(result.energyUWs >= totalAttributedEnergyUWs);
+    }
+}
+
 GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(PowerStatsAidl);
 INSTANTIATE_TEST_SUITE_P(
         PowerStats, PowerStatsAidl,
diff --git a/radio/1.6/IRadio.hal b/radio/1.6/IRadio.hal
index 1862800..b756ce1 100644
--- a/radio/1.6/IRadio.hal
+++ b/radio/1.6/IRadio.hal
@@ -18,9 +18,12 @@
 
 
 import @1.0::CdmaSmsMessage;
+import @1.0::Dial;
 import @1.0::GsmSmsMessage;
 import @1.1::CardPowerState;
 import @1.2::DataRequestReason;
+import @1.4::EmergencyCallRouting;
+import @1.4::EmergencyServiceCategory;
 import @1.4::RadioAccessFamily;
 import @1.5::IRadio;
 import @1.5::AccessNetwork;
@@ -120,6 +123,18 @@
      * @param sliceInfo SliceInfo to be used for the data connection when a handover occurs from
      *     EPDG to 5G.  It is valid only when accessNetwork is AccessNetwork:NGRAN.  If the slice
      *     passed from EPDG is rejected, then the data failure cause must be DataCallFailCause:SLICE_REJECTED.
+     * @param trafficDescriptor TrafficDescriptor for which data connection needs to be
+     *     established. It is used for URSP traffic matching as described in TS 24.526
+     *     Section 4.2.2. It includes an optional DNN which, if present, must be used for traffic
+     *     matching -- it does not specify the end point to be used for the data call. The end
+     *     point is specified by DataProfileInfo.apn; DataProfileInfo.apn must be used as the end
+     *     point if one is not specified through URSP rules.
+     * @param matchAllRuleAllowed bool to indicate if using default match-all URSP rule for this
+     *     request is allowed. If false, this request must not use the match-all URSP rule and if
+     *     a non-match-all rule is not found (or if URSP rules are not available) it should return
+     *     failure with cause DataCallFailCause:MATCH_ALL_RULE_NOT_ALLOWED. This is needed as some
+     *     requests need to have a hard failure if the intention cannot be met, for example, a
+     *     zero-rating slice.
      *
      * Response function is IRadioResponse.setupDataCallResponse_1_6()
      *
@@ -128,7 +143,8 @@
     oneway setupDataCall_1_6(int32_t serial, AccessNetwork accessNetwork,
             DataProfileInfo dataProfileInfo, bool roamingAllowed,
             DataRequestReason reason, vec<LinkAddress> addresses, vec<string> dnses,
-            int32_t pduSessionId, OptionalSliceInfo sliceInfo);
+            int32_t pduSessionId, OptionalSliceInfo sliceInfo,
+            OptionalTrafficDescriptor trafficDescriptor, bool matchAllRuleAllowed);
 
     /**
      * Send an SMS message
@@ -374,6 +390,64 @@
             int64_t completionDurationMillis);
 
     /**
+     * Initiate emergency voice call, with zero or more emergency service category(s), zero or
+     * more emergency Uniform Resource Names (URN), and routing information for handling the call.
+     * Android uses this request to make its emergency call instead of using @1.0::IRadio.dial
+     * if the 'address' in the 'dialInfo' field is identified as an emergency number by Android.
+     *
+     * In multi-sim scenario, if the emergency number is from a specific subscription, this radio
+     * request can still be sent out on the other subscription as long as routing is set to
+     * @1.4::EmergencyNumberRouting#EMERGENCY. This radio request will not be sent on an inactive
+     * (PIN/PUK locked) subscription unless both subscriptions are PIN/PUK locked. In this case,
+     * the request will be sent on the primary subscription.
+     *
+     * Some countries or carriers require some emergency numbers that must be handled with normal
+     * call routing if possible or emergency routing. 1) if the 'routing' field is specified as
+     * @1.4::EmergencyNumberRouting#NORMAL, the implementation must try the full radio service to
+     * use normal call routing to handle the call; if service cannot support normal routing, the
+     * implementation must use emergency routing to handle the call. 2) if 'routing' is specified
+     * as @1.4::EmergencyNumberRouting#EMERGENCY, the implementation must use emergency routing to
+     * handle the call. 3) if 'routing' is specified as @1.4::EmergencyNumberRouting#UNKNOWN,
+     * Android does not know how to handle the call.
+     *
+     * If the dialed emergency number does not have a specified emergency service category, the
+     * 'categories' field is set to @1.4::EmergencyServiceCategory#UNSPECIFIED; if the dialed
+     * emergency number does not have specified emergency Uniform Resource Names, the 'urns' field
+     * is set to an empty list. If the underlying technology used to request emergency services
+     * does not support the emergency service category or emergency uniform resource names, the
+     * field 'categories' or 'urns' may be ignored.
+     *
+     * In the scenarios that the 'address' in the 'dialInfo' field has other functions besides the
+     * emergency number function, if the 'hasKnownUserIntentEmergency' field is true, the user's
+     * intent for this dial request is emergency call, and the modem must treat this as an actual
+     * emergency dial; if the 'hasKnownUserIntentEmergency' field is false, Android does not know
+     * user's intent for this call.
+     *
+     * If 'isTesting' is true, this request is for testing purpose, and must not be sent to a real
+     * emergency service; otherwise it's for a real emergency call request.
+     *
+     * Reference: 3gpp 22.101, Section 10 - Emergency Calls;
+     *            3gpp 23.167, Section 6 - Functional description;
+     *            3gpp 24.503, Section 5.1.6.8.1 - General;
+     *            RFC 5031
+     *
+     * @param serial Serial number of request.
+     * @param dialInfo the same @1.0::Dial information used by @1.0::IRadio.dial.
+     * @param categories bitfield<@1.4::EmergencyServiceCategory> the Emergency Service Category(s)
+     *     of the call.
+     * @param urns the emergency Uniform Resource Names (URN)
+     * @param routing @1.4::EmergencyCallRouting the emergency call routing information.
+     * @param hasKnownUserIntentEmergency Flag indicating if user's intent for the emergency call
+     *     is known.
+     * @param isTesting Flag indicating if this request is for testing purpose.
+     *
+     * Response function is IRadioResponse.emergencyDialResponse()
+     */
+    oneway emergencyDial_1_6(int32_t serial, Dial dialInfo,
+            bitfield<EmergencyServiceCategory> categories, vec<string> urns,
+            EmergencyCallRouting routing, bool hasKnownUserIntentEmergency, bool isTesting);
+
+    /**
      * Get which bands the modem's background scan is acting on.
      *
      * @param serial Serial number of request.
@@ -431,4 +505,17 @@
      * Response function is IRadioResponse.getCurrentCallsResponse_1_6()
      */
     oneway getCurrentCalls_1_6(int32_t serial);
+
+    /**
+     * Request to get the current slicing configuration including URSP rules and
+     * NSSAIs (configured, allowed and rejected).
+     * URSP stands for UE route selection policy and is defined in 3GPP TS 24.526
+     * Section 4.2.
+     * An NSSAI is a collection of network slices. Each network slice is identified by
+     * an S-NSSAI and is represented by the struct SliceInfo. NSSAI and S-NSSAI
+     * are defined in 3GPP TS 24.501.
+     *
+     * Response function is IRadioResponse.getSlicingConfigResponse()
+     */
+    oneway getSlicingConfig(int32_t serial);
 };
diff --git a/radio/1.6/IRadioResponse.hal b/radio/1.6/IRadioResponse.hal
index 3c6137e..6ad5cf2 100644
--- a/radio/1.6/IRadioResponse.hal
+++ b/radio/1.6/IRadioResponse.hal
@@ -25,6 +25,7 @@
 import @1.6::RadioResponseInfo;
 import @1.6::SetupDataCallResult;
 import @1.6::SignalStrength;
+import @1.6::SlicingConfig;
 
 /**
  * Interface declaring response functions to solicited radio requests.
@@ -416,4 +417,17 @@
      *   RadioError:CANCELLED
      */
     oneway getCurrentCallsResponse_1_6(RadioResponseInfo info, vec<Call> calls);
+
+    /**
+     * @param info Response info struct containing response type, serial no. and error
+     * @param slicingConfig Current slicing configuration
+     *
+     * Valid errors returned:
+     *   RadioError:NONE
+     *   RadioError:RADIO_NOT_AVAILABLE
+     *   RadioError:INTERNAL_ERR
+     *   RadioError:MODEM_ERR
+     */
+    oneway getSlicingConfigResponse(RadioResponseInfo info,
+            SlicingConfig slicingConfig);
 };
diff --git a/radio/1.6/types.hal b/radio/1.6/types.hal
index 4eaf7be..6c23650 100644
--- a/radio/1.6/types.hal
+++ b/radio/1.6/types.hal
@@ -365,6 +365,13 @@
      * AccessNetwork:NGRAN.
      */
     OptionalSliceInfo sliceInfo;
+
+    /**
+     * TrafficDescriptors for which this data call must be used. It only includes
+     * the TDs for which a data call has been requested so far; it is not an
+     * exhaustive list.
+     */
+    vec<TrafficDescriptor> trafficDescriptors;
 };
 
 /**
@@ -737,6 +744,14 @@
              */
             NrVopsInfo nrVopsInfo;
         } ngranInfo;
+
+        struct GeranRegistrationInfo {
+            /**
+             * True if the dual transfer mode is supported.
+             * Refer to 3GPP TS 44.108 section 3.4.25.3
+             */
+            bool dtmSupported;
+        } geranInfo;
     } accessTechnologySpecificInfo;
 };
 
@@ -824,6 +839,16 @@
      * Data call fail due to the slice not being allowed for the data call.
      */
     SLICE_REJECTED = 0x8CC,
+
+    /**
+     * No matching rule available for the request, and match-all rule is not allowed for it.
+     */
+    MATCH_ALL_RULE_NOT_ALLOWED = 0x8CD,
+
+    /**
+     * If connection failed for all matching URSP rules
+     */
+    ALL_MATCHING_RULES_FAILED = 0x8CE,
 };
 
 struct PhysicalChannelConfig {
@@ -892,3 +917,201 @@
     BAND_53 = 53,
     BAND_96 = 96,
 };
+
+/**
+ * This safe_union represents an optional DNN. DNN stands for Data Network Name
+ * and represents an APN as defined in 3GPP TS 23.003.
+ */
+safe_union OptionalDNN {
+    Monostate noinit;
+    string value;
+};
+
+/**
+ * This safe_union represents an optional OSAppId.
+ */
+safe_union OptionalOSAppId {
+    Monostate noinit;
+    OSAppId value;
+};
+
+/**
+ * This safe_union represents an optional TrafficDescriptor.
+ */
+safe_union OptionalTrafficDescriptor {
+    Monostate noinit;
+    TrafficDescriptor value;
+};
+
+/**
+ * This struct represents a traffic descriptor. A valid struct must have at least
+ * one of the optional values present. This is based on the definition of traffic
+ * descriptor in TS 24.526 Section 5.2.
+ */
+struct TrafficDescriptor {
+    /**
+     * DNN stands for Data Network Name and represents an APN as defined in
+     * 3GPP TS 23.003.
+     */
+    OptionalDNN dnn;
+    /**
+     * Indicates the OSId + OSAppId (used as category in Android).
+     */
+    OptionalOSAppId osAppId;
+};
+
+/**
+ * This struct represents the OSId + OSAppId as defined in TS 24.526 Section 5.2
+ */
+struct OSAppId {
+    /**
+     * Byte array representing OSId + OSAppId. The minimum length of the array is
+     * 18 and maximum length is 272 (16 bytes for OSId + 1 byte for OSAppId length
+     * + up to 255 bytes for OSAppId).
+     */
+    vec<uint8_t> osAppId;
+};
+
+/**
+ * This struct represents the current slicing configuration.
+ */
+struct SlicingConfig {
+    /**
+     * This vector contains the current URSP rules. Empty vector represents that no
+     * rules are configured.
+     */
+    vec<UrspRule> urspRules;
+    /**
+     * Struct containing all NSSAIs (list of slice info).
+     */
+    Nssais nsaids;
+};
+
+/**
+ * This struct represents a single URSP rule as defined in 3GPP TS 24.526.
+ */
+struct UrspRule {
+    /**
+     * Precedence value in the range of 0 to 255. Higher value has lower
+     * precedence.
+     */
+    uint8_t precedence;
+    /**
+     * Used as a matcher for network requests.
+     */
+    vec<TrafficDescriptor> trafficDescriptors;
+    /**
+     * List of routes (connection parameters) that must be used for requests
+     * matching a trafficDescriptor.
+     */
+    vec<RouteSelectionDescriptor> routeSelectionDescriptor;
+};
+
+
+/**
+ * This struct represents a single route selection descriptor as defined in
+ * 3GPP TS 24.526.
+ */
+struct RouteSelectionDescriptor {
+    /**
+     * Precedence value in the range of 0 to 255. Higher value has lower
+     * precedence.
+     */
+    uint8_t precedence;
+    /**
+     * Parameters defining this RouteSelectionDescriptor. The length of the vector
+     * must be >= 1.
+     */
+    vec<RouteSelectionDescriptorParams> routeSelectionDescriptorParams;
+};
+
+/**
+ * This struct represents a route selection descriptor. A valid struct must have
+ * at least one of the vectors non-empty.
+ */
+struct RouteSelectionDescriptorParams {
+    /**
+     * Valid values are IP, IPV6 and IPV4V6.
+     */
+    OptionalPdpProtocolType sessionType;
+    OptionalSscMode sscMode;
+    /**
+     * There can be 0 or more SliceInfo specified in a route descriptor.
+     */
+    vec<SliceInfo> sliceInfo;
+    /**
+     * DNN stands for Data Network Name and represents an APN as defined in
+     * 3GPP TS 23.003. There can be 0 or more DNNs specified in a route
+     * descriptor.
+     */
+    vec<string> dnn;
+};
+
+/**
+ * This safe_union represents an optional PdpProtocolType.
+ */
+safe_union OptionalPdpProtocolType {
+    Monostate noinit;
+    PdpProtocolType value;
+};
+
+/**
+ * This safe_union represents an optional SscMode.
+ */
+safe_union OptionalSscMode {
+    Monostate noinit;
+    SscMode value;
+};
+
+/**
+ * This struct contains all NSSAIs (lists of slices).
+ */
+struct Nssais {
+    /**
+     * These are all the slices configured by the network. This includes allowed
+     * and rejected slices, as well as slices that are neither allowed nor rejected
+     * yet. Empty vector indicates that no slices are configured, and in that case
+     * allowed and rejected vectors must be empty as well.
+     */
+    vec<SliceInfo> configured;
+    /**
+     * These are all the slices that the UE is allowed to use. All these slices
+     * must be configured as well. Empty vector indicates that no slices are
+     * allowed yet.
+     */
+    vec<SliceInfo> allowed;
+    /**
+     * These are all the slices that the UE is not allowed to use. All these slices
+     * must be configured as well. Empty vector indicates that no slices are
+     * rejected yet.
+     */
+    vec<RejectedSliceInfo> rejected;
+    /**
+     * Default configured NSSAI
+     */
+    vec<SliceInfo> defaultConfigured;
+};
+
+/**
+ * This struct represents a network slice rejected by the network. It contains a
+ * rejectionCause corresponding to a rejected network slice.
+ */
+struct RejectedSliceInfo {
+    SliceInfo sliceInfo;
+    SliceRejectionCause rejectionCause;
+};
+
+enum SliceRejectionCause : int32_t {
+    NOT_AVAILABLE_IN_PLMN,
+    NOT_AVAILABLE_IN_REG_AREA,
+};
+
+/**
+ * Enum representing session and service continuity mode as defined in
+ * 3GPP TS 23.501.
+ */
+enum SscMode : int32_t {
+    MODE_1 = 1,
+    MODE_2 = 2,
+    MODE_3 = 3,
+};
diff --git a/radio/1.6/vts/functional/radio_hidl_hal_api.cpp b/radio/1.6/vts/functional/radio_hidl_hal_api.cpp
index 8b87292..07b8ccb 100644
--- a/radio/1.6/vts/functional/radio_hidl_hal_api.cpp
+++ b/radio/1.6/vts/functional/radio_hidl_hal_api.cpp
@@ -59,9 +59,15 @@
     ::android::hardware::radio::V1_6::OptionalSliceInfo optionalSliceInfo;
     memset(&optionalSliceInfo, 0, sizeof(optionalSliceInfo));
 
+    ::android::hardware::radio::V1_6::OptionalTrafficDescriptor optionalTrafficDescriptor;
+    memset(&optionalTrafficDescriptor, 0, sizeof(optionalTrafficDescriptor));
+
+    bool matchAllRuleAllowed = true;
+
     Return<void> res =
             radio_v1_6->setupDataCall_1_6(serial, accessNetwork, dataProfileInfo, roamingAllowed,
-                                          reason, addresses, dnses, -1, optionalSliceInfo);
+                                          reason, addresses, dnses, -1, optionalSliceInfo,
+                                          optionalTrafficDescriptor, matchAllRuleAllowed);
     ASSERT_OK(res);
 
     EXPECT_EQ(std::cv_status::no_timeout, wait());
@@ -82,6 +88,93 @@
     }
 }
 
+TEST_P(RadioHidlTest_v1_6, setupDataCall_1_6_osAppId) {
+    serial = GetRandomSerialNumber();
+
+    ::android::hardware::radio::V1_5::AccessNetwork accessNetwork =
+            ::android::hardware::radio::V1_5::AccessNetwork::EUTRAN;
+
+    android::hardware::radio::V1_5::DataProfileInfo dataProfileInfo;
+    memset(&dataProfileInfo, 0, sizeof(dataProfileInfo));
+    dataProfileInfo.profileId = DataProfileId::DEFAULT;
+    dataProfileInfo.apn = hidl_string("internet");
+    dataProfileInfo.protocol = PdpProtocolType::IP;
+    dataProfileInfo.roamingProtocol = PdpProtocolType::IP;
+    dataProfileInfo.authType = ApnAuthType::NO_PAP_NO_CHAP;
+    dataProfileInfo.user = hidl_string("username");
+    dataProfileInfo.password = hidl_string("password");
+    dataProfileInfo.type = DataProfileInfoType::THREE_GPP;
+    dataProfileInfo.maxConnsTime = 300;
+    dataProfileInfo.maxConns = 20;
+    dataProfileInfo.waitTime = 0;
+    dataProfileInfo.enabled = true;
+    dataProfileInfo.supportedApnTypesBitmap = 320;
+    dataProfileInfo.bearerBitmap = 161543;
+    dataProfileInfo.mtuV4 = 0;
+    dataProfileInfo.mtuV6 = 0;
+    dataProfileInfo.preferred = true;
+    dataProfileInfo.persistent = false;
+
+    bool roamingAllowed = false;
+
+    std::vector<::android::hardware::radio::V1_5::LinkAddress> addresses = {};
+    std::vector<hidl_string> dnses = {};
+
+    ::android::hardware::radio::V1_2::DataRequestReason reason =
+            ::android::hardware::radio::V1_2::DataRequestReason::NORMAL;
+
+    ::android::hardware::radio::V1_6::OptionalSliceInfo optionalSliceInfo;
+    memset(&optionalSliceInfo, 0, sizeof(optionalSliceInfo));
+
+    ::android::hardware::radio::V1_6::OptionalTrafficDescriptor optionalTrafficDescriptor;
+    memset(&optionalTrafficDescriptor, 0, sizeof(optionalTrafficDescriptor));
+
+    ::android::hardware::radio::V1_6::TrafficDescriptor trafficDescriptor;
+    ::android::hardware::radio::V1_6::OSAppId osAppId;
+    osAppId.osAppId = 1;
+    trafficDescriptor.osAppId.value(osAppId);
+    optionalTrafficDescriptor.value(trafficDescriptor);
+
+    bool matchAllRuleAllowed = true;
+
+    Return<void> res =
+            radio_v1_6->setupDataCall_1_6(serial, accessNetwork, dataProfileInfo, roamingAllowed,
+                                          reason, addresses, dnses, -1, optionalSliceInfo,
+                                          optionalTrafficDescriptor, matchAllRuleAllowed);
+    ASSERT_OK(res);
+
+    EXPECT_EQ(std::cv_status::no_timeout, wait());
+    EXPECT_EQ(RadioResponseType::SOLICITED, radioRsp_v1_6->rspInfo.type);
+    EXPECT_EQ(serial, radioRsp_v1_6->rspInfo.serial);
+    if (cardStatus.base.base.base.cardState == CardState::ABSENT) {
+        ASSERT_TRUE(CheckAnyOfErrors(
+                radioRsp_v1_6->rspInfo.error,
+                {::android::hardware::radio::V1_6::RadioError::SIM_ABSENT,
+                 ::android::hardware::radio::V1_6::RadioError::RADIO_NOT_AVAILABLE,
+                 ::android::hardware::radio::V1_6::RadioError::OP_NOT_ALLOWED_BEFORE_REG_TO_NW}));
+    } else if (cardStatus.base.base.base.cardState == CardState::PRESENT) {
+        ASSERT_TRUE(CheckAnyOfErrors(
+                radioRsp_v1_6->rspInfo.error,
+                {::android::hardware::radio::V1_6::RadioError::NONE,
+                 ::android::hardware::radio::V1_6::RadioError::RADIO_NOT_AVAILABLE,
+                 ::android::hardware::radio::V1_6::RadioError::OP_NOT_ALLOWED_BEFORE_REG_TO_NW}));
+        EXPECT_EQ(optionalTrafficDescriptor.value().osAppId.value().osAppId,
+                radioRsp_v1_6->setupDataCallResult.trafficDescriptors[0].osAppId.value().osAppId);
+    }
+}
+
+/*
+ * Test IRadio.getSlicingConfig() for the response returned.
+ */
+TEST_P(RadioHidlTest_v1_6, getSlicingConfig) {
+    serial = GetRandomSerialNumber();
+    radio_v1_6->getSlicingConfig(serial);
+    EXPECT_EQ(std::cv_status::no_timeout, wait());
+    EXPECT_EQ(RadioResponseType::SOLICITED, radioRsp_v1_6->rspInfo.type);
+    EXPECT_EQ(serial, radioRsp_v1_6->rspInfo.serial);
+    EXPECT_EQ(::android::hardware::radio::V1_6::RadioError::NONE, radioRsp_v1_6->rspInfo.error);
+}
+
 /*
  * Test IRadio_1_6.sendSms() for the response returned.
  */
@@ -412,6 +505,167 @@
 }
 
