diff --git a/audio/common/all-versions/default/service/Android.mk b/audio/common/all-versions/default/service/Android.mk
index 58987c7..b57a1ae 100644
--- a/audio/common/all-versions/default/service/Android.mk
+++ b/audio/common/all-versions/default/service/Android.mk
@@ -49,6 +49,7 @@
     android.hardware.audio.effect@4.0 \
     android.hardware.audio.effect@5.0 \
     android.hardware.bluetooth.a2dp@1.0 \
+    android.hardware.bluetooth.audio@2.0 \
     android.hardware.soundtrigger@2.0 \
     android.hardware.soundtrigger@2.1 \
     android.hardware.soundtrigger@2.2
diff --git a/audio/common/all-versions/default/service/service.cpp b/audio/common/all-versions/default/service/service.cpp
index 15ce5e0..8a7b2ea 100644
--- a/audio/common/all-versions/default/service/service.cpp
+++ b/audio/common/all-versions/default/service/service.cpp
@@ -23,6 +23,7 @@
 #include <android/hardware/audio/effect/4.0/IEffectsFactory.h>
 #include <android/hardware/audio/effect/5.0/IEffectsFactory.h>
 #include <android/hardware/bluetooth/a2dp/1.0/IBluetoothAudioOffload.h>
+#include <android/hardware/bluetooth/audio/2.0/IBluetoothAudioProvidersFactory.h>
 #include <android/hardware/soundtrigger/2.0/ISoundTriggerHw.h>
 #include <android/hardware/soundtrigger/2.1/ISoundTriggerHw.h>
 #include <android/hardware/soundtrigger/2.2/ISoundTriggerHw.h>
@@ -64,6 +65,11 @@
            registerPassthroughServiceImplementation<soundtrigger::V2_0::ISoundTriggerHw>() != OK,
     ALOGW_IF(fail, "Could not register soundtrigger API 2.0, 2.1 nor 2.2");
 
+    fail = registerPassthroughServiceImplementation<
+                   bluetooth::audio::V2_0::IBluetoothAudioProvidersFactory>() != OK;
+    ALOGW_IF(fail, "Could not register Bluetooth Audio API 2.0");
+
+    // remove the old HIDL when Bluetooth Audio Hal V2 has offloading supported
     fail =
         registerPassthroughServiceImplementation<bluetooth::a2dp::V1_0::IBluetoothAudioOffload>() !=
         OK;
diff --git a/audio/core/all-versions/vts/functional/5.0/AudioPrimaryHidlHalTest.cpp b/audio/core/all-versions/vts/functional/5.0/AudioPrimaryHidlHalTest.cpp
new file mode 100644
index 0000000..bdb17cd
--- /dev/null
+++ b/audio/core/all-versions/vts/functional/5.0/AudioPrimaryHidlHalTest.cpp
@@ -0,0 +1,55 @@
+/*
+ * 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.
+ */
+#include <math.h>
+
+// pull in all the <= 4.0 tests
+#include "4.0/AudioPrimaryHidlHalTest.cpp"
+
+TEST_P(InputStreamTest, SetMicrophoneDirection) {
+    doc::test("Make sure setMicrophoneDirection correctly handles valid & invalid arguments");
+
+    // MicrophoneDirection dir = MicrophoneDirection::FRONT;
+    for (MicrophoneDirection dir : android::hardware::hidl_enum_range<MicrophoneDirection>()) {
+        ASSERT_RESULT(okOrNotSupported, stream->setMicrophoneDirection(dir));
+    }
+
+    // Bogus values
+    for (auto dir : {42, -1, 4}) {
+        ASSERT_RESULT(invalidArgsOrNotSupported,
+                      stream->setMicrophoneDirection(MicrophoneDirection(dir)));
+    }
+}
+
+TEST_P(InputStreamTest, SetMicrophoneFieldDimension) {
+    doc::test("Make sure setMicrophoneFieldDimension correctly handles valid & invalid arguments");
+
+    // Valid zoom values -1.0 -> 1.0
+    float incr = 0.1f;
+    for (float val = -1.0f; val <= 1.0; val += incr) {
+        ASSERT_RESULT(okOrNotSupported, stream->setMicrophoneFieldDimension(val));
+    }
+
+    // Bogus values
+    for (float val = 1.0f + incr; val <= 10.0f; val += incr) {
+        ASSERT_RESULT(invalidArgsOrNotSupported, stream->setMicrophoneFieldDimension(val));
+        ASSERT_RESULT(invalidArgsOrNotSupported, stream->setMicrophoneFieldDimension(-val));
+    }
+    // Some extremes
+    ASSERT_RESULT(invalidArgsOrNotSupported, stream->setMicrophoneFieldDimension(NAN));
+    ASSERT_RESULT(invalidArgsOrNotSupported, stream->setMicrophoneFieldDimension(-NAN));
+    ASSERT_RESULT(invalidArgsOrNotSupported, stream->setMicrophoneFieldDimension(INFINITY));
+    ASSERT_RESULT(invalidArgsOrNotSupported, stream->setMicrophoneFieldDimension(-INFINITY));
+}
diff --git a/audio/core/all-versions/vts/functional/Android.bp b/audio/core/all-versions/vts/functional/Android.bp
index 6498289..88fdb5a 100644
--- a/audio/core/all-versions/vts/functional/Android.bp
+++ b/audio/core/all-versions/vts/functional/Android.bp
@@ -20,9 +20,6 @@
     static_libs: [
         "android.hardware.audio.common.test.utility",
         "libaudiopolicycomponents",
-        "libicuuc",
-        "libicuuc_stubdata",
-        "libandroidicu",
         "libmedia_helper",
         "libxml2",
     ],
@@ -73,8 +70,7 @@
     name: "VtsHalAudioV5_0TargetTest",
     defaults: ["VtsHalAudioTargetTest_defaults"],
     srcs: [
-        // for now the tests are the same as V4
-        "4.0/AudioPrimaryHidlHalTest.cpp",
+        "5.0/AudioPrimaryHidlHalTest.cpp",
     ],
     static_libs: [
         "android.hardware.audio@5.0",
diff --git a/audio/effect/all-versions/vts/functional/Android.bp b/audio/effect/all-versions/vts/functional/Android.bp
index de6cad9..cccb5c8 100644
--- a/audio/effect/all-versions/vts/functional/Android.bp
+++ b/audio/effect/all-versions/vts/functional/Android.bp
@@ -26,9 +26,6 @@
         "android.hidl.allocator@1.0",
         "android.hidl.memory@1.0",
         "libeffectsconfig",
-        "libicuuc",
-        "libicuuc_stubdata",
-        "libandroidicu",
         "libxml2",
     ],
     header_libs: [
diff --git a/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h b/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h
index 7614cad..08cdffa 100644
--- a/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h
+++ b/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h
@@ -198,6 +198,15 @@
 
     {.config =
          {
+             .prop = toInt(VehicleProperty::INFO_DRIVER_SEAT),
+             .access = VehiclePropertyAccess::READ,
+             .changeMode = VehiclePropertyChangeMode::STATIC,
+             .areaConfigs = {VehicleAreaConfig{.areaId = (0)}},
+         },
+     .initialValue = {.int32Values = {SEAT_1_LEFT}}},
+
+    {.config =
+         {
              .prop = toInt(VehicleProperty::INFO_FUEL_DOOR_LOCATION),
              .access = VehiclePropertyAccess::READ,
              .changeMode = VehiclePropertyChangeMode::STATIC,
@@ -321,6 +330,8 @@
              .access = VehiclePropertyAccess::READ,
              .changeMode = VehiclePropertyChangeMode::CONTINUOUS,
              .areaConfigs = {VehicleAreaConfig{.areaId = (0)}},
+             .minSampleRate = 1.0f,
+             .maxSampleRate = 2.0f,
          },
      .initialValue = {.floatValues = {100.0f}}},  // units in meters
 
@@ -328,6 +339,8 @@
          {.prop = toInt(VehicleProperty::TIRE_PRESSURE),
           .access = VehiclePropertyAccess::READ,
           .changeMode = VehiclePropertyChangeMode::CONTINUOUS,
+          .minSampleRate = 1.0f,
+          .maxSampleRate = 2.0f,
           .areaConfigs =
               {VehicleAreaConfig{
                    .areaId = WHEEL_FRONT_LEFT, .minFloatValue = 100.0f, .maxFloatValue = 300.0f,
diff --git a/biometrics/face/1.0/IBiometricsFace.hal b/biometrics/face/1.0/IBiometricsFace.hal
index e3c256a..813f040 100644
--- a/biometrics/face/1.0/IBiometricsFace.hal
+++ b/biometrics/face/1.0/IBiometricsFace.hal
@@ -18,9 +18,6 @@
 
 import IBiometricsFaceClientCallback;
 
-// TODO(b/78538290): Update comments with state machine transitions when ready.
-// TODO(b/78537981): Update comments with callback interaction contract.
-// TODO(b/79496983): Update comments with status returns fully enumerated.
 /**
  * The HAL interface for biometric face authentication.
  */
diff --git a/biometrics/face/1.0/types.hal b/biometrics/face/1.0/types.hal
index 89e809b..b5db966 100644
--- a/biometrics/face/1.0/types.hal
+++ b/biometrics/face/1.0/types.hal
@@ -297,7 +297,7 @@
      * capture plane is too high.
      *
      * The tilt angle is defined as the angle swept out by the user’s face looking up
-     * and down. The pan angle would be zero if the user faced the camera directly.
+     * and down. The tilt angle would be zero if the user faced the camera directly.
      *
      * The user should be informed to look more directly at the camera.
      */
@@ -308,8 +308,8 @@
      * capture plane is too high.
      *
      * The roll angle is defined as the angle swept out by the user’s face tilting their head
-     * towards their shoulders to the left and right. The pan angle would be zero if the user
-     * faced the camera directly.
+     * towards their shoulders to the left and right. The roll angle would be zero if the user's
+     * head is vertically aligned with the camera.
      *
      * The user should be informed to look more directly at the camera.
      */
diff --git a/bluetooth/audio/2.0/Android.bp b/bluetooth/audio/2.0/Android.bp
index 5d67f75..542c812 100644
--- a/bluetooth/audio/2.0/Android.bp
+++ b/bluetooth/audio/2.0/Android.bp
@@ -1,3 +1,5 @@
+// This file is autogenerated by hidl-gen -Landroidbp.
+
 hidl_interface {
     name: "android.hardware.bluetooth.audio@2.0",
     root: "android.hardware",
@@ -11,8 +13,8 @@
         "IBluetoothAudioProvidersFactory.hal",
     ],
     interfaces: [
-        "android.hidl.base@1.0",
         "android.hardware.audio.common@5.0",
+        "android.hidl.base@1.0",
     ],
     types: [
         "AacObjectType",
@@ -34,6 +36,7 @@
         "SbcAllocMethod",
         "SbcBlockLength",
         "SbcChannelMode",
+        "SbcNumSubbands",
         "SbcParameters",
         "SessionType",
         "Status",
diff --git a/bluetooth/audio/2.0/default/A2dpOffloadAudioProvider.cpp b/bluetooth/audio/2.0/default/A2dpOffloadAudioProvider.cpp
new file mode 100644
index 0000000..84fba34
--- /dev/null
+++ b/bluetooth/audio/2.0/default/A2dpOffloadAudioProvider.cpp
@@ -0,0 +1,89 @@
+/*
+ * 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 "BTAudioProviderA2dpOffload"
+
+#include <android-base/logging.h>
+#include <fmq/MessageQueue.h>
+#include <hidl/MQDescriptor.h>
+
+#include "A2dpOffloadAudioProvider.h"
+#include "BluetoothAudioSessionReport.h"
+#include "BluetoothAudioSupportedCodecsDB.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::hardware::kSynchronizedReadWrite;
+using ::android::hardware::MessageQueue;
+using ::android::hardware::Void;
+
+using DataMQ = MessageQueue<uint8_t, kSynchronizedReadWrite>;
+
+A2dpOffloadAudioProvider::A2dpOffloadAudioProvider()
+    : BluetoothAudioProvider() {
+  session_type_ = SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH;
+}
+
+bool A2dpOffloadAudioProvider::isValid(const SessionType& sessionType) {
+  return (sessionType == session_type_);
+}
+
+Return<void> A2dpOffloadAudioProvider::startSession(
+    const sp<IBluetoothAudioPort>& hostIf,
+    const AudioConfiguration& audioConfig, startSession_cb _hidl_cb) {
+  /**
+   * Initialize the audio platform if audioConfiguration is supported.
+   * Save the the IBluetoothAudioPort interface, so that it can be used
+   * later to send stream control commands to the HAL client, based on
+   * interaction with Audio framework.
+   */
+  if (audioConfig.getDiscriminator() !=
+      AudioConfiguration::hidl_discriminator::codecConfig) {
+    LOG(WARNING) << __func__
+                 << " - Invalid Audio Configuration=" << toString(audioConfig);
+    _hidl_cb(BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION,
+             DataMQ::Descriptor());
+    return Void();
+  } else if (!android::bluetooth::audio::IsOffloadCodecConfigurationValid(
+                 session_type_, audioConfig.codecConfig())) {
+    _hidl_cb(BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION,
+             DataMQ::Descriptor());
+    return Void();
+  }
+
+  return BluetoothAudioProvider::startSession(hostIf, audioConfig, _hidl_cb);
+}
+
+Return<void> A2dpOffloadAudioProvider::onSessionReady(
+    startSession_cb _hidl_cb) {
+  BluetoothAudioSessionReport::OnSessionStarted(session_type_, stack_iface_,
+                                                nullptr, audio_config_);
+  _hidl_cb(BluetoothAudioStatus::SUCCESS, DataMQ::Descriptor());
+  return Void();
+}
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/A2dpOffloadAudioProvider.h b/bluetooth/audio/2.0/default/A2dpOffloadAudioProvider.h
new file mode 100644
index 0000000..9f40278
--- /dev/null
+++ b/bluetooth/audio/2.0/default/A2dpOffloadAudioProvider.h
@@ -0,0 +1,47 @@
+/*
+ * 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 "BluetoothAudioProvider.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+class A2dpOffloadAudioProvider : public BluetoothAudioProvider {
+ public:
+  A2dpOffloadAudioProvider();
+
+  bool isValid(const SessionType& sessionType) override;
+
+  Return<void> startSession(const sp<IBluetoothAudioPort>& hostIf,
+                            const AudioConfiguration& audioConfig,
+                            startSession_cb _hidl_cb) override;
+
+ private:
+  Return<void> onSessionReady(startSession_cb _hidl_cb) override;
+};
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/A2dpSoftwareAudioProvider.cpp b/bluetooth/audio/2.0/default/A2dpSoftwareAudioProvider.cpp
new file mode 100644
index 0000000..f71a73e
--- /dev/null
+++ b/bluetooth/audio/2.0/default/A2dpSoftwareAudioProvider.cpp
@@ -0,0 +1,107 @@
+/*
+ * 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 "BTAudioProviderA2dpSoftware"
+
+#include <android-base/logging.h>
+
+#include "A2dpSoftwareAudioProvider.h"
+#include "BluetoothAudioSessionReport.h"
+#include "BluetoothAudioSupportedCodecsDB.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::hardware::Void;
+
+static constexpr uint32_t kPcmFrameSize = 4;  // 16 bits per sample / stereo
+static constexpr uint32_t kPcmFrameCount = 128;
+static constexpr uint32_t kRtpFrameSize = kPcmFrameSize * kPcmFrameCount;
+static constexpr uint32_t kRtpFrameCount = 7;  // max counts by 1 tick (20ms)
+static constexpr uint32_t kBufferSize = kRtpFrameSize * kRtpFrameCount;
+static constexpr uint32_t kBufferCount = 2;  // double buffer
+static constexpr uint32_t kDataMqSize = kBufferSize * kBufferCount;
+
+A2dpSoftwareAudioProvider::A2dpSoftwareAudioProvider()
+    : BluetoothAudioProvider(), mDataMQ(nullptr) {
+  LOG(INFO) << __func__ << " - size of audio buffer " << kDataMqSize
+            << " byte(s)";
+  std::unique_ptr<DataMQ> tempDataMQ(
+      new DataMQ(kDataMqSize, /* EventFlag */ true));
+  if (tempDataMQ && tempDataMQ->isValid()) {
+    mDataMQ = std::move(tempDataMQ);
+    session_type_ = SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH;
+  } else {
+    ALOGE_IF(!tempDataMQ, "failed to allocate data MQ");
+    ALOGE_IF(tempDataMQ && !tempDataMQ->isValid(), "data MQ is invalid");
+  }
+}
+
+bool A2dpSoftwareAudioProvider::isValid(const SessionType& sessionType) {
+  return (sessionType == session_type_ && mDataMQ && mDataMQ->isValid());
+}
+
+Return<void> A2dpSoftwareAudioProvider::startSession(
+    const sp<IBluetoothAudioPort>& hostIf,
+    const AudioConfiguration& audioConfig, startSession_cb _hidl_cb) {
+  /**
+   * Initialize the audio platform if audioConfiguration is supported.
+   * Save the the IBluetoothAudioPort interface, so that it can be used
+   * later to send stream control commands to the HAL client, based on
+   * interaction with Audio framework.
+   */
+  if (audioConfig.getDiscriminator() !=
+      AudioConfiguration::hidl_discriminator::pcmConfig) {
+    LOG(WARNING) << __func__
+                 << " - Invalid Audio Configuration=" << toString(audioConfig);
+    _hidl_cb(BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION,
+             DataMQ::Descriptor());
+    return Void();
+  } else if (!android::bluetooth::audio::IsSoftwarePcmConfigurationValid(
+                 audioConfig.pcmConfig())) {
+    LOG(WARNING) << __func__ << " - Unsupported PCM Configuration="
+                 << toString(audioConfig.pcmConfig());
+    _hidl_cb(BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION,
+             DataMQ::Descriptor());
+    return Void();
+  }
+
+  return BluetoothAudioProvider::startSession(hostIf, audioConfig, _hidl_cb);
+}
+
+Return<void> A2dpSoftwareAudioProvider::onSessionReady(
+    startSession_cb _hidl_cb) {
+  if (mDataMQ && mDataMQ->isValid()) {
+    BluetoothAudioSessionReport::OnSessionStarted(
+        session_type_, stack_iface_, mDataMQ->getDesc(), audio_config_);
+    _hidl_cb(BluetoothAudioStatus::SUCCESS, *mDataMQ->getDesc());
+  } else {
+    _hidl_cb(BluetoothAudioStatus::FAILURE, DataMQ::Descriptor());
+  }
+  return Void();
+}
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/A2dpSoftwareAudioProvider.h b/bluetooth/audio/2.0/default/A2dpSoftwareAudioProvider.h
new file mode 100644
index 0000000..228a928
--- /dev/null
+++ b/bluetooth/audio/2.0/default/A2dpSoftwareAudioProvider.h
@@ -0,0 +1,58 @@
+/*
+ * 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 <fmq/MessageQueue.h>
+#include <hidl/MQDescriptor.h>
+
+#include "BluetoothAudioProvider.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::hardware::kSynchronizedReadWrite;
+using ::android::hardware::MessageQueue;
+
+using DataMQ = MessageQueue<uint8_t, kSynchronizedReadWrite>;
+
+class A2dpSoftwareAudioProvider : public BluetoothAudioProvider {
+ public:
+  A2dpSoftwareAudioProvider();
+
+  bool isValid(const SessionType& sessionType) override;
+
+  Return<void> startSession(const sp<IBluetoothAudioPort>& hostIf,
+                            const AudioConfiguration& audioConfig,
+                            startSession_cb _hidl_cb) override;
+
+ private:
+  // audio data queue for software encoding
+  std::unique_ptr<DataMQ> mDataMQ;
+
+  Return<void> onSessionReady(startSession_cb _hidl_cb) override;
+};
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/Android.bp b/bluetooth/audio/2.0/default/Android.bp
new file mode 100644
index 0000000..1dfc05d
--- /dev/null
+++ b/bluetooth/audio/2.0/default/Android.bp
@@ -0,0 +1,48 @@
+cc_library_shared {
+    name: "android.hardware.bluetooth.audio@2.0-impl",
+    defaults: ["hidl_defaults"],
+    vendor: true,
+    relative_install_path: "hw",
+    srcs: [
+        "BluetoothAudioProvidersFactory.cpp",
+        "BluetoothAudioProvider.cpp",
+        "A2dpOffloadAudioProvider.cpp",
+        "A2dpSoftwareAudioProvider.cpp",
+        "HearingAidAudioProvider.cpp",
+    ],
+    header_libs: ["libhardware_headers"],
+    shared_libs: [
+        "android.hardware.audio.common@5.0",
+        "android.hardware.bluetooth.audio@2.0",
+        "libbase",
+        "libbluetooth_audio_session",
+        "libcutils",
+        "libfmq",
+        "libhidlbase",
+        "libhidltransport",
+        "liblog",
+        "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",
+        "libhidltransport",
+        "liblog",
+        "libutils",
+    ],
+}
diff --git a/bluetooth/audio/2.0/default/BluetoothAudioProvider.cpp b/bluetooth/audio/2.0/default/BluetoothAudioProvider.cpp
new file mode 100644
index 0000000..ab8973e
--- /dev/null
+++ b/bluetooth/audio/2.0/default/BluetoothAudioProvider.cpp
@@ -0,0 +1,143 @@
+/*
+ * 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 "BTAudioProviderStub"
+
+#include <android-base/logging.h>
+
+#include "BluetoothAudioProvider.h"
+#include "BluetoothAudioSessionReport.h"
+#include "BluetoothAudioSupportedCodecsDB.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::hardware::kSynchronizedReadWrite;
+using ::android::hardware::MessageQueue;
+using ::android::hardware::Void;
+
+using DataMQ = MessageQueue<uint8_t, kSynchronizedReadWrite>;
+
+void BluetoothAudioDeathRecipient::serviceDied(
+    uint64_t cookie __unused,
+    const wp<::android::hidl::base::V1_0::IBase>& who __unused) {
+  LOG(ERROR) << "BluetoothAudioDeathRecipient::" << __func__
+             << " - BluetoothAudio Service died";
+  provider_->endSession();
+}
+
+BluetoothAudioProvider::BluetoothAudioProvider()
+    : death_recipient_(new BluetoothAudioDeathRecipient(this)),
+      session_type_(SessionType::UNKNOWN),
+      audio_config_({}) {}
+
+Return<void> BluetoothAudioProvider::startSession(
+    const sp<IBluetoothAudioPort>& hostIf,
+    const AudioConfiguration& audioConfig, startSession_cb _hidl_cb) {
+  if (hostIf == nullptr) {
+    _hidl_cb(BluetoothAudioStatus::FAILURE, DataMQ::Descriptor());
+    return Void();
+  }
+
+  /**
+   * Initialize the audio platform if audioConfiguration is supported.
+   * Save the the IBluetoothAudioPort interface, so that it can be used
+   * later to send stream control commands to the HAL client, based on
+   * interaction with Audio framework.
+   */
+  audio_config_ = audioConfig;
+  stack_iface_ = hostIf;
+  stack_iface_->linkToDeath(death_recipient_, 0);
+
+  LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
+            << ", AudioConfiguration=[" << toString(audio_config_) << "]";
+
+  onSessionReady(_hidl_cb);
+  return Void();
+}
+
+Return<void> BluetoothAudioProvider::streamStarted(
+    BluetoothAudioStatus status) {
+  LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
+            << ", status=" << toString(status);
+
+  /**
+   * Streaming on control path has started,
+   * HAL server should start the streaming on data path.
+   */
+  if (stack_iface_) {
+    BluetoothAudioSessionReport::ReportControlStatus(session_type_, true,
+                                                     status);
+  } else {
+    LOG(WARNING) << __func__ << " - SessionType=" << toString(session_type_)
+                 << ", status=" << toString(status) << " has NO session";
+  }
+
+  return Void();
+}
+
+Return<void> BluetoothAudioProvider::streamSuspended(
+    BluetoothAudioStatus status) {
+  LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
+            << ", status=" << toString(status);
+
+  /**
+   * Streaming on control path has suspend,
+   * HAL server should suspend the streaming on data path.
+   */
+  if (stack_iface_) {
+    BluetoothAudioSessionReport::ReportControlStatus(session_type_, false,
+                                                     status);
+  } else {
+    LOG(WARNING) << __func__ << " - SessionType=" << toString(session_type_)
+                 << ", status=" << toString(status) << " has NO session";
+  }
+
+  return Void();
+}
+
+Return<void> BluetoothAudioProvider::endSession() {
+  LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_);
+
+  if (stack_iface_) {
+    BluetoothAudioSessionReport::OnSessionEnded(session_type_);
+    stack_iface_->unlinkToDeath(death_recipient_);
+  } else {
+    LOG(INFO) << __func__ << " - SessionType=" << toString(session_type_)
+              << " has NO session";
+  }
+
+  /**
+   * Clean up the audio platform as remote audio device is no
+   * longer active
+   */
+  stack_iface_ = nullptr;
+  audio_config_ = {};
+
+  return Void();
+}
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/BluetoothAudioProvider.h b/bluetooth/audio/2.0/default/BluetoothAudioProvider.h
new file mode 100644
index 0000000..02bf2b9
--- /dev/null
+++ b/bluetooth/audio/2.0/default/BluetoothAudioProvider.h
@@ -0,0 +1,79 @@
+/*
+ * 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/2.0/IBluetoothAudioProvider.h>
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::sp;
+using ::android::hardware::bluetooth::audio::V2_0::AudioConfiguration;
+using ::android::hardware::bluetooth::audio::V2_0::SessionType;
+
+using BluetoothAudioStatus =
+    ::android::hardware::bluetooth::audio::V2_0::Status;
+
+class BluetoothAudioDeathRecipient;
+
+class BluetoothAudioProvider : public IBluetoothAudioProvider {
+ public:
+  BluetoothAudioProvider();
+  ~BluetoothAudioProvider() = default;
+
+  virtual bool isValid(const SessionType& sessionType) = 0;
+
+  Return<void> startSession(const sp<IBluetoothAudioPort>& hostIf,
+                            const AudioConfiguration& audioConfig,
+                            startSession_cb _hidl_cb) override;
+  Return<void> streamStarted(BluetoothAudioStatus status) override;
+  Return<void> streamSuspended(BluetoothAudioStatus status) override;
+  Return<void> endSession() override;
+
+ protected:
+  sp<BluetoothAudioDeathRecipient> death_recipient_;
+
+  SessionType session_type_;
+  AudioConfiguration audio_config_;
+  sp<IBluetoothAudioPort> stack_iface_;
+
+  virtual Return<void> onSessionReady(startSession_cb _hidl_cb) = 0;
+};
+
+class BluetoothAudioDeathRecipient : public hidl_death_recipient {
+ public:
+  BluetoothAudioDeathRecipient(const sp<BluetoothAudioProvider> provider)
+      : provider_(provider) {}
+
+  virtual void serviceDied(
+      uint64_t cookie,
+      const wp<::android::hidl::base::V1_0::IBase>& who) override;
+
+ private:
+  sp<BluetoothAudioProvider> provider_;
+};
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/BluetoothAudioProvidersFactory.cpp b/bluetooth/audio/2.0/default/BluetoothAudioProvidersFactory.cpp
new file mode 100644
index 0000000..df89cc8
--- /dev/null
+++ b/bluetooth/audio/2.0/default/BluetoothAudioProvidersFactory.cpp
@@ -0,0 +1,106 @@
+/*
+ * 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 "BTAudioProvidersFactory"
+
+#include <android-base/logging.h>
+
+#include "BluetoothAudioProvidersFactory.h"
+#include "BluetoothAudioSupportedCodecsDB.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::hardware::hidl_vec;
+using ::android::hardware::Void;
+
+A2dpSoftwareAudioProvider
+    BluetoothAudioProvidersFactory::a2dp_software_provider_instance_;
+A2dpOffloadAudioProvider
+    BluetoothAudioProvidersFactory::a2dp_offload_provider_instance_;
+HearingAidAudioProvider
+    BluetoothAudioProvidersFactory::hearing_aid_provider_instance_;
+
+Return<void> BluetoothAudioProvidersFactory::openProvider(
+    const SessionType sessionType, openProvider_cb _hidl_cb) {
+  LOG(INFO) << __func__ << " - SessionType=" << toString(sessionType);
+  BluetoothAudioStatus status = BluetoothAudioStatus::SUCCESS;
+  BluetoothAudioProvider* provider = nullptr;
+  switch (sessionType) {
+    case SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH:
+      provider = &a2dp_software_provider_instance_;
+      break;
+    case SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH:
+      provider = &a2dp_offload_provider_instance_;
+      break;
+    case SessionType::HEARING_AID_SOFTWARE_ENCODING_DATAPATH:
+      provider = &hearing_aid_provider_instance_;
+      break;
+    default:
+      status = BluetoothAudioStatus::FAILURE;
+  }
+  if (provider == nullptr || !provider->isValid(sessionType)) {
+    provider = nullptr;
+    status = BluetoothAudioStatus::FAILURE;
+    LOG(ERROR) << __func__ << " - SessionType=" << toString(sessionType)
+               << ", status=" << toString(status);
+  }
+  _hidl_cb(status, provider);
+  return Void();
+}
+
+Return<void> BluetoothAudioProvidersFactory::getProviderCapabilities(
+    const SessionType sessionType, getProviderCapabilities_cb _hidl_cb) {
+  hidl_vec<AudioCapabilities> audio_capabilities =
+      hidl_vec<AudioCapabilities>(0);
+  if (sessionType == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
+    std::vector<CodecCapabilities> db_codec_capabilities =
+        android::bluetooth::audio::GetOffloadCodecCapabilities(sessionType);
+    if (db_codec_capabilities.size()) {
+      audio_capabilities.resize(db_codec_capabilities.size());
+      for (int i = 0; i < db_codec_capabilities.size(); ++i) {
+        audio_capabilities[i].codecCapabilities(db_codec_capabilities[i]);
+      }
+    }
+  } else if (sessionType != SessionType::UNKNOWN) {
+    std::vector<PcmParameters> db_pcm_capabilities =
+        android::bluetooth::audio::GetSoftwarePcmCapabilities();
+    if (db_pcm_capabilities.size() == 1) {
+      audio_capabilities.resize(1);
+      audio_capabilities[0].pcmCapabilities(db_pcm_capabilities[0]);
+    }
+  }
+  LOG(INFO) << __func__ << " - SessionType=" << toString(sessionType)
+            << " supports " << audio_capabilities.size() << " codecs";
+  _hidl_cb(audio_capabilities);
+  return Void();
+}
+
+IBluetoothAudioProvidersFactory* HIDL_FETCH_IBluetoothAudioProvidersFactory(
+    const char* /* name */) {
+  return new BluetoothAudioProvidersFactory();
+}
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/BluetoothAudioProvidersFactory.h b/bluetooth/audio/2.0/default/BluetoothAudioProvidersFactory.h
new file mode 100644
index 0000000..0b51536
--- /dev/null
+++ b/bluetooth/audio/2.0/default/BluetoothAudioProvidersFactory.h
@@ -0,0 +1,58 @@
+/*
+ * 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/2.0/IBluetoothAudioProvidersFactory.h>
+
+#include "A2dpOffloadAudioProvider.h"
+#include "A2dpSoftwareAudioProvider.h"
+#include "BluetoothAudioProvider.h"
+#include "HearingAidAudioProvider.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+class BluetoothAudioProvidersFactory : public IBluetoothAudioProvidersFactory {
+ public:
+  BluetoothAudioProvidersFactory() {}
+
+  Return<void> openProvider(const SessionType sessionType,
+                            openProvider_cb _hidl_cb) override;
+
+  Return<void> getProviderCapabilities(
+      const SessionType sessionType,
+      getProviderCapabilities_cb _hidl_cb) override;
+
+ private:
+  static A2dpSoftwareAudioProvider a2dp_software_provider_instance_;
+  static A2dpOffloadAudioProvider a2dp_offload_provider_instance_;
+  static HearingAidAudioProvider hearing_aid_provider_instance_;
+};
+
+extern "C" IBluetoothAudioProvidersFactory*
+HIDL_FETCH_IBluetoothAudioProvidersFactory(const char* name);
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/HearingAidAudioProvider.cpp b/bluetooth/audio/2.0/default/HearingAidAudioProvider.cpp
new file mode 100644
index 0000000..e91cf8a
--- /dev/null
+++ b/bluetooth/audio/2.0/default/HearingAidAudioProvider.cpp
@@ -0,0 +1,106 @@
+/*
+ * 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 "BTAudioProviderHearingAid"
+
+#include <android-base/logging.h>
+
+#include "BluetoothAudioSessionReport.h"
+#include "BluetoothAudioSupportedCodecsDB.h"
+#include "HearingAidAudioProvider.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::bluetooth::audio::BluetoothAudioSessionReport;
+using ::android::hardware::Void;
+
+static constexpr uint32_t kPcmFrameSize = 4;  // 16 bits per sample / stereo
+static constexpr uint32_t kPcmFrameCount = 128;
+static constexpr uint32_t kRtpFrameSize = kPcmFrameSize * kPcmFrameCount;
+static constexpr uint32_t kRtpFrameCount = 7;  // max counts by 1 tick (20ms)
+static constexpr uint32_t kBufferSize = kRtpFrameSize * kRtpFrameCount;
+static constexpr uint32_t kBufferCount = 1;  // single buffer
+static constexpr uint32_t kDataMqSize = kBufferSize * kBufferCount;
+
+HearingAidAudioProvider::HearingAidAudioProvider()
+    : BluetoothAudioProvider(), mDataMQ(nullptr) {
+  LOG(INFO) << __func__ << " - size of audio buffer " << kDataMqSize
+            << " byte(s)";
+  std::unique_ptr<DataMQ> tempDataMQ(
+      new DataMQ(kDataMqSize, /* EventFlag */ true));
+  if (tempDataMQ && tempDataMQ->isValid()) {
+    mDataMQ = std::move(tempDataMQ);
+    session_type_ = SessionType::HEARING_AID_SOFTWARE_ENCODING_DATAPATH;
+  } else {
+    ALOGE_IF(!tempDataMQ, "failed to allocate data MQ");
+    ALOGE_IF(tempDataMQ && !tempDataMQ->isValid(), "data MQ is invalid");
+  }
+}
+
+bool HearingAidAudioProvider::isValid(const SessionType& sessionType) {
+  return (sessionType == session_type_ && mDataMQ && mDataMQ->isValid());
+}
+
+Return<void> HearingAidAudioProvider::startSession(
+    const sp<IBluetoothAudioPort>& hostIf,
+    const AudioConfiguration& audioConfig, startSession_cb _hidl_cb) {
+  /**
+   * Initialize the audio platform if audioConfiguration is supported.
+   * Save the the IBluetoothAudioPort interface, so that it can be used
+   * later to send stream control commands to the HAL client, based on
+   * interaction with Audio framework.
+   */
+  if (audioConfig.getDiscriminator() !=
+      AudioConfiguration::hidl_discriminator::pcmConfig) {
+    LOG(WARNING) << __func__
+                 << " - Invalid Audio Configuration=" << toString(audioConfig);
+    _hidl_cb(BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION,
+             DataMQ::Descriptor());
+    return Void();
+  } else if (!android::bluetooth::audio::IsSoftwarePcmConfigurationValid(
+                 audioConfig.pcmConfig())) {
+    LOG(WARNING) << __func__ << " - Unsupported PCM Configuration="
+                 << toString(audioConfig.pcmConfig());
+    _hidl_cb(BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION,
+             DataMQ::Descriptor());
+    return Void();
+  }
+
+  return BluetoothAudioProvider::startSession(hostIf, audioConfig, _hidl_cb);
+}
+
+Return<void> HearingAidAudioProvider::onSessionReady(startSession_cb _hidl_cb) {
+  if (mDataMQ && mDataMQ->isValid()) {
+    BluetoothAudioSessionReport::OnSessionStarted(
+        session_type_, stack_iface_, mDataMQ->getDesc(), audio_config_);
+    _hidl_cb(BluetoothAudioStatus::SUCCESS, *mDataMQ->getDesc());
+  } else {
+    _hidl_cb(BluetoothAudioStatus::FAILURE, DataMQ::Descriptor());
+  }
+  return Void();
+}
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/HearingAidAudioProvider.h b/bluetooth/audio/2.0/default/HearingAidAudioProvider.h
new file mode 100644
index 0000000..117eb32
--- /dev/null
+++ b/bluetooth/audio/2.0/default/HearingAidAudioProvider.h
@@ -0,0 +1,58 @@
+/*
+ * 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 <fmq/MessageQueue.h>
+#include <hidl/MQDescriptor.h>
+
+#include "BluetoothAudioProvider.h"
+
+namespace android {
+namespace hardware {
+namespace bluetooth {
+namespace audio {
+namespace V2_0 {
+namespace implementation {
+
+using ::android::hardware::kSynchronizedReadWrite;
+using ::android::hardware::MessageQueue;
+
+using DataMQ = MessageQueue<uint8_t, kSynchronizedReadWrite>;
+
+class HearingAidAudioProvider : public BluetoothAudioProvider {
+ public:
+  HearingAidAudioProvider();
+
+  bool isValid(const SessionType& sessionType) override;
+
+  Return<void> startSession(const sp<IBluetoothAudioPort>& hostIf,
+                            const AudioConfiguration& audioConfig,
+                            startSession_cb _hidl_cb) override;
+
+ private:
+  // audio data queue for software encoding
+  std::unique_ptr<DataMQ> mDataMQ;
+
+  Return<void> onSessionReady(startSession_cb _hidl_cb) override;
+};
+
+}  // namespace implementation
+}  // namespace V2_0
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace hardware
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSession.cpp b/bluetooth/audio/2.0/default/session/BluetoothAudioSession.cpp
new file mode 100644
index 0000000..d60e732
--- /dev/null
+++ b/bluetooth/audio/2.0/default/session/BluetoothAudioSession.cpp
@@ -0,0 +1,427 @@
+/*
+ * 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"
+
+#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 kWritePollMs = 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_);
+  if (IsSessionReady()) {
+    ReportSessionStatus();
+  }
+  audio_config_ = (session_type_ == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH
+                       ? kInvalidOffloadAudioConfiguration
+                       : kInvalidSoftwareAudioConfiguration);
+  stack_iface_ = nullptr;
+  UpdateDataPath(nullptr);
+}
+
+// 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);
+  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 writting %zu/%zu failed", totalWritten, bytes);
+        return totalWritten;
+      }
+      totalWritten += availableToWrite;
+    } else if (ms_timeout >= kWritePollMs) {
+      lock.unlock();
+      usleep(kWritePollMs * 1000);
+      ms_timeout -= kWritePollMs;
+    } else {
+      ALOGD("data %zu/%zu overflow %d ms", totalWritten, bytes,
+            (kFmqSendTimeoutMs - ms_timeout));
+      return totalWritten;
+    }
+  } while (totalWritten < bytes);
+  return totalWritten;
+}
+
+std::unique_ptr<BluetoothAudioSessionInstance>
+    BluetoothAudioSessionInstance::instance_ptr =
+        std::unique_ptr<BluetoothAudioSessionInstance>(
+            new BluetoothAudioSessionInstance());
+
+// API to fetch the session of A2DP / Hearing Aid
+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/2.0/default/session/BluetoothAudioSession.h b/bluetooth/audio/2.0/default/session/BluetoothAudioSession.h
new file mode 100644
index 0000000..85e8742
--- /dev/null
+++ b/bluetooth/audio/2.0/default/session/BluetoothAudioSession.h
@@ -0,0 +1,185 @@
+/*
+ * 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 <mutex>
+#include <unordered_map>
+
+#include <android/hardware/bluetooth/audio/2.0/IBluetoothAudioPort.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::AudioConfiguration;
+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_0::PcmParameters;
+using ::android::hardware::bluetooth::audio::V2_0::SampleRate;
+using ::android::hardware::bluetooth::audio::V2_0::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 agian.
+  std::recursive_mutex mutex_;
+  SessionType session_type_;
+
+  // audio control path to use for both software and offloading
+  sp<IBluetoothAudioPort> stack_iface_;
+  // audio data path (FMQ) for software encoding
+  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);
+
+  static constexpr PcmParameters kInvalidPcmParameters = {
+      .sampleRate = SampleRate::RATE_UNKNOWN,
+      .bitsPerSample = BitsPerSample::BITS_UNKNOWN,
+      .channelMode = ChannelMode::UNKNOWN};
+  // 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 of A2DP / Hearing Aid
+  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/2.0/default/session/BluetoothAudioSessionControl.h b/bluetooth/audio/2.0/default/session/BluetoothAudioSessionControl.h
new file mode 100644
index 0000000..6707765
--- /dev/null
+++ b/bluetooth/audio/2.0/default/session/BluetoothAudioSessionControl.h
@@ -0,0 +1,143 @@
+/*
+ * 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.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;
+  }
+};
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/bluetooth/audio/2.0/default/session/BluetoothAudioSessionReport.h b/bluetooth/audio/2.0/default/session/BluetoothAudioSessionReport.h
new file mode 100644
index 0000000..5a83ae2
--- /dev/null
+++ b/bluetooth/audio/2.0/default/session/BluetoothAudioSessionReport.h
@@ -0,0 +1,63 @@
+/*
+ * 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.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 outputs
+  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/2.0/default/session/BluetoothAudioSupportedCodecsDB.cpp b/bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.cpp
new file mode 100644
index 0000000..292e28b
--- /dev/null
+++ b/bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.cpp
@@ -0,0 +1,413 @@
+/*
+ * 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"
+
+#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::SampleRate;
+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;
+
+// Default Supported PCM Parameters
+static const PcmParameters kDefaultSoftwarePcmCapabilities = {
+    .sampleRate = static_cast<SampleRate>(
+        SampleRate::RATE_44100 | SampleRate::RATE_48000 |
+        SampleRate::RATE_88200 | SampleRate::RATE_96000 |
+        SampleRate::RATE_16000 | SampleRate::RATE_24000),
+    .channelMode =
+        static_cast<ChannelMode>(ChannelMode::MONO | ChannelMode::STEREO),
+    .bitsPerSample = static_cast<BitsPerSample>(BitsPerSample::BITS_16 |
+                                                BitsPerSample::BITS_24 |
+                                                BitsPerSample::BITS_32)};
+
+// Default Supported Codecs
+// SBC: mSampleRate:(44100), mBitsPerSample:(16), mChannelMode:(MONO|STEREO)
+//      all blocks | subbands 8 | Loudness
+static const SbcParameters kDefaultOffloadSbcCapability = {
+    .sampleRate = 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 = SampleRate::RATE_44100,
+    .channelMode = ChannelMode::STEREO,
+    .variableBitRateEnabled = AacVariableBitRate::DISABLED,
+    .bitsPerSample = BitsPerSample::BITS_16};
+
+// LDAC: mSampleRate:(44100|48000|88200|96000), mBitsPerSample:(16|24|32),
+//       mChannelMode:(DUAL|STEREO)
+static const LdacParameters kDefaultOffloadLdacCapability = {
+    .sampleRate = static_cast<SampleRate>(
+        SampleRate::RATE_44100 | SampleRate::RATE_48000 |
+        SampleRate::RATE_88200 | 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<SampleRate>(SampleRate::RATE_44100 |
+                                          SampleRate::RATE_48000),
+    .bitsPerSample = BitsPerSample::BITS_16,
+    .channelMode = ChannelMode::STEREO};
+
+// aptX HD: mSampleRate:(44100|48000), mBitsPerSample:(24),
+//          mChannelMode:(STEREO)
+static const AptxParameters kDefaultOffloadAptxHdCapability = {
+    .sampleRate = static_cast<SampleRate>(SampleRate::RATE_44100 |
+                                          SampleRate::RATE_48000),
+    .bitsPerSample = BitsPerSample::BITS_24,
+    .channelMode = ChannelMode::STEREO};
+
+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<PcmParameters> GetSoftwarePcmCapabilities() {
+  return std::vector<PcmParameters>(1, kDefaultSoftwarePcmCapabilities);
+}
+
+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 PcmParameters& pcm_config) {
+  if ((pcm_config.sampleRate != SampleRate::RATE_44100 &&
+       pcm_config.sampleRate != SampleRate::RATE_48000 &&
+       pcm_config.sampleRate != SampleRate::RATE_88200 &&
+       pcm_config.sampleRate != SampleRate::RATE_96000 &&
+       pcm_config.sampleRate != SampleRate::RATE_16000 &&
+       pcm_config.sampleRate != 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 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/2.0/default/session/BluetoothAudioSupportedCodecsDB.h b/bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.h
new file mode 100644
index 0000000..e71dc8a
--- /dev/null
+++ b/bluetooth/audio/2.0/default/session/BluetoothAudioSupportedCodecsDB.h
@@ -0,0 +1,40 @@
+/*
+ * 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/2.0/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_0::PcmParameters;
+using ::android::hardware::bluetooth::audio::V2_0::SessionType;
+
+std::vector<PcmParameters> GetSoftwarePcmCapabilities();
+std::vector<CodecCapabilities> GetOffloadCodecCapabilities(
+    const SessionType& session_type);
+
+bool IsSoftwarePcmConfigurationValid(const PcmParameters& pcm_config);
+bool IsOffloadCodecConfigurationValid(const SessionType& session_type,
+                                      const CodecConfiguration& codec_config);
+
+}  // namespace audio
+}  // namespace bluetooth
+}  // namespace android
diff --git a/bluetooth/audio/2.0/vts/OWNERS b/bluetooth/audio/2.0/vts/OWNERS
new file mode 100644
index 0000000..b6c0813
--- /dev/null
+++ b/bluetooth/audio/2.0/vts/OWNERS
@@ -0,0 +1,3 @@
+include platform/system/bt:/OWNERS
+
+cheneyni@google.com
diff --git a/bluetooth/audio/2.0/vts/functional/Android.bp b/bluetooth/audio/2.0/vts/functional/Android.bp
new file mode 100644
index 0000000..b672fe4
--- /dev/null
+++ b/bluetooth/audio/2.0/vts/functional/Android.bp
@@ -0,0 +1,12 @@
+cc_test {
+    name: "VtsHalBluetoothAudioV2_0TargetTest",
+    defaults: ["VtsHalTargetTestDefaults"],
+    srcs: ["VtsHalBluetoothAudioV2_0TargetTest.cpp"],
+    static_libs: [
+        "android.hardware.audio.common@5.0",
+        "android.hardware.bluetooth.audio@2.0",
+    ],
+    shared_libs: [
+        "libfmq",
+    ],
+}
diff --git a/bluetooth/audio/2.0/vts/functional/VtsHalBluetoothAudioV2_0TargetTest.cpp b/bluetooth/audio/2.0/vts/functional/VtsHalBluetoothAudioV2_0TargetTest.cpp
new file mode 100644
index 0000000..9572d3f
--- /dev/null
+++ b/bluetooth/audio/2.0/vts/functional/VtsHalBluetoothAudioV2_0TargetTest.cpp
@@ -0,0 +1,915 @@
+/*
+ * 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 "bluetooth_audio_hidl_hal_test"
+
+#include <android-base/logging.h>
+#include <android/hardware/bluetooth/audio/2.0/IBluetoothAudioPort.h>
+#include <android/hardware/bluetooth/audio/2.0/IBluetoothAudioProvider.h>
+#include <android/hardware/bluetooth/audio/2.0/IBluetoothAudioProvidersFactory.h>
+#include <fmq/MessageQueue.h>
+#include <hidl/MQDescriptor.h>
+#include <utils/Log.h>
+
+#include <VtsHalHidlTargetCallbackBase.h>
+#include <VtsHalHidlTargetTestBase.h>
+#include <VtsHalHidlTargetTestEnvBase.h>
+
+using ::android::sp;
+using ::android::hardware::hidl_vec;
+using ::android::hardware::kSynchronizedReadWrite;
+using ::android::hardware::MessageQueue;
+using ::android::hardware::Return;
+using ::android::hardware::Void;
+using ::android::hardware::audio::common::V5_0::SourceMetadata;
+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::AudioCapabilities;
+using ::android::hardware::bluetooth::audio::V2_0::AudioConfiguration;
+using ::android::hardware::bluetooth::audio::V2_0::BitsPerSample;
+using ::android::hardware::bluetooth::audio::V2_0::ChannelMode;
+using ::android::hardware::bluetooth::audio::V2_0::CodecCapabilities;
+using ::android::hardware::bluetooth::audio::V2_0::CodecConfiguration;
+using ::android::hardware::bluetooth::audio::V2_0::CodecType;
+using ::android::hardware::bluetooth::audio::V2_0::IBluetoothAudioPort;
+using ::android::hardware::bluetooth::audio::V2_0::IBluetoothAudioProvider;
+using ::android::hardware::bluetooth::audio::V2_0::
+    IBluetoothAudioProvidersFactory;
+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::PcmParameters;
+using ::android::hardware::bluetooth::audio::V2_0::SampleRate;
+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_0::SessionType;
+
+using DataMQ = MessageQueue<uint8_t, kSynchronizedReadWrite>;
+using BluetoothAudioStatus =
+    ::android::hardware::bluetooth::audio::V2_0::Status;
+using CodecSpecificConfig = ::android::hardware::bluetooth::audio::V2_0::
+    CodecConfiguration::CodecSpecific;
+
+namespace {
+constexpr SampleRate a2dp_sample_rates[5] = {
+    SampleRate::RATE_UNKNOWN, SampleRate::RATE_44100, SampleRate::RATE_48000,
+    SampleRate::RATE_88200, SampleRate::RATE_96000};
+constexpr BitsPerSample a2dp_bits_per_samples[4] = {
+    BitsPerSample::BITS_UNKNOWN, BitsPerSample::BITS_16, BitsPerSample::BITS_24,
+    BitsPerSample::BITS_32};
+constexpr ChannelMode a2dp_channel_modes[3] = {
+    ChannelMode::UNKNOWN, ChannelMode::MONO, ChannelMode::STEREO};
+constexpr CodecType a2dp_codec_types[6] = {CodecType::UNKNOWN, CodecType::SBC,
+                                           CodecType::AAC,     CodecType::APTX,
+                                           CodecType::APTX_HD, CodecType::LDAC};
+
+template <typename T>
+std::vector<T> ExtractValuesFromBitmask(T bitmasks, uint32_t bitfield,
+                                        bool supported) {
+  std::vector<T> retval;
+  if (!supported) {
+    retval.push_back(static_cast<T>(bitfield));
+  }
+  uint32_t test_bit = 0x00000001;
+  while (test_bit <= static_cast<uint32_t>(bitmasks) && test_bit <= bitfield) {
+    if ((bitfield & test_bit)) {
+      if ((!(bitmasks & test_bit) && !supported) ||
+          ((bitmasks & test_bit) && supported)) {
+        retval.push_back(static_cast<T>(test_bit));
+      }
+    }
+    if (test_bit == 0x80000000) {
+      break;
+    }
+    test_bit <<= 1;
+  }
+  return retval;
+}
+}  // namespace
+
+// Test environment for Bluetooth Audio HAL.
+class BluetoothAudioHidlEnvironment
+    : public ::testing::VtsHalHidlTargetTestEnvBase {
+ public:
+  // get the test environment singleton
+  static BluetoothAudioHidlEnvironment* Instance() {
+    static BluetoothAudioHidlEnvironment* instance =
+        new BluetoothAudioHidlEnvironment;
+    return instance;
+  }
+
+  virtual void registerTestServices() override {
+    registerTestService<IBluetoothAudioProvidersFactory>();
+  }
+
+ private:
+  BluetoothAudioHidlEnvironment() {}
+};
+
+// The base test class for Bluetooth Audio HAL.
+class BluetoothAudioProvidersFactoryHidlTest
+    : public ::testing::VtsHalHidlTargetTestBase {
+ public:
+  virtual void SetUp() override {
+    providers_factory_ = ::testing::VtsHalHidlTargetTestBase::getService<
+        IBluetoothAudioProvidersFactory>(
+        BluetoothAudioHidlEnvironment::Instance()
+            ->getServiceName<IBluetoothAudioProvidersFactory>());
+    ASSERT_NE(providers_factory_, nullptr);
+  }
+
+  virtual void TearDown() override { providers_factory_ = nullptr; }
+
+  // A simple test implementation of IBluetoothAudioPort.
+  class BluetoothAudioPort : public ::testing::VtsHalHidlTargetCallbackBase<
+                                 BluetoothAudioProvidersFactoryHidlTest>,
+                             public IBluetoothAudioPort {
+    BluetoothAudioProvidersFactoryHidlTest& parent_;
+
+   public:
+    BluetoothAudioPort(BluetoothAudioProvidersFactoryHidlTest& parent)
+        : parent_(parent) {}
+    virtual ~BluetoothAudioPort() = default;
+
+    Return<void> startStream() override {
+      parent_.audio_provider_->streamStarted(BluetoothAudioStatus::SUCCESS);
+      return Void();
+    }
+
+    Return<void> suspendStream() override {
+      parent_.audio_provider_->streamSuspended(BluetoothAudioStatus::SUCCESS);
+      return Void();
+    }
+
+    Return<void> stopStream() override { return Void(); }
+
+    Return<void> getPresentationPosition(getPresentationPosition_cb _hidl_cb) {
+      _hidl_cb(BluetoothAudioStatus::SUCCESS, 0, 0, {.tvSec = 0, .tvNSec = 0});
+      return Void();
+    }
+
+    Return<void> updateMetadata(const SourceMetadata& sourceMetadata __unused) {
+      return Void();
+    }
+  };
+
+  void GetProviderCapabilitiesHelper(const SessionType& session_type) {
+    temp_provider_capabilities_.clear();
+    auto hidl_cb = [& temp_capabilities = this->temp_provider_capabilities_](
+                       const hidl_vec<AudioCapabilities>& audioCapabilities) {
+      for (auto audioCapability : audioCapabilities)
+        temp_capabilities.push_back(audioCapability);
+    };
+    auto hidl_retval =
+        providers_factory_->getProviderCapabilities(session_type, hidl_cb);
+    // HIDL calls should not be failed and callback has to be executed
+    ASSERT_TRUE(hidl_retval.isOk());
+    if (session_type == SessionType::UNKNOWN) {
+      ASSERT_TRUE(temp_provider_capabilities_.empty());
+    } else if (session_type != SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH) {
+      // All software paths are mandatory and must have exact 1 "PcmParameters"
+      ASSERT_EQ(temp_provider_capabilities_.size(), 1);
+      ASSERT_EQ(temp_provider_capabilities_[0].getDiscriminator(),
+                AudioCapabilities::hidl_discriminator::pcmCapabilities);
+    } else {
+      uint32_t codec_type_bitmask = 0x00000000;
+      // empty capability means offload is unsupported
+      for (auto audio_capability : temp_provider_capabilities_) {
+        ASSERT_EQ(audio_capability.getDiscriminator(),
+                  AudioCapabilities::hidl_discriminator::codecCapabilities);
+        const CodecCapabilities& codec_capabilities =
+            audio_capability.codecCapabilities();
+        // Every codec can present once at most
+        ASSERT_EQ(codec_type_bitmask &
+                      static_cast<uint32_t>(codec_capabilities.codecType),
+                  0);
+        switch (codec_capabilities.codecType) {
+          case CodecType::SBC:
+            ASSERT_EQ(codec_capabilities.capabilities.getDiscriminator(),
+                      CodecCapabilities::Capabilities::hidl_discriminator::
+                          sbcCapabilities);
+            break;
+          case CodecType::AAC:
+            ASSERT_EQ(codec_capabilities.capabilities.getDiscriminator(),
+                      CodecCapabilities::Capabilities::hidl_discriminator::
+                          aacCapabilities);
+            break;
+          case CodecType::APTX:
+            FALLTHROUGH_INTENDED;
+          case CodecType::APTX_HD:
+            ASSERT_EQ(codec_capabilities.capabilities.getDiscriminator(),
+                      CodecCapabilities::Capabilities::hidl_discriminator::
+                          aptxCapabilities);
+            break;
+          case CodecType::LDAC:
+            ASSERT_EQ(codec_capabilities.capabilities.getDiscriminator(),
+                      CodecCapabilities::Capabilities::hidl_discriminator::
+                          ldacCapabilities);
+            break;
+          case CodecType::UNKNOWN:
+            break;
+        }
+        codec_type_bitmask |= codec_capabilities.codecType;
+      }
+    }
+  }
+
+  // This helps to open the specified provider and check the openProvider()
+  // has corruct return values. BUT, to keep it simple, it does not consider
+  // the capability, and please do so at the SetUp of each session's test.
+  void OpenProviderHelper(const SessionType& session_type) {
+    BluetoothAudioStatus cb_status;
+    auto hidl_cb = [&cb_status, &local_provider = this->audio_provider_](
+                       BluetoothAudioStatus status,
+                       const sp<IBluetoothAudioProvider>& provider) {
+      cb_status = status;
+      local_provider = provider;
+    };
+    auto hidl_retval = providers_factory_->openProvider(session_type, hidl_cb);
+    // HIDL calls should not be failed and callback has to be executed
+    ASSERT_TRUE(hidl_retval.isOk());
+    if (cb_status == BluetoothAudioStatus::SUCCESS) {
+      ASSERT_NE(session_type, SessionType::UNKNOWN);
+      ASSERT_NE(audio_provider_, nullptr);
+      audio_port_ = new BluetoothAudioPort(*this);
+    } else {
+      // A2DP_HARDWARE_OFFLOAD_DATAPATH is optional
+      ASSERT_TRUE(session_type == SessionType::UNKNOWN ||
+                  session_type == SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH);
+      ASSERT_EQ(cb_status, BluetoothAudioStatus::FAILURE);
+      ASSERT_EQ(audio_provider_, nullptr);
+    }
+  }
+
+  bool IsPcmParametersSupported(const PcmParameters& pcm_parameters) {
+    if (temp_provider_capabilities_.size() != 1 ||
+        temp_provider_capabilities_[0].getDiscriminator() !=
+            AudioCapabilities::hidl_discriminator::pcmCapabilities) {
+      return false;
+    }
+    auto pcm_capability = temp_provider_capabilities_[0].pcmCapabilities();
+    bool is_parameter_valid =
+        (pcm_parameters.sampleRate != SampleRate::RATE_UNKNOWN &&
+         pcm_parameters.channelMode != ChannelMode::UNKNOWN &&
+         pcm_parameters.bitsPerSample != BitsPerSample::BITS_UNKNOWN);
+    bool is_parameter_in_capability =
+        (pcm_capability.sampleRate & pcm_parameters.sampleRate &&
+         pcm_capability.channelMode & pcm_parameters.channelMode &&
+         pcm_capability.bitsPerSample & pcm_parameters.bitsPerSample);
+    return is_parameter_valid && is_parameter_in_capability;
+  }
+
+  sp<IBluetoothAudioProvidersFactory> providers_factory_;
+
+  // temp storage saves the specified provider capability by
+  // GetProviderCapabilitiesHelper()
+  std::vector<AudioCapabilities> temp_provider_capabilities_;
+
+  // audio_provider_ is for the Bluetooth stack to report session started/ended
+  // and handled audio stream started / suspended
+  sp<IBluetoothAudioProvider> audio_provider_;
+
+  // audio_port_ is for the Audio HAL to send stream start/suspend/stop commands
+  // to Bluetooth stack
+  sp<IBluetoothAudioPort> audio_port_;
+
+  static constexpr SessionType session_types_[4] = {
+      SessionType::UNKNOWN, SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH,
+      SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH,
+      SessionType::HEARING_AID_SOFTWARE_ENCODING_DATAPATH};
+};
+
+/**
+ * Test whether we can get the FactoryService from HIDL
+ */
+TEST_F(BluetoothAudioProvidersFactoryHidlTest, GetProvidersFactoryService) {}
+
+/**
+ * Test whether we can open a provider for each provider returned by
+ * getProviderCapabilities() with non-empty capabalities
+ */
+TEST_F(BluetoothAudioProvidersFactoryHidlTest,
+       OpenProviderAndCheckCapabilitiesBySession) {
+  for (auto session_type : session_types_) {
+    GetProviderCapabilitiesHelper(session_type);
+    OpenProviderHelper(session_type);
+    // We must be able to open a provider if its getProviderCapabilities()
+    // returns non-empty list.
+    EXPECT_TRUE(temp_provider_capabilities_.empty() ||
+                audio_provider_ != nullptr);
+  }
+}
+
+/**
+ * openProvider A2DP_SOFTWARE_ENCODING_DATAPATH
+ */
+class BluetoothAudioProviderA2dpSoftwareHidlTest
+    : public BluetoothAudioProvidersFactoryHidlTest {
+ public:
+  virtual void SetUp() override {
+    BluetoothAudioProvidersFactoryHidlTest::SetUp();
+    GetProviderCapabilitiesHelper(SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH);
+    OpenProviderHelper(SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH);
+    ASSERT_NE(audio_provider_, nullptr);
+  }
+
+  virtual void TearDown() override {
+    audio_port_ = nullptr;
+    audio_provider_ = nullptr;
+    BluetoothAudioProvidersFactoryHidlTest::TearDown();
+  }
+};
+
+/**
+ * Test whether we can open a provider of type
+ */
+TEST_F(BluetoothAudioProviderA2dpSoftwareHidlTest, OpenA2dpSoftwareProvider) {}
+
+/**
+ * Test whether each provider of type
+ * SessionType::A2DP_SOFTWARE_ENCODING_DATAPATH can be started and stopped with
+ * different PCM config
+ */
+TEST_F(BluetoothAudioProviderA2dpSoftwareHidlTest,
+       StartAndEndA2dpSoftwareSessionWithPossiblePcmConfig) {
+  bool is_codec_config_valid;
+  std::unique_ptr<DataMQ> tempDataMQ;
+  auto hidl_cb = [&is_codec_config_valid, &tempDataMQ](
+                     BluetoothAudioStatus status,
+                     const DataMQ::Descriptor& dataMQ) {
+    if (is_codec_config_valid) {
+      ASSERT_EQ(status, BluetoothAudioStatus::SUCCESS);
+      ASSERT_TRUE(dataMQ.isHandleValid());
+      tempDataMQ.reset(new DataMQ(dataMQ));
+    } else {
+      EXPECT_EQ(status, BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION);
+      EXPECT_FALSE(dataMQ.isHandleValid());
+    }
+  };
+  AudioConfiguration audio_config = {};
+  PcmParameters pcm_parameters = {};
+  for (auto sample_rate : a2dp_sample_rates) {
+    pcm_parameters.sampleRate = sample_rate;
+    for (auto bits_per_sample : a2dp_bits_per_samples) {
+      pcm_parameters.bitsPerSample = bits_per_sample;
+      for (auto channel_mode : a2dp_channel_modes) {
+        pcm_parameters.channelMode = channel_mode;
+        is_codec_config_valid = IsPcmParametersSupported(pcm_parameters);
+        audio_config.pcmConfig(pcm_parameters);
+        auto hidl_retval =
+            audio_provider_->startSession(audio_port_, audio_config, hidl_cb);
+        // HIDL calls should not be failed and callback has to be executed
+        ASSERT_TRUE(hidl_retval.isOk());
+        if (is_codec_config_valid) {
+          EXPECT_TRUE(tempDataMQ != nullptr && tempDataMQ->isValid());
+        }
+        EXPECT_TRUE(audio_provider_->endSession().isOk());
+      }  // ChannelMode
+    }    // BitsPerSampple
+  }      // SampleRate
+}
+
+/**
+ * openProvider A2DP_HARDWARE_OFFLOAD_DATAPATH
+ */
+class BluetoothAudioProviderA2dpHardwareHidlTest
+    : public BluetoothAudioProvidersFactoryHidlTest {
+ public:
+  virtual void SetUp() override {
+    BluetoothAudioProvidersFactoryHidlTest::SetUp();
+    GetProviderCapabilitiesHelper(SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH);
+    OpenProviderHelper(SessionType::A2DP_HARDWARE_OFFLOAD_DATAPATH);
+    ASSERT_TRUE(temp_provider_capabilities_.empty() ||
+                audio_provider_ != nullptr);
+  }
+
+  virtual void TearDown() override {
+    audio_port_ = nullptr;
+    audio_provider_ = nullptr;
+    BluetoothAudioProvidersFactoryHidlTest::TearDown();
+  }
+
+  bool IsOffloadSupported() { return (temp_provider_capabilities_.size() > 0); }
+
+  void GetOffloadCodecCapabilityHelper(const CodecType& codec_type) {
+    temp_codec_capabilities_ = {};
+    for (auto codec_capability : temp_provider_capabilities_) {
+      if (codec_capability.codecCapabilities().codecType != codec_type) {
+        continue;
+      }
+      temp_codec_capabilities_ = codec_capability.codecCapabilities();
+    }
+  }
+
+  std::vector<CodecSpecificConfig> GetSbcCodecSpecificSupportedList(
+      bool supported) {
+    std::vector<CodecSpecificConfig> sbc_codec_specifics;
+    GetOffloadCodecCapabilityHelper(CodecType::SBC);
+    if (temp_codec_capabilities_.codecType != CodecType::SBC) {
+      return sbc_codec_specifics;
+    }
+    // parse the capability
+    SbcParameters sbc_capability =
+        temp_codec_capabilities_.capabilities.sbcCapabilities();
+    if (sbc_capability.minBitpool > sbc_capability.maxBitpool) {
+      return sbc_codec_specifics;
+    }
+    std::vector<SampleRate> sample_rates = ExtractValuesFromBitmask<SampleRate>(
+        sbc_capability.sampleRate, 0xff, supported);
+    std::vector<SbcChannelMode> channel_modes =
+        ExtractValuesFromBitmask<SbcChannelMode>(sbc_capability.channelMode,
+                                                 0x0f, supported);
+    std::vector<SbcBlockLength> block_lengths =
+        ExtractValuesFromBitmask<SbcBlockLength>(sbc_capability.blockLength,
+                                                 0xf0, supported);
+    std::vector<SbcNumSubbands> num_subbandss =
+        ExtractValuesFromBitmask<SbcNumSubbands>(sbc_capability.numSubbands,
+                                                 0x0c, supported);
+    std::vector<SbcAllocMethod> alloc_methods =
+        ExtractValuesFromBitmask<SbcAllocMethod>(sbc_capability.allocMethod,
+                                                 0x03, supported);
+    std::vector<BitsPerSample> bits_per_samples =
+        ExtractValuesFromBitmask<BitsPerSample>(sbc_capability.bitsPerSample,
+                                                0x07, supported);
+    // combine those parameters into one list of
+    // CodecConfiguration::CodecSpecific
+    CodecSpecificConfig codec_specific = {};
+    SbcParameters sbc_data;
+    for (auto sample_rate : sample_rates) {
+      for (auto channel_mode : channel_modes) {
+        for (auto block_length : block_lengths) {
+          for (auto num_subbands : num_subbandss) {
+            for (auto alloc_method : alloc_methods) {
+              for (auto bits_per_sample : bits_per_samples) {
+                sbc_data = {.sampleRate = sample_rate,
+                            .channelMode = channel_mode,
+                            .blockLength = block_length,
+                            .numSubbands = num_subbands,
+                            .allocMethod = alloc_method,
+                            .bitsPerSample = bits_per_sample,
+                            .minBitpool = sbc_capability.minBitpool,
+                            .maxBitpool = sbc_capability.maxBitpool};
+                codec_specific.sbcConfig(sbc_data);
+                sbc_codec_specifics.push_back(codec_specific);
+              }
+            }
+          }
+        }
+      }
+    }
+    return sbc_codec_specifics;
+  }
+
+  std::vector<CodecSpecificConfig> GetAacCodecSpecificSupportedList(
+      bool supported) {
+    std::vector<CodecSpecificConfig> aac_codec_specifics;
+    GetOffloadCodecCapabilityHelper(CodecType::AAC);
+    if (temp_codec_capabilities_.codecType != CodecType::AAC) {
+      return aac_codec_specifics;
+    }
+    // parse the capability
+    AacParameters aac_capability =
+        temp_codec_capabilities_.capabilities.aacCapabilities();
+    std::vector<AacObjectType> object_types =
+        ExtractValuesFromBitmask<AacObjectType>(aac_capability.objectType, 0xf0,
+                                                supported);
+    std::vector<SampleRate> sample_rates = ExtractValuesFromBitmask<SampleRate>(
+        aac_capability.sampleRate, 0xff, supported);
+    std::vector<ChannelMode> channel_modes =
+        ExtractValuesFromBitmask<ChannelMode>(aac_capability.channelMode, 0x03,
+                                              supported);
+    std::vector<AacVariableBitRate> variable_bit_rate_enableds = {
+        AacVariableBitRate::DISABLED};
+    if (aac_capability.variableBitRateEnabled == AacVariableBitRate::ENABLED) {
+      variable_bit_rate_enableds.push_back(AacVariableBitRate::ENABLED);
+    }
+    std::vector<BitsPerSample> bits_per_samples =
+        ExtractValuesFromBitmask<BitsPerSample>(aac_capability.bitsPerSample,
+                                                0x07, supported);
+    // combine those parameters into one list of
+    // CodecConfiguration::CodecSpecific
+    CodecSpecificConfig codec_specific = {};
+    AacParameters aac_data;
+    for (auto object_type : object_types) {
+      for (auto sample_rate : sample_rates) {
+        for (auto channel_mode : channel_modes) {
+          for (auto variable_bit_rate_enabled : variable_bit_rate_enableds) {
+            for (auto bits_per_sample : bits_per_samples) {
+              aac_data = {.objectType = object_type,
+                          .sampleRate = sample_rate,
+                          .channelMode = channel_mode,
+                          .variableBitRateEnabled = variable_bit_rate_enabled,
+                          .bitsPerSample = bits_per_sample};
+              codec_specific.aacConfig(aac_data);
+              aac_codec_specifics.push_back(codec_specific);
+            }
+          }
+        }
+      }
+    }
+    return aac_codec_specifics;
+  }
+
+  std::vector<CodecSpecificConfig> GetLdacCodecSpecificSupportedList(
+      bool supported) {
+    std::vector<CodecSpecificConfig> ldac_codec_specifics;
+    GetOffloadCodecCapabilityHelper(CodecType::LDAC);
+    if (temp_codec_capabilities_.codecType != CodecType::LDAC) {
+      return ldac_codec_specifics;
+    }
+    // parse the capability
+    LdacParameters ldac_capability =
+        temp_codec_capabilities_.capabilities.ldacCapabilities();
+    std::vector<SampleRate> sample_rates = ExtractValuesFromBitmask<SampleRate>(
+        ldac_capability.sampleRate, 0xff, supported);
+    std::vector<LdacChannelMode> channel_modes =
+        ExtractValuesFromBitmask<LdacChannelMode>(ldac_capability.channelMode,
+                                                  0x07, supported);
+    std::vector<LdacQualityIndex> quality_indexes = {
+        LdacQualityIndex::QUALITY_HIGH, LdacQualityIndex::QUALITY_MID,
+        LdacQualityIndex::QUALITY_LOW, LdacQualityIndex::QUALITY_ABR};
+    std::vector<BitsPerSample> bits_per_samples =
+        ExtractValuesFromBitmask<BitsPerSample>(ldac_capability.bitsPerSample,
+                                                0x07, supported);
+    // combine those parameters into one list of
+    // CodecConfiguration::CodecSpecific
+    CodecSpecificConfig codec_specific = {};
+    LdacParameters ldac_data;
+    for (auto sample_rate : sample_rates) {
+      for (auto channel_mode : channel_modes) {
+        for (auto quality_index : quality_indexes) {
+          for (auto bits_per_sample : bits_per_samples) {
+            ldac_data = {.sampleRate = sample_rate,
+                         .channelMode = channel_mode,
+                         .qualityIndex = quality_index,
+                         .bitsPerSample = bits_per_sample};
+            codec_specific.ldacConfig(ldac_data);
+            ldac_codec_specifics.push_back(codec_specific);
+          }
+        }
+      }
+    }
+    return ldac_codec_specifics;
+  }
+
+  std::vector<CodecSpecificConfig> GetAptxCodecSpecificSupportedList(
+      bool is_hd, bool supported) {
+    std::vector<CodecSpecificConfig> aptx_codec_specifics;
+    GetOffloadCodecCapabilityHelper(
+        (is_hd ? CodecType::APTX_HD : CodecType::APTX));
+    if ((is_hd && temp_codec_capabilities_.codecType != CodecType::APTX_HD) ||
+        (!is_hd && temp_codec_capabilities_.codecType != CodecType::APTX)) {
+      return aptx_codec_specifics;
+    }
+    // parse the capability
+    AptxParameters aptx_capability =
+        temp_codec_capabilities_.capabilities.aptxCapabilities();
+    std::vector<SampleRate> sample_rates = ExtractValuesFromBitmask<SampleRate>(
+        aptx_capability.sampleRate, 0xff, supported);
+    std::vector<ChannelMode> channel_modes =
+        ExtractValuesFromBitmask<ChannelMode>(aptx_capability.channelMode, 0x03,
+                                              supported);
+    std::vector<BitsPerSample> bits_per_samples =
+        ExtractValuesFromBitmask<BitsPerSample>(aptx_capability.bitsPerSample,
+                                                0x07, supported);
+    // combine those parameters into one list of
+    // CodecConfiguration::CodecSpecific
+    CodecSpecificConfig codec_specific = {};
+    AptxParameters aptx_data;
+    for (auto sample_rate : sample_rates) {
+      for (auto channel_mode : channel_modes) {
+        for (auto bits_per_sample : bits_per_samples) {
+          aptx_data = {.sampleRate = sample_rate,
+                       .channelMode = channel_mode,
+                       .bitsPerSample = bits_per_sample};
+          codec_specific.aptxConfig(aptx_data);
+          aptx_codec_specifics.push_back(codec_specific);
+        }
+      }
+    }
+    return aptx_codec_specifics;
+  }
+
+  // temp storage saves the specified codec capability by
+  // GetOffloadCodecCapabilityHelper()
+  CodecCapabilities temp_codec_capabilities_;
+};
+
+/**
+ * Test whether we can open a provider of type
+ */
+TEST_F(BluetoothAudioProviderA2dpHardwareHidlTest, OpenA2dpHardwareProvider) {}
+
+/**
+ * Test whether each provider of type
+ * SessionType::A2DP_HARDWARE_ENCODING_DATAPATH can be started and stopped with
+ * SBC hardware encoding config
+ */
+TEST_F(BluetoothAudioProviderA2dpHardwareHidlTest,
+       StartAndEndA2dpSbcHardwareSession) {
+  if (!IsOffloadSupported()) {
+    return;
+  }
+
+  CodecConfiguration codec_config = {};
+  codec_config.codecType = CodecType::SBC;
+  codec_config.encodedAudioBitrate = 328000;
+  codec_config.peerMtu = 1005;
+  codec_config.isScmstEnabled = false;
+  AudioConfiguration audio_config = {};
+  std::vector<CodecSpecificConfig> sbc_codec_specifics =
+      GetSbcCodecSpecificSupportedList(true);
+  auto hidl_cb = [](BluetoothAudioStatus status,
+                    const DataMQ::Descriptor& dataMQ) {
+    EXPECT_EQ(status, BluetoothAudioStatus::SUCCESS);
+    EXPECT_FALSE(dataMQ.isHandleValid());
+  };
+  for (auto codec_specific : sbc_codec_specifics) {
+    codec_config.config = codec_specific;
+    audio_config.codecConfig(codec_config);
+    auto hidl_retval =
+        audio_provider_->startSession(audio_port_, audio_config, hidl_cb);
+    // HIDL calls should not be failed and callback has to be executed
+    ASSERT_TRUE(hidl_retval.isOk());
+    EXPECT_TRUE(audio_provider_->endSession().isOk());
+  }
+}
+
+/**
+ * Test whether each provider of type
+ * SessionType::A2DP_HARDWARE_ENCODING_DATAPATH can be started and stopped with
+ * AAC hardware encoding config
+ */
+TEST_F(BluetoothAudioProviderA2dpHardwareHidlTest,
+       StartAndEndA2dpAacHardwareSession) {
+  if (!IsOffloadSupported()) {
+    return;
+  }
+
+  CodecConfiguration codec_config = {};
+  codec_config.codecType = CodecType::AAC;
+  codec_config.encodedAudioBitrate = 320000;
+  codec_config.peerMtu = 1005;
+  codec_config.isScmstEnabled = false;
+  AudioConfiguration audio_config = {};
+  std::vector<CodecSpecificConfig> aac_codec_specifics =
+      GetAacCodecSpecificSupportedList(true);
+  auto hidl_cb = [](BluetoothAudioStatus status,
+                    const DataMQ::Descriptor& dataMQ) {
+    EXPECT_EQ(status, BluetoothAudioStatus::SUCCESS);
+    EXPECT_FALSE(dataMQ.isHandleValid());
+  };
+  for (auto codec_specific : aac_codec_specifics) {
+    codec_config.config = codec_specific;
+    audio_config.codecConfig(codec_config);
+    auto hidl_retval =
+        audio_provider_->startSession(audio_port_, audio_config, hidl_cb);
+    // HIDL calls should not be failed and callback has to be executed
+    ASSERT_TRUE(hidl_retval.isOk());
+    EXPECT_TRUE(audio_provider_->endSession().isOk());
+  }
+}
+
+/**
+ * Test whether each provider of type
+ * SessionType::A2DP_HARDWARE_ENCODING_DATAPATH can be started and stopped with
+ * LDAC hardware encoding config
+ */
+TEST_F(BluetoothAudioProviderA2dpHardwareHidlTest,
+       StartAndEndA2dpLdacHardwareSession) {
+  if (!IsOffloadSupported()) {
+    return;
+  }
+
+  CodecConfiguration codec_config = {};
+  codec_config.codecType = CodecType::LDAC;
+  codec_config.encodedAudioBitrate = 990000;
+  codec_config.peerMtu = 1005;
+  codec_config.isScmstEnabled = false;
+  AudioConfiguration audio_config = {};
+  std::vector<CodecSpecificConfig> ldac_codec_specifics =
+      GetLdacCodecSpecificSupportedList(true);
+  auto hidl_cb = [](BluetoothAudioStatus status,
+                    const DataMQ::Descriptor& dataMQ) {
+    EXPECT_EQ(status, BluetoothAudioStatus::SUCCESS);
+    EXPECT_FALSE(dataMQ.isHandleValid());
+  };
+  for (auto codec_specific : ldac_codec_specifics) {
+    codec_config.config = codec_specific;
+    audio_config.codecConfig(codec_config);
+    auto hidl_retval =
+        audio_provider_->startSession(audio_port_, audio_config, hidl_cb);
+    // HIDL calls should not be failed and callback has to be executed
+    ASSERT_TRUE(hidl_retval.isOk());
+    EXPECT_TRUE(audio_provider_->endSession().isOk());
+  }
+}
+
+/**
+ * Test whether each provider of type
+ * SessionType::A2DP_HARDWARE_ENCODING_DATAPATH can be started and stopped with
+ * AptX hardware encoding config
+ */
+TEST_F(BluetoothAudioProviderA2dpHardwareHidlTest,
+       StartAndEndA2dpAptxHardwareSession) {
+  if (!IsOffloadSupported()) {
+    return;
+  }
+
+  for (auto codec_type : {CodecType::APTX, CodecType::APTX_HD}) {
+    CodecConfiguration codec_config = {};
+    codec_config.codecType = codec_type;
+    codec_config.encodedAudioBitrate =
+        (codec_type == CodecType::APTX ? 352000 : 576000);
+    codec_config.peerMtu = 1005;
+    codec_config.isScmstEnabled = false;
+    AudioConfiguration audio_config = {};
+    std::vector<CodecSpecificConfig> aptx_codec_specifics =
+        GetAptxCodecSpecificSupportedList(
+            (codec_type == CodecType::APTX_HD ? true : false), true);
+    auto hidl_cb = [](BluetoothAudioStatus status,
+                      const DataMQ::Descriptor& dataMQ) {
+      EXPECT_EQ(status, BluetoothAudioStatus::SUCCESS);
+      EXPECT_FALSE(dataMQ.isHandleValid());
+    };
+    for (auto codec_specific : aptx_codec_specifics) {
+      codec_config.config = codec_specific;
+      audio_config.codecConfig(codec_config);
+      auto hidl_retval =
+          audio_provider_->startSession(audio_port_, audio_config, hidl_cb);
+      // HIDL calls should not be failed and callback has to be executed
+      ASSERT_TRUE(hidl_retval.isOk());
+      EXPECT_TRUE(audio_provider_->endSession().isOk());
+    }
+  }
+}
+
+/**
+ * Test whether each provider of type
+ * SessionType::A2DP_HARDWARE_ENCODING_DATAPATH can be started and stopped with
+ * an invalid codec config
+ */
+TEST_F(BluetoothAudioProviderA2dpHardwareHidlTest,
+       StartAndEndA2dpHardwareSessionInvalidCodecConfig) {
+  if (!IsOffloadSupported()) {
+    return;
+  }
+  ASSERT_NE(audio_provider_, nullptr);
+
+  std::vector<CodecSpecificConfig> codec_specifics;
+  for (auto codec_type : a2dp_codec_types) {
+    switch (codec_type) {
+      case CodecType::SBC:
+        codec_specifics = GetSbcCodecSpecificSupportedList(false);
+        break;
+      case CodecType::AAC:
+        codec_specifics = GetAacCodecSpecificSupportedList(false);
+        break;
+      case CodecType::LDAC:
+        codec_specifics = GetLdacCodecSpecificSupportedList(false);
+        break;
+      case CodecType::APTX:
+        codec_specifics = GetAptxCodecSpecificSupportedList(false, false);
+        break;
+      case CodecType::APTX_HD:
+        codec_specifics = GetAptxCodecSpecificSupportedList(true, false);
+        break;
+      case CodecType::UNKNOWN:
+        codec_specifics.clear();
+        break;
+    }
+    if (codec_specifics.empty()) {
+      continue;
+    }
+
+    CodecConfiguration codec_config = {};
+    codec_config.codecType = codec_type;
+    codec_config.encodedAudioBitrate = 328000;
+    codec_config.peerMtu = 1005;
+    codec_config.isScmstEnabled = false;
+    AudioConfiguration audio_config = {};
+    auto hidl_cb = [](BluetoothAudioStatus status,
+                      const DataMQ::Descriptor& dataMQ) {
+      EXPECT_EQ(status, BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION);
+      EXPECT_FALSE(dataMQ.isHandleValid());
+    };
+    for (auto codec_specific : codec_specifics) {
+      codec_config.config = codec_specific;
+      audio_config.codecConfig(codec_config);
+      auto hidl_retval =
+          audio_provider_->startSession(audio_port_, audio_config, hidl_cb);
+      // HIDL calls should not be failed and callback has to be executed
+      ASSERT_TRUE(hidl_retval.isOk());
+      EXPECT_TRUE(audio_provider_->endSession().isOk());
+    }
+  }
+}
+
+/**
+ * openProvider HEARING_AID_SOFTWARE_ENCODING_DATAPATH
+ */
+class BluetoothAudioProviderHearingAidSoftwareHidlTest
+    : public BluetoothAudioProvidersFactoryHidlTest {
+ public:
+  virtual void SetUp() override {
+    BluetoothAudioProvidersFactoryHidlTest::SetUp();
+    GetProviderCapabilitiesHelper(
+        SessionType::HEARING_AID_SOFTWARE_ENCODING_DATAPATH);
+    OpenProviderHelper(SessionType::HEARING_AID_SOFTWARE_ENCODING_DATAPATH);
+    ASSERT_NE(audio_provider_, nullptr);
+  }
+
+  virtual void TearDown() override {
+    audio_port_ = nullptr;
+    audio_provider_ = nullptr;
+    BluetoothAudioProvidersFactoryHidlTest::TearDown();
+  }
+
+  static constexpr SampleRate hearing_aid_sample_rates_[3] = {
+      SampleRate::RATE_UNKNOWN, SampleRate::RATE_16000, SampleRate::RATE_24000};
+  static constexpr BitsPerSample hearing_aid_bits_per_samples_[3] = {
+      BitsPerSample::BITS_UNKNOWN, BitsPerSample::BITS_16,
+      BitsPerSample::BITS_24};
+  static constexpr ChannelMode hearing_aid_channel_modes_[3] = {
+      ChannelMode::UNKNOWN, ChannelMode::MONO, ChannelMode::STEREO};
+};
+
+/**
+ * Test whether each provider of type
+ * SessionType::HEARING_AID_HARDWARE_ENCODING_DATAPATH can be started and
+ * stopped with SBC hardware encoding config
+ */
+TEST_F(BluetoothAudioProviderHearingAidSoftwareHidlTest,
+       OpenHearingAidSoftwareProvider) {}
+
+/**
+ * Test whether each provider of type
+ * SessionType::HEARING_AID_SOFTWARE_ENCODING_DATAPATH can be started and
+ * stopped with different PCM config
+ */
+TEST_F(BluetoothAudioProviderHearingAidSoftwareHidlTest,
+       StartAndEndHearingAidSessionWithPossiblePcmConfig) {
+  bool is_codec_config_valid;
+  std::unique_ptr<DataMQ> tempDataMQ;
+  auto hidl_cb = [&is_codec_config_valid, &tempDataMQ](
+                     BluetoothAudioStatus status,
+                     const DataMQ::Descriptor& dataMQ) {
+    if (is_codec_config_valid) {
+      ASSERT_EQ(status, BluetoothAudioStatus::SUCCESS);
+      ASSERT_TRUE(dataMQ.isHandleValid());
+      tempDataMQ.reset(new DataMQ(dataMQ));
+    } else {
+      EXPECT_EQ(status, BluetoothAudioStatus::UNSUPPORTED_CODEC_CONFIGURATION);
+      EXPECT_FALSE(dataMQ.isHandleValid());
+    }
+  };
+  AudioConfiguration audio_config = {};
+  PcmParameters pcm_parameters = {};
+  for (auto sample_rate : hearing_aid_sample_rates_) {
+    pcm_parameters.sampleRate = sample_rate;
+    for (auto bits_per_sample : hearing_aid_bits_per_samples_) {
+      pcm_parameters.bitsPerSample = bits_per_sample;
+      for (auto channel_mode : hearing_aid_channel_modes_) {
+        pcm_parameters.channelMode = channel_mode;
+        is_codec_config_valid = IsPcmParametersSupported(pcm_parameters);
+        audio_config.pcmConfig(pcm_parameters);
+        auto hidl_retval =
+            audio_provider_->startSession(audio_port_, audio_config, hidl_cb);
+        // HIDL calls should not be failed and callback has to be executed
+        ASSERT_TRUE(hidl_retval.isOk());
+        if (is_codec_config_valid) {
+          EXPECT_TRUE(tempDataMQ != nullptr && tempDataMQ->isValid());
+        }
+        EXPECT_TRUE(audio_provider_->endSession().isOk());
+      }  // ChannelMode
+    }    // BitsPerSampple
+  }      // SampleRate
+}
+
+int main(int argc, char** argv) {
+  ::testing::AddGlobalTestEnvironment(
+      BluetoothAudioHidlEnvironment::Instance());
+  ::testing::InitGoogleTest(&argc, argv);
+  BluetoothAudioHidlEnvironment::Instance()->init(&argc, argv);
+  int status = RUN_ALL_TESTS();
+  LOG(INFO) << "Test result = " << status;
+  return status;
+}
diff --git a/camera/common/1.0/default/Exif.cpp b/camera/common/1.0/default/Exif.cpp
index 6054999..4de05c5 100644
--- a/camera/common/1.0/default/Exif.cpp
+++ b/camera/common/1.0/default/Exif.cpp
@@ -18,7 +18,7 @@
 #define ATRACE_TAG ATRACE_TAG_CAMERA
 //#define LOG_NDEBUG 0
 
-#include <cutils/log.h>
+#include <android/log.h>
 
 #include <inttypes.h>
 #include <math.h>
diff --git a/camera/device/3.2/default/CameraDeviceSession.cpp b/camera/device/3.2/default/CameraDeviceSession.cpp
index fd785df..f2d7a47 100644
--- a/camera/device/3.2/default/CameraDeviceSession.cpp
+++ b/camera/device/3.2/default/CameraDeviceSession.cpp
@@ -44,13 +44,15 @@
 static constexpr int METADATA_SHRINK_REL_THRESHOLD = 2;
 
 HandleImporter CameraDeviceSession::sHandleImporter;
+buffer_handle_t CameraDeviceSession::sEmptyBuffer = nullptr;
+
 const int CameraDeviceSession::ResultBatcher::NOT_BATCHED;
 
 CameraDeviceSession::CameraDeviceSession(
     camera3_device_t* device,
     const camera_metadata_t* deviceInfo,
     const sp<ICameraDeviceCallback>& callback) :
-        camera3_callback_ops({&sProcessCaptureResult, &sNotify}),
+        camera3_callback_ops({&sProcessCaptureResult, &sNotify, nullptr, nullptr}),
         mDevice(device),
         mDeviceVersion(device->common.version),
         mFreeBufEarly(shouldFreeBufEarly()),
@@ -246,10 +248,50 @@
     }
 }
 
+Status CameraDeviceSession::importBuffer(int32_t streamId,
+        uint64_t bufId, buffer_handle_t buf,
+        /*out*/buffer_handle_t** outBufPtr,
+        bool allowEmptyBuf) {
+
+    if (buf == nullptr && bufId == BUFFER_ID_NO_BUFFER) {
+        if (allowEmptyBuf) {
+            *outBufPtr = &sEmptyBuffer;
+            return Status::OK;
+        } else {
+            ALOGE("%s: bufferId %" PRIu64 " has null buffer handle!", __FUNCTION__, bufId);
+            return Status::ILLEGAL_ARGUMENT;
+        }
+    }
+
+    Mutex::Autolock _l(mInflightLock);
+    CirculatingBuffers& cbs = mCirculatingBuffers[streamId];
+    if (cbs.count(bufId) == 0) {
+        // Register a newly seen buffer
+        buffer_handle_t importedBuf = buf;
+        sHandleImporter.importBuffer(importedBuf);
+        if (importedBuf == nullptr) {
+            ALOGE("%s: output buffer for stream %d is invalid!", __FUNCTION__, streamId);
+            return Status::INTERNAL_ERROR;
+        } else {
+            cbs[bufId] = importedBuf;
+        }
+    }
+    *outBufPtr = &cbs[bufId];
+    return Status::OK;
+}
+
 Status CameraDeviceSession::importRequest(
         const CaptureRequest& request,
         hidl_vec<buffer_handle_t*>& allBufPtrs,
         hidl_vec<int>& allFences) {
+    return importRequestImpl(request, allBufPtrs, allFences);
+}
+
+Status CameraDeviceSession::importRequestImpl(
+        const CaptureRequest& request,
+        hidl_vec<buffer_handle_t*>& allBufPtrs,
+        hidl_vec<int>& allFences,
+        bool allowEmptyBuf) {
     bool hasInputBuf = (request.inputBuffer.streamId != -1 &&
             request.inputBuffer.bufferId != 0);
     size_t numOutputBufs = request.outputBuffers.size();
@@ -277,25 +319,15 @@
     }
 
     for (size_t i = 0; i < numBufs; i++) {
-        buffer_handle_t buf = allBufs[i];
-        uint64_t bufId = allBufIds[i];
-        CirculatingBuffers& cbs = mCirculatingBuffers[streamIds[i]];
-        if (cbs.count(bufId) == 0) {
-            if (buf == nullptr) {
-                ALOGE("%s: bufferId %" PRIu64 " has null buffer handle!", __FUNCTION__, bufId);
-                return Status::ILLEGAL_ARGUMENT;
-            }
-            // Register a newly seen buffer
-            buffer_handle_t importedBuf = buf;
-            sHandleImporter.importBuffer(importedBuf);
-            if (importedBuf == nullptr) {
-                ALOGE("%s: output buffer %zu is invalid!", __FUNCTION__, i);
-                return Status::INTERNAL_ERROR;
-            } else {
-                cbs[bufId] = importedBuf;
-            }
+        Status st = importBuffer(
+                streamIds[i], allBufIds[i], allBufs[i], &allBufPtrs[i],
+                // Disallow empty buf for input stream, otherwise follow
+                // the allowEmptyBuf argument.
+                (hasInputBuf && i == numOutputBufs) ? false : allowEmptyBuf);
+        if (st != Status::OK) {
+            // Detailed error logs printed in importBuffer
+            return st;
         }
-        allBufPtrs[i] = &cbs[bufId];
     }
 
     // All buffers are imported. Now validate output buffer acquire fences
@@ -1271,18 +1303,26 @@
         ATRACE_END();
 
         // free all imported buffers
+        Mutex::Autolock _l(mInflightLock);
         for(auto& pair : mCirculatingBuffers) {
             CirculatingBuffers& buffers = pair.second;
             for (auto& p2 : buffers) {
                 sHandleImporter.freeBuffer(p2.second);
             }
+            buffers.clear();
         }
+        mCirculatingBuffers.clear();
 
         mClosed = true;
     }
     return Void();
 }
 
+uint64_t CameraDeviceSession::getCapResultBufferId(const buffer_handle_t&, int) {
+    // No need to fill in bufferId by default
+    return BUFFER_ID_NO_BUFFER;
+}
+
 status_t CameraDeviceSession::constructCaptureResult(CaptureResult& result,
                                                  const camera3_capture_result *hal_result) {
     uint32_t frameNumber = hal_result->frame_number;
@@ -1396,6 +1436,14 @@
         result.outputBuffers[i].streamId =
                 static_cast<Camera3Stream*>(hal_result->output_buffers[i].stream)->mId;
         result.outputBuffers[i].buffer = nullptr;
+        if (hal_result->output_buffers[i].buffer != nullptr) {
+            result.outputBuffers[i].bufferId = getCapResultBufferId(
+                    *(hal_result->output_buffers[i].buffer),
+                    result.outputBuffers[i].streamId);
+        } else {
+            result.outputBuffers[i].bufferId = 0;
+        }
+
         result.outputBuffers[i].status = (BufferStatus) hal_result->output_buffers[i].status;
         // skip acquire fence since it's of no use to camera service
         if (hal_result->output_buffers[i].release_fence != -1) {
diff --git a/camera/device/3.2/default/CameraDeviceSession.h b/camera/device/3.2/default/CameraDeviceSession.h
index bcee259..a96c245 100644
--- a/camera/device/3.2/default/CameraDeviceSession.h
+++ b/camera/device/3.2/default/CameraDeviceSession.h
@@ -161,6 +161,7 @@
     std::map<uint32_t, bool> mInflightRawBoostPresent;
     ::android::hardware::camera::common::V1_0::helper::CameraMetadata mOverridenRequest;
 
+    static const uint64_t BUFFER_ID_NO_BUFFER = 0;
     // buffers currently ciculating between HAL and camera service
     // key: bufferId sent via HIDL interface
     // value: imported buffer_handle_t
@@ -171,6 +172,7 @@
     std::map<int, CirculatingBuffers> mCirculatingBuffers;
 
     static HandleImporter sHandleImporter;
+    static buffer_handle_t sEmptyBuffer;
 
     bool mInitFail;
     bool mFirstRequest = false;
@@ -301,11 +303,23 @@
     Status initStatus() const;
 
     // Validate and import request's input buffer and acquire fence
-    Status importRequest(
+    virtual Status importRequest(
             const CaptureRequest& request,
             hidl_vec<buffer_handle_t*>& allBufPtrs,
             hidl_vec<int>& allFences);
 
+    Status importRequestImpl(
+            const CaptureRequest& request,
+            hidl_vec<buffer_handle_t*>& allBufPtrs,
+            hidl_vec<int>& allFences,
+            // Optional argument for ICameraDeviceSession@3.5 impl
+            bool allowEmptyBuf = false);
+
+    Status importBuffer(int32_t streamId,
+            uint64_t bufId, buffer_handle_t buf,
+            /*out*/buffer_handle_t** outBufPtr,
+            bool allowEmptyBuf);
+
     static void cleanupInflightFences(
             hidl_vec<int>& allFences, size_t numFences);
 
@@ -332,6 +346,11 @@
     static callbacks_process_capture_result_t sProcessCaptureResult;
     static callbacks_notify_t sNotify;
 
+    // By default camera service uses frameNumber/streamId pair to retrieve the buffer that
+    // was sent to HAL. Override this implementation if HAL is using buffers from buffer management
+    // APIs to send output buffer.
+    virtual uint64_t getCapResultBufferId(const buffer_handle_t& buf, int streamId);
+
     status_t constructCaptureResult(CaptureResult& result,
                                 const camera3_capture_result *hal_result);
 
diff --git a/camera/device/3.4/default/CameraDeviceSession.cpp b/camera/device/3.4/default/CameraDeviceSession.cpp
index f2e031c..e52577c 100644
--- a/camera/device/3.4/default/CameraDeviceSession.cpp
+++ b/camera/device/3.4/default/CameraDeviceSession.cpp
@@ -87,6 +87,14 @@
 Return<void> CameraDeviceSession::configureStreams_3_4(
         const StreamConfiguration& requestedConfiguration,
         ICameraDeviceSession::configureStreams_3_4_cb _hidl_cb)  {
+    configureStreams_3_4_Impl(requestedConfiguration, _hidl_cb);
+    return Void();
+}
+
+void CameraDeviceSession::configureStreams_3_4_Impl(
+        const StreamConfiguration& requestedConfiguration,
+        ICameraDeviceSession::configureStreams_3_4_cb _hidl_cb,
+        uint32_t streamConfigCounter)  {
     Status status = initStatus();
     HalStreamConfiguration outStreams;
 
@@ -97,7 +105,7 @@
                 ALOGE("%s: trying to configureStreams with physical camera id with V3.2 callback",
                         __FUNCTION__);
                 _hidl_cb(Status::INTERNAL_ERROR, outStreams);
-                return Void();
+                return;
             }
         }
     }
@@ -109,7 +117,7 @@
         ALOGE("%s: trying to configureStreams while there are still %zu inflight buffers!",
                 __FUNCTION__, mInflightBuffers.size());
         _hidl_cb(Status::INTERNAL_ERROR, outStreams);
-        return Void();
+        return;
     }
 
     if (!mInflightAETriggerOverrides.empty()) {
@@ -117,7 +125,7 @@
                 " trigger overrides!", __FUNCTION__,
                 mInflightAETriggerOverrides.size());
         _hidl_cb(Status::INTERNAL_ERROR, outStreams);
-        return Void();
+        return;
     }
 
     if (!mInflightRawBoostPresent.empty()) {
@@ -125,12 +133,12 @@
                 " boost overrides!", __FUNCTION__,
                 mInflightRawBoostPresent.size());
         _hidl_cb(Status::INTERNAL_ERROR, outStreams);
-        return Void();
+        return;
     }
 
     if (status != Status::OK) {
         _hidl_cb(status, outStreams);
-        return Void();
+        return;
     }
 
     const camera_metadata_t *paramBuffer = nullptr;
@@ -139,11 +147,12 @@
     }
 
     camera3_stream_configuration_t stream_list{};
+    stream_list.stream_configuration_counter = streamConfigCounter;
     hidl_vec<camera3_stream_t*> streams;
     stream_list.session_parameters = paramBuffer;
     if (!preProcessConfigurationLocked_3_4(requestedConfiguration, &stream_list, &streams)) {
         _hidl_cb(Status::INTERNAL_ERROR, outStreams);
-        return Void();
+        return;
     }
 
     ATRACE_BEGIN("camera3->configure_streams");
@@ -168,7 +177,7 @@
     }
 
     _hidl_cb(status, outStreams);
-    return Void();
+    return;
 }
 
 bool CameraDeviceSession::preProcessConfigurationLocked_3_4(
diff --git a/camera/device/3.4/default/include/device_v3_4_impl/CameraDeviceSession.h b/camera/device/3.4/default/include/device_v3_4_impl/CameraDeviceSession.h
index fdc8a5a..00500b1 100644
--- a/camera/device/3.4/default/include/device_v3_4_impl/CameraDeviceSession.h
+++ b/camera/device/3.4/default/include/device_v3_4_impl/CameraDeviceSession.h
@@ -87,6 +87,12 @@
     void postProcessConfigurationFailureLocked_3_4(
             const StreamConfiguration& requestedConfiguration);
 
+    void configureStreams_3_4_Impl(
+            const StreamConfiguration& requestedConfiguration,
+            ICameraDeviceSession::configureStreams_3_4_cb _hidl_cb,
+            // Optional argument for ICameraDeviceSession@3.5 impl
+            uint32_t streamConfigCounter = 0);
+
     Return<void> processCaptureRequest_3_4(
             const hidl_vec<V3_4::CaptureRequest>& requests,
             const hidl_vec<V3_2::BufferCache>& cachesToRemove,
diff --git a/camera/device/3.5/default/CameraDeviceSession.cpp b/camera/device/3.5/default/CameraDeviceSession.cpp
index 963893a..0770f04 100644
--- a/camera/device/3.5/default/CameraDeviceSession.cpp
+++ b/camera/device/3.5/default/CameraDeviceSession.cpp
@@ -15,8 +15,10 @@
  */
 
 #define LOG_TAG "CamDevSession@3.5-impl"
+#define ATRACE_TAG ATRACE_TAG_CAMERA
 #include <android/log.h>
 
+#include <vector>
 #include <utils/Trace.h>
 #include "CameraDeviceSession.h"
 
@@ -33,13 +35,26 @@
     const sp<V3_2::ICameraDeviceCallback>& callback) :
         V3_4::implementation::CameraDeviceSession(device, deviceInfo, callback) {
 
-    mHasCallback_3_5 = false;
+    mCallback_3_5 = nullptr;
 
     auto castResult = ICameraDeviceCallback::castFrom(callback);
     if (castResult.isOk()) {
         sp<ICameraDeviceCallback> callback3_5 = castResult;
         if (callback3_5 != nullptr) {
-            mHasCallback_3_5 = true;
+            mCallback_3_5 = callback3_5;
+        }
+    }
+
+    if (mCallback_3_5 != nullptr) {
+        camera_metadata_entry bufMgrVersion = mDeviceInfo.find(
+                ANDROID_INFO_SUPPORTED_BUFFER_MANAGEMENT_VERSION);
+        if (bufMgrVersion.count > 0) {
+            mSupportBufMgr = (bufMgrVersion.data.u8[0] ==
+                    ANDROID_INFO_SUPPORTED_BUFFER_MANAGEMENT_VERSION_HIDL_DEVICE_3_5);
+            if (mSupportBufMgr) {
+                request_stream_buffers = sRequestStreamBuffers;
+                return_stream_buffers = sReturnStreamBuffers;
+            }
         }
     }
 }
@@ -50,14 +65,297 @@
 Return<void> CameraDeviceSession::configureStreams_3_5(
         const StreamConfiguration& requestedConfiguration,
         ICameraDeviceSession::configureStreams_3_5_cb _hidl_cb)  {
-    return configureStreams_3_4(requestedConfiguration.v3_4, _hidl_cb);
+    configureStreams_3_4_Impl(requestedConfiguration.v3_4, _hidl_cb,
+            requestedConfiguration.streamConfigCounter);
+    return Void();
 }
 
 Return<void> CameraDeviceSession::signalStreamFlush(
-        const hidl_vec<int32_t>& /*requests*/, uint32_t /*streamConfigCounter*/) {
+        const hidl_vec<int32_t>& streamIds, uint32_t streamConfigCounter) {
+    std::vector<camera3_stream_t*> streams(streamIds.size());
+    {
+        Mutex::Autolock _l(mInflightLock);
+        for (size_t i = 0; i < streamIds.size(); i++) {
+            int32_t id = streamIds[i];
+            if (mStreamMap.count(id) == 0) {
+                ALOGE("%s: unknown streamId %d", __FUNCTION__, id);
+                return Void();
+            }
+            streams[i] = &mStreamMap[id];
+        }
+    }
+    if (mDevice->ops->signal_stream_flush != nullptr) {
+        mDevice->ops->signal_stream_flush(mDevice,
+                streamConfigCounter, streams.size(), streams.data());
+    }
     return Void();
 }
 
+Status CameraDeviceSession::importRequest(
+        const CaptureRequest& request,
+        hidl_vec<buffer_handle_t*>& allBufPtrs,
+        hidl_vec<int>& allFences) {
+    if (mSupportBufMgr) {
+        return importRequestImpl(request, allBufPtrs, allFences, /*allowEmptyBuf*/ true);
+    }
+    return importRequestImpl(request, allBufPtrs, allFences, /*allowEmptyBuf*/ false);
+}
+
+void CameraDeviceSession::pushBufferId(
+        const buffer_handle_t& buf, uint64_t bufferId, int streamId) {
+    std::lock_guard<std::mutex> lock(mBufferIdMapLock);
+
+    // emplace will return existing entry if there is one.
+    auto pair = mBufferIdMaps.emplace(streamId, BufferIdMap{});
+    BufferIdMap& bIdMap = pair.first->second;
+    bIdMap[buf] = bufferId;
+}
+
+uint64_t CameraDeviceSession::popBufferId(
+        const buffer_handle_t& buf, int streamId) {
+    std::lock_guard<std::mutex> lock(mBufferIdMapLock);
+
+    auto streamIt = mBufferIdMaps.find(streamId);
+    if (streamIt == mBufferIdMaps.end()) {
+        return BUFFER_ID_NO_BUFFER;
+    }
+    BufferIdMap& bIdMap = streamIt->second;
+    auto it = bIdMap.find(buf);
+    if (it == bIdMap.end()) {
+        return BUFFER_ID_NO_BUFFER;
+    }
+    uint64_t bufId = it->second;
+    bIdMap.erase(it);
+    if (bIdMap.empty()) {
+        mBufferIdMaps.erase(streamIt);
+    }
+    return bufId;
+}
+
+uint64_t CameraDeviceSession::getCapResultBufferId(const buffer_handle_t& buf, int streamId) {
+    if (mSupportBufMgr) {
+        return popBufferId(buf, streamId);
+    }
+    return BUFFER_ID_NO_BUFFER;
+}
+
+Camera3Stream* CameraDeviceSession::getStreamPointer(int32_t streamId) {
+    Mutex::Autolock _l(mInflightLock);
+    if (mStreamMap.count(streamId) == 0) {
+        ALOGE("%s: unknown streamId %d", __FUNCTION__, streamId);
+        return nullptr;
+    }
+    return &mStreamMap[streamId];
+}
+
+void CameraDeviceSession::cleanupInflightBufferFences(
+        std::vector<int>& fences, std::vector<std::pair<buffer_handle_t, int>>& bufs) {
+    hidl_vec<int> hFences = fences;
+    cleanupInflightFences(hFences, fences.size());
+    for (auto& p : bufs) {
+        popBufferId(p.first, p.second);
+    }
+}
+
+camera3_buffer_request_status_t CameraDeviceSession::requestStreamBuffers(
+        uint32_t num_buffer_reqs,
+        const camera3_buffer_request_t *buffer_reqs,
+        /*out*/uint32_t *num_returned_buf_reqs,
+        /*out*/camera3_stream_buffer_ret_t *returned_buf_reqs) {
+    ATRACE_CALL();
+    *num_returned_buf_reqs = 0;
+    hidl_vec<BufferRequest> hBufReqs(num_buffer_reqs);
+    for (size_t i = 0; i < num_buffer_reqs; i++) {
+        hBufReqs[i].streamId =
+                static_cast<Camera3Stream*>(buffer_reqs[i].stream)->mId;
+        hBufReqs[i].numBuffersRequested = buffer_reqs[i].num_buffers_requested;
+    }
+
+    ATRACE_BEGIN("HIDL requestStreamBuffers");
+    BufferRequestStatus status;
+    hidl_vec<StreamBufferRet> bufRets;
+    auto err = mCallback_3_5->requestStreamBuffers(hBufReqs,
+            [&status, &bufRets]
+            (BufferRequestStatus s, const hidl_vec<StreamBufferRet>& rets) {
+                status = s;
+                bufRets = std::move(rets);
+            });
+    if (!err.isOk()) {
+        ALOGE("%s: Transaction error: %s", __FUNCTION__, err.description().c_str());
+        return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+    }
+    ATRACE_END();
+
+    if (status == BufferRequestStatus::OK || status == BufferRequestStatus::FAILED_PARTIAL) {
+        if (bufRets.size() != num_buffer_reqs) {
+            ALOGE("%s: expect %d buffer requests returned, only got %zu",
+                    __FUNCTION__, num_buffer_reqs, bufRets.size());
+            return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+        }
+
+        for (size_t i = 0; i < num_buffer_reqs; i++) {
+            // maybe we can query all streams in one call to avoid frequent locking device here?
+            Camera3Stream* stream = getStreamPointer(bufRets[i].streamId);
+            if (stream == nullptr) {
+                ALOGE("%s: unknown streamId %d", __FUNCTION__, bufRets[i].streamId);
+                return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+            }
+            returned_buf_reqs[i].stream = stream;
+        }
+
+        std::vector<int> importedFences;
+        std::vector<std::pair<buffer_handle_t, int>> importedBuffers;
+        for (size_t i = 0; i < num_buffer_reqs; i++) {
+            int streamId = bufRets[i].streamId;
+            switch (bufRets[i].val.getDiscriminator()) {
+                case StreamBuffersVal::hidl_discriminator::error:
+                    returned_buf_reqs[i].num_output_buffers = 0;
+                    switch (bufRets[i].val.error()) {
+                        case StreamBufferRequestError::NO_BUFFER_AVAILABLE:
+                            returned_buf_reqs[i].status = CAMERA3_PS_BUF_REQ_NO_BUFFER_AVAILABLE;
+                            break;
+                        case StreamBufferRequestError::MAX_BUFFER_EXCEEDED:
+                            returned_buf_reqs[i].status = CAMERA3_PS_BUF_REQ_MAX_BUFFER_EXCEEDED;
+                            break;
+                        case StreamBufferRequestError::STREAM_DISCONNECTED:
+                            returned_buf_reqs[i].status = CAMERA3_PS_BUF_REQ_STREAM_DISCONNECTED;
+                            break;
+                        case StreamBufferRequestError::UNKNOWN_ERROR:
+                            returned_buf_reqs[i].status = CAMERA3_PS_BUF_REQ_UNKNOWN_ERROR;
+                            break;
+                        default:
+                            ALOGE("%s: Unknown StreamBufferRequestError %d",
+                                    __FUNCTION__, bufRets[i].val.error());
+                            cleanupInflightBufferFences(importedFences, importedBuffers);
+                            return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+                    }
+                    break;
+                case StreamBuffersVal::hidl_discriminator::buffers: {
+                    const hidl_vec<StreamBuffer>& hBufs = bufRets[i].val.buffers();
+                    camera3_stream_buffer_t* outBufs = returned_buf_reqs[i].output_buffers;
+                    for (size_t b = 0; b < hBufs.size(); b++) {
+                        const StreamBuffer& hBuf = hBufs[b];
+                        camera3_stream_buffer_t& outBuf = outBufs[b];
+                        // maybe add importBuffers API to avoid frequent locking device?
+                        Status s = importBuffer(streamId,
+                                hBuf.bufferId, hBuf.buffer.getNativeHandle(),
+                                /*out*/&(outBuf.buffer),
+                                /*allowEmptyBuf*/false);
+                        if (s != Status::OK) {
+                            ALOGE("%s: import stream %d bufferId %" PRIu64 " failed!",
+                                    __FUNCTION__, streamId, hBuf.bufferId);
+                            cleanupInflightBufferFences(importedFences, importedBuffers);
+                            // Buffer import should never fail - restart HAL since something is very
+                            // wrong.
+                            assert(false);
+                            return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+                        }
+
+                        pushBufferId(*(outBuf.buffer), hBuf.bufferId, streamId);
+                        importedBuffers.push_back(std::make_pair(*(outBuf.buffer), streamId));
+
+                        if (!sHandleImporter.importFence(
+                                hBuf.acquireFence,
+                                outBuf.acquire_fence)) {
+                            ALOGE("%s: stream %d bufferId %" PRIu64 "acquire fence is invalid",
+                                    __FUNCTION__, streamId, hBuf.bufferId);
+                            cleanupInflightBufferFences(importedFences, importedBuffers);
+                            return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+                        }
+                        importedFences.push_back(outBuf.acquire_fence);
+                        outBuf.stream = returned_buf_reqs[i].stream;
+                        outBuf.status = CAMERA3_BUFFER_STATUS_OK;
+                        outBuf.release_fence = -1;
+                    }
+                    returned_buf_reqs[i].status = CAMERA3_PS_BUF_REQ_OK;
+                } break;
+                default:
+                    ALOGE("%s: unknown StreamBuffersVal discrimator!", __FUNCTION__);
+                    cleanupInflightBufferFences(importedFences, importedBuffers);
+                    return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+            }
+        }
+
+        *num_returned_buf_reqs = num_buffer_reqs;
+
+        return (status == BufferRequestStatus::OK) ?
+                CAMERA3_BUF_REQ_OK : CAMERA3_BUF_REQ_FAILED_PARTIAL;
+    }
+
+    switch (status) {
+        case BufferRequestStatus::FAILED_CONFIGURING:
+            return CAMERA3_BUF_REQ_FAILED_CONFIGURING;
+        case BufferRequestStatus::FAILED_ILLEGAL_ARGUMENTS:
+            return CAMERA3_BUF_REQ_FAILED_ILLEGAL_ARGUMENTS;
+        case BufferRequestStatus::FAILED_UNKNOWN:
+        default:
+            return CAMERA3_BUF_REQ_FAILED_UNKNOWN;
+    }
+}
+
+void CameraDeviceSession::returnStreamBuffers(
+        uint32_t num_buffers,
+        const camera3_stream_buffer_t* const* buffers) {
+    ATRACE_CALL();
+    hidl_vec<StreamBuffer> hBufs(num_buffers);
+
+    for (size_t i = 0; i < num_buffers; i++) {
+        hBufs[i].streamId =
+                static_cast<Camera3Stream*>(buffers[i]->stream)->mId;
+        hBufs[i].buffer = nullptr; // use bufferId
+        hBufs[i].bufferId = popBufferId(*(buffers[i]->buffer), hBufs[i].streamId);
+        if (hBufs[i].bufferId == BUFFER_ID_NO_BUFFER) {
+            ALOGE("%s: unknown buffer is returned to stream %d",
+                    __FUNCTION__, hBufs[i].streamId);
+        }
+        // ERROR since the buffer is not for application to consume
+        hBufs[i].status = BufferStatus::ERROR;
+        // skip acquire fence since it's of no use to camera service
+        if (buffers[i]->release_fence != -1) {
+            native_handle_t* handle = native_handle_create(/*numFds*/1, /*numInts*/0);
+            handle->data[0] = buffers[i]->release_fence;
+            hBufs[i].releaseFence.setTo(handle, /*shouldOwn*/true);
+        }
+    }
+
+    mCallback_3_5->returnStreamBuffers(hBufs);
+    return;
+}
+
+/**
+ * Static callback forwarding methods from HAL to instance
+ */
+camera3_buffer_request_status_t CameraDeviceSession::sRequestStreamBuffers(
+        const struct camera3_callback_ops *cb,
+        uint32_t num_buffer_reqs,
+        const camera3_buffer_request_t *buffer_reqs,
+        /*out*/uint32_t *num_returned_buf_reqs,
+        /*out*/camera3_stream_buffer_ret_t *returned_buf_reqs) {
+    CameraDeviceSession *d =
+            const_cast<CameraDeviceSession*>(static_cast<const CameraDeviceSession*>(cb));
+
+    if (num_buffer_reqs == 0 || buffer_reqs == nullptr || num_returned_buf_reqs == nullptr ||
+            returned_buf_reqs == nullptr) {
+        ALOGE("%s: bad argument: numBufReq %d, bufReqs %p, numRetBufReq %p, retBufReqs %p",
+                __FUNCTION__, num_buffer_reqs, buffer_reqs,
+                num_returned_buf_reqs, returned_buf_reqs);
+        return CAMERA3_BUF_REQ_FAILED_ILLEGAL_ARGUMENTS;
+    }
+
+    return d->requestStreamBuffers(num_buffer_reqs, buffer_reqs,
+            num_returned_buf_reqs, returned_buf_reqs);
+}
+
+void CameraDeviceSession::sReturnStreamBuffers(
+        const struct camera3_callback_ops *cb,
+        uint32_t num_buffers,
+        const camera3_stream_buffer_t* const* buffers) {
+    CameraDeviceSession *d =
+            const_cast<CameraDeviceSession*>(static_cast<const CameraDeviceSession*>(cb));
+
+    d->returnStreamBuffers(num_buffers, buffers);
+}
+
 } // namespace implementation
 }  // namespace V3_5
 }  // namespace device
diff --git a/camera/device/3.5/default/include/device_v3_5_impl/CameraDeviceSession.h b/camera/device/3.5/default/include/device_v3_5_impl/CameraDeviceSession.h
index ec34769..4f7284c 100644
--- a/camera/device/3.5/default/include/device_v3_5_impl/CameraDeviceSession.h
+++ b/camera/device/3.5/default/include/device_v3_5_impl/CameraDeviceSession.h
@@ -21,6 +21,7 @@
 #include <android/hardware/camera/device/3.5/ICameraDeviceSession.h>
 #include <android/hardware/camera/device/3.5/ICameraDeviceCallback.h>
 #include <../../3.4/default/include/device_v3_4_impl/CameraDeviceSession.h>
+#include <unordered_map>
 
 namespace android {
 namespace hardware {
@@ -30,11 +31,14 @@
 namespace implementation {
 
 using namespace ::android::hardware::camera::device;
+using ::android::hardware::camera::device::V3_2::BufferStatus;
 using ::android::hardware::camera::device::V3_2::CaptureRequest;
+using ::android::hardware::camera::device::V3_2::StreamBuffer;
 using ::android::hardware::camera::device::V3_5::StreamConfiguration;
 using ::android::hardware::camera::device::V3_4::HalStreamConfiguration;
 using ::android::hardware::camera::device::V3_5::ICameraDeviceSession;
 using ::android::hardware::camera::device::V3_5::ICameraDeviceCallback;
+using ::android::hardware::camera::device::V3_2::implementation::Camera3Stream;
 using ::android::hardware::camera::common::V1_0::Status;
 using ::android::hardware::camera::common::V1_0::helper::HandleImporter;
 using ::android::hardware::Return;
@@ -44,6 +48,25 @@
 using ::android::sp;
 using ::android::Mutex;
 
+
+/**
+ * Function pointer types with C calling convention to
+ * use for HAL callback functions.
+ */
+extern "C" {
+    typedef camera3_buffer_request_status_t (callbacks_request_stream_buffer_t)(
+            const struct camera3_callback_ops *,
+            uint32_t num_buffer_reqs,
+            const camera3_buffer_request_t *buffer_reqs,
+            /*out*/uint32_t *num_returned_buf_reqs,
+            /*out*/camera3_stream_buffer_ret_t *returned_buf_reqs);
+
+    typedef void (callbacks_return_stream_buffer_t)(
+            const struct camera3_callback_ops *,
+            uint32_t num_buffers,
+            const camera3_stream_buffer_t* const* buffers);
+}
+
 struct CameraDeviceSession : public V3_4::implementation::CameraDeviceSession {
 
     CameraDeviceSession(camera3_device_t*,
@@ -62,12 +85,85 @@
             ICameraDeviceSession::configureStreams_3_5_cb _hidl_cb);
 
     Return<void> signalStreamFlush(
-            const hidl_vec<int32_t>& requests,
+            const hidl_vec<int32_t>& streamIds,
             uint32_t streamConfigCounter);
 
+    virtual Status importRequest(
+            const CaptureRequest& request,
+            hidl_vec<buffer_handle_t*>& allBufPtrs,
+            hidl_vec<int>& allFences) override;
 
-    // Whether this camera device session is created with version 3.5 callback.
-    bool mHasCallback_3_5;
+    /**
+     * Static callback forwarding methods from HAL to instance
+     */
+    static callbacks_request_stream_buffer_t sRequestStreamBuffers;
+    static callbacks_return_stream_buffer_t sReturnStreamBuffers;
+
+    camera3_buffer_request_status_t requestStreamBuffers(
+            uint32_t num_buffer_reqs,
+            const camera3_buffer_request_t *buffer_reqs,
+            /*out*/uint32_t *num_returned_buf_reqs,
+            /*out*/camera3_stream_buffer_ret_t *returned_buf_reqs);
+
+    void returnStreamBuffers(
+            uint32_t num_buffers,
+            const camera3_stream_buffer_t* const* buffers);
+
+    struct BufferHasher {
+        size_t operator()(const buffer_handle_t& buf) const {
+            if (buf == nullptr)
+                return 0;
+
+            size_t result = 1;
+            result = 31 * result + buf->numFds;
+            for (int i = 0; i < buf->numFds; i++) {
+                result = 31 * result + buf->data[i];
+            }
+            return result;
+        }
+    };
+
+    struct BufferComparator {
+        bool operator()(const buffer_handle_t& buf1, const buffer_handle_t& buf2) const {
+            if (buf1->numFds == buf2->numFds) {
+                for (int i = 0; i < buf1->numFds; i++) {
+                    if (buf1->data[i] != buf2->data[i]) {
+                        return false;
+                    }
+                }
+                return true;
+            }
+            return false;
+        }
+    };
+
+    Camera3Stream* getStreamPointer(int32_t streamId);
+
+    // Register buffer to mBufferIdMaps so we can find corresponding bufferId
+    // when the buffer is returned to camera service
+    void pushBufferId(const buffer_handle_t& buf, uint64_t bufferId, int streamId);
+
+    // Method to pop buffer's bufferId from mBufferIdMaps
+    // BUFFER_ID_NO_BUFFER is returned if no matching buffer is found
+    uint64_t popBufferId(const buffer_handle_t& buf, int streamId);
+
+    // Method to cleanup imported buffer/fences if requestStreamBuffers fails half way
+    void cleanupInflightBufferFences(
+            std::vector<int>& fences, std::vector<std::pair<buffer_handle_t, int>>& bufs);
+
+    // Overrides the default constructCaptureResult behavior for buffer management APIs
+    virtual uint64_t getCapResultBufferId(const buffer_handle_t& buf, int streamId) override;
+
+    std::mutex mBufferIdMapLock; // protecting mBufferIdMaps and mNextBufferId
+    typedef std::unordered_map<const buffer_handle_t, uint64_t,
+            BufferHasher, BufferComparator> BufferIdMap;
+    // stream ID -> per stream buffer ID map for buffers coming from requestStreamBuffers API
+    // Entries are created during requestStreamBuffers when a stream first request a buffer, and
+    // deleted in returnStreamBuffers/processCaptureResult* when all buffers are returned
+    std::unordered_map<int, BufferIdMap> mBufferIdMaps;
+
+    sp<ICameraDeviceCallback> mCallback_3_5;
+    bool mSupportBufMgr;
 
 private:
 
diff --git a/camera/metadata/3.4/types.hal b/camera/metadata/3.4/types.hal
index 4caf3e3..bb630f1 100644
--- a/camera/metadata/3.4/types.hal
+++ b/camera/metadata/3.4/types.hal
@@ -179,6 +179,14 @@
  * Enumeration definitions for the various entries that need them
  */
 
+/** android.request.availableCapabilities enumeration values added since v3.3
+ * @see ANDROID_REQUEST_AVAILABLE_CAPABILITIES
+ */
+enum CameraMetadataEnumAndroidRequestAvailableCapabilities :
+        @3.3::CameraMetadataEnumAndroidRequestAvailableCapabilities {
+    ANDROID_REQUEST_AVAILABLE_CAPABILITIES_SECURE_IMAGE_DATA,
+};
+
 /** android.scaler.availableFormats enumeration values added since v3.2
  * @see ANDROID_SCALER_AVAILABLE_FORMATS
  */
diff --git a/camera/provider/2.4/default/CameraProvider.cpp b/camera/provider/2.4/default/CameraProvider.cpp
index f143dd7..e02cc7e 100644
--- a/camera/provider/2.4/default/CameraProvider.cpp
+++ b/camera/provider/2.4/default/CameraProvider.cpp
@@ -41,11 +41,8 @@
 const char *kExternalProviderName = "external/0";
 // "device@<version>/legacy/<id>"
 const std::regex kDeviceNameRE("device@([0-9]+\\.[0-9]+)/legacy/(.+)");
-const char *kHAL3_2 = "3.2";
-const char *kHAL3_3 = "3.3";
 const char *kHAL3_4 = "3.4";
 const char *kHAL3_5 = "3.5";
-const char *kHAL1_0 = "1.0";
 const int kMaxCameraDeviceNameLen = 128;
 const int kMaxCameraIdLen = 16;
 
@@ -226,22 +223,6 @@
     return cameraId;
 }
 
-int CameraProvider::getCameraDeviceVersion(const hidl_string& deviceName) {
-    std::string deviceVersion;
-    bool match = matchDeviceName(deviceName, &deviceVersion, nullptr);
-    if (!match) {
-        return -1;
-    }
-    if (deviceVersion == kHAL3_3) {
-        return CAMERA_DEVICE_API_VERSION_3_3;
-    } else if (deviceVersion == kHAL3_2) {
-        return CAMERA_DEVICE_API_VERSION_3_2;
-    } else if (deviceVersion == kHAL1_0) {
-        return CAMERA_DEVICE_API_VERSION_1_0;
-    }
-    return 0;
-}
-
 std::string CameraProvider::getHidlDeviceName(
         std::string cameraId, int deviceVersion) {
     // Maybe consider create a version check method and SortedVec to speed up?
@@ -249,9 +230,16 @@
             deviceVersion != CAMERA_DEVICE_API_VERSION_3_2 &&
             deviceVersion != CAMERA_DEVICE_API_VERSION_3_3 &&
             deviceVersion != CAMERA_DEVICE_API_VERSION_3_4 &&
-            deviceVersion != CAMERA_DEVICE_API_VERSION_3_5) {
+            deviceVersion != CAMERA_DEVICE_API_VERSION_3_5 &&
+            deviceVersion != CAMERA_DEVICE_API_VERSION_3_6) {
         return hidl_string("");
     }
+
+    // Supported combinations:
+    // CAMERA_DEVICE_API_VERSION_1_0 -> ICameraDevice@1.0
+    // CAMERA_DEVICE_API_VERSION_3_[2-4] -> ICameraDevice@[3.2|3.3]
+    // CAMERA_DEVICE_API_VERSION_3_5 + CAMERA_MODULE_API_VERSION_2_4 -> ICameraDevice@3.4
+    // CAMERA_DEVICE_API_VERSION_3_[5-6] + CAMERA_MODULE_API_VERSION_2_5 -> ICameraDevice@3.5
     bool isV1 = deviceVersion == CAMERA_DEVICE_API_VERSION_1_0;
     int versionMajor = isV1 ? 1 : 3;
     int versionMinor = isV1 ? 0 : mPreferredHal3MinorVersion;
@@ -261,6 +249,8 @@
         } else {
             versionMinor = 4;
         }
+    } else if (deviceVersion == CAMERA_DEVICE_API_VERSION_3_6) {
+        versionMinor = 5;
     }
     char deviceName[kMaxCameraDeviceNameLen];
     snprintf(deviceName, sizeof(deviceName), "device@%d.%d/legacy/%s",
@@ -360,7 +350,8 @@
 
     // device_version undefined in CAMERA_MODULE_API_VERSION_1_0,
     // All CAMERA_MODULE_API_VERSION_1_0 devices are backward-compatible
-    if (mModule->getModuleApiVersion() >= CAMERA_MODULE_API_VERSION_2_0) {
+    uint16_t moduleVersion = mModule->getModuleApiVersion();
+    if (moduleVersion >= CAMERA_MODULE_API_VERSION_2_0) {
         // Verify the device version is in the supported range
         switch (info.device_version) {
             case CAMERA_DEVICE_API_VERSION_1_0:
@@ -370,6 +361,20 @@
             case CAMERA_DEVICE_API_VERSION_3_5:
                 // in support
                 break;
+            case CAMERA_DEVICE_API_VERSION_3_6:
+                /**
+                 * ICameraDevice@3.5 contains APIs from both
+                 * CAMERA_DEVICE_API_VERSION_3_6 and CAMERA_MODULE_API_VERSION_2_5
+                 * so we require HALs to uprev both for simplified supported combinations.
+                 * HAL can still opt in individual new APIs indepedently.
+                 */
+                if (moduleVersion < CAMERA_MODULE_API_VERSION_2_5) {
+                    ALOGE("%s: Device %d has unsupported version combination:"
+                            "HAL version %x and module version %x",
+                            __FUNCTION__, id, info.device_version, moduleVersion);
+                    return NO_INIT;
+                }
+                break;
             case CAMERA_DEVICE_API_VERSION_2_0:
             case CAMERA_DEVICE_API_VERSION_2_1:
             case CAMERA_DEVICE_API_VERSION_3_0:
@@ -575,10 +580,11 @@
         return Void();
     }
 
-    // ICameraDevice 3.4 or upper
     sp<android::hardware::camera::device::V3_2::implementation::CameraDevice> deviceImpl;
+
+    // ICameraDevice 3.4 or upper
     if (deviceVersion >= kHAL3_4) {
-        ALOGV("Constructing v3.4 camera device");
+        ALOGV("Constructing v3.4+ camera device");
         if (deviceVersion == kHAL3_4) {
             deviceImpl = new android::hardware::camera::device::V3_4::implementation::CameraDevice(
                     mModule, cameraId, mCameraDeviceNames);
diff --git a/camera/provider/2.4/default/CameraProvider.h b/camera/provider/2.4/default/CameraProvider.h
index 0f0959f..10e9b0d 100644
--- a/camera/provider/2.4/default/CameraProvider.h
+++ b/camera/provider/2.4/default/CameraProvider.h
@@ -98,7 +98,6 @@
 
     // extract legacy camera ID/device version from a HIDL device name
     static std::string getLegacyCameraId(const hidl_string& deviceName);
-    static int getCameraDeviceVersion(const hidl_string& deviceName);
 
     // convert conventional HAL status to HIDL Status
     static Status getHidlStatus(int);
diff --git a/cas/1.1/Android.bp b/cas/1.1/Android.bp
new file mode 100644
index 0000000..bb0edb9
--- /dev/null
+++ b/cas/1.1/Android.bp
@@ -0,0 +1,20 @@
+// This file is autogenerated by hidl-gen -Landroidbp.
+
+hidl_interface {
+    name: "android.hardware.cas@1.1",
+    root: "android.hardware",
+    vndk: {
+        enabled: true,
+    },
+    srcs: [
+        "ICas.hal",
+        "ICasListener.hal",
+        "IMediaCasService.hal",
+    ],
+    interfaces: [
+        "android.hardware.cas@1.0",
+        "android.hidl.base@1.0",
+    ],
+    gen_java: true,
+}
+
diff --git a/cas/1.1/ICas.hal b/cas/1.1/ICas.hal
new file mode 100644
index 0000000..027968e
--- /dev/null
+++ b/cas/1.1/ICas.hal
@@ -0,0 +1,42 @@
+/*
+ * 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.cas@1.1;
+
+import @1.0::HidlCasSessionId;
+import @1.0::ICas;
+import @1.0::Status;
+
+/**
+ * ICas is the API to control the cas system and is accessible from both
+ * Java and native level. It is used to manage sessions, provision/refresh
+ * the cas system, and process the EMM/ECM messages. It also allows bi-directional,
+ * scheme-specific communications between the client and the cas system.
+ */
+
+interface ICas extends @1.0::ICas {
+   /**
+     * Send an scheme-specific session event to the CasPlugin.
+     *
+     * @param sessionId the id of an opened session.
+     * @param event an integer denoting a scheme-specific event to be sent.
+     * @param arg a scheme-specific integer argument for the event.
+     * @param data a byte array containing scheme-specific data for the event.
+     * @return status the status of the call.
+     */
+    sendSessionEvent(HidlCasSessionId sessionId, int32_t event, int32_t arg,
+                     vec<uint8_t> eventData)
+          generates (Status status);
+};
diff --git a/cas/1.1/ICasListener.hal b/cas/1.1/ICasListener.hal
new file mode 100644
index 0000000..5ec1154
--- /dev/null
+++ b/cas/1.1/ICasListener.hal
@@ -0,0 +1,33 @@
+/*
+ * 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.cas@1.1;
+
+import @1.0::ICasListener;
+import @1.0::HidlCasSessionId;
+
+interface ICasListener extends @1.0::ICasListener{
+    /**
+      * Notify the listener of a scheme-specific session event from CA system.
+      *
+      * @param sessionId the id of an opened session.
+      * @param event an integer whose meaning is scheme-specific.
+      * @param arg an integer whose meaning is scheme-specific.
+      * @param data a byte array of data whose format and meaning are
+      * scheme-specific.
+      */
+    onSessionEvent(HidlCasSessionId sessionId, int32_t event, int32_t arg,
+                   vec<uint8_t> data);
+};
diff --git a/cas/1.1/IMediaCasService.hal b/cas/1.1/IMediaCasService.hal
new file mode 100644
index 0000000..e82b54c
--- /dev/null
+++ b/cas/1.1/IMediaCasService.hal
@@ -0,0 +1,38 @@
+/*
+ * 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.cas@1.1;
+
+import @1.1::ICas;
+import @1.1::ICasListener;
+import @1.0::IMediaCasService;
+
+/**
+ * IMediaCasService is the main entry point for interacting with a vendor's
+ * cas HAL to create cas and descrambler plugin instances. A cas plugin instance
+ * opens cas sessions which are used to obtain keys for a descrambler session,
+ * which can in turn be used to descramble protected video content.
+ */
+
+interface IMediaCasService extends @1.0::IMediaCasService {
+    /**
+     * Construct a new instance of a @1.1 ICAS CasPlugin given a CA_system_id.
+     *
+     * @param caSystemId the id of the CA system.
+     * @param listener the event listener to receive events coming from the CasPlugin.
+     * @return cas the newly created CasPlugin interface.
+     */
+    createPluginExt(int32_t caSystemId, ICasListener listener) generates (ICas cas);
+};
diff --git a/cas/1.1/default/Android.bp b/cas/1.1/default/Android.bp
new file mode 100644
index 0000000..68a49cf
--- /dev/null
+++ b/cas/1.1/default/Android.bp
@@ -0,0 +1,49 @@
+cc_defaults {
+    name: "cas_service_defaults@1.1",
+    defaults: ["hidl_defaults"],
+    vendor: true,
+    relative_install_path: "hw",
+    srcs: [
+      "CasImpl.cpp",
+      "DescramblerImpl.cpp",
+      "MediaCasService.cpp",
+      "service.cpp",
+      "SharedLibrary.cpp",
+      "TypeConvert.cpp",
+    ],
+
+    compile_multilib: "32",
+
+    shared_libs: [
+      "android.hardware.cas@1.0",
+      "android.hardware.cas@1.1",
+      "android.hardware.cas.native@1.0",
+      "android.hidl.memory@1.0",
+      "libbinder",
+      "libhidlbase",
+      "libhidlmemory",
+      "libhidltransport",
+      "liblog",
+      "libutils",
+    ],
+    header_libs: [
+      "libstagefright_foundation_headers",
+      "media_plugin_headers",
+    ],
+}
+
+cc_binary {
+    name: "android.hardware.cas@1.1-service",
+    vintf_fragments: ["android.hardware.cas@1.1-service.xml"],
+    defaults: ["cas_service_defaults@1.1"],
+    init_rc: ["android.hardware.cas@1.1-service.rc"],
+}
+
+cc_binary {
+    name: "android.hardware.cas@1.1-service-lazy",
+    vintf_fragments: ["android.hardware.cas@1.1-service-lazy.xml"],
+    overrides: ["android.hardware.cas@1.1-service"],
+    defaults: ["cas_service_defaults@1.1"],
+    init_rc: ["android.hardware.cas@1.1-service-lazy.rc"],
+    cflags: ["-DLAZY_SERVICE"],
+}
diff --git a/cas/1.1/default/CasImpl.cpp b/cas/1.1/default/CasImpl.cpp
new file mode 100644
index 0000000..4cc6017
--- /dev/null
+++ b/cas/1.1/default/CasImpl.cpp
@@ -0,0 +1,222 @@
+/*
+ * 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_NDEBUG 0
+#define LOG_TAG "android.hardware.cas@1.1-CasImpl"
+
+#include <android/hardware/cas/1.1/ICasListener.h>
+#include <media/cas/CasAPI.h>
+#include <utils/Log.h>
+
+#include "CasImpl.h"
+#include "SharedLibrary.h"
+#include "TypeConvert.h"
+
+namespace android {
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+CasImpl::CasImpl(const sp<ICasListener>& listener) : mListener(listener) {
+    ALOGV("CTOR");
+}
+
+CasImpl::~CasImpl() {
+    ALOGV("DTOR");
+    release();
+}
+
+// static
+void CasImpl::OnEvent(void* appData, int32_t event, int32_t arg, uint8_t* data, size_t size) {
+    if (appData == NULL) {
+        ALOGE("Invalid appData!");
+        return;
+    }
+    CasImpl* casImpl = static_cast<CasImpl*>(appData);
+    casImpl->onEvent(event, arg, data, size);
+}
+
+// static
+void CasImpl::CallBackExt(void* appData, int32_t event, int32_t arg, uint8_t* data, size_t size,
+                          const CasSessionId* sessionId) {
+    if (appData == NULL) {
+        ALOGE("Invalid appData!");
+        return;
+    }
+    CasImpl* casImpl = static_cast<CasImpl*>(appData);
+    casImpl->onEvent(sessionId, event, arg, data, size);
+}
+
+void CasImpl::init(const sp<SharedLibrary>& library, CasPlugin* plugin) {
+    mLibrary = library;
+    std::shared_ptr<CasPlugin> holder(plugin);
+    std::atomic_store(&mPluginHolder, holder);
+}
+
+void CasImpl::onEvent(int32_t event, int32_t arg, uint8_t* data, size_t size) {
+    if (mListener == NULL) {
+        return;
+    }
+
+    HidlCasData eventData;
+    if (data != NULL) {
+        eventData.setToExternal(data, size);
+    }
+
+    mListener->onEvent(event, arg, eventData);
+}
+
+void CasImpl::onEvent(const CasSessionId* sessionId, int32_t event, int32_t arg, uint8_t* data,
+                      size_t size) {
+    if (mListener == NULL) {
+        return;
+    }
+
+    HidlCasData eventData;
+    if (data != NULL) {
+        eventData.setToExternal(data, size);
+    }
+
+    if (sessionId != NULL) {
+        mListener->onSessionEvent(*sessionId, event, arg, eventData);
+    } else {
+        mListener->onEvent(event, arg, eventData);
+    }
+}
+
+Return<Status> CasImpl::setPrivateData(const HidlCasData& pvtData) {
+    ALOGV("%s", __FUNCTION__);
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+    return toStatus(holder->setPrivateData(pvtData));
+}
+
+Return<void> CasImpl::openSession(openSession_cb _hidl_cb) {
+    ALOGV("%s", __FUNCTION__);
+    CasSessionId sessionId;
+
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    status_t err = INVALID_OPERATION;
+    if (holder.get() != nullptr) {
+        err = holder->openSession(&sessionId);
+        holder.reset();
+    }
+
+    _hidl_cb(toStatus(err), sessionId);
+
+    return Void();
+}
+
+Return<Status> CasImpl::setSessionPrivateData(const HidlCasSessionId& sessionId,
+                                              const HidlCasData& pvtData) {
+    ALOGV("%s: sessionId=%s", __FUNCTION__, sessionIdToString(sessionId).string());
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+    return toStatus(holder->setSessionPrivateData(sessionId, pvtData));
+}
+
+Return<Status> CasImpl::closeSession(const HidlCasSessionId& sessionId) {
+    ALOGV("%s: sessionId=%s", __FUNCTION__, sessionIdToString(sessionId).string());
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+    return toStatus(holder->closeSession(sessionId));
+}
+
+Return<Status> CasImpl::processEcm(const HidlCasSessionId& sessionId, const HidlCasData& ecm) {
+    ALOGV("%s: sessionId=%s", __FUNCTION__, sessionIdToString(sessionId).string());
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+
+    return toStatus(holder->processEcm(sessionId, ecm));
+}
+
+Return<Status> CasImpl::processEmm(const HidlCasData& emm) {
+    ALOGV("%s", __FUNCTION__);
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+
+    return toStatus(holder->processEmm(emm));
+}
+
+Return<Status> CasImpl::sendEvent(int32_t event, int32_t arg, const HidlCasData& eventData) {
+    ALOGV("%s", __FUNCTION__);
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+
+    status_t err = holder->sendEvent(event, arg, eventData);
+    return toStatus(err);
+}
+
+Return<Status> CasImpl::sendSessionEvent(const HidlCasSessionId& sessionId, int32_t event,
+                                         int32_t arg, const HidlCasData& eventData) {
+    ALOGV("%s", __FUNCTION__);
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+
+    status_t err = holder->sendSessionEvent(sessionId, event, arg, eventData);
+    return toStatus(err);
+}
+
+Return<Status> CasImpl::provision(const hidl_string& provisionString) {
+    ALOGV("%s: provisionString=%s", __FUNCTION__, provisionString.c_str());
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+
+    return toStatus(holder->provision(String8(provisionString.c_str())));
+}
+
+Return<Status> CasImpl::refreshEntitlements(int32_t refreshType, const HidlCasData& refreshData) {
+    ALOGV("%s", __FUNCTION__);
+    std::shared_ptr<CasPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+
+    status_t err = holder->refreshEntitlements(refreshType, refreshData);
+    return toStatus(err);
+}
+
+Return<Status> CasImpl::release() {
+    ALOGV("%s: plugin=%p", __FUNCTION__, mPluginHolder.get());
+
+    std::shared_ptr<CasPlugin> holder(nullptr);
+    std::atomic_store(&mPluginHolder, holder);
+
+    return Status::OK;
+}
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
diff --git a/cas/1.1/default/CasImpl.h b/cas/1.1/default/CasImpl.h
new file mode 100644
index 0000000..18aee9e
--- /dev/null
+++ b/cas/1.1/default/CasImpl.h
@@ -0,0 +1,98 @@
+/*
+ * 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_CAS_V1_1_CAS_IMPL_H_
+#define ANDROID_HARDWARE_CAS_V1_1_CAS_IMPL_H_
+
+#include <android/hardware/cas/1.1/ICas.h>
+#include <media/stagefright/foundation/ABase.h>
+
+namespace android {
+struct CasPlugin;
+
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+struct ICasListener;
+namespace implementation {
+
+using ::android::hardware::cas::V1_0::HidlCasData;
+using ::android::hardware::cas::V1_0::HidlCasSessionId;
+using ::android::hardware::cas::V1_0::Status;
+
+class SharedLibrary;
+
+class CasImpl : public ICas {
+   public:
+    CasImpl(const sp<ICasListener>& listener);
+    virtual ~CasImpl();
+
+    static void OnEvent(void* appData, int32_t event, int32_t arg, uint8_t* data, size_t size);
+
+    static void CallBackExt(void* appData, int32_t event, int32_t arg, uint8_t* data, size_t size,
+                            const CasSessionId* sessionId);
+
+    void init(const sp<SharedLibrary>& library, CasPlugin* plugin);
+    void onEvent(int32_t event, int32_t arg, uint8_t* data, size_t size);
+
+    void onEvent(const CasSessionId* sessionId, int32_t event, int32_t arg, uint8_t* data,
+                 size_t size);
+
+    // ICas inherits
+
+    virtual Return<Status> setPrivateData(const HidlCasData& pvtData) override;
+
+    virtual Return<void> openSession(openSession_cb _hidl_cb) override;
+
+    virtual Return<Status> closeSession(const HidlCasSessionId& sessionId) override;
+
+    virtual Return<Status> setSessionPrivateData(const HidlCasSessionId& sessionId,
+                                                 const HidlCasData& pvtData) override;
+
+    virtual Return<Status> processEcm(const HidlCasSessionId& sessionId,
+                                      const HidlCasData& ecm) override;
+
+    virtual Return<Status> processEmm(const HidlCasData& emm) override;
+
+    virtual Return<Status> sendEvent(int32_t event, int32_t arg,
+                                     const HidlCasData& eventData) override;
+
+    virtual Return<Status> sendSessionEvent(const HidlCasSessionId& sessionId, int32_t event,
+                                            int32_t arg, const HidlCasData& eventData) override;
+
+    virtual Return<Status> provision(const hidl_string& provisionString) override;
+
+    virtual Return<Status> refreshEntitlements(int32_t refreshType,
+                                               const HidlCasData& refreshData) override;
+
+    virtual Return<Status> release() override;
+
+   private:
+    struct PluginHolder;
+    sp<SharedLibrary> mLibrary;
+    std::shared_ptr<CasPlugin> mPluginHolder;
+    sp<ICasListener> mListener;
+
+    DISALLOW_EVIL_CONSTRUCTORS(CasImpl);
+};
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_CAS_V1_1_CAS_IMPL_H_
diff --git a/cas/1.1/default/DescramblerImpl.cpp b/cas/1.1/default/DescramblerImpl.cpp
new file mode 100644
index 0000000..36dc1a5
--- /dev/null
+++ b/cas/1.1/default/DescramblerImpl.cpp
@@ -0,0 +1,195 @@
+/*
+ * 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_NDEBUG 0
+#define LOG_TAG "android.hardware.cas@1.1-DescramblerImpl"
+
+#include <hidlmemory/mapping.h>
+#include <media/cas/DescramblerAPI.h>
+#include <media/hardware/CryptoAPI.h>
+#include <media/stagefright/foundation/AUtils.h>
+#include <utils/Log.h>
+
+#include "DescramblerImpl.h"
+#include "SharedLibrary.h"
+#include "TypeConvert.h"
+
+namespace android {
+using hidl::memory::V1_0::IMemory;
+
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+#define CHECK_SUBSAMPLE_DEF(type)                                                                 \
+    static_assert(sizeof(SubSample) == sizeof(type::SubSample), "SubSample: size doesn't match"); \
+    static_assert(offsetof(SubSample, numBytesOfClearData) ==                                     \
+                          offsetof(type::SubSample, mNumBytesOfClearData),                        \
+                  "SubSample: numBytesOfClearData offset doesn't match");                         \
+    static_assert(offsetof(SubSample, numBytesOfEncryptedData) ==                                 \
+                          offsetof(type::SubSample, mNumBytesOfEncryptedData),                    \
+                  "SubSample: numBytesOfEncryptedData offset doesn't match")
+
+CHECK_SUBSAMPLE_DEF(DescramblerPlugin);
+CHECK_SUBSAMPLE_DEF(CryptoPlugin);
+
+DescramblerImpl::DescramblerImpl(const sp<SharedLibrary>& library, DescramblerPlugin* plugin)
+    : mLibrary(library), mPluginHolder(plugin) {
+    ALOGV("CTOR: plugin=%p", mPluginHolder.get());
+}
+
+DescramblerImpl::~DescramblerImpl() {
+    ALOGV("DTOR: plugin=%p", mPluginHolder.get());
+    release();
+}
+
+Return<Status> DescramblerImpl::setMediaCasSession(const HidlCasSessionId& sessionId) {
+    ALOGV("%s: sessionId=%s", __FUNCTION__, sessionIdToString(sessionId).string());
+
+    std::shared_ptr<DescramblerPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return toStatus(INVALID_OPERATION);
+    }
+
+    return toStatus(holder->setMediaCasSession(sessionId));
+}
+
+Return<bool> DescramblerImpl::requiresSecureDecoderComponent(const hidl_string& mime) {
+    std::shared_ptr<DescramblerPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        return false;
+    }
+
+    return holder->requiresSecureDecoderComponent(String8(mime.c_str()));
+}
+
+static inline bool validateRangeForSize(uint64_t offset, uint64_t length, uint64_t size) {
+    return isInRange<uint64_t, uint64_t>(0, size, offset, length);
+}
+
+Return<void> DescramblerImpl::descramble(ScramblingControl scramblingControl,
+                                         const hidl_vec<SubSample>& subSamples,
+                                         const SharedBuffer& srcBuffer, uint64_t srcOffset,
+                                         const DestinationBuffer& dstBuffer, uint64_t dstOffset,
+                                         descramble_cb _hidl_cb) {
+    ALOGV("%s", __FUNCTION__);
+
+    // hidl_memory's size is stored in uint64_t, but mapMemory's mmap will map
+    // size in size_t. If size is over SIZE_MAX, mapMemory mapMemory could succeed
+    // but the mapped memory's actual size will be smaller than the reported size.
+    if (srcBuffer.heapBase.size() > SIZE_MAX) {
+        ALOGE("Invalid hidl_memory size: %llu", srcBuffer.heapBase.size());
+        android_errorWriteLog(0x534e4554, "79376389");
+        _hidl_cb(toStatus(BAD_VALUE), 0, NULL);
+        return Void();
+    }
+
+    sp<IMemory> srcMem = mapMemory(srcBuffer.heapBase);
+
+    // Validate if the offset and size in the SharedBuffer is consistent with the
+    // mapped ashmem, since the offset and size is controlled by client.
+    if (srcMem == NULL) {
+        ALOGE("Failed to map src buffer.");
+        _hidl_cb(toStatus(BAD_VALUE), 0, NULL);
+        return Void();
+    }
+    if (!validateRangeForSize(srcBuffer.offset, srcBuffer.size, (uint64_t)srcMem->getSize())) {
+        ALOGE("Invalid src buffer range: offset %llu, size %llu, srcMem size %llu",
+              srcBuffer.offset, srcBuffer.size, (uint64_t)srcMem->getSize());
+        android_errorWriteLog(0x534e4554, "67962232");
+        _hidl_cb(toStatus(BAD_VALUE), 0, NULL);
+        return Void();
+    }
+
+    // use 64-bit here to catch bad subsample size that might be overflowing.
+    uint64_t totalBytesInSubSamples = 0;
+    for (size_t i = 0; i < subSamples.size(); i++) {
+        totalBytesInSubSamples +=
+                (uint64_t)subSamples[i].numBytesOfClearData + subSamples[i].numBytesOfEncryptedData;
+    }
+    // Further validate if the specified srcOffset and requested total subsample size
+    // is consistent with the source shared buffer size.
+    if (!validateRangeForSize(srcOffset, totalBytesInSubSamples, srcBuffer.size)) {
+        ALOGE("Invalid srcOffset and subsample size: "
+              "srcOffset %llu, totalBytesInSubSamples %llu, srcBuffer size %llu",
+              srcOffset, totalBytesInSubSamples, srcBuffer.size);
+        android_errorWriteLog(0x534e4554, "67962232");
+        _hidl_cb(toStatus(BAD_VALUE), 0, NULL);
+        return Void();
+    }
+
+    void* srcPtr = (uint8_t*)(void*)srcMem->getPointer() + srcBuffer.offset;
+    void* dstPtr = NULL;
+    if (dstBuffer.type == BufferType::SHARED_MEMORY) {
+        // When using shared memory, src buffer is also used as dst,
+        // we don't map it again here.
+        dstPtr = srcPtr;
+
+        // In this case the dst and src would be the same buffer, need to validate
+        // dstOffset against the buffer size too.
+        if (!validateRangeForSize(dstOffset, totalBytesInSubSamples, srcBuffer.size)) {
+            ALOGE("Invalid dstOffset and subsample size: "
+                  "dstOffset %llu, totalBytesInSubSamples %llu, srcBuffer size %llu",
+                  dstOffset, totalBytesInSubSamples, srcBuffer.size);
+            android_errorWriteLog(0x534e4554, "67962232");
+            _hidl_cb(toStatus(BAD_VALUE), 0, NULL);
+            return Void();
+        }
+    } else {
+        native_handle_t* handle =
+                const_cast<native_handle_t*>(dstBuffer.secureMemory.getNativeHandle());
+        dstPtr = static_cast<void*>(handle);
+    }
+
+    // Get a local copy of the shared_ptr for the plugin. Note that before
+    // calling the HIDL callback, this shared_ptr must be manually reset,
+    // since the client side could proceed as soon as the callback is called
+    // without waiting for this method to go out of scope.
+    std::shared_ptr<DescramblerPlugin> holder = std::atomic_load(&mPluginHolder);
+    if (holder.get() == nullptr) {
+        _hidl_cb(toStatus(INVALID_OPERATION), 0, NULL);
+        return Void();
+    }
+
+    // Casting hidl SubSample to DescramblerPlugin::SubSample, but need
+    // to ensure structs are actually idential
+
+    int32_t result =
+            holder->descramble(dstBuffer.type != BufferType::SHARED_MEMORY,
+                               (DescramblerPlugin::ScramblingControl)scramblingControl,
+                               subSamples.size(), (DescramblerPlugin::SubSample*)subSamples.data(),
+                               srcPtr, srcOffset, dstPtr, dstOffset, NULL);
+
+    holder.reset();
+    _hidl_cb(toStatus(result >= 0 ? OK : result), result, NULL);
+    return Void();
+}
+
+Return<Status> DescramblerImpl::release() {
+    ALOGV("%s: plugin=%p", __FUNCTION__, mPluginHolder.get());
+
+    std::shared_ptr<DescramblerPlugin> holder(nullptr);
+    std::atomic_store(&mPluginHolder, holder);
+
+    return Status::OK;
+}
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
diff --git a/cas/1.1/default/DescramblerImpl.h b/cas/1.1/default/DescramblerImpl.h
new file mode 100644
index 0000000..a1f66ae
--- /dev/null
+++ b/cas/1.1/default/DescramblerImpl.h
@@ -0,0 +1,67 @@
+/*
+ * 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_CAS_V1_1_DESCRAMBLER_IMPL_H_
+#define ANDROID_HARDWARE_CAS_V1_1_DESCRAMBLER_IMPL_H_
+
+#include <android/hardware/cas/native/1.0/IDescrambler.h>
+#include <media/stagefright/foundation/ABase.h>
+
+namespace android {
+struct DescramblerPlugin;
+using namespace hardware::cas::native::V1_0;
+
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+using ::android::hardware::cas::V1_0::HidlCasSessionId;
+using ::android::hardware::cas::V1_0::Status;
+
+class SharedLibrary;
+
+class DescramblerImpl : public IDescrambler {
+   public:
+    DescramblerImpl(const sp<SharedLibrary>& library, DescramblerPlugin* plugin);
+    virtual ~DescramblerImpl();
+
+    virtual Return<Status> setMediaCasSession(const HidlCasSessionId& sessionId) override;
+
+    virtual Return<bool> requiresSecureDecoderComponent(const hidl_string& mime) override;
+
+    virtual Return<void> descramble(ScramblingControl scramblingControl,
+                                    const hidl_vec<SubSample>& subSamples,
+                                    const SharedBuffer& srcBuffer, uint64_t srcOffset,
+                                    const DestinationBuffer& dstBuffer, uint64_t dstOffset,
+                                    descramble_cb _hidl_cb) override;
+
+    virtual Return<Status> release() override;
+
+   private:
+    sp<SharedLibrary> mLibrary;
+    std::shared_ptr<DescramblerPlugin> mPluginHolder;
+
+    DISALLOW_EVIL_CONSTRUCTORS(DescramblerImpl);
+};
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_CAS_V1_1_DESCRAMBLER_IMPL_H_
diff --git a/cas/1.1/default/FactoryLoader.h b/cas/1.1/default/FactoryLoader.h
new file mode 100644
index 0000000..c4a48e2
--- /dev/null
+++ b/cas/1.1/default/FactoryLoader.h
@@ -0,0 +1,217 @@
+/*
+ * 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_CAS_V1_1_FACTORY_LOADER_H_
+#define ANDROID_HARDWARE_CAS_V1_1_FACTORY_LOADER_H_
+
+#include <dirent.h>
+#include <dlfcn.h>
+#include <media/cas/CasAPI.h>
+#include <utils/KeyedVector.h>
+#include <utils/Mutex.h>
+#include "SharedLibrary.h"
+
+using namespace std;
+
+namespace android {
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+using ::android::hardware::cas::V1_0::HidlCasPluginDescriptor;
+
+template <class T>
+class FactoryLoader {
+   public:
+    FactoryLoader(const char* name) : mFactory(NULL), mCreateFactoryFuncName(name) {}
+
+    virtual ~FactoryLoader() { closeFactory(); }
+
+    bool findFactoryForScheme(int32_t CA_system_id, sp<SharedLibrary>* library = NULL,
+                              T** factory = NULL);
+
+    bool enumeratePlugins(vector<HidlCasPluginDescriptor>* results);
+
+   private:
+    typedef T* (*CreateFactoryFunc)();
+
+    Mutex mMapLock;
+    T* mFactory;
+    const char* mCreateFactoryFuncName;
+    sp<SharedLibrary> mLibrary;
+    KeyedVector<int32_t, String8> mCASystemIdToLibraryPathMap;
+    KeyedVector<String8, wp<SharedLibrary> > mLibraryPathToOpenLibraryMap;
+
+    bool loadFactoryForSchemeFromPath(const String8& path, int32_t CA_system_id,
+                                      sp<SharedLibrary>* library, T** factory);
+
+    bool queryPluginsFromPath(const String8& path, vector<HidlCasPluginDescriptor>* results);
+
+    bool openFactory(const String8& path);
+    void closeFactory();
+};
+
+template <class T>
+bool FactoryLoader<T>::findFactoryForScheme(int32_t CA_system_id, sp<SharedLibrary>* library,
+                                            T** factory) {
+    if (library != NULL) {
+        library->clear();
+    }
+    if (factory != NULL) {
+        *factory = NULL;
+    }
+
+    Mutex::Autolock autoLock(mMapLock);
+
+    // first check cache
+    ssize_t index = mCASystemIdToLibraryPathMap.indexOfKey(CA_system_id);
+    if (index >= 0) {
+        return loadFactoryForSchemeFromPath(mCASystemIdToLibraryPathMap[index], CA_system_id,
+                                            library, factory);
+    }
+
+    // no luck, have to search
+    String8 dirPath("/vendor/lib/mediacas");
+    DIR* pDir = opendir(dirPath.string());
+
+    if (pDir == NULL) {
+        ALOGE("Failed to open plugin directory %s", dirPath.string());
+        return false;
+    }
+
+    struct dirent* pEntry;
+    while ((pEntry = readdir(pDir))) {
+        String8 pluginPath = dirPath + "/" + pEntry->d_name;
+        if (pluginPath.getPathExtension() == ".so") {
+            if (loadFactoryForSchemeFromPath(pluginPath, CA_system_id, library, factory)) {
+                mCASystemIdToLibraryPathMap.add(CA_system_id, pluginPath);
+                closedir(pDir);
+
+                return true;
+            }
+        }
+    }
+
+    closedir(pDir);
+
+    ALOGE("Failed to find plugin");
+    return false;
+}
+
+template <class T>
+bool FactoryLoader<T>::enumeratePlugins(vector<HidlCasPluginDescriptor>* results) {
+    ALOGI("enumeratePlugins");
+
+    results->clear();
+
+    String8 dirPath("/vendor/lib/mediacas");
+    DIR* pDir = opendir(dirPath.string());
+
+    if (pDir == NULL) {
+        ALOGE("Failed to open plugin directory %s", dirPath.string());
+        return false;
+    }
+
+    Mutex::Autolock autoLock(mMapLock);
+
+    struct dirent* pEntry;
+    while ((pEntry = readdir(pDir))) {
+        String8 pluginPath = dirPath + "/" + pEntry->d_name;
+        if (pluginPath.getPathExtension() == ".so") {
+            queryPluginsFromPath(pluginPath, results);
+        }
+    }
+    return true;
+}
+
+template <class T>
+bool FactoryLoader<T>::loadFactoryForSchemeFromPath(const String8& path, int32_t CA_system_id,
+                                                    sp<SharedLibrary>* library, T** factory) {
+    closeFactory();
+
+    if (!openFactory(path) || !mFactory->isSystemIdSupported(CA_system_id)) {
+        closeFactory();
+        return false;
+    }
+
+    if (library != NULL) {
+        *library = mLibrary;
+    }
+    if (factory != NULL) {
+        *factory = mFactory;
+    }
+    return true;
+}
+
+template <class T>
+bool FactoryLoader<T>::queryPluginsFromPath(const String8& path,
+                                            vector<HidlCasPluginDescriptor>* results) {
+    closeFactory();
+
+    vector<CasPluginDescriptor> descriptors;
+    if (!openFactory(path) || mFactory->queryPlugins(&descriptors) != OK) {
+        closeFactory();
+        return false;
+    }
+
+    for (auto it = descriptors.begin(); it != descriptors.end(); it++) {
+        results->push_back(
+                HidlCasPluginDescriptor{.caSystemId = it->CA_system_id, .name = it->name.c_str()});
+    }
+    return true;
+}
+
+template <class T>
+bool FactoryLoader<T>::openFactory(const String8& path) {
+    // get strong pointer to open shared library
+    ssize_t index = mLibraryPathToOpenLibraryMap.indexOfKey(path);
+    if (index >= 0) {
+        mLibrary = mLibraryPathToOpenLibraryMap[index].promote();
+    } else {
+        index = mLibraryPathToOpenLibraryMap.add(path, NULL);
+    }
+
+    if (!mLibrary.get()) {
+        mLibrary = new SharedLibrary(path);
+        if (!*mLibrary) {
+            return false;
+        }
+
+        mLibraryPathToOpenLibraryMap.replaceValueAt(index, mLibrary);
+    }
+
+    CreateFactoryFunc createFactory = (CreateFactoryFunc)mLibrary->lookup(mCreateFactoryFuncName);
+    if (createFactory == NULL || (mFactory = createFactory()) == NULL) {
+        return false;
+    }
+    return true;
+}
+
+template <class T>
+void FactoryLoader<T>::closeFactory() {
+    delete mFactory;
+    mFactory = NULL;
+    mLibrary.clear();
+}
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_CAS_V1_1_FACTORY_LOADER_H_
diff --git a/cas/1.1/default/MediaCasService.cpp b/cas/1.1/default/MediaCasService.cpp
new file mode 100644
index 0000000..e2d3357
--- /dev/null
+++ b/cas/1.1/default/MediaCasService.cpp
@@ -0,0 +1,126 @@
+/*
+ * 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_NDEBUG 0
+#define LOG_TAG "android.hardware.cas@1.1-MediaCasService"
+
+#include <android/hardware/cas/1.1/ICasListener.h>
+#include <media/cas/CasAPI.h>
+#include <media/cas/DescramblerAPI.h>
+#include <utils/Log.h>
+
+#include "CasImpl.h"
+#include "DescramblerImpl.h"
+#include "MediaCasService.h"
+
+namespace android {
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+MediaCasService::MediaCasService()
+    : mCasLoader("createCasFactory"), mDescramblerLoader("createDescramblerFactory") {}
+
+MediaCasService::~MediaCasService() {}
+
+Return<void> MediaCasService::enumeratePlugins(enumeratePlugins_cb _hidl_cb) {
+    ALOGV("%s", __FUNCTION__);
+
+    vector<HidlCasPluginDescriptor> results;
+    mCasLoader.enumeratePlugins(&results);
+
+    _hidl_cb(results);
+    return Void();
+}
+
+Return<bool> MediaCasService::isSystemIdSupported(int32_t CA_system_id) {
+    ALOGV("isSystemIdSupported: CA_system_id=%d", CA_system_id);
+
+    return mCasLoader.findFactoryForScheme(CA_system_id);
+}
+
+Return<sp<V1_0::ICas>> MediaCasService::createPlugin(int32_t /* CA_system_id */,
+                                                     const sp<V1_0::ICasListener>& /* listener */) {
+    ALOGE("%s:Use createPluginExt to create plugin with cas@1.1", __FUNCTION__);
+
+    sp<V1_0::ICas> result;
+    /*
+        CasFactory *factory;
+        sp<SharedLibrary> library;
+        if (mCasLoader.findFactoryForScheme(CA_system_id, &library, &factory)) {
+            CasPlugin *plugin = NULL;
+            sp<CasImpl> casImpl = new CasImpl(listener);
+            if (factory->createPlugin(CA_system_id, casImpl.get(),
+                    CasImpl::OnEvent, &plugin) == OK && plugin != NULL) {
+                casImpl->init(library, plugin);
+                result = casImpl;
+            }
+        }
+    */
+    return result;
+}
+
+Return<sp<ICas>> MediaCasService::createPluginExt(int32_t CA_system_id,
+                                                  const sp<ICasListener>& listener) {
+    ALOGV("%s: CA_system_id=%d", __FUNCTION__, CA_system_id);
+
+    sp<ICas> result;
+
+    CasFactory* factory;
+    sp<SharedLibrary> library;
+    if (mCasLoader.findFactoryForScheme(CA_system_id, &library, &factory)) {
+        CasPlugin* plugin = NULL;
+        sp<CasImpl> casImpl = new CasImpl(listener);
+        if (factory->createPlugin(CA_system_id, casImpl.get(), &CasImpl::CallBackExt, &plugin) ==
+                    OK &&
+            plugin != NULL) {
+            casImpl->init(library, plugin);
+            result = casImpl;
+        }
+    }
+
+    return result;
+}
+
+Return<bool> MediaCasService::isDescramblerSupported(int32_t CA_system_id) {
+    ALOGV("%s: CA_system_id=%d", __FUNCTION__, CA_system_id);
+
+    return mDescramblerLoader.findFactoryForScheme(CA_system_id);
+}
+
+Return<sp<IDescramblerBase>> MediaCasService::createDescrambler(int32_t CA_system_id) {
+    ALOGV("%s: CA_system_id=%d", __FUNCTION__, CA_system_id);
+
+    sp<IDescrambler> result;
+
+    DescramblerFactory* factory;
+    sp<SharedLibrary> library;
+    if (mDescramblerLoader.findFactoryForScheme(CA_system_id, &library, &factory)) {
+        DescramblerPlugin* plugin = NULL;
+        if (factory->createPlugin(CA_system_id, &plugin) == OK && plugin != NULL) {
+            result = new DescramblerImpl(library, plugin);
+        }
+    }
+
+    return result;
+}
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
diff --git a/cas/1.1/default/MediaCasService.h b/cas/1.1/default/MediaCasService.h
new file mode 100644
index 0000000..ec5a86d
--- /dev/null
+++ b/cas/1.1/default/MediaCasService.h
@@ -0,0 +1,66 @@
+/*
+ * 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_CAS_V1_1_MEDIA_CAS_SERVICE_H_
+#define ANDROID_HARDWARE_CAS_V1_1_MEDIA_CAS_SERVICE_H_
+
+#include <android/hardware/cas/1.1/IMediaCasService.h>
+
+#include "FactoryLoader.h"
+
+namespace android {
+struct CasFactory;
+struct DescramblerFactory;
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+using ::android::hardware::cas::V1_0::HidlCasPluginDescriptor;
+using ::android::hardware::cas::V1_0::IDescramblerBase;
+
+class MediaCasService : public IMediaCasService {
+   public:
+    MediaCasService();
+
+    virtual Return<void> enumeratePlugins(enumeratePlugins_cb _hidl_cb) override;
+
+    virtual Return<bool> isSystemIdSupported(int32_t CA_system_id) override;
+
+    virtual Return<sp<V1_0::ICas>> createPlugin(int32_t CA_system_id,
+                                                const sp<V1_0::ICasListener>& listener) override;
+
+    virtual Return<sp<ICas>> createPluginExt(int32_t CA_system_id,
+                                             const sp<ICasListener>& listener) override;
+
+    virtual Return<bool> isDescramblerSupported(int32_t CA_system_id) override;
+
+    virtual Return<sp<IDescramblerBase>> createDescrambler(int32_t CA_system_id) override;
+
+   private:
+    FactoryLoader<CasFactory> mCasLoader;
+    FactoryLoader<DescramblerFactory> mDescramblerLoader;
+
+    virtual ~MediaCasService();
+};
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_CAS_V1_1_MEDIA_CAS_SERVICE_H_
diff --git a/cas/1.1/default/SharedLibrary.cpp b/cas/1.1/default/SharedLibrary.cpp
new file mode 100644
index 0000000..ffe4bb9
--- /dev/null
+++ b/cas/1.1/default/SharedLibrary.cpp
@@ -0,0 +1,65 @@
+/*
+ * 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_NDEBUG 0
+#define LOG_TAG "android.hardware.cas@1.1-SharedLibrary"
+
+#include "SharedLibrary.h"
+#include <dlfcn.h>
+#include <media/stagefright/foundation/ADebug.h>
+#include <utils/Log.h>
+
+namespace android {
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+SharedLibrary::SharedLibrary(const String8& path) {
+    mLibHandle = dlopen(path.string(), RTLD_NOW);
+}
+
+SharedLibrary::~SharedLibrary() {
+    if (mLibHandle != NULL) {
+        dlclose(mLibHandle);
+        mLibHandle = NULL;
+    }
+}
+
+bool SharedLibrary::operator!() const {
+    return mLibHandle == NULL;
+}
+
+void* SharedLibrary::lookup(const char* symbol) const {
+    if (!mLibHandle) {
+        return NULL;
+    }
+    // Clear last error before we load the symbol again,
+    // in case the caller didn't retrieve it.
+    (void)dlerror();
+    return dlsym(mLibHandle, symbol);
+}
+
+const char* SharedLibrary::lastError() const {
+    const char* error = dlerror();
+    return error ? error : "No errors or unknown error";
+}
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
diff --git a/cas/1.1/default/SharedLibrary.h b/cas/1.1/default/SharedLibrary.h
new file mode 100644
index 0000000..f4d2ff6
--- /dev/null
+++ b/cas/1.1/default/SharedLibrary.h
@@ -0,0 +1,50 @@
+/*
+ * 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_CAS_V1_1_SHARED_LIBRARY_H_
+#define ANDROID_HARDWARE_CAS_V1_1_SHARED_LIBRARY_H_
+
+#include <media/stagefright/foundation/ABase.h>
+#include <utils/RefBase.h>
+#include <utils/String8.h>
+
+namespace android {
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+class SharedLibrary : public RefBase {
+   public:
+    explicit SharedLibrary(const String8& path);
+    ~SharedLibrary();
+
+    bool operator!() const;
+    void* lookup(const char* symbol) const;
+    const char* lastError() const;
+
+   private:
+    void* mLibHandle;
+    DISALLOW_EVIL_CONSTRUCTORS(SharedLibrary);
+};
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_CAS_V1_1_SHARED_LIBRARY_H_
diff --git a/cas/1.1/default/TypeConvert.cpp b/cas/1.1/default/TypeConvert.cpp
new file mode 100644
index 0000000..09ef41a
--- /dev/null
+++ b/cas/1.1/default/TypeConvert.cpp
@@ -0,0 +1,94 @@
+/*
+ * 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_NDEBUG 0
+#define LOG_TAG "android.hardware.cas@1.1-TypeConvert"
+
+#include "TypeConvert.h"
+#include <utils/Log.h>
+
+namespace android {
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+Status toStatus(status_t legacyStatus) {
+    Status status;
+    switch (legacyStatus) {
+        case android::OK:
+            status = Status::OK;
+            break;
+        case android::ERROR_CAS_NO_LICENSE:
+            status = Status::ERROR_CAS_NO_LICENSE;
+            break;
+        case android::ERROR_CAS_LICENSE_EXPIRED:
+            status = Status::ERROR_CAS_LICENSE_EXPIRED;
+            break;
+        case android::ERROR_CAS_SESSION_NOT_OPENED:
+            status = Status::ERROR_CAS_SESSION_NOT_OPENED;
+            break;
+        case android::ERROR_CAS_CANNOT_HANDLE:
+            status = Status::ERROR_CAS_CANNOT_HANDLE;
+            break;
+        case android::ERROR_CAS_TAMPER_DETECTED:
+            status = Status::ERROR_CAS_INVALID_STATE;
+            break;
+        case android::BAD_VALUE:
+            status = Status::BAD_VALUE;
+            break;
+        case android::ERROR_CAS_NOT_PROVISIONED:
+            status = Status::ERROR_CAS_NOT_PROVISIONED;
+            break;
+        case android::ERROR_CAS_RESOURCE_BUSY:
+            status = Status::ERROR_CAS_RESOURCE_BUSY;
+            break;
+        case android::ERROR_CAS_INSUFFICIENT_OUTPUT_PROTECTION:
+            status = Status::ERROR_CAS_INSUFFICIENT_OUTPUT_PROTECTION;
+            break;
+        case android::ERROR_CAS_DEVICE_REVOKED:
+            status = Status::ERROR_CAS_DEVICE_REVOKED;
+            break;
+        case android::ERROR_CAS_DECRYPT_UNIT_NOT_INITIALIZED:
+            status = Status::ERROR_CAS_DECRYPT_UNIT_NOT_INITIALIZED;
+            break;
+        case android::ERROR_CAS_DECRYPT:
+            status = Status::ERROR_CAS_DECRYPT;
+            break;
+        default:
+            ALOGW("Unable to convert legacy status: %d, defaulting to UNKNOWN", legacyStatus);
+            status = Status::ERROR_CAS_UNKNOWN;
+            break;
+    }
+    return status;
+}
+
+String8 sessionIdToString(const CasSessionId& sessionId) {
+    String8 result;
+    for (size_t i = 0; i < sessionId.size(); i++) {
+        result.appendFormat("%02x ", sessionId[i]);
+    }
+    if (result.isEmpty()) {
+        result.append("(null)");
+    }
+    return result;
+}
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
diff --git a/cas/1.1/default/TypeConvert.h b/cas/1.1/default/TypeConvert.h
new file mode 100644
index 0000000..c4a0119
--- /dev/null
+++ b/cas/1.1/default/TypeConvert.h
@@ -0,0 +1,43 @@
+/*
+ * 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_CAS_V1_1_TYPE_CONVERT_H
+#define ANDROID_HARDWARE_CAS_V1_1_TYPE_CONVERT_H
+
+#include <android/hardware/cas/1.0/types.h>
+#include <media/cas/CasAPI.h>
+#include <media/stagefright/MediaErrors.h>
+#include <utils/String8.h>
+
+namespace android {
+namespace hardware {
+namespace cas {
+namespace V1_1 {
+namespace implementation {
+
+using ::android::hardware::cas::V1_0::Status;
+
+Status toStatus(status_t legacyStatus);
+
+String8 sessionIdToString(const CasSessionId& sessionId);
+
+}  // namespace implementation
+}  // namespace V1_1
+}  // namespace cas
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_CAS_V1_1_TYPE_CONVERT_H
diff --git a/cas/1.1/default/android.hardware.cas@1.1-service-lazy.rc b/cas/1.1/default/android.hardware.cas@1.1-service-lazy.rc
new file mode 100644
index 0000000..9227b6f
--- /dev/null
+++ b/cas/1.1/default/android.hardware.cas@1.1-service-lazy.rc
@@ -0,0 +1,9 @@
+service vendor.cas-hal-1-1 /vendor/bin/hw/android.hardware.cas@1.1-service-lazy
+    interface android.hardware.cas@1.1::IMediaCasService default
+    oneshot
+    disabled
+    class hal
+    user media
+    group mediadrm drmrpc
+    ioprio rt 4
+    writepid /dev/cpuset/foreground/tasks
diff --git a/cas/1.1/default/android.hardware.cas@1.1-service-lazy.xml b/cas/1.1/default/android.hardware.cas@1.1-service-lazy.xml
new file mode 100644
index 0000000..c9f13ba
--- /dev/null
+++ b/cas/1.1/default/android.hardware.cas@1.1-service-lazy.xml
@@ -0,0 +1,11 @@
+<manifest version="1.0" type="device">
+    <hal format="hidl">
+        <name>android.hardware.cas</name>
+        <transport>hwbinder</transport>
+        <version>1.1</version>
+        <interface>
+            <name>IMediaCasService</name>
+            <instance>default</instance>
+        </interface>
+    </hal>
+</manifest>
diff --git a/cas/1.1/default/android.hardware.cas@1.1-service.rc b/cas/1.1/default/android.hardware.cas@1.1-service.rc
new file mode 100644
index 0000000..4081fe1
--- /dev/null
+++ b/cas/1.1/default/android.hardware.cas@1.1-service.rc
@@ -0,0 +1,6 @@
+service vendor.cas-hal-1-1 /vendor/bin/hw/android.hardware.cas@1.1-service
+    class hal
+    user media
+    group mediadrm drmrpc
+    ioprio rt 4
+    writepid /dev/cpuset/foreground/tasks
diff --git a/cas/1.1/default/android.hardware.cas@1.1-service.xml b/cas/1.1/default/android.hardware.cas@1.1-service.xml
new file mode 100644
index 0000000..c9f13ba
--- /dev/null
+++ b/cas/1.1/default/android.hardware.cas@1.1-service.xml
@@ -0,0 +1,11 @@
+<manifest version="1.0" type="device">
+    <hal format="hidl">
+        <name>android.hardware.cas</name>
+        <transport>hwbinder</transport>
+        <version>1.1</version>
+        <interface>
+            <name>IMediaCasService</name>
+            <instance>default</instance>
+        </interface>
+    </hal>
+</manifest>
diff --git a/cas/1.1/default/service.cpp b/cas/1.1/default/service.cpp
new file mode 100644
index 0000000..9625303
--- /dev/null
+++ b/cas/1.1/default/service.cpp
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2017 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_NDEBUG 0
+#ifdef LAZY_SERVICE
+#define LOG_TAG "android.hardware.cas@1.1-service-lazy"
+#else
+#define LOG_TAG "android.hardware.cas@1.1-service"
+#endif
+
+#include <binder/ProcessState.h>
+#include <hidl/HidlTransportSupport.h>
+#include <hidl/LegacySupport.h>
+
+#include "MediaCasService.h"
+
+using android::hardware::configureRpcThreadpool;
+using android::hardware::joinRpcThreadpool;
+using android::hardware::LazyServiceRegistrar;
+using android::hardware::cas::V1_1::IMediaCasService;
+using android::hardware::cas::V1_1::implementation::MediaCasService;
+
+#ifdef LAZY_SERVICE
+const bool kLazyService = true;
+#else
+const bool kLazyService = false;
+#endif
+
+int main() {
+    configureRpcThreadpool(8, true /* callerWillJoin */);
+
+    // Setup hwbinder service
+    android::sp<IMediaCasService> service = new MediaCasService();
+    android::status_t status;
+    if (kLazyService) {
+        auto serviceRegistrar = std::make_shared<LazyServiceRegistrar>();
+        status = serviceRegistrar->registerService(service);
+    } else {
+        status = service->registerAsService();
+    }
+    LOG_ALWAYS_FATAL_IF(status != android::OK, "Error while registering cas service: %d", status);
+
+    joinRpcThreadpool();
+    return 0;
+}
diff --git a/compatibility_matrices/compatibility_matrix.current.xml b/compatibility_matrices/compatibility_matrix.current.xml
index 94ffe80..0540ef1 100644
--- a/compatibility_matrices/compatibility_matrix.current.xml
+++ b/compatibility_matrices/compatibility_matrix.current.xml
@@ -1,5 +1,5 @@
 <compatibility-matrix version="1.0" type="framework" level="4">
-    <hal format="hidl" optional="false">
+    <hal format="hidl" optional="true">
         <name>android.hardware.atrace</name>
         <version>1.0</version>
         <interface>
@@ -121,7 +121,7 @@
     </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.cas</name>
-        <version>1.0</version>
+        <version>1.0-1</version>
         <interface>
             <name>IMediaCasService</name>
             <instance>default</instance>
diff --git a/configstore/utils/ConfigStoreUtils.cpp b/configstore/utils/ConfigStoreUtils.cpp
index 5a1fb42..8cb61a9 100644
--- a/configstore/utils/ConfigStoreUtils.cpp
+++ b/configstore/utils/ConfigStoreUtils.cpp
@@ -23,12 +23,12 @@
 namespace hardware {
 namespace details {
 
-bool wouldLogInfo() {
-    return WOULD_LOG(INFO);
+bool wouldLogVerbose() {
+    return WOULD_LOG(VERBOSE);
 }
 
-void logAlwaysInfo(const std::string& message) {
-    LOG(INFO) << message;
+void logAlwaysVerbose(const std::string& message) {
+    LOG(VERBOSE) << message;
 }
 
 void logAlwaysError(const std::string& message) {
diff --git a/configstore/utils/include/configstore/Utils.h b/configstore/utils/include/configstore/Utils.h
index e04f57d..d65f41f 100644
--- a/configstore/utils/include/configstore/Utils.h
+++ b/configstore/utils/include/configstore/Utils.h
@@ -29,8 +29,8 @@
 namespace details {
 // Templated classes can use the below method
 // to avoid creating dependencies on liblog.
-bool wouldLogInfo();
-void logAlwaysInfo(const std::string& message);
+bool wouldLogVerbose();
+void logAlwaysVerbose(const std::string& message);
 void logAlwaysError(const std::string& message);
 }  // namespace details
 
@@ -92,7 +92,7 @@
     };
     static V cachedValue = getHelper();
 
-    if (wouldLogInfo()) {
+    if (wouldLogVerbose()) {
         std::string iname = __PRETTY_FUNCTION__;
         // func name starts with "func = " in __PRETTY_FUNCTION__
         auto pos = iname.find("func = ");
@@ -107,7 +107,7 @@
         oss << iname << " retrieved: "
             << (cachedValue.specified ? cachedValue.value : defValue)
             << (cachedValue.specified ? "" : " (default)");
-        logAlwaysInfo(oss.str());
+        logAlwaysVerbose(oss.str());
     }
 
     return cachedValue.specified ? cachedValue.value : defValue;
diff --git a/current.txt b/current.txt
index 3b87306..478cbc5 100644
--- a/current.txt
+++ b/current.txt
@@ -399,8 +399,9 @@
 417ab60fe1ef786778047e4486f3d868ebce570d91addd8fe4251515213072de android.hardware.neuralnetworks@1.0::types
 e22e8135d061d0e9c4c1a70c25c19fdba10f4d3cda9795ef25b6392fc520317c android.hardware.neuralnetworks@1.1::types
 1d4a5776614c08b5d794a5ec5ab04697260cbd4b3441d5935cd53ee71d19da02 android.hardware.radio@1.0::IRadioResponse
-271187e261b30c01a33011aea257c07a2d2f05b72943ebee89e973e997849973 android.hardware.radio@1.0::types
+ed9da80ec0c96991fd03f0a46107815d0e50f764656e49dba4980fa5c31d5bc3 android.hardware.radio@1.0::types
 1d19720d4fd38b1095f0f555a4bd92b3b12c9b1d0f560b0e9a474cd6dcc20db6 android.hardware.radio@1.2::IRadio
+cd1757867a5e3a3faa362e785239515870d1a3c9ce756c6f0cf0f0fd8aac2547 android.hardware.radio@1.2::types
 e78cf871f9fd1c072874e481e06e18e2681763cf2aa38c1fd777d53bab4eb69b android.hardware.sensors@1.0::types
 3d01e29e8129186f7567c4f9c8bee7480a0768e587b1be9b28adb0a6cbec6bf2 android.hardware.tv.cec@1.0::types
 1722ad002317b1fae1400de709e90f442d94ef22864e05f7a12af48c32e8edc8 android.hardware.usb@1.1::types
diff --git a/drm/1.2/IDrmPlugin.hal b/drm/1.2/IDrmPlugin.hal
index 3c21815..7d266f4 100644
--- a/drm/1.2/IDrmPlugin.hal
+++ b/drm/1.2/IDrmPlugin.hal
@@ -74,7 +74,7 @@
      * @return status the status of the call. Must be one of OK on
      *     success, BAD_VALUE if the license is not found or
      *     ERROR_DRM_INVALID_STATE if the HAL is in a state where the
-     *     KeySetIds can't be returned.
+     *     KeySetIds can't be removed.
      */
     removeOfflineLicense(KeySetId keySetId) generates (@1.0::Status status);
 
diff --git a/gnss/1.0/default/GnssBatching.cpp b/gnss/1.0/default/GnssBatching.cpp
index 02b38cb..f2e2e45 100644
--- a/gnss/1.0/default/GnssBatching.cpp
+++ b/gnss/1.0/default/GnssBatching.cpp
@@ -20,7 +20,7 @@
 #include <Gnss.h> // for wakelock consolidation
 #include <GnssUtils.h>
 
-#include <cutils/log.h>  // for ALOGE
+#include <android/log.h>  // for ALOGE
 #include <vector>
 
 namespace android {
diff --git a/gnss/1.0/default/ThreadCreationWrapper.h b/gnss/1.0/default/ThreadCreationWrapper.h
index df0a9e4..f401ce2 100644
--- a/gnss/1.0/default/ThreadCreationWrapper.h
+++ b/gnss/1.0/default/ThreadCreationWrapper.h
@@ -17,9 +17,9 @@
 #ifndef ANDROID_HARDWARE_GNSS_THREADCREATIONWRAPPER_H
 #define ANDROID_HARDWARE_GNSS_THREADCREATIONWRAPPER_H
 
+#include <log/log.h>
 #include <pthread.h>
 #include <vector>
-#include <cutils/log.h>
 
 typedef void (*threadEntryFunc)(void* ret);
 
diff --git a/gnss/2.0/IGnssMeasurementCallback.hal b/gnss/2.0/IGnssMeasurementCallback.hal
index 226934e..fc44465 100644
--- a/gnss/2.0/IGnssMeasurementCallback.hal
+++ b/gnss/2.0/IGnssMeasurementCallback.hal
@@ -23,48 +23,48 @@
 interface IGnssMeasurementCallback extends @1.1::IGnssMeasurementCallback {
     /**
      * Enumeration of available values for the GNSS Measurement's code type. Similar to the
-     * Attribute field described in Rinex 3.03, e.g., in Tables 4-10, and Table A2 at the Rinex 3.03
+     * Attribute field described in RINEX 3.03, e.g., in Tables 4-10, and Table A2 at the RINEX 3.03
      * Update 1 Document.
      */
     enum GnssMeasurementCodeType : uint8_t {
         /** GALILEO E1A, GALILEO E6A, IRNSS L5A, IRNSS SA. */
-        CODE_TYPE_A = 0,
+        A = 0,
 
         /** GALILEO E1B, GALILEO E6B, IRNSS L5B, IRNSS SB. */
-        CODE_TYPE_B = 1,
+        B = 1,
 
         /**
          *  GPS L1 C/A,  GPS L2 C/A, GLONASS G1 C/A, GLONASS G2 C/A, GALILEO E1C, GALILEO E6C, SBAS
          *  L1 C/A, QZSS L1 C/A, IRNSS L5C.
          */
-        CODE_TYPE_C = 2,
+        C = 2,
 
         /**
          * GPS L5 I, GLONASS G3 I, GALILEO E5a I, GALILEO E5b I, GALILEO E5a+b I, SBAS L5 I, QZSS L5
          * I, BDS B1 I, BDS B2 I, BDS B3 I.
          */
-        CODE_TYPE_I = 3,
+        I = 3,
 
         /** GPS L1C (P), GPS L2C (L), QZSS L1C (P), QZSS L2C (L), LEX(6) L. */
-        CODE_TYPE_L = 4,
+        L = 4,
 
         /** GPS L1M, GPS L2M. */
-        CODE_TYPE_M = 5,
+        M = 5,
 
         /** GPS L1P, GPS L2P, GLONASS G1P, GLONASS G2P. */
-        CODE_TYPE_P = 6,
+        P = 6,
 
         /**
          * GPS L5 Q, GLONASS G3 Q, GALILEO E5a Q, GALILEO E5b Q, GALILEO E5a+b Q, SBAS L5 Q, QZSS L5
          * Q, BDS B1 Q, BDS B2 Q, BDS B3 Q.
          */
-        CODE_TYPE_Q = 7,
+        Q = 7,
 
         /** GPS L1C (D), GPS L2C (M), QZSS L1C (D), QZSS L2C (M), LEX(6) S. */
-        CODE_TYPE_S = 8,
+        S = 8,
 
         /** GPS L1 Z-tracking, GPS L2 Z-tracking. */
-        CODE_TYPE_W = 9,
+        W = 9,
 
         /**
          * GPS L1C (D+P), GPS L2C (M+L), GPS L5 (I+Q), GLONASS G3 (I+Q), GALILEO E1 (B+C), GALILEO
@@ -72,16 +72,366 @@
          * L1C (D+P), QZSS L2C (M+L), QZSS L5 (I+Q), LEX(6) (S+L), BDS B1 (I+Q), BDS B2 (I+Q), BDS
          * B3 (I+Q), IRNSS L5 (B+C).
          */
-        CODE_TYPE_X = 10,
+        X = 10,
 
         /** GPS L1Y, GPS L2Y. */
-        CODE_TYPE_Y = 11,
+        Y = 11,
 
         /** GALILEO E1 (A+B+C), GALILEO E6 (A+B+C), QZSS L1-SAIF. */
-        CODE_TYPE_Z = 12,
+        Z = 12,
 
         /** GPS L1 codeless, GPS L2 codeless. */
-        CODE_TYPE_CODELESS = 13
+        N = 13,
+
+        /**
+         * Other code type that does not belong to any of the above code types.
+         *
+         * This code type is used in the case that the above code types do not cover all the code
+         * types introduced in a new version of RINEX standard. When this code type is set, the
+         * field GnssMeasurement.otherCodeTypeName must specify the new code type.
+         */
+        OTHER = 255
+    };
+
+    /**
+     * Flags indicating the GNSS measurement state.
+     *
+     * <p>The expected behavior here is for GNSS HAL to set all the flags that apply. For example,
+     * if the state for a satellite is only C/A code locked and bit synchronized, and there is still
+     * millisecond ambiguity, the state must be set as:
+     *
+     * STATE_CODE_LOCK | STATE_BIT_SYNC |  STATE_MSEC_AMBIGUOUS
+     *
+     * <p>If GNSS is still searching for a satellite, the corresponding state must be set to
+     * STATE_UNKNOWN(0).
+     *
+     * <p>In @2.0::IGnssMeasurementCallback.GnssMeasurement, v1_1.v1_0.receivedSvTimeInNs, the
+     * received satellite time, is relative to the beginning of the system week for all
+     * constellations except for Glonass where it is relative to the beginning of the Glonass system
+     * day.
+     *
+     * <p>The table below indicates the valid range of the received GNSS satellite time.  These
+     * ranges depend on the constellation and code being tracked and the state of the tracking
+     * algorithms given by the getState method. If the state flag is set, then the valid measurement
+     * range is zero to the value in the table. The state flag with the widest range indicates the
+     * range of the received GNSS satellite time value.
+     *
+     * <table>
+     *   <thead>
+     *     <tr>
+     *       <td />
+     *       <td colspan="3"><strong>GPS/QZSS</strong></td>
+     *       <td><strong>GLNS</strong></td>
+     *       <td colspan="2"><strong>BDS</strong></td>
+     *       <td colspan="3"><strong>GAL</strong></td>
+     *       <td><strong>SBAS</strong></td>
+     *     </tr>
+     *     <tr>
+     *       <td><strong>State Flag</strong></td>
+     *       <td><strong>L1 C/A</strong></td>
+     *       <td><strong>L5I</strong></td>
+     *       <td><strong>L5Q</strong></td>
+     *       <td><strong>L1OF</strong></td>
+     *       <td><strong>B1I (D1)</strong></td>
+     *       <td><strong>B1I &nbsp;(D2)</strong></td>
+     *       <td><strong>E1B</strong></td>
+     *       <td><strong>E1C</strong></td>
+     *       <td><strong>E5AQ</strong></td>
+     *       <td><strong>L1 C/A</strong></td>
+     *     </tr>
+     *   </thead>
+     *   <tbody>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_UNKNOWN</strong>
+     *       </td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *       <td>0</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_CODE_LOCK</strong>
+     *       </td>
+     *       <td>1 ms</td>
+     *       <td>1 ms</td>
+     *       <td>1 ms</td>
+     *       <td>1 ms</td>
+     *       <td>1 ms</td>
+     *       <td>1 ms</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>1 ms</td>
+     *       <td>1 ms</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_SYMBOL_SYNC</strong>
+     *       </td>
+     *       <td>20 ms (optional)</td>
+     *       <td>10 ms</td>
+     *       <td>1 ms (optional)</td>
+     *       <td>10 ms</td>
+     *       <td>20 ms (optional)</td>
+     *       <td>2 ms</td>
+     *       <td>4 ms (optional)</td>
+     *       <td>4 ms (optional)</td>
+     *       <td>1 ms (optional)</td>
+     *       <td>2 ms</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_BIT_SYNC</strong>
+     *       </td>
+     *       <td>20 ms</td>
+     *       <td>20 ms</td>
+     *       <td>1 ms (optional)</td>
+     *       <td>20 ms</td>
+     *       <td>20 ms</td>
+     *       <td>-</td>
+     *       <td>8 ms</td>
+     *       <td>-</td>
+     *       <td>1 ms (optional)</td>
+     *       <td>4 ms</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_SUBFRAME_SYNC</strong>
+     *       </td>
+     *       <td>6s</td>
+     *       <td>6s</td>
+     *       <td>-</td>
+     *       <td>2 s</td>
+     *       <td>6 s</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>100 ms</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_TOW_DECODED</strong>
+     *       </td>
+     *       <td colspan="2">1 week</td>
+     *       <td>-</td>
+     *       <td>1 day</td>
+     *       <td colspan="2">1 week</td>
+     *       <td colspan="2">1 week</td>
+     *       <td>-</td>
+     *       <td>1 week</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_TOW_KNOWN</strong>
+     *       </td>
+     *       <td colspan="3">1 week</td>
+     *       <td>1 day</td>
+     *       <td colspan="2">1 week</td>
+     *       <td colspan="3">1 week</td>
+     *       <td>1 week</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_GLO_STRING_SYNC</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>2 s</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_GLO_TOD_DECODED</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>1 day</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_GLO_TOD_KNOWN</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>1 day</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_BDS_D2_BIT_SYNC</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>2 ms</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_BDS_D2_SUBFRAME_SYNC</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>600 ms</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_GAL_E1BC_CODE_LOCK</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>4 ms</td>
+     *       <td>4 ms</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_GAL_E1C_2ND_CODE_LOCK</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>100 ms</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_2ND_CODE_LOCK</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>10 ms (optional)</td>
+     *       <td>20 ms</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>100 ms (optional)</td>
+     *       <td>100 ms</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_GAL_E1B_PAGE_SYNC</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>2 s</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *     </tr>
+     *     <tr>
+     *       <td>
+     *         <strong>STATE_SBAS_SYNC</strong>
+     *       </td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>-</td>
+     *       <td>1 s</td>
+     *     </tr>
+     *   </tbody>
+     * </table>
+     *
+     * <p>Note: TOW Known refers to the case where TOW is possibly not decoded over the air but has
+     * been determined from other sources. If TOW decoded is set then TOW Known must also be set.
+     *
+     * <p>Note well: if there is any ambiguity in integer millisecond, STATE_MSEC_AMBIGUOUS must be
+     * set accordingly, in the 'state' field.  This value must be populated if 'state' !=
+     * STATE_UNKNOWN.
+     *
+     * <p>Note on optional flags:
+     * <ul>
+     *     <li> For L1 C/A and B1I, STATE_SYMBOL_SYNC is optional since the symbol length is the
+     *     same as the bit length.
+     *     <li> For L5Q and E5aQ, STATE_BIT_SYNC and STATE_SYMBOL_SYNC are optional since they are
+     *     implied by STATE_CODE_LOCK.
+     *     <li> STATE_2ND_CODE_LOCK for L5I is optional since it is implied by STATE_SYMBOL_SYNC.
+     *     <li> STATE_2ND_CODE_LOCK for E1C is optional since it is implied by
+     *     STATE_GAL_E1C_2ND_CODE_LOCK.
+     *     <li> For E1B and E1C, STATE_SYMBOL_SYNC is optional, because it is implied by
+     *     STATE_GAL_E1BC_CODE_LOCK.
+     * </ul>
+     *
+     */
+    @export(name="", value_prefix="GNSS_MEASUREMENT_")
+    enum GnssMeasurementState : uint32_t {
+        STATE_UNKNOWN                = 0,
+        STATE_CODE_LOCK              = 1 << 0,
+        STATE_BIT_SYNC               = 1 << 1,
+        STATE_SUBFRAME_SYNC          = 1 << 2,
+        STATE_TOW_DECODED            = 1 << 3,
+        STATE_MSEC_AMBIGUOUS         = 1 << 4,
+        STATE_SYMBOL_SYNC            = 1 << 5,
+        STATE_GLO_STRING_SYNC        = 1 << 6,
+        STATE_GLO_TOD_DECODED        = 1 << 7,
+        STATE_BDS_D2_BIT_SYNC        = 1 << 8,
+        STATE_BDS_D2_SUBFRAME_SYNC   = 1 << 9,
+        STATE_GAL_E1BC_CODE_LOCK     = 1 << 10,
+        STATE_GAL_E1C_2ND_CODE_LOCK  = 1 << 11,
+        STATE_GAL_E1B_PAGE_SYNC      = 1 << 12,
+        STATE_SBAS_SYNC              = 1 << 13,
+        STATE_TOW_KNOWN              = 1 << 14,
+        STATE_GLO_TOD_KNOWN          = 1 << 15,
+        STATE_2ND_CODE_LOCK          = 1 << 16,
     };
 
     /**
@@ -96,6 +446,10 @@
          * quarter cycle offset as they do when transmitted from the satellites. If the measurement
          * is from a combination of the in-phase and quadrature phase components, then the alignment
          * of the phase measurement will be aligned to the in-phase component.
+         *
+         * In this version of the HAL, the field 'state' in the v1_1.v1_0 struct is deprecated, and
+         * is no longer used by the framework. The satellite sync state is instead reported in
+         * @2.0::IGnssMeasurementCallback.GnssMeasurement.state.
          */
         @1.1::IGnssMeasurementCallback.GnssMeasurement v1_1;
 
@@ -106,6 +460,27 @@
          * in-order to properly apply code specific corrections to the psuedorange measurements.
          */
         GnssMeasurementCodeType codeType;
+
+        /**
+         * The name of the code type when codeType is OTHER.
+         *
+         * This is used to specify the observation descriptor defined in GNSS Observation Data File
+         * Header Section Description in the RINEX standard (Version 3.XX). In RINEX Version 3.03,
+         * in Appendix Table A2 Attributes are listed as uppercase letters (for instance, "A" for
+         * "A channel"). In the future, if for instance a code "G" was added in the official RINEX
+         * standard, "G" could be specified here.
+         */
+        string otherCodeTypeName;
+
+        /**
+         * Per satellite sync state. It represents the current sync state for the associated
+         * satellite.
+         *
+         * Based on the sync state, the receivedSvTimeInNs field must be interpreted accordingly.
+         *
+         * This value is mandatory.
+         */
+        bitfield<GnssMeasurementState> state;
     };
 
     /**
diff --git a/gnss/2.0/default/GnssMeasurement.cpp b/gnss/2.0/default/GnssMeasurement.cpp
index dc23db3..0f707b4 100644
--- a/gnss/2.0/default/GnssMeasurement.cpp
+++ b/gnss/2.0/default/GnssMeasurement.cpp
@@ -26,7 +26,7 @@
 
 using GnssConstellationType = V1_0::GnssConstellationType;
 using GnssMeasurementFlags = V1_0::IGnssMeasurementCallback::GnssMeasurementFlags;
-using GnssMeasurementState = V1_0::IGnssMeasurementCallback::GnssMeasurementState;
+using GnssMeasurementState = V2_0::IGnssMeasurementCallback::GnssMeasurementState;
 
 sp<V2_0::IGnssMeasurementCallback> GnssMeasurement::sCallback = nullptr;
 
@@ -97,11 +97,6 @@
         .svid = (int16_t)6,
         .constellation = GnssConstellationType::GLONASS,
         .timeOffsetNs = 0.0,
-        .state = GnssMeasurementState::STATE_CODE_LOCK | GnssMeasurementState::STATE_BIT_SYNC |
-                 GnssMeasurementState::STATE_SUBFRAME_SYNC |
-                 GnssMeasurementState::STATE_TOW_DECODED |
-                 GnssMeasurementState::STATE_GLO_STRING_SYNC |
-                 GnssMeasurementState::STATE_GLO_TOD_DECODED,
         .receivedSvTimeInNs = 8195997131077,
         .receivedSvTimeUncertaintyInNs = 15,
         .cN0DbHz = 30.0,
@@ -116,8 +111,14 @@
             V1_0::IGnssMeasurementCallback::GnssMultipathIndicator::INDICATOR_UNKNOWN};
     V1_1::IGnssMeasurementCallback::GnssMeasurement measurement_1_1 = {.v1_0 = measurement_1_0};
     V2_0::IGnssMeasurementCallback::GnssMeasurement measurement_2_0 = {
-        .v1_1 = measurement_1_1,
-        .codeType = IGnssMeasurementCallback::GnssMeasurementCodeType::CODE_TYPE_C};
+            .v1_1 = measurement_1_1,
+            .codeType = IGnssMeasurementCallback::GnssMeasurementCodeType::C,
+            .otherCodeTypeName = "",
+            .state = GnssMeasurementState::STATE_CODE_LOCK | GnssMeasurementState::STATE_BIT_SYNC |
+                     GnssMeasurementState::STATE_SUBFRAME_SYNC |
+                     GnssMeasurementState::STATE_TOW_DECODED |
+                     GnssMeasurementState::STATE_GLO_STRING_SYNC |
+                     GnssMeasurementState::STATE_GLO_TOD_DECODED};
 
     hidl_vec<IGnssMeasurementCallback::GnssMeasurement> measurements(1);
     measurements[0] = measurement_2_0;
diff --git a/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp b/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp
index 552cf1b..48f2be8 100644
--- a/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp
+++ b/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp
@@ -185,10 +185,16 @@
     ASSERT_TRUE(last_measurement_.measurements.size() > 0);
     for (auto measurement : last_measurement_.measurements) {
         ASSERT_TRUE(
-            (int)measurement.codeType >=
-                (int)IGnssMeasurementCallback_2_0::GnssMeasurementCodeType::CODE_TYPE_A &&
-            (int)measurement.codeType <=
-                (int)IGnssMeasurementCallback_2_0::GnssMeasurementCodeType::CODE_TYPE_CODELESS);
+                ((int)measurement.codeType >=
+                                (int)IGnssMeasurementCallback_2_0::GnssMeasurementCodeType::A &&
+                        (int)measurement.codeType <=
+                                (int)IGnssMeasurementCallback_2_0::GnssMeasurementCodeType::N) ||
+                (int)measurement.codeType ==
+                        (int)IGnssMeasurementCallback_2_0::GnssMeasurementCodeType::OTHER);
+        if ((int)measurement.codeType ==
+                (int)IGnssMeasurementCallback_2_0::GnssMeasurementCodeType::OTHER) {
+            ASSERT_NE(measurement.otherCodeTypeName, "");
+        }
     }
 
     iGnssMeasurement->close();
diff --git a/gnss/measurement_corrections/1.0/types.hal b/gnss/measurement_corrections/1.0/types.hal
index 5f20734..edf26bf 100644
--- a/gnss/measurement_corrections/1.0/types.hal
+++ b/gnss/measurement_corrections/1.0/types.hal
@@ -79,18 +79,35 @@
  * toaGpsNanosecondsOfWeek
  */
 struct MeasurementCorrections {
-    /** Represents latitude in degrees. */
+    /** Represents latitude in degrees at which the corrections are computed.. */
     double latitudeDegrees;
 
-    /** Represents longitude in degrees. */
+    /** Represents longitude in degrees at which the corrections are computed.. */
     double longitudeDegrees;
 
     /**
-     * Represents altitude in meters above the WGS 84 reference ellipsoid.
+     * Represents altitude in meters above the WGS 84 reference ellipsoid at which the corrections
+     * are computed.
      */
     double altitudeMeters;
 
-    /** Time Of Applicability, GPS time of week */
+    /**
+     * Represents the horizontal uncertainty (68% confidence) in meters on the device position at
+     * which the corrections are provided.
+     *
+     * This value is useful for example to judge how accurate the provided corrections are.
+     */
+    double horizontalPositionUncertaintyMeters;
+
+    /**
+     * Represents the vertical uncertainty (68% confidence) in meters on the device position at
+     * which the corrections are provided.
+     *
+     * This value is useful for example to judge how accurate the provided corrections are.
+     */
+    double verticalPositionUncertaintyMeters;
+
+    /** Time Of Applicability, GPS time of week in nanoseconds. */
     uint64_t toaGpsNanosecondsOfWeek;
 
     /**
diff --git a/health/storage/1.0/default/Storage.cpp b/health/storage/1.0/default/Storage.cpp
index 2e53c50..561deaa 100644
--- a/health/storage/1.0/default/Storage.cpp
+++ b/health/storage/1.0/default/Storage.cpp
@@ -36,27 +36,20 @@
 using base::Trim;
 using base::WriteStringToFd;
 using base::WriteStringToFile;
+using fs_mgr::Fstab;
+using fs_mgr::ReadDefaultFstab;
 
 std::string getGarbageCollectPath() {
-    std::unique_ptr<fstab, decltype(&fs_mgr_free_fstab)> fstab(fs_mgr_read_fstab_default(),
-                                                               fs_mgr_free_fstab);
-    struct fstab_rec* rec = NULL;
+    Fstab fstab;
+    ReadDefaultFstab(&fstab);
 
-    for (int i = 0; i < fstab->num_entries; i++) {
-        if (fs_mgr_has_sysfs_path(&fstab->recs[i])) {
-            rec = &fstab->recs[i];
-            break;
+    for (const auto& entry : fstab) {
+        if (!entry.sysfs_path.empty()) {
+            return entry.sysfs_path + "/manual_gc";
         }
     }
-    if (!rec) {
-        return "";
-    }
 
-    std::string path;
-    path.append(rec->sysfs_path);
-    path = path + "/manual_gc";
-
-    return path;
+    return "";
 }
 
 Return<void> Storage::garbageCollect(uint64_t timeoutSeconds,
diff --git a/keymaster/3.0/default/KeymasterDevice.cpp b/keymaster/3.0/default/KeymasterDevice.cpp
index 6fabbde..7d3e6f2 100644
--- a/keymaster/3.0/default/KeymasterDevice.cpp
+++ b/keymaster/3.0/default/KeymasterDevice.cpp
@@ -19,7 +19,7 @@
 
 #include "KeymasterDevice.h"
 
-#include <cutils/log.h>
+#include <log/log.h>
 
 #include <AndroidKeymaster3Device.h>
 #include <hardware/keymaster0.h>
diff --git a/media/c2/1.0/Android.bp b/media/c2/1.0/Android.bp
index c37c22b..56c78b2 100644
--- a/media/c2/1.0/Android.bp
+++ b/media/c2/1.0/Android.bp
@@ -13,6 +13,7 @@
         "IComponentListener.hal",
         "IComponentStore.hal",
         "IConfigurable.hal",
+        "IInputSink.hal",
         "IInputSurface.hal",
         "IInputSurfaceConnection.hal",
     ],
diff --git a/media/c2/1.0/IComponent.hal b/media/c2/1.0/IComponent.hal
index deb9255..7fd551f 100644
--- a/media/c2/1.0/IComponent.hal
+++ b/media/c2/1.0/IComponent.hal
@@ -22,13 +22,19 @@
 import IConfigurable;
 import IComponentInterface;
 import IComponentListener;
+import IInputSurface;
+import IInputSurfaceConnection;
 
 /**
- * Interface for a Codec 2.0 component corresponding to API level 1.0 or
- * below. Components have two states: stopped and running. The running
- * state has three sub-states: executing, tripped and error.
+ * Interface for a Codec2 component corresponding to API level 1.0 or below.
+ * Components have two states: stopped and running. The running state has three
+ * sub-states: executing, tripped and error.
+ *
+ * All methods in `IComponent` must not block. If a method call cannot be
+ * completed in a timely manner, it must return `TIMED_OUT` in the return
+ * status.
  */
-interface IComponent extends IComponentInterface {
+interface IComponent {
 
     // METHODS AVAILABLE WHEN RUNNING
     // =========================================================================
@@ -38,44 +44,42 @@
      *
      * This method must be supported in running (including tripped) states.
      *
-     * This method must return within 1ms
+     * It is acceptable for this method to return `OK` and return an error value
+     * using the IComponentListener::onWorkDone() callback.
      *
-     * It is acceptable for this method to return OK and return an error value
-     * using the onWorkDone() callback.
-     *
-     * @param workBundle WorkBundle object containing Works to queue to the
-     * component.
+     * @param workBundle `WorkBundle` object containing a list of `Work` objects
+     *     to queue to the component.
      * @return status Status of the call, which may be
-     *   - OK        - Works in \p workBundle were successfully queued.
-     *   - BAD_INDEX - Some component(s) in some Work do(es) not exist.
-     *   - CANNOT_DO - The components are not tunneled.
-     *   - NO_MEMORY - Not enough memory to queue \p workBundle.
-     *   - CORRUPTED - Some unknown error prevented queuing the Works.
-     *                 (unexpected).
+     *   - `OK`        - Works in @p workBundle were successfully queued.
+     *   - `BAD_INDEX` - Some component id in some `Worklet` is not valid.
+     *   - `CANNOT_DO` - The components are not tunneled but some `Work` object
+     *                   contains tunneling information.
+     *   - `NO_MEMORY` - Not enough memory to queue @p workBundle.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     queue(WorkBundle workBundle) generates (Status status);
 
     /**
-     * Discards and abandons any pending work for the component.
+     * Discards and abandons any pending `Work` items for the component.
      *
      * This method must be supported in running (including tripped) states.
      *
-     * This method must return within 5ms.
+     * `Work` that could be immediately abandoned/discarded must be returned in
+     * @p flushedWorkBundle. The order in which queued `Work` items are
+     * discarded can be arbitrary.
      *
-     * Work that could be immediately abandoned/discarded must be returned in
-     * \p flushedWorks; this can be done in an arbitrary order.
-     *
-     * Work that could not be abandoned or discarded immediately must be marked
-     * to be discarded at the earliest opportunity, and must be returned via
-     * the onWorkDone() callback. This must be completed within 500ms.
+     * `Work` that could not be abandoned or discarded immediately must be
+     * marked to be discarded at the earliest opportunity, and must be returned
+     * via IComponentListener::onWorkDone(). This must be completed within
+     * 500ms.
      *
      * @return status Status of the call, which may be
-     *   - OK        - The component has been successfully flushed.
-     *   - TIMED_OUT - The flush could not be completed within the time limit.
-     *                 (unexpected)
-     *   - CORRUPTED - Some unknown error prevented flushing from
-     *                 completion. (unexpected)
-     * @return flushedWorkBundle WorkBundle object containing flushed Works.
+     *   - `OK`        - The component has been successfully flushed.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return flushedWorkBundle `WorkBundle` object containing flushed `Work`
+     *     items.
      */
     flush(
         ) generates (
@@ -87,42 +91,39 @@
      * Drains the component, and optionally downstream components. This is a
      * signalling method; as such it does not wait for any work completion.
      *
-     * Marks last work item as "drain-till-here", so component is notified not
-     * to wait for further work before it processes work already queued. This
-     * method can also be used to set the end-of-stream flag after work has been
-     * queued. Client can continue to queue further work immediately after this
-     * method returns.
+     * The last `Work` item is marked as "drain-till-here", so the component is
+     * notified not to wait for further `Work` before it processes what is
+     * already queued. This method can also be used to set the end-of-stream
+     * flag after `Work` has been queued. Client can continue to queue further
+     * `Work` immediately after this method returns.
      *
      * This method must be supported in running (including tripped) states.
      *
-     * This method must return within 1ms.
-     *
-     * Work that is completed must be returned via the onWorkDone() callback.
+     * `Work` that is completed must be returned via
+     * IComponentListener::onWorkDone().
      *
      * @param withEos Whether to drain the component with marking end-of-stream.
      * @return status Status of the call, which may be
-     *   - OK        - The drain request has been successfully recorded.
-     *   - TIMED_OUT - The flush could not be completed within the time limit.
-     *                 (unexpected)
-     *   - CORRUPTED - Some unknown error prevented flushing from completion.
-     *                 (unexpected)
+     *   - `OK`        - The drain request has been successfully recorded.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     drain(bool withEos) generates (Status status);
 
     /**
      * Starts using a surface for output.
      *
-     * @param blockPoolId The id of the BlockPool to be associated with the
-     * output surface.
-     * @param surface A surface to use for codec output.
+     * This method must not block.
+     *
+     * @param blockPoolId Id of the `C2BlockPool` to be associated with the
+     *     output surface.
+     * @param surface Output surface.
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - CANNOT_DO - The component does not support an output surface.
-     *   - REFUSED   - The output surface cannot be accessed.
-     *   - TIMED_OUT - The component could not be connected within the time
-     *                 limit. (unexpected)
-     *   - CORRUPTED - Some unknown error prevented connecting the component.
-     *                 (unexpected)
+     *   - `OK`        - The operation completed successfully.
+     *   - `CANNOT_DO` - The component does not support an output surface.
+     *   - `REFUSED`   - The output surface cannot be accessed.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     setOutputSurface(
             uint64_t blockPoolId,
@@ -132,65 +133,101 @@
         );
 
     /**
-     * Starts using a persistent OMX input surface for a component.
+     * Starts using an input surface.
      *
      * The component must be in running state.
      *
-     * @param producer Producer component of an OMX persistent input surface.
-     * @param source Source component of an OMX persistent input surface.
+     * @param inputSurface Input surface to connect to.
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - CANNOT_DO - The component does not support an input surface.
-     *   - BAD_STATE - Component is not in running state.
-     *   - DUPLICATE - The component is already connected to an input surface.
-     *   - REFUSED   - The input surface is already in use.
-     *   - NO_MEMORY - Not enough memory to start the component.
-     *   - TIMED_OUT - The component could not be connected within the time
-     *                 limit. (unexpected)
-     *   - CORRUPTED - Some unknown error prevented connecting the component.
-     *                 (unexpected)
+     *   - `OK`        - The operation completed successfully.
+     *   - `CANNOT_DO` - The component does not support an input surface.
+     *   - `BAD_STATE` - The component is not in running state.
+     *   - `DUPLICATE` - The component is already connected to an input surface.
+     *   - `REFUSED`   - The input surface is already in use.
+     *   - `NO_MEMORY` - Not enough memory to start the component.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return connection `IInputSurfaceConnection` object, which can be used to
+     *     query and configure properties of the connection. This cannot be
+     *     null.
+     */
+    connectToInputSurface(
+            IInputSurface inputSurface
+        ) generates (
+            Status status,
+            IInputSurfaceConnection connection
+        );
+
+    /**
+     * Starts using an OMX input surface.
+     *
+     * The component must be in running state.
+     *
+     * This method is similar to connectToInputSurface(), but it takes an OMX
+     * input surface (as a pair of `IGraphicBufferProducer` and
+     * `IGraphicBufferSource`) instead of Codec2's own `IInputSurface`.
+     *
+     * @param producer Producer component of an OMX input surface.
+     * @param source Source component of an OMX input surface.
+     * @return status Status of the call, which may be
+     *   - `OK`        - The operation completed successfully.
+     *   - `CANNOT_DO` - The component does not support an OMX input surface.
+     *   - `BAD_STATE` - The component is not in running state.
+     *   - `DUPLICATE` - The component is already connected to an input surface.
+     *   - `REFUSED`   - The input surface is already in use.
+     *   - `NO_MEMORY` - Not enough memory to start the component.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return connection `IInputSurfaceConnection` object, which can be used to
+     *     query and configure properties of the connection. This cannot be
+     *     null.
      */
     connectToOmxInputSurface(
             IGraphicBufferProducer producer,
             IGraphicBufferSource source
-        ) generates (Status status);
+        ) generates (
+            Status status,
+            IInputSurfaceConnection connection
+        );
 
     /**
      * Stops using an input surface.
      *
-     * This call is used for both Codec 2.0 and OMX input surfaces.
-     *
      * The component must be in running state.
      *
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - CANNOT_DO - The component does not support an input surface.
-     *   - BAD_STATE - Component is not in running state.
-     *   - NOT_FOUND - The component is not connected to an input surface.
-     *   - TIMED_OUT - The component could not be connected within the time
-     *                 limit. (unexpected)
-     *   - CORRUPTED - Some unknown error prevented connecting the component.
-     *                 (unexpected)
+     *   - `OK`        - The operation completed successfully.
+     *   - `CANNOT_DO` - The component does not support an input surface.
+     *   - `BAD_STATE` - The component is not in running state.
+     *   - `NOT_FOUND` - The component is not connected to an input surface.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     disconnectFromInputSurface() generates (Status Status);
 
     /**
-     * Creates a local block pool backed by the given allocator and returns its
-     * identifier.
+     * Creates a local `C2BlockPool` backed by the given allocator and returns
+     * its id.
      *
-     * This call must return within 100 msec.
+     * The returned @p blockPoolId is the only way the client can refer to a
+     * `C2BlockPool` object in the component. The id can be passed to
+     * setOutputSurface() or used in some C2Param objects later.
      *
-     * @param allocatorId The Codec 2.0 allocator ID
+     * The created `C2BlockPool` object can be destroyed by calling
+     * destroyBlockPool(), reset() or release(). reset() and release() must
+     * destroy all `C2BlockPool` objects that have been created.
+     *
+     * @param allocatorId Id of a `C2Allocator`.
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - NO_MEMORY - Not enough memory to create the pool.
-     *   - BAD_VALUE - Invalid allocator.
-     *   - TIMED_OUT - The pool could not be created within the time
-     *                 limit. (unexpected)
-     *   - CORRUPTED - Some unknown error prevented creating the pool.
-     *                 (unexpected)
-     * @return blockPoolId The Codec 2.0 blockpool ID for the created pool.
-     * @return configurable Configuration interface for the created pool.
+     *   - `OK`        - The operation completed successfully.
+     *   - `NO_MEMORY` - Not enough memory to create the pool.
+     *   - `BAD_VALUE` - @p allocatorId is not recognized.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return blockPoolId Id of the created C2BlockPool object. This may be
+     *     used in setOutputSurface() if the allocator
+     * @return configurable Configuration interface for the created pool. This
+     *     must not be null.
      */
     createBlockPool(uint32_t allocatorId) generates (
         Status status,
@@ -201,17 +238,13 @@
     /**
      * Destroys a local block pool previously created by createBlockPool().
      *
-     * This call must return within 100 msec.
-     *
-     * @param blockPoolId The block pool id previously returned by
+     * @param blockPoolId Id of a `C2BlockPool` that was previously returned by
      *      createBlockPool().
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - NOT_FOUND - The supplied blockPoolId is not valid.
-     *   - TIMED_OUT - The pool could not be destroyedwithin the time limit.
-     *                 (unexpected)
-     *   - CORRUPTED - Some unknown error prevented destruction of the pool.
-     *                 (unexpected)
+     *   - `OK`        - The operation completed successfully.
+     *   - `NOT_FOUND` - The supplied blockPoolId is not valid.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     destroyBlockPool(uint64_t blockPoolId) generates (Status status);
 
@@ -223,28 +256,24 @@
      *
      * This method must be supported in stopped state as well as tripped state.
      *
-     * If the return value is OK, the component must be in the running state.
-     * If the return value is BAD_STATE or DUPLICATE, no state change is
-     * expected as a response to this call.
-     * Otherwise, the component must be in the stopped state.
+     * If the return value is `OK`, the component must be in the running state.
+     * If the return value is `BAD_STATE` or `DUPLICATE`, no state change is
+     * expected as a response to this call. Otherwise, the component must be in
+     * the stopped state.
      *
      * If a component is in the tripped state and start() is called while the
-     * component configuration still results in a trip, start must succeed and
-     * a new onTripped callback must be used to communicate the configuration
+     * component configuration still results in a trip, start() must succeed and
+     * a new onTripped() callback must be used to communicate the configuration
      * conflict that results in the new trip.
      *
-     * This method must return within 500ms.
-     *
      * @return status Status of the call, which may be
-     *   - OK        - The component has started successfully.
-     *   - BAD_STATE - Component is not in stopped or tripped state.
-     *   - DUPLICATE - When called during another start call from another
-     *                 thread.
-     *   - NO_MEMORY - Not enough memory to start the component.
-     *   - TIMED_OUT - The component could not be started within the time limit.
-     *                 (unexpected)
-     *   - CORRUPTED - Some unknown error prevented starting the component.
-     *                 (unexpected)
+     *   - `OK`        - The component has started successfully.
+     *   - `BAD_STATE` - Component is not in stopped or tripped state.
+     *   - `DUPLICATE` - When called during another start call from another
+     *                   thread.
+     *   - `NO_MEMORY` - Not enough memory to start the component.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     start() generates (Status status);
 
@@ -255,22 +284,22 @@
      *
      * This method must return withing 500ms.
      *
-     * Upon this call, all pending work must be abandoned.
-     * If the return value is BAD_STATE or DUPLICATE, no state change is
-     * expected as a response to this call.
-     * For all other return values, the component must be in the stopped state.
+     * Upon this call, all pending `Work` must be abandoned.
+     *
+     * If the return value is `BAD_STATE` or `DUPLICATE`, no state change is
+     * expected as a response to this call. For all other return values, the
+     * component must be in the stopped state.
      *
      * This does not alter any settings and tunings that may have resulted in a
      * tripped state.
      *
      * @return status Status of the call, which may be
-     *   - OK        - The component has stopped successfully.
-     *   - BAD_STATE - Component is not in running state.
-     *   - DUPLICATE - When called during another stop call from another thread.
-     *   - TIMED_OUT - The component could not be stopped within the time limit.
-     *                 (unexpected)
-     *   - CORRUPTED - Some unknown error prevented starting the component.
-     *                 (unexpected)
+     *   - `OK`        - The component has stopped successfully.
+     *   - `BAD_STATE` - Component is not in running state.
+     *   - `DUPLICATE` - When called during another stop call from another
+     *                   thread.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     stop() generates (Status status);
 
@@ -284,25 +313,24 @@
      *
      * This method must return withing 500ms.
      *
-     * After this call returns all work must have been abandoned, all references
-     * must have been released.
+     * When this call returns, if @p status is `OK`, all `Work` items must
+     * have been abandoned, and all resources (including `C2BlockPool` objects
+     * previously created by createBlockPool()) must have been released.
      *
-     * If the return value is BAD_STATE or DUPLICATE, no state change is
-     * expected as a response to this call.
-     * For all other return values, the component shall be in the stopped state.
+     * If the return value is `BAD_STATE` or `DUPLICATE`, no state change is
+     * expected as a response to this call. For all other return values, the
+     * component must be in the stopped state.
      *
-     * This brings settings back to their default - "guaranteeing" no tripped
+     * This brings settings back to their default, "guaranteeing" no tripped
      * state.
      *
      * @return status Status of the call, which may be
-     *   - OK        - The component has been reset.
-     *   - BAD_STATE - Component is in released state.
-     *   - DUPLICATE - When called during another reset call from another
-     *                 thread.
-     *   - TIMED_OUT - The component could not be reset within the time limit.
-     *                 (unexpected)
-     *   - CORRUPTED - Some unknown error prevented resetting the component.
-     *                 (unexpected)
+     *   - `OK`        - The component has been reset.
+     *   - `BAD_STATE` - Component is in released state.
+     *   - `DUPLICATE` - When called during another reset call from another
+     *                   thread.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     reset() generates (Status status);
 
@@ -311,19 +339,27 @@
      *
      * This method must be supported in stopped state.
      *
-     * This method must return withing 500ms. Upon return all references must
-     * be abandoned.
+     * This method destroys the component. Upon return, if @p status is `OK` or
+     * `DUPLICATE`, all resources must have been released.
      *
      * @return status Status of the call, which may be
-     *   - OK        - The component has been released.
-     *   - BAD_STATE - The component is running.
-     *   - DUPLICATE - The component is already released.
-     *   - TIMED_OUT - The component could not be released within the time
-     *                 limit. (unexpected)
-     *   - CORRUPTED - Some unknown error prevented releasing the component.
-     *                 (unexpected)
+     *   - `OK`        - The component has been released.
+     *   - `BAD_STATE` - The component is running.
+     *   - `DUPLICATE` - The component is already released.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     release() generates (Status status);
 
+    /**
+     * Returns the @ref IComponentInterface instance associated to this
+     * component.
+     *
+     * An @p IConfigurable instance for the component can be obtained by calling
+     * IComponentInterface::getConfigurable() on the returned @p intf.
+     *
+     * @return intf `IComponentInterface` instance. This must not be null.
+     */
+    getInterface() generates (IComponentInterface intf);
 };
 
diff --git a/media/c2/1.0/IComponentInterface.hal b/media/c2/1.0/IComponentInterface.hal
index d4b30b1..a007d02 100644
--- a/media/c2/1.0/IComponentInterface.hal
+++ b/media/c2/1.0/IComponentInterface.hal
@@ -19,21 +19,20 @@
 import IConfigurable;
 
 /**
- * Component interface object. This object contains all of the configuration of
+ * Component interface object. This object contains all of the configurations of
  * a potential or actual component. It can be created and used independently of
- * an actual Codec 2.0 component instance to query support and parameters for
- * various component settings and configurations for a potential component.
- * Actual components also expose this interface.
+ * an actual Codec2 component to query supported parameters for various
+ * component settings, and configurations for a potential component.
+ *
+ * An actual component exposes this interface via IComponent::getInterface().
  */
-interface IComponentInterface extends IConfigurable {
-    /*
-     * There are no additional methods to IConfigurable interface.
+interface IComponentInterface {
+    /**
+     * Returns the @ref IConfigurable instance associated to this component
+     * interface.
      *
-     * Component interfaces have no states.
-     *
-     * The name of the component or component interface object is a unique name
-     * for that component or component interface 'class'; however, multiple
-     * instances of that component must have the same name.
+     * @return configurable `IConfigurable` instance. This must not be null.
      */
+    getConfigurable() generates (IConfigurable configurable);
 };
 
diff --git a/media/c2/1.0/IComponentListener.hal b/media/c2/1.0/IComponentListener.hal
index eb71ecb..70d5fb2 100644
--- a/media/c2/1.0/IComponentListener.hal
+++ b/media/c2/1.0/IComponentListener.hal
@@ -17,54 +17,112 @@
 package android.hardware.media.c2@1.0;
 
 /**
- * This callback interface is used for handling notifications from IComponent.
+ * Callback interface for handling notifications from @ref IComponent.
  */
 interface IComponentListener {
 
     /**
-     * Notify the listener that some works have been completed.
+     * Notify the listener that some `Work` items have been completed.
+     *
+     * All the input buffers in the returned `Work` objects must not be used by
+     * the component after onWorkDone() is called.
+     *
+     * @param workBundle List of completed `Work` objects.
      */
     oneway onWorkDone(WorkBundle workBundle);
 
     /**
      * Notify the listener that the component is tripped.
+     *
+     * @param settingResults List of failures.
      */
     oneway onTripped(vec<SettingResult> settingResults);
 
     /**
      * Notify the listener of an error.
      *
-     * @param status Error type. \p status may be `OK`, which means that an
-     *     error has occurred, but the error type is unknown.
-     * @param errorCode Additional error code. The framework may not recognize
-     *     this.
+     * @param status Error type. @p status may be `OK`, which means that an
+     *     error has occurred, but the error type does not fit into the type
+     *     `Status`. In this case, additional information is provided by
+     *     @p errorCode.
+     * @param errorCode Additional error information. The framework may not
+     *     recognize the meaning of this value.
      */
     oneway onError(Status status, uint32_t errorCode);
 
     /**
-     * Information about rendering of a frame.
+     * Information about rendering of a frame to a `Surface`.
      */
     struct RenderedFrame {
         /**
-         * Id of the buffer queue containing the rendered buffer.
+         * Id of the `BufferQueue` containing the rendered buffer.
+         *
+         * This value must have been obtained by an earlier call to
+         * IGraphicBufferProducer::getUniqueId().
          */
         uint64_t bufferQueueId;
         /**
          * Id of the slot of the rendered buffer.
+         *
+         * This value must have been obtained by an earlier call to
+         * IGraphicBufferProducer::dequeueBuffer() or
+         * IGraphicBufferProducer::attachBuffer().
          */
         int32_t slotId;
         /**
-         * Timestamp of the rendering (consistent with timestamps in
-         * the associated BufferQueue).
+         * Timestamp the rendering happened.
+         *
+         * The reference point for the timestamp is determined by the
+         * `BufferQueue` that performed the rendering.
          */
         int64_t timestampNs;
     };
 
     /**
-     * Notify the listener that frames are rendered.
+     * Notify the listener that frames have been rendered.
      *
-     * @param renderedFrames List of information about renderings of frames.
+     * @param renderedFrames List of @ref RenderedFrame objects.
      */
     oneway onFramesRendered(vec<RenderedFrame> renderedFrames);
+
+    /**
+     * Identifying information for an input buffer previously queued to the
+     * component via IComponent::queue().
+     */
+    struct InputBuffer {
+        /**
+         * This value comes from `Work::input.ordinal.frameIndex` in a `Work`
+         * object that was previously queued.
+         */
+        uint64_t frameIndex;
+        /**
+         * This value is an index into `Work::input.buffers` (which is an array)
+         * in a `Work` object that was previously queued.
+         */
+        uint32_t arrayIndex;
+    };
+
+    /**
+     * Notify the listener that some input buffers are no longer needed by the
+     * component, and hence can be released or reused by the client.
+     *
+     * Input buffers that are contained in a `Work` object returned by an
+     * earlier onWorkDone() call are assumed released, so they must not appear
+     * in any onInputBuffersReleased() calls. That means
+     * onInputBuffersReleased() must only report input buffers that are released
+     * before the output in the same `Work` item is produced. However, it is
+     * possible for an input buffer to be returned by onWorkDone() after it has
+     * been reported by onInputBuffersReleased().
+     *
+     * @note onWorkDone() and onInputBuffersReleased() both notify the client
+     * that input buffers are no longer needed. However, in order to minimize
+     * IPC calls, onInputBuffersReleased() should be called only when
+     * onWorkDone() cannot be called, e.g., the component needs more input
+     * before an output can be produced.
+     *
+     * @param inputBuffers List of `InputBuffer` objects, identifying input
+     * buffers that are no longer needed by the component.
+     */
+    oneway onInputBuffersReleased(vec<InputBuffer> inputBuffers);
 };
 
diff --git a/media/c2/1.0/IComponentStore.hal b/media/c2/1.0/IComponentStore.hal
index 4bfa170..2aa6a70 100644
--- a/media/c2/1.0/IComponentStore.hal
+++ b/media/c2/1.0/IComponentStore.hal
@@ -23,27 +23,33 @@
 import IConfigurable;
 import IInputSurface;
 
-interface IComponentStore extends IConfigurable {
+/**
+ * Entry point for Codec2 HAL.
+ *
+ * All methods in `IComponentStore` must not block. If a method call cannot be
+ * completed in a timely manner, it must return `TIMED_OUT` in the return
+ * status. The only exceptions are getPoolClientManager() and getConfigurable(),
+ * which must always return immediately.
+ */
+interface IComponentStore {
 
     /**
      * Creates a component by name.
      *
-     * This method must return within 100ms.
-     *
-     * @param name Name of the component to create. This should match one of the
+     * @param name Name of the component to create. This must match one of the
      *     names returned by listComponents().
-     * @param listener The component listener to use for the component.
-     * @param pool The buffer pool client manager of the component listener.
-     *     This must be null if the listener process does not own a buffer pool.
+     * @param listener Callback receiver.
+     * @param pool `IClientManager` object of the BufferPool in the client
+     *     process. This may be null if the client does not own a BufferPool.
      * @return status Status of the call, which may be
-     *   - OK        - The component was created successfully.
-     *   - NOT_FOUND - There is no component with the given name.
-     *   - NO_MEMORY - Not enough memory to create the component.
-     *   - TIMED_OUT - The component could not be created within the time limit.
-     *                 (unexpected)
-     *   - CORRUPTED - Some unknown error prevented the creation of the
-     *                 component. (unexpected)
-     * @return comp The created component if `Status = OK`.
+     *   - `OK`        - The component was created successfully.
+     *   - `NOT_FOUND` - There is no component with the given name.
+     *   - `NO_MEMORY` - Not enough memory to create the component.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return comp The created component if @p status is `OK`.
+     *
+     * @sa IComponentListener.
      */
     createComponent(
             string name,
@@ -57,19 +63,15 @@
     /**
      * Creates a component interface by name.
      *
-     * This method must return within 100ms.
-     *
      * @param name Name of the component interface to create. This should match
      *     one of the names returned by listComponents().
      * @return status Status of the call, which may be
-     *   - OK        - The component interface was created successfully.
-     *   - NOT_FOUND - There is no component interface with the given name.
-     *   - NO_MEMORY - Not enough memory to create the component interface.
-     *   - TIMED_OUT - The component interface could not be created within the
-     *                 time limit. (unexpected)
-     *   - CORRUPTED - Some unknown error prevented the creation of the
-     *                 component interface. (unexpected)
-     * @return compIntf The created component interface if `Status = OK`.
+     *   - `OK`        - The component interface was created successfully.
+     *   - `NOT_FOUND` - There is no component interface with the given name.
+     *   - `NO_MEMORY` - Not enough memory to create the component interface.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return compIntf The created component interface if @p status is `OK`.
      */
     createInterface(
             string name
@@ -83,57 +85,49 @@
      */
     struct ComponentTraits {
         /**
-         * Name of the component.
+         * Name of the component. This must be unique for each component.
+         *
+         * This name is use to identify the component to create in
+         * createComponent() and createComponentInterface().
          */
         string name;
 
         enum Domain : uint32_t {
-            AUDIO,
+            OTHER = 0,
             VIDEO,
-            OTHER = 0xffffffff,
+            AUDIO,
+            IMAGE,
         };
         /**
-         * Component domain. The framework may not recognize `OTHER`.
+         * Component domain.
          */
         Domain domain;
-        /**
-         * If #domain is `OTHER`, #domainOther can be used to provide additional
-         * information. Otherwise, #domainOther is ignored. The framework may
-         * not inspect this value.
-         */
-        uint32_t domainOther;
 
         enum Kind : uint32_t {
+            OTHER = 0,
             DECODER,
             ENCODER,
-            OTHER = 0xffffffff,
         };
         /**
-         * Component kind. The framework may not recognize `OTHER`.
+         * Component kind.
          */
         Kind kind;
-        /**
-         * If #kind is `OTHER`, #kindOther can be used to provide additional
-         * information. Otherwise, #kindOther is ignored. The framework may not
-         * inspect this value.
-         */
-        uint32_t kindOther;
 
         /**
-         * Rank used by MediaCodecList to determine component ordering. Lower
+         * Rank used by `MediaCodecList` to determine component ordering. Lower
          * value means higher priority.
          */
         uint32_t rank;
 
         /**
-         * Media type.
+         * MIME type.
          */
         string mediaType;
 
         /**
          * Aliases for component name for backward compatibility.
          *
-         * \note Multiple components can have the same alias (but not the same
+         * Multiple components can have the same alias (but not the same
          * component name) as long as their media types differ.
          */
         vec<string> aliases;
@@ -142,36 +136,51 @@
     /**
      * Returns the list of components supported by this component store.
      *
-     * This method must return within 500ms.
-     *
-     * @return traits List of component traits for all components supported by this store in no
-     * particular order.
+     * @return status Status of the call, which may be
+     *   - `OK`        - The operation was successful.
+     *   - `NO_MEMORY` - Not enough memory to complete this method.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return traits List of component traits for all components supported by
+     *     this store (in no particular order).
      */
-    listComponents() generates (vec<ComponentTraits> traits);
+    listComponents() generates (
+            Status status,
+            vec<ComponentTraits> traits
+        );
 
     /**
      * Creates a persistent input surface that can be used as an input surface
      * for any IComponent instance
      *
-     * This method must return within 100ms.
-     *
-     * @return surface A persistent input surface
+     * @return status Status of the call, which may be
+     *   - `OK`        - The operation was successful.
+     *   - `NO_MEMORY` - Not enough memory to complete this method.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return surface A persistent input surface. This may be null to indicate
+     *     an error.
      */
-    createInputSurface() generates (IInputSurface surface);
+    createInputSurface() generates (
+            Status status,
+            IInputSurface surface
+        );
 
     /**
-     * Returns a list of StructDescriptor object for a set of requested
-     * structures that this store is aware of.
+     * Returns a list of `StructDescriptor` objects for a set of requested
+     * C2Param structure indices that this store is aware of.
      *
      * This operation must be performed at best effort, e.g. the component
      * store must simply ignore all struct indices that it is not aware of.
      *
-     * @param indices struct indices to return des
+     * @param indices Indices of C2Param structures to describe.
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - NOT_FOUND - Some indices were not known.
-     *   - NO_MEMORY - Not enough memory to complete this method.
-     * @return structs List of StructDescriptor objects.
+     *   - `OK`        - The operation completed successfully.
+     *   - `NOT_FOUND` - Some indices were not known.
+     *   - `NO_MEMORY` - Not enough memory to complete this method.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return structs List of `StructDescriptor` objects.
      */
     getStructDescriptors(
             vec<ParamIndex> indices
@@ -181,33 +190,35 @@
         );
 
     /**
-     * Returns information required for using BufferPool API in buffer passing.
-     * If the returned pool is not null, the client can call registerSender() to
-     * register its IAccessor instance, hence allowing the client to send
-     * buffers to components hosted by this process.
-     *
-     * @return pool If the component store supports receiving buffers via
-     *     BufferPool API, \p pool must be a valid `IClientManager` instance.
-     *     Otherwise, \p pool must be null.
-     */
-    getPoolClientManager(
-        ) generates (
-            IClientManager pool
-        );
-
-    /**
-     * The store must copy the contents of \p src into \p dst without changing
-     * the format of \p dst.
+     * Copies the contents of @p src into @p dst without changing the format of
+     * @p dst.
      *
      * @param src Source buffer.
      * @param dst Destination buffer.
      * @return status Status of the call, which may be
-     *   - OK        - The copy is successful.
-     *   - CANNOT_DO - \p src and \p dst are not compatible.
-     *   - REFUSED   - No permission to copy.
-     *   - CORRUPTED - The copy cannot be done. (unexpected)
+     *   - `OK`        - The copy is successful.
+     *   - `CANNOT_DO` - @p src and @p dst are not compatible.
+     *   - `REFUSED`   - No permission to copy.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     copyBuffer(Buffer src, Buffer dst) generates (Status status);
 
+    /**
+     * Returns the `IClientManager` object for the component's BufferPool.
+     *
+     * @return pool If the component store supports receiving buffers via
+     *     BufferPool API, @p pool must be a valid `IClientManager` instance.
+     *     Otherwise, @p pool must be null.
+     */
+    getPoolClientManager() generates (IClientManager pool);
+
+    /**
+     * Returns the @ref IConfigurable instance associated to this component
+     * store.
+     *
+     * @return configurable `IConfigurable` instance. This must not be null.
+     */
+    getConfigurable() generates (IConfigurable configurable);
 };
 
diff --git a/media/c2/1.0/IConfigurable.hal b/media/c2/1.0/IConfigurable.hal
index cd4dd10..31dc4d3 100644
--- a/media/c2/1.0/IConfigurable.hal
+++ b/media/c2/1.0/IConfigurable.hal
@@ -17,43 +17,78 @@
 package android.hardware.media.c2@1.0;
 
 /**
- * Generic configuration interface used by all configurable Codec 2.0
- * components.
+ * Generic configuration interface presented by all configurable Codec2 objects.
  *
- * This interface must be supported in all states of the inheriting
- * object, and must not change the state of the inheriting object.
+ * This interface must be supported in all states of the owning object, and must
+ * not change the state of the owning object.
  */
 interface IConfigurable {
     /**
-     * Returns the name of this object. This must match the name that was
-     * supplied during the creation of the object.
+     * Returns the id of the object. This must be unique among all objects of
+     * the same type hosted by the same store.
      *
-     * @return name Name of this object.
+     * @return id Id of the object.
+     */
+    getId() generates (uint32_t id);
+
+    /**
+     * Returns the name of the object.
+     *
+     * This must match the name that was supplied during the creation of the
+     * object.
+     *
+     * @return name Name of the object.
      */
     getName() generates (string name);
 
     /**
-     * Queries a set of parameters from the object. Querying is performed at
-     * best effort: the object must query all supported parameters and skip
-     * unsupported ones, or parameters that could not be allocated. Any errors
-     * are communicated in the return value.
+     * Queries a set of parameters from the object.
      *
-     * \note Parameter values do not depend on the order of query.
+     * Querying is performed at best effort: the object must query all supported
+     * parameters and skip unsupported ones (which may include parameters that
+     * could not be allocated). Any errors are communicated in the return value.
      *
-     * This method must return within 1ms if \p mayBlock is DONT_BLOCK, and
-     * within 5ms otherwise.
+     * If @p mayBlock is false, this method must not block. All parameter
+     * queries that require blocking must be skipped.
      *
-     * @param indices List of param indices for params to be queried.
+     * If @p mayBlock is true, a query may block, but the whole method call
+     * has to complete in a timely manner, or `status = TIMED_OUT` is returned.
+     *
+     * If @p mayBlock is false, this method must not block. Otherwise, this
+     * method is allowed to block for a certain period of time before completing
+     * the operation. If the operation is not completed in a timely manner,
+     * `status = TIMED_OUT` is returned.
+     *
+     * @note The order of C2Param objects in @p param does not depend on the
+     *     order of C2Param structure indices in @p indices.
+     *
+     * \par For IComponent
+     *
+     * When the object type is @ref IComponent, this method must be supported in
+     * any state except released. This call must not change the state nor the
+     * internal configuration of the component.
+     *
+     * The blocking behavior of this method differs among states:
+     *   - In the stopped state, this must be non-blocking. @p mayBlock is
+     *     ignored. (The method operates as if @p mayBlock was false.)
+     *   - In any of the running states, this method may block momentarily if
+     *     @p mayBlock is true. However, if the call cannot be completed in a
+     *     timely manner, `status = TIMED_OUT` is returned.
+     *
+     * @param indices List of C2Param structure indices to query.
      * @param mayBlock Whether this call may block or not.
      * @return status Status of the call, which may be
-     *   - OK        - All parameters could be queried.
-     *   - BAD_INDEX - All supported parameters could be queried, but some
-     *                 parameters were not supported.
-     *   - NO_MEMORY - Could not allocate memory for a supported parameter.
-     *   - BLOCKING  - Querying some parameters requires blocking.
-     *   - CORRUPTED - Some unknown error prevented the querying of the
-     *                 parameters. (unexpected)
-     * @return params List of params queried corresponding to \p indices.
+     *   - `OK`        - All parameters could be queried.
+     *   - `BAD_INDEX` - All supported parameters could be queried, but some
+     *                   parameters were not supported.
+     *   - `NO_MEMORY` - Could not allocate memory for a supported parameter.
+     *   - `BLOCKING`  - Querying some parameters requires blocking, but
+     *                   @p mayBlock is false.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return params Flattened representation of C2Param objects.
+     *
+     * @sa Params.
      */
     query(
             vec<ParamIndex> indices,
@@ -64,31 +99,60 @@
         );
 
     /**
-     * Sets a set of parameters for the object. Tuning is performed at best
-     * effort: the object must update all supported configuration at best
-     * effort and skip unsupported parameters. Any errors are communicated in
-     * the return value and in \p failures.
+     * Sets a set of parameters for the object.
      *
-     * \note Parameter tuning DOES depend on the order of the tuning parameters.
-     * E.g. some parameter update may allow some subsequent parameter update.
+     * Tuning is performed at best effort: the object must update all supported
+     * configurations at best effort and skip unsupported parameters. Any errors
+     * are communicated in the return value and in @p failures.
      *
-     * This method must return within 1ms if \p mayBlock is false, and within
-     * 5ms otherwise.
+     * A non-strict parameter update with an unsupported value shall cause an
+     * update to the closest supported value. A strict parameter update with an
+     * unsupported value shall be skipped and a failure shall be returned.
+     *
+     * If @p mayBlock is false, this method must not block. An update that
+     * requires blocking shall be skipped and a failure shall be returned.
+     *
+     * If @p mayBlock is true, an update may block, but the whole method call
+     * has to complete in a timely manner, or `status = TIMED_OUT` is returned.
+     *
+     * The final values for all parameters set are propagated back to the caller
+     * in @p params.
+     *
+     * \par For IComponent
+     *
+     * When the object type is @ref IComponent, this method must be supported in
+     * any state except released.
+     *
+     * The blocking behavior of this method differs among states:
+     *   - In the stopped state, this must be non-blocking. @p mayBlock is
+     *     ignored. (The method operates as if @p mayBlock was false.)
+     *   - In any of the running states, this method may block momentarily if
+     *     @p mayBlock is true. However, if the call cannot be completed in a
+     *     timely manner, `status = TIMED_OUT` is returned.
+     *
+     * @note Parameter tuning @e does depend on the order of the tuning
+     * parameters, e.g., some parameter update may enable some subsequent
+     * parameter update.
      *
      * @param inParams Requested parameter updates.
      * @param mayBlock Whether this call may block or not.
      * @return status Status of the call, which may be
-     *   - OK        - All parameters could be updated successfully.
-     *   - BAD_INDEX - All supported parameters could be updated successfully,
-     *                 but some parameters were not supported.
-     *   - NO_MEMORY - Some supported parameters could not be updated
-     *                 successfully because they contained unsupported values.
-     *                 These are returned in \p failures.
-     *   - BLOCKING  - Setting some parameters requires blocking.
-     *   - CORRUPTED - Some unknown error prevented the update of the
-     *                 parameters. (unexpected)
-     * @return failures List of parameter failures.
-     * @return outParams Resulting values for the configured parameters.
+     *   - `OK`        - All parameters could be updated successfully.
+     *   - `BAD_INDEX` - All supported parameters could be updated successfully,
+     *                   but some parameters were not supported.
+     *   - `NO_MEMORY` - Some supported parameters could not be updated
+     *                   successfully because they contained unsupported values.
+     *                   These are returned in @p failures.
+     *   - `BLOCKING`  - Setting some parameters requires blocking, but
+     *                   @p mayBlock is false.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return failures List of update failures.
+     * @return outParams Flattened representation of configured parameters. The
+     *     order of parameters in @p outParams is based on the order of
+     *     requested updates in @p inParams.
+     *
+     * @sa SettingResult.
      */
     config(
             Params inParams,
@@ -103,22 +167,19 @@
     // =========================================================================
 
     /**
-     * Returns a selected range of the set of supported parameters.
+     * Returns a list of supported parameters within a selected range of C2Param
+     * structure indices.
      *
-     * The set of supported parameters are represented in a vector with a
-     * start index of 0, and the selected range are indices into this vector.
-     * Fewer than \p count parameters are returned if the selected range is
-     * not fully/not at all part of the available vector indices.
-     *
-     * This method must return within 1ms.
-     *
-     * @param start start index of selected range
-     * @param count size of the selected
+     * @param start The first index of the selected range.
+     * @param count The length of the selected range.
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - NO_MEMORY - Not enough memory to complete this method.
-     * @return params Vector containing the selected range of supported
-     *     parameters.
+     *   - `OK`        - The operation completed successfully.
+     *   - `NO_MEMORY` - Not enough memory to complete this method.
+     * @return params List of supported parameters in the selected range. This
+     *     list may have fewer than @p count elements if some indices in the
+     *     range are not supported.
+     *
+     * @sa ParamDescriptor.
      */
     querySupportedParams(
             uint32_t start,
@@ -131,23 +192,42 @@
     /**
      * Retrieves the supported values for the queried fields.
      *
-     * Upon return the object must fill in the supported
-     * values for the fields listed as well as a status for each field.
-     * Object shall process all fields queried even if some queries fail.
+     * The object must process all fields queried even if some queries fail.
      *
-     * This method must return within 1ms if \p mayBlock is false, and within
-     * 5ms otherwise.
+     * If @p mayBlock is false, this method must not block. Otherwise, this
+     * method is allowed to block for a certain period of time before completing
+     * the operation. If the operation cannot be completed in a timely manner,
+     * `status = TIMED_OUT` is returned.
      *
-     * @param inFields Vector of field queries.
+     * \par For IComponent
+     *
+     * When the object type is @ref IComponent, this method must be supported in
+     * any state except released.
+     *
+     * The blocking behavior of this method differs among states:
+     *   - In the stopped state, this must be non-blocking. @p mayBlock is
+     *     ignored. (The method operates as if @p mayBlock was false.)
+     *   - In any of the running states, this method may block momentarily if
+     *     @p mayBlock is true. However, if the call cannot be completed in a
+     *     timely manner, `status = TIMED_OUT` is returned.
+     *
+     * @param inFields List of field queries.
      * @param mayBlock Whether this call may block or not.
      * @return status Status of the call, which may be
-     *   - OK        - The operation completed successfully.
-     *   - BLOCKING  - Querying some parameters requires blocking.
-     *   - NO_MEMORY - Not enough memory to complete this method.
-     *   - BAD_INDEX - At least one field was not recognized as a component
-     *                 field.
-     * @return outFields Vector containing supported values and query result
-     *     for the selected fields.
+     *   - `OK`        - The operation completed successfully.
+     *   - `BLOCKING`  - Querying some parameters requires blocking, but
+     *                   @p mayBlock is false.
+     *   - `NO_MEMORY` - Not enough memory to complete this method.
+     *   - `BAD_INDEX` - At least one field was not recognized as a component
+     *                   field.
+     *   - `BLOCKING`  - Querying some fields requires blocking, but @p mayblock
+     *                   is false.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return outFields List of supported values and results for the
+     *     supplied queries.
+     *
+     * @sa FieldSupportedValuesQuery, FieldSupportedValuesQueryResult.
      */
     querySupportedValues(
             vec<FieldSupportedValuesQuery> inFields,
diff --git a/media/c2/1.0/IInputSink.hal b/media/c2/1.0/IInputSink.hal
new file mode 100644
index 0000000..809c27a
--- /dev/null
+++ b/media/c2/1.0/IInputSink.hal
@@ -0,0 +1,55 @@
+/*
+ * 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.
+ */
+
+package android.hardware.media.c2@1.0;
+
+import android.hardware.graphics.bufferqueue@1.0::IGraphicBufferProducer;
+
+import IConfigurable;
+
+/**
+ * An `IInputSink` is a receiver of work items.
+ *
+ * An @ref IComponent instance can present itself as an `IInputSink` via a thin
+ * wrapper.
+ *
+ * @sa IInputSurface, IComponent.
+ */
+interface IInputSink {
+    /**
+     * Feeds work to the sink.
+     *
+     * @param workBundle `WorkBundle` object containing a list of `Work` objects
+     *     to queue to the component.
+     * @return status Status of the call, which may be
+     *   - `OK`        - Works in @p workBundle were successfully queued.
+     *   - `BAD_INDEX` - Some component id in some `Worklet` is not valid.
+     *   - `CANNOT_DO` - Tunneling has not been set up for this sink, but some
+     *                   `Work` object contains tunneling information.
+     *   - `NO_MEMORY` - Not enough memory to queue @p workBundle.
+     *   - `TIMED_OUT` - The operation cannot be finished in a timely manner.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     */
+    queue(WorkBundle workBundle) generates (Status status);
+
+    /**
+     * Returns the @ref IConfigurable instance associated to this sink.
+     *
+     * @return configurable `IConfigurable` instance. This must not be null.
+     */
+    getConfigurable() generates (IConfigurable configurable);
+};
+
diff --git a/media/c2/1.0/IInputSurface.hal b/media/c2/1.0/IInputSurface.hal
index c083a21..d11ce15 100644
--- a/media/c2/1.0/IInputSurface.hal
+++ b/media/c2/1.0/IInputSurface.hal
@@ -19,43 +19,57 @@
 import android.hardware.graphics.bufferqueue@1.0::IGraphicBufferProducer;
 
 import IConfigurable;
-import IComponent;
+import IInputSink;
 import IInputSurfaceConnection;
 
 /**
- * Input surface that can be configured for the IComponent.
+ * Input surface for a Codec2 component.
+ *
+ * An <em>input surface</em> is an instance of `IInputSurface`, which may be
+ * created by calling IComponentStore::createInputSurface(). Once created, the
+ * client may
+ *   1. write data to it via the `IGraphicBufferProducer` interface; and
+ *   2. use it as input to a Codec2 encoder.
+ *
+ * @sa IInputSurfaceConnection, IComponentStore::createInputSurface(),
+ *     IComponent::connectToInputSurface().
  */
-interface IInputSurface extends IGraphicBufferProducer {
+interface IInputSurface {
+    /**
+     * Returns the producer interface into the internal buffer queue.
+     *
+     * @return producer `IGraphicBufferProducer` instance. This must not be
+     * null.
+     */
+    getGraphicBufferProducer() generates (IGraphicBufferProducer producer);
 
     /**
-     * Connects this input surface to a component.
+     * Returns the @ref IConfigurable instance associated to this input surface.
      *
-     * This call must return within 100 ms.
-     *
-     * @param component The component to connect to. This must have type
-     *     IComponent.
-     * @return status Status of the call, which may be
-     *   - OK        - The operation succeeded.
-     *   - BAD_STATE - The component is in running state.
-     *   - DUPLICATE - The surface is already connected to a component.
-     *   - NO_MEMORY - Could not allocate memory to connect to the component.
-     *   - CORRUPTED - Some unknown error prevented the connection. (unexpected)
-     * @return connection Connection object that is used to disconnect
-     *     from the component.
+     * @return configurable `IConfigurable` instance. This must not be null.
      */
-    connectToComponent(
-            IComponent component
+    getConfigurable() generates (IConfigurable configurable);
+
+    /**
+     * Connects the input surface to an input sink.
+     *
+     * This function is generally called from inside the implementation of
+     * IComponent::connectToInputSurface(), where @p sink is a thin wrapper of
+     * the component that consumes buffers from this surface.
+     *
+     * @param sink Input sink. See `IInputSink` for more information.
+     * @return status Status of the call, which may be
+     *   - `OK`        - Configuration successful.
+     *   - `BAD_VALUE` - @p sink is invalid.
+     *   - `CORRUPTED` - Some unknown error occurred.
+     * @return connection `IInputSurfaceConnection` object. This must not be
+     *     null if @p status is `OK`.
+     */
+    connect(
+            IInputSink sink
         ) generates (
             Status status,
             IInputSurfaceConnection connection
         );
-
-    /**
-     * Returns the Codec 2.0 configuration object for this surface.
-     *
-     * @return configurable The configuration object for this surface.
-     */
-    getConfigurable() generates (IConfigurable configurable);
-
 };
 
diff --git a/media/c2/1.0/IInputSurfaceConnection.hal b/media/c2/1.0/IInputSurfaceConnection.hal
index 500091d..035b115 100644
--- a/media/c2/1.0/IInputSurfaceConnection.hal
+++ b/media/c2/1.0/IInputSurfaceConnection.hal
@@ -16,20 +16,33 @@
 
 package android.hardware.media.c2@1.0;
 
-interface IInputSurfaceConnection {
+import IConfigurable;
 
+/**
+ * Connection between a component and an input surface.
+ *
+ * An instance of `IInputSurfaceConnection` contains an `IConfigurable`
+ * interface for querying and configuring properties of the connection.
+ */
+interface IInputSurfaceConnection {
     /**
-     * Disconnects this input surface from the component.
-     *
-     * This call must return within 100 ms.
+     * Destroys the connection between an input surface and a component.
      *
      * @return status Status of the call, which may be
-     *   - OK        - The operation succeeded.
-     *   - BAD_STATE - The component is not in running state.
-     *   - NOT_FOUND - The surface is not connected to a component.
-     *   - CORRUPTED - Some unknown error prevented the connection. (unexpected)
+     *   - `OK`        - The disconnection succeeded.
+     *   - `BAD_STATE` - The component is not in running state.
+     *   - `NOT_FOUND` - The surface is not connected to a component.
+     *   - `CORRUPTED` - Some unknown error occurred.
      */
     disconnect() generates (Status status);
 
+    /**
+     * Returns the @ref IConfigurable instance associated to this connection.
+     *
+     * This can be used to customize the connection.
+     *
+     * @return configurable `IConfigurable` instance. This must not be null.
+     */
+    getConfigurable() generates (IConfigurable configurable);
 };
 
diff --git a/media/c2/1.0/types.hal b/media/c2/1.0/types.hal
index 252d781..ec422b1 100644
--- a/media/c2/1.0/types.hal
+++ b/media/c2/1.0/types.hal
@@ -18,220 +18,278 @@
 
 import android.hardware.media.bufferpool@2.0::BufferStatusMessage;
 
+/**
+ * Common return values for Codec2 operations.
+ */
 enum Status : int32_t {
-    /** operation completed successfully */
+    /** Operation completed successfully. */
     OK        = 0,
 
     // bad input
 
-    /** argument has invalid value (user error) */
+    /** Argument has invalid value (user error). */
     BAD_VALUE = -22,
-    /** argument uses invalid index (user error) */
+    /** Argument uses invalid index (user error). */
     BAD_INDEX = -75,
-    /** argument/index is valid but not possible */
+    /** Argument/Index is valid but not possible. */
     CANNOT_DO = -2147483646,
 
     // bad sequencing of events
 
-    /** object already exists */
+    /** Object already exists. */
     DUPLICATE = -17,
-    /** object not found */
+    /** Object not found. */
     NOT_FOUND = -2,
-    /** operation is not permitted in the current state */
+    /** Operation is not permitted in the current state. */
     BAD_STATE = -38,
-    /** operation would block but blocking is not permitted */
+    /** Operation would block but blocking is not permitted. */
     BLOCKING  = -9930,
 
     // bad environment
 
-    /** not enough memory to complete operation */
+    /** Not enough memory to complete operation. */
     NO_MEMORY = -12,
-    /** missing permission to complete operation */
+    /** Missing permission to complete operation. */
     REFUSED   = -1,
 
-    /** operation did not complete within timeout */
+    /** Operation did not complete within timeout. */
     TIMED_OUT = -110,
 
     // missing functionality
 
-    /** operation is not implemented/supported (optional only) */
+    /** Operation is not implemented/supported (optional only). */
     OMITTED   = -74,
 
     // unknown fatal
 
-    /** some unexpected error prevented the operation */
+    /** Some unexpected error prevented the operation. */
     CORRUPTED = -2147483648,
 
     // uninitialized
 
-    /** status has not been initialized */
+    /** Status has not been initialized. */
     NO_INIT   = -19,
 };
 
 /**
- * Codec 2.0 parameter index
+ * C2Param structure index.
+ *
+ * This is a number that is unique for each C2Param structure type.
+ *
+ * @sa Codec 2.0 standard.
  */
 typedef uint32_t ParamIndex;
 
 /**
- * Codec 2.0 parameter structure
+ * Flattened representation of C2Param objects.
  *
- * The description of a Params is provided by supplying a ParamIndex to
- * IComponentStore::getStructDescriptors().
+ * The `Params` type is an array of bytes made up by concatenating a list of
+ * C2Param objects. The start index (offset into @ref Params) of each C2Param
+ * object in the list is divisible by 8. Up to 7 padding bytes may be added
+ * after each C2Param object to achieve this 64-bit alignment.
+ *
+ * Each C2Param object has the following layout:
+ * - 4 bytes: C2Param structure index (of type @ref ParamIndex) identifying the
+ *   type of the C2Param object.
+ * - 4 bytes: size of the C2Param object (unsigned 4-byte integer).
+ * - (size - 8) bytes: data of the C2Param object.
+ *
+ * In order to interpret each C2Param object correctly, its structure must be
+ * described by IComponentStore::getStructDescriptors().
+ *
+ * @note Please refer to the Codec 2.0 standard for the list of standard
+ * parameter structures.
+ *
+ * @sa Codec 2.0 standard.
  */
 typedef vec<uint8_t> Params;
 
 /**
- * Struct uniquely specifying a field in an arbitrary parameter structure.
+ * Identifying information of a field relative to a known C2Param structure.
+ *
+ * Within a given C2Param structure, each field is uniquely identified by @ref
+ * FieldId.
  */
 struct FieldId {
-    /** Offset of the field in bytes */
+    /** Offset of the field in bytes. */
     uint32_t offset;
-    /** Size of the field in bytes */
+    /** Size of the field in bytes. */
     uint32_t size;
 };
 
 /**
- * Struct representing a location of a field in a parameter with a given index.
+ * Reference to a field in a C2Param structure.
  */
 struct ParamField {
-    /** Index of the parameter */
+    /** Index of the C2Param structure. */
     ParamIndex index;
-    /** Field identifier */
+    /** Identifier of the field inside the C2Param structure. */
     FieldId fieldId;
 };
 
 /**
- * Struct describing basic properties of a parameter with a given index.
+ * Usage description of a C2Param structure.
+ *
+ * @ref ParamDescriptor is returned by IConfigurable::querySupportedParams().
  */
 struct ParamDescriptor {
-    /** Parameter index */
+    /**
+     * Index of the C2Param structure being described.
+     */
     ParamIndex index;
 
     enum Attrib : uint32_t {
         /**
-         * Parameter is required to be specified.
+         * The parameter is required to be specified.
          */
         REQUIRED   = 1u << 0,
         /**
-         * Parameter retains its value.
+         * The parameter retains its value.
          */
         PERSISTENT = 1u << 1,
         /**
-         * Parameter is strict.
+         * The parameter is strict.
          */
         STRICT     = 1u << 2,
         /**
-         * Parameter is publicly read-only.
+         * The parameter is publicly read-only.
          */
         READ_ONLY  = 1u << 3,
         /**
-         * Parameter must not be visible to clients.
+         * The parameter must not be visible to clients.
          */
         HIDDEN     = 1u << 4,
         /**
-         * Parameter must not be used by framework (other than testing).
+         * The parameter must not be used by framework (other than testing).
          */
         INTERNAL   = 1u << 5,
         /**
-         * Parameter is publicly constant (hence read-only).
+         * The parameter is publicly constant (hence read-only).
          */
         CONST      = 1u << 6,
     };
-    /** Parameter attributes */
     bitfield<Attrib> attrib;
 
-    /** Parameter name */
+    /**
+     * Name of the structure. This must be unique for each structure.
+     */
     string name;
 
-    /** index of other parameters that this parameter depends on */
+    /**
+     * Indices of other C2Param structures that this C2Param structure depends
+     * on.
+     */
     vec<ParamIndex> dependencies;
 };
 
-// Generic way to describe supported numeric values for Codec 2.0 interfaces.
+// Generic way to describe supported numeric values for Codec2 interfaces.
 
 /**
- * An untyped value that can fit on 64 bits - the type of which is communicated
- * via a separate channel (FieldType).
+ * An untyped value that can fit in 64 bits, the type of which is communicated
+ * via a separate channel (@ref FieldSupportedValues.type).
  */
 typedef uint64_t PrimitiveValue;
 
 /*
- * Generic supported values for a field.
+ * Description of supported values for a field.
  *
- * This can be either a range or a set of values. The range can be linear or
- * geometric with clear minimum and maximum values, and can have an optional
- * step size or geometric ratio. Values can optionally represent flags.
+ * This can be a continuous range or a discrete set of values.
  */
 struct FieldSupportedValues {
+    /**
+     * Used if #type is `RANGE`.
+     *
+     * If the `step` member is 0, and `num` and `denom` are both 1, the `Range`
+     * structure represents a closed interval bounded by `min` and `max`.
+     *
+     * Otherwise, the #Range structure represents a finite sequence of numbers
+     * produced from the following recurrence relation:
+     *
+     * @code
+     * v[0] = min
+     * v[i] = v[i - 1] * num / denom + step ; i >= 1
+     * @endcode
+     *
+     * Both the ratio `num / denom` and the value `step` must be positive. The
+     * last number in the sequence described by this #Range structure is the
+     * largest number in the sequence that is smaller than or equal to `max`.
+     *
+     * @note
+     * The division in the formula may truncate the result if the data type of
+     * these values is an integral type.
+     */
     struct Range {
+        /**
+         * Lower end of the range (inclusive).
+         */
         PrimitiveValue min;
+        /**
+         * Upper end of the range (inclusive).
+         */
         PrimitiveValue max;
+        /**
+         * The non-homogeneous term in the recurrence relation.
+         */
         PrimitiveValue step;
+        /**
+         * The numerator of the scale coefficient in the recurrence relation.
+         */
         PrimitiveValue num;
+        /**
+         * The denominator of the scale coefficient in the recurrence relation.
+         */
         PrimitiveValue denom;
     };
 
     enum Type : int32_t {
         /** No supported values */
-        EMPTY,
-        /** Numeric range that can be continuous or discrete */
+        EMPTY = 0,
+        /** Numeric range, described in a #Range structure */
         RANGE,
         /** List of values */
         VALUES,
         /** List of flags that can be OR-ed */
         FLAGS,
-        /** Other representations */
-        OTHER = 0xffffffff,
     };
     /**
-     * Type of the supported values. The framework may not recognize `OTHER`.
+     * Type of the supported values.
      */
     Type type;
-    /**
-     * Codec2.0 type code of the supported values.
-     *   * If #type is `OTHER`, #typeOther can be used to give more information.
-     *     In this case, the interpretation of this structure is
-     *     implementation-defined.
-     *   * For all other values of #type, #typeOther is not used.
-     * The framework may not inspect this value.
-     */
-    int32_t typeOther;
-
-    /*
-     * If #type = EMPTY, #range and #value are unused.
-     */
 
     /**
-     * If #type = RANGE, #range will specify the range of possible values.
+     * When #type is #Type.RANGE, #range shall specify the range of possible
+     * values.
      *
-     * The intended type of members of #range will be clear in the context where
-     * FieldSupportedValues is used.
+     * The intended type of members of #range shall be clear in the context
+     * where `FieldSupportedValues` is used.
      */
     Range range;
 
     /**
-     * If #type is `VALUES` or `FLAGS`, #value will list supported values.
+     * When #type is #Type.VALUES or #Type.FLAGS, #value shall list supported
+     * values/flags.
      *
-     * The intended type of components of #value will be clear in the context
-     * where FieldSupportedValues is used.
+     * The intended type of components of #value shall be clear in the context
+     * where `FieldSupportedValues` is used.
      */
     vec<PrimitiveValue> values;
 };
 
 /**
- * Supported values for a specific field.
+ * Supported values for a field.
  *
  * This is a pair of the field specifier together with an optional supported
  * values object. This structure is used when reporting parameter configuration
  * failures and conflicts.
  */
 struct ParamFieldValues {
-    /** the field or parameter */
+    /**
+     * Reference to a field or a C2Param structure.
+     */
     ParamField paramOrField;
 
     /**
-     * optional supported values for the field if paramOrField specifies an
+     * Optional supported values for the field if #paramOrField specifies an
      * actual field that is numeric (non struct, blob or string). Supported
      * values for arrays (including string and blobs) describe the supported
      * values for each element (character for string, and bytes for blobs). It
@@ -241,18 +299,18 @@
 };
 
 /**
- * Field descriptor.
+ * Description of a field inside a C2Param structure.
  */
 struct FieldDescriptor {
 
-    /** Field id */
+    /** Location of the field in the C2Param structure */
     FieldId fieldId;
 
     /**
-     * Possible types of a field.
+     * Possible types of the field.
      */
     enum Type : uint32_t {
-        NO_INIT,
+        NO_INIT = 0,
         INT32,
         UINT32,
         CNTR32,
@@ -261,186 +319,227 @@
         CNTR64,
         FLOAT,
         /**
-         * Fixed-size string (POD)
+         * Fixed-size string (POD).
          */
         STRING = 0x100,
         /**
-         * blobs have no sub-elements and can be thought of as byte arrays.
-         * However, bytes cannot be individually addressed by clients.
+         * A blob has no sub-elements and can be thought of as an array of
+         * bytes. However, bytes cannot be individually addressed by clients.
          */
         BLOB,
         /**
-         * Structs. Marked with this flag in addition to their coreIndex.
+         * The field is a structure that may contain other fields.
          */
-        STRUCT_FLAG = 0x20000,
+        STRUCT = 0x20000,
     };
     /**
      * Type of the field.
      */
     bitfield<Type> type;
 
-    /** Extent of the field */
-    uint32_t length;
-    /*
-     * Note: the last member of a param struct can be of arbitrary length (e.g.
-     * if it is T[] array, which extends to the last byte of the parameter.)
-     * This is marked with extent 0.
+    /**
+     * If #type is #Type.STRUCT, #structIndex is the C2Param structure index;
+     * otherwise, #structIndex is not used.
      */
+    ParamIndex structIndex;
 
-    /** Name of the field */
+    /**
+     * Extent of the field.
+     * - For a non-array field, #extent is 1.
+     * - For a fixed-length array field, #extent is the length. An array field
+     *   of length 1 is indistinguishable from a non-array field.
+     * - For a variable-length array field, #extent is 0. This can only occur as
+     *   the last member of a C2Param structure.
+     */
+    uint32_t extent;
+
+    /**
+     * Name of the field. This must be unique for each field in the same
+     * structure.
+     */
     string name;
-    /** Named value type */
+
+    /**
+     * Named value type. This is used for defining an enum value for a numeric
+     * type.
+     */
     struct NamedValue {
+        /**
+         * Name of the enum value. This must be unique for each enum value in
+         * the same field.
+         */
         string name;
+        /**
+         * Underlying value of the enum value. Multiple enum names may have the
+         * same underlying value.
+         */
         PrimitiveValue value;
     };
-    /** Named values for the field */
+    /**
+     * List of enum values. This is not used when #type is not one of the
+     * numeric types.
+     */
     vec<NamedValue> namedValues;
 };
 
 /**
- * Struct descriptor.
+ * Description of a C2Param structure. It consists of an index and a list of
+ * `FieldDescriptor`s.
  */
 struct StructDescriptor {
-    /** Struct type */
+    /**
+     * Index of the structure.
+     */
     ParamIndex type;
-    /** Field descriptors for each field */
+    /**
+     * List of fields in the structure.
+     *
+     * Fields are ordered by their offsets. A field that is a structure is
+     * ordered before its members.
+     */
     vec<FieldDescriptor> fields;
 };
 
 /**
- * Information describing the reason a parameter settings may fail, or
- * may be overriden.
+ * Information describing the reason the parameter settings may fail, or may be
+ * overridden.
  */
 struct SettingResult {
-    /** Failure code (of Codec 2.0 SettingResult failure type) */
+    /** Failure code */
     enum Failure : uint32_t {
-        /** Parameter is read-only and cannot be set. */
-        READ_ONLY,
-        /** Parameter mismatches input data. */
-        MISMATCH,
-        /** Parameter does not accept value. */
-        BAD_VALUE,
         /** Parameter is not supported. */
         BAD_TYPE,
         /** Parameter is not supported on the specific port. */
         BAD_PORT,
         /** Parameter is not supported on the specific stream. */
         BAD_INDEX,
-        /** Parameter is in conflict with an/other setting(s). */
+        /** Parameter is read-only and cannot be set. */
+        READ_ONLY,
+        /** Parameter mismatches input data. */
+        MISMATCH,
+        /** Strict parameter does not accept value for the field at all. */
+        BAD_VALUE,
+        /**
+         * Strict parameter field value is in conflict with an/other
+         * setting(s).
+         */
         CONFLICT,
         /**
-         * Parameter is out of range due to other settings. (This failure mode
-         * can only be used for strict parameters.)
+         * Parameter field is out of range due to other settings. (This failure
+         * mode can only be used for strict calculated parameters.)
          */
         UNSUPPORTED,
         /**
+         * Field does not access the requested parameter value at all. It has
+         * been corrected to the closest supported value. This failure mode is
+         * provided to give guidance as to what are the currently supported
+         * values for this field (which may be a subset of the at-all-potential
+         * values).
+         */
+        INFO_BAD_VALUE,
+        /**
          * Requested parameter value is in conflict with an/other setting(s)
          * and has been corrected to the closest supported value. This failure
-         * mode is given to provide suggestion to the client as to how to enable
-         * the requested parameter value. */
-        INFO_CONFLICT,
-        /**
-         * This failure mode is reported when all the above failure modes do not
-         * apply.
+         * mode is given to provide guidance as to what are the currently
+         * supported values as well as to optionally provide suggestion to the
+         * client as to how to enable the requested parameter value.
          */
-        OTHER = 0xffffffff,
+        INFO_CONFLICT,
     };
-    /**
-     * The failure type. The framework might not recognize `OTHER`.
-     */
     Failure failure;
-    /**
-     * The failure code.
-     *   * If #failure is `OTHER`, #failureOther can be used to give more
-     *     information.
-     *   * For all other values of #failure, #failureOther is not used.
-     * The framework may not inspect this value.
-     */
-    uint32_t failureOther;
 
     /**
-     * Failing (or corrected) field. Currently supported values for the field.
-     * This is set if different from the globally supported values (e.g. due to
-     * restrictions by another param or input data)
+     * Failing (or corrected) field or parameter and optionally, currently
+     * supported values for the field. Values must only be set for field
+     * failures other than `BAD_VALUE`, and only if they are different from the
+     * globally supported values (e.g. due to restrictions by another parameter
+     * or input data).
      */
     ParamFieldValues field;
 
     /**
-     * Conflicting parameters or fields with
-     * (optional) suggested values for any conflicting fields to avoid the conflict.
+     * Conflicting parameters or fields with (optional) suggested values for any
+     * conflicting fields to avoid the conflict. Values must only be set for
+     * `CONFLICT`, `UNSUPPORTED` or `INFO_CONFLICT` failure code.
      */
     vec<ParamFieldValues> conflicts;
 };
 
 /**
- * Data structure for ordering Work objects. Each member is used for comparing
- * urgency in the same fashion: a smaller value indicates that the associated
- * Work object is more urgent.
+ * Ordering information of @ref FrameData objects. Each member is used for
+ * comparing urgency: a smaller difference from a reference value indicates that
+ * the associated Work object is more urgent. The reference value for each
+ * member is initialized the first time it is communicated between the client
+ * and the codec, and it may be updated to later values that are communicated.
+ *
+ * Each member of `WorkOrdinal` is stored as an unsigned integer, but the actual
+ * order it represents is derived by subtracting the reference value, then
+ * interpreting the result as a signed number with the same storage size (using
+ * two's complement).
+ *
+ * @note `WorkOrdinal` is the HIDL counterpart of `C2WorkOrdinalStruct` in the
+ * Codec 2.0 standard.
  */
 struct WorkOrdinal {
     /**
-     * Timestamp in microseconds - can wrap around.
+     * Timestamp in microseconds.
      */
     uint64_t timestampUs;
     /**
-     * Frame index - can wrap around.
+     * Frame index.
      */
     uint64_t frameIndex;
     /**
-     * Component specific frame ordinal - can wrap around.
+     * Component specific frame ordinal.
      */
     uint64_t customOrdinal;
 };
 
 /**
- * A structure that holds information of a Block. There are two types of Blocks:
- * NATIVE and POOLED. Each type has its own way of identifying blocks.
+ * Storage type for `BaseBlock`.
+ *
+ * A `BaseBlock` is a representation of a codec memory block. Coded data,
+ * decoded data, codec-specific data, and other codec-related data are all sent
+ * in the form of BaseBlocks.
  */
-struct BaseBlock {
-    enum Type : int32_t {
-        NATIVE,
-        POOLED,
-    };
+safe_union BaseBlock {
     /**
-     * There are two types of blocks: NATIVE and POOLED.
-     */
-    Type type;
-
-    /**
-     * A "NATIVE" block is represented by a native handle.
+     * #nativeBlock is the opaque representation of a buffer.
      */
     handle nativeBlock;
-
-    /*
-     * A "POOLED" block is represented by `BufferStatusMessage`.
+    /**
+     * #pooledBlock is a reference to a buffer handled by a BufferPool.
      */
     BufferStatusMessage pooledBlock;
 };
 
 /**
- * A Block in transfer consists of an index into an array of BaseBlock plus some
- * extra information. One BaseBlock may occur in multiple blocks in one
- * `WorkBundle`.
+ * Reference to a @ref BaseBlock within a @ref WorkBundle.
+ *
+ * `Block` contains additional attributes that `BaseBlock` does not. These
+ * attributes may differ among `Block` objects that refer to the same
+ * `BaseBlock` in the same `WorkBundle`.
  */
 struct Block {
     /**
-     * Identity of the BaseBlock within a WorkBundle. This is an index into the
-     * `baseBlocks` array of a `WorkBundle` object.
+     * Identity of a `BaseBlock` within a `WorkBundle`. This is an index into
+     * #WorkBundle.baseBlocks.
      */
     uint32_t index;
     /**
-     * Metadata associated with the block.
+     * Metadata associated with this `Block`.
      */
     Params meta;
     /**
-     * Fence for synchronizing block access.
+     * Fence for synchronizing `Block` access.
      */
     handle fence;
 };
 
 /**
- * Type of buffers processed by a component.
+ * A codec buffer, which is a collection of @ref Block objects and metadata.
+ *
+ * This is a part of @ref FrameData.
  */
 struct Buffer {
     /**
@@ -454,23 +553,37 @@
 };
 
 /**
- * An extension of Buffer that also contains an index.
+ * An extension of @ref Buffer that also contains a C2Param structure index.
+ *
+ * This is a part of @ref FrameData.
  */
 struct InfoBuffer {
+    /**
+     * A C2Param structure index.
+     */
     ParamIndex index;
+    /**
+     * Associated @ref Buffer object.
+     */
     Buffer buffer;
 };
 
 /**
- * This structure represents a frame with its metadata. A frame consists of an
- * ordered set of buffers, configuration changes, and info buffers along with
- * some non-configuration metadata.
+ * Data for an input frame or an output frame.
+ *
+ * This structure represents a @e frame with its metadata. A @e frame consists
+ * of an ordered set of buffers, configuration changes, and info buffers along
+ * with some non-configuration metadata.
+ *
+ * @note `FrameData` is the HIDL counterpart of `C2FrameData` in the Codec 2.0
+ * standard.
  */
 struct FrameData {
     enum Flags : uint32_t {
         /**
-         * For input frames: no output frame will be generated when processing
+         * For input frames: no output frame shall be generated when processing
          * this frame, but metadata must still be processed.
+         *
          * For output frames: this frame must be discarded but metadata is still
          * valid.
          */
@@ -482,92 +595,178 @@
         END_OF_STREAM = (1 << 1),
         /**
          * This frame must be discarded with its metadata.
-         * This flag is only set by components - e.g. as a response to the flush
+         *
+         * This flag is only set by components, e.g. as a response to the flush
          * command.
          */
         DISCARD_FRAME = (1 << 2),
         /**
+         * This frame is not the last frame produced for the input.
+         *
+         * This flag is normally set by the component - e.g. when an input frame
+         * results in multiple output frames, this flag is set on all but the
+         * last output frame.
+         *
+         * Also, when components are chained, this flag should be propagated
+         * down the work chain. That is, if set on an earlier frame of a
+         * work-chain, it should be propagated to all later frames in that
+         * chain. Additionally, components down the chain could set this flag
+         * even if not set earlier, e.g. if multiple output frames are generated
+         * at that component for the input frame.
+         */
+        FLAG_INCOMPLETE = (1 << 3),
+        /**
          * This frame contains only codec-specific configuration data, and no
          * actual access unit.
          *
-         * \deprecated Pass codec configuration with the codec-specific
+         * @deprecated Pass codec configuration with the codec-specific
          * configuration info together with the access unit.
          */
         CODEC_CONFIG  = (1u << 31),
     };
 
     /**
-     * Frame flags.
+     * Frame flags, as described in #Flags.
      */
     bitfield<Flags> flags;
 
     /**
-     * Ordinal of the frame.
+     * @ref WorkOrdinal of the frame.
      */
     WorkOrdinal ordinal;
 
     /**
-     * Frame buffers.
+     * List of frame buffers.
      */
     vec<Buffer> buffers;
 
     /**
-     * Params determining a configuration update.
+     * List of configuration updates.
      */
     Params configUpdate;
 
     /**
-     * Info buffers.
+     * List of info buffers.
      */
     vec<InfoBuffer> infoBuffers;
 };
 
 /**
- * Struct for
+ * In/out structure containing some instructions for and results from output
+ * processing.
+ *
+ * This is a part of @ref Work. One `Worklet` corresponds to one output
+ * @ref FrameData. The client must construct an original `Worklet` object inside
+ * a @ref Work object for each expected output before calling
+ * IComponent::queue().
  */
 struct Worklet {
     /**
-     * List of Params describing tunings.
+     * Component id. (Input)
+     *
+     * This is used only when tunneling is enabled.
+     *
+     * When used, this must match the return value from IConfigurable::getId().
      */
-    vec<Params> tunings;
+    uint32_t componentId;
 
     /**
-     * List of failures.
+     * List of C2Param objects describing tunings to be applied before
+     * processing this `Worklet`. (Input)
+     */
+    Params tunings;
+
+    /**
+     * List of failures. (Output)
      */
     vec<SettingResult> failures;
 
     /**
-     * Output frame data.
+     * Output frame data. (Output)
      */
     FrameData output;
-
-    /* Note: Component id is not necessary as tunneling is not supported. */
 };
 
 /**
- * This structure holds information about a single work item. It must be passed
- * by the client to the component.
+ * A collection of input data to and output data from the component.
+ *
+ * A `Work` object holds information about a single work item. It is created by
+ * the client and passed to the component via IComponent::queue(). The component
+ * has two ways of returning a `Work` object to the client:
+ *   1. If the queued `Work` object has been successfully processed,
+ *      IComponentListener::onWorkDone() shall be called to notify the listener,
+ *      and the output shall be included in the returned `Work` object.
+ *   2. If the client calls IComponent::flush(), a `Work` object that has not
+ *      been processed shall be returned.
+ *
+ * `Work` is a part of @ref WorkBundle.
  */
 struct Work {
     /**
-     * FrameData for the input. Indices of Blocks inside #input refer to
-     * BaseBlocks in the member `blocks` of the containing `WorkBundle`.
+     * Additional work chain info not part of this work.
+     */
+    Params chainInfo;
+
+    /**
+     * @ref FrameData for the input.
      */
     FrameData input;
+
     /**
-     * Worklet. Indices of Blocks inside `worklet.output` refer to
-     * BaseBlocks in the member `blocks` of the containing `WorkBundle`.
+     * The chain of `Worklet`s.
+     *
+     * The length of #worklets is 1 when tunneling is not enabled.
+     *
+     * If #worklets has more than a single element, the tunnels between
+     * successive components of the work chain must have been successfully
+     * pre-registered at the time that the `Work` is submitted. Allocating the
+     * output buffers in the `Worklet`s is the responsibility of each component
+     * in the chain.
+     *
+     * Upon `Work` submission, #worklets must be an appropriately sized vector
+     * containing `Worklet`s with @ref Worklet.hasOutput set to `false`. After a
+     * successful processing, all but the final `Worklet` in the returned
+     * #worklets must have @ref Worklet.hasOutput set to `false`.
      */
-    Worklet worklet;
+    vec<Worklet> worklets;
+
     /**
-     * Whether the worklet was processed or not.
+     * The number of `Worklet`s successfully processed in this chain.
+     *
+     * This must be initialized to 0 by the client when the `Work` is submitted,
+     * and it must contain the number of `Worklet`s that were successfully
+     * processed when the `Work` is returned to the client.
+     *
+     * #workletsProcessed cannot exceed the length of #worklets. If
+     * #workletsProcessed is smaller than the length of #worklets, #result
+     * cannot be `OK`.
      */
-    bool workletProcessed;
+    uint32_t workletsProcessed;
+
+    /**
+     * The final outcome of the `Work` (corresponding to #workletsProcessed).
+     *
+     * The value of @ref Status.OK implies that all `Worklet`s have been
+     * successfully processed.
+     */
     Status result;
 };
 
 /**
- * This structure holds a list of Work objects and a list of BaseBlocks.
+ * List of `Work` objects.
+ *
+ * `WorkBundle` is used in IComponent::queue(), IComponent::flush() and
+ * IComponentListener::onWorkDone(). A `WorkBundle` object consists of a list of
+ * `Work` objects and a list of `BaseBlock` objects. Bundling multiple `Work`
+ * objects together provides two benefits:
+ *   1. Batching of `Work` objects can reduce the number of IPC calls.
+ *   2. If multiple `Work` objects contain `Block`s that refer to the same
+ *      `BaseBlock`, the number of `BaseBlock`s that is sent between processes
+ *      is also reduced.
+ *
+ * @note `WorkBundle` is the HIDL counterpart of the vector of `C2Work` in the
+ * Codec 2.0 standard. The presence of #baseBlocks helps with minimizing the
+ * data transferred over an IPC.
  */
 struct WorkBundle {
     /**
@@ -581,27 +780,48 @@
 };
 
 /**
- * This structure describes a query for supported values of a field. This is
- * used as input to IConfigurable::queryFieldSupportedValues().
+ * Query information for supported values of a field. This is used as input to
+ * IConfigurable::querySupportedValues().
  */
 struct FieldSupportedValuesQuery {
+    /**
+     * Identity of the field to query.
+     */
+    ParamField field;
+
     enum Type : uint32_t {
-        /** Query all possible values regardless of other settings */
+        /** Query all possible values regardless of other settings. */
         POSSIBLE,
-        /** Query currently possible values given dependent settings */
+        /** Query currently possible values given dependent settings. */
         CURRENT,
     };
-
-    ParamField field;
+    /**
+     * Type of the query. See #Type for more information.
+     */
     Type type;
 };
 
 /**
  * This structure is used to hold the result from
- * IConfigurable::queryFieldSupportedValues().
+ * IConfigurable::querySupportedValues().
  */
 struct FieldSupportedValuesQueryResult {
+    /**
+     * Result of the query. Possible values are
+     * - `OK`: The query was successful.
+     * - `BAD_STATE`: The query was requested when the `IConfigurable` instance
+     *   was in a bad state.
+     * - `BAD_INDEX`: The requested field was not recognized.
+     * - `TIMED_OUT`: The query could not be completed in a timely manner.
+     * - `BLOCKING`: The query must block, but the parameter `mayBlock` in the
+     *   call to `querySupportedValues()` was `false`.
+     * - `CORRUPTED`: Some unknown error occurred.
+     */
     Status status;
+
+    /**
+     * Supported values. This is meaningful only when #status is `OK`.
+     */
     FieldSupportedValues values;
 };
 
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index 2e13854..0724c09 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -548,7 +548,7 @@
         std::cout << "[          ]   Early termination of test because vendor service cannot "
                      "prepare model that it does not support."
                   << std::endl;
-        GTEST_SKIP();
+        return;
     }
     EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
     ASSERT_NE(nullptr, preparedModel->get());
@@ -561,6 +561,9 @@
     V1_2::Model model = create_model();
     sp<V1_2::IPreparedModel> preparedModel = nullptr;
     PrepareModel(device, model, &preparedModel);
+    if (preparedModel == nullptr) {
+        GTEST_SKIP();
+    }
     EvaluatePreparedModel(preparedModel, is_ignored, examples,
                           model.relaxComputationFloat32toFloat16, testDynamicOutputShape);
 }
diff --git a/neuralnetworks/1.2/Android.bp b/neuralnetworks/1.2/Android.bp
index 9057b94..0642dce 100644
--- a/neuralnetworks/1.2/Android.bp
+++ b/neuralnetworks/1.2/Android.bp
@@ -22,9 +22,11 @@
         "android.hidl.safe_union@1.0",
     ],
     types: [
+        "Constant",
         "DeviceType",
         "FmqRequestDatum",
         "FmqResultDatum",
+        "MeasureTiming",
         "Model",
         "Operand",
         "OperandType",
@@ -34,6 +36,7 @@
         "OperationTypeRange",
         "OutputShape",
         "SymmPerChannelQuantParams",
+        "Timing",
     ],
     gen_java: false,
 }
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index 2e48ba0..3bddbe8 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -38,6 +38,8 @@
      *
      * Values of this operand type are either true or false. A zero value
      * represents false; any other value represents true.
+     *
+     * Available since API level 29.
      */
     BOOL = 6,
     /**
@@ -48,41 +50,49 @@
      * realValue = integerValue * scale.
      *
      * scale is a 32 bit floating point with value greater than zero.
+     *
+     * Available since API level 29.
      */
     TENSOR_QUANT16_SYMM = 7,
-    /** A tensor of IEEE 754 16 bit floating point values. */
+    /**
+     * A tensor of IEEE 754 16 bit floating point values.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
      */
     TENSOR_BOOL8 = 9,
-    /** An IEEE 754 16 bit floating point scalar value. */
+    /**
+     * An IEEE 754 16 bit floating point scalar value.
+     *
+     * Available since API level 29.
+     */
     FLOAT16 = 10,
     /**
      * A tensor of 8 bit signed integers that represent real numbers.
      *
-     * This tensor is associated with additional fields that are
-     * used to convert the 8 bit signed integer to the real value and vice versa.
+     * 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].
-     * These fields are located inside Operand's extraParams union, inside the
-     * SymmPerChannelQuantParams struct.
      *
-     * An Operand of this type must use the 'channelQuant' variant of its
-     * extraParams field.
+     * The channel dimension of this tensor must not be unknown (dimensions[channelDim] != 0).
      *
-     * The channel dimension of this tensor must be known, i.e.
-     * dimensions[channelDim] must be non-zero.
-     *
-     * The formula for real values:
+     * The formula is:
      * realValue[..., C, ...] =
      *     integerValue[..., C, ...] * scales[C]
      * where C is an index in the Channel dimension.
+     *
+     * Available since API level 29.
      */
     TENSOR_QUANT8_SYMM_PER_CHANNEL = 11,
     /**
@@ -95,6 +105,8 @@
      *
      * The formula is:
      * real_value = (integer_value - zeroPoint) * scale.
+     *
+     * Available since API level 29.
      */
     TENSOR_QUANT16_ASYMM = 12,
     /**
@@ -105,8 +117,24 @@
      * realValue = integerValue * scale.
      *
      * scale is a 32 bit floating point with value greater than zero.
+     *
+     * Available since API level 29.
      */
     TENSOR_QUANT8_SYMM = 13,
+    /*
+     * DEPRECATED. Since NNAPI 1.2, extensions are the preferred alternative to
+     * OEM operation and data types.
+     *
+     * OEM specific scalar value.
+     * OEM                 = 10000,
+     */
+    /*
+     * DEPRECATED. Since NNAPI 1.2, extensions are the preferred alternative to
+     * OEM operation and data types.
+     *
+     * A tensor of OEM specific values.
+     * TENSOR_OEM_BYTE     = 10001,
+     */
     /* ADDING A NEW FUNDAMENTAL TYPE REQUIRES UPDATING THE VALUE OF
      * OperandTypeRange::FUNDAMENTAL_MAX.
      */
@@ -132,64 +160,4295 @@
  *
  * The type of an operation in a model.
  */
-enum OperationType : @1.1::OperationType {
-    // TODO(b/116445845): Sync docs when all ops are implemented.
+enum OperationType : int32_t {
+    /**
+     * 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}
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     *
+     * Outputs:
+     * * 0: The sum, a tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 27.
+     */
+    ADD = @1.1::OperationType:ADD,
+
+    /**
+     * 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_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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], specifying
+     *      the input.
+     * * 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 API level 29.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     * * 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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth].
+     *
+     * Available since API level 27.
+     */
+    AVERAGE_POOL_2D = @1.1::OperationType:AVERAGE_POOL_2D,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (full support since API
+     *   level 29, see the input section)
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0 ~ n-1: The list of n input tensors, of shape
+     *            [D0, D1, ..., Daxis(i), ..., Dm].
+     *            Before API level 29, all input tensors of
+     *            {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *            must have the same scale and zeroPoint as the output tensor.
+     * * 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].
+     *
+     * Available since API level 27.
+     */
+    CONCATENATION = @1.1::OperationType:CONCATENATION,
+
+    /**
+     * Performs an 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 API level 29:
+     * * Quantized with symetric 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]).
+     *
+     * * 16 bit Floating point:
+     * * {@link OperandType::TENSOR_FLOAT16} for input, filter, output, and bias.
+     *
+     * 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 (extraParams.channelQuant.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},
+     *      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 API level 29.
+     * * 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 API level 29.
+     * * 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 API level 29.
+     *
+     * 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 (extraParams.channelQuant.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},
+     *      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 API level 29.
+     * * 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 API level 29.
+     * * 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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth_out]. For output tensor of
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the following condition
+     *      must be satisfied: output_scale > input_scale * filter_scale (for
+     *      filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      this condition must be true for all filter scales).
+     *
+     * Available since API level 27.
+     */
+    CONV_2D = @1.1::OperationType:CONV_2D,
+
+    /**
+     * 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 API level 29:
+     * * Quantized with symetric 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]).
+     *
+     * 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 [1, filter_height, filter_width, depth_out],
+     *      specifying the filter. For tensor of type
+     *      {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} the channel
+     *      dimension (extraParams.channelQuant.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},
+     *      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 API level 29.
+     * * 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 API level 29.
+     * * 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 API level 29.
+     *
+     * 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},
+     *      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 API level 29.
+     * * 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 API level 29.
+     * * 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 API level 29.
+
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth_out]. For output tensor of
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the following condition
+     *      must be satisfied: output_scale > input_scale * filter_scale (for
+     *      filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      this condition must be true for all filter scales).
+     *
+     * Available since API level 27.
+     */
+    DEPTHWISE_CONV_2D = @1.1::OperationType:DEPTHWISE_CONV_2D,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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 [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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape [batch, height*block_size,
+     *      width*block_size, depth/(block_size*block_size)].
+     *
+     * Available since API level 27.
+     */
+    DEPTH_TO_SPACE = @1.1::OperationType:DEPTH_TO_SPACE,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} (since API level 29)
+     *
+     * Supported output tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}.
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: A tensor with the same shape as input0.
+     *
+     * Available since API level 27.
+     */
+    DEQUANTIZE = @1.1::OperationType:DEQUANTIZE,
+
+    /**
+     * 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_FLOAT32}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     *
+     * Available since API level 27.
+     */
+    EMBEDDING_LOOKUP = @1.1::OperationType:EMBEDDING_LOOKUP,
+
+    /**
+     * Computes element-wise floor() on the input tensor.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@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.
+     *
+     * Available since API level 27.
+     */
+    FLOOR = @1.1::OperationType:FLOOR,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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".
+     * * 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}, 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]. For output
+     *      tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}, the following
+     *      condition must be satisfied:
+     *      output_scale > input_scale * filter_scale.
+     *
+     * Available since API level 27.
+     */
+    FULLY_CONNECTED = @1.1::OperationType:FULLY_CONNECTED,
+
+    /**
+     * 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 …].
+     * * 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.
+     *
+     * Available since API level 27.
+     */
+    HASHTABLE_LOOKUP = @1.1::OperationType:HASHTABLE_LOOKUP,
+
+    /**
+     * Applies L2 normalization along the depth 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))
+     *
+     * For input tensor with rank less than 4, independently normalizes each
+     * 1-D slice along dimension dim.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: up to 4
+     * Tensors with rank less than 4 are only supported since API level 29.
+     *
+     * 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 API level 29.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} and same shape as input0.
+     *
+     * Available since API level 27.
+     */
+    L2_NORMALIZATION = @1.1::OperationType:L2_NORMALIZATION,
+
+    /**
+     * 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 API level 29)
+     * * {@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].
+     *
+     * 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.
+     * * 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 API level 29.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     * * 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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth].
+     *
+     * Available since API level 27.
+     */
+    L2_POOL_2D = @1.1::OperationType:L2_POOL_2D,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * Supported tensor rank: up to 4
+     * Tensors with rank less than 4 are only supported since API level 29.
+     *
+     * 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: An {@link OperandType::FLOAT32} scalar, specifying the bias, must
+     *      not be zero.
+     * * 3: An {@link OperandType::FLOAT32} scalar, specifying the scale
+     *      factor, alpha.
+     * * 4: An {@link OperandType::FLOAT32} scalar, specifying the exponent,
+     *      beta.
+     * * 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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
+     */
+    LOCAL_RESPONSE_NORMALIZATION = @1.1::OperationType:LOCAL_RESPONSE_NORMALIZATION,
+
+    /**
+     * 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_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *
+     * 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.
+     *
+     * Available since API level 27.
+     */
+    LOGISTIC = @1.1::OperationType:LOGISTIC,
+
+    /**
+     * Projects an input to a bit vector via locality senstive hashing.
+     *
+     * Supported input tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@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]: Number of hash functions.
+     *      Tensor[0].Dim[1]: Number 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 API level 29).
+     *          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.
+     *
+     * Available since API level 27.
+     * The offset value for sparse projections was added in API level 29.
+     */
+    LSH_PROJECTION = @1.1::OperationType:LSH_PROJECTION,
+
+    /**
+     * 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 API level 29 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 input-to-input weights (\f$W_{xi}\f$), recurrent-to-input weights
+     *   (\f$W_{hi}\f$), cell-to-input (\f$W_{ci}\f$) weights, and input gate
+     *   bias (\f$b_i\f$) either all have values, or none of them have values
+     *   (i.e., all set to null). 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}
+     * * The cell-to-forget weights (\f$W_{cf}\f$) and cell-to-output weights
+     *   (\f$W_{co}\f$) either both have values or neither of them have values.
+     *   If they have values, the peephole optimization is used. Additionally,
+     *   if CIFG is not used, cell-to-input weights (\f$W_{ci}\f$) is also
+     *   required to have values for peephole optimization.
+     * * 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.
+     * * (API level >= 29) The four layer normalization weights either all have
+     *   values or none of them have values. Layer normalization is used when
+     *   values 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 API level 29)
+     * * {@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 API level 29 this scalar must be of type {@link
+     *      FLOAT32}. Since API level 29, 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
+     *      TENSOR_FLOAT16}, this scalar must be of type {@link
+     *      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 API level 29 this scalar must be of type {@link
+     *      FLOAT32}. Since API level 29, 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
+     *      TENSOR_FLOAT16}, this scalar must be of type {@link
+     *      FLOAT16}.
+     * Since API level 29 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.
+     *
+     * Available since API level 27.
+     */
+    LSTM = @1.1::OperationType:LSTM,
+
+    /**
+     * 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_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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], specifying
+     *      the input.
+     * * 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 API level 29.
+     *
+     * Inputs (implicit padding):
+     * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     * * 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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, out_height, out_width, depth].
+     *
+     * Available since API level 27.
+     */
+    MAX_POOL_2D = @1.1::OperationType:MAX_POOL_2D,
+
+    /**
+     * 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.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     *
+     * Outputs:
+     * * 0: The product, a tensor of the same {@link OperandType} as input0.
+     *      For output tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the following condition must be satisfied:
+     *      output_scale > input1_scale * input2_scale.
+     *
+     * Available since API level 27.
+     */
+    MUL = @1.1::OperationType:MUL,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
+     */
+    RELU = @1.1::OperationType:RELU,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
+     */
+    RELU1 = @1.1::OperationType:RELU1,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *
+     * Outputs:
+     * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
+     */
+    RELU6 = @1.1::OperationType:RELU6,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     *
+     * Outputs:
+     * * 0: The output tensor, of shape specified by the input shape.
+     *
+     * Available since API level 27.
+     */
+    RESHAPE = @1.1::OperationType:RESHAPE,
+
+    /**
+     * 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 API level 29)
+     * * {@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: A 4-D tensor, of shape [batches, height, width, depth], specifying
+     *      the input.
+     * * 1: An {@link OperandType::INT32} scalar, specifying the output
+     *      height of the output tensor.
+     * * 2: An {@link OperandType::INT32} scalar, specifying the output
+     *      width 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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape
+     *      [batches, new_height, new_width, depth].
+     *
+     * Available since API level 27.
+     */
+    RESIZE_BILINEAR = @1.1::OperationType:RESIZE_BILINEAR,
+
+    /**
+     * 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 API level 29)
+     * * {@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.
+     *
+     * Available since API level 27.
+     */
+    RNN = @1.1::OperationType:RNN,
+
+    /**
+     * 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_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported tensor rank: up to 4.
+     * Tensors with rank other than 2 or 4 are only supported since API level 29.
+     *
+     * Inputs:
+     * * 0: A 2-D or 4-D tensor, specifying the tensor to be reshaped.
+     * * 1: An {@link OperandType::FLOAT32} scalar, specifying the positive
+     *      scaling factor for the exponent, beta.
+     * * 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 API level 29.
+     *
+     * 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.
+     *
+     * Available since API level 27.
+     */
+    SOFTMAX = @1.1::OperationType:SOFTMAX,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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 [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 API level 29.
+     *
+     * Outputs:
+     * * 0: The output 4-D tensor, of shape [batches, height/block_size,
+     *      width/block_size, depth_in*block_size*block_size].
+     *
+     * Available since API level 27.
+     */
+    SPACE_TO_DEPTH = @1.1::OperationType:SPACE_TO_DEPTH,
+
+    /**
+     * 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 API level 29)
+     * * {@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].
+     *
+     * Available since API level 27.
+     */
+    SVDF = @1.1::OperationType:SVDF,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since API level 29)
+     *
+     * Supported tensor rank: up to 4.
+     *
+     * Inputs:
+     * * 0: A tensor, specifying the input.
+     *
+     * 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.
+     *
+     * Available since API level 27.
+     */
+    TANH = @1.1::OperationType:TANH,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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 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.
+     *
+     * Available since API level 28.
+     */
+    BATCH_TO_SPACE_ND = @1.1::OperationType:BATCH_TO_SPACE_ND,
+
+    /**
+     * 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.
+     *
+     * 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}
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     *
+     * 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.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
+     */
+    DIV = @1.1::OperationType:DIV,
+
+    /**
+     * 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.
+     *
+     * If dimensions to reduce have no entries, all dimensions are reduced, and
+     * a tensor with a single element is returned.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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. If None (the default), reduces all dimensions. Must be in
+     *      the range [-rank(input_tensor), rank(input_tensor)).
+     * * 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.
+     *
+     * Available since API level 28.
+     */
+    MEAN = @1.1::OperationType:MEAN,
+
+    /**
+     * Pads a tensor with zeros.
+     *
+     * This operation pads a tensor according to the specified paddings.
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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]
+     *
+     * Available since API level 28.
+     */
+    PAD = @1.1::OperationType:PAD,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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 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 {rank(input0), 2}.
+     *      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 API level 29.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
+     */
+    SPACE_TO_BATCH_ND = @1.1::OperationType:SPACE_TO_BATCH_ND,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     *
+     * Available since API level 28.
+     */
+    SQUEEZE = @1.1::OperationType:SQUEEZE,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     *
+     * Available since API level 28.
+     */
+    STRIDED_SLICE = @1.1::OperationType:STRIDED_SLICE,
+
+    /**
+     * 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}
+     *
+     * Supported tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since API level 29)
+     *
+     * 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.
+     *
+     * Outputs:
+     * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
+     */
+    SUB = @1.1::OperationType:SUB,
+
+    /**
+     * 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 API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * Supported tensor rank: up to 4
+     *
+     * Inputs:
+     * * 0: An n-D tensor, specifying the tensor to be transposed.
+     * * 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.
+     *
+     * Available since API level 28.
+     */
+    TRANSPOSE = @1.1::OperationType:TRANSPOSE,
+
+    /**
+     * Computes the absolute value of a tensor, 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
+    // There is no underscore in ARG_MAX to avoid name conflict with
+    // the macro defined in libc/kernel/uapi/linux/limits.h.
     ARGMAX = 39,
-    ARGMIN = 40,
+
+    /**
+     * 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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
+    ARGMIN = 40,  // See ARGMAX for naming discussion.
+
+    /**
+     * 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}
+     *
+     * 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.
+     * * 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}.
+     * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [batches], specifying the number of output boxes for each batch.
+     * * 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].
+     *
+     * Available since API level 29.
+     */
     AXIS_ALIGNED_BBOX_TRANSFORM = 41,
+
+    /**
+     * Performs a forward LSTM on the input followed by a backward LSTM.
+     *
+     * 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, output_size]
+     *        If batch-major: [batch_size, max_time, output_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 [num_units, input_size], where “num_units”
+     *      corresponds to the number of cell units.
+     * * 2: The forward input-to-forget weights.
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 3: The forward input-to-cell weights.
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 4: The forward input-to-output weights.
+     *      A 2-D tensor of shape [num_units, input_size].
+     * * 5: The forward recurrent-to-input weights. 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 forward recurrent-to-forget weights.
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 7: The forward recurrent-to-cell weights.
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 8: The forward recurrent-to-output weights.
+     *      A 2-D tensor of shape [num_units, output_size].
+     * * 9: The forward cell-to-input weights. Optional.
+     *      A 1-D tensor of shape [num_units].
+     * * 10: The forward cell-to-forget weights. Optional.
+     *       A 1-D tensor of shape [num_units].
+     * * 11: The forward cell-to-output weights. Optional.
+     *       A 1-D tensor of shape [num_units].
+     * * 12: The forward input gate bias. Optional.
+     *       A 1-D tensor of shape [num_units].
+     * * 13: The forward forget gate bias.
+     *       A 1-D tensor of shape [num_units].
+     * * 14: The forward cell gate bias.
+     *       A 1-D tensor of shape [num_units].
+     * * 15: The forward output gate bias.
+     *       A 1-D tensor of shape [num_units].
+     * * 16: The forward projection weights. Optional.
+     *       A 2-D tensor of shape [output_size, num_units].
+     * * 17: The forward projection bias. Optional.
+     *       A 1-D tensor of shape [output_size].
+     * * 18: The backward input-to-input weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size], where “num_units”
+     *       corresponds to the number of cell units.
+     * * 19: The backward input-to-forget weights.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 20: The backward input-to-cell weights.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 21: The backward input-to-output weights.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 22: The backward recurrent-to-input weights. 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.
+     * * 23: The backward recurrent-to-forget weights.
+     *       A 2-D tensor of shape [num_units, output_size].
+     * * 24: The backward recurrent-to-cell weights.
+     *       A 2-D tensor of shape [num_units, output_size].
+     * * 25: The backward recurrent-to-output weights.
+     *       A 2-D tensor of shape [num_units, output_size].
+     * * 26: The backward cell-to-input weights. Optional.
+     *       A 1-D tensor of shape [num_units].
+     * * 27: The backward cell-to-forget weights. Optional.
+     *       A 1-D tensor of shape [num_units].
+     * * 28: The backward cell-to-output weights. Optional.
+     *       A 1-D tensor of shape [num_units].
+     * * 29: The backward input gate bias. Optional.
+     *       A 1-D tensor of shape [num_units].
+     * * 30: The backward forget gate bias.
+     *       A 1-D tensor of shape [num_units].
+     * * 31: The backward cell gate bias.
+     *       A 1-D tensor of shape [num_units].
+     * * 32: The backward output gate bias.
+     *       A 1-D tensor of shape [num_units].
+     * * 33: The backward projection weights. Optional.
+     *       A 2-D tensor of shape [output_size, num_units].
+     * * 34: The backward projection bias. Optional.
+     *       A 1-D tensor of shape [output_size].
+     * * 35: The forward input activation state.
+     *       A 2-D tensor of shape [batch_size, output_size].
+     * * 36: The forward input cell state.
+     *       A 2-D tensor of shape [batch_size, num_units].
+     * * 37: The backward input activation state.
+     *       A 2-D tensor of shape [batch_size, output_size].
+     * * 38: The backward input cell state.
+     *       A 2-D tensor of shape [batch_size, num_units].
+     * * 39: The auxiliary input. Optional.
+     *       A 3-D tensor of shape [max_time, batch_size, input_size], where “batch_size”
+     *       corresponds to the batching dimension, and “input_size” is the size
+     *       of the input.
+     * * 40: The forward auxiliary input-to-input weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 41: The forward auxiliary input-to-forget weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 42: The forward auxiliary input-to-cell weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 43: The forward auxiliary input-to-output weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 44: The backward auxiliary input-to-input weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 45: The backward auxiliary input-to-forget weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 46: The backward auxiliary input-to-cell weights. Optional.
+     *       A 2-D tensor of shape [num_units, input_size].
+     * * 47: The backward auxiliary input-to-output weights. Optional.
+     *       A 2-D tensor of shape [num_units, 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
+     *       TENSOR_FLOAT16}, this scalar must be of type {@link
+     *       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
+     *       TENSOR_FLOAT16}, this scalar must be of type {@link
+     *       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.
+     *
+     * Outputs:
+     * * 0: The forward output.
+     *      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: The backward output.  Unused if merge_outputs is true.
+     *      A 3-D tensor of shape:
+     *        If time-major: [max_time, batch_size, output_size]
+     *        If batch-major: [batch_size, max_time, output_size]
+     *
+     * Available since API level 29.
+     */
     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 also supports 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 an auxiliary input 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
+     *
+     * 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
+     * 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 the same as of the input 0.
+     * * 10:fwAuxWeights.
+     *      A 2-D tensor of shape [fwNumUnits, inputSize].
+     * * 11:bwAuxWeights.
+     *      A 2-D tensor of shape [bwNumUnits, inputSize].
+     * * 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].
+     *
+     * Available since API level 29.
+     */
     BIDIRECTIONAL_SEQUENCE_RNN = 43,
+
+    /**
+     * Greedily selects a subset of bounding boxes in descending order of score.
+     *
+     * This op applies hard NMS algorithm to each class. In each loop of
+     * execution, the box with maximum score gets selected, and any boxes with
+     * the intersection-over-union (IOU) greater than a threshold are removed
+     * from the pending set.
+     *
+     * 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}
+     *
+     * 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.
+     * * 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.
+     * * 2: A 1-D Tensor of shape [batches], specifying the number of boxes
+     *      for each image in the batch.
+     * * 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::FLOAT32} scalar, specifying the IoU
+     *      threshold.
+     * * 5: 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.
+     *
+     * 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},
+     *      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
+     *      [batches], specifying the number of output boxes for each image.
+     *
+     * Available since API level 29.
+     */
     BOX_WITH_NMS_LIMIT = 44,
+
+    /**
+     * Casts a tensor to a new 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}
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: A tensor.
+     *
+     * Outputs:
+     * * 0: A tensor with the same shape as input0.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
     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: An {@link OperandType::FLOAT32} scalar, score_threshold. Boxes
+     *       with scores lower than the threshold are filtered before sending
+     *       to the NMS algorithm.
+     * * 12: An {@link OperandType::FLOAT32} scalar, specifying the IoU
+     *       threshold for hard NMS.
+     * * 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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}.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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}, 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].
+     * * 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}, the scale and zero
+     *      point must be the same as input0.
+     * * 1: A tensor of the same {@link OperandType} as input1, 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
+     *      [batches], specifying the number of output boxes for each image.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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}.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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}.
+     *
+     * Available since API level 29.
+     */
     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:
+     * * 32 bit Floating point :
+     * * * {@link OperandType::TENSOR_FLOAT32} for input, filter, output, and bias.
+     *
+     * * 16 bit Floating point:
+     * * {@link OperandType::TENSOR_FLOAT16} 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 symetric 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]).
+     *
+     * 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 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},
+     *      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 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},
+     *      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 output tensor of
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the following condition
+     *      must be satisfied: output_scale > input_scale * filter_scale (for
+     *      filter tensor of type {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}
+     *      this condition must be true for all filter scales).
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     * * 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.
+     * * 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].
+     *
+     * Available since API level 29.
+     */
     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: An {@link OperandType::FLOAT32} scalar, specifying gamma, the
+     *      scale applied to the normalized tensor.
+     * * 2: An {@link OperandType::FLOAT32} scalar, specifying beta, the
+     *      offset applied to the normalized tensor.
+     * * 3: An {@link OperandType::FLOAT32} scalar, specifying epsilon, the
+     *      small value added to variance to avoid dividing by zero.
+     * * 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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}.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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}.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}.
+     *
+     * Available since API level 29.
+     */
     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: An {@link OperandType::FLOAT32} scalar, specifying the positive
+     *      scaling factor for the exponent, beta.
+     * * 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and compatible dimensions
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: The sum, a tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * Inputs:
+     * * 0: A tensor.
+     * * 1: A tensor of the same {@link OperandType} and compatible dimensions
+     *      with input0.
+     *
+     * Outputs:
+     * * 0: The sum, a tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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}.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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_FLOAT32}, the
+     *      pad value should be of {@link OperandType::FLOAT32}.
+     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the pad value should 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]
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
     PRELU = 71,
+
+    /**
+     * Quantizes the input tensor.
+     *
+     * The formula is:
+     *
+     *     output = max(0, min(255, round(input / scale) + zeroPoint)
+     *
+     * 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, but with
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}.
+     *
+     * Available since API level 29.
+     */
     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, inputSize] 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, inputSize] 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, inputSize] 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, inputSize] 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.
+     * Outputs:
+     * * 0: A 2-D {@link OperandType::TENSOR_INT32} tensor with shape
+     *      [batches, samples], containing the drawn samples.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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} (since API level 29)
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [batches], specifying the number of output boxes for each batch.
+     * * 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].
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
+     *      [batches], specifying the number of output boxes for each batch.
+     * * 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].
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Outputs:
+     * * 0: A tensor of the same type and shape as input1 and input2.
+     *
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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.
+     * Slice size in each dimension cannot be zero.
+     *
+     * 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}
+     *
+     * Supported tensor rank: from 1
+     *
+     * Inputs:
+     * * 0: An n-D tensor to take slice from.
+     * * 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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     *
+     * Available since API level 29.
+     */
     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.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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`.
+     *
+     * Available since API level 29.
+     */
     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}
+     *
+     * 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.
+     * * 1: An n-D tensor of type {@link OperandType::TENSOR_INT32}
+     *      containing the indices of values within the last dimension of input.
+     *
+     * Available since API level 29.
+     */
     TOPK_V2 = 90,
+
+    /**
+     * Performs the tranpose 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}:
+     * * {@link OperandType::TENSOR_FLOAT16}
+     * * {@link OperandType::TENSOR_FLOAT32}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
+     * 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.
+     * * 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 input tensor of type
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, 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, 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.
+     * * 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 input tensor of type
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
+     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
+     *      bias_scale == input_scale * filter_scale.
+     * * 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 output tensor of
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the following condition
+     *      must be satisfied: output_scale > input_scale * filter_scale.
+     *
+     * Available since API level 29.
+     */
     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, output_size]
+     *        If batch-major: [batch_size, max_time, output_size]
+     *      where “max_size” 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.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at input gate.
+     * * 25:The forget layer normalization weights.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at forget gate.
+     * * 26:The cell layer normalization weights.
+     *      A 1-D tensor of shape [num_units]. Used to rescale normalized inputs
+     *      to activation at cell gate.
+     * * 27: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 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]
+     *
+     * Available since API level 29.
+     */
     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].
+     *
+     * Available since API level 29.
+     */
     UNIDIRECTIONAL_SEQUENCE_RNN = 93,
+    /**
+     * DEPRECATED. Since NNAPI 1.2, extensions are the preferred alternative to
+     * OEM operation and data types.
+     *
+     * This operation is OEM specific. It should only be used for OEM
+     * applications.
+     */
+    OEM_OPERATION = @1.1::OperationType:OEM_OPERATION,
     /* ADDING A NEW FUNDAMENTAL OPERATION REQUIRES UPDATING THE VALUE OF
      * OperationTypeRange::FUNDAMENTAL_MAX.
      */
@@ -459,7 +4718,7 @@
      * {@link OperationTypeRange::BASE_MAX} respectively should be interpreted
      * as an extension operand. The low
      * {@link Model::ExtensionTypeEncoding::LOW_BITS_TYPE} bits of the value
-     * correspond to the value within the extension and the high
+     * correspond to the type ID within the extension and the high
      * {@link Model::ExtensionTypeEncoding::HIGH_BITS_PREFIX} bits encode
      * the "prefix", which maps uniquely to the extension name.
      *
diff --git a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
index a0f11eb..3b8e3dd 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
@@ -157,6 +157,7 @@
         case OperandType::UINT32:
         case OperandType::BOOL:
             return 1;
+        case OperandType::TENSOR_BOOL8:
         case OperandType::TENSOR_FLOAT16:
         case OperandType::TENSOR_FLOAT32:
         case OperandType::TENSOR_INT32:
@@ -194,6 +195,7 @@
         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:
@@ -230,6 +232,7 @@
         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:
@@ -283,6 +286,7 @@
             newOperand.scale = 0.0f;
             newOperand.zeroPoint = 0;
             break;
+        case OperandType::TENSOR_BOOL8:
         case OperandType::TENSOR_FLOAT16:
         case OperandType::TENSOR_FLOAT32:
             newOperand.dimensions =
@@ -339,6 +343,10 @@
         // 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_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
@@ -357,8 +365,22 @@
                     return true;
                 }
             } break;
+            case OperationType::QUANTIZE:
             case OperationType::RANDOM_MULTINOMIAL: {
-                if (type == OperandType::TENSOR_FLOAT16 || type == OperandType::TENSOR_FLOAT32) {
+                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_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;
@@ -397,7 +419,6 @@
 ///////////////////////// VALIDATE MODEL OPERATION TYPE /////////////////////////
 
 static const uint32_t invalidOperationTypes[] = {
-        static_cast<uint32_t>(OperationTypeRange::FUNDAMENTAL_MIN) - 1,
         static_cast<uint32_t>(OperationTypeRange::FUNDAMENTAL_MAX) + 1,
         static_cast<uint32_t>(OperationTypeRange::OEM_MIN) - 1,
         static_cast<uint32_t>(OperationTypeRange::OEM_MAX) + 1,
@@ -484,6 +505,15 @@
                 }
             }
         }
+        // BIDIRECTIONAL_SEQUENCE_RNN can have either on or two outputs
+        // depending on a mergeOutputs parameter
+        if (operation.type == OperationType::BIDIRECTIONAL_SEQUENCE_RNN) {
+            for (const size_t outOprand : operation.outputs) {
+                if (operand == outOprand) {
+                    return true;
+                }
+            }
+        }
     }
     return false;
 }
diff --git a/radio/1.0/types.hal b/radio/1.0/types.hal
index 17718e0..8393cf5 100644
--- a/radio/1.0/types.hal
+++ b/radio/1.0/types.hal
@@ -1230,85 +1230,108 @@
 
 struct GsmSignalStrength {
     uint32_t signalStrength;              // Valid values are (0-61, 99) as defined in
-                                          // TS 27.007 8.69
-    uint32_t bitErrorRate;                // bit error rate (0-7, 99) as defined in TS 27.007 8.5
+                                          // TS 27.007 8.69; INT_MAX means invalid/unreported.
+    uint32_t bitErrorRate;                // bit error rate (0-7, 99) as defined in TS 27.007 8.5;
+                                          // INT_MAX means invalid/unreported.
     int32_t timingAdvance;                // Timing Advance in bit periods. 1 bit period = 48/13 us.
-                                          // INT_MAX denotes invalid value
+                                          // INT_MAX means invalid/unreported.
 };
 
 struct WcdmaSignalStrength{
     int32_t signalStrength;               // Valid values are (0-31, 99) as defined in
-                                          // TS 27.007 8.5
-    int32_t bitErrorRate;                 // bit error rate (0-7, 99) as defined in TS 27.007 8.5
+                                          // TS 27.007 8.5; INT_MAX means unreported.
+    int32_t bitErrorRate;                 // bit error rate (0-7, 99) as defined in TS 27.007 8.5;
+                                          // INT_MAX means invalid/unreported.
 };
 
 struct CdmaSignalStrength {
     uint32_t dbm;                         // This value is the actual RSSI
                                           // value multiplied by -1. Example: If the
                                           // actual RSSI is -75, then this response value will
-                                          // be 75.
+                                          // be 75. INT_MAX means invalid/unreported.
     uint32_t ecio;                        // This value is the actual
                                           // Ec/Io multiplied by -10. Example: If the
                                           // actual Ec/Io is -12.5 dB, then this response value
-                                          // will be 125.
+                                          // will be 125. INT_MAX means invalid/unreported.
 };
 
 struct EvdoSignalStrength {
     uint32_t dbm;                         // This value is the actual
                                           // RSSI value multiplied by -1.
                                           // Example: If the actual RSSI is -75,
-                                          // then this response value will be 75.
+                                          // then this response value will be 75; INT_MAX means
+                                          // invalid/unreported.
     uint32_t ecio;                        // This value is the actual
                                           // Ec/Io multiplied by -10. Example: If the
                                           // actual Ec/Io is -12.5 dB, then this response value
-                                          // will be 125.
+                                          // will be 125; INT_MAX means invalid/unreported.
     uint32_t signalNoiseRatio;            // Valid values are 0-8. 8 is the highest signal to
-                                          // noise ratio.
+                                          // noise ratio; INT_MAX means invalid/unreported.
 };
 
 struct LteSignalStrength {
     uint32_t signalStrength;              // Valid values are (0-31, 99) as defined in
-                                          // TS 27.007 8.5
+                                          // TS 27.007 8.5; INT_MAX means invalid/unreported.
     uint32_t rsrp;                        // The current Reference Signal Receive Power in dBm
                                           // multipled by -1.
-                                          // Range: 44 to 140 dBm
-                                          // INT_MAX: 0x7FFFFFFF denotes invalid value.
+                                          // Range: 44 to 140 dBm;
+                                          // INT_MAX: 0x7FFFFFFF denotes invalid/unreported value.
                                           // Reference: 3GPP TS 36.133 9.1.4
     uint32_t rsrq;                        // The current Reference Signal Receive Quality in dB
                                           // multiplied by -1.
-                                          // Range: 20 to 3 dB.
-                                          // INT_MAX: 0x7FFFFFFF denotes invalid value.
+                                          // Range: 20 to 3 dB;
+                                          // INT_MAX: 0x7FFFFFFF denotes invalid/unreported value.
                                           // Reference: 3GPP TS 36.133 9.1.7
     int32_t rssnr;                        // The current reference signal signal-to-noise ratio in
                                           // 0.1 dB units.
                                           // Range: -200 to +300 (-200 = -20.0 dB, +300 = 30dB).
-                                          // INT_MAX : 0x7FFFFFFF denotes invalid value.
+                                          // INT_MAX: 0x7FFFFFFF denotes invalid/unreported value.
                                           // Reference: 3GPP TS 36.101 8.1.1
     uint32_t cqi;                         // The current Channel Quality Indicator.
                                           // Range: 0 to 15.
-                                          // INT_MAX : 0x7FFFFFFF denotes invalid value.
+                                          // INT_MAX: 0x7FFFFFFF denotes invalid/unreported value.
                                           // Reference: 3GPP TS 36.101 9.2, 9.3, A.4
     uint32_t timingAdvance;               // timing advance in micro seconds for a one way trip
                                           // from cell to device.
                                           // Approximate distance is calculated using
                                           // 300m/us * timingAdvance.
                                           // Range: 0 to 1282 inclusive.
-                                          // INT_MAX : 0x7FFFFFFF denotes unknown value.
+                                          // INT_MAX: 0x7FFFFFFF denotes invalid/unreported value.
                                           // Reference: 3GPP 36.213 section 4.2.3
 };
 
 struct TdScdmaSignalStrength {
     uint32_t rscp;                        // The Received Signal Code Power in dBm multiplied by -1.
                                           // Range : 25 to 120
-                                          // INT_MAX: 0x7FFFFFFF denotes invalid value.
+                                          // INT_MAX: 0x7FFFFFFF denotes invalid/unreported value.
                                           // Reference: 3GPP TS 25.123, section 9.1.1.1
 };
 
 struct SignalStrength {
+    /**
+     * If GSM measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     GsmSignalStrength gw;
+    /**
+     * If CDMA measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     CdmaSignalStrength cdma;
+    /**
+     * If EvDO measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     EvdoSignalStrength evdo;
+    /**
+     * If LTE measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     LteSignalStrength lte;
+    /**
+     * If TD-SCDMA measurements are provided, this structure must contain valid measurements;
+     * otherwise all fields should be set to INT_MAX to mark them as invalid.
+     */
     TdScdmaSignalStrength tdScdma;
 };
 
diff --git a/radio/1.2/types.hal b/radio/1.2/types.hal
index 4715fac..2dceeb1 100644
--- a/radio/1.2/types.hal
+++ b/radio/1.2/types.hal
@@ -427,11 +427,13 @@
     /**
      * CPICH RSCP as defined in TS 25.215 5.1.1
      * Valid values are (0-96, 255) as defined in TS 27.007 8.69
+     * INT_MAX denotes that the value is invalid/unreported.
      */
     uint32_t rscp;
     /**
      * Ec/No value as defined in TS 25.215 5.1.5
      * Valid values are (0-49, 255) as defined in TS 27.007 8.69
+     * INT_MAX denotes that the value is invalid/unreported.
      */
     uint32_t ecno;
 
@@ -441,26 +443,53 @@
     /**
      * UTRA carrier RSSI as defined in TS 25.225 5.1.4
      * Valid values are (0-31, 99) as defined in TS 27.007 8.5
+     * INT_MAX denotes that the value is invalid/unreported.
      */
     uint32_t signalStrength;
     /**
      * Transport Channel BER as defined in TS 25.225 5.2.5
      * Valid values are (0-7, 99) as defined in TS 27.007 8.5
+     * INT_MAX denotes that the value is invalid/unreported.
      */
     uint32_t bitErrorRate;
     /**
      * P-CCPCH RSCP as defined in TS 25.225 5.1.1
      * Valid values are (0-96, 255) as defined in TS 27.007 8.69
+     * INT_MAX denotes that the value is invalid/unreported.
      */
     uint32_t rscp;
 };
 
 struct SignalStrength {
+    /**
+     * If GSM measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     GsmSignalStrength gsm;
+    /**
+     * If CDMA measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     CdmaSignalStrength cdma;
+    /**
+     * If EvDO measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     EvdoSignalStrength evdo;
+    /**
+     * If LTE measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     LteSignalStrength lte;
+    /**
+     * If TD-SCDMA measurements are provided, this structure must contain valid measurements;
+     * otherwise all fields should be set to INT_MAX to mark them as invalid.
+     */
     TdScdmaSignalStrength tdScdma;
+    /**
+     * If WCDMA measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
     WcdmaSignalStrength wcdma;
 };
 
diff --git a/radio/1.3/Android.bp b/radio/1.3/Android.bp
index 30b8edf..63056cc 100644
--- a/radio/1.3/Android.bp
+++ b/radio/1.3/Android.bp
@@ -7,6 +7,7 @@
         enabled: true,
     },
     srcs: [
+        "types.hal",
         "IRadio.hal",
         "IRadioIndication.hal",
         "IRadioResponse.hal",
@@ -17,6 +18,9 @@
         "android.hardware.radio@1.2",
         "android.hidl.base@1.0",
     ],
+    types: [
+        "RadioResponseInfoModem",
+    ],
     gen_java: true,
 }
 
diff --git a/radio/1.4/Android.bp b/radio/1.4/Android.bp
index 9fd0374..e8b8777 100644
--- a/radio/1.4/Android.bp
+++ b/radio/1.4/Android.bp
@@ -25,8 +25,10 @@
         "CardStatus",
         "CarrierRestrictionsWithPriority",
         "CellConfigLte",
+        "CellIdentityNr",
         "CellInfo",
         "CellInfoLte",
+        "CellInfoNr",
         "DataCallFailCause",
         "DataConnActiveStatus",
         "DataProfileInfo",
@@ -39,6 +41,7 @@
         "LteVopsInfo",
         "NetworkScanResult",
         "NrIndicators",
+        "NrSignalStrength",
         "PdpProtocolType",
         "PhysicalChannelConfig",
         "RadioAccessFamily",
@@ -46,6 +49,7 @@
         "RadioFrequencyInfo",
         "RadioTechnology",
         "SetupDataCallResult",
+        "SignalStrength",
         "SimLockMultiSimPolicy",
     ],
     gen_java: true,
diff --git a/radio/1.4/IRadio.hal b/radio/1.4/IRadio.hal
index 21c5097..8ef1f96 100644
--- a/radio/1.4/IRadio.hal
+++ b/radio/1.4/IRadio.hal
@@ -215,4 +215,13 @@
      * Response callback is IRadioResponse.getAllowedCarriersResponse_1_3()
      */
     oneway getAllowedCarriers_1_4(int32_t serial);
+
+    /**
+     * Requests current signal strength and associated information.  Must succeed if radio is on.
+     *
+     * @param serial Serial number of request.
+     *
+     * Response function is IRadioResponse.getSignalStrengthResponse_1_4()
+     */
+    oneway getSignalStrength_1_4(int32_t serial);
 };
diff --git a/radio/1.4/IRadioIndication.hal b/radio/1.4/IRadioIndication.hal
index 58b7b70..f4d3ba9 100644
--- a/radio/1.4/IRadioIndication.hal
+++ b/radio/1.4/IRadioIndication.hal
@@ -53,7 +53,7 @@
             vec<EmergencyNumber> emergencyNumberList);
 
     /**
-     * Request all of the current cell information known to the radio.
+     * Report all of the current cell information known to the radio.
      *
      * @param type Type of radio indication
      * @param records Current cell information
@@ -89,4 +89,12 @@
      *        3. Unsolicited disconnect from either modem or network side.
      */
     oneway dataCallListChanged_1_4(RadioIndicationType type, vec<SetupDataCallResult> dcList);
+
+    /**
+     * Indicates current signal strength of the radio.
+     *
+     * @param type Type of radio indication
+     * @param signalStrength SignalStrength information
+     */
+    oneway currentSignalStrength_1_4(RadioIndicationType type, SignalStrength signalStrength);
 };
diff --git a/radio/1.4/IRadioResponse.hal b/radio/1.4/IRadioResponse.hal
index 6b8977d..f43295a 100644
--- a/radio/1.4/IRadioResponse.hal
+++ b/radio/1.4/IRadioResponse.hal
@@ -24,6 +24,7 @@
 import @1.4::DataRegStateResult;
 import @1.4::RadioAccessFamily;
 import @1.4::SetupDataCallResult;
+import @1.4::SignalStrength;
 import @1.4::SimLockMultiSimPolicy;
 
 /**
@@ -200,4 +201,14 @@
      */
     oneway getAllowedCarriersResponse_1_4(RadioResponseInfo info,
             CarrierRestrictionsWithPriority carriers, SimLockMultiSimPolicy multiSimPolicy);
+
+    /**
+     * @param signalStrength Current signal strength
+     *
+     * Valid errors returned:
+     *   RadioError:NONE
+     *   RadioError:RADIO_NOT_AVAILABLE
+     *   RadioError:INTERNAL_ERR
+     */
+    oneway getSignalStrengthResponse_1_4(RadioResponseInfo info, SignalStrength signalStrength);
 };
diff --git a/radio/1.4/types.hal b/radio/1.4/types.hal
index 6fa7ebd..2747732 100644
--- a/radio/1.4/types.hal
+++ b/radio/1.4/types.hal
@@ -20,12 +20,16 @@
 import @1.0::ApnTypes;
 import @1.0::Carrier;
 import @1.0::CellInfoType;
+import @1.0::CdmaSignalStrength;
 import @1.0::DataCallFailCause;
 import @1.0::DataProfileId;
 import @1.0::DataProfileInfoType;
+import @1.0::EvdoSignalStrength;
+import @1.0::GsmSignalStrength;
+import @1.0::LteSignalStrength;
 import @1.0::RadioAccessFamily;
 import @1.0::RadioCapabilityPhase;
-import @1.0::RadioCapabilityStatus ;
+import @1.0::RadioCapabilityStatus;
 import @1.0::RadioError;
 import @1.0::RadioTechnology;
 import @1.0::RegState;
@@ -39,10 +43,17 @@
 import @1.2::CellInfoTdscdma;
 import @1.2::CellInfoWcdma;
 import @1.2::CardStatus;
-import @1.2::CellIdentity;
 import @1.2::CellConnectionStatus;
+import @1.2::CellIdentityCdma;
+import @1.2::CellIdentityGsm;
+import @1.2::CellIdentityLte;
+import @1.2::CellIdentityTdscdma;
+import @1.2::CellIdentityWcdma;
+import @1.2::CellIdentityOperatorNames;
 import @1.2::DataRegStateResult;
 import @1.2::PhysicalChannelConfig;
+import @1.2::TdscdmaSignalStrength;
+import @1.2::WcdmaSignalStrength;
 
 import android.hidl.safe_union@1.0::Monostate;
 
@@ -188,12 +199,12 @@
 };
 
 enum RadioTechnology : @1.0::RadioTechnology {
-    /** 5G NR. */
+    /** 5G NR. This is only use in 5G Standalone mode. */
     NR = 20,
 };
 
 enum RadioAccessFamily : @1.0::RadioAccessFamily {
-    /** 5G NR. */
+    /** 5G NR. This is only use in 5G Standalone mode. */
     NR = 1 << RadioTechnology:NR,
 };
 
@@ -1551,9 +1562,15 @@
         CellInfoWcdma wcdma;
         CellInfoTdscdma tdscdma;
         CellInfoLte lte;
+        CellInfoNr nr;
     } info;
 };
 
+struct CellInfoNr {
+    NrSignalStrength signalStrength;
+    CellIdentityNr cellidentity;
+};
+
 /** Overwritten from @1.2::NetworkScanResult in order to update the CellInfo to 1.4 version. */
 struct NetworkScanResult {
     /**
@@ -1770,3 +1787,131 @@
      */
     bool allowedCarriersPrioritized;
 };
+
+struct CellIdentityNr {
+    /** 3-digit Mobile Country Code, in range[0, 999], INT_MAX means invalid/unreported. */
+    string mcc;
+
+    /**
+     * 2 or 3-digit Mobile Network Code, in range [0, 999], INT_MAX means invalid/unreported.
+     */
+    string mnc;
+
+    /**
+     * Physical cell id in range [0, 1007] described in 3GPP TS 38.331. This value must be valid.
+     */
+    uint32_t pci;
+
+    /** 16-bit tracking area code, INT_MAX means invalid/unreported. */
+    int32_t tac;
+
+    /**
+     * NR Absolute Radio Frequency Channel Number, in range [0, 3279165].
+     * Reference: 3GPP TS 38.101-1 and 3GPP TS 38.101-2 section 5.4.2.1.
+     * This value must be valid.
+     */
+    int32_t nrarfcn;
+
+    CellIdentityOperatorNames operatorNames;
+};
+
+struct NrSignalStrength {
+    /**
+     * SS reference signal received power, multipled by -1.
+     *
+     * Reference: 3GPP TS 38.215.
+     *
+     * Range [44, 140], INT_MAX means invalid/unreported.
+     */
+    int32_t ssRsrp;
+
+    /**
+     * SS reference signal received quality, multipled by -1.
+     *
+     * Reference: 3GPP TS 38.215.
+     *
+     * Range [3, 20], INT_MAX means invalid/unreported.
+     */
+    int32_t ssRsrq;
+
+    /**
+     * SS signal-to-noise and interference ratio.
+     *
+     * Reference: 3GPP TS 38.215 section 5.1.*, 3GPP TS 38.133 section 10.1.16.1.
+     *
+     * Range [-23, 40], INT_MAX means invalid/unreported.
+     */
+    int32_t ssSinr;
+
+    /**
+     * CSI reference signal received power, multipled by -1.
+     *
+     * Reference: 3GPP TS 38.215.
+     *
+     * Range [44, 140], INT_MAX means invalid/unreported.
+     */
+    int32_t csiRsrp;
+
+    /**
+     * CSI reference signal received quality, multipled by -1.
+     *
+     * Reference: 3GPP TS 38.215.
+     *
+     * Range [3, 20], INT_MAX means invalid/unreported.
+     */
+    int32_t csiRsrq;
+
+    /**
+     * CSI signal-to-noise and interference ratio.
+     *
+     * Reference: 3GPP TS 138.215 section 5.1.*, 3GPP TS 38.133 section 10.1.16.1.
+     *
+     * Range [-23, 40], INT_MAX means invalid/unreported.
+     */
+    int32_t csiSinr;
+};
+
+/** Overwritten from @1.2::SignalStrength in order to add signal strength for NR.  */
+struct SignalStrength {
+    /**
+     * If GSM measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
+    GsmSignalStrength gsm;
+
+    /**
+     * If CDMA measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
+    CdmaSignalStrength cdma;
+
+    /**
+     * If EvDO measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
+    EvdoSignalStrength evdo;
+
+    /**
+     * If LTE measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
+    LteSignalStrength lte;
+
+    /**
+     * If TD-SCDMA measurements are provided, this structure must contain valid measurements;
+     * otherwise all fields should be set to INT_MAX to mark them as invalid.
+     */
+    TdscdmaSignalStrength tdscdma;
+
+    /**
+     * If WCDMA measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
+    WcdmaSignalStrength wcdma;
+
+    /**
+     * If NR 5G measurements are provided, this structure must contain valid measurements; otherwise
+     * all fields should be set to INT_MAX to mark them as invalid.
+     */
+    NrSignalStrength nr;
+};
diff --git a/radio/1.4/vts/functional/radio_hidl_hal_utils_v1_4.h b/radio/1.4/vts/functional/radio_hidl_hal_utils_v1_4.h
index f290d5d..b77814f 100644
--- a/radio/1.4/vts/functional/radio_hidl_hal_utils_v1_4.h
+++ b/radio/1.4/vts/functional/radio_hidl_hal_utils_v1_4.h
@@ -441,6 +441,9 @@
             const RadioResponseInfo& info,
             const ::android::hardware::radio::V1_2::SignalStrength& sig_strength);
 
+    Return<void> getSignalStrengthResponse_1_4(const RadioResponseInfo& info,
+            const ::android::hardware::radio::V1_4::SignalStrength& sig_strength);
+
     Return<void> getCellInfoListResponse_1_2(
             const RadioResponseInfo& info,
             const ::android::hardware::hidl_vec<::android::hardware::radio::V1_2::CellInfo>&
@@ -559,6 +562,9 @@
             RadioIndicationType type,
             const ::android::hardware::radio::V1_2::SignalStrength& signalStrength);
 
+    Return<void> currentSignalStrength_1_4(RadioIndicationType type,
+            const ::android::hardware::radio::V1_4::SignalStrength& signalStrength);
+
     /* 1.1 Api */
     Return<void> carrierInfoForImsiEncryption(RadioIndicationType info);
 
@@ -730,4 +736,4 @@
 
     /* radio indication handle */
     sp<RadioIndication_v1_4> radioInd_v1_4;
-};
\ No newline at end of file
+};
diff --git a/radio/1.4/vts/functional/radio_indication.cpp b/radio/1.4/vts/functional/radio_indication.cpp
index f08b361..c3722b0 100644
--- a/radio/1.4/vts/functional/radio_indication.cpp
+++ b/radio/1.4/vts/functional/radio_indication.cpp
@@ -85,6 +85,11 @@
     return Void();
 }
 
+Return<void> RadioIndication_v1_4::currentSignalStrength_1_4(RadioIndicationType /*type*/,
+        const ::android::hardware::radio::V1_4::SignalStrength& /*signalStrength*/) {
+    return Void();
+}
+
 /* 1.1 Apis */
 Return<void> RadioIndication_v1_4::carrierInfoForImsiEncryption(RadioIndicationType /*info*/) {
     return Void();
@@ -321,4 +326,4 @@
 Return<void> RadioIndication_v1_4::modemReset(RadioIndicationType /*type*/,
                                               const ::android::hardware::hidl_string& /*reason*/) {
     return Void();
-}
\ No newline at end of file
+}
diff --git a/radio/1.4/vts/functional/radio_response.cpp b/radio/1.4/vts/functional/radio_response.cpp
index 2ae5f7c..10ecead 100644
--- a/radio/1.4/vts/functional/radio_response.cpp
+++ b/radio/1.4/vts/functional/radio_response.cpp
@@ -739,6 +739,13 @@
     return Void();
 }
 
+Return<void> RadioResponse_v1_4::getSignalStrengthResponse_1_4(const RadioResponseInfo& info,
+        const ::android::hardware::radio::V1_4::SignalStrength& /*sig_strength*/) {
+    rspInfo = info;
+    parent_v1_4.notify(info.serial);
+    return Void();
+}
+
 Return<void> RadioResponse_v1_4::getCellInfoListResponse_1_2(
         const RadioResponseInfo& /*info*/,
         const ::android::hardware::hidl_vec<
@@ -864,4 +871,4 @@
         const RadioResponseInfo& /*info*/, const CarrierRestrictionsWithPriority& /*carriers*/,
         SimLockMultiSimPolicy /*multiSimPolicy*/) {
     return Void();
-}
\ No newline at end of file
+}
diff --git a/sensors/2.0/default/Sensor.cpp b/sensors/2.0/default/Sensor.cpp
index 373ab12..c09173f 100644
--- a/sensors/2.0/default/Sensor.cpp
+++ b/sensors/2.0/default/Sensor.cpp
@@ -18,6 +18,8 @@
 
 #include <utils/SystemClock.h>
 
+#include <cmath>
+
 namespace android {
 namespace hardware {
 namespace sensors {
@@ -28,6 +30,8 @@
 using ::android::hardware::sensors::V1_0::SensorFlagBits;
 using ::android::hardware::sensors::V1_0::SensorStatus;
 
+static constexpr float kDefaultMaxDelayUs = 10 * 1000 * 1000;
+
 Sensor::Sensor(ISensorsEventCallback* callback)
     : mIsEnabled(false),
       mSamplingPeriodNs(0),
@@ -83,7 +87,7 @@
     // to the Event FMQ prior to writing the flush complete event.
     Event ev;
     ev.sensorHandle = mSensorInfo.sensorHandle;
-    ev.sensorType = SensorType::ADDITIONAL_INFO;
+    ev.sensorType = SensorType::META_DATA;
     ev.u.meta.what = MetaDataEventType::META_DATA_FLUSH_COMPLETE;
     std::vector<Event> evs{ev};
     mCallback->postEvents(evs, isWakeUpSensor());
@@ -202,7 +206,7 @@
     mSensorInfo.resolution = 1.52e-5;
     mSensorInfo.power = 0.001f;          // mA
     mSensorInfo.minDelay = 20 * 1000;    // microseconds
-    mSensorInfo.maxDelay = 1000 * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -218,10 +222,10 @@
     mSensorInfo.type = SensorType::PRESSURE;
     mSensorInfo.typeAsString = "";
     mSensorInfo.maxRange = 1100.0f;   // hPa
-    mSensorInfo.resolution = 1.0f;    // hPa
+    mSensorInfo.resolution = 0.005f;  // hPa
     mSensorInfo.power = 0.001f;       // mA
-    mSensorInfo.minDelay = 28571.0f;  // microseconds
-    mSensorInfo.maxDelay = 0.0f;      // microseconds
+    mSensorInfo.minDelay = 100 * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -236,11 +240,11 @@
     mSensorInfo.version = 1;
     mSensorInfo.type = SensorType::MAGNETIC_FIELD;
     mSensorInfo.typeAsString = "";
-    mSensorInfo.maxRange = 4911.0f;
-    mSensorInfo.resolution = 1.00f;
+    mSensorInfo.maxRange = 1300.0f;
+    mSensorInfo.resolution = 0.01f;
     mSensorInfo.power = 0.001f;       // mA
-    mSensorInfo.minDelay = 14284.0f;  // microseconds
-    mSensorInfo.maxDelay = 0.0f;      // microseconds
+    mSensorInfo.minDelay = 20 * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -255,11 +259,11 @@
     mSensorInfo.version = 1;
     mSensorInfo.type = SensorType::LIGHT;
     mSensorInfo.typeAsString = "";
-    mSensorInfo.maxRange = 10000.0f;
+    mSensorInfo.maxRange = 43000.0f;
     mSensorInfo.resolution = 10.0f;
     mSensorInfo.power = 0.001f;           // mA
-    mSensorInfo.minDelay = 20.0f * 1000;  // microseconds
-    mSensorInfo.maxDelay = 0;             // microseconds
+    mSensorInfo.minDelay = 200 * 1000;    // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -277,8 +281,8 @@
     mSensorInfo.maxRange = 5.0f;
     mSensorInfo.resolution = 1.0f;
     mSensorInfo.power = 0.012f;  // mA
-    mSensorInfo.minDelay = 500;  // microseconds
-    mSensorInfo.maxDelay = 2 * mSensorInfo.minDelay;
+    mSensorInfo.minDelay = 200 * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -293,11 +297,11 @@
     mSensorInfo.version = 1;
     mSensorInfo.type = SensorType::GYROSCOPE;
     mSensorInfo.typeAsString = "";
-    mSensorInfo.maxRange = 8.726639f;
-    mSensorInfo.resolution = 1.0f;
+    mSensorInfo.maxRange = 1000.0f * M_PI / 180.0f;
+    mSensorInfo.resolution = 1000.0f * M_PI / (180.0f * 32768.0f);
     mSensorInfo.power = 0.001f;
-    mSensorInfo.minDelay = 4444;  // microseonds
-    mSensorInfo.maxDelay = 0;     // microseconds
+    mSensorInfo.minDelay = 2.5f * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -313,10 +317,10 @@
     mSensorInfo.type = SensorType::AMBIENT_TEMPERATURE;
     mSensorInfo.typeAsString = "";
     mSensorInfo.maxRange = 80.0f;
-    mSensorInfo.resolution = 1.0f;
+    mSensorInfo.resolution = 0.01f;
     mSensorInfo.power = 0.001f;
-    mSensorInfo.minDelay = 4444;  // microseonds
-    mSensorInfo.maxDelay = 0;     // microseconds
+    mSensorInfo.minDelay = 40 * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -332,10 +336,10 @@
     mSensorInfo.type = SensorType::TEMPERATURE;
     mSensorInfo.typeAsString = "";
     mSensorInfo.maxRange = 80.0f;
-    mSensorInfo.resolution = 1.0f;
+    mSensorInfo.resolution = 0.01f;
     mSensorInfo.power = 0.001f;
-    mSensorInfo.minDelay = 4444;  // microseonds
-    mSensorInfo.maxDelay = 0;     // microseconds
+    mSensorInfo.minDelay = 40 * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
@@ -352,10 +356,10 @@
     mSensorInfo.type = SensorType::RELATIVE_HUMIDITY;
     mSensorInfo.typeAsString = "";
     mSensorInfo.maxRange = 100.0f;
-    mSensorInfo.resolution = 1.0f;
+    mSensorInfo.resolution = 0.1f;
     mSensorInfo.power = 0.001f;
-    mSensorInfo.minDelay = 4444;  // microseonds
-    mSensorInfo.maxDelay = 0;     // microseconds
+    mSensorInfo.minDelay = 40 * 1000;  // microseconds
+    mSensorInfo.maxDelay = kDefaultMaxDelayUs;
     mSensorInfo.fifoReservedEventCount = 0;
     mSensorInfo.fifoMaxEventCount = 0;
     mSensorInfo.requiredPermission = "";
diff --git a/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp b/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp
index 4a1f8f1..39053fe 100644
--- a/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp
+++ b/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp
@@ -51,7 +51,7 @@
     }
 
     void onEvent(const ::android::hardware::sensors::V1_0::Event& event) override {
-        if (event.sensorType == SensorType::ADDITIONAL_INFO &&
+        if (event.sensorType == SensorType::META_DATA &&
             event.u.meta.what == MetaDataEventType::META_DATA_FLUSH_COMPLETE) {
             std::unique_lock<std::recursive_mutex> lock(mFlushMutex);
             mFlushMap[event.sensorHandle]++;
diff --git a/tests/libhwbinder/1.0/default/Android.bp b/tests/libhwbinder/1.0/default/Android.bp
index 3d18720..aad1e31 100644
--- a/tests/libhwbinder/1.0/default/Android.bp
+++ b/tests/libhwbinder/1.0/default/Android.bp
@@ -1,4 +1,4 @@
-cc_library_shared {
+cc_library {
     name: "android.hardware.tests.libhwbinder@1.0-impl",
     defaults: ["hidl_defaults"],
     relative_install_path: "hw",
diff --git a/vibrator/1.3/example/Android.bp b/vibrator/1.3/example/Android.bp
new file mode 100644
index 0000000..36f2ff8
--- /dev/null
+++ b/vibrator/1.3/example/Android.bp
@@ -0,0 +1,34 @@
+//
+// 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.
+
+cc_binary {
+    name: "android.hardware.vibrator@1.3-service.example",
+    vendor: true,
+    relative_install_path: "hw",
+    init_rc: ["android.hardware.vibrator@1.3-service.example.rc"],
+    vintf_fragments: ["android.hardware.vibrator@1.3-service.example.xml"],
+    srcs: ["service.cpp", "Vibrator.cpp"],
+    cflags: ["-Wall", "-Werror"],
+    shared_libs: [
+        "libhidlbase",
+        "libhidltransport",
+        "liblog",
+        "libutils",
+        "android.hardware.vibrator@1.0",
+        "android.hardware.vibrator@1.1",
+        "android.hardware.vibrator@1.2",
+        "android.hardware.vibrator@1.3",
+    ],
+}
diff --git a/vibrator/1.3/example/Vibrator.cpp b/vibrator/1.3/example/Vibrator.cpp
new file mode 100644
index 0000000..bb9a057
--- /dev/null
+++ b/vibrator/1.3/example/Vibrator.cpp
@@ -0,0 +1,242 @@
+/*
+ * 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 "VibratorService"
+
+#include <log/log.h>
+
+#include "Vibrator.h"
+
+namespace android {
+namespace hardware {
+namespace vibrator {
+namespace V1_3 {
+namespace implementation {
+
+static constexpr uint32_t MS_PER_S = 1000;
+static constexpr uint32_t NS_PER_MS = 1000000;
+
+Vibrator::Vibrator() {
+    sigevent se{};
+    se.sigev_notify = SIGEV_THREAD;
+    se.sigev_value.sival_ptr = this;
+    se.sigev_notify_function = timerCallback;
+    se.sigev_notify_attributes = nullptr;
+
+    if (timer_create(CLOCK_REALTIME, &se, &mTimer) < 0) {
+        ALOGE("Can not create timer!%s", strerror(errno));
+    }
+}
+
+// Methods from ::android::hardware::vibrator::V1_0::IVibrator follow.
+
+Return<Status> Vibrator::on(uint32_t timeoutMs) {
+    return activate(timeoutMs);
+}
+
+Return<Status> Vibrator::off() {
+    return activate(0);
+}
+
+Return<bool> Vibrator::supportsAmplitudeControl() {
+    return true;
+}
+
+Return<Status> Vibrator::setAmplitude(uint8_t amplitude) {
+    ALOGI("Amplitude: %u -> %u\n", mAmplitude, amplitude);
+    mAmplitude = amplitude;
+    return Status::OK;
+}
+
+Return<void> Vibrator::perform(V1_0::Effect effect, EffectStrength strength, perform_cb _hidl_cb) {
+    return perform_1_1(static_cast<V1_1::Effect_1_1>(effect), strength, _hidl_cb);
+}
+
+// Methods from ::android::hardware::vibrator::V1_1::IVibrator follow.
+
+Return<void> Vibrator::perform_1_1(V1_1::Effect_1_1 effect, EffectStrength strength,
+                                   perform_cb _hidl_cb) {
+    return perform_1_2(static_cast<V1_2::Effect>(effect), strength, _hidl_cb);
+}
+
+// Methods from ::android::hardware::vibrator::V1_2::IVibrator follow.
+
+Return<void> Vibrator::perform_1_2(Effect effect, EffectStrength strength, perform_cb _hidl_cb) {
+    uint8_t amplitude;
+    uint32_t ms;
+    Status status;
+
+    ALOGI("Perform: Effect %s\n", effectToName(effect));
+
+    amplitude = strengthToAmplitude(strength);
+    setAmplitude(amplitude);
+
+    ms = effectToMs(effect);
+    status = activate(ms);
+
+    _hidl_cb(status, ms);
+
+    return Void();
+}
+
+// Methods from ::android::hardware::vibrator::V1_3::IVibrator follow.
+
+Return<bool> Vibrator::supportsExternalControl() {
+    return true;
+}
+
+Return<Status> Vibrator::setExternalControl(bool enabled) {
+    if (mEnabled) {
+        ALOGW("Setting external control while the vibrator is enabled is unsupported!");
+        return Status::UNSUPPORTED_OPERATION;
+    } else {
+        ALOGI("ExternalControl: %s -> %s\n", mExternalControl ? "true" : "false",
+              enabled ? "true" : "false");
+        mExternalControl = enabled;
+        return Status::OK;
+    }
+}
+
+// Private methods follow.
+
+Status Vibrator::enable(bool enabled) {
+    if (mExternalControl) {
+        ALOGW("Enabling/disabling while the vibrator is externally controlled is unsupported!");
+        return Status::UNSUPPORTED_OPERATION;
+    } else {
+        ALOGI("Enabled: %s -> %s\n", mEnabled ? "true" : "false", enabled ? "true" : "false");
+        mEnabled = enabled;
+        return Status::OK;
+    }
+}
+
+Status Vibrator::activate(uint32_t ms) {
+    std::lock_guard<std::mutex> lock{mMutex};
+    Status status = Status::OK;
+
+    if (ms > 0) {
+        status = enable(true);
+        if (status != Status::OK) {
+            return status;
+        }
+    }
+
+    itimerspec ts{};
+    ts.it_value.tv_sec = ms / MS_PER_S;
+    ts.it_value.tv_nsec = ms % MS_PER_S * NS_PER_MS;
+
+    if (timer_settime(mTimer, 0, &ts, nullptr) < 0) {
+        ALOGE("Can not set timer!");
+        status = Status::UNKNOWN_ERROR;
+    }
+
+    if ((status != Status::OK) || !ms) {
+        Status _status;
+
+        _status = enable(false);
+
+        if (status == Status::OK) {
+            status = _status;
+        }
+    }
+
+    return status;
+}
+
+void Vibrator::timeout() {
+    std::lock_guard<std::mutex> lock{mMutex};
+    itimerspec ts{};
+
+    if (timer_gettime(mTimer, &ts) < 0) {
+        ALOGE("Can not read timer!");
+    }
+
+    if (ts.it_value.tv_sec == 0 && ts.it_value.tv_nsec == 0) {
+        enable(false);
+    }
+}
+
+void Vibrator::timerCallback(union sigval sigval) {
+    static_cast<Vibrator*>(sigval.sival_ptr)->timeout();
+}
+
+const char* Vibrator::effectToName(Effect effect) {
+    return toString(effect).c_str();
+}
+
+uint32_t Vibrator::effectToMs(Effect effect) {
+    switch (effect) {
+        case Effect::CLICK:
+            return 10;
+        case Effect::DOUBLE_CLICK:
+            return 15;
+        case Effect::TICK:
+            return 5;
+        case Effect::THUD:
+            return 5;
+        case Effect::POP:
+            return 5;
+        case Effect::HEAVY_CLICK:
+            return 10;
+        case Effect::RINGTONE_1:
+            return 30000;
+        case Effect::RINGTONE_2:
+            return 30000;
+        case Effect::RINGTONE_3:
+            return 30000;
+        case Effect::RINGTONE_4:
+            return 30000;
+        case Effect::RINGTONE_5:
+            return 30000;
+        case Effect::RINGTONE_6:
+            return 30000;
+        case Effect::RINGTONE_7:
+            return 30000;
+        case Effect::RINGTONE_8:
+            return 30000;
+        case Effect::RINGTONE_9:
+            return 30000;
+        case Effect::RINGTONE_10:
+            return 30000;
+        case Effect::RINGTONE_11:
+            return 30000;
+        case Effect::RINGTONE_12:
+            return 30000;
+        case Effect::RINGTONE_13:
+            return 30000;
+        case Effect::RINGTONE_14:
+            return 30000;
+        case Effect::RINGTONE_15:
+            return 30000;
+    }
+}
+
+uint8_t Vibrator::strengthToAmplitude(EffectStrength strength) {
+    switch (strength) {
+        case EffectStrength::LIGHT:
+            return 128;
+        case EffectStrength::MEDIUM:
+            return 192;
+        case EffectStrength::STRONG:
+            return 255;
+    }
+}
+
+}  // namespace implementation
+}  // namespace V1_3
+}  // namespace vibrator
+}  // namespace hardware
+}  // namespace android
diff --git a/vibrator/1.3/example/Vibrator.h b/vibrator/1.3/example/Vibrator.h
new file mode 100644
index 0000000..a931b63
--- /dev/null
+++ b/vibrator/1.3/example/Vibrator.h
@@ -0,0 +1,78 @@
+/*
+ * 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_VIBRATOR_V1_3_VIBRATOR_H
+#define ANDROID_HARDWARE_VIBRATOR_V1_3_VIBRATOR_H
+
+#include <android/hardware/vibrator/1.3/IVibrator.h>
+#include <hidl/Status.h>
+
+namespace android {
+namespace hardware {
+namespace vibrator {
+namespace V1_3 {
+namespace implementation {
+
+using android::hardware::vibrator::V1_0::EffectStrength;
+using android::hardware::vibrator::V1_0::Status;
+using android::hardware::vibrator::V1_2::Effect;
+
+class Vibrator : public IVibrator {
+  public:
+    Vibrator();
+
+    // Methods from ::android::hardware::vibrator::V1_0::IVibrator follow.
+    Return<Status> on(uint32_t timeoutMs) override;
+    Return<Status> off() override;
+    Return<bool> supportsAmplitudeControl() override;
+    Return<Status> setAmplitude(uint8_t amplitude) override;
+    Return<void> perform(V1_0::Effect effect, EffectStrength strength,
+                         perform_cb _hidl_cb) override;
+
+    // Methods from ::android::hardware::vibrator::V1_1::IVibrator follow.
+    Return<void> perform_1_1(V1_1::Effect_1_1 effect, EffectStrength strength,
+                             perform_cb _hidl_cb) override;
+
+    // Methods from ::android::hardware::vibrator::V1_2::IVibrator follow.
+    Return<void> perform_1_2(Effect effect, EffectStrength strength, perform_cb _hidl_cb) override;
+
+    // Methods from ::android::hardware::vibrator::V1_3::IVibrator follow.
+    Return<bool> supportsExternalControl() override;
+    Return<Status> setExternalControl(bool enabled) override;
+
+  private:
+    Status enable(bool enabled);
+    Status activate(uint32_t ms);
+    void timeout();
+
+    static void timerCallback(union sigval sigval);
+    static const char* effectToName(Effect effect);
+    static uint32_t effectToMs(Effect effect);
+    static uint8_t strengthToAmplitude(EffectStrength strength);
+
+  private:
+    bool mEnabled{false};
+    uint8_t mAmplitude{UINT8_MAX};
+    bool mExternalControl{false};
+    std::mutex mMutex;
+    timer_t mTimer{nullptr};
+};
+}  // namespace implementation
+}  // namespace V1_3
+}  // namespace vibrator
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_VIBRATOR_V1_3_VIBRATOR_H
diff --git a/vibrator/1.3/example/android.hardware.vibrator@1.3-service.example.rc b/vibrator/1.3/example/android.hardware.vibrator@1.3-service.example.rc
new file mode 100644
index 0000000..ed7a562
--- /dev/null
+++ b/vibrator/1.3/example/android.hardware.vibrator@1.3-service.example.rc
@@ -0,0 +1,4 @@
+service vendor.vibrator-1-3 /vendor/bin/hw/android.hardware.vibrator@1.3-service.example
+    class hal
+    user system
+    group system
diff --git a/vibrator/1.3/example/android.hardware.vibrator@1.3-service.example.xml b/vibrator/1.3/example/android.hardware.vibrator@1.3-service.example.xml
new file mode 100644
index 0000000..172aa21
--- /dev/null
+++ b/vibrator/1.3/example/android.hardware.vibrator@1.3-service.example.xml
@@ -0,0 +1,11 @@
+<manifest version="1.0" type="device">
+    <hal format="hidl">
+        <name>android.hardware.vibrator</name>
+        <transport>hwbinder</transport>
+        <version>1.3</version>
+        <interface>
+            <name>IVibrator</name>
+            <instance>default</instance>
+        </interface>
+    </hal>
+</manifest>
diff --git a/vibrator/1.3/example/service.cpp b/vibrator/1.3/example/service.cpp
new file mode 100644
index 0000000..449996e
--- /dev/null
+++ b/vibrator/1.3/example/service.cpp
@@ -0,0 +1,46 @@
+/*
+ * 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.vibrator@1.3-service.example"
+
+#include <android/hardware/vibrator/1.3/IVibrator.h>
+#include <hidl/HidlTransportSupport.h>
+
+#include "Vibrator.h"
+
+using android::hardware::configureRpcThreadpool;
+using android::hardware::joinRpcThreadpool;
+using android::hardware::vibrator::V1_3::IVibrator;
+using android::hardware::vibrator::V1_3::implementation::Vibrator;
+using namespace android;
+
+status_t registerVibratorService() {
+    sp<IVibrator> vibrator = new Vibrator();
+
+    return vibrator->registerAsService();
+}
+
+int main() {
+    configureRpcThreadpool(1, true);
+    status_t status = registerVibratorService();
+
+    if (status != OK) {
+        return status;
+    }
+
+    joinRpcThreadpool();
+
+    return 1;
+}
diff --git a/wifi/1.3/default/Android.mk b/wifi/1.3/default/Android.mk
index 8312c31..01fa934 100644
--- a/wifi/1.3/default/Android.mk
+++ b/wifi/1.3/default/Android.mk
@@ -98,6 +98,37 @@
 include $(BUILD_EXECUTABLE)
 
 ###
+### android.hardware.wifi daemon
+###
+include $(CLEAR_VARS)
+LOCAL_MODULE := android.hardware.wifi@1.0-service-lazy
+LOCAL_OVERRIDES_MODULES := android.hardware.wifi@1.0-service
+LOCAL_CFLAGS := -DLAZY_SERVICE
+LOCAL_MODULE_RELATIVE_PATH := hw
+LOCAL_PROPRIETARY_MODULE := true
+LOCAL_CPPFLAGS := -Wall -Werror -Wextra
+LOCAL_SRC_FILES := \
+    service.cpp
+LOCAL_SHARED_LIBRARIES := \
+    libbase \
+    libcutils \
+    libhidlbase \
+    libhidltransport \
+    liblog \
+    libnl \
+    libutils \
+    libwifi-hal \
+    libwifi-system-iface \
+    android.hardware.wifi@1.0 \
+    android.hardware.wifi@1.1 \
+    android.hardware.wifi@1.2 \
+    android.hardware.wifi@1.3
+LOCAL_STATIC_LIBRARIES := \
+    android.hardware.wifi@1.0-service-lib
+LOCAL_INIT_RC := android.hardware.wifi@1.0-service-lazy.rc
+include $(BUILD_EXECUTABLE)
+
+###
 ### android.hardware.wifi unit tests.
 ###
 include $(CLEAR_VARS)
diff --git a/wifi/1.3/default/android.hardware.wifi@1.0-service-lazy.rc b/wifi/1.3/default/android.hardware.wifi@1.0-service-lazy.rc
new file mode 100644
index 0000000..cf917b5
--- /dev/null
+++ b/wifi/1.3/default/android.hardware.wifi@1.0-service-lazy.rc
@@ -0,0 +1,8 @@
+service vendor.wifi_hal_legacy /vendor/bin/hw/android.hardware.wifi@1.0-service-lazy
+    interface android.hardware.wifi@1.0::IWifi default
+    oneshot
+    disabled
+    class hal
+    capabilities NET_ADMIN NET_RAW SYS_MODULE
+    user wifi
+    group wifi gps
diff --git a/wifi/1.3/default/service.cpp b/wifi/1.3/default/service.cpp
index 5fd83c1..5daf659 100644
--- a/wifi/1.3/default/service.cpp
+++ b/wifi/1.3/default/service.cpp
@@ -15,6 +15,7 @@
  */
 
 #include <android-base/logging.h>
+#include <hidl/HidlLazyUtils.h>
 #include <hidl/HidlTransportSupport.h>
 #include <utils/Looper.h>
 #include <utils/StrongPointer.h>
@@ -26,12 +27,19 @@
 
 using android::hardware::configureRpcThreadpool;
 using android::hardware::joinRpcThreadpool;
+using android::hardware::LazyServiceRegistrar;
 using android::hardware::wifi::V1_3::implementation::feature_flags::
     WifiFeatureFlags;
 using android::hardware::wifi::V1_3::implementation::legacy_hal::WifiLegacyHal;
 using android::hardware::wifi::V1_3::implementation::mode_controller::
     WifiModeController;
 
+#ifdef LAZY_SERVICE
+const bool kLazyService = true;
+#else
+const bool kLazyService = false;
+#endif
+
 int main(int /*argc*/, char** argv) {
     android::base::InitLogging(
         argv, android::base::LogdLogger(android::base::SYSTEM));
@@ -45,8 +53,14 @@
             std::make_shared<WifiLegacyHal>(),
             std::make_shared<WifiModeController>(),
             std::make_shared<WifiFeatureFlags>());
-    CHECK_EQ(service->registerAsService(), android::NO_ERROR)
-        << "Failed to register wifi HAL";
+    if (kLazyService) {
+        LazyServiceRegistrar registrar;
+        CHECK_EQ(registrar.registerService(service), android::NO_ERROR)
+            << "Failed to register wifi HAL";
+    } else {
+        CHECK_EQ(service->registerAsService(), android::NO_ERROR)
+            << "Failed to register wifi HAL";
+    }
 
     joinRpcThreadpool();