diff --git a/audio/core/all-versions/default/include/core/all-versions/default/Conversions.h b/audio/core/all-versions/default/include/core/all-versions/default/Conversions.h
index fa05350..b38eca3 100644
--- a/audio/core/all-versions/default/include/core/all-versions/default/Conversions.h
+++ b/audio/core/all-versions/default/include/core/all-versions/default/Conversions.h
@@ -30,6 +30,11 @@
 
 std::string deviceAddressToHal(const DeviceAddress& address);
 
+#ifdef AUDIO_HAL_VERSION_4_0
+bool halToMicrophoneCharacteristics(MicrophoneInfo* pDst,
+                                    const struct audio_microphone_characteristic_t& src);
+#endif
+
 }  // namespace implementation
 }  // namespace AUDIO_HAL_VERSION
 }  // namespace audio
diff --git a/audio/core/all-versions/default/include/core/all-versions/default/Conversions.impl.h b/audio/core/all-versions/default/include/core/all-versions/default/Conversions.impl.h
index 3f3f936..004a99e 100644
--- a/audio/core/all-versions/default/include/core/all-versions/default/Conversions.impl.h
+++ b/audio/core/all-versions/default/include/core/all-versions/default/Conversions.impl.h
@@ -24,6 +24,8 @@
 namespace AUDIO_HAL_VERSION {
 namespace implementation {
 
+using ::android::hardware::audio::common::AUDIO_HAL_VERSION::AudioDevice;
+
 std::string deviceAddressToHal(const DeviceAddress& address) {
     // HAL assumes that the address is NUL-terminated.
     char halAddress[AUDIO_DEVICE_MAX_ADDRESS_LEN];
@@ -54,6 +56,132 @@
     return halAddress;
 }
 
+#ifdef AUDIO_HAL_VERSION_4_0
+status_t deviceAddressFromHal(audio_devices_t device, const char* halAddress,
+                              DeviceAddress* address) {
+    if (address == nullptr) {
+        return BAD_VALUE;
+    }
+    address->device = AudioDevice(device);
+    if (halAddress == nullptr || strnlen(halAddress, AUDIO_DEVICE_MAX_ADDRESS_LEN) == 0) {
+        return OK;
+    }
+
+    const bool isInput = (device & AUDIO_DEVICE_BIT_IN) != 0;
+    if (isInput) device &= ~AUDIO_DEVICE_BIT_IN;
+    if ((!isInput && (device & AUDIO_DEVICE_OUT_ALL_A2DP) != 0) ||
+        (isInput && (device & AUDIO_DEVICE_IN_BLUETOOTH_A2DP) != 0)) {
+        int status =
+            sscanf(halAddress, "%hhX:%hhX:%hhX:%hhX:%hhX:%hhX", &address->address.mac[0],
+                   &address->address.mac[1], &address->address.mac[2], &address->address.mac[3],
+                   &address->address.mac[4], &address->address.mac[5]);
+        return status == 6 ? OK : BAD_VALUE;
+    } else if ((!isInput && (device & AUDIO_DEVICE_OUT_IP) != 0) ||
+               (isInput && (device & AUDIO_DEVICE_IN_IP) != 0)) {
+        int status =
+            sscanf(halAddress, "%hhu.%hhu.%hhu.%hhu", &address->address.ipv4[0],
+                   &address->address.ipv4[1], &address->address.ipv4[2], &address->address.ipv4[3]);
+        return status == 4 ? OK : BAD_VALUE;
+    } else if ((!isInput && (device & AUDIO_DEVICE_OUT_ALL_USB)) != 0 ||
+               (isInput && (device & AUDIO_DEVICE_IN_ALL_USB)) != 0) {
+        int status = sscanf(halAddress, "card=%d;device=%d", &address->address.alsa.card,
+                            &address->address.alsa.device);
+        return status == 2 ? OK : BAD_VALUE;
+    } else if ((!isInput && (device & AUDIO_DEVICE_OUT_BUS) != 0) ||
+               (isInput && (device & AUDIO_DEVICE_IN_BUS) != 0)) {
+        address->busAddress = halAddress;
+        return OK;
+    } else if ((!isInput && (device & AUDIO_DEVICE_OUT_REMOTE_SUBMIX)) != 0 ||
+               (isInput && (device & AUDIO_DEVICE_IN_REMOTE_SUBMIX) != 0)) {
+        address->rSubmixAddress = halAddress;
+        return OK;
+    }
+    address->busAddress = halAddress;
+    return OK;
+}
+
+AudioMicrophoneChannelMapping halToChannelMapping(audio_microphone_channel_mapping_t mapping) {
+    switch (mapping) {
+        case AUDIO_MICROPHONE_CHANNEL_MAPPING_UNUSED:
+            return AudioMicrophoneChannelMapping::UNUSED;
+        case AUDIO_MICROPHONE_CHANNEL_MAPPING_DIRECT:
+            return AudioMicrophoneChannelMapping::DIRECT;
+        case AUDIO_MICROPHONE_CHANNEL_MAPPING_PROCESSED:
+            return AudioMicrophoneChannelMapping::PROCESSED;
+    }
+}
+
+AudioMicrophoneLocation halToLocation(audio_microphone_location_t location) {
+    switch (location) {
+        default:
+        case AUDIO_MICROPHONE_LOCATION_UNKNOWN:
+            return AudioMicrophoneLocation::UNKNOWN;
+        case AUDIO_MICROPHONE_LOCATION_MAINBODY:
+            return AudioMicrophoneLocation::MAINBODY;
+        case AUDIO_MICROPHONE_LOCATION_MAINBODY_MOVABLE:
+            return AudioMicrophoneLocation::MAINBODY_MOVABLE;
+        case AUDIO_MICROPHONE_LOCATION_PERIPHERAL:
+            return AudioMicrophoneLocation::PERIPHERAL;
+    }
+}
+
+AudioMicrophoneDirectionality halToDirectionality(audio_microphone_directionality_t dir) {
+    switch (dir) {
+        default:
+        case AUDIO_MICROPHONE_DIRECTIONALITY_UNKNOWN:
+            return AudioMicrophoneDirectionality::UNKNOWN;
+        case AUDIO_MICROPHONE_DIRECTIONALITY_OMNI:
+            return AudioMicrophoneDirectionality::OMNI;
+        case AUDIO_MICROPHONE_DIRECTIONALITY_BI_DIRECTIONAL:
+            return AudioMicrophoneDirectionality::BI_DIRECTIONAL;
+        case AUDIO_MICROPHONE_DIRECTIONALITY_CARDIOID:
+            return AudioMicrophoneDirectionality::CARDIOID;
+        case AUDIO_MICROPHONE_DIRECTIONALITY_HYPER_CARDIOID:
+            return AudioMicrophoneDirectionality::HYPER_CARDIOID;
+        case AUDIO_MICROPHONE_DIRECTIONALITY_SUPER_CARDIOID:
+            return AudioMicrophoneDirectionality::SUPER_CARDIOID;
+    }
+}
+
+bool halToMicrophoneCharacteristics(MicrophoneInfo* pDst,
+                                    const struct audio_microphone_characteristic_t& src) {
+    bool status = false;
+    if (pDst != NULL) {
+        pDst->deviceId = src.device_id;
+
+        if (deviceAddressFromHal(src.device, src.address, &pDst->deviceAddress) != OK) {
+            return false;
+        }
+        pDst->channelMapping.resize(AUDIO_CHANNEL_COUNT_MAX);
+        for (size_t ch = 0; ch < pDst->channelMapping.size(); ch++) {
+            pDst->channelMapping[ch] = halToChannelMapping(src.channel_mapping[ch]);
+        }
+        pDst->location = halToLocation(src.location);
+        pDst->group = (AudioMicrophoneGroup)src.group;
+        pDst->indexInTheGroup = (uint32_t)src.index_in_the_group;
+        pDst->sensitivity = src.sensitivity;
+        pDst->maxSpl = src.max_spl;
+        pDst->minSpl = src.min_spl;
+        pDst->directionality = halToDirectionality(src.directionality);
+        pDst->frequencyResponse.resize(src.num_frequency_responses);
+        for (size_t k = 0; k < src.num_frequency_responses; k++) {
+            pDst->frequencyResponse[k].frequency = src.frequency_responses[0][k];
+            pDst->frequencyResponse[k].level = src.frequency_responses[1][k];
+        }
+        pDst->position.x = src.geometric_location.x;
+        pDst->position.y = src.geometric_location.y;
+        pDst->position.z = src.geometric_location.z;
+
+        pDst->orientation.x = src.orientation.x;
+        pDst->orientation.y = src.orientation.y;
+        pDst->orientation.z = src.orientation.z;
+
+        status = true;
+    }
+    return status;
+}
+#endif
+
 }  // namespace implementation
 }  // namespace AUDIO_HAL_VERSION
 }  // namespace audio
diff --git a/audio/core/all-versions/default/include/core/all-versions/default/Device.impl.h b/audio/core/all-versions/default/include/core/all-versions/default/Device.impl.h
index fb4b686..581e1dc 100644
--- a/audio/core/all-versions/default/include/core/all-versions/default/Device.impl.h
+++ b/audio/core/all-versions/default/include/core/all-versions/default/Device.impl.h
@@ -332,8 +332,20 @@
 
 #ifdef AUDIO_HAL_VERSION_4_0
 Return<void> Device::getMicrophones(getMicrophones_cb _hidl_cb) {
-    // TODO return device microphones
-    _hidl_cb(Result::NOT_SUPPORTED, {});
+    Result retval = Result::NOT_SUPPORTED;
+    size_t actual_mics = AUDIO_MICROPHONE_MAX_COUNT;
+    audio_microphone_characteristic_t mic_array[AUDIO_MICROPHONE_MAX_COUNT];
+
+    hidl_vec<MicrophoneInfo> microphones;
+    if (mDevice->get_microphones != NULL &&
+        mDevice->get_microphones(mDevice, &mic_array[0], &actual_mics) == 0) {
+        microphones.resize(actual_mics);
+        for (size_t i = 0; i < actual_mics; ++i) {
+            halToMicrophoneCharacteristics(&microphones[i], mic_array[i]);
+        }
+        retval = Result::OK;
+    }
+    _hidl_cb(retval, microphones);
     return Void();
 }
 
diff --git a/audio/core/all-versions/default/include/core/all-versions/default/StreamIn.impl.h b/audio/core/all-versions/default/include/core/all-versions/default/StreamIn.impl.h
index dcd3df1..c03b055 100644
--- a/audio/core/all-versions/default/include/core/all-versions/default/StreamIn.impl.h
+++ b/audio/core/all-versions/default/include/core/all-versions/default/StreamIn.impl.h
@@ -26,6 +26,8 @@
 
 using ::android::hardware::audio::AUDIO_HAL_VERSION::MessageQueueFlagBits;
 using ::android::hardware::audio::all_versions::implementation::isGainNormalized;
+#include "Conversions.h"
+#include "Util.h"
 
 namespace android {
 namespace hardware {
@@ -454,7 +456,21 @@
 }
 
 Return<void> StreamIn::getActiveMicrophones(getActiveMicrophones_cb _hidl_cb) {
-    _hidl_cb(Result::NOT_SUPPORTED, {});  // TODO: retrieve from legacy
+    Result retval = Result::NOT_SUPPORTED;
+    size_t actual_mics = AUDIO_MICROPHONE_MAX_COUNT;
+    audio_microphone_characteristic_t mic_array[AUDIO_MICROPHONE_MAX_COUNT];
+
+    hidl_vec<MicrophoneInfo> microphones;
+    if (mStream->get_active_microphones != NULL &&
+        mStream->get_active_microphones(mStream, &mic_array[0], &actual_mics) == 0) {
+        microphones.resize(actual_mics);
+        for (size_t i = 0; i < actual_mics; ++i) {
+            halToMicrophoneCharacteristics(&microphones[i], mic_array[i]);
+        }
+        retval = Result::OK;
+    }
+
+    _hidl_cb(retval, microphones);
     return Void();
 }
 #endif
diff --git a/audio/effect/4.0/xml/audio_effects_conf_V4_0.xsd b/audio/effect/4.0/xml/audio_effects_conf_V4_0.xsd
new file mode 120000
index 0000000..82d569a
--- /dev/null
+++ b/audio/effect/4.0/xml/audio_effects_conf_V4_0.xsd
@@ -0,0 +1 @@
+../../2.0/xml/audio_effects_conf_V2_0.xsd
\ No newline at end of file
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 e54de00..e05b333 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
@@ -46,18 +46,35 @@
  *
  * It has the following format:
  *
- * int32Values[0] - command (1 - start fake data generation, 0 - stop)
+ * int32Values[0] - command (see FakeDataCommand below for possible values)
  * int32Values[1] - VehicleProperty to which command applies
- *
- * For start command, additional data should be provided:
- *   int64Values[0] - periodic interval in nanoseconds
- *   floatValues[0] - initial value
- *   floatValues[1] - dispersion defines min and max range relative to initial value
- *   floatValues[2] - increment, with every timer tick the value will be incremented by this amount
  */
 const int32_t kGenerateFakeDataControllingProperty =
     0x0666 | VehiclePropertyGroup::VENDOR | VehicleArea::GLOBAL | VehiclePropertyType::MIXED;
 
+enum class FakeDataCommand : int32_t {
+    /** Stops generating of fake data that was triggered by Start command */
+    Stop = 0,
+
+    /**
+     * Starts fake data generation.  Caller must provide additional data:
+     *     int64Values[0] - periodic interval in nanoseconds
+     *     floatValues[0] - initial value
+     *     floatValues[1] - dispersion defines min and max range relative to initial value
+     *     floatValues[2] - increment, with every timer tick the value will be incremented by this
+     * amount
+     */
+    Start = 1,
+
+    /**
+     * Injects key press event (HAL incorporates UP/DOWN acction and triggers 2 HAL events for every
+     * key-press). Caller must provide the following data: int32Values[2] - Android key code
+     *     int32Values[3] - target display (0 - for main display, 1 - for instrument cluster, see
+     * VehicleDisplay)
+     */
+    KeyPress = 2,
+};
+
 const int32_t kHvacPowerProperties[] = {
     toInt(VehicleProperty::HVAC_FAN_SPEED),
     toInt(VehicleProperty::HVAC_FAN_DIRECTION),
diff --git a/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.cpp b/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.cpp
index 9fa7f2b..3979ac2 100644
--- a/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.cpp
+++ b/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.cpp
@@ -85,11 +85,6 @@
     return sensorStore;
 }
 
-enum class FakeDataCommand : int32_t {
-    Stop = 0,
-    Start = 1,
-};
-
 EmulatedVehicleHal::EmulatedVehicleHal(VehiclePropertyStore* propStore)
     : mPropStore(propStore),
       mHvacPowerProps(std::begin(kHvacPowerProperties), std::end(kHvacPowerProperties)),
@@ -366,10 +361,20 @@
             break;
         }
         case FakeDataCommand::Stop: {
-            ALOGI("%s, FakeDataCommandStop", __func__);
+            ALOGI("%s, FakeDataCommand::Stop", __func__);
             mFakeValueGenerator.stopGeneratingHalEvents(propId);
             break;
         }
+        case FakeDataCommand::KeyPress: {
+            ALOGI("%s, FakeDataCommand::KeyPress", __func__);
+            int32_t keyCode = request.value.int32Values[2];
+            int32_t display = request.value.int32Values[3];
+            doHalEvent(
+                createHwInputKeyProp(VehicleHwKeyInputAction::ACTION_DOWN, keyCode, display));
+            doHalEvent(createHwInputKeyProp(VehicleHwKeyInputAction::ACTION_UP, keyCode, display));
+            break;
+        }
+
         default: {
             ALOGE("%s: unexpected command: %d", __func__, command);
             return StatusCode::INVALID_ARG;
@@ -378,6 +383,19 @@
     return StatusCode::OK;
 }
 
+VehicleHal::VehiclePropValuePtr EmulatedVehicleHal::createHwInputKeyProp(
+    VehicleHwKeyInputAction action, int32_t keyCode, int32_t targetDisplay) {
+    auto keyEvent = getValuePool()->obtain(VehiclePropertyType::INT32_VEC, 3);
+    keyEvent->prop = toInt(VehicleProperty::HW_KEY_INPUT);
+    keyEvent->areaId = 0;
+    keyEvent->timestamp = elapsedRealtimeNano();
+    keyEvent->status = VehiclePropertyStatus::AVAILABLE;
+    keyEvent->value.int32Values[0] = toInt(action);
+    keyEvent->value.int32Values[1] = keyCode;
+    keyEvent->value.int32Values[2] = targetDisplay;
+    return keyEvent;
+}
+
 void EmulatedVehicleHal::onFakeValueGenerated(int32_t propId, float value) {
     static constexpr bool shouldUpdateStatus = false;
 
diff --git a/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.h b/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.h
index 62fc126..d291dba 100644
--- a/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.h
+++ b/automotive/vehicle/2.0/default/impl/vhal_v2_0/EmulatedVehicleHal.h
@@ -67,6 +67,8 @@
 
     StatusCode handleGenerateFakeDataRequest(const VehiclePropValue& request);
     void onFakeValueGenerated(int32_t propId, float value);
+    VehiclePropValuePtr createHwInputKeyProp(VehicleHwKeyInputAction action, int32_t keyCode,
+                                             int32_t targetDisplay);
 
     void onContinuousPropertyTimer(const std::vector<int32_t>& properties);
     bool isContinuousProperty(int32_t propId) const;
diff --git a/bluetooth/1.0/default/android.hardware.bluetooth@1.0-service.rc b/bluetooth/1.0/default/android.hardware.bluetooth@1.0-service.rc
index 5a01ecc..a634441 100644
--- a/bluetooth/1.0/default/android.hardware.bluetooth@1.0-service.rc
+++ b/bluetooth/1.0/default/android.hardware.bluetooth@1.0-service.rc
@@ -1,6 +1,6 @@
 service vendor.bluetooth-1-0 /vendor/bin/hw/android.hardware.bluetooth@1.0-service
     class hal
-    capabilities NET_ADMIN SYS_NICE
+    capabilities BLOCK_SUSPEND NET_ADMIN SYS_NICE
     user bluetooth
     group bluetooth
     writepid /dev/stune/foreground/tasks
diff --git a/broadcastradio/1.1/default/Tuner.cpp b/broadcastradio/1.1/default/Tuner.cpp
index ae01879..4b49b59 100644
--- a/broadcastradio/1.1/default/Tuner.cpp
+++ b/broadcastradio/1.1/default/Tuner.cpp
@@ -86,6 +86,7 @@
 
     mIsAmfmConfigSet = true;
     mCallback->configChange(Result::OK, mAmfmConfig);
+    if (mCallback1_1 != nullptr) mCallback1_1->programListChanged();
 }
 
 bool Tuner::autoConfigureLocked(uint64_t frequency) {
diff --git a/camera/metadata/3.3/types.hal b/camera/metadata/3.3/types.hal
index 0535be1..04edfe9 100644
--- a/camera/metadata/3.3/types.hal
+++ b/camera/metadata/3.3/types.hal
@@ -230,6 +230,7 @@
         @3.2::CameraMetadataEnumAndroidRequestAvailableCapabilities {
     ANDROID_REQUEST_AVAILABLE_CAPABILITIES_MOTION_TRACKING,
     ANDROID_REQUEST_AVAILABLE_CAPABILITIES_LOGICAL_MULTI_CAMERA,
+    ANDROID_REQUEST_AVAILABLE_CAPABILITIES_MONOCHROME,
 };
 
 /** android.statistics.oisDataMode enumeration values
diff --git a/compatibility_matrices/Android.mk b/compatibility_matrices/Android.mk
index 71253da..23be7de 100644
--- a/compatibility_matrices/Android.mk
+++ b/compatibility_matrices/Android.mk
@@ -21,6 +21,8 @@
 # Clear potential input variables to BUILD_FRAMEWORK_COMPATIBILITY_MATRIX
 LOCAL_ADD_VBMETA_VERSION :=
 LOCAL_ASSEMBLE_VINTF_ENV_VARS :=
+LOCAL_ASSEMBLE_VINTF_ENV_VARS_OVERRIDE :=
+LOCAL_ASSEMBLE_VINTF_ERROR_MESSAGE :=
 LOCAL_ASSEMBLE_VINTF_FLAGS :=
 LOCAL_KERNEL_VERSIONS :=
 LOCAL_GEN_FILE_DEPENDENCIES :=
@@ -29,18 +31,21 @@
 
 
 include $(CLEAR_VARS)
+LOCAL_MODULE := framework_compatibility_matrix.legacy.xml
 LOCAL_MODULE_STEM := compatibility_matrix.legacy.xml
 LOCAL_SRC_FILES := $(LOCAL_MODULE_STEM)
 LOCAL_KERNEL_VERSIONS := 3.18.0 4.4.0 4.9.0
 include $(BUILD_FRAMEWORK_COMPATIBILITY_MATRIX)
 
 include $(CLEAR_VARS)
+LOCAL_MODULE := framework_compatibility_matrix.1.xml
 LOCAL_MODULE_STEM := compatibility_matrix.1.xml
 LOCAL_SRC_FILES := $(LOCAL_MODULE_STEM)
 LOCAL_KERNEL_VERSIONS := 3.18.0 4.4.0 4.9.0
 include $(BUILD_FRAMEWORK_COMPATIBILITY_MATRIX)
 
 include $(CLEAR_VARS)
+LOCAL_MODULE := framework_compatibility_matrix.2.xml
 LOCAL_MODULE_STEM := compatibility_matrix.2.xml
 LOCAL_SRC_FILES := $(LOCAL_MODULE_STEM)
 LOCAL_KERNEL_VERSIONS := 3.18.0 4.4.0 4.9.0
@@ -49,6 +54,7 @@
 # TODO(b/72409164): STOPSHIP: update kernel version requirements
 
 include $(CLEAR_VARS)
+LOCAL_MODULE := framework_compatibility_matrix.current.xml
 LOCAL_MODULE_STEM := compatibility_matrix.current.xml
 LOCAL_SRC_FILES := $(LOCAL_MODULE_STEM)
 LOCAL_KERNEL_VERSIONS := 4.4.0 4.9.0
@@ -57,14 +63,47 @@
 # Framework Compatibility Matrix (common to all FCM versions)
 
 include $(CLEAR_VARS)
-LOCAL_MODULE_STEM := compatibility_matrix.empty.xml
-LOCAL_SRC_FILES := $(LOCAL_MODULE_STEM)
+LOCAL_MODULE := framework_compatibility_matrix.device.xml
+LOCAL_MODULE_STEM := compatibility_matrix.device.xml
+# define LOCAL_MODULE_CLASS for local-generated-sources-dir.
+LOCAL_MODULE_CLASS := ETC
+
+ifndef DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE
+LOCAL_SRC_FILES := compatibility_matrix.empty.xml
+else
+
+# DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE specify an absolute path
+LOCAL_GENERATED_SOURCES := $(DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE)
+
+# Enforce that DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE does not specify required HALs
+# by checking it against an empty manifest. But the empty manifest needs to contain
+# BOARD_SEPOLICY_VERS to be compatible with DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE.
+my_manifest_src_file := $(LOCAL_PATH)/manifest.empty.xml
+my_gen_check_manifest := $(local-generated-sources-dir)/manifest.check.xml
+$(my_gen_check_manifest): PRIVATE_SRC_FILE := $(my_manifest_src_file)
+$(my_gen_check_manifest): $(my_manifest_src_file) $(HOST_OUT_EXECUTABLES)/assemble_vintf
+	BOARD_SEPOLICY_VERS=$(BOARD_SEPOLICY_VERS) \
+	VINTF_IGNORE_TARGET_FCM_VERSION=true \
+		$(HOST_OUT_EXECUTABLES)/assemble_vintf -i $(PRIVATE_SRC_FILE) -o $@
+
+LOCAL_GEN_FILE_DEPENDENCIES += $(my_gen_check_manifest)
+LOCAL_ASSEMBLE_VINTF_FLAGS += -c "$(my_gen_check_manifest)"
+
+my_gen_check_manifest :=
+my_manifest_src_file :=
+
+endif # DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE
+
 LOCAL_ADD_VBMETA_VERSION := true
 LOCAL_ASSEMBLE_VINTF_ENV_VARS := \
     POLICYVERS \
     PLATFORM_SEPOLICY_VERSION \
     PLATFORM_SEPOLICY_COMPAT_VERSIONS
 
+LOCAL_ASSEMBLE_VINTF_ENV_VARS_OVERRIDE := PRODUCT_ENFORCE_VINTF_MANIFEST=true
+LOCAL_ASSEMBLE_VINTF_ERROR_MESSAGE := \
+    "Error: DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX cannot contain required HALs."
+
 include $(BUILD_FRAMEWORK_COMPATIBILITY_MATRIX)
 
 # Framework Compatibility Matrix
@@ -78,7 +117,7 @@
     framework_compatibility_matrix.1.xml \
     framework_compatibility_matrix.2.xml \
     framework_compatibility_matrix.current.xml \
-    framework_compatibility_matrix.empty.xml
+    framework_compatibility_matrix.device.xml
 LOCAL_GENERATED_SOURCES := $(call module-installed-files,$(LOCAL_REQUIRED_MODULES))
 
 ifdef BUILT_VENDOR_MANIFEST
@@ -88,6 +127,14 @@
 
 LOCAL_ASSEMBLE_VINTF_ENV_VARS := PRODUCT_ENFORCE_VINTF_MANIFEST
 
+# TODO(b/65028233): Enforce no "unused HALs" for devices that does not define
+# DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE as well
+ifeq (true,$(strip $(PRODUCT_ENFORCE_VINTF_MANIFEST)))
+ifdef DEVICE_FRAMEWORK_COMPATIBILITY_MATRIX_FILE
+LOCAL_ASSEMBLE_VINTF_ENV_VARS_OVERRIDE := VINTF_ENFORCE_NO_UNUSED_HALS=true
+endif
+endif
+
 include $(BUILD_FRAMEWORK_COMPATIBILITY_MATRIX)
 BUILT_SYSTEM_COMPATIBILITY_MATRIX := $(LOCAL_BUILT_MODULE)
 
diff --git a/compatibility_matrices/compatibility_matrix.current.xml b/compatibility_matrices/compatibility_matrix.current.xml
index 370ffdd..ecf60f0 100644
--- a/compatibility_matrices/compatibility_matrix.current.xml
+++ b/compatibility_matrices/compatibility_matrix.current.xml
@@ -56,6 +56,14 @@
         </interface>
     </hal>
     <hal format="hidl" optional="true">
+        <name>android.hardware.bluetooth.a2dp</name>
+        <version>1.0</version>
+        <interface>
+            <name>IBluetoothAudioOffload</name>
+            <instance>default</instance>
+        </interface>
+    </hal>
+    <hal format="hidl" optional="true">
         <name>android.hardware.boot</name>
         <version>1.0</version>
         <interface>
@@ -76,7 +84,7 @@
         <version>2.4</version>
         <interface>
             <name>ICameraProvider</name>
-            <instance>legacy/0</instance>
+            <regex-instance>[^/]+/[0-9]+</regex-instance>
         </interface>
     </hal>
     <hal format="hidl" optional="true">
@@ -103,16 +111,28 @@
             <instance>default</instance>
         </interface>
     </hal>
-    <hal format="hidl" optional="false">
+    <hal format="hidl" optional="true">
         <name>android.hardware.drm</name>
         <version>1.0</version>
         <interface>
             <name>ICryptoFactory</name>
-            <instance>default</instance>
+            <regex-instance>.*</regex-instance>
         </interface>
         <interface>
             <name>IDrmFactory</name>
-            <instance>default</instance>
+            <regex-instance>.*</regex-instance>
+        </interface>
+    </hal>
+    <hal format="hidl" optional="false">
+        <name>android.hardware.drm</name>
+        <version>1.1</version>
+        <interface>
+            <name>ICryptoFactory</name>
+            <regex-instance>.*</regex-instance>
+        </interface>
+        <interface>
+            <name>IDrmFactory</name>
+            <regex-instance>.*</regex-instance>
         </interface>
     </hal>
     <hal format="hidl" optional="true">
@@ -133,7 +153,7 @@
     </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.gnss</name>
-        <version>1.0</version>
+        <version>1.0-1</version>
         <interface>
             <name>IGnss</name>
             <instance>default</instance>
@@ -225,13 +245,12 @@
         <version>1.0</version>
         <interface>
             <name>IDevice</name>
-            <!-- TODO(b/73738616): This should be * (match any) -->
-            <instance>hvx</instance>
+            <regex-instance>.*</regex-instance>
         </interface>
     </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.nfc</name>
-        <version>1.0</version>
+        <version>1.0-1</version>
         <interface>
             <name>INfc</name>
             <instance>default</instance>
@@ -258,11 +277,11 @@
         <version>1.0-1</version>
         <interface>
             <name>IRadio</name>
-            <instance>slot1</instance>
+            <regex-instance>slot[0-9]+</regex-instance>
         </interface>
         <interface>
             <name>ISap</name>
-            <instance>slot1</instance>
+            <regex-instance>slot[0-9]+</regex-instance>
         </interface>
     </hal>
     <hal format="hidl" optional="true">
diff --git a/compatibility_matrices/compatibility_matrix.mk b/compatibility_matrices/compatibility_matrix.mk
index 96815b8..6dc2b4f 100644
--- a/compatibility_matrices/compatibility_matrix.mk
+++ b/compatibility_matrices/compatibility_matrix.mk
@@ -25,12 +25,38 @@
 
 # $(warning $(call remove-minor-revision,3.18.0))
 
-ifndef LOCAL_MODULE_STEM
-$(error LOCAL_MODULE_STEM must be defined.)
+##### Input Variables:
+# LOCAL_MODULE: required. Module name for the build system.
+# LOCAL_MODULE_CLASS: optional. Default is ETC.
+# LOCAL_MODULE_PATH: optional. Path of output file. Default is $(TARGET_OUT)/etc/vintf.
+# LOCAL_MODULE_STEM: optional. Name of output file. Default is $(LOCAL_MODULE).
+# LOCAL_SRC_FILES: required. Local source files provided to assemble_vintf
+#       (command line argument -i).
+# LOCAL_GENERATED_SOURCES: optional. Global source files provided to assemble_vintf
+#       (command line argument -i).
+#
+# LOCAL_ADD_VBMETA_VERSION: Use AVBTOOL to add avb version to the output matrix
+#       (corresponds to <avb><vbmeta-version> tag)
+# LOCAL_ASSEMBLE_VINTF_ENV_VARS: Add a list of environment variable names from global variables in
+#       the build system that is lazily evaluated (e.g. PRODUCT_ENFORCE_VINTF_MANIFEST).
+# LOCAL_ASSEMBLE_VINTF_ENV_VARS_OVERRIDE: Add a list of environment variables that is local to
+#       assemble_vintf invocation. Format is "VINTF_ENFORCE_NO_UNUSED_HALS=true".
+# LOCAL_ASSEMBLE_VINTF_FLAGS: Add additional command line arguments to assemble_vintf invocation.
+# LOCAL_KERNEL_VERSIONS: Parse kernel configurations and add to the output matrix
+#       (corresponds to <kernel> tags.)
+# LOCAL_GEN_FILE_DEPENDENCIES: A list of additional dependencies for the generated file.
+
+ifndef LOCAL_MODULE
+$(error LOCAL_MODULE must be defined.)
 endif
 
-LOCAL_MODULE := framework_$(LOCAL_MODULE_STEM)
+ifndef LOCAL_MODULE_STEM
+LOCAL_MODULE_STEM := $(LOCAL_MODULE)
+endif
+
+ifndef LOCAL_MODULE_CLASS
 LOCAL_MODULE_CLASS := ETC
+endif
 
 ifndef LOCAL_MODULE_PATH
 LOCAL_MODULE_PATH := $(TARGET_OUT)/etc/vintf
@@ -76,13 +102,23 @@
 	$(addprefix $(LOCAL_PATH)/,$(LOCAL_SRC_FILES)) \
 	$(LOCAL_GENERATED_SOURCES)
 
+$(GEN): PRIVATE_ADDITIONAL_ENV_VARS := $(LOCAL_ASSEMBLE_VINTF_ENV_VARS_OVERRIDE)
+
+ifneq (,$(strip $(LOCAL_ASSEMBLE_VINTF_ERROR_MESSAGE)))
+$(GEN): PRIVATE_COMMAND_TAIL := || (echo $(strip $(LOCAL_ASSEMBLE_VINTF_ERROR_MESSAGE)) && false)
+endif
+
 $(GEN): PRIVATE_SRC_FILES := $(my_matrix_src_files)
 $(GEN): $(my_matrix_src_files) $(HOST_OUT_EXECUTABLES)/assemble_vintf
+	$(foreach varname,$(PRIVATE_ENV_VARS),\
+		$(if $(findstring $(varname),$(PRIVATE_ADDITIONAL_ENV_VARS)),\
+			$(error $(varname) should not be overridden by LOCAL_ASSEMBLE_VINTF_ENV_VARS_OVERRIDE.)))
 	$(foreach varname,$(PRIVATE_ENV_VARS),$(varname)="$($(varname))") \
+		$(PRIVATE_ADDITIONAL_ENV_VARS) \
 		$(HOST_OUT_EXECUTABLES)/assemble_vintf \
 		-i $(call normalize-path-list,$(PRIVATE_SRC_FILES)) \
 		-o $@ \
-		$(PRIVATE_FLAGS)
+		$(PRIVATE_FLAGS) $(PRIVATE_COMMAND_TAIL)
 
 LOCAL_PREBUILT_MODULE_FILE := $(GEN)
 LOCAL_SRC_FILES :=
@@ -90,6 +126,8 @@
 
 LOCAL_ADD_VBMETA_VERSION :=
 LOCAL_ASSEMBLE_VINTF_ENV_VARS :=
+LOCAL_ASSEMBLE_VINTF_ENV_VARS_OVERRIDE :=
+LOCAL_ASSEMBLE_VINTF_ERROR_MESSAGE :=
 LOCAL_ASSEMBLE_VINTF_FLAGS :=
 LOCAL_KERNEL_VERSIONS :=
 LOCAL_GEN_FILE_DEPENDENCIES :=
diff --git a/compatibility_matrices/manifest.empty.xml b/compatibility_matrices/manifest.empty.xml
new file mode 100644
index 0000000..e50e0e5
--- /dev/null
+++ b/compatibility_matrices/manifest.empty.xml
@@ -0,0 +1 @@
+<manifest version="1.0" type="device" />
diff --git a/current.txt b/current.txt
index 69ad1ed..7771fe8 100644
--- a/current.txt
+++ b/current.txt
@@ -256,6 +256,7 @@
 fb92e2b40f8e9d494e8fd3b4ac18499a3216342e7cff160714c3bbf3660b6e79 android.hardware.gnss@1.0::IGnssConfiguration
 251594ea9b27447bfa005ebd806e58fb0ae4aad84a69938129c9800ec0c64eda android.hardware.gnss@1.0::IGnssMeasurementCallback
 4e7169919d24fbe5573e5bcd683d0bd7abf553a4e6c34c41f9dfc1e12050db07 android.hardware.gnss@1.0::IGnssNavigationMessageCallback
+08ae9fc24f21f809e9b8501dfbc803662fcd6a8d8e1fb71d9dd7c0c4c6f5d556 android.hardware.neuralnetworks@1.0::types
 d4840db8efabdf1e4b344fc981cd36e5fe81a39aff6e199f6d06c1c8da413efd android.hardware.radio@1.0::types
 b280c4704dfcc548a9bf127b59b7c3578f460c50cce70a06b66fe0df8b27cff0 android.hardware.wifi@1.0::types
 
@@ -307,7 +308,7 @@
 4fb0725c36ed4f77a42b42e3f18d8b5f7919cb62b90098b23143a555aa7dd96d android.hardware.camera.device@3.4::ICameraDeviceCallback
 812fa66aa10ba0cba27cfddc2fd7f0ee27a8ab65a1f15aa79fdad97d403e6a14 android.hardware.camera.device@3.4::ICameraDeviceSession
 cc288f1f78d1e643eb3d3dbc16e1401d44033d8e6856761f5156814a29986ec7 android.hardware.camera.device@3.4::types
-71ee1f46dac4df417d2950e4de760e4145038ae363fc11aeea487350bf603897 android.hardware.camera.metadata@3.3::types
+f9278c8beb9d42d96e26d73ecabe1dff1d7e2fb301ab7f737d93e5ffae8d3312 android.hardware.camera.metadata@3.3::types
 1a46aeae45b7a0e47f79b7207300532986f9d9cd7060779afc7a529f54d712ab android.hardware.confirmationui@1.0::IConfirmationResultCallback
 6d8347ff3cd7de471065ac3e8e68385073630cdeebe9f8fa58cb91cf44436c95 android.hardware.confirmationui@1.0::IConfirmationUI
 a3ff916784dce87a56c757ab5c86433f0cdf562280999a5f978a6e8a0f3f19e7 android.hardware.confirmationui@1.0::types
@@ -328,7 +329,7 @@
 434c4c32c00b0e54bb05e40c79503208b40f786a318029a2a4f66e34f10f2a76 android.hardware.health@2.0::IHealthInfoCallback
 c9e498f1ade5e26f00d290b4763a9671ec6720f915e7d592844b62e8cb1f9b5c android.hardware.health@2.0::types
 a6cf986593c6ad15fe2ae3a1995d2cae233500bc32c055912a42723bdc076868 android.hardware.keymaster@4.0::IKeymasterDevice
-3ce01f7a38013f15d2ffc9c66a81eb85061ab6585fb1e659fe6da36bdcbfa9cf android.hardware.keymaster@4.0::types
+e15ebdf1e0a326ff5b8a59668d4d8cd3852bd88388eae91de13f5f7e1af50ed1 android.hardware.keymaster@4.0::types
 6d5c646a83538f0f9d8438c259932509f4353410c6c76e56db0d6ca98b69c3bb android.hardware.media.bufferpool@1.0::IAccessor
 b8c7ed58aa8740361e63d0ce9e7c94227572a629f356958840b34809d2393a7c android.hardware.media.bufferpool@1.0::IClientManager
 4a2c0dc82780e6c90731725a103feab8ab6ecf85a64e049b9cbd2b2c61620fe1 android.hardware.media.bufferpool@1.0::IConnection
@@ -369,4 +370,6 @@
 ee08280de21cb41e3ec26d6ed636c701b7f70516e71fb22f4fe60a13e603f406 android.hardware.wifi.hostapd@1.0::IHostapd
 b2479cd7a417a1cf4f3a22db4e4579e21bac38fdcaf381e2bf10176d05397e01 android.hardware.wifi.hostapd@1.0::types
 e362203b941f18bd4cba29a62adfa02453ed00d6be5b72cdb6c4d7e0bf394a40 android.hardware.wifi.supplicant@1.1::ISupplicant
+21757d0e5dd4b7e4bd981a4a20531bca3c32271ad9777b17b74eb5a1ea508384 android.hardware.wifi.supplicant@1.1::ISupplicantStaIface
+cd4330c3196bda1d642a32abfe23a7d64ebfbda721940643af6867af3b3f0aa9 android.hardware.wifi.supplicant@1.1::ISupplicantStaIfaceCallback
 10ff2fae516346b86121368ce5790d5accdfcb73983246b813f3d488b66db45a android.hardware.wifi.supplicant@1.1::ISupplicantStaNetwork
diff --git a/drm/1.1/vts/functional/drm_hal_clearkey_test.cpp b/drm/1.1/vts/functional/drm_hal_clearkey_test.cpp
index 061f2cd..1246616 100644
--- a/drm/1.1/vts/functional/drm_hal_clearkey_test.cpp
+++ b/drm/1.1/vts/functional/drm_hal_clearkey_test.cpp
@@ -43,7 +43,6 @@
 using ::android::hardware::drm::V1_0::ICryptoPlugin;
 using ::android::hardware::drm::V1_0::KeyedVector;
 using ::android::hardware::drm::V1_0::KeyValue;
-using ::android::hardware::drm::V1_0::KeyRequestType;
 using ::android::hardware::drm::V1_0::KeyType;
 using ::android::hardware::drm::V1_0::Mode;
 using ::android::hardware::drm::V1_0::Pattern;
@@ -60,6 +59,8 @@
 using ::android::hardware::drm::V1_1::ICryptoFactory;
 using ::android::hardware::drm::V1_1::IDrmFactory;
 using ::android::hardware::drm::V1_1::IDrmPlugin;
+using ::android::hardware::drm::V1_1::KeyRequestType;
+using ::android::hardware::drm::V1_1::SecureStopRelease;
 using ::android::hardware::drm::V1_1::SecurityLevel;
 using ::android::hardware::drm::V1_1::SecurityLevel;
 
@@ -167,7 +168,6 @@
     SessionId openSession(SecurityLevel level);
     void closeSession(const SessionId& sessionId);
     hidl_vec<uint8_t> loadKeys(const SessionId& sessionId, const KeyType& type);
-    sp<IMemory> getDecryptMemory(size_t size, size_t index);
 
   private:
     sp<IDrmPlugin> createDrmPlugin(sp<IDrmFactory> drmFactory) {
@@ -308,6 +308,125 @@
 }
 
 /**
+ * Helper method to load keys for subsequent decrypt tests.
+ * These tests use predetermined key request/response to
+ * avoid requiring a round trip to a license server.
+ */
+hidl_vec<uint8_t> DrmHalClearkeyTest::loadKeys(
+    const SessionId& sessionId, const KeyType& type = KeyType::STREAMING) {
+    hidl_vec<uint8_t> initData = {
+        // BMFF box header (4 bytes size + 'pssh')
+        0x00, 0x00, 0x00, 0x34, 0x70, 0x73, 0x73, 0x68,
+        // full box header (version = 1 flags = 0)
+        0x01, 0x00, 0x00, 0x00,
+        // system id
+        0x10, 0x77, 0xef, 0xec, 0xc0, 0xb2, 0x4d, 0x02, 0xac, 0xe3, 0x3c,
+        0x1e, 0x52, 0xe2, 0xfb, 0x4b,
+        // number of key ids
+        0x00, 0x00, 0x00, 0x01,
+        // key id
+        0x60, 0x06, 0x1e, 0x01, 0x7e, 0x47, 0x7e, 0x87, 0x7e, 0x57, 0xd0,
+        0x0d, 0x1e, 0xd0, 0x0d, 0x1e,
+        // size of data, must be zero
+        0x00, 0x00, 0x00, 0x00};
+
+    hidl_vec<uint8_t> expectedKeyRequest = {
+        0x7b, 0x22, 0x6b, 0x69, 0x64, 0x73, 0x22, 0x3a, 0x5b, 0x22, 0x59, 0x41, 0x59, 0x65,
+        0x41, 0x58, 0x35, 0x48, 0x66, 0x6f, 0x64, 0x2d, 0x56, 0x39, 0x41, 0x4e, 0x48, 0x74,
+        0x41, 0x4e, 0x48, 0x67, 0x22, 0x5d, 0x2c, 0x22, 0x74, 0x79, 0x70, 0x65, 0x22, 0x3a,
+        0x22, 0x74, 0x65, 0x6d, 0x70, 0x6f, 0x72, 0x61, 0x72, 0x79, 0x22, 0x7d};
+
+    hidl_vec<uint8_t> knownKeyResponse = {
+        0x7b, 0x22, 0x6b, 0x65, 0x79, 0x73, 0x22, 0x3a, 0x5b, 0x7b, 0x22, 0x6b, 0x74, 0x79, 0x22,
+        0x3a, 0x22, 0x6f, 0x63, 0x74, 0x22, 0x2c, 0x22, 0x6b, 0x69, 0x64, 0x22, 0x3a, 0x22, 0x59,
+        0x41, 0x59, 0x65, 0x41, 0x58, 0x35, 0x48, 0x66, 0x6f, 0x64, 0x2d, 0x56, 0x39, 0x41, 0x4e,
+        0x48, 0x74, 0x41, 0x4e, 0x48, 0x67, 0x22, 0x2c, 0x22, 0x6b, 0x22, 0x3a, 0x22, 0x47, 0x6f,
+        0x6f, 0x67, 0x6c, 0x65, 0x54, 0x65, 0x73, 0x74, 0x4b, 0x65, 0x79, 0x42, 0x61, 0x73, 0x65,
+        0x36, 0x34, 0x67, 0x67, 0x67, 0x22, 0x7d, 0x5d, 0x7d, 0x0a};
+
+    hidl_string mimeType = "video/mp4";
+    KeyedVector optionalParameters;
+    auto res = drmPlugin->getKeyRequest_1_1(
+        sessionId, initData, mimeType, type, optionalParameters,
+        [&](Status status, const hidl_vec<uint8_t>& request,
+            KeyRequestType requestType, const hidl_string&) {
+            EXPECT_EQ(Status::OK, status);
+            EXPECT_EQ(KeyRequestType::INITIAL, requestType);
+            EXPECT_EQ(request, expectedKeyRequest);
+        });
+    EXPECT_OK(res);
+
+    hidl_vec<uint8_t> keySetId;
+    res = drmPlugin->provideKeyResponse(
+        sessionId, knownKeyResponse,
+        [&](Status status, const hidl_vec<uint8_t>& myKeySetId) {
+            EXPECT_EQ(Status::OK, status);
+            EXPECT_EQ(0u, myKeySetId.size());
+            keySetId = myKeySetId;
+        });
+    EXPECT_OK(res);
+    return keySetId;
+}
+
+/**
+ * Test openSession negative case: security level higher than supported
+ */
+TEST_F(DrmHalClearkeyTest, OpenSessionBadLevel) {
+    auto res = drmPlugin->openSession_1_1(SecurityLevel::HW_SECURE_ALL,
+            [&](Status status, const SessionId& /* id */) {
+                EXPECT_EQ(Status::ERROR_DRM_CANNOT_HANDLE, status);
+            });
+    EXPECT_OK(res);
+}
+
+/**
+ * Test getKeyRequest_1_1 via loadKeys
+ */
+TEST_F(DrmHalClearkeyTest, GetKeyRequest) {
+    auto sessionId = openSession();
+    loadKeys(sessionId);
+    closeSession(sessionId);
+}
+
+/**
+ * A get key request should fail if no sessionId is provided
+ */
+TEST_F(DrmHalClearkeyTest, GetKeyRequestNoSession) {
+    SessionId invalidSessionId;
+    hidl_vec<uint8_t> initData;
+    hidl_string mimeType = "video/mp4";
+    KeyedVector optionalParameters;
+    auto res = drmPlugin->getKeyRequest_1_1(
+            invalidSessionId, initData, mimeType, KeyType::STREAMING,
+            optionalParameters,
+            [&](Status status, const hidl_vec<uint8_t>&, KeyRequestType,
+                const hidl_string&) { EXPECT_EQ(Status::BAD_VALUE, status); });
+    EXPECT_OK(res);
+}
+
+/**
+ * The clearkey plugin doesn't support offline key requests.
+ * Test that the plugin returns the expected error code in
+ * this case.
+ */
+TEST_F(DrmHalClearkeyTest, GetKeyRequestOfflineKeyTypeNotSupported) {
+    auto sessionId = openSession();
+    hidl_vec<uint8_t> initData;
+    hidl_string mimeType = "video/mp4";
+    KeyedVector optionalParameters;
+
+    auto res = drmPlugin->getKeyRequest_1_1(
+            sessionId, initData, mimeType, KeyType::OFFLINE, optionalParameters,
+            [&](Status status, const hidl_vec<uint8_t>&, KeyRequestType,
+                const hidl_string&) {
+                // Clearkey plugin doesn't support offline key type
+                EXPECT_EQ(Status::ERROR_DRM_CANNOT_HANDLE, status);
+            });
+    EXPECT_OK(res);
+    closeSession(sessionId);
+}
+
+/**
  * Test that the plugin returns valid connected and max HDCP levels
  */
 TEST_F(DrmHalClearkeyTest, GetHdcpLevels) {
@@ -322,6 +441,11 @@
 }
 
 /**
+ * Since getHdcpLevels only queries information there are no
+ * negative cases.
+ */
+
+/**
  * Test that the plugin returns default open and max session counts
  */
 TEST_F(DrmHalClearkeyTest, GetDefaultSessionCounts) {
@@ -373,6 +497,11 @@
 }
 
 /**
+ * Since getNumberOfSessions only queries information there are no
+ * negative cases.
+ */
+
+/**
  * Test that the plugin returns the same security level
  * by default as when it is requested explicitly
  */
@@ -428,7 +557,7 @@
 /**
  * Test metrics are set appropriately for open and close operations.
  */
-TEST_F(DrmHalClearkeyTest, GetMetricsSuccess) {
+TEST_F(DrmHalClearkeyTest, GetMetricsOpenClose) {
     SessionId sessionId = openSession();
     // The first close should be successful.
     closeSession(sessionId);
@@ -449,8 +578,292 @@
                                                     (int64_t)Status::ERROR_DRM_SESSION_NOT_OPENED,
                                                     "count", (int64_t)1));
     });
+    EXPECT_OK(res);
 }
 
+/**
+ * Since getMetrics only queries information there are no
+ * negative cases.
+ */
+
+/**
+ * Test that there are no secure stop ids after clearing them
+ */
+TEST_F(DrmHalClearkeyTest, GetSecureStopIdsCleared) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    bool ok = drmPlugin->getSecureStopIds(
+            [&](Status status, const hidl_vec<SecureStopId>& ids) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, ids.size());
+            }).isOk();
+    EXPECT_TRUE(ok);
+}
+
+/**
+ * Test that there are secure stop ids after loading keys once
+ */
+TEST_F(DrmHalClearkeyTest, GetSecureStopIdsOnce) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto sessionId = openSession();
+    loadKeys(sessionId);
+    closeSession(sessionId);
+
+    auto res = drmPlugin->getSecureStopIds(
+            [&](Status status, const hidl_vec<SecureStopId>& ids) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(1u, ids.size());
+            });
+    EXPECT_OK(res);
+
+    stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    res = drmPlugin->getSecureStopIds(
+            [&](Status status, const hidl_vec<SecureStopId>& ids) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, ids.size());
+            });
+    EXPECT_OK(res);
+}
+
+/**
+ * Since getSecureStopIds only queries information there are no
+ * negative cases.
+ */
+
+/**
+ * Test that the clearkey plugin reports no secure stops when
+ * there are none.
+ */
+TEST_F(DrmHalClearkeyTest, GetNoSecureStops) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, stops.size());
+            });
+    EXPECT_OK(res);
+}
+
+/**
+ * Test get/remove of one secure stop
+ */
+TEST_F(DrmHalClearkeyTest, GetOneSecureStopAndRemoveIt) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto sessionId = openSession();
+    loadKeys(sessionId);
+    closeSession(sessionId);
+
+    auto res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(1u, stops.size());
+            });
+    EXPECT_OK(res);
+
+    stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, stops.size());
+            });
+    EXPECT_OK(res);
+}
+
+/**
+ * Since getSecureStops only queries information there are no
+ * negative cases.
+ */
+
+/**
+ * Test that there are no secure stops after clearing them
+ */
+TEST_F(DrmHalClearkeyTest, GetSecureStopsCleared) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, stops.size());
+            });
+    EXPECT_OK(res);
+}
+
+/**
+ * Test that there are secure stops after loading keys once
+ */
+TEST_F(DrmHalClearkeyTest, GetSecureStopsOnce) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto sessionId = openSession();
+    loadKeys(sessionId);
+    closeSession(sessionId);
+
+    auto res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(1u, stops.size());
+            });
+    EXPECT_OK(res);
+
+    stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, stops.size());
+            });
+    EXPECT_OK(res);
+}
+
+/**
+ * Since getSecureStops only queries information there are no
+ * negative cases.
+ */
+
+/**
+ * Test that releasing a secure stop with empty
+ * release message fails with the documented error
+ */
+TEST_F(DrmHalClearkeyTest, ReleaseEmptySecureStop) {
+    SecureStopRelease emptyRelease = {.opaqueData = hidl_vec<uint8_t>()};
+    Status status = drmPlugin->releaseSecureStops(emptyRelease);
+    EXPECT_EQ(Status::BAD_VALUE, status);
+}
+
+/**
+ * Helper function to create a secure release message for
+ * a secure stop. The clearkey secure stop release format
+ * is just a count followed by the secure stop opaque data.
+ */
+SecureStopRelease makeSecureRelease(const SecureStop &stop) {
+    std::vector<uint8_t> stopData = stop.opaqueData;
+    std::vector<uint8_t> buffer;
+    std::string count = "0001";
+
+    auto it = buffer.insert(buffer.begin(), count.begin(), count.end());
+    buffer.insert(it + count.size(), stopData.begin(), stopData.end());
+    SecureStopRelease release = { .opaqueData = hidl_vec<uint8_t>(buffer) };
+    return release;
+}
+
+/**
+ * Test that releasing one secure stop works
+ */
+TEST_F(DrmHalClearkeyTest, ReleaseOneSecureStop) {
+
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto sessionId = openSession();
+    loadKeys(sessionId);
+    closeSession(sessionId);
+
+    SecureStopRelease release;
+    auto res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(1u, stops.size());
+                release = makeSecureRelease(stops[0]);
+            });
+    EXPECT_OK(res);
+
+    stat = drmPlugin->releaseSecureStops(release);
+    EXPECT_OK(stat);
+
+    res = drmPlugin->getSecureStops(
+            [&](Status status, const hidl_vec<SecureStop>& stops) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, stops.size());
+            });
+    EXPECT_OK(res);
+}
+
+
+/**
+ * Test that removing a secure stop with an empty ID returns
+ * documented error
+ */
+TEST_F(DrmHalClearkeyTest, RemoveEmptySecureStopId) {
+    hidl_vec<uint8_t> emptyId;
+    auto stat = drmPlugin->removeSecureStop(emptyId);
+    EXPECT_OK(stat);
+    EXPECT_EQ(Status::BAD_VALUE, stat);
+}
+
+/**
+ * Test that removing a secure stop after it has already
+ * been removed fails with the documented error code.
+ */
+TEST_F(DrmHalClearkeyTest, RemoveRemovedSecureStopId) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto sessionId = openSession();
+    loadKeys(sessionId);
+    closeSession(sessionId);
+    SecureStopId ssid;
+
+    auto res = drmPlugin->getSecureStopIds(
+            [&](Status status, const hidl_vec<SecureStopId>& ids) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(1u, ids.size());
+                ssid = ids[0];
+            });
+    EXPECT_OK(res);
+
+    stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    Status status = drmPlugin->removeSecureStop(ssid);
+    EXPECT_EQ(Status::BAD_VALUE, status);
+}
+
+/**
+ * Test that removing a secure stop by id works
+ */
+TEST_F(DrmHalClearkeyTest, RemoveSecureStopById) {
+    auto stat = drmPlugin->removeAllSecureStops();
+    EXPECT_OK(stat);
+
+    auto sessionId = openSession();
+    loadKeys(sessionId);
+    closeSession(sessionId);
+    SecureStopId ssid;
+
+    auto res = drmPlugin->getSecureStopIds(
+            [&](Status status, const hidl_vec<SecureStopId>& ids) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(1u, ids.size());
+                ssid = ids[0];
+            });
+    EXPECT_OK(res);
+
+    stat = drmPlugin->removeSecureStop(ssid);
+    EXPECT_OK(stat);
+
+    res = drmPlugin->getSecureStopIds(
+            [&](Status status, const hidl_vec<SecureStopId>& ids) {
+                EXPECT_EQ(Status::OK, status);
+                EXPECT_EQ(0u, ids.size());
+            });
+    EXPECT_OK(res);
+}
+
+
 int main(int argc, char** argv) {
     ::testing::AddGlobalTestEnvironment(DrmHidlEnvironment::Instance());
     ::testing::InitGoogleTest(&argc, argv);
diff --git a/keymaster/3.0/vts/functional/keymaster_hidl_hal_test.cpp b/keymaster/3.0/vts/functional/keymaster_hidl_hal_test.cpp
index 3a181a9..fbe5237 100644
--- a/keymaster/3.0/vts/functional/keymaster_hidl_hal_test.cpp
+++ b/keymaster/3.0/vts/functional/keymaster_hidl_hal_test.cpp
@@ -2918,6 +2918,28 @@
 }
 
 /*
+ * EncryptionOperationsTest.AesEcbWithUserId
+ *
+ * Verifies that AES ECB mode works when Tag::USER_ID is specified.
+ */
+TEST_F(EncryptionOperationsTest, AesEcbWithUserId) {
+    string key = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+    ASSERT_EQ(ErrorCode::OK, ImportKey(AuthorizationSetBuilder()
+                                           .Authorization(TAG_NO_AUTH_REQUIRED)
+                                           .Authorization(TAG_USER_ID, 0)
+                                           .AesEncryptionKey(key.size() * 8)
+                                           .EcbMode()
+                                           .Padding(PaddingMode::PKCS7),
+                                       KeyFormat::RAW, key));
+
+    string message = "Hello World!";
+    auto params = AuthorizationSetBuilder().BlockMode(BlockMode::ECB).Padding(PaddingMode::PKCS7);
+    string ciphertext = EncryptMessage(message, params);
+    string plaintext = DecryptMessage(ciphertext, params);
+    EXPECT_EQ(message, plaintext);
+}
+
+/*
  * EncryptionOperationsTest.AesEcbRoundTripSuccess
  *
  * Verifies that AES encryption fails in the correct way when an unauthorized mode is specified.
diff --git a/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h b/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h
index 9d6501b..ce213bc 100644
--- a/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h
+++ b/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h
@@ -142,24 +142,28 @@
 DECLARE_TYPED_TAG(RSA_PUBLIC_EXPONENT);
 DECLARE_TYPED_TAG(TRUSTED_CONFIRMATION_REQUIRED);
 DECLARE_TYPED_TAG(UNIQUE_ID);
+DECLARE_TYPED_TAG(UNLOCKED_DEVICE_REQUIRED);
 DECLARE_TYPED_TAG(USAGE_EXPIRE_DATETIME);
 DECLARE_TYPED_TAG(USER_AUTH_TYPE);
+DECLARE_TYPED_TAG(USER_ID);
 DECLARE_TYPED_TAG(USER_SECURE_ID);
 
 template <typename... Elems>
 struct MetaList {};
 
-using all_tags_t = MetaList<
-    TAG_INVALID_t, TAG_KEY_SIZE_t, TAG_MAC_LENGTH_t, TAG_CALLER_NONCE_t, TAG_MIN_MAC_LENGTH_t,
-    TAG_RSA_PUBLIC_EXPONENT_t, TAG_INCLUDE_UNIQUE_ID_t, TAG_ACTIVE_DATETIME_t,
-    TAG_ORIGINATION_EXPIRE_DATETIME_t, TAG_USAGE_EXPIRE_DATETIME_t, TAG_MIN_SECONDS_BETWEEN_OPS_t,
-    TAG_MAX_USES_PER_BOOT_t, TAG_USER_SECURE_ID_t, TAG_NO_AUTH_REQUIRED_t, TAG_AUTH_TIMEOUT_t,
-    TAG_ALLOW_WHILE_ON_BODY_t, TAG_APPLICATION_ID_t, TAG_APPLICATION_DATA_t,
-    TAG_CREATION_DATETIME_t, TAG_ROLLBACK_