 /*
+ * Test IRadio.emergencyDial() for the response returned.
+ */
+TEST_P(RadioHidlTest_v1_6, emergencyDial_1_6) {
+    if (!deviceSupportsFeature(FEATURE_VOICE_CALL)) {
+        ALOGI("Skipping emergencyDial because voice call is not supported in device");
+        return;
+    } else {
+        ALOGI("Running emergencyDial because voice call is supported in device");
+    }
+
+    serial = GetRandomSerialNumber();
+
+    ::android::hardware::radio::V1_0::Dial dialInfo;
+    dialInfo.address = hidl_string("911");
+    int categories = static_cast<int>(
+            ::android::hardware::radio::V1_4::EmergencyServiceCategory::UNSPECIFIED);
+    std::vector<hidl_string> urns = {""};
+    ::android::hardware::radio::V1_4::EmergencyCallRouting routing =
+            ::android::hardware::radio::V1_4::EmergencyCallRouting::UNKNOWN;
+
+    Return<void> res =
+            radio_v1_6->emergencyDial_1_6(serial, dialInfo, categories, urns, routing, true, true);
+    ASSERT_OK(res);
+    EXPECT_EQ(std::cv_status::no_timeout, wait());
+    EXPECT_EQ(RadioResponseType::SOLICITED, radioRsp_v1_6->rspInfo_v1_0.type);
+    EXPECT_EQ(serial, radioRsp_v1_6->rspInfo_v1_0.serial);
+
+    ALOGI("emergencyDial, rspInfo_v1_0.error = %s\n",
+          toString(radioRsp_v1_6->rspInfo_v1_0.error).c_str());
+
+    ::android::hardware::radio::V1_0::RadioError rspEmergencyDial =
+            radioRsp_v1_6->rspInfo_v1_0.error;
+    // In DSDS or TSTS, we only check the result if the current slot is IN_SERVICE
+    // or Emergency_Only.
+    if (isDsDsEnabled() || isTsTsEnabled()) {
+        serial = GetRandomSerialNumber();
+        radio_v1_6->getVoiceRegistrationState(serial);
+        EXPECT_EQ(std::cv_status::no_timeout, wait());
+        if (isVoiceEmergencyOnly(radioRsp_v1_6->voiceRegResp.regState) ||
+            isVoiceInService(radioRsp_v1_6->voiceRegResp.regState)) {
+            EXPECT_EQ(::android::hardware::radio::V1_0::RadioError::NONE, rspEmergencyDial);
+        }
+    } else {
+        EXPECT_EQ(::android::hardware::radio::V1_0::RadioError::NONE, rspEmergencyDial);
+    }
+
+    // Give some time for modem to establish the emergency call channel.
+    sleep(MODEM_EMERGENCY_CALL_ESTABLISH_TIME);
+
+    // Disconnect all the potential established calls to prevent them affecting other tests.
+    clearPotentialEstablishedCalls();
+}
+
+/*
+ * Test IRadio.emergencyDial() with specified service and its response returned.
+ */
+TEST_P(RadioHidlTest_v1_6, emergencyDial_1_6_withServices) {
+    if (!deviceSupportsFeature(FEATURE_VOICE_CALL)) {
+        ALOGI("Skipping emergencyDial because voice call is not supported in device");
+        return;
+    } else {
+        ALOGI("Running emergencyDial because voice call is supported in device");
+    }
+
+    serial = GetRandomSerialNumber();
+
+    ::android::hardware::radio::V1_0::Dial dialInfo;
+    dialInfo.address = hidl_string("911");
+    int categories =
+            static_cast<int>(::android::hardware::radio::V1_4::EmergencyServiceCategory::AMBULANCE);
+    std::vector<hidl_string> urns = {"urn:service:sos.ambulance"};
+    ::android::hardware::radio::V1_4::EmergencyCallRouting routing =
+            ::android::hardware::radio::V1_4::EmergencyCallRouting::UNKNOWN;
+
+    Return<void> res =
+            radio_v1_6->emergencyDial_1_6(serial, dialInfo, categories, urns, routing, true, true);
+    ASSERT_OK(res);
+    EXPECT_EQ(std::cv_status::no_timeout, wait());
+    EXPECT_EQ(RadioResponseType::SOLICITED, radioRsp_v1_6->rspInfo_v1_0.type);
+    EXPECT_EQ(serial, radioRsp_v1_6->rspInfo_v1_0.serial);
+
+    ALOGI("emergencyDial_withServices, rspInfo_v1_0.error = %s\n",
+          toString(radioRsp_v1_6->rspInfo_v1_0.error).c_str());
+    ::android::hardware::radio::V1_0::RadioError rspEmergencyDial =
+            radioRsp_v1_6->rspInfo_v1_0.error;
+
+    // In DSDS or TSTS, we only check the result if the current slot is IN_SERVICE
+    // or Emergency_Only.
+    if (isDsDsEnabled() || isTsTsEnabled()) {
+        serial = GetRandomSerialNumber();
+        radio_v1_6->getVoiceRegistrationState(serial);
+        EXPECT_EQ(std::cv_status::no_timeout, wait());
+        if (isVoiceEmergencyOnly(radioRsp_v1_6->voiceRegResp.regState) ||
+            isVoiceInService(radioRsp_v1_6->voiceRegResp.regState)) {
+            EXPECT_EQ(::android::hardware::radio::V1_0::RadioError::NONE, rspEmergencyDial);
+        }
+    } else {
+        EXPECT_EQ(::android::hardware::radio::V1_0::RadioError::NONE, rspEmergencyDial);
+    }
+    // Give some time for modem to establish the emergency call channel.
+    sleep(MODEM_EMERGENCY_CALL_ESTABLISH_TIME);
+
+    // Disconnect all the potential established calls to prevent them affecting other tests.
+    clearPotentialEstablishedCalls();
+}
+
+/*
+ * Test IRadio.emergencyDial() with known emergency call routing and its response returned.
+ */
+TEST_P(RadioHidlTest_v1_6, emergencyDial_1_6_withEmergencyRouting) {
+    if (!deviceSupportsFeature(FEATURE_VOICE_CALL)) {
+        ALOGI("Skipping emergencyDial because voice call is not supported in device");
+        return;
+    } else {
+        ALOGI("Running emergencyDial because voice call is supported in device");
+    }
+
+    serial = GetRandomSerialNumber();
+
+    ::android::hardware::radio::V1_0::Dial dialInfo;
+    dialInfo.address = hidl_string("911");
+    int categories = static_cast<int>(
+            ::android::hardware::radio::V1_4::EmergencyServiceCategory::UNSPECIFIED);
+    std::vector<hidl_string> urns = {""};
+    ::android::hardware::radio::V1_4::EmergencyCallRouting routing =
+            ::android::hardware::radio::V1_4::EmergencyCallRouting::EMERGENCY;
+
+    Return<void> res =
+            radio_v1_6->emergencyDial_1_6(serial, dialInfo, categories, urns, routing, true, true);
+    ASSERT_OK(res);
+    EXPECT_EQ(std::cv_status::no_timeout, wait());
+    EXPECT_EQ(RadioResponseType::SOLICITED, radioRsp_v1_6->rspInfo_v1_0.type);
+    EXPECT_EQ(serial, radioRsp_v1_6->rspInfo_v1_0.serial);
+
+    ALOGI("emergencyDial_withEmergencyRouting, rspInfo_v1_0.error = %s\n",
+          toString(radioRsp_v1_6->rspInfo_v1_0.error).c_str());
+    ::android::hardware::radio::V1_0::RadioError rspEmergencyDial =
+            radioRsp_v1_6->rspInfo_v1_0.error;
+
+    // In DSDS or TSTS, we only check the result if the current slot is IN_SERVICE
+    // or Emergency_Only.
+    if (isDsDsEnabled() || isTsTsEnabled()) {
+        serial = GetRandomSerialNumber();
+        radio_v1_6->getVoiceRegistrationState(serial);
+        EXPECT_EQ(std::cv_status::no_timeout, wait());
+        if (isVoiceEmergencyOnly(radioRsp_v1_6->voiceRegResp.regState) ||
+            isVoiceInService(radioRsp_v1_6->voiceRegResp.regState)) {
+            EXPECT_EQ(::android::hardware::radio::V1_0::RadioError::NONE, rspEmergencyDial);
+        }
+    } else {
+        EXPECT_EQ(::android::hardware::radio::V1_0::RadioError::NONE, rspEmergencyDial);
+    }
+
+    // Give some time for modem to establish the emergency call channel.
+    sleep(MODEM_EMERGENCY_CALL_ESTABLISH_TIME);
+
+    // Disconnect all the potential established calls to prevent them affecting other tests.
+    clearPotentialEstablishedCalls();
+}
+
+/*
  * Test IRadio.getCurrentCalls_1_6() for the response returned.
  */
 TEST_P(RadioHidlTest_v1_6, getCurrentCalls_1_6) {
diff --git a/radio/1.6/vts/functional/radio_hidl_hal_test.cpp b/radio/1.6/vts/functional/radio_hidl_hal_test.cpp
index 79c3cde..59f7682 100644
--- a/radio/1.6/vts/functional/radio_hidl_hal_test.cpp
+++ b/radio/1.6/vts/functional/radio_hidl_hal_test.cpp
@@ -74,6 +74,29 @@
     return status;
 }
 
+void RadioHidlTest_v1_6::clearPotentialEstablishedCalls() {
+    // Get the current call Id to hangup the established emergency call.
+    serial = GetRandomSerialNumber();
+    radio_v1_6->getCurrentCalls_1_6(serial);
+    EXPECT_EQ(std::cv_status::no_timeout, wait());
+
+    // Hang up to disconnect the established call channels.
+    for (const ::android::hardware::radio::V1_6::Call& call : radioRsp_v1_6->currentCalls) {
+        serial = GetRandomSerialNumber();
+        radio_v1_6->hangup(serial, call.base.base.index);
+        ALOGI("Hang up to disconnect the established call channel: %d", call.base.base.index);
+        EXPECT_EQ(std::cv_status::no_timeout, wait());
+        // Give some time for modem to disconnect the established call channel.
+        sleep(MODEM_EMERGENCY_CALL_DISCONNECT_TIME);
+    }
+
+    // Verify there are no more current calls.
+    serial = GetRandomSerialNumber();
+    radio_v1_6->getCurrentCalls_1_6(serial);
+    EXPECT_EQ(std::cv_status::no_timeout, wait());
+    EXPECT_EQ(0, radioRsp_v1_6->currentCalls.size());
+}
+
 void RadioHidlTest_v1_6::updateSimCardStatus() {
     serial = GetRandomSerialNumber();
     radio_v1_6->getIccCardStatus(serial);
diff --git a/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h b/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h
index 334fec3..f32e312 100644
--- a/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h
+++ b/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h
@@ -70,7 +70,8 @@
     ::android::hardware::radio::V1_6::RadioResponseInfo rspInfo;
 
     // Call
-    hidl_vec<::android::hardware::radio::V1_2::Call> currentCalls;
+    hidl_vec<::android::hardware::radio::V1_6::Call> currentCalls;
+    ::android::hardware::radio::V1_2::VoiceRegStateResult voiceRegResp;
 
     // Sms
     SendSmsResult sendSmsResult;
@@ -88,6 +89,7 @@
 
     // Data
     ::android::hardware::radio::V1_4::DataRegStateResult dataRegResp;
+    ::android::hardware::radio::V1_6::SetupDataCallResult setupDataCallResult;
 
     // SimLock status
     ::android::hardware::radio::V1_4::CarrierRestrictionsWithPriority carrierRestrictionsResp;
@@ -825,6 +827,10 @@
     Return<void> getCurrentCallsResponse_1_6(
             const ::android::hardware::radio::V1_6::RadioResponseInfo& info,
             const ::android::hardware::hidl_vec<::android::hardware::radio::V1_6::Call>& calls);
+
+    Return<void> getSlicingConfigResponse(
+            const ::android::hardware::radio::V1_6::RadioResponseInfo& info,
+            const ::android::hardware::radio::V1_6::SlicingConfig& slicingConfig);
 };
 
 /* Callback class for radio indication */
diff --git a/radio/1.6/vts/functional/radio_response.cpp b/radio/1.6/vts/functional/radio_response.cpp
index 100fabd..fad3f12 100644
--- a/radio/1.6/vts/functional/radio_response.cpp
+++ b/radio/1.6/vts/functional/radio_response.cpp
@@ -816,8 +816,11 @@
 }
 
 Return<void> RadioResponse_v1_6::getVoiceRegistrationStateResponse_1_2(
-        const ::android::hardware::radio::V1_0::RadioResponseInfo& /*info*/,
-        const ::android::hardware::radio::V1_2::VoiceRegStateResult& /*voiceRegResponse*/) {
+        const ::android::hardware::radio::V1_0::RadioResponseInfo& info,
+        const ::android::hardware::radio::V1_2::VoiceRegStateResult& voiceRegResponse) {
+    rspInfo_v1_0 = info;
+    voiceRegResp = voiceRegResponse;
+    parent_v1_6.notify(info.serial);
     return Void();
 }
 
@@ -1050,8 +1053,9 @@
 
 Return<void> RadioResponse_v1_6::setupDataCallResponse_1_6(
         const ::android::hardware::radio::V1_6::RadioResponseInfo& info,
-        const android::hardware::radio::V1_6::SetupDataCallResult& /* dcResponse */) {
+        const android::hardware::radio::V1_6::SetupDataCallResult& dcResponse) {
     rspInfo = info;
+    setupDataCallResult = dcResponse;
     parent_v1_6.notify(info.serial);
     return Void();
 }
@@ -1210,7 +1214,16 @@
 
 Return<void> RadioResponse_v1_6::getCurrentCallsResponse_1_6(
         const ::android::hardware::radio::V1_6::RadioResponseInfo& info,
-        const ::android::hardware::hidl_vec<::android::hardware::radio::V1_6::Call>& /*calls*/) {
+        const ::android::hardware::hidl_vec<::android::hardware::radio::V1_6::Call>& calls) {
+    rspInfo = info;
+    currentCalls = calls;
+    parent_v1_6.notify(info.serial);
+    return Void();
+}
+
+Return<void> RadioResponse_v1_6::getSlicingConfigResponse(
+        const ::android::hardware::radio::V1_6::RadioResponseInfo& info,
+        const ::android::hardware::radio::V1_6::SlicingConfig& /*slicingConfig*/) {
     rspInfo = info;
     parent_v1_6.notify(info.serial);
     return Void();
diff --git a/rebootescrow/aidl/default/Android.bp b/rebootescrow/aidl/default/Android.bp
index b77272f..e6a4e7a 100644
--- a/rebootescrow/aidl/default/Android.bp
+++ b/rebootescrow/aidl/default/Android.bp
@@ -20,7 +20,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.rebootescrow-ndk_platform",
+        "android.hardware.rebootescrow-V1-ndk_platform",
     ],
     export_include_dirs: ["include"],
     srcs: [
@@ -47,7 +47,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.rebootescrow-ndk_platform",
+        "android.hardware.rebootescrow-V1-ndk_platform",
     ],
     static_libs: [
         "libhadamardutils",
diff --git a/rebootescrow/aidl/vts/functional/Android.bp b/rebootescrow/aidl/vts/functional/Android.bp
index 2cc0068..abd4937 100644
--- a/rebootescrow/aidl/vts/functional/Android.bp
+++ b/rebootescrow/aidl/vts/functional/Android.bp
@@ -25,7 +25,7 @@
         "libbinder",
     ],
     static_libs: [
-        "android.hardware.rebootescrow-cpp",
+        "android.hardware.rebootescrow-V1-cpp",
     ],
     test_suites: [
         "vts",
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Algorithm.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Algorithm.aidl
index a6c3e65..29ff8f8 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Algorithm.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Algorithm.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BeginResult.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BeginResult.aidl
index 84395af..4421619 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BeginResult.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BeginResult.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BlockMode.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BlockMode.aidl
index e914823..e9652c3 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BlockMode.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/BlockMode.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ByteArray.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ByteArray.aidl
index cef8eca..34f2749 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ByteArray.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ByteArray.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Certificate.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Certificate.aidl
index 2277831..5d1cc68 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Certificate.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Certificate.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Digest.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Digest.aidl
index 2e583ce..5055d75 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Digest.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Digest.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/EcCurve.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/EcCurve.aidl
index b372822..1a7e9b5 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/EcCurve.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/EcCurve.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl
index aa8c071..a35b46c 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
@@ -97,6 +111,8 @@
   STORAGE_KEY_UNSUPPORTED = -77,
   INCOMPATIBLE_MGF_DIGEST = -78,
   UNSUPPORTED_MGF_DIGEST = -79,
+  MISSING_NOT_BEFORE = -80,
+  MISSING_NOT_AFTER = -81,
   UNIMPLEMENTED = -100,
   VERSION_MISMATCH = -101,
   UNKNOWN_ERROR = -1000,
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthToken.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthToken.aidl
index 5858c77..bd304f1 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthToken.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthToken.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthenticatorType.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthenticatorType.aidl
index 9ab00c1..ae64110 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthenticatorType.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/HardwareAuthenticatorType.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl
index c95145d..132135b 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl
index e6ab4c8..a9b9a05 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCharacteristics.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCharacteristics.aidl
index 49ea8af..b430da9 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCharacteristics.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCharacteristics.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCreationResult.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCreationResult.aidl
index 4b9ac79..4139436 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCreationResult.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyCreationResult.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyFormat.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyFormat.aidl
index 4eb5a78..1ad7c51 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyFormat.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyFormat.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyMintHardwareInfo.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyMintHardwareInfo.aidl
index 0390ec9..93966ea 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyMintHardwareInfo.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyMintHardwareInfo.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
@@ -17,7 +31,7 @@
 // later when a module using the interface is updated, e.g., Mainline modules.
 
 package android.hardware.security.keymint;
-@VintfStability
+@RustDerive(Clone=true, Eq=true, Hash=true, Ord=true, PartialEq=true, PartialOrd=true) @VintfStability
 parcelable KeyMintHardwareInfo {
   int versionNumber;
   android.hardware.security.keymint.SecurityLevel securityLevel;
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyOrigin.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyOrigin.aidl
index e84cf74..acaf60d 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyOrigin.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyOrigin.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameter.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameter.aidl
index 6829a2b..f534952 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameter.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameter.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterArray.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterArray.aidl
index 882ca89..2706623 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterArray.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterArray.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterValue.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterValue.aidl
index 6c11a92..c79614a 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterValue.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyParameterValue.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyPurpose.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyPurpose.aidl
index ab5e815..c1e92af 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyPurpose.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/KeyPurpose.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/PaddingMode.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/PaddingMode.aidl
index 6c61312..96b63e1 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/PaddingMode.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/PaddingMode.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/SecurityLevel.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/SecurityLevel.aidl
index c4812ed..c720d6d 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/SecurityLevel.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/SecurityLevel.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
@@ -22,4 +36,5 @@
   SOFTWARE = 0,
   TRUSTED_ENVIRONMENT = 1,
   STRONGBOX = 2,
+  KEYSTORE = 100,
 }
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Tag.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Tag.aidl
index a6be6b1..03982e3 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Tag.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/Tag.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
@@ -80,4 +94,8 @@
   MAC_LENGTH = 805307371,
   RESET_SINCE_ID_ROTATION = 1879049196,
   CONFIRMATION_TOKEN = -1879047187,
+  CERTIFICATE_SERIAL = -2147482642,
+  CERTIFICATE_SUBJECT = -1879047185,
+  CERTIFICATE_NOT_BEFORE = 1610613744,
+  CERTIFICATE_NOT_AFTER = 1610613745,
 }
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/TagType.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/TagType.aidl
index 41c8832..75a19a3 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/TagType.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/TagType.aidl
@@ -1,4 +1,18 @@
-///////////////////////////////////////////////////////////////////////////////
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *////////////////////////////////////////////////////////////////////////////////
 // THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
 ///////////////////////////////////////////////////////////////////////////////
 
diff --git a/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl b/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl
index b20601d..35e3827 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl
@@ -42,7 +42,7 @@
     INVALID_AUTHORIZATION_TIMEOUT = -16,
     UNSUPPORTED_KEY_FORMAT = -17,
     INCOMPATIBLE_KEY_FORMAT = -18,
-    UNSUPPORTED_KEY_ENCRYPTION_ALGORITHM = -19,   /** For PKCS8 & PKCS12 */
+    UNSUPPORTED_KEY_ENCRYPTION_ALGORITHM = -19, /** For PKCS8 & PKCS12 */
     UNSUPPORTED_KEY_VERIFICATION_ALGORITHM = -20, /** For PKCS8 & PKCS12 */
     INVALID_INPUT_LENGTH = -21,
     KEY_EXPORT_OPTIONS_INVALID = -22,
@@ -101,6 +101,8 @@
     STORAGE_KEY_UNSUPPORTED = -77,
     INCOMPATIBLE_MGF_DIGEST = -78,
     UNSUPPORTED_MGF_DIGEST = -79,
+    MISSING_NOT_BEFORE = -80,
+    MISSING_NOT_AFTER = -81,
 
     UNIMPLEMENTED = -100,
     VERSION_MISMATCH = -101,
diff --git a/security/keymint/aidl/android/hardware/security/keymint/KeyCreationResult.aidl b/security/keymint/aidl/android/hardware/security/keymint/KeyCreationResult.aidl
index b149ac9..69bec2d7 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/KeyCreationResult.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/KeyCreationResult.aidl
@@ -36,7 +36,6 @@
      * deciding whether a given tag from `keyParams` argument to the generation/import method should
      * be returned in `keyCharacteristics` are:
      *
-     * - If the IKeyMintDevice cannot fully enforce the semantics of the tag, it should be omitted.
      * - If the semantics of the tag are fully enforced by the IKeyMintDevice, without any
      *   assistance from components running at other security levels, it should be included in an
      *   entry with the SecurityLevel of the IKeyMintDevice.
@@ -45,6 +44,9 @@
      *   SecurityLevel of the involved components.  For example if a StrongBox IKeyMintDevice relies
      *   on a TEE to validate biometric authentication, biometric authentication tags go in an entry
      *   with SecurityLevel::TRUSTED_ENVIRONMENT.
+     * - If the semantics are not enforced by KeyMint at all, SecurityLevel::KEYSTORE is used to
+     *   indicate that Keystore should enforce.  Note that in Keymaster (predecessor to KeyMint),
+     *   these tags would have been in SecurityLevel::SOFTWARE.
      */
     KeyCharacteristics[] keyCharacteristics;
 
diff --git a/security/keymint/aidl/android/hardware/security/keymint/KeyMintHardwareInfo.aidl b/security/keymint/aidl/android/hardware/security/keymint/KeyMintHardwareInfo.aidl
index d3d7368..1a107ba 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/KeyMintHardwareInfo.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/KeyMintHardwareInfo.aidl
@@ -22,6 +22,7 @@
  * KeyMintHardwareInfo is the hardware information returned by calling KeyMint getHardwareInfo()
  */
 @VintfStability
+@RustDerive(Clone=true, Eq=true, PartialEq=true, Ord=true, PartialOrd=true, Hash=true)
 parcelable KeyMintHardwareInfo {
     /**
      * Implementation version of the keymint hardware.  The version number is implementation
diff --git a/security/keymint/aidl/android/hardware/security/keymint/SecurityLevel.aidl b/security/keymint/aidl/android/hardware/security/keymint/SecurityLevel.aidl
index 10363e9..c63859c 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/SecurityLevel.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/SecurityLevel.aidl
@@ -17,16 +17,59 @@
 package android.hardware.security.keymint;
 
 /**
- * Device security levels.
+ * Device security levels.  These enum values are used in two ways:
+ *
+ * 1.  Returned from IKeyMintDevice::getHardwareInfo to identify the security level of the
+ *     IKeyMintDevice.  This characterizes the sort of environment in which the KeyMint
+ *     implementation runs, and therefore the security of its operations.
+ *
+ * 2.  Associated with individual KeyMint authorization Tags in KeyCharacteristics or in attestation
+ *     certificates.  This specifies the security level of the weakest environment involved in
+ *     enforcing that particular tag, i.e. the sort of security environment an attacker would have
+ *     to subvert in order to break the enforcement of that tag.
  */
 @VintfStability
 @Backing(type="int")
 enum SecurityLevel {
+    /**
+     * The SOFTWARE security level represents a KeyMint implementation that runs in an Android
+     * process, or a tag enforced by such an implementation.  An attacker who can compromise that
+     * process, or obtain root, or subvert the kernel on the device can defeat it.
+     *
+     * Note that the distinction between SOFTWARE and KEYSTORE is only relevant on-device.  For
+     * attestation purposes, these categories are combined into the software-enforced authorization
+     * list.
+     */
     SOFTWARE = 0,
+
+    /**
+     * The TRUSTED_ENVIRONMENT security level represents a KeyMint implementation that runs in an
+     * Android process, or a tag enforced by such an implementation.  An attacker who completely
+     * compromises Android, including the Linux kernel, does not have the ability to subvert it.  At
+     * attacker who can find an exploit that gains them control of the trusted environment, or who
+     * has access to the physical device and can mount a sophisticated hardware attack, may be able
+     * to defeat it.
+     */
     TRUSTED_ENVIRONMENT = 1,
     /**
-     * STRONGBOX specifies that the secure hardware satisfies the requirements specified in CDD
-     * 9.11.2.
+     * The STRONGBOX security level represents a KeyMint implementation that runs in security
+     * hardware that satisfies the requirements specified in CDD 9.11.2.  Roughly speaking, these
+     * are discrete, security-focus computing environments that are hardened against physical and
+     * side channel attack, and have had their security formally validated by a competent
+     * penetration testing lab.
      */
     STRONGBOX = 2,
+
+    /**
+     * KeyMint implementations must never return the KEYSTORE security level from getHardwareInfo.
+     * It is used to specify tags that are not enforced by the IKeyMintDevice, but are instead
+     * to be enforced by Keystore.  An attacker who can subvert the keystore process or gain root or
+     * subvert the kernel can prevent proper enforcement of these tags.
+     *
+     *
+     * Note that the distinction between SOFTWARE and KEYSTORE is only relevant on-device.  When
+     * KeyMint generates an attestation certificate, these categories are combined into the
+     * software-enforced authorization list.
+     */
+    KEYSTORE = 100
 }
diff --git a/security/keymint/aidl/android/hardware/security/keymint/Tag.aidl b/security/keymint/aidl/android/hardware/security/keymint/Tag.aidl
index bc07235..4f58cbe 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/Tag.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/Tag.aidl
@@ -27,7 +27,7 @@
  * data are stored in KeyParameter.
  */
 @VintfStability
-@Backing(type = "int")
+@Backing(type="int")
 enum Tag {
     /**
      * Tag::INVALID should never be set.  It means you hit an error.
@@ -82,7 +82,6 @@
      */
     BLOCK_MODE = (2 << 28) /* TagType:ENUM_REP */ | 4,
 
-
     /**
      * Tag::DIGEST specifies the digest algorithms that may be used with the key to perform signing
      * and verification operations.  This tag is relevant to RSA, ECDSA and HMAC keys.  Possible
@@ -187,21 +186,21 @@
      */
     INCLUDE_UNIQUE_ID = (7 << 28) /* TagType:BOOL */ | 202,
 
-     /**
-      * Tag::RSA_OAEP_MGF_DIGEST specifies the MGF1 digest algorithms that may be used with
-      * RSA encryption/decryption with OAEP padding. If the key characteristics supports OAEP
-      * and this tag is absent then SHA1 digest is selected by default for MGF1.
-      *
-      * This tag is repeatable for key generation/import.  If this tag is present in the key
-      * characteristics with one or more values from @4.0::Digest, then for RSA cipher
-      * operations with OAEP Padding, the caller must specify a digest in the additionalParams
-      * argument of begin operation. If this tag is missing or the specified digest is not in
-      * the digests associated with the key then begin operation must fail with
-      * ErrorCode::INCOMPATIBLE_MGF_DIGEST.
-      *
-      * Must be hardware-enforced.
-      */
-     RSA_OAEP_MGF_DIGEST = (2 << 28) /* TagType:ENUM_REP */ | 203,
+    /**
+     * Tag::RSA_OAEP_MGF_DIGEST specifies the MGF1 digest algorithms that may be used with
+     * RSA encryption/decryption with OAEP padding. If the key characteristics supports OAEP
+     * and this tag is absent then SHA1 digest is selected by default for MGF1.
+     *
+     * This tag is repeatable for key generation/import.  If this tag is present in the key
+     * characteristics with one or more values from @4.0::Digest, then for RSA cipher
+     * operations with OAEP Padding, the caller must specify a digest in the additionalParams
+     * argument of begin operation. If this tag is missing or the specified digest is not in
+     * the digests associated with the key then begin operation must fail with
+     * ErrorCode::INCOMPATIBLE_MGF_DIGEST.
+     *
+     * Must be hardware-enforced.
+     */
+    RSA_OAEP_MGF_DIGEST = (2 << 28) /* TagType:ENUM_REP */ | 203,
 
     /**
      * TODO(seleneh) this tag needs to be deleted from all codes.
@@ -346,14 +345,14 @@
      * At this point, if the caller specifies count > 1, it is not expected that any TEE will be
      * able to enforce this feature in the hardware due to limited resources of secure
      * storage. In this case, the tag with the value of maximum usage must be added to the key
-     * characteristics with SecurityLevel::SOFTWARE by the IKeyMintDevice.
+     * characteristics with SecurityLevel::KEYSTORE by the IKeyMintDevice.
      *
      * On the other hand, if the caller specifies count = 1, some TEEs may have the ability
      * to enforce this feature in the hardware with its secure storage. If the IKeyMintDevice
      * implementation can enforce this feature, the tag with value = 1 must be added to the key
      * characteristics with the SecurityLevel of the IKeyMintDevice. If the IKeyMintDevice can't
      * enforce this feature even when the count = 1, the tag must be added to the key
-     * characteristics with the SecurityLevel::SOFTWARE.
+     * characteristics with the SecurityLevel::KEYSTORE.
      *
      * When the key is attested, this tag with the same value must also be added to the attestation
      * record. This tag must have the same SecurityLevel as the tag that is added to the key
@@ -497,7 +496,8 @@
      */
     TRUSTED_USER_PRESENCE_REQUIRED = (7 << 28) /* TagType:BOOL */ | 507,
 
-    /** Tag::TRUSTED_CONFIRMATION_REQUIRED is only applicable to keys with KeyPurpose SIGN, and
+    /**
+     * Tag::TRUSTED_CONFIRMATION_REQUIRED is only applicable to keys with KeyPurpose SIGN, and
      *  specifies that this key must not be usable unless the user provides confirmation of the data
      *  to be signed.  Confirmation is proven to keyMint via an approval token.  See
      *  CONFIRMATION_TOKEN, as well as the ConfirmatinUI HAL.
@@ -933,4 +933,35 @@
      * Must never appear in KeyCharacteristics.
      */
     CONFIRMATION_TOKEN = (9 << 28) /* TagType:BYTES */ | 1005,
+
+    /**
+     * Tag::CERTIFICATE_SERIAL specifies the serial number to be assigned to the
+     * attestation certificate to be generated for the given key.  This parameter should only
+     * be passed to keyMint in the attestation parameters during generateKey() and importKey().
+     */
+    CERTIFICATE_SERIAL = (8 << 28) /* TagType:BIGNUM */ | 1006,
+
+    /**
+     * Tag::CERTIFICATE_SUBJECT the certificate subject. The value is a DER encoded X509 NAME.
+     * This value is used when generating a self signed certificates. This tag may be specified
+     * during generateKey and importKey. If not provided the subject name shall default to
+     * <TODO default subject here>.
+     */
+    CERTIFICATE_SUBJECT = (9 << 28) /* TagType:BYTES */ | 1007,
+
+    /**
+     * Tag::CERTIFICATE_NOT_BEFORE the beginning of the validity of the certificate in UNIX epoch
+     * time in seconds. This value is used when generating attestation or self signed certificates.
+     * ErrorCode::MISSING_NOT_BEFORE must be returned if this tag is not provided if this tag is
+     * not provided to generateKey or importKey.
+     */
+    CERTIFICATE_NOT_BEFORE = (6 << 28) /* TagType:DATE */ | 1008,
+
+    /**
+     * Tag::CERTIFICATE_NOT_AFTER the end of the validity of the certificate in UNIX epoch
+     * time in seconds. This value is used when generating attestation or self signed certificates.
+     * ErrorCode::MISSING_NOT_AFTER must be returned if this tag is not provided to generateKey
+     * or importKey.
+     */
+    CERTIFICATE_NOT_AFTER = (6 << 28) /* TagType:DATE */ | 1009,
 }
diff --git a/security/keymint/aidl/default/Android.bp b/security/keymint/aidl/default/Android.bp
index 79697c4..b2758ad 100644
--- a/security/keymint/aidl/default/Android.bp
+++ b/security/keymint/aidl/default/Android.bp
@@ -9,7 +9,7 @@
         "-Wextra",
     ],
     shared_libs: [
-        "android.hardware.security.keymint-unstable-ndk_platform",
+        "android.hardware.security.keymint-V1-ndk_platform",
         "libbase",
         "libbinder_ndk",
         "libcppbor",
diff --git a/security/keymint/aidl/vts/functional/Android.bp b/security/keymint/aidl/vts/functional/Android.bp
index 17a4613..f4ba9e7 100644
--- a/security/keymint/aidl/vts/functional/Android.bp
+++ b/security/keymint/aidl/vts/functional/Android.bp
@@ -30,8 +30,8 @@
         "libkeymint_support",
     ],
     static_libs: [
-        "android.hardware.security.keymint-unstable-ndk_platform",
-        "android.hardware.security.secureclock-unstable-ndk_platform",
+        "android.hardware.security.keymint-V1-ndk_platform",
+        "android.hardware.security.secureclock-V1-ndk_platform",
         "libcppbor_external",
         "libkeymint_vts_test_utils",
     ],
@@ -60,8 +60,8 @@
         "libkeymint_support",
     ],
     static_libs: [
-        "android.hardware.security.keymint-unstable-ndk_platform",
-        "android.hardware.security.secureclock-unstable-ndk_platform",
+        "android.hardware.security.keymint-V1-ndk_platform",
+        "android.hardware.security.secureclock-V1-ndk_platform",
         "libcppbor",
     ],
 }
diff --git a/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.cpp b/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.cpp
index 766c02d..6555157 100644
--- a/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.cpp
+++ b/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.cpp
@@ -55,6 +55,9 @@
     for (auto& entry : key_characteristics) {
         if (entry.authorizations.empty()) return false;
 
+        // Just ignore the SecurityLevel::KEYSTORE as the KM won't do any enforcement on this.
+        if (entry.securityLevel == SecurityLevel::KEYSTORE) continue;
+
         if (levels_seen.find(entry.securityLevel) != levels_seen.end()) return false;
         levels_seen.insert(entry.securityLevel);
 
@@ -824,22 +827,36 @@
     return (found == key_characteristics.end()) ? kEmptyAuthList : found->authorizations;
 }
 
-const vector<KeyParameter>& KeyMintAidlTestBase::HwEnforcedAuthorizations(
-        const vector<KeyCharacteristics>& key_characteristics) {
-    auto found =
-            std::find_if(key_characteristics.begin(), key_characteristics.end(), [](auto& entry) {
-                return entry.securityLevel == SecurityLevel::STRONGBOX ||
-                       entry.securityLevel == SecurityLevel::TRUSTED_ENVIRONMENT;
-            });
+const vector<KeyParameter>& KeyMintAidlTestBase::SecLevelAuthorizations(
+        const vector<KeyCharacteristics>& key_characteristics, SecurityLevel securityLevel) {
+    auto found = std::find_if(
+            key_characteristics.begin(), key_characteristics.end(),
+            [securityLevel](auto& entry) { return entry.securityLevel == securityLevel; });
     return (found == key_characteristics.end()) ? kEmptyAuthList : found->authorizations;
 }
 
-const vector<KeyParameter>& KeyMintAidlTestBase::SwEnforcedAuthorizations(
+AuthorizationSet KeyMintAidlTestBase::HwEnforcedAuthorizations(
         const vector<KeyCharacteristics>& key_characteristics) {
-    auto found = std::find_if(
-            key_characteristics.begin(), key_characteristics.end(),
-            [](auto& entry) { return entry.securityLevel == SecurityLevel::SOFTWARE; });
-    return (found == key_characteristics.end()) ? kEmptyAuthList : found->authorizations;
+    AuthorizationSet authList;
+    for (auto& entry : key_characteristics) {
+        if (entry.securityLevel == SecurityLevel::STRONGBOX ||
+            entry.securityLevel == SecurityLevel::TRUSTED_ENVIRONMENT) {
+            authList.push_back(AuthorizationSet(entry.authorizations));
+        }
+    }
+    return authList;
+}
+
+AuthorizationSet KeyMintAidlTestBase::SwEnforcedAuthorizations(
+        const vector<KeyCharacteristics>& key_characteristics) {
+    AuthorizationSet authList;
+    for (auto& entry : key_characteristics) {
+        if (entry.securityLevel == SecurityLevel::SOFTWARE ||
+            entry.securityLevel == SecurityLevel::KEYSTORE) {
+            authList.push_back(AuthorizationSet(entry.authorizations));
+        }
+    }
+    return authList;
 }
 
 }  // namespace test
diff --git a/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h b/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h
index c1a1dd9..780971d 100644
--- a/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h
+++ b/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h
@@ -175,9 +175,12 @@
     inline const vector<KeyParameter>& SecLevelAuthorizations() {
         return SecLevelAuthorizations(key_characteristics_);
     }
-    const vector<KeyParameter>& HwEnforcedAuthorizations(
+    const vector<KeyParameter>& SecLevelAuthorizations(
+            const vector<KeyCharacteristics>& key_characteristics, SecurityLevel securityLevel);
+
+    AuthorizationSet HwEnforcedAuthorizations(
             const vector<KeyCharacteristics>& key_characteristics);
-    const vector<KeyParameter>& SwEnforcedAuthorizations(
+    AuthorizationSet SwEnforcedAuthorizations(
             const vector<KeyCharacteristics>& key_characteristics);
 
   private:
diff --git a/security/keymint/aidl/vts/functional/KeyMintTest.cpp b/security/keymint/aidl/vts/functional/KeyMintTest.cpp
index c876440..c849bad 100644
--- a/security/keymint/aidl/vts/functional/KeyMintTest.cpp
+++ b/security/keymint/aidl/vts/functional/KeyMintTest.cpp
@@ -646,6 +646,61 @@
 }
 
 /*
+ * NewKeyGenerationTest.LimitedUsageRsaWithAttestation
+ *
+ * Verifies that KeyMint can generate all required RSA key sizes with limited usage, and that the
+ * resulting keys have correct characteristics and attestation.
+ */
+TEST_P(NewKeyGenerationTest, LimitedUsageRsaWithAttestation) {
+    for (auto key_size : ValidKeySizes(Algorithm::RSA)) {
+        auto challenge = "hello";
+        auto app_id = "foo";
+
+        vector<uint8_t> key_blob;
+        vector<KeyCharacteristics> key_characteristics;
+        ASSERT_EQ(ErrorCode::OK, GenerateKey(AuthorizationSetBuilder()
+                                                     .RsaSigningKey(key_size, 65537)
+                                                     .Digest(Digest::NONE)
+                                                     .Padding(PaddingMode::NONE)
+                                                     .AttestationChallenge(challenge)
+                                                     .AttestationApplicationId(app_id)
+                                                     .Authorization(TAG_NO_AUTH_REQUIRED)
+                                                     .Authorization(TAG_USAGE_COUNT_LIMIT, 1),
+                                             &key_blob, &key_characteristics));
+
+        ASSERT_GT(key_blob.size(), 0U);
+        CheckBaseParams(key_characteristics);
+
+        AuthorizationSet crypto_params = SecLevelAuthorizations(key_characteristics);
+
+        EXPECT_TRUE(crypto_params.Contains(TAG_ALGORITHM, Algorithm::RSA));
+        EXPECT_TRUE(crypto_params.Contains(TAG_KEY_SIZE, key_size))
+                << "Key size " << key_size << "missing";
+        EXPECT_TRUE(crypto_params.Contains(TAG_RSA_PUBLIC_EXPONENT, 65537U));
+
+        // Check the usage count limit tag appears in the authorizations.
+        AuthorizationSet auths;
+        for (auto& entry : key_characteristics) {
+            auths.push_back(AuthorizationSet(entry.authorizations));
+        }
+        EXPECT_TRUE(auths.Contains(TAG_USAGE_COUNT_LIMIT, 1U))
+                << "key usage count limit " << 1U << " missing";
+
+        // Check the usage count limit tag also appears in the attestation.
+        EXPECT_TRUE(verify_chain(cert_chain_));
+        ASSERT_GT(cert_chain_.size(), 0);
+
+        AuthorizationSet hw_enforced = HwEnforcedAuthorizations(key_characteristics);
+        AuthorizationSet sw_enforced = SwEnforcedAuthorizations(key_characteristics);
+        EXPECT_TRUE(verify_attestation_record(challenge, app_id,  //
+                                              sw_enforced, hw_enforced, SecLevel(),
+                                              cert_chain_[0].encodedCertificate));
+
+        CheckedDeleteKey(&key_blob);
+    }
+}
+
+/*
  * NewKeyGenerationTest.NoInvalidRsaSizes
  *
  * Verifies that keymint cannot generate any RSA key sizes that are designated as invalid.
@@ -4297,11 +4352,11 @@
 typedef KeyMintAidlTestBase UsageCountLimitTest;
 
 /*
- * UsageCountLimitTest.TestLimitAes
+ * UsageCountLimitTest.TestSingleUseAes
  *
- * Verifies that the usage count limit tag works correctly with AES keys.
+ * Verifies that the usage count limit tag = 1 works correctly with AES keys.
  */
-TEST_P(UsageCountLimitTest, TestLimitAes) {
+TEST_P(UsageCountLimitTest, TestSingleUseAes) {
     if (SecLevel() == SecurityLevel::STRONGBOX) return;
 
     ASSERT_EQ(ErrorCode::OK, GenerateKey(AuthorizationSetBuilder()
@@ -4322,31 +4377,75 @@
     string message = "1234567890123456";
     auto params = AuthorizationSetBuilder().EcbMode().Padding(PaddingMode::NONE);
 
+    AuthorizationSet hardware_auths = HwEnforcedAuthorizations(key_characteristics_);
+    AuthorizationSet keystore_auths =
+            SecLevelAuthorizations(key_characteristics_, SecurityLevel::KEYSTORE);
+
     // First usage of AES key should work.
     EncryptMessage(message, params);
 
-    AuthorizationSet hardware_auths;
-    for (auto& entry : key_characteristics_) {
-        if (entry.securityLevel != SecurityLevel::SOFTWARE) {
-            auths.push_back(AuthorizationSet(entry.authorizations));
-        }
-    }
     if (hardware_auths.Contains(TAG_USAGE_COUNT_LIMIT, 1U)) {
         // Usage count limit tag is enforced by hardware. After using the key, the key blob
         // must be invalidated from secure storage (such as RPMB partition).
         EXPECT_EQ(ErrorCode::INVALID_KEY_BLOB, Begin(KeyPurpose::ENCRYPT, params));
     } else {
-        // Usage count limit tag is enforced by software, keymint does nothing.
+        // Usage count limit tag is enforced by keystore, keymint does nothing.
+        EXPECT_TRUE(keystore_auths.Contains(TAG_USAGE_COUNT_LIMIT, 1U));
         EXPECT_EQ(ErrorCode::OK, Begin(KeyPurpose::ENCRYPT, params));
     }
 }
 
 /*
- * UsageCountLimitTest.TestLimitRsa
+ * UsageCountLimitTest.TestLimitedUseAes
  *
- * Verifies that the usage count limit tag works correctly with RSA keys.
+ * Verifies that the usage count limit tag > 1 works correctly with AES keys.
  */
-TEST_P(UsageCountLimitTest, TestLimitRsa) {
+TEST_P(UsageCountLimitTest, TestLimitedUseAes) {
+    if (SecLevel() == SecurityLevel::STRONGBOX) return;
+
+    ASSERT_EQ(ErrorCode::OK, GenerateKey(AuthorizationSetBuilder()
+                                                 .Authorization(TAG_NO_AUTH_REQUIRED)
+                                                 .AesEncryptionKey(128)
+                                                 .EcbMode()
+                                                 .Padding(PaddingMode::NONE)
+                                                 .Authorization(TAG_USAGE_COUNT_LIMIT, 3)));
+
+    // Check the usage count limit tag appears in the authorizations.
+    AuthorizationSet auths;
+    for (auto& entry : key_characteristics_) {
+        auths.push_back(AuthorizationSet(entry.authorizations));
+    }
+    EXPECT_TRUE(auths.Contains(TAG_USAGE_COUNT_LIMIT, 3U))
+            << "key usage count limit " << 3U << " missing";
+
+    string message = "1234567890123456";
+    auto params = AuthorizationSetBuilder().EcbMode().Padding(PaddingMode::NONE);
+
+    AuthorizationSet hardware_auths = HwEnforcedAuthorizations(key_characteristics_);
+    AuthorizationSet keystore_auths =
+            SecLevelAuthorizations(key_characteristics_, SecurityLevel::KEYSTORE);
+
+    EncryptMessage(message, params);
+    EncryptMessage(message, params);
+    EncryptMessage(message, params);
+
+    if (hardware_auths.Contains(TAG_USAGE_COUNT_LIMIT, 3U)) {
+        // Usage count limit tag is enforced by hardware. After using the key, the key blob
+        // must be invalidated from secure storage (such as RPMB partition).
+        EXPECT_EQ(ErrorCode::INVALID_KEY_BLOB, Begin(KeyPurpose::ENCRYPT, params));
+    } else {
+        // Usage count limit tag is enforced by keystore, keymint does nothing.
+        EXPECT_TRUE(keystore_auths.Contains(TAG_USAGE_COUNT_LIMIT, 3U));
+        EXPECT_EQ(ErrorCode::OK, Begin(KeyPurpose::ENCRYPT, params));
+    }
+}
+
+/*
+ * UsageCountLimitTest.TestSingleUseRsa
+ *
+ * Verifies that the usage count limit tag = 1 works correctly with RSA keys.
+ */
+TEST_P(UsageCountLimitTest, TestSingleUseRsa) {
     if (SecLevel() == SecurityLevel::STRONGBOX) return;
 
     ASSERT_EQ(ErrorCode::OK, GenerateKey(AuthorizationSetBuilder()
@@ -4366,22 +4465,64 @@
     string message = "1234567890123456";
     auto params = AuthorizationSetBuilder().NoDigestOrPadding();
 
+    AuthorizationSet hardware_auths = HwEnforcedAuthorizations(key_characteristics_);
+    AuthorizationSet keystore_auths =
+            SecLevelAuthorizations(key_characteristics_, SecurityLevel::KEYSTORE);
+
     // First usage of RSA key should work.
     SignMessage(message, params);
 
-    AuthorizationSet hardware_auths;
-    for (auto& entry : key_characteristics_) {
-        if (entry.securityLevel != SecurityLevel::SOFTWARE) {
-            auths.push_back(AuthorizationSet(entry.authorizations));
-        }
-    }
-
     if (hardware_auths.Contains(TAG_USAGE_COUNT_LIMIT, 1U)) {
         // Usage count limit tag is enforced by hardware. After using the key, the key blob
         // must be invalidated from secure storage (such as RPMB partition).
         EXPECT_EQ(ErrorCode::INVALID_KEY_BLOB, Begin(KeyPurpose::SIGN, params));
     } else {
-        // Usage count limit tag is enforced by software, keymint does nothing.
+        // Usage count limit tag is enforced by keystore, keymint does nothing.
+        EXPECT_TRUE(keystore_auths.Contains(TAG_USAGE_COUNT_LIMIT, 1U));
+        EXPECT_EQ(ErrorCode::OK, Begin(KeyPurpose::SIGN, params));
+    }
+}
+
+/*
+ * UsageCountLimitTest.TestLimitUseRsa
+ *
+ * Verifies that the usage count limit tag > 1 works correctly with RSA keys.
+ */
+TEST_P(UsageCountLimitTest, TestLimitUseRsa) {
+    if (SecLevel() == SecurityLevel::STRONGBOX) return;
+
+    ASSERT_EQ(ErrorCode::OK, GenerateKey(AuthorizationSetBuilder()
+                                                 .Authorization(TAG_NO_AUTH_REQUIRED)
+                                                 .RsaSigningKey(1024, 65537)
+                                                 .NoDigestOrPadding()
+                                                 .Authorization(TAG_USAGE_COUNT_LIMIT, 3)));
+
+    // Check the usage count limit tag appears in the authorizations.
+    AuthorizationSet auths;
+    for (auto& entry : key_characteristics_) {
+        auths.push_back(AuthorizationSet(entry.authorizations));
+    }
+    EXPECT_TRUE(auths.Contains(TAG_USAGE_COUNT_LIMIT, 3U))
+            << "key usage count limit " << 3U << " missing";
+
+    string message = "1234567890123456";
+    auto params = AuthorizationSetBuilder().NoDigestOrPadding();
+
+    AuthorizationSet hardware_auths = HwEnforcedAuthorizations(key_characteristics_);
+    AuthorizationSet keystore_auths =
+            SecLevelAuthorizations(key_characteristics_, SecurityLevel::KEYSTORE);
+
+    SignMessage(message, params);
+    SignMessage(message, params);
+    SignMessage(message, params);
+
+    if (hardware_auths.Contains(TAG_USAGE_COUNT_LIMIT, 3U)) {
+        // Usage count limit tag is enforced by hardware. After using the key, the key blob
+        // must be invalidated from secure storage (such as RPMB partition).
+        EXPECT_EQ(ErrorCode::INVALID_KEY_BLOB, Begin(KeyPurpose::SIGN, params));
+    } else {
+        // Usage count limit tag is enforced by keystore, keymint does nothing.
+        EXPECT_TRUE(keystore_auths.Contains(TAG_USAGE_COUNT_LIMIT, 3U));
         EXPECT_EQ(ErrorCode::OK, Begin(KeyPurpose::SIGN, params));
     }
 }
diff --git a/security/keymint/support/Android.bp b/security/keymint/support/Android.bp
index 0cfa798..fde6b57 100644
--- a/security/keymint/support/Android.bp
+++ b/security/keymint/support/Android.bp
@@ -31,7 +31,7 @@
         "include",
     ],
     shared_libs: [
-        "android.hardware.security.keymint-unstable-ndk_platform",
+        "android.hardware.security.keymint-V1-ndk_platform",
         "libbase",
         "libcrypto",
         "libutils",
diff --git a/security/keymint/support/attestation_record.cpp b/security/keymint/support/attestation_record.cpp
index 596b097..a48f770 100644
--- a/security/keymint/support/attestation_record.cpp
+++ b/security/keymint/support/attestation_record.cpp
@@ -97,6 +97,7 @@
     ASN1_NULL* device_unique_attestation;
     ASN1_NULL* storage_key;
     ASN1_NULL* identity_credential;
+    ASN1_INTEGER* usage_count_limit;
 } KM_AUTH_LIST;
 
 ASN1_SEQUENCE(KM_AUTH_LIST) = {
@@ -143,7 +144,8 @@
         ASN1_EXP_OPT(KM_AUTH_LIST, storage_key, ASN1_NULL, TAG_STORAGE_KEY.maskedTag()),
         ASN1_EXP_OPT(KM_AUTH_LIST, identity_credential, ASN1_NULL,
                      TAG_IDENTITY_CREDENTIAL_KEY.maskedTag()),
-
+        ASN1_EXP_OPT(KM_AUTH_LIST, usage_count_limit, ASN1_INTEGER,
+                     TAG_USAGE_COUNT_LIMIT.maskedTag()),
 } ASN1_SEQUENCE_END(KM_AUTH_LIST);
 IMPLEMENT_ASN1_FUNCTIONS(KM_AUTH_LIST);
 
@@ -285,6 +287,7 @@
     copyAuthTag(record->device_unique_attestation, TAG_DEVICE_UNIQUE_ATTESTATION, auth_list);
     copyAuthTag(record->storage_key, TAG_STORAGE_KEY, auth_list);
     copyAuthTag(record->identity_credential, TAG_IDENTITY_CREDENTIAL_KEY, auth_list);
+    copyAuthTag(record->usage_count_limit, TAG_USAGE_COUNT_LIMIT, auth_list);
 
     return ErrorCode::OK;
 }
diff --git a/security/keymint/support/include/keymint_support/keymint_tags.h b/security/keymint/support/include/keymint_support/keymint_tags.h
index 8d2fe28..479a11d 100644
--- a/security/keymint/support/include/keymint_support/keymint_tags.h
+++ b/security/keymint/support/include/keymint_support/keymint_tags.h
@@ -126,6 +126,10 @@
 DECLARE_TYPED_TAG(USER_SECURE_ID);
 DECLARE_TYPED_TAG(VENDOR_PATCHLEVEL);
 DECLARE_TYPED_TAG(RSA_OAEP_MGF_DIGEST);
+DECLARE_TYPED_TAG(CERTIFICATE_SERIAL);
+DECLARE_TYPED_TAG(CERTIFICATE_SUBJECT);
+DECLARE_TYPED_TAG(CERTIFICATE_NOT_BEFORE);
+DECLARE_TYPED_TAG(CERTIFICATE_NOT_AFTER);
 
 #undef DECLARE_TYPED_TAG
 
@@ -326,7 +330,9 @@
 inline std::optional<
         std::reference_wrapper<const typename TypedTag2ValueType<TypedTag<tag_type, tag>>::type>>
 authorizationValue(TypedTag<tag_type, tag> ttag, const KeyParameter& param) {
-    if (TypedTag2ValueType<TypedTag<tag_type, tag>>::unionTag != param.value.getTag()) return {};
+    // We only check if the parameter has the correct tag here; accessTagValue checks if the correct
+    // union field was initialized.
+    if (tag != param.tag) return {};
     return accessTagValue(ttag, param);
 }
 
diff --git a/sensors/common/default/2.X/Sensor.cpp b/sensors/common/default/2.X/Sensor.cpp
index 642fc89..1a7c628 100644
--- a/sensors/common/default/2.X/Sensor.cpp
+++ b/sensors/common/default/2.X/Sensor.cpp
@@ -313,7 +313,7 @@
     mSensorInfo.maxRange = 1000.0f * M_PI / 180.0f;
     mSensorInfo.resolution = 1000.0f * M_PI / (180.0f * 32768.0f);
     mSensorInfo.power = 0.001f;
-    mSensorInfo.minDelay = 2.5f * 1000;  // microseconds
+    mSensorInfo.minDelay = 10 * 1000;  // microseconds
     mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
diff --git a/tests/extension/vibrator/aidl/client/Android.bp b/tests/extension/vibrator/aidl/client/Android.bp
index b0d8238..108d000 100644
--- a/tests/extension/vibrator/aidl/client/Android.bp
+++ b/tests/extension/vibrator/aidl/client/Android.bp
@@ -14,11 +14,11 @@
     shared_libs: [
         "libbinder",
         "libutils",
-        "android.hardware.vibrator-cpp",
-        "android.hardware.tests.extension.vibrator-cpp",
+        "android.hardware.vibrator-V1-cpp",
+        "android.hardware.tests.extension.vibrator-V1-cpp",
 
         "libbinder_ndk",
-        "android.hardware.vibrator-ndk_platform",
-        "android.hardware.tests.extension.vibrator-ndk_platform",
+        "android.hardware.vibrator-V1-ndk_platform",
+        "android.hardware.tests.extension.vibrator-V1-ndk_platform",
     ],
 }
diff --git a/tests/extension/vibrator/aidl/default/Android.bp b/tests/extension/vibrator/aidl/default/Android.bp
index 80f7727..2486588 100644
--- a/tests/extension/vibrator/aidl/default/Android.bp
+++ b/tests/extension/vibrator/aidl/default/Android.bp
@@ -19,7 +19,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.vibrator-unstable-ndk_platform",
-        "android.hardware.tests.extension.vibrator-unstable-ndk_platform",
+        "android.hardware.vibrator-V2-ndk_platform",
+        "android.hardware.tests.extension.vibrator-V2-ndk_platform",
     ],
 }
diff --git a/tests/msgq/1.0/default/Android.bp b/tests/msgq/1.0/default/Android.bp
index a50206b..a0d6f31 100644
--- a/tests/msgq/1.0/default/Android.bp
+++ b/tests/msgq/1.0/default/Android.bp
@@ -91,8 +91,8 @@
     // These are static libs only for testing purposes and portability. Shared
     // libs should be used on device.
     static_libs: [
-        "android.hardware.common-unstable-ndk_platform",
-        "android.hardware.common.fmq-unstable-ndk_platform",
+        "android.hardware.common-V2-ndk_platform",
+        "android.hardware.common.fmq-V1-ndk_platform",
         "android.hardware.tests.msgq@1.0",
         "android.fmq.test-ndk_platform",
     ],
diff --git a/tetheroffload/control/1.0/vts/functional/Android.bp b/tetheroffload/control/1.0/vts/functional/Android.bp
index c397df4..ddf3826 100644
--- a/tetheroffload/control/1.0/vts/functional/Android.bp
+++ b/tetheroffload/control/1.0/vts/functional/Android.bp
@@ -30,3 +30,17 @@
         "vts",
     ],
 }
+
+cc_test_library {
+    name: "VtsHalTetheroffloadControlV1_0TargetTest-lib",
+    defaults: ["VtsHalTargetTestDefaults"],
+    export_include_dirs: ["include"],
+    static_libs: [
+        "android.hardware.tetheroffload.config@1.0",
+        "android.hardware.tetheroffload.control@1.0",
+    ],
+    srcs: [
+        "OffloadControlTestBase.cpp",
+        "OffloadControlTestUtils.cpp",
+    ],
+}
diff --git a/tetheroffload/control/1.0/vts/functional/OffloadControlTestBase.cpp b/tetheroffload/control/1.0/vts/functional/OffloadControlTestBase.cpp
index bd0dad7..e392e96 100644
--- a/tetheroffload/control/1.0/vts/functional/OffloadControlTestBase.cpp
+++ b/tetheroffload/control/1.0/vts/functional/OffloadControlTestBase.cpp
@@ -53,29 +53,6 @@
     ASSERT_TRUE(ret.isOk());
 }
 
-void OffloadControlTestBase::prepareControlHal() {
-    control = createControl(std::get<1>(GetParam()));
-    ASSERT_NE(nullptr, control.get()) << "Could not get HIDL instance";
-
-    control_cb = new TetheringOffloadCallback();
-    ASSERT_NE(nullptr, control_cb.get()) << "Could not get get offload callback";
-}
-
-void OffloadControlTestBase::initOffload(const bool expected_result) {
-    auto init_cb = [&](bool success, std::string errMsg) {
-        std::string msg = StringPrintf("Unexpectedly %s to init offload: %s",
-                                       success ? "succeeded" : "failed", errMsg.c_str());
-        ASSERT_EQ(expected_result, success) << msg;
-    };
-    const Return<void> ret = control->initOffload(control_cb, init_cb);
-    ASSERT_TRUE(ret.isOk());
-}
-
-void OffloadControlTestBase::setupControlHal() {
-    prepareControlHal();
-    initOffload(true);
-}
-
 void OffloadControlTestBase::stopOffload(const ExpectBoolean value) {
     auto cb = [&](bool success, const hidl_string& errMsg) {
         switch (value) {
diff --git a/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestBase.h b/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestBase.h
index 004019a..994c808 100644
--- a/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestBase.h
+++ b/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestBase.h
@@ -36,7 +36,6 @@
 using android::hardware::Return;
 using android::hardware::Void;
 using android::hardware::tetheroffload::config::V1_0::IOffloadConfig;
-using android::hardware::tetheroffload::control::V1_0::IOffloadControl;
 using android::hardware::tetheroffload::control::V1_0::ITetheringOffloadCallback;
 using android::hardware::tetheroffload::control::V1_0::NatTimeoutUpdate;
 using android::hardware::tetheroffload::control::V1_0::OffloadCallbackEvent;
@@ -64,17 +63,21 @@
 
     // Called once in setup stage to retrieve correct version of
     // IOffloadControl object.
-    virtual sp<IOffloadControl> createControl(const std::string& serviceName) = 0;
+    virtual sp<android::hardware::tetheroffload::control::V1_0::IOffloadControl> createControl(
+            const std::string& serviceName) = 0;
 
     // The IOffloadConfig HAL is tested more thoroughly elsewhere. Here the
     // class just setup everything correctly and verify basic readiness.
     void setupConfigHal();
 
-    void prepareControlHal();
+    virtual void prepareControlHal() = 0;
 
-    void initOffload(const bool expected_result);
+    virtual void initOffload(const bool expected_result) = 0;
 
-    void setupControlHal();
+    void setupControlHal() {
+        prepareControlHal();
+        initOffload(true);
+    };
 
     void stopOffload(const ExpectBoolean value);
 
@@ -100,6 +103,6 @@
     };
 
     sp<IOffloadConfig> config;
-    sp<IOffloadControl> control;
+    sp<android::hardware::tetheroffload::control::V1_0::IOffloadControl> control;
     sp<TetheringOffloadCallback> control_cb;
 };
\ No newline at end of file
diff --git a/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestV1_0.h b/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestV1_0.h
index 7492f8a..9189d71 100644
--- a/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestV1_0.h
+++ b/tetheroffload/control/1.0/vts/functional/include/OffloadControlTestV1_0.h
@@ -26,8 +26,28 @@
         prepareControlHal();
     }
 
-    virtual sp<IOffloadControl> createControl(const std::string& serviceName) override {
-        return IOffloadControl::getService(serviceName);
+    virtual sp<android::hardware::tetheroffload::control::V1_0::IOffloadControl> createControl(
+            const std::string& serviceName) override {
+        return android::hardware::tetheroffload::control::V1_0::IOffloadControl::getService(
+                serviceName);
+    }
+
+    virtual void prepareControlHal() override {
+        control = createControl(std::get<1>(GetParam()));
+        ASSERT_NE(nullptr, control.get()) << "Could not get HIDL instance";
+
+        control_cb = new TetheringOffloadCallback();
+        ASSERT_NE(nullptr, control_cb.get()) << "Could not get get offload callback";
+    }
+
+    virtual void initOffload(const bool expected_result) override {
+        auto init_cb = [&](bool success, std::string errMsg) {
+            std::string msg = StringPrintf("Unexpectedly %s to init offload: %s",
+                                           success ? "succeeded" : "failed", errMsg.c_str());
+            ASSERT_EQ(expected_result, success) << msg;
+        };
+        const Return<void> ret = control->initOffload(control_cb, init_cb);
+        ASSERT_TRUE(ret.isOk());
     }
 };
 
diff --git a/tetheroffload/control/1.1/Android.bp b/tetheroffload/control/1.1/Android.bp
new file mode 100644
index 0000000..18c8ea9
--- /dev/null
+++ b/tetheroffload/control/1.1/Android.bp
@@ -0,0 +1,16 @@
+// This file is autogenerated by hidl-gen -Landroidbp.
+
+hidl_interface {
+    name: "android.hardware.tetheroffload.control@1.1",
+    root: "android.hardware",
+    srcs: [
+        "types.hal",
+        "IOffloadControl.hal",
+        "ITetheringOffloadCallback.hal",
+    ],
+    interfaces: [
+        "android.hardware.tetheroffload.control@1.0",
+        "android.hidl.base@1.0",
+    ],
+    gen_java: true,
+}
diff --git a/tetheroffload/control/1.1/IOffloadControl.hal b/tetheroffload/control/1.1/IOffloadControl.hal
new file mode 100644
index 0000000..2eb54c8
--- /dev/null
+++ b/tetheroffload/control/1.1/IOffloadControl.hal
@@ -0,0 +1,80 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.tetheroffload.control@1.1;
+
+import @1.0::IOffloadControl;
+
+/**
+ * Interface used to control the lifecycle of tethering offload. Note that callbacks of 1.1 HAL
+ * can be registered with the existing callback registration methods from 1.0 HAL.
+ */
+interface IOffloadControl extends @1.0::IOffloadControl {
+    /**
+     * Instruct hardware to send callbacks after certain number of bytes have been transferred in
+     * either direction on this upstream interface.
+     *
+     * The specified quota bytes must be applied to all traffic on the given upstream interface.
+     * This includes hardware forwarded traffic, software forwarded traffic, and AP-originated
+     * traffic. IPv4 and IPv6 traffic both count towards the same quota. IP headers are included
+     * in the byte count quota, but, link-layer headers are not.
+     *
+     * This API may only be called while offload is occurring on this upstream. The hardware
+     * management process MUST NOT store the values when offload is not started and applies once
+     * offload is started. This is because the quota values would likely become stale over
+     * time and would not reflect any new traffic that has occurred.
+     *
+     * This API replaces {@link @1.0::IOffloadControl::setDataLimit}, the framework will always
+     * call setDataWarningAndLimit on 1.1 implementations, and setDataLimit on 1.0 implementations.
+     * Thus, no interaction between the two APIs need to be addressed.
+     *
+     * The specified quota bytes MUST replace any previous quotas set by
+     * {@code setDataWarningAndLimit} specified on the same interface. It may be interpreted as
+     * "tell me when either <warningBytes> or <limitBytes> bytes have been transferred
+     * (in either direction), and stop offload when <limitBytes> bytes have been transferred,
+     * starting now and counting from zero on <upstream>."
+     *
+     * Once the {@code warningBytes} is reached, the callback registered in initOffload must be
+     * called with {@code OFFLOAD_WARNING_REACHED} to indicate this event. Once the event fires
+     * for this upstream, no further {@code OFFLOAD_WARNING_REACHED} event will be fired for this
+     * upstream unless this method is called again with the same interface. Note that there is
+     * no need to call initOffload again to resume offload if stopOffload was not called by the
+     * client.
+     *
+     * Similarly, Once the {@code limitBytes} is reached, the callback registered in initOffload
+     * must be called with {@code OFFLOAD_STOPPED_LIMIT_REACHED} to indicate this event. Once
+     * the event fires for this upstream, no further {@code OFFLOAD_STOPPED_LIMIT_REACHED}
+     * event will be fired for this upstream unless this method is called again with the same
+     * interface. However, unlike {@code warningBytes}, when {@code limitBytes} is reached,
+     * all offload must be stopped. If offload is desired again, the hardware management
+     * process must be completely reprogrammed by calling setUpstreamParameters and
+     * addDownstream again.
+     *
+     * Note that when one of the quota bytes is reached, the other one is still considered valid
+     * unless this method is called again with the same interface.
+     *
+     * @param upstream Upstream interface name that quota must apply to.
+     * @param warningBytes The quota of warning, defined as the number of bytes, starting from
+     *                     zero and counting from now.
+     * @param limitBytes The quota of limit, defined as the number of bytes, starting from zero
+     *                   and counting from now.
+     *
+     * @return success true if quota is applied, false otherwise
+     * @return errMsg a human readable string if error has occurred.
+     */
+    setDataWarningAndLimit(string upstream, uint64_t warningBytes, uint64_t limitBytes)
+        generates (bool success, string errMsg);
+};
diff --git a/tetheroffload/control/1.1/ITetheringOffloadCallback.hal b/tetheroffload/control/1.1/ITetheringOffloadCallback.hal
new file mode 100644
index 0000000..7a7d56d
--- /dev/null
+++ b/tetheroffload/control/1.1/ITetheringOffloadCallback.hal
@@ -0,0 +1,33 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.tetheroffload.control@1.1;
+
+import @1.0::ITetheringOffloadCallback;
+import OffloadCallbackEvent;
+
+/**
+ * Callback providing information about status of hardware management process
+ * as well as providing a way to keep offloaded connections from timing out.
+ */
+interface ITetheringOffloadCallback extends @1.0::ITetheringOffloadCallback {
+    /**
+     * Called when an asynchronous event is generated by the hardware
+     * management process. Events which are common for 1.0 and 1.1 HAL
+     * MUST be fired on both 1.0 and 1.1 callback.
+     */
+    oneway onEvent_1_1(OffloadCallbackEvent event);
+};
diff --git a/tetheroffload/control/1.1/types.hal b/tetheroffload/control/1.1/types.hal
new file mode 100644
index 0000000..30e6af3
--- /dev/null
+++ b/tetheroffload/control/1.1/types.hal
@@ -0,0 +1,28 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.tetheroffload.control@1.1;
+
+import @1.0::OffloadCallbackEvent;
+
+enum OffloadCallbackEvent : @1.0::OffloadCallbackEvent {
+    /**
+     * This event is fired when the quota, applied in setDataWarning, has expired. It is
+     * recommended that the client query for statistics immediately after receiving this event.
+     * Note that hardware acceleration must not be stopped upon receiving this event.
+     */
+    OFFLOAD_WARNING_REACHED = 6,
+};
diff --git a/tetheroffload/control/1.1/vts/functional/Android.bp b/tetheroffload/control/1.1/vts/functional/Android.bp
new file mode 100644
index 0000000..ab29350
--- /dev/null
+++ b/tetheroffload/control/1.1/vts/functional/Android.bp
@@ -0,0 +1,30 @@
+// Copyright (C) 2020 The Android Open Source Project
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+cc_test {
+    name: "VtsHalTetheroffloadControlV1_1TargetTest",
+    defaults: ["VtsHalTargetTestDefaults"],
+    srcs: ["VtsHalTetheroffloadControlV1_1TargetTest.cpp"],
+    local_include_dirs: ["include"],
+    static_libs: [
+        "android.hardware.tetheroffload.config@1.0",
+        "android.hardware.tetheroffload.control@1.0",
+        "android.hardware.tetheroffload.control@1.1",
+        "VtsHalTetheroffloadControlV1_0TargetTest-lib",
+    ],
+    test_suites: [
+        "general-tests",
+        "vts",
+    ],
+}
diff --git a/tetheroffload/control/1.1/vts/functional/VtsHalTetheroffloadControlV1_1TargetTest.cpp b/tetheroffload/control/1.1/vts/functional/VtsHalTetheroffloadControlV1_1TargetTest.cpp
new file mode 100644
index 0000000..b8c9e53
--- /dev/null
+++ b/tetheroffload/control/1.1/vts/functional/VtsHalTetheroffloadControlV1_1TargetTest.cpp
@@ -0,0 +1,78 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <OffloadControlTestV1_1.h>
+#include <gtest/gtest.h>
+#include <hidl/GtestPrinter.h>
+#include <hidl/ServiceManagement.h>
+
+using android::hardware::tetheroffload::control::V1_1::IOffloadControl;
+
+const hidl_string TEST_IFACE("rmnet_data0");
+
+// Check that calling setDataWarningAndLimit() without first having called initOffload() returns
+// false.
+TEST_P(OffloadControlTestV1_1_HalNotStarted, SetDataWarningAndLimitWithoutInitReturnsFalse) {
+    const Return<void> ret = getControlV1_1()->setDataWarningAndLimit(TEST_IFACE, 5000ULL, 5000ULL,
+                                                                      ASSERT_FALSE_CALLBACK);
+    EXPECT_TRUE(ret.isOk());
+}
+
+/*
+ * Tests for IOffloadControl::setDataWarningAndLimit().
+ */
+
+// Test that setDataWarningAndLimit() for an empty interface name fails.
+TEST_P(OffloadControlTestV1_1_HalStarted, SetDataWarningAndLimitEmptyUpstreamIfaceFails) {
+    const Return<void> ret = getControlV1_1()->setDataWarningAndLimit(
+            hidl_string(""), 12345ULL, 67890ULL, ASSERT_FALSE_CALLBACK);
+    EXPECT_TRUE(ret.isOk());
+}
+
+// TEST_IFACE is presumed to exist on the device and be up. No packets
+// are ever actually caused to be forwarded.
+TEST_P(OffloadControlTestV1_1_HalStarted, SetDataWarningAndLimitNonZeroOk) {
+    const Return<void> ret = getControlV1_1()->setDataWarningAndLimit(TEST_IFACE, 4000ULL, 5000ULL,
+                                                                      ASSERT_TRUE_CALLBACK);
+    EXPECT_TRUE(ret.isOk());
+}
+
+// TEST_IFACE is presumed to exist on the device and be up. No packets
+// are ever actually caused to be forwarded.
+TEST_P(OffloadControlTestV1_1_HalStarted, SetDataWarningAndLimitZeroOk) {
+    const Return<void> ret =
+            getControlV1_1()->setDataWarningAndLimit(TEST_IFACE, 0ULL, 0ULL, ASSERT_TRUE_CALLBACK);
+    EXPECT_TRUE(ret.isOk());
+}
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(OffloadControlTestV1_1_HalNotStarted);
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(OffloadControlTestV1_1_HalStarted);
+
+INSTANTIATE_TEST_CASE_P(
+        PerInstance, OffloadControlTestV1_1_HalNotStarted,
+        testing::Combine(testing::ValuesIn(android::hardware::getAllHalInstanceNames(
+                                 IOffloadConfig::descriptor)),
+                         testing::ValuesIn(android::hardware::getAllHalInstanceNames(
+                                 IOffloadControl::descriptor))),
+        android::hardware::PrintInstanceTupleNameToString<>);
+
+INSTANTIATE_TEST_CASE_P(
+        PerInstance, OffloadControlTestV1_1_HalStarted,
+        testing::Combine(testing::ValuesIn(android::hardware::getAllHalInstanceNames(
+                                 IOffloadConfig::descriptor)),
+                         testing::ValuesIn(android::hardware::getAllHalInstanceNames(
+                                 IOffloadControl::descriptor))),
+        android::hardware::PrintInstanceTupleNameToString<>);
diff --git a/tetheroffload/control/1.1/vts/functional/include/OffloadControlTestV1_1.h b/tetheroffload/control/1.1/vts/functional/include/OffloadControlTestV1_1.h
new file mode 100644
index 0000000..a3bc1b4
--- /dev/null
+++ b/tetheroffload/control/1.1/vts/functional/include/OffloadControlTestV1_1.h
@@ -0,0 +1,99 @@
+/*
+ * Copyright (C) 2020 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include <OffloadControlTestV1_0.h>
+#include <android/hardware/tetheroffload/control/1.1/IOffloadControl.h>
+#include <android/hardware/tetheroffload/control/1.1/ITetheringOffloadCallback.h>
+#include <gtest/gtest.h>
+
+constexpr char kCallbackOnEvent_1_1[] = "onEvent_1_1";
+
+class TetheringOffloadCallbackArgsV1_1 {
+  public:
+    android::hardware::tetheroffload::control::V1_1::OffloadCallbackEvent last_event;
+};
+
+class OffloadControlTestV1_1_HalNotStarted : public OffloadControlTestV1_0_HalNotStarted {
+  public:
+    virtual sp<android::hardware::tetheroffload::control::V1_0::IOffloadControl> createControl(
+            const std::string& serviceName) override {
+        return android::hardware::tetheroffload::control::V1_1::IOffloadControl::getService(
+                serviceName);
+    };
+
+    void prepareControlHal() override {
+        control = createControl(std::get<1>(GetParam()));
+        ASSERT_NE(nullptr, control.get()) << "Could not get HIDL instance";
+
+        control_cb_1_1 = new TetheringOffloadCallbackV1_1();
+        ASSERT_NE(nullptr, control_cb_1_1.get()) << "Could not get offload callback";
+    };
+
+    void initOffload(const bool expected_result) override {
+        auto init_cb = [&](bool success, std::string errMsg) {
+            std::string msg = StringPrintf("Unexpectedly %s to init offload: %s",
+                                           success ? "succeeded" : "failed", errMsg.c_str());
+            ASSERT_EQ(expected_result, success) << msg;
+        };
+        auto control = getControlV1_1();
+        ASSERT_NE(control, nullptr);
+        const Return<void> ret = control->initOffload(control_cb_1_1, init_cb);
+        ASSERT_TRUE(ret.isOk());
+    };
+
+    sp<android::hardware::tetheroffload::control::V1_1::IOffloadControl> getControlV1_1() {
+        // The cast is safe since only devices with V1.1+ HAL will be enumerated and pass in to the
+        // test.
+        return android::hardware::tetheroffload::control::V1_1::IOffloadControl::castFrom(control)
+                .withDefault(nullptr);
+    };
+
+    // Callback class for both new events.
+    class TetheringOffloadCallbackV1_1
+        : public testing::VtsHalHidlTargetCallbackBase<TetheringOffloadCallbackArgsV1_1>,
+          public android::hardware::tetheroffload::control::V1_1::ITetheringOffloadCallback {
+      public:
+        Return<void> onEvent_1_1(
+                android::hardware::tetheroffload::control::V1_1::OffloadCallbackEvent event)
+                override {
+            const TetheringOffloadCallbackArgsV1_1 args{.last_event = event};
+            NotifyFromCallback(kCallbackOnEvent_1_1, args);
+            return Void();
+        };
+
+        Return<void> onEvent([[maybe_unused]] OffloadCallbackEvent event) override {
+            // Tested only in IOffloadControl 1.0.
+            return Void();
+        };
+
+        Return<void> updateTimeout([[maybe_unused]] const NatTimeoutUpdate& params) override {
+            // Tested only in IOffloadControl 1.0.
+            return Void();
+        };
+    };
+
+    sp<TetheringOffloadCallbackV1_1> control_cb_1_1;
+};
+
+class OffloadControlTestV1_1_HalStarted : public OffloadControlTestV1_1_HalNotStarted {
+  public:
+    virtual void SetUp() override {
+        setupConfigHal();
+        setupControlHal();
+    }
+};
\ No newline at end of file
diff --git a/tv/cec/2.0/Android.bp b/tv/cec/2.0/Android.bp
deleted file mode 100644
index 5463b6d..0000000
--- a/tv/cec/2.0/Android.bp
+++ /dev/null
@@ -1,16 +0,0 @@
-// This file is autogenerated by hidl-gen -Landroidbp.
-
-hidl_interface {
-    name: "android.hardware.tv.cec@2.0",
-    root: "android.hardware",
-    srcs: [
-        "types.hal",
-        "IHdmiCec.hal",
-        "IHdmiCecCallback.hal",
-    ],
-    interfaces: [
-        "android.hidl.base@1.0",
-        "android.hidl.safe_union@1.0",
-    ],
-    gen_java: true,
-}
diff --git a/tv/cec/2.0/IHdmiCec.hal b/tv/cec/2.0/IHdmiCec.hal
deleted file mode 100644
index 0723bad..0000000
--- a/tv/cec/2.0/IHdmiCec.hal
+++ /dev/null
@@ -1,209 +0,0 @@
-/*
- * Copyright (C) 2019 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package android.hardware.tv.cec@2.0;
-
-import IHdmiCecCallback;
-
-/**
- * HDMI-CEC HAL interface definition.
- */
-interface IHdmiCec {
-    /**
-     * Passes Primary Device Type that must be used in this system.
-     *
-     * HAL must use it to allocate logical address as specified in CEC section
-     * 11.3.2 of the CEC spec 2.0b. Then CEC commands addressed the given
-     * logical address can be filtered in.
-     * This method shall be able to be called up to twice to support two Primary
-     * Device Type as specified in CEC Table 11-8 of the CEC spec 2.0b.
-     *
-     * @param deviceType that must be used in this system. It must be a valid
-     *        value in CecDeviceType for the call to succeed.
-     * @return result Result status of the operation. SUCCESS if successful,
-     *         FAILURE_INVALID_ARGS if the given device type is invalid,
-     *         FAILURE_BUSY if device or resource is busy
-     */
-    @callflow(next={"*"})
-    addDeviceType(CecDeviceType deviceType) generates (Result result);
-
-    /**
-     * Clears all Primary Device Types.
-     *
-     * It is used when the system plan to reconfigure Primary Device Type,
-     * hence to tell HAL to release all logical address associated to them,
-     * and change the state back to the beginning.
-     */
-    @callflow(next="addDeviceType")
-    @exit
-    clearDeviceTypes();
-
-    /**
-     * Set All Device Types for a Primary Device Type.
-     *
-     * This value must be used in REPORT_FEATURES message to response
-     * GIVE_FEATURES message in HAL.
-     *
-     * @param allDeviceTypes device all device types for a Primary Device Type.
-     */
-    @callflow(next="addDeviceType")
-    setAllDeviceTypes(CecAllDeviceTypes allDeviceTypes);
-
-    /**
-     * Set Device Features for a Primary Device Type.
-     *
-     * This value must be used in REPORT_FEATURES message to response
-     * GIVE_FEATURES message in HAL.
-     *
-     * @param deviceType The device Primary Device Type.
-     * @param deviceFeatures device features for a Primary Device Type.
-     */
-    @callflow(next="addDeviceType")
-    setDeviceFeatures(CecDeviceType deviceType,
-                      CecDeviceFeatures deviceFeatures);
-
-    /**
-     * Set Remote Control Profile for a Primary Device Type.
-     *
-     * This value must be used in REPORT_FEATURES message to response
-     * GIVE_FEATURES message in HAL.
-     *
-     * @param deviceType The device Primary Device Type.
-     * @param rcProliles remote control profiles for a Primary Device Type.
-     */
-    @callflow(next="addDeviceType")
-    setRcProfile(CecDeviceType deviceType, CecRcProfile rcProfile);
-
-    /**
-     * Retrieve CEC device information.
-     *
-     * CEC section 11.3 of the CEC spec 2.0b specify that a device should not
-     * ask for static information that another device has already supplied.
-     * Therefore, CEC 2.0 software stack need a map to store all cec
-     * devices’ information of current CEC network.
-     * The device information is broadcasted by a device after it allocates a
-     * logical address.  Messages used to send out these information are
-     * REPORT_FEATURES, REPORT_PHYSICAL_ADDRESS, DEVICE_VENDOR_ID.
-     * The spec also requires less than 1 second between REPORT_FEATURES and
-     * REPORT_PHYSICAL_ADDRESS message, and less than 2 second between
-     * REPORT_PHYSICAL_ADDRESS and DEVICE_VENDOR_ID. An Implementation of
-     * device information map in hal can help to meet the timing constraints.
-     * Logical addressing is part of the process to build this map, so the
-     * implementation shall include allocating logical address too.
-     * Whenever a device plug/unplug, the topology of CEC network changes.
-     * The hal implementation shall update devices’ information map, and
-     * send out onTopologyEvent to Android system. Then Android system
-     * will use readDeviceInfo to retreive latest devices’ information of CEC
-     * network.
-     * If SYSTEM_CEC_CONTROL is false, the hal implementation need continue to
-     * maintain and update device information map, and send out pending
-     * onTopologyEvent to Android system when SYSTEM_CEC_CONTROL is
-     * changed to true.
-     *
-     * @param logicalAddress logical address of CEC device.
-     * @param physicalAddress physical address of CEC device.
-     * @return CecDeviceInfo from device information map.
-     * @return result Result status of the operation. SUCCESS if successful,
-     *         FAILURE_INVALID_ARGS if logical or physical address is invalid.
-     *         FAILURE_INVALID_STATE if device information isn't available yet.
-     */
-    @callflow(next="onTopologyChangeEvent")
-    readDeviceInfo(CecLogicalAddress logicalAddress,
-                   CecPhysicalAddress physicalAddress)
-        generates (Result result, CecDeviceInfo deviceInfo);
-
-   /**
-     * Transmits HDMI-CEC message to other HDMI device.
-     *
-     * The method must be designed to return in a certain amount of time and not
-     * hanging forever. This method MUST complete with in 1 second.
-     *
-     * It must try retransmission at least once as specified in the section '7.1
-     * Frame Re-transmissions' of the CEC Spec 1.4b.
-     *
-     * @param message CEC message to be sent to other HDMI device.
-     * @return result Result status of the operation. SUCCESS if successful,
-     *         NACK if the sent message is not acknowledged,
-     *         BUSY if the CEC bus is busy.
-     */
-    @callflow(next="*")
-    sendMessage(CecMessage message) generates (SendMessageResult result);
-
-    /**
-     * Set the callback
-     *
-     * It is used by the framework to receive CecMessages, HDMI hotplug event
-     * and topology update event. Only one callback client is supported.
-     *
-     * @param callback Callback object to pass hdmi events to the system. The
-     *        previously registered callback must be replaced with this one.
-     */
-    @callflow(next={"*"})
-    @entry
-    setCallback(IHdmiCecCallback callback);
-
-   /**
-     * Gets the hdmi port information of underlying hardware.
-     *
-     * @return infos The list of HDMI port information
-     */
-    @callflow(next={"*"})
-    getPortInfo() generates (vec<HdmiPortInfo> infos);
-
-    /**
-     * Sets flags controlling the way HDMI-CEC service works down to HAL
-     * implementation. Those flags must be used in case the feature needs update
-     * in HAL itself, firmware or microcontroller.
-     *
-     * @param key The key of the option to be updated with a new value.
-     * @param value Value to be set.
-     */
-    @callflow(next="*")
-    setOption(OptionKey key, bool value);
-
-    /**
-     * Passes the updated language information of Android system. Contains
-     * three-letter code as defined in ISO/FDIS 639-2. Must be used for HAL to
-     * respond to <Get Menu Language> while in standby mode.
-     *
-     * @param language Three-letter code defined in ISO/FDIS 639-2. Must be
-     *        lowercase letters. (e.g., eng for English)
-     */
-    @callflow(next="*")
-    setLanguage(string language);
-
-    /**
-     * Configures ARC circuit in the hardware logic to start or stop the
-     * feature.
-     *
-     * @param portId Port id to be configured.
-     * @param enable Flag must be either true to start the feature or false to
-     *        stop it.
-     */
-    @callflow(next="*")
-    enableAudioReturnChannel(HdmiPortId portId, bool enable);
-
-    /**
-     * Gets the connection status of the specified port.
-     *
-     * It's specified in CEC section 10.8 of the CEC spec 2.0b
-     *
-     * @param portId Port id to be inspected for the connection status.
-     * @return status True if a device is connected, otherwise false.
-     */
-    @callflow(next="*")
-    isConnected(HdmiPortId portId) generates (bool connected);
-};
diff --git a/tv/cec/2.0/IHdmiCecCallback.hal b/tv/cec/2.0/IHdmiCecCallback.hal
deleted file mode 100644
index 1a8a489..0000000
--- a/tv/cec/2.0/IHdmiCecCallback.hal
+++ /dev/null
@@ -1,41 +0,0 @@
-/*
- * Copyright (C) 2019 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package android.hardware.tv.cec@2.0;
-
-interface IHdmiCecCallback {
-    /**
-     * The callback function that must be called by HAL implementation to notify
-     * the system of new CEC message arrival.
-     */
-    oneway onCecMessage(CecMessage message);
-
-    /**
-     * The callback function that must be called by HAL implementation to notify
-     * the system of new hotplug event.
-     */
-    oneway onHotplugEvent(HotplugEvent event);
-
-    /**
-     * The callback function must be called by HAL implementation to notify the
-     * system whenever CEC device information of CEC network change.
-     * HAL shall be ready for readDeviceInfo call before invoke this callback.
-     * This event is triggered by topology change of whole CEC network. It's
-     * different from HotplugEvent which is triggered between devices which are
-     * connected directly through HDMI cable.
-     */
-    oneway onTopologyEvent(CecTopologyEvent event);
-};
diff --git a/tv/cec/2.0/default/Android.bp b/tv/cec/2.0/default/Android.bp
deleted file mode 100644
index d3d5342..0000000
--- a/tv/cec/2.0/default/Android.bp
+++ /dev/null
@@ -1,40 +0,0 @@
-cc_library_shared {
-    name: "android.hardware.tv.cec@2.0-impl",
-    defaults: ["hidl_defaults"],
-    vendor: true,
-    relative_install_path: "hw",
-    srcs: ["HdmiCec.cpp"],
-
-    shared_libs: [
-        "libhidlbase",
-        "liblog",
-        "libbase",
-        "libutils",
-        "libhardware",
-        "android.hardware.tv.cec@2.0",
-    ],
-
-}
-
-cc_binary {
-    name: "android.hardware.tv.cec@2.0-service",
-    vintf_fragments: ["android.hardware.tv.cec@2.0-service.xml"],
-    defaults: ["hidl_defaults"],
-    relative_install_path: "hw",
-    vendor: true,
-    init_rc: ["android.hardware.tv.cec@2.0-service.rc"],
-    srcs: ["service.cpp"],
-
-    shared_libs: [
-        "liblog",
-        "libcutils",
-        "libdl",
-        "libbase",
-        "libutils",
-        "libhardware_legacy",
-        "libhardware",
-        "libhidlbase",
-        "android.hardware.tv.cec@2.0",
-    ],
-
-}
diff --git a/tv/cec/2.0/default/HdmiCec.cpp b/tv/cec/2.0/default/HdmiCec.cpp
deleted file mode 100644
index f451719..0000000
--- a/tv/cec/2.0/default/HdmiCec.cpp
+++ /dev/null
@@ -1,421 +0,0 @@
-/*
- * Copyright (C) 2019 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "android.hardware.tv.cec@2.0-impl"
-#include <android-base/logging.h>
-
-#include <hardware/hardware.h>
-#include <hardware/hdmi_cec.h>
-#include "HdmiCec.h"
-
-namespace android {
-namespace hardware {
-namespace tv {
-namespace cec {
-namespace V2_0 {
-namespace implementation {
-
-static_assert(CEC_DEVICE_INACTIVE == static_cast<int>(CecDeviceType::INACTIVE),
-              "CecDeviceType::INACTIVE must match legacy value.");
-static_assert(CEC_DEVICE_TV == static_cast<int>(CecDeviceType::TV),
-              "CecDeviceType::TV must match legacy value.");
-static_assert(CEC_DEVICE_RECORDER == static_cast<int>(CecDeviceType::RECORDER),
-              "CecDeviceType::RECORDER must match legacy value.");
-static_assert(CEC_DEVICE_TUNER == static_cast<int>(CecDeviceType::TUNER),
-              "CecDeviceType::TUNER must match legacy value.");
-static_assert(CEC_DEVICE_PLAYBACK == static_cast<int>(CecDeviceType::PLAYBACK),
-              "CecDeviceType::PLAYBACK must match legacy value.");
-static_assert(CEC_DEVICE_AUDIO_SYSTEM == static_cast<int>(CecDeviceType::AUDIO_SYSTEM),
-              "CecDeviceType::AUDIO_SYSTEM must match legacy value.");
-/* TODO: Adjust for cec@2.0
-static_assert(CEC_DEVICE_MAX == static_cast<int>(CecDeviceType::MAX),
-        "CecDeviceType::MAX must match legacy value.");
-*/
-static_assert(CEC_ADDR_TV == static_cast<int>(CecLogicalAddress::TV),
-              "CecLogicalAddress::TV must match legacy value.");
-static_assert(CEC_ADDR_RECORDER_1 == static_cast<int>(CecLogicalAddress::RECORDER_1),
-              "CecLogicalAddress::RECORDER_1 must match legacy value.");
-static_assert(CEC_ADDR_RECORDER_2 == static_cast<int>(CecLogicalAddress::RECORDER_2),
-              "CecLogicalAddress::RECORDER_2 must match legacy value.");
-static_assert(CEC_ADDR_TUNER_1 == static_cast<int>(CecLogicalAddress::TUNER_1),
-              "CecLogicalAddress::TUNER_1 must match legacy value.");
-static_assert(CEC_ADDR_PLAYBACK_1 == static_cast<int>(CecLogicalAddress::PLAYBACK_1),
-              "CecLogicalAddress::PLAYBACK_1 must match legacy value.");
-static_assert(CEC_ADDR_AUDIO_SYSTEM == static_cast<int>(CecLogicalAddress::AUDIO_SYSTEM),
-              "CecLogicalAddress::AUDIO_SYSTEM must match legacy value.");
-static_assert(CEC_ADDR_TUNER_2 == static_cast<int>(CecLogicalAddress::TUNER_2),
-              "CecLogicalAddress::TUNER_2 must match legacy value.");
-static_assert(CEC_ADDR_TUNER_3 == static_cast<int>(CecLogicalAddress::TUNER_3),
-              "CecLogicalAddress::TUNER_3 must match legacy value.");
-static_assert(CEC_ADDR_PLAYBACK_2 == static_cast<int>(CecLogicalAddress::PLAYBACK_2),
-              "CecLogicalAddress::PLAYBACK_2 must match legacy value.");
-static_assert(CEC_ADDR_RECORDER_3 == static_cast<int>(CecLogicalAddress::RECORDER_3),
-              "CecLogicalAddress::RECORDER_3 must match legacy value.");
-static_assert(CEC_ADDR_TUNER_4 == static_cast<int>(CecLogicalAddress::TUNER_4),
-              "CecLogicalAddress::TUNER_4 must match legacy value.");
-static_assert(CEC_ADDR_PLAYBACK_3 == static_cast<int>(CecLogicalAddress::PLAYBACK_3),
-              "CecLogicalAddress::PLAYBACK_3 must match legacy value.");
-/* TODO: Adjust for cec@2.0
-static_assert(CEC_ADDR_FREE_USE == static_cast<int>(CecLogicalAddress::FREE_USE),
-        "CecLogicalAddress::FREE_USE must match legacy value.");
-*/
-static_assert(CEC_ADDR_UNREGISTERED == static_cast<int>(CecLogicalAddress::UNREGISTERED),
-              "CecLogicalAddress::UNREGISTERED must match legacy value.");
-static_assert(CEC_ADDR_BROADCAST == static_cast<int>(CecLogicalAddress::BROADCAST),
-              "CecLogicalAddress::BROADCAST must match legacy value.");
-
-static_assert(CEC_MESSAGE_FEATURE_ABORT == static_cast<int>(CecMessageType::FEATURE_ABORT),
-              "CecMessageType::FEATURE_ABORT must match legacy value.");
-static_assert(CEC_MESSAGE_IMAGE_VIEW_ON == static_cast<int>(CecMessageType::IMAGE_VIEW_ON),
-              "CecMessageType::IMAGE_VIEW_ON must match legacy value.");
-static_assert(CEC_MESSAGE_TUNER_STEP_INCREMENT ==
-                      static_cast<int>(CecMessageType::TUNER_STEP_INCREMENT),
-              "CecMessageType::TUNER_STEP_INCREMENT must match legacy value.");
-static_assert(CEC_MESSAGE_TUNER_STEP_DECREMENT ==
-                      static_cast<int>(CecMessageType::TUNER_STEP_DECREMENT),
-              "CecMessageType::TUNER_STEP_DECREMENT must match legacy value.");
-static_assert(CEC_MESSAGE_TUNER_DEVICE_STATUS ==
-                      static_cast<int>(CecMessageType::TUNER_DEVICE_STATUS),
-              "CecMessageType::TUNER_DEVICE_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_TUNER_DEVICE_STATUS ==
-                      static_cast<int>(CecMessageType::GIVE_TUNER_DEVICE_STATUS),
-              "CecMessageType::GIVE_TUNER_DEVICE_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_RECORD_ON == static_cast<int>(CecMessageType::RECORD_ON),
-              "CecMessageType::RECORD_ON must match legacy value.");
-static_assert(CEC_MESSAGE_RECORD_STATUS == static_cast<int>(CecMessageType::RECORD_STATUS),
-              "CecMessageType::RECORD_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_RECORD_OFF == static_cast<int>(CecMessageType::RECORD_OFF),
-              "CecMessageType::RECORD_OFF must match legacy value.");
-static_assert(CEC_MESSAGE_TEXT_VIEW_ON == static_cast<int>(CecMessageType::TEXT_VIEW_ON),
-              "CecMessageType::TEXT_VIEW_ON must match legacy value.");
-static_assert(CEC_MESSAGE_RECORD_TV_SCREEN == static_cast<int>(CecMessageType::RECORD_TV_SCREEN),
-              "CecMessageType::RECORD_TV_SCREEN must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_DECK_STATUS == static_cast<int>(CecMessageType::GIVE_DECK_STATUS),
-              "CecMessageType::GIVE_DECK_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_STANDBY == static_cast<int>(CecMessageType::STANDBY),
-              "CecMessageType::STANDBY must match legacy value.");
-static_assert(CEC_MESSAGE_PLAY == static_cast<int>(CecMessageType::PLAY),
-              "CecMessageType::PLAY must match legacy value.");
-static_assert(CEC_MESSAGE_DECK_CONTROL == static_cast<int>(CecMessageType::DECK_CONTROL),
-              "CecMessageType::DECK_CONTROL must match legacy value.");
-static_assert(CEC_MESSAGE_TIMER_CLEARED_STATUS ==
-                      static_cast<int>(CecMessageType::TIMER_CLEARED_STATUS),
-              "CecMessageType::TIMER_CLEARED_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_USER_CONTROL_PRESSED ==
-                      static_cast<int>(CecMessageType::USER_CONTROL_PRESSED),
-              "CecMessageType::USER_CONTROL_PRESSED must match legacy value.");
-static_assert(CEC_MESSAGE_USER_CONTROL_RELEASED ==
-                      static_cast<int>(CecMessageType::USER_CONTROL_RELEASED),
-              "CecMessageType::USER_CONTROL_RELEASED must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_OSD_NAME == static_cast<int>(CecMessageType::GIVE_OSD_NAME),
-              "CecMessageType::GIVE_OSD_NAME must match legacy value.");
-static_assert(CEC_MESSAGE_SET_OSD_NAME == static_cast<int>(CecMessageType::SET_OSD_NAME),
-              "CecMessageType::SET_OSD_NAME must match legacy value.");
-static_assert(CEC_MESSAGE_SYSTEM_AUDIO_MODE_REQUEST ==
-                      static_cast<int>(CecMessageType::SYSTEM_AUDIO_MODE_REQUEST),
-              "CecMessageType::SYSTEM_AUDIO_MODE_REQUEST must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_AUDIO_STATUS == static_cast<int>(CecMessageType::GIVE_AUDIO_STATUS),
-              "CecMessageType::GIVE_AUDIO_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_SET_SYSTEM_AUDIO_MODE ==
-                      static_cast<int>(CecMessageType::SET_SYSTEM_AUDIO_MODE),
-              "CecMessageType::SET_SYSTEM_AUDIO_MODE must match legacy value.");
-static_assert(CEC_MESSAGE_REPORT_AUDIO_STATUS ==
-                      static_cast<int>(CecMessageType::REPORT_AUDIO_STATUS),
-              "CecMessageType::REPORT_AUDIO_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_SYSTEM_AUDIO_MODE_STATUS ==
-                      static_cast<int>(CecMessageType::GIVE_SYSTEM_AUDIO_MODE_STATUS),
-              "CecMessageType::GIVE_SYSTEM_AUDIO_MODE_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_SYSTEM_AUDIO_MODE_STATUS ==
-                      static_cast<int>(CecMessageType::SYSTEM_AUDIO_MODE_STATUS),
-              "CecMessageType::SYSTEM_AUDIO_MODE_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_ROUTING_CHANGE == static_cast<int>(CecMessageType::ROUTING_CHANGE),
-              "CecMessageType::ROUTING_CHANGE must match legacy value.");
-static_assert(CEC_MESSAGE_ROUTING_INFORMATION ==
-                      static_cast<int>(CecMessageType::ROUTING_INFORMATION),
-              "CecMessageType::ROUTING_INFORMATION must match legacy value.");
-static_assert(CEC_MESSAGE_ACTIVE_SOURCE == static_cast<int>(CecMessageType::ACTIVE_SOURCE),
-              "CecMessageType::ACTIVE_SOURCE must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_PHYSICAL_ADDRESS ==
-                      static_cast<int>(CecMessageType::GIVE_PHYSICAL_ADDRESS),
-              "CecMessageType::GIVE_PHYSICAL_ADDRESS must match legacy value.");
-static_assert(CEC_MESSAGE_REPORT_PHYSICAL_ADDRESS ==
-                      static_cast<int>(CecMessageType::REPORT_PHYSICAL_ADDRESS),
-              "CecMessageType::REPORT_PHYSICAL_ADDRESS must match legacy value.");
-static_assert(CEC_MESSAGE_REQUEST_ACTIVE_SOURCE ==
-                      static_cast<int>(CecMessageType::REQUEST_ACTIVE_SOURCE),
-              "CecMessageType::REQUEST_ACTIVE_SOURCE must match legacy value.");
-static_assert(CEC_MESSAGE_SET_STREAM_PATH == static_cast<int>(CecMessageType::SET_STREAM_PATH),
-              "CecMessageType::SET_STREAM_PATH must match legacy value.");
-static_assert(CEC_MESSAGE_DEVICE_VENDOR_ID == static_cast<int>(CecMessageType::DEVICE_VENDOR_ID),
-              "CecMessageType::DEVICE_VENDOR_ID must match legacy value.");
-static_assert(CEC_MESSAGE_VENDOR_COMMAND == static_cast<int>(CecMessageType::VENDOR_COMMAND),
-              "CecMessageType::VENDOR_COMMAND must match legacy value.");
-static_assert(CEC_MESSAGE_VENDOR_REMOTE_BUTTON_DOWN ==
-                      static_cast<int>(CecMessageType::VENDOR_REMOTE_BUTTON_DOWN),
-              "CecMessageType::VENDOR_REMOTE_BUTTON_DOWN must match legacy value.");
-static_assert(CEC_MESSAGE_VENDOR_REMOTE_BUTTON_UP ==
-                      static_cast<int>(CecMessageType::VENDOR_REMOTE_BUTTON_UP),
-              "CecMessageType::VENDOR_REMOTE_BUTTON_UP must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_DEVICE_VENDOR_ID ==
-                      static_cast<int>(CecMessageType::GIVE_DEVICE_VENDOR_ID),
-              "CecMessageType::GIVE_DEVICE_VENDOR_ID must match legacy value.");
-static_assert(CEC_MESSAGE_MENU_REQUEST == static_cast<int>(CecMessageType::MENU_REQUEST),
-              "CecMessageType::MENU_REQUEST must match legacy value.");
-static_assert(CEC_MESSAGE_MENU_STATUS == static_cast<int>(CecMessageType::MENU_STATUS),
-              "CecMessageType::MENU_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_GIVE_DEVICE_POWER_STATUS ==
-                      static_cast<int>(CecMessageType::GIVE_DEVICE_POWER_STATUS),
-              "CecMessageType::GIVE_DEVICE_POWER_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_REPORT_POWER_STATUS ==
-                      static_cast<int>(CecMessageType::REPORT_POWER_STATUS),
-              "CecMessageType::REPORT_POWER_STATUS must match legacy value.");
-static_assert(CEC_MESSAGE_GET_MENU_LANGUAGE == static_cast<int>(CecMessageType::GET_MENU_LANGUAGE),
-              "CecMessageType::GET_MENU_LANGUAGE must match legacy value.");
-static_assert(CEC_MESSAGE_SELECT_ANALOG_SERVICE ==
-                      static_cast<int>(CecMessageType::SELECT_ANALOG_SERVICE),
-              "CecMessageType::SELECT_ANALOG_SERVICE must match legacy value.");
-static_assert(CEC_MESSAGE_SELECT_DIGITAL_SERVICE ==
-                      static_cast<int>(CecMessageType::SELECT_DIGITAL_SERVICE),
-              "CecMessageType::SELECT_DIGITAL_SERVICE must match legacy value.");
-static_assert(CEC_MESSAGE_SET_DIGITAL_TIMER == static_cast<int>(CecMessageType::SET_DIGITAL_TIMER),
-              "CecMessageType::SET_DIGITAL_TIMER must match legacy value.");
-static_assert(CEC_MESSAGE_CLEAR_DIGITAL_TIMER ==
-                      static_cast<int>(CecMessageType::CLEAR_DIGITAL_TIMER),
-              "CecMessageType::CLEAR_DIGITAL_TIMER must match legacy value.");
-static_assert(CEC_MESSAGE_SET_AUDIO_RATE == static_cast<int>(CecMessageType::SET_AUDIO_RATE),
-              "CecMessageType::SET_AUDIO_RATE must match legacy value.");
-static_assert(CEC_MESSAGE_INACTIVE_SOURCE == static_cast<int>(CecMessageType::INACTIVE_SOURCE),
-              "CecMessageType::INACTIVE_SOURCE must match legacy value.");
-static_assert(CEC_MESSAGE_CEC_VERSION == static_cast<int>(CecMessageType::CEC_VERSION),
-              "CecMessageType::CEC_VERSION must match legacy value.");
-static_assert(CEC_MESSAGE_GET_CEC_VERSION == static_cast<int>(CecMessageType::GET_CEC_VERSION),
-              "CecMessageType::GET_CEC_VERSION must match legacy value.");
-static_assert(CEC_MESSAGE_VENDOR_COMMAND_WITH_ID ==
-                      static_cast<int>(CecMessageType::VENDOR_COMMAND_WITH_ID),
-              "CecMessageType::VENDOR_COMMAND_WITH_ID must match legacy value.");
-static_assert(CEC_MESSAGE_CLEAR_EXTERNAL_TIMER ==
-                      static_cast<int>(CecMessageType::CLEAR_EXTERNAL_TIMER),
-              "CecMessageType::CLEAR_EXTERNAL_TIMER must match legacy value.");
-static_assert(CEC_MESSAGE_SET_EXTERNAL_TIMER ==
-                      static_cast<int>(CecMessageType::SET_EXTERNAL_TIMER),
-              "CecMessageType::SET_EXTERNAL_TIMER must match legacy value.");
-static_assert(CEC_MESSAGE_INITIATE_ARC == static_cast<int>(CecMessageType::INITIATE_ARC),
-              "CecMessageType::INITIATE_ARC must match legacy value.");
-static_assert(CEC_MESSAGE_REPORT_ARC_INITIATED ==
-                      static_cast<int>(CecMessageType::REPORT_ARC_INITIATED),
-              "CecMessageType::REPORT_ARC_INITIATED must match legacy value.");
-static_assert(CEC_MESSAGE_REPORT_ARC_TERMINATED ==
-                      static_cast<int>(CecMessageType::REPORT_ARC_TERMINATED),
-              "CecMessageType::REPORT_ARC_TERMINATED must match legacy value.");
-static_assert(CEC_MESSAGE_REQUEST_ARC_INITIATION ==
-                      static_cast<int>(CecMessageType::REQUEST_ARC_INITIATION),
-              "CecMessageType::REQUEST_ARC_INITIATION must match legacy value.");
-static_assert(CEC_MESSAGE_REQUEST_ARC_TERMINATION ==
-                      static_cast<int>(CecMessageType::REQUEST_ARC_TERMINATION),
-              "CecMessageType::REQUEST_ARC_TERMINATION must match legacy value.");
-static_assert(CEC_MESSAGE_TERMINATE_ARC == static_cast<int>(CecMessageType::TERMINATE_ARC),
-              "CecMessageType::TERMINATE_ARC must match legacy value.");
-static_assert(CEC_MESSAGE_ABORT == static_cast<int>(CecMessageType::ABORT),
-              "CecMessageType::ABORT must match legacy value.");
-
-static_assert(ABORT_UNRECOGNIZED_MODE == static_cast<int>(AbortReason::UNRECOGNIZED_MODE),
-              "AbortReason::UNRECOGNIZED_MODE must match legacy value.");
-static_assert(ABORT_NOT_IN_CORRECT_MODE == static_cast<int>(AbortReason::NOT_IN_CORRECT_MODE),
-              "AbortReason::NOT_IN_CORRECT_MODE must match legacy value.");
-static_assert(ABORT_CANNOT_PROVIDE_SOURCE == static_cast<int>(AbortReason::CANNOT_PROVIDE_SOURCE),
-              "AbortReason::CANNOT_PROVIDE_SOURCE must match legacy value.");
-static_assert(ABORT_INVALID_OPERAND == static_cast<int>(AbortReason::INVALID_OPERAND),
-              "AbortReason::INVALID_OPERAND must match legacy value.");
-static_assert(ABORT_REFUSED == static_cast<int>(AbortReason::REFUSED),
-              "AbortReason::REFUSED must match legacy value.");
-static_assert(ABORT_UNABLE_TO_DETERMINE == static_cast<int>(AbortReason::UNABLE_TO_DETERMINE),
-              "AbortReason::UNABLE_TO_DETERMINE must match legacy value.");
-
-static_assert(HDMI_RESULT_SUCCESS == static_cast<int>(SendMessageResult::SUCCESS),
-              "SendMessageResult::SUCCESS must match legacy value.");
-static_assert(HDMI_RESULT_NACK == static_cast<int>(SendMessageResult::NACK),
-              "SendMessageResult::NACK must match legacy value.");
-static_assert(HDMI_RESULT_BUSY == static_cast<int>(SendMessageResult::BUSY),
-              "SendMessageResult::BUSY must match legacy value.");
-static_assert(HDMI_RESULT_FAIL == static_cast<int>(SendMessageResult::FAIL),
-              "SendMessageResult::FAIL must match legacy value.");
-
-static_assert(HDMI_INPUT == static_cast<int>(HdmiPortType::INPUT),
-              "HdmiPortType::INPUT must match legacy value.");
-static_assert(HDMI_OUTPUT == static_cast<int>(HdmiPortType::OUTPUT),
-              "HdmiPortType::OUTPUT must match legacy value.");
-
-static_assert(HDMI_OPTION_WAKEUP == static_cast<int>(OptionKey::WAKEUP),
-              "OptionKey::WAKEUP must match legacy value.");
-static_assert(HDMI_OPTION_ENABLE_CEC == static_cast<int>(OptionKey::ENABLE_CEC),
-              "OptionKey::ENABLE_CEC must match legacy value.");
-static_assert(HDMI_OPTION_SYSTEM_CEC_CONTROL == static_cast<int>(OptionKey::SYSTEM_CEC_CONTROL),
-              "OptionKey::SYSTEM_CEC_CONTROL must match legacy value.");
-
-sp<IHdmiCecCallback> HdmiCec::mCallback = nullptr;
-
-HdmiCec::HdmiCec(hdmi_cec_device_t* device) : mDevice(device) {}
-
-// Methods from ::android::hardware::tv::cec::V2_0::IHdmiCec follow.
-Return<Result> HdmiCec::addDeviceType(CecDeviceType deviceType) {
-    // TODO implement
-    if (deviceType <= CecDeviceType::MAX) {
-        return Result::SUCCESS;
-    } else {
-        return Result::FAILURE_INVALID_ARGS;
-    }
-}
-
-Return<void> HdmiCec::clearDeviceTypes() {
-    // TODO implement
-    return Void();
-}
-
-Return<void> HdmiCec::setAllDeviceTypes(CecAllDeviceTypes allDeviceTypes) {
-    // TODO implement
-    if (allDeviceTypes == 1) {
-    }
-    return Void();
-}
-
-Return<void> HdmiCec::setDeviceFeatures(CecDeviceType deviceType,
-                                        CecDeviceFeatures /* deviceFeatures */) {
-    // TODO implement
-    if (deviceType != CecDeviceType::MAX) {
-    }
-    return Void();
-}
-
-Return<void> HdmiCec::setRcProfile(CecDeviceType deviceType, const CecRcProfile& /* rcProfile */) {
-    // TODO implement
-    if (deviceType != CecDeviceType::MAX) {
-    }
-    return Void();
-}
-
-Return<void> HdmiCec::readDeviceInfo(CecLogicalAddress logicalAddress,
-                                     CecPhysicalAddress physicalAddress,
-                                     const readDeviceInfo_cb _hidl_cb) {
-    // TODO implement
-    CecDeviceInfo deviceInfo;
-
-    if (logicalAddress == CecLogicalAddress::TV) {
-        _hidl_cb(Result::SUCCESS, deviceInfo);
-        if (physicalAddress) {
-        }
-    }
-    return Void();
-}
-
-Return<SendMessageResult> HdmiCec::sendMessage(const CecMessage& message) {
-    cec_message_t legacyMessage{
-            .initiator = static_cast<cec_logical_address_t>(message.initiator),
-            .destination = static_cast<cec_logical_address_t>(message.destination),
-            .length = message.body.size(),
-    };
-    for (size_t i = 0; i < message.body.size(); ++i) {
-        legacyMessage.body[i] = static_cast<unsigned char>(message.body[i]);
-    }
-    return static_cast<SendMessageResult>(mDevice->send_message(mDevice, &legacyMessage));
-}
-
-Return<void> HdmiCec::setCallback(const sp<IHdmiCecCallback>& callback) {
-    if (mCallback != nullptr) {
-        mCallback->unlinkToDeath(this);
-        mCallback = nullptr;
-    }
-
-    if (callback != nullptr) {
-        mCallback = callback;
-        mCallback->linkToDeath(this, 0 /*cookie*/);
-        mDevice->register_event_callback(mDevice, eventCallback, nullptr);
-    }
-    return Void();
-}
-
-Return<void> HdmiCec::getPortInfo(getPortInfo_cb _hidl_cb) {
-    struct hdmi_port_info* legacyPorts;
-    int numPorts;
-    hidl_vec<HdmiPortInfo> portInfos;
-    mDevice->get_port_info(mDevice, &legacyPorts, &numPorts);
-    portInfos.resize(numPorts);
-    for (int i = 0; i < numPorts; ++i) {
-        portInfos[i] = {.type = static_cast<HdmiPortType>(legacyPorts[i].type),
-                        .portId = static_cast<HdmiPortId>(legacyPorts[i].port_id),
-                        .cecSupported = legacyPorts[i].cec_supported != 0,
-                        .arcSupported = legacyPorts[i].arc_supported != 0,
-                        .physicalAddress = legacyPorts[i].physical_address};
-    }
-    _hidl_cb(portInfos);
-    return Void();
-}
-
-Return<void> HdmiCec::setOption(OptionKey key, bool value) {
-    mDevice->set_option(mDevice, static_cast<int>(key), value ? 1 : 0);
-    return Void();
-}
-
-Return<void> HdmiCec::setLanguage(const hidl_string& language) {
-    if (language.size() != 3) {
-        LOG(ERROR) << "Wrong language code: expected 3 letters, but it was " << language.size()
-                   << ".";
-        return Void();
-    }
-    const char* languageStr = language.c_str();
-    int convertedLanguage = ((languageStr[0] & 0xFF) << 16) | ((languageStr[1] & 0xFF) << 8) |
-                            (languageStr[2] & 0xFF);
-    mDevice->set_option(mDevice, HDMI_OPTION_SET_LANG, convertedLanguage);
-    return Void();
-}
-
-Return<void> HdmiCec::enableAudioReturnChannel(HdmiPortId portId, bool enable) {
-    mDevice->set_audio_return_channel(mDevice, portId, enable ? 1 : 0);
-    return Void();
-}
-
-Return<bool> HdmiCec::isConnected(HdmiPortId portId) {
-    return mDevice->is_connected(mDevice, portId) > 0;
-}
-
-IHdmiCec* HIDL_FETCH_IHdmiCec(const char* hal) {
-    hdmi_cec_device_t* hdmi_cec_device;
-    int ret = 0;
-    const hw_module_t* hw_module = nullptr;
-
-    ret = hw_get_module(HDMI_CEC_HARDWARE_MODULE_ID, &hw_module);
-    if (ret == 0) {
-        ret = hdmi_cec_open(hw_module, &hdmi_cec_device);
-        if (ret != 0) {
-            LOG(ERROR) << "hdmi_cec_open " << hal << " failed: " << ret;
-        }
-    } else {
-        LOG(ERROR) << "hw_get_module " << hal << " failed: " << ret;
-    }
-
-    if (ret == 0) {
-        return new HdmiCec(hdmi_cec_device);
-    } else {
-        LOG(ERROR) << "Passthrough failed to load legacy HAL.";
-        return nullptr;
-    }
-}
-
-}  // namespace implementation
-}  // namespace V2_0
-}  // namespace cec
-}  // namespace tv
-}  // namespace hardware
-}  // namespace android
diff --git a/tv/cec/2.0/default/HdmiCec.h b/tv/cec/2.0/default/HdmiCec.h
deleted file mode 100644
index ab54770..0000000
--- a/tv/cec/2.0/default/HdmiCec.h
+++ /dev/null
@@ -1,115 +0,0 @@
-/*
- * Copyright (C) 2019 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef ANDROID_HARDWARE_TV_CEC_V2_0_HDMICEC_H
-#define ANDROID_HARDWARE_TV_CEC_V2_0_HDMICEC_H
-
-#include <algorithm>
-
-#include <android/hardware/tv/cec/2.0/IHdmiCec.h>
-#include <hardware/hardware.h>
-#include <hardware/hdmi_cec.h>
-#include <hidl/Status.h>
-
-#include <hidl/MQDescriptor.h>
-namespace android {
-namespace hardware {
-namespace tv {
-namespace cec {
-namespace V2_0 {
-namespace implementation {
-
-using ::android::sp;
-using ::android::hardware::hidl_string;
-using ::android::hardware::hidl_vec;
-using ::android::hardware::Return;
-using ::android::hardware::Void;
-using ::android::hardware::tv::cec::V2_0::CecLogicalAddress;
-using ::android::hardware::tv::cec::V2_0::CecMessage;
-using ::android::hardware::tv::cec::V2_0::CecPhysicalAddress;
-using ::android::hardware::tv::cec::V2_0::HdmiPortId;
-using ::android::hardware::tv::cec::V2_0::HdmiPortInfo;
-using ::android::hardware::tv::cec::V2_0::IHdmiCec;
-using ::android::hardware::tv::cec::V2_0::IHdmiCecCallback;
-using ::android::hardware::tv::cec::V2_0::MaxLength;
-using ::android::hardware::tv::cec::V2_0::OptionKey;
-using ::android::hardware::tv::cec::V2_0::Result;
-using ::android::hardware::tv::cec::V2_0::SendMessageResult;
-
-struct HdmiCec : public IHdmiCec, public hidl_death_recipient {
-    HdmiCec(hdmi_cec_device_t* device);
-    // Methods from ::android::hardware::tv::cec::V2_0::IHdmiCec follow.
-    Return<Result> addDeviceType(CecDeviceType deviceType) override;
-    Return<void> clearDeviceTypes() override;
-    Return<void> setAllDeviceTypes(CecAllDeviceTypes allDeviceTypes) override;
-    Return<void> setDeviceFeatures(CecDeviceType deviceType,
-                                   CecDeviceFeatures /* deviceFeatures */) override;
-    Return<void> setRcProfile(CecDeviceType deviceType,
-                              const CecRcProfile& /* rcProfile */) override;
-    Return<void> readDeviceInfo(CecLogicalAddress logicalAddress,
-                                CecPhysicalAddress physicalAddress,
-                                const readDeviceInfo_cb _hidl_cb) override;
-    Return<SendMessageResult> sendMessage(const CecMessage& message) override;
-    Return<void> setCallback(const sp<IHdmiCecCallback>& callback) override;
-    Return<void> getPortInfo(getPortInfo_cb _hidl_cb) override;
-    Return<void> setOption(OptionKey key, bool value) override;
-    Return<void> setLanguage(const hidl_string& language) override;
-    Return<void> enableAudioReturnChannel(HdmiPortId portId, bool enable) override;
-    Return<bool> isConnected(HdmiPortId portId) override;
-
-    static void eventCallback(const hdmi_event_t* event, void* /* arg */) {
-        if (mCallback != nullptr && event != nullptr) {
-            if (event->type == HDMI_EVENT_CEC_MESSAGE) {
-                size_t length =
-                        std::min(event->cec.length, static_cast<size_t>(MaxLength::MESSAGE_BODY));
-                CecMessage cecMessage{
-                        .initiator = static_cast<CecLogicalAddress>(event->cec.initiator),
-                        .destination = static_cast<CecLogicalAddress>(event->cec.destination),
-                };
-                cecMessage.body.resize(length);
-                for (size_t i = 0; i < length; ++i) {
-                    cecMessage.body[i] = static_cast<uint8_t>(event->cec.body[i]);
-                }
-                mCallback->onCecMessage(cecMessage);
-            } else if (event->type == HDMI_EVENT_HOT_PLUG) {
-                HotplugEvent hotplugEvent{
-                        .connected = event->hotplug.connected > 0,
-                        .portId = static_cast<HdmiPortId>(event->hotplug.port_id)};
-                mCallback->onHotplugEvent(hotplugEvent);
-            }
-        }
-    }
-
-    virtual void serviceDied(uint64_t /*cookie*/,
-                             const wp<::android::hidl::base::V1_0::IBase>& /*who*/) {
-        setCallback(nullptr);
-    }
-
-   private:
-    static sp<IHdmiCecCallback> mCallback;
-    const hdmi_cec_device_t* mDevice;
-};
-
-extern "C" IHdmiCec* HIDL_FETCH_IHdmiCec(const char* name);
-
-}  // namespace implementation
-}  // namespace V2_0
-}  // namespace cec
-}  // namespace tv
-}  // namespace hardware
-}  // namespace android
-
-#endif  // ANDROID_HARDWARE_TV_CEC_V2_0_HDMICEC_H
diff --git a/tv/cec/2.0/default/OWNERS b/tv/cec/2.0/default/OWNERS
deleted file mode 100644
index 1b3d095..0000000
--- a/tv/cec/2.0/default/OWNERS
+++ /dev/null
@@ -1,4 +0,0 @@
-nchalko@google.com
-amyjojo@google.com
-shubang@google.com
-quxiangfang@google.com
diff --git a/tv/cec/2.0/default/android.hardware.tv.cec@2.0-service.rc b/tv/cec/2.0/default/android.hardware.tv.cec@2.0-service.rc
deleted file mode 100644
index 1e8cd80..0000000
--- a/tv/cec/2.0/default/android.hardware.tv.cec@2.0-service.rc
+++ /dev/null
@@ -1,4 +0,0 @@
-service vendor.cec-hal-2-0 /vendor/bin/hw/android.hardware.tv.cec@2.0-service
-    class hal
-    user system
-    group system
diff --git a/tv/cec/2.0/default/android.hardware.tv.cec@2.0-service.xml b/tv/cec/2.0/default/android.hardware.tv.cec@2.0-service.xml
deleted file mode 100644
index 61fb1bb..0000000
--- a/tv/cec/2.0/default/android.hardware.tv.cec@2.0-service.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-<manifest version="1.0" type="device">
-    <hal format="hidl">
-        <name>android.hardware.tv.cec</name>
-        <transport>hwbinder</transport>
-        <version>2.0</version>
-        <interface>
-            <name>IHdmiCec</name>
-            <instance>default</instance>
-        </interface>
-    </hal>
-</manifest>
diff --git a/tv/cec/2.0/default/service.cpp b/tv/cec/2.0/default/service.cpp
deleted file mode 100644
index dacc38c..0000000
--- a/tv/cec/2.0/default/service.cpp
+++ /dev/null
@@ -1,27 +0,0 @@
-/*
- * Copyright (C) 2019 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "android.hardware.tv.cec@2.0-service"
-
-#include <android/hardware/tv/cec/2.0/IHdmiCec.h>
-#include <hidl/LegacySupport.h>
-
-using android::hardware::defaultPassthroughServiceImplementation;
-using android::hardware::tv::cec::V2_0::IHdmiCec;
-
-int main() {
-    return defaultPassthroughServiceImplementation<IHdmiCec>();
-}
diff --git a/tv/cec/2.0/types.hal b/tv/cec/2.0/types.hal
deleted file mode 100644
index cad6c39..0000000
--- a/tv/cec/2.0/types.hal
+++ /dev/null
@@ -1,548 +0,0 @@
-/*
- * Copyright (C) 2019 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package android.hardware.tv.cec@2.0;
-
-import android.hidl.safe_union@1.0;
-
-/**
- * CEC device type as specified in CEC Table 11-7 of the CEC spec 2.0b.
- */
-enum CecDeviceType : int32_t {
-    INACTIVE = -1,
-    TV = 0,
-    RECORDER = 1,
-    TUNER = 3,
-    PLAYBACK = 4,
-    AUDIO_SYSTEM = 5,
-    PURE_CEC_SWITCH = 6,
-    PROCESSOR = 7,
-    MAX = PROCESSOR,
-};
-
-/**
- * CEC logical address as specified in CEC Table 11-9 of the CEC spec 2.0b.
- */
-enum CecLogicalAddress : int32_t {
-    TV = 0,
-    RECORDER_1 = 1,
-    RECORDER_2 = 2,
-    TUNER_1 = 3,
-    PLAYBACK_1 = 4,
-    AUDIO_SYSTEM = 5,
-    TUNER_2 = 6,
-    TUNER_3 = 7,
-    PLAYBACK_2 = 8,
-    RECORDER_3 = 9,
-    TUNER_4 = 10,
-    PLAYBACK_3 = 11,
-    BACKUP_1 = 12, // backup1 for Playback/Recording/Tuner/Processor device
-    BACKUP_2 = 13, // backup2 for Playback/Recording/Tuner/Processor device
-    SPECIFIC_USE = 14,
-    UNREGISTERED = 15, // as Initiator address
-    BROADCAST = 15, // as Destination address
-};
-
-/**
- * HDMI CEC message types.
- *
- * The assigned values represent opcode used in CEC frame as specified in
- * Section 11.10 of the CEC spec 2.0b on top of Section CEC 15 of the CEC
- * Spec 1.4b.
- */
-enum CecMessageType : int32_t {
-    FEATURE_ABORT = 0x00,
-    IMAGE_VIEW_ON = 0x04,
-    TUNER_STEP_INCREMENT = 0x05,
-    TUNER_STEP_DECREMENT = 0x06,
-    TUNER_DEVICE_STATUS = 0x07,
-    GIVE_TUNER_DEVICE_STATUS = 0x08,
-    RECORD_ON = 0x09,
-    RECORD_STATUS = 0x0A,
-    RECORD_OFF = 0x0B,
-    TEXT_VIEW_ON = 0x0D,
-    RECORD_TV_SCREEN = 0x0F,
-    GIVE_DECK_STATUS = 0x1A,
-    DECK_STATUS = 0x1B,
-    SET_MENU_LANGUAGE = 0x32,
-    CLEAR_ANALOG_TIMER = 0x33,
-    SET_ANALOG_TIMER = 0x34,
-    TIMER_STATUS = 0x35,
-    STANDBY = 0x36,
-    PLAY = 0x41,
-    DECK_CONTROL = 0x42,
-    TIMER_CLEARED_STATUS = 0x43,
-    USER_CONTROL_PRESSED = 0x44,
-    USER_CONTROL_RELEASED = 0x45,
-    GIVE_OSD_NAME = 0x46,
-    SET_OSD_NAME = 0x47,
-    SET_OSD_STRING = 0x64,
-    SET_TIMER_PROGRAM_TITLE = 0x67,
-    SYSTEM_AUDIO_MODE_REQUEST = 0x70,
-    GIVE_AUDIO_STATUS = 0x71,
-    SET_SYSTEM_AUDIO_MODE = 0x72,
-    REPORT_AUDIO_STATUS = 0x7A,
-    GIVE_SYSTEM_AUDIO_MODE_STATUS = 0x7D,
-    SYSTEM_AUDIO_MODE_STATUS = 0x7E,
-    ROUTING_CHANGE = 0x80,
-    ROUTING_INFORMATION = 0x81,
-    ACTIVE_SOURCE = 0x82,
-    GIVE_PHYSICAL_ADDRESS = 0x83,
-    REPORT_PHYSICAL_ADDRESS = 0x84,
-    REQUEST_ACTIVE_SOURCE = 0x85,
-    SET_STREAM_PATH = 0x86,
-    DEVICE_VENDOR_ID = 0x87,
-    VENDOR_COMMAND = 0x89,
-    VENDOR_REMOTE_BUTTON_DOWN = 0x8A,
-    VENDOR_REMOTE_BUTTON_UP = 0x8B,
-    GIVE_DEVICE_VENDOR_ID = 0x8C,
-    MENU_REQUEST = 0x8D,
-    MENU_STATUS = 0x8E,
-    GIVE_DEVICE_POWER_STATUS = 0x8F,
-    REPORT_POWER_STATUS = 0x90,
-    GET_MENU_LANGUAGE = 0x91,
-    SELECT_ANALOG_SERVICE = 0x92,
-    SELECT_DIGITAL_SERVICE = 0x93,
-    SET_DIGITAL_TIMER = 0x97,
-    CLEAR_DIGITAL_TIMER = 0x99,
-    SET_AUDIO_RATE = 0x9A,
-    INACTIVE_SOURCE = 0x9D,
-    CEC_VERSION = 0x9E,
-    GET_CEC_VERSION = 0x9F,
-    VENDOR_COMMAND_WITH_ID = 0xA0,
-    CLEAR_EXTERNAL_TIMER = 0xA1,
-    SET_EXTERNAL_TIMER = 0xA2,
-    REPORT_SHORT_AUDIO_DESCRIPTOR = 0xA3,
-    REQUEST_SHORT_AUDIO_DESCRIPTOR = 0xA4,
-    GIVE_FEATURES = 0XA5,
-    REPORT_FEATURES = 0xA6,
-    REQUEST_CURRENT_LATENCY = 0xA7,
-    REPORT_CURRENT_LATENCY = 0xA8,
-    INITIATE_ARC = 0xC0,
-    REPORT_ARC_INITIATED = 0xC1,
-    REPORT_ARC_TERMINATED = 0xC2,
-    REQUEST_ARC_INITIATION = 0xC3,
-    REQUEST_ARC_TERMINATION = 0xC4,
-    TERMINATE_ARC = 0xC5,
-    ABORT = 0xFF,
-    POLLING_MESSAGE = 0xFFFFFF00, // used for cec polling message
-};
-
-/**
- * Abort Reason as specified in CEC Table 29 of the CEC spec 1.4b.
- */
-enum AbortReason : int32_t {
-    UNRECOGNIZED_MODE = 0,
-    NOT_IN_CORRECT_MODE = 1,
-    CANNOT_PROVIDE_SOURCE = 2,
-    INVALID_OPERAND = 3,
-    REFUSED = 4,
-    UNABLE_TO_DETERMINE = 5,
-};
-
-enum MaxLength : int32_t {
-    MESSAGE_BODY = 14,
-};
-
-struct CecMessage {
-    /** logical address of sender */
-    CecLogicalAddress initiator;
-
-    /** logical address of receiver */
-    CecLogicalAddress destination;
-
-    /** cec message type */
-    CecMessageType cecMessageType;
-
-    /**
-     * The maximum size of body is 14 (MaxLength::MESSAGE_BODY) as specified in
-     * the section 6 of the CEC Spec 1.4b. Overflowed data must be ignored.
-     */
-    vec<uint8_t> body;
-};
-
-/**
- * error code used for send_message.
- */
-enum SendMessageResult : int32_t {
-    SUCCESS = 0,
-    NACK = 1, // not acknowledged
-    BUSY = 2, // bus is busy
-    FAIL = 3,
-};
-
-/**
- * CEC All Device Type Value as specified in Table 11-30 of the CEC spec 2.0b.
- */
-enum CecAllDeviceTypeValue : uint8_t {
-    RESERVED_DEVICE_2 = 1 << 0,
-    RESERVED_DEVICE_1 = 1 << 1,
-    CEC_SWITCH_DEVICE = 1 << 2,
-    AUDIO_DEVICE = 1 << 3,
-    PLAYBACK_DEVICE = 1 << 4,
-    TUNER_DEVICE = 1 << 5,
-    RECORDING_DEVICE = 1 << 6,
-    TV_DEVICE   = 1 << 7,
-};
-
-/**
- * CEC All Device Types
- *
- * It is a combination of all supported type from CecAllDeviceTypeValue.
- * For example a record with tuner functionalitye,
- * cecAllDeviceTypes = ((CecAllDeviceTypeValue::RECORDING_DEVICE)
- *                     |(CecAllDeviceTypeValue::TUNER_DEVICE))
- */
-typedef bitfield<CecAllDeviceTypeValue> CecAllDeviceTypes;
-
-/**
- * CEC Versions as specified in CEC Table 11-30 of the CEC spec 2.0b.
- */
-enum CecVersion : int32_t {
-    V_1_3_A   = 0x04,
-    V_1_4   = 0x05, // indicate CEC 1.4, 1.4a or 1.4b
-    V_2_0   = 0x06,
-};
-
-/**
- * Device Feature
- *
- * It is specified in CEC Table 11-30 of the CEC spec 2.0b. As a uint32 there
- * is room for future extensions aka DeviceFeature2 through DeviceFeature4.
- */
-enum CecDeviceFeature : uint32_t {
-    RESERVED = 1 << 0,
-    SOURCE_SUPPORT_ARC_RX = 1 << 1,
-    SINK_SUPPORT_ARC_TX = 1 << 2,
-    SOURCE_SUPPORT_SET_AUDIO_RATE = 1 << 3,
-    SUPPORT_CONTROLLED_BY_DECK = 1 << 4,
-    TV_SUPPORT_SET_OSD_STRINGS = 1 << 5,
-    TV_SUPPORT_RECORD_TV_SCREEN = 1 << 6,
-};
-
-/**
- * CEC Device Features
- *
- * It is a combination of all supported features from CecDeviceFeature.
- * For example a TV with OSD and ARC capabilities,
- *   CecDeviceFeatures = ((CecDeviceFeature::TV_SUPPORT_SET_OSD_STRINGS)
- *                       |(CecDeviceFeature::SINK_SUPPORT_ARC_TX))
- */
-typedef bitfield<CecDeviceFeature> CecDeviceFeatures;
-
-/**
- * Remote Control Profile
- *
- * It is specified in CEC Table 11-30 of the CEC spec 2.0b.
- */
-enum CecRcProfileId : uint8_t {
-    NONE = 0,   // TV doesn’t support any of these profiles
-    RC_PROFILE_1 = 0x02, // minimalistic zapper (low button count)
-    RC_PROFILE_2 = 0x06, // intermediate between profile 1 and profile 3
-    RC_PROFILE_3 = 0x0A, // typical TV remote
-    RC_PROFILE_4 = 0x0E, // extended form of profile 3
-};
-
-/**
- * Remote Control Profile Source
- *
- * It is specified in CEC Table 11-30 of the CEC spec 2.0b.
- */
-enum CecRcProfileSource : uint8_t {
-    MEDIA_CONTEXT_SENSITIVE = 1 << 0, // source can handle UI command 0x11
-    MEDIA_TO = 1 << 1, // source can handle UI command 0x10
-    CONTENTS = 1 << 2, // source can handle UI command 0x0B
-    DEVICE_SETUP = 1 << 3, // source can handle UI command 0x0A
-    DEVICE_ROOT = 1 << 4, // source can handle UI command 0x09
-    SOURCE_FLAG = 1 << 6, // Indicate the profile is for source
-};
-
-/**
- * Remote Control Profile for either TV or Source.
- */
-safe_union CecRcProfile1 {
-    /** CEC remote control profile for TV. */
-    CecRcProfileId profileId;
-
-    /* CEC remote control profile for source
-     *
-     * It is a combination of all supported profiles from CecRcProfileSource.
-     * For example a playback device support root menu and setup menu,
-     * profileSource = ((CecRcProfileSource::DEVICE_ROOT)
-     *                  |(CecRcProfileSource::DEVICE_SETUP)
-     *                  |(CecRcProfileSource::SOURCE_FLAG))
-     */
-    bitfield<CecRcProfileSource> profileSource;
-};
-
-/**
- * CEC Remote Control Profiles
- *
- * CEC 2.0 only use one byte to represent Remote Control Profile.
- */
-struct CecRcProfile {
-   CecRcProfile1 rcProfile1;
-};
-
-/**
- * CEC device power states as specified in CEC Table 11-10 of the CEC spec 2.0b
- */
-enum CecPowerState : int8_t {
-    ON = 0,
-    STANDBY = 1,
-    ON_TO_STANDBY = 2,
-    STANDBY_TO_ON = 4,
-    UNKNOWN = 0xFF, // some devices may not report power status
-};
-
-/** CEC physical address of device */
-typedef uint16_t CecPhysicalAddress;
-
-/**
- * CEC device information
- *
- * It is initially built during addressing specified in CEC section 11.3 of
- * the CEC spec 2.0b. It may be updated with cec devices's status changed.
- */
-struct CecDeviceInfo {
-    /** CEC version which device supports */
-    CecVersion version;
-
-    /** CEC device primary type */
-    CecDeviceType devceType;
-
-    /** CEC all device types */
-    CecAllDeviceTypes allDeviceTypes;
-
-    /** CEC device features */
-    CecDeviceFeatures deviceFeatures;
-
-    /** CEC Device Remote Control Profile */
-    CecRcProfile rcProfile;
-
-    /** CEC Device Vendor ID */
-    uint32_t vendorId;
-
-    /** logical address of device */
-    CecLogicalAddress logicalAddress;
-
-    /** physical of device */
-    CecPhysicalAddress physicalAddress;
-
-    /** power status of device */
-    CecPowerState powerState;
-};
-
-/**
- * Topology Event Type.
- */
-enum CecTopologyEventType : int32_t {
-    DEVICE_ADDED,
-    DEVICE_REMOVED,
-    DEVICE_UPDATED,
-};
-
-/**
- * Topology Event.
- */
-struct CecTopologyEvent {
-    CecTopologyEventType eventType;
-    CecLogicalAddress logicalAddress;
-    CecPhysicalAddress physicalAddress;
-
-    /** true if the event is about the device which the system run on */
-    bool isHostDevice;
-};
-
-
-/**
- * CEC UI Command Codes as specified in CEC Table 11-31 of the CEC spec 2.0b
- */
-enum CecUICommandCodes : int32_t {
-    SELECT_OK = 0x00,
-    UP = 0x01,
-    DOWN = 0x02,
-    LEFT = 0x03,
-    RIGHT = 0x04,
-    RIGHT_UP = 0x05,
-    RIGHT_DOWN = 0x06,
-    LEFT_UP = 0x07,
-    LEFT_DOWN = 0x08,
-    DEVICE_ROOT_MENU = 0x09,
-    DEVICE_SETUP_MENU = 0x0A,
-    CONTENTS_MENU = 0x0B,
-    FAVORITE_MENU = 0x0C,
-    BACK = 0x0D,
-    MEDIA_TOP_MENU = 0x10,
-    MEDIA_CONTEXT_SENSITIVE_MENU = 0x11,
-    NUMBER_ENTRY_MODE = 0x1D,
-    NUMBER_11 = 0x1E,
-    NUMBER_12 = 0x1F,
-    NUMBER_0 = 0x20, // or NUMBER 10
-    NUMBER_1 = 0x21,
-    NUMBER_2 = 0x22,
-    NUMBER_3 = 0x23,
-    NUMBER_4 = 0x24,
-    NUMBER_5 = 0x25,
-    NUMBER_6 = 0x26,
-    NUMBER_7 = 0x27,
-    NUMBER_8 = 0x28,
-    NUMBER_9 = 0x29,
-    DOT = 0x2A,
-    ENTER = 0x2B,
-    CLEAR = 0x2C,
-    NEXT_FAVORITE = 0x2F,
-    CHANNEL_UP = 0x30,
-    CHANNEL_DOWN = 0x31,
-    PREVIOUS_CHANNEL = 0x32,
-    SOUND_SELECT = 0x33,
-    INPUT_SELECT = 0x34,
-    DISPLAY_INFORMATION = 0x35,
-    HELP = 0x36,
-    PAGE_UP = 0x37,
-    PAGE_DOWN = 0x38,
-    POWER = 0x40,
-    VOLUME_UP = 0x41,
-    VOLUME_DOWN = 0x42,
-    MUTE = 0x43,
-    PLAY = 0x44,
-    STOP = 0x45,
-    PAUSE = 0x46,
-    RECORD = 0x47,
-    REWIND = 0x48,
-    FAST_FORWARD = 0x49,
-    EJECT = 0x4A,
-    SKIP_FORWARD = 0x4B,
-    SKIP_BACKWARD = 0x4C,
-    STOP_RECORD = 0x4D,
-    PAUSE_RECORD = 0x4E,
-    ANGLE = 0x50,
-    SUB_PICTURE = 0x51,
-    VIDEO_ON_DEMAND = 0x52,
-    ELECTRONIC_PROGRAM_GUIDE = 0x53,
-    TIMER_PROGRAMMING = 0x54,
-    INITIAL_CONFIGURATION = 0x55,
-    SELECT_BROADCAST_TYPE = 0x56,
-    SELECT_SOUND_PRESENTATION = 0x57,
-    AUDIO_DESCRIPTION = 0x58,
-    INTERNET = 0x59,
-    THREE_DIMENSIONAL_MODE = 0x5A,
-    PLAY_FUNCTION = 0x60,
-    PAUSE_PLAY_FUNCTION = 0x61,
-    RECORD_FUNCTION = 0x62,
-    PAUSE_RECORD_FUNCTION = 0x63,
-    STOP_FUNCTION = 0x64,
-    MUTE_FUNCTION = 0x65,
-    RESTORE_VOLUME_FUNCTION = 0x66,
-    TUNE_FUNCTION = 0x67,
-    SELECT_MEDIA_FUNCTION = 0x68,
-    SELECT_AV_INPUT_FUNCTION = 0x69,
-    SELECT_AUDIO_INPUT_FUNCTION = 0x6A,
-    POWER_TOGGLE_FUNCTION = 0x6B,
-    POWER_OFF_FUNCTION = 0x6C,
-    POWER_ON_FUNCTION = 0x6D,
-    F1 = 0x71, // BLUE
-    F2 = 0x72, // RED
-    F3 = 0x73, // GREEN
-    F4 = 0x74, // YELLOW
-    F5 = 0x75,
-    DATA = 0x76,
-};
-
-/**
- * HDMI port type.
- */
-enum HdmiPortType : int32_t {
-    INPUT = 0,
-    OUTPUT = 1,
-};
-
-/**
- * Options used for IHdmiCec.setOption()
- */
-enum OptionKey : int32_t {
-    /**
-     * When set to false, HAL does not wake up the system upon receiving <Image
-     * View On> or <Text View On>. Used when user changes the TV settings to
-     * disable the auto TV on functionality.
-     * Deprecated since <Image View On> and <Text View On> become mandatory
-     * featrues for CEC device. Use ENABLE_CEC OptionKey to disable CEC
-     * functionality instead.
-     * True by Default
-     */
-    WAKEUP = 1,
-
-    /**
-     * When set to false, all the CEC commands are discarded. if logical address
-     * is ever used, it shall be released. Used when user changes the TV
-     * settings to disable CEC functionality.
-     * True by default.
-     *
-     */
-    ENABLE_CEC = 2,
-
-    /**
-     * Setting this flag to false means Android system must stop handling CEC
-     * service and yield the control over to the microprocessor that is powered
-     * on through the standby mode.The microprocessor shall keep current logical
-     * and physical address. It shall response POLLING_MESSAGE, GIVE_FEATURES,
-     * GIVE_DEVICE_POWER_STATUS,GIVE_DEVICE_VENDOR_ID and GIVE_PHYSICAL_ADDRESS
-     * to allow other CEC devices to build CEC devices map specified in CEC
-     * section 11.3 of the CEC spec 2.0b.
-     * When set to true, the system must gain the control over, hence telling
-     * the microprocessor to start forwarding CEC messages to Android system.
-     * For example, this may be called when system goes in and out of
-     * standby mode to notify the microprocessor that it should start/stop
-     * handling CEC commands on behalf of the system.
-     * True by default.
-     */
-    SYSTEM_CEC_CONTROL = 3,
-
-    /* Option 4 not used */
-};
-
-/**
- * Hdmi port ID.
- *
- * It shall start from 1 which corresponds to HDMI "port 1".
- */
-typedef uint32_t HdmiPortId;
-
-/** Hdmi hotplug event */
-struct HotplugEvent {
-    bool connected;
-    HdmiPortId portId;
-};
-
-/**
- * HDMI port descriptor
- */
-struct HdmiPortInfo {
-    HdmiPortType type;
-    HdmiPortId portId;
-    bool cecSupported;
-    bool arcSupported;
-    CecPhysicalAddress physicalAddress;
-};
-
-enum Result : int32_t {
-    SUCCESS = 0,
-    FAILURE_UNKNOWN = 1,
-    FAILURE_INVALID_ARGS = 2,
-    FAILURE_INVALID_STATE = 3,
-    FAILURE_NOT_SUPPORTED = 4,
-    FAILURE_BUSY = 5,
-};
diff --git a/vibrator/aidl/default/Android.bp b/vibrator/aidl/default/Android.bp
index f9d45bb..b44f11d 100644
--- a/vibrator/aidl/default/Android.bp
+++ b/vibrator/aidl/default/Android.bp
@@ -4,7 +4,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.vibrator-unstable-ndk_platform",
+        "android.hardware.vibrator-V2-ndk_platform",
     ],
     export_include_dirs: ["include"],
     srcs: [
@@ -26,7 +26,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "android.hardware.vibrator-unstable-ndk_platform",
+        "android.hardware.vibrator-V2-ndk_platform",
     ],
     static_libs: [
         "libvibratorexampleimpl",
diff --git a/vibrator/aidl/vts/Android.bp b/vibrator/aidl/vts/Android.bp
index d06b50e..b50b3f7 100644
--- a/vibrator/aidl/vts/Android.bp
+++ b/vibrator/aidl/vts/Android.bp
@@ -9,7 +9,7 @@
         "libbinder",
     ],
     static_libs: [
-        "android.hardware.vibrator-unstable-cpp",
+        "android.hardware.vibrator-V2-cpp",
     ],
     test_suites: [
         "general-tests",
@@ -28,7 +28,7 @@
         "libbinder",
     ],
     static_libs: [
-        "android.hardware.vibrator-unstable-cpp",
+        "android.hardware.vibrator-V2-cpp",
     ],
     test_suites: [
         "general-tests",
diff --git a/vibrator/bench/Android.bp b/vibrator/bench/Android.bp
index c7f824d..3d7bdc5 100644
--- a/vibrator/bench/Android.bp
+++ b/vibrator/bench/Android.bp
@@ -20,7 +20,7 @@
         "benchmark.cpp",
     ],
     shared_libs: [
-        "android.hardware.vibrator-cpp",
+        "android.hardware.vibrator-V1-cpp",
         "android.hardware.vibrator@1.0",
         "android.hardware.vibrator@1.1",
         "android.hardware.vibrator@1.2",
diff --git a/weaver/aidl/default/Android.bp b/weaver/aidl/default/Android.bp
index d936828..8440670 100644
--- a/weaver/aidl/default/Android.bp
+++ b/weaver/aidl/default/Android.bp
@@ -25,7 +25,7 @@
         "Weaver.cpp",
     ],
     shared_libs: [
-        "android.hardware.weaver-ndk_platform",
+        "android.hardware.weaver-V1-ndk_platform",
         "libbase",
         "libbinder_ndk",
     ],
diff --git a/weaver/aidl/vts/Android.bp b/weaver/aidl/vts/Android.bp
index d7e3ab7..7daad8d 100644
--- a/weaver/aidl/vts/Android.bp
+++ b/weaver/aidl/vts/Android.bp
@@ -25,7 +25,7 @@
         "libbinder_ndk",
         "libbase",
     ],
-    static_libs: ["android.hardware.weaver-ndk_platform"],
+    static_libs: ["android.hardware.weaver-V1-ndk_platform"],
     test_suites: [
         "general-tests",
         "vts",
diff --git a/wifi/1.5/IWifiApIface.hal b/wifi/1.5/IWifiApIface.hal
index 9625a6b..c638f1d 100644
--- a/wifi/1.5/IWifiApIface.hal
+++ b/wifi/1.5/IWifiApIface.hal
@@ -37,4 +37,18 @@
      *         |WifiStatusCode.ERROR_UNKNOWN|
      */
     resetToFactoryMacAddress() generates (WifiStatus status);
+
+    /**
+     * Get the names of the bridged AP instances.
+     *
+     * @return status WifiStatus of the operation
+     *         Possible status codes:
+     *         |WifiStatusCode.SUCCESS|,
+     *         |WifiStatusCode.ERROR_WIFI_IFACE_INVALID|,
+     *         |WifiStatusCode.ERROR_UNKNOWN|
+     *
+     * @return instances A vector which contains the names of the bridged AP
+     * instances. Note: Returns an empty vector for a non-bridged AP.
+     */
+    getBridgedInstances() generates (WifiStatus status, vec<string> instances);
 };
diff --git a/wifi/1.5/IWifiChip.hal b/wifi/1.5/IWifiChip.hal
index b2960cf..209190a 100644
--- a/wifi/1.5/IWifiChip.hal
+++ b/wifi/1.5/IWifiChip.hal
@@ -234,4 +234,33 @@
      *         |WifiStatusCode.FAILURE_IFACE_INVALID|
      */
     setCountryCode(int8_t[2] code) generates (WifiStatus status);
+
+    /**
+     * Retrieve list of usable Wifi channels for the specified band &
+     * operational modes.
+     *
+     * The list of usable Wifi channels in a given band depends on factors
+     * like current country code, operational mode (e.g. STA, SAP, CLI, GO,
+     * TDLS, NAN) and any hard restrictons due to DFS, LTE Coex and
+     * MCC(multi channel-concurrency).
+     *
+     * @param band |WifiBand| for which list of usable channels is requested.
+     * @param ifaceModeMask Bitmask of the modes represented by |WifiIfaceMode|
+     *        Bitmask respresents all the modes that the caller is interested
+     *        in (e.g. STA, SAP, CLI, GO, TDLS, NAN).
+     *        Note: Bitmask does not represent concurrency matrix.
+     * @return status WifiStatus of the operation.
+     *         Possible status codes:
+     *         |WifiStatusCode.SUCCESS|,
+     *         |WifiStatusCode.ERROR_NOT_SUPPORTED|,
+     *         |WifiStatusCode.ERROR_INVALID_ARGS|,
+     *         |WifiStatusCode.FAILURE_UNKNOWN|
+     * @return channels List of channels represented by |WifiUsableChannel|
+     *         Each entry represents a channel frequency, bandwidth and
+     *         bitmask of operational modes (e.g. STA, SAP, CLI, GO, TDLS, NAN)
+     *         allowed on that channel.
+     *         Note: Bitmask does not represent concurrency matrix.
+     */
+    getUsableChannels(WifiBand band, bitfield<WifiIfaceMode> ifaceModeMask)
+        generates (WifiStatus status, vec<WifiUsableChannel> channels);
 };
diff --git a/wifi/1.5/default/hidl_struct_util.cpp b/wifi/1.5/default/hidl_struct_util.cpp
index 8e2e647..7cee4cd 100644
--- a/wifi/1.5/default/hidl_struct_util.cpp
+++ b/wifi/1.5/default/hidl_struct_util.cpp
@@ -356,6 +356,129 @@
     return true;
 }
 
+uint32_t convertHidlWifiBandToLegacyMacBand(V1_5::WifiBand hidl_band) {
+    switch (hidl_band) {
+        case V1_5::WifiBand::BAND_24GHZ:
+            return legacy_hal::WLAN_MAC_2_4_BAND;
+        case V1_5::WifiBand::BAND_5GHZ:
+        case V1_5::WifiBand::BAND_5GHZ_DFS:
+        case V1_5::WifiBand::BAND_5GHZ_WITH_DFS:
+            return legacy_hal::WLAN_MAC_5_0_BAND;
+        case V1_5::WifiBand::BAND_24GHZ_5GHZ:
+        case V1_5::WifiBand::BAND_24GHZ_5GHZ_WITH_DFS:
+            return (legacy_hal::WLAN_MAC_2_4_BAND |
+                    legacy_hal::WLAN_MAC_5_0_BAND);
+        case V1_5::WifiBand::BAND_6GHZ:
+            return legacy_hal::WLAN_MAC_6_0_BAND;
+        case V1_5::WifiBand::BAND_5GHZ_6GHZ:
+            return (legacy_hal::WLAN_MAC_5_0_BAND |
+                    legacy_hal::WLAN_MAC_6_0_BAND);
+        case V1_5::WifiBand::BAND_24GHZ_5GHZ_6GHZ:
+        case V1_5::WifiBand::BAND_24GHZ_5GHZ_WITH_DFS_6GHZ:
+            return (legacy_hal::WLAN_MAC_2_4_BAND |
+                    legacy_hal::WLAN_MAC_5_0_BAND |
+                    legacy_hal::WLAN_MAC_6_0_BAND);
+        case V1_5::WifiBand::BAND_60GHZ:
+            return legacy_hal::WLAN_MAC_60_0_BAND;
+        default:
+            return (
+                legacy_hal::WLAN_MAC_2_4_BAND | legacy_hal::WLAN_MAC_5_0_BAND |
+                legacy_hal::WLAN_MAC_6_0_BAND | legacy_hal::WLAN_MAC_60_0_BAND);
+    }
+}
+
+uint32_t convertHidlWifiIfaceModeToLegacy(uint32_t hidl_iface_mask) {
+    uint32_t legacy_iface_mask = 0;
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_STA) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_STA);
+    }
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_SOFTAP) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_SOFTAP);
+    }
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_P2P_CLIENT) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_P2P_CLIENT);
+    }
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_P2P_GO) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_P2P_GO);
+    }
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_NAN) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_NAN);
+    }
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_TDLS) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_TDLS);
+    }
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_MESH) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_MESH);
+    }
+    if (hidl_iface_mask & V1_5::WifiIfaceMode::IFACE_MODE_IBSS) {
+        legacy_iface_mask |= (1 << legacy_hal::WIFI_INTERFACE_IBSS);
+    }
+    return legacy_iface_mask;
+}
+
+uint32_t convertLegacyWifiInterfaceModeToHidl(uint32_t legacy_iface_mask) {
+    uint32_t hidl_iface_mask = 0;
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_STA)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_STA;
+    }
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_SOFTAP)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_SOFTAP;
+    }
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_P2P_CLIENT)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_P2P_CLIENT;
+    }
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_P2P_GO)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_P2P_GO;
+    }
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_NAN)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_NAN;
+    }
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_TDLS)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_TDLS;
+    }
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_MESH)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_MESH;
+    }
+    if (legacy_iface_mask & (1 << legacy_hal::WIFI_INTERFACE_IBSS)) {
+        hidl_iface_mask |= V1_5::WifiIfaceMode::IFACE_MODE_IBSS;
+    }
+    return hidl_iface_mask;
+}
+
+bool convertLegacyWifiUsableChannelToHidl(
+    const legacy_hal::wifi_usable_channel& legacy_usable_channel,
+    V1_5::WifiUsableChannel* hidl_usable_channel) {
+    if (!hidl_usable_channel) {
+        return false;
+    }
+    *hidl_usable_channel = {};
+    hidl_usable_channel->channel = legacy_usable_channel.freq;
+    hidl_usable_channel->channelBandwidth =
+        convertLegacyWifiChannelWidthToHidl(legacy_usable_channel.width);
+    hidl_usable_channel->ifaceModeMask = convertLegacyWifiInterfaceModeToHidl(
+        legacy_usable_channel.iface_mode_mask);
+
+    return true;
+}
+
+bool convertLegacyWifiUsableChannelsToHidl(
+    const std::vector<legacy_hal::wifi_usable_channel>& legacy_usable_channels,
+    std::vector<V1_5::WifiUsableChannel>* hidl_usable_channels) {
+    if (!hidl_usable_channels) {
+        return false;
+    }
+    *hidl_usable_channels = {};
+    for (const auto& legacy_usable_channel : legacy_usable_channels) {
+        V1_5::WifiUsableChannel hidl_usable_channel;
+        if (!convertLegacyWifiUsableChannelToHidl(legacy_usable_channel,
+                                                  &hidl_usable_channel)) {
+            return false;
+        }
+        hidl_usable_channels->push_back(hidl_usable_channel);
+    }
+    return true;
+}
+
 bool convertLegacyWifiMacInfosToHidl(
     const std::vector<legacy_hal::WifiMacInfo>& legacy_mac_infos,
     std::vector<V1_4::IWifiChipEventCallback::RadioModeInfo>*
diff --git a/wifi/1.5/default/hidl_struct_util.h b/wifi/1.5/default/hidl_struct_util.h
index feb47ef..c0d7bf8 100644
--- a/wifi/1.5/default/hidl_struct_util.h
+++ b/wifi/1.5/default/hidl_struct_util.h
@@ -206,6 +206,11 @@
 bool convertLegacyVectorOfRttResultToHidl(
     const std::vector<const legacy_hal::wifi_rtt_result*>& legacy_results,
     std::vector<V1_4::RttResult>* hidl_results);
+uint32_t convertHidlWifiBandToLegacyMacBand(V1_5::WifiBand band);
+uint32_t convertHidlWifiIfaceModeToLegacy(uint32_t hidl_iface_mask);
+bool convertLegacyWifiUsableChannelsToHidl(
+    const std::vector<legacy_hal::wifi_usable_channel>& legacy_usable_channels,
+    std::vector<V1_5::WifiUsableChannel>* hidl_usable_channels);
 }  // namespace hidl_struct_util
 }  // namespace implementation
 }  // namespace V1_5
diff --git a/wifi/1.5/default/wifi_ap_iface.cpp b/wifi/1.5/default/wifi_ap_iface.cpp
index d98aa45..b438a4a 100644
--- a/wifi/1.5/default/wifi_ap_iface.cpp
+++ b/wifi/1.5/default/wifi_ap_iface.cpp
@@ -47,6 +47,12 @@
 
 std::string WifiApIface::getName() { return ifname_; }
 
+void WifiApIface::removeInstance(std::string instance) {
+    instances_.erase(
+        std::remove(instances_.begin(), instances_.end(), instance),
+        instances_.end());
+}
+
 Return<void> WifiApIface::getName(getName_cb hidl_status_cb) {
     return validateAndCall(this, WifiStatusCode::ERROR_WIFI_IFACE_INVALID,
                            &WifiApIface::getNameInternal, hidl_status_cb);
@@ -93,6 +99,13 @@
                            hidl_status_cb);
 }
 
+Return<void> WifiApIface::getBridgedInstances(
+    getBridgedInstances_cb hidl_status_cb) {
+    return validateAndCall(this, WifiStatusCode::ERROR_WIFI_IFACE_INVALID,
+                           &WifiApIface::getBridgedInstancesInternal,
+                           hidl_status_cb);
+}
+
 std::pair<WifiStatus, std::string> WifiApIface::getNameInternal() {
     return {createWifiStatus(WifiStatusCode::SUCCESS), ifname_};
 }
@@ -178,6 +191,15 @@
     }
     return createWifiStatus(WifiStatusCode::SUCCESS);
 }
+
+std::pair<WifiStatus, std::vector<hidl_string>>
+WifiApIface::getBridgedInstancesInternal() {
+    std::vector<hidl_string> instances;
+    for (const auto& instance_name : instances_) {
+        instances.push_back(instance_name);
+    }
+    return {createWifiStatus(WifiStatusCode::SUCCESS), instances};
+}
 }  // namespace implementation
 }  // namespace V1_5
 }  // namespace wifi
diff --git a/wifi/1.5/default/wifi_ap_iface.h b/wifi/1.5/default/wifi_ap_iface.h
index 02fb2d8..8f8387d 100644
--- a/wifi/1.5/default/wifi_ap_iface.h
+++ b/wifi/1.5/default/wifi_ap_iface.h
@@ -43,6 +43,7 @@
     void invalidate();
     bool isValid();
     std::string getName();
+    void removeInstance(std::string instance);
 
     // HIDL methods exposed.
     Return<void> getName(getName_cb hidl_status_cb) override;
@@ -59,6 +60,9 @@
     Return<void> resetToFactoryMacAddress(
         resetToFactoryMacAddress_cb hidl_status_cb) override;
 
+    Return<void> getBridgedInstances(
+        getBridgedInstances_cb hidl_status_cb) override;
+
    private:
     // Corresponding worker functions for the HIDL methods.
     std::pair<WifiStatus, std::string> getNameInternal();
@@ -70,6 +74,8 @@
     std::pair<WifiStatus, std::array<uint8_t, 6>> getFactoryMacAddressInternal(
         const std::string& ifaceName);
     WifiStatus resetToFactoryMacAddressInternal();
+    std::pair<WifiStatus, std::vector<hidl_string>>
+    getBridgedInstancesInternal();
 
     std::string ifname_;
     std::vector<std::string> instances_;
diff --git a/wifi/1.5/default/wifi_chip.cpp b/wifi/1.5/default/wifi_chip.cpp
index 414d74c..2dc7314 100644
--- a/wifi/1.5/default/wifi_chip.cpp
+++ b/wifi/1.5/default/wifi_chip.cpp
@@ -738,6 +738,14 @@
                            code);
 }
 
+Return<void> WifiChip::getUsableChannels(
+    WifiBand band, hidl_bitfield<WifiIfaceMode> ifaceModeMask,
+    getUsableChannels_cb _hidl_cb) {
+    return validateAndCall(this, WifiStatusCode::ERROR_WIFI_CHIP_INVALID,
+                           &WifiChip::getUsableChannelsInternal, _hidl_cb, band,
+                           ifaceModeMask);
+}
+
 void WifiChip::invalidateAndRemoveAllIfaces() {
     invalidateAndClearBridgedApAll();
     invalidateAndClearAll(ap_ifaces_);
@@ -1066,6 +1074,7 @@
         }
     }
     br_ifaces_ap_instances_.erase(ifInstanceName);
+    iface->removeInstance(ifInstanceName);
     return createWifiStatus(WifiStatusCode::SUCCESS);
 }
 
@@ -1490,6 +1499,25 @@
     return createWifiStatusFromLegacyError(legacy_status);
 }
 
+std::pair<WifiStatus, std::vector<WifiUsableChannel>>
+WifiChip::getUsableChannelsInternal(WifiBand band, uint32_t ifaceModeMask) {
+    legacy_hal::wifi_error legacy_status;
+    std::vector<legacy_hal::wifi_usable_channel> legacy_usable_channels;
+    std::tie(legacy_status, legacy_usable_channels) =
+        legacy_hal_.lock()->getUsableChannels(
+            hidl_struct_util::convertHidlWifiBandToLegacyMacBand(band),
+            hidl_struct_util::convertHidlWifiIfaceModeToLegacy(ifaceModeMask));
+    if (legacy_status != legacy_hal::WIFI_SUCCESS) {
+        return {createWifiStatusFromLegacyError(legacy_status), {}};
+    }
+    std::vector<WifiUsableChannel> hidl_usable_channels;
+    if (!hidl_struct_util::convertLegacyWifiUsableChannelsToHidl(
+            legacy_usable_channels, &hidl_usable_channels)) {
+        return {createWifiStatus(WifiStatusCode::ERROR_UNKNOWN), {}};
+    }
+    return {createWifiStatus(WifiStatusCode::SUCCESS), hidl_usable_channels};
+}
+
 WifiStatus WifiChip::handleChipConfiguration(
     /* NONNULL */ std::unique_lock<std::recursive_mutex>* lock,
     ChipModeId mode_id) {
diff --git a/wifi/1.5/default/wifi_chip.h b/wifi/1.5/default/wifi_chip.h
index 7d7a9b5..d542792 100644
--- a/wifi/1.5/default/wifi_chip.h
+++ b/wifi/1.5/default/wifi_chip.h
@@ -180,6 +180,9 @@
         setCoexUnsafeChannels_cb hidl_status_cb) override;
     Return<void> setCountryCode(const hidl_array<int8_t, 2>& code,
                                 setCountryCode_cb _hidl_cb) override;
+    Return<void> getUsableChannels(WifiBand band,
+                                   hidl_bitfield<WifiIfaceMode> ifaceModeMask,
+                                   getUsableChannels_cb _hidl_cb) override;
 
    private:
     void invalidateAndRemoveAllIfaces();
@@ -261,6 +264,8 @@
     WifiStatus setCoexUnsafeChannelsInternal(
         std::vector<CoexUnsafeChannel> unsafe_channels, uint32_t restrictions);
     WifiStatus setCountryCodeInternal(const std::array<int8_t, 2>& code);
+    std::pair<WifiStatus, std::vector<WifiUsableChannel>>
+    getUsableChannelsInternal(WifiBand band, uint32_t ifaceModeMask);
     WifiStatus handleChipConfiguration(
         std::unique_lock<std::recursive_mutex>* lock, ChipModeId mode_id);
     WifiStatus registerDebugRingBufferCallback();
diff --git a/wifi/1.5/default/wifi_legacy_hal.cpp b/wifi/1.5/default/wifi_legacy_hal.cpp
index 3e65ee0..94603b3 100644
--- a/wifi/1.5/default/wifi_legacy_hal.cpp
+++ b/wifi/1.5/default/wifi_legacy_hal.cpp
@@ -36,6 +36,7 @@
 static constexpr uint32_t kLinkLayerStatsDataMpduSizeThreshold = 128;
 static constexpr uint32_t kMaxWakeReasonStatsArraySize = 32;
 static constexpr uint32_t kMaxRingBuffers = 10;
+static constexpr uint32_t kMaxWifiUsableChannels = 256;
 // need a long timeout (1000ms) for chips that unload their driver.
 static constexpr uint32_t kMaxStopCompleteWaitMs = 1000;
 static constexpr char kDriverPropName[] = "wlan.driver.status";
@@ -1636,6 +1637,19 @@
                                                    multiplier);
 }
 
+std::pair<wifi_error, std::vector<wifi_usable_channel>>
+WifiLegacyHal::getUsableChannels(uint32_t band_mask, uint32_t iface_mode_mask) {
+    std::vector<wifi_usable_channel> channels;
+    channels.resize(kMaxWifiUsableChannels);
+    uint32_t size = 0;
+    wifi_error status = global_func_table_.wifi_get_usable_channels(
+        global_handle_, band_mask, iface_mode_mask, channels.size(), &size,
+        reinterpret_cast<wifi_usable_channel*>(channels.data()));
+    CHECK(size >= 0 && size <= kMaxWifiUsableChannels);
+    channels.resize(size);
+    return {status, std::move(channels)};
+}
+
 void WifiLegacyHal::invalidate() {
     global_handle_ = nullptr;
     iface_name_to_handle_.clear();
diff --git a/wifi/1.5/default/wifi_legacy_hal.h b/wifi/1.5/default/wifi_legacy_hal.h
index 0cc1cff..dc641ae 100644
--- a/wifi/1.5/default/wifi_legacy_hal.h
+++ b/wifi/1.5/default/wifi_legacy_hal.h
@@ -36,9 +36,13 @@
 namespace legacy_hal {
 // Import all the types defined inside the legacy HAL header files into this
 // namespace.
+using ::frame_info;
+using ::frame_type;
 using ::FRAME_TYPE_80211_MGMT;
 using ::FRAME_TYPE_ETHERNET_II;
 using ::FRAME_TYPE_UNKNOWN;
+using ::fw_roaming_state_t;
+using ::mac_addr;
 using ::NAN_CHANNEL_24G_BAND;
 using ::NAN_CHANNEL_5G_BAND_HIGH;
 using ::NAN_CHANNEL_5G_BAND_LOW;
@@ -80,8 +84,6 @@
 using ::NAN_RESPONSE_TCA;
 using ::NAN_RESPONSE_TRANSMIT_FOLLOWUP;
 using ::NAN_SECURITY_KEY_INPUT_PASSPHRASE;
-using ::NAN_SECURITY_KEY_INPUT_PASSPHRASE;
-using ::NAN_SECURITY_KEY_INPUT_PMK;
 using ::NAN_SECURITY_KEY_INPUT_PMK;
 using ::NAN_SERVICE_ACCEPT_POLICY_ALL;
 using ::NAN_SERVICE_ACCEPT_POLICY_NONE;
@@ -154,19 +156,20 @@
 using ::RTT_PEER_P2P_CLIENT;
 using ::RTT_PEER_P2P_GO;
 using ::RTT_PEER_STA;
+using ::rtt_peer_type;
 using ::RTT_STATUS_ABORTED;
-using ::RTT_STATUS_FAILURE;
 using ::RTT_STATUS_FAIL_AP_ON_DIFF_CHANNEL;
 using ::RTT_STATUS_FAIL_BUSY_TRY_LATER;
 using ::RTT_STATUS_FAIL_FTM_PARAM_OVERRIDE;
 using ::RTT_STATUS_FAIL_INVALID_TS;
-using ::RTT_STATUS_FAIL_NOT_SCHEDULED_YET;
 using ::RTT_STATUS_FAIL_NO_CAPABILITY;
 using ::RTT_STATUS_FAIL_NO_RSP;
+using ::RTT_STATUS_FAIL_NOT_SCHEDULED_YET;
 using ::RTT_STATUS_FAIL_PROTOCOL;
 using ::RTT_STATUS_FAIL_REJECTED;
 using ::RTT_STATUS_FAIL_SCHEDULE;
 using ::RTT_STATUS_FAIL_TM_TIMEOUT;
+using ::RTT_STATUS_FAILURE;
 using ::RTT_STATUS_INVALID_REQ;
 using ::RTT_STATUS_NAN_RANGING_CONCURRENCY_NOT_SUPPORTED;
 using ::RTT_STATUS_NAN_RANGING_PROTOCOL_FAILURE;
@@ -185,6 +188,8 @@
 using ::RX_PKT_FATE_FW_DROP_OTHER;
 using ::RX_PKT_FATE_FW_QUEUED;
 using ::RX_PKT_FATE_SUCCESS;
+using ::ssid_t;
+using ::transaction_id;
 using ::TX_PKT_FATE_ACKED;
 using ::TX_PKT_FATE_DRV_DROP_INVALID;
 using ::TX_PKT_FATE_DRV_DROP_NOBUFS;
@@ -199,24 +204,31 @@
 using ::WIFI_AC_BK;
 using ::WIFI_AC_VI;
 using ::WIFI_AC_VO;
+using ::wifi_band;
 using ::WIFI_BAND_A;
-using ::WIFI_BAND_ABG;
-using ::WIFI_BAND_ABG_WITH_DFS;
 using ::WIFI_BAND_A_DFS;
 using ::WIFI_BAND_A_WITH_DFS;
+using ::WIFI_BAND_ABG;
+using ::WIFI_BAND_ABG_WITH_DFS;
 using ::WIFI_BAND_BG;
 using ::WIFI_BAND_UNSPECIFIED;
+using ::wifi_cached_scan_results;
 using ::WIFI_CHAN_WIDTH_10;
 using ::WIFI_CHAN_WIDTH_160;
 using ::WIFI_CHAN_WIDTH_20;
 using ::WIFI_CHAN_WIDTH_40;
 using ::WIFI_CHAN_WIDTH_5;
-using ::WIFI_CHAN_WIDTH_5;
 using ::WIFI_CHAN_WIDTH_80;
 using ::WIFI_CHAN_WIDTH_80P80;
 using ::WIFI_CHAN_WIDTH_INVALID;
+using ::wifi_channel_info;
+using ::wifi_channel_stat;
+using ::wifi_channel_width;
+using ::wifi_coex_restriction;
+using ::wifi_coex_unsafe_channel;
 using ::WIFI_DUAL_STA_NON_TRANSIENT_UNBIASED;
 using ::WIFI_DUAL_STA_TRANSIENT_PREFER_PRIMARY;
+using ::wifi_error;
 using ::WIFI_ERROR_BUSY;
 using ::WIFI_ERROR_INVALID_ARGS;
 using ::WIFI_ERROR_INVALID_REQUEST_ID;
@@ -228,12 +240,29 @@
 using ::WIFI_ERROR_TOO_MANY_REQUESTS;
 using ::WIFI_ERROR_UNINITIALIZED;
 using ::WIFI_ERROR_UNKNOWN;
+using ::wifi_gscan_capabilities;
+using ::wifi_hal_fn;
+using ::wifi_information_element;
+using ::WIFI_INTERFACE_IBSS;
+using ::WIFI_INTERFACE_MESH;
+using ::wifi_interface_mode;
+using ::WIFI_INTERFACE_NAN;
+using ::WIFI_INTERFACE_P2P_CLIENT;
+using ::WIFI_INTERFACE_P2P_GO;
+using ::WIFI_INTERFACE_SOFTAP;
+using ::WIFI_INTERFACE_STA;
+using ::WIFI_INTERFACE_TDLS;
+using ::wifi_interface_type;
 using ::WIFI_INTERFACE_TYPE_AP;
 using ::WIFI_INTERFACE_TYPE_NAN;
 using ::WIFI_INTERFACE_TYPE_P2P;
 using ::WIFI_INTERFACE_TYPE_STA;
+using ::WIFI_INTERFACE_UNKNOWN;
+using ::wifi_latency_mode;
 using ::WIFI_LATENCY_MODE_LOW;
 using ::WIFI_LATENCY_MODE_NORMAL;
+using ::wifi_lci_information;
+using ::wifi_lcr_information;
 using ::WIFI_LOGGER_CONNECT_EVENT_SUPPORTED;
 using ::WIFI_LOGGER_DRIVER_DUMP_SUPPORTED;
 using ::WIFI_LOGGER_MEMORY_DUMP_SUPPORTED;
@@ -242,61 +271,34 @@
 using ::WIFI_LOGGER_WAKE_LOCK_SUPPORTED;
 using ::WIFI_MOTION_EXPECTED;
 using ::WIFI_MOTION_NOT_EXPECTED;
+using ::wifi_motion_pattern;
 using ::WIFI_MOTION_UNKNOWN;
+using ::wifi_multi_sta_use_case;
+using ::wifi_power_scenario;
 using ::WIFI_POWER_SCENARIO_ON_BODY_CELL_OFF;
 using ::WIFI_POWER_SCENARIO_ON_BODY_CELL_ON;
 using ::WIFI_POWER_SCENARIO_ON_HEAD_CELL_OFF;
 using ::WIFI_POWER_SCENARIO_ON_HEAD_CELL_ON;
 using ::WIFI_POWER_SCENARIO_VOICE_CALL;
-using ::WIFI_RTT_BW_10;
-using ::WIFI_RTT_BW_160;
-using ::WIFI_RTT_BW_20;
-using ::WIFI_RTT_BW_40;
-using ::WIFI_RTT_BW_5;
-using ::WIFI_RTT_BW_80;
-using ::WIFI_RTT_PREAMBLE_HE;
-using ::WIFI_RTT_PREAMBLE_HT;
-using ::WIFI_RTT_PREAMBLE_LEGACY;
-using ::WIFI_RTT_PREAMBLE_VHT;
-using ::WIFI_SCAN_FLAG_INTERRUPTED;
-using ::WIFI_SUCCESS;
-using ::WLAN_MAC_2_4_BAND;
-using ::WLAN_MAC_5_0_BAND;
-using ::WLAN_MAC_6_0_BAND;
-using ::frame_info;
-using ::frame_type;
-using ::fw_roaming_state_t;
-using ::mac_addr;
-using ::rtt_peer_type;
-using ::ssid_t;
-using ::transaction_id;
-using ::wifi_band;
-using ::wifi_cached_scan_results;
-using ::wifi_channel_info;
-using ::wifi_channel_stat;
-using ::wifi_channel_width;
-using ::wifi_coex_restriction;
-using ::wifi_coex_unsafe_channel;
-using ::wifi_error;
-using ::wifi_gscan_capabilities;
-using ::wifi_hal_fn;
-using ::wifi_information_element;
-using ::wifi_interface_type;
-using ::wifi_latency_mode;
-using ::wifi_lci_information;
-using ::wifi_lcr_information;
-using ::wifi_motion_pattern;
-using ::wifi_multi_sta_use_case;
-using ::wifi_power_scenario;
 using ::wifi_rate;
 using ::wifi_request_id;
 using ::wifi_ring_buffer_status;
 using ::wifi_roaming_capabilities;
 using ::wifi_roaming_config;
 using ::wifi_rtt_bw;
+using ::WIFI_RTT_BW_10;
+using ::WIFI_RTT_BW_160;
+using ::WIFI_RTT_BW_20;
+using ::WIFI_RTT_BW_40;
+using ::WIFI_RTT_BW_5;
+using ::WIFI_RTT_BW_80;
 using ::wifi_rtt_capabilities;
 using ::wifi_rtt_config;
 using ::wifi_rtt_preamble;
+using ::WIFI_RTT_PREAMBLE_HE;
+using ::WIFI_RTT_PREAMBLE_HT;
+using ::WIFI_RTT_PREAMBLE_LEGACY;
+using ::WIFI_RTT_PREAMBLE_VHT;
 using ::wifi_rtt_responder;
 using ::wifi_rtt_result;
 using ::wifi_rtt_status;
@@ -305,9 +307,16 @@
 using ::wifi_rx_report;
 using ::wifi_scan_bucket_spec;
 using ::wifi_scan_cmd_params;
+using ::WIFI_SCAN_FLAG_INTERRUPTED;
 using ::wifi_scan_result;
+using ::WIFI_SUCCESS;
 using ::wifi_tx_packet_fate;
 using ::wifi_tx_report;
+using ::wifi_usable_channel;
+using ::WLAN_MAC_2_4_BAND;
+using ::WLAN_MAC_5_0_BAND;
+using ::WLAN_MAC_60_0_BAND;
+using ::WLAN_MAC_6_0_BAND;
 
 // APF capabilities supported by the iface.
 struct PacketFilterCapabilities {
@@ -693,6 +702,11 @@
     wifi_error setDtimConfig(const std::string& iface_name,
                              uint32_t multiplier);
 
+    // Retrieve the list of usable channels in the requested bands
+    // for the requested modes
+    std::pair<wifi_error, std::vector<wifi_usable_channel>> getUsableChannels(
+        uint32_t band_mask, uint32_t iface_mode_mask);
+
    private:
     // Retrieve interface handles for all the available interfaces.
     wifi_error retrieveIfaceHandles();
diff --git a/wifi/1.5/default/wifi_legacy_hal_stubs.cpp b/wifi/1.5/default/wifi_legacy_hal_stubs.cpp
index 7ba5d9b..6212960 100644
--- a/wifi/1.5/default/wifi_legacy_hal_stubs.cpp
+++ b/wifi/1.5/default/wifi_legacy_hal_stubs.cpp
@@ -159,6 +159,7 @@
     populateStubFor(&hal_fn->wifi_twt_get_stats);
     populateStubFor(&hal_fn->wifi_twt_clear_stats);
     populateStubFor(&hal_fn->wifi_set_dtim_config);
+    populateStubFor(&hal_fn->wifi_get_usable_channels);
     return true;
 }
 }  // namespace legacy_hal
diff --git a/wifi/1.5/types.hal b/wifi/1.5/types.hal
index 9fa5c80..4dff774 100644
--- a/wifi/1.5/types.hal
+++ b/wifi/1.5/types.hal
@@ -24,6 +24,8 @@
 import @1.0::NanCapabilities;
 import @1.2::NanConfigRequestSupplemental;
 import @1.3::StaLinkLayerRadioStats;
+import @1.0::WifiChannelInMhz;
+import @1.0::WifiChannelWidthInMhz;
 
 /**
  * Wifi bands defined in 80211 spec.
@@ -44,6 +46,64 @@
 };
 
 /**
+ * Interface operating modes.
+ */
+enum WifiIfaceMode : uint32_t {
+    /**
+     * Interface operation mode is client.
+     */
+    IFACE_MODE_STA = 1 << 0,
+    /**
+     * Interface operation mode is Hotspot.
+     */
+    IFACE_MODE_SOFTAP = 1 << 1,
+    /**
+     * Interface operation mode is Ad-Hoc network.
+     */
+    IFACE_MODE_IBSS = 1 << 2,
+    /**
+     * Interface operation mode is Wifi Direct Client.
+     */
+    IFACE_MODE_P2P_CLIENT = 1 << 3,
+    /**
+     * Interface operation mode is Wifi Direct Group Owner.
+     */
+    IFACE_MODE_P2P_GO = 1 << 4,
+    /**
+     * Interface operation mode is Aware.
+     */
+    IFACE_MODE_NAN = 1 << 5,
+    /**
+     * Interface operation mode is Mesh network.
+     */
+    IFACE_MODE_MESH = 1 << 6,
+    /**
+     * Interface operation mode is Tunneled Direct Link Setup.
+     */
+    IFACE_MODE_TDLS = 1 << 7,
+};
+
+/**
+ * Wifi usable channel information.
+ */
+struct WifiUsableChannel {
+    /**
+     * Wifi channel freqeuncy in MHz.
+     */
+    WifiChannelInMhz channel;
+
+    /**
+     * Wifi channel bandwidth in MHz.
+     */
+    WifiChannelWidthInMhz channelBandwidth;
+
+    /**
+     * Iface modes feasible on this channel.
+     */
+    bitfield<WifiIfaceMode> ifaceModeMask;
+};
+
+/**
  * NAN configuration request parameters added in the 1.2 HAL. These are supplemental to previous
  * versions.
  */
diff --git a/wifi/1.5/vts/functional/wifi_ap_iface_hidl_test.cpp b/wifi/1.5/vts/functional/wifi_ap_iface_hidl_test.cpp
index e47b14d..424f934 100644
--- a/wifi/1.5/vts/functional/wifi_ap_iface_hidl_test.cpp
+++ b/wifi/1.5/vts/functional/wifi_ap_iface_hidl_test.cpp
@@ -67,8 +67,8 @@
     std::string GetInstanceName() { return GetParam(); }
 };
 
-/*
- * resetToFactoryMacAddress
+/**
+ * resetToFactoryMacAddress in bridged AP mode.
  */
 TEST_P(WifiApIfaceHidlTest, resetToFactoryMacAddressInBridgedModeTest) {
     if (!isBridgedSupport_) GTEST_SKIP() << "Missing Bridged AP support";
@@ -79,8 +79,8 @@
     EXPECT_EQ(WifiStatusCode::SUCCESS, status.code);
 }
 
-/*
- * resetToFactoryMacAddress
+/**
+ * resetToFactoryMacAddress in non-bridged mode
  */
 TEST_P(WifiApIfaceHidlTest, resetToFactoryMacAddressTest) {
     sp<IWifiApIface> wifi_ap_iface = getWifiApIface_1_5(GetInstanceName());
@@ -89,6 +89,34 @@
     EXPECT_EQ(WifiStatusCode::SUCCESS, status.code);
 }
 
+/**
+ * getBridgedInstances in non-bridged mode
+ */
+TEST_P(WifiApIfaceHidlTest, getBridgedInstancesTest) {
+    sp<IWifiApIface> wifi_ap_iface = getWifiApIface_1_5(GetInstanceName());
+    ASSERT_NE(nullptr, wifi_ap_iface.get());
+    const auto& status_and_instances =
+        HIDL_INVOKE(wifi_ap_iface, getBridgedInstances);
+    EXPECT_EQ(WifiStatusCode::SUCCESS, status_and_instances.first.code);
+    const auto& instances = status_and_instances.second;
+    EXPECT_EQ(0, instances.size());
+}
+
+/**
+ * getBridgedInstances in bridged AP mode.
+ */
+TEST_P(WifiApIfaceHidlTest, getBridgedInstancesInBridgedModeTest) {
+    if (!isBridgedSupport_) GTEST_SKIP() << "Missing Bridged AP support";
+    sp<IWifiApIface> wifi_ap_iface =
+        getBridgedWifiApIface_1_5(GetInstanceName());
+    ASSERT_NE(nullptr, wifi_ap_iface.get());
+    const auto& status_and_instances =
+        HIDL_INVOKE(wifi_ap_iface, getBridgedInstances);
+    EXPECT_EQ(WifiStatusCode::SUCCESS, status_and_instances.first.code);
+    const auto& instances = status_and_instances.second;
+    EXPECT_EQ(2, instances.size());
+}
+
 GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(WifiApIfaceHidlTest);
 INSTANTIATE_TEST_SUITE_P(
     PerInstance, WifiApIfaceHidlTest,
diff --git a/wifi/1.5/vts/functional/wifi_chip_hidl_ap_test.cpp b/wifi/1.5/vts/functional/wifi_chip_hidl_ap_test.cpp
index 922c9a7..d6a0408 100644
--- a/wifi/1.5/vts/functional/wifi_chip_hidl_ap_test.cpp
+++ b/wifi/1.5/vts/functional/wifi_chip_hidl_ap_test.cpp
@@ -101,14 +101,23 @@
     ASSERT_NE(nullptr, wifi_ap_iface.get());
     const auto& status_and_name = HIDL_INVOKE(wifi_ap_iface, getName);
     EXPECT_EQ(WifiStatusCode::SUCCESS, status_and_name.first.code);
-    // TODO: b/173999527, add API to get instance name to replace it.
-    std::string br_name = status_and_name.second;  // ap_br_ is the pre-fix
-    std::string instance_name =
-        br_name.substr(6, br_name.length());  // remove the pre-fex
+    std::string br_name = status_and_name.second;
+    const auto& status_and_instances =
+        HIDL_INVOKE(wifi_ap_iface, getBridgedInstances);
+    EXPECT_EQ(WifiStatusCode::SUCCESS, status_and_instances.first.code);
+    const auto& instances = status_and_instances.second;
+    EXPECT_EQ(2, instances.size());
     const auto& status_code =
         HIDL_INVOKE(wifi_chip_, removeIfaceInstanceFromBridgedApIface, br_name,
-                    instance_name);
+                    instances[0]);
     EXPECT_EQ(WifiStatusCode::SUCCESS, status_code.code);
+    const auto& status_and_instances_after_remove =
+        HIDL_INVOKE(wifi_ap_iface, getBridgedInstances);
+    EXPECT_EQ(WifiStatusCode::SUCCESS,
+              status_and_instances_after_remove.first.code);
+    const auto& instances_after_remove =
+        status_and_instances_after_remove.second;
+    EXPECT_EQ(1, instances_after_remove.size());
 }
 
 GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(WifiChipHidlTest);
diff --git a/wifi/1.5/vts/functional/wifi_chip_hidl_test.cpp b/wifi/1.5/vts/functional/wifi_chip_hidl_test.cpp
index 36a8448..509f1bd 100644
--- a/wifi/1.5/vts/functional/wifi_chip_hidl_test.cpp
+++ b/wifi/1.5/vts/functional/wifi_chip_hidl_test.cpp
@@ -45,6 +45,7 @@
 using ::android::hardware::wifi::V1_4::IWifiChipEventCallback;
 using ::android::hardware::wifi::V1_5::IWifiChip;
 using ::android::hardware::wifi::V1_5::WifiBand;
+using ::android::hardware::wifi::V1_5::WifiIfaceMode;
 
 /**
  * Fixture to use for all Wifi chip HIDL interface tests.
@@ -187,6 +188,23 @@
               HIDL_INVOKE(wifi_chip_, setCountryCode, kCountryCode).code);
 }
 
+/* getUsableChannels:
+ * Ensure that a call to getUsableChannels will return with a success
+ * status for valid inputs.
+ */
+TEST_P(WifiChipHidlTest, getUsableChannels) {
+    uint32_t ifaceModeMask =
+        WifiIfaceMode::IFACE_MODE_P2P_CLIENT | WifiIfaceMode::IFACE_MODE_P2P_GO;
+    configureChipForIfaceType(IfaceType::STA, true);
+    WifiBand band = WifiBand::BAND_24GHZ_5GHZ_6GHZ;
+    const auto& statusNonEmpty =
+        HIDL_INVOKE(wifi_chip_, getUsableChannels, band, ifaceModeMask);
+    if (statusNonEmpty.first.code != WifiStatusCode::SUCCESS) {
+        EXPECT_EQ(WifiStatusCode::ERROR_NOT_SUPPORTED,
+                  statusNonEmpty.first.code);
+    }
+}
+
 GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(WifiChipHidlTest);
 INSTANTIATE_TEST_SUITE_P(
     PerInstance, WifiChipHidlTest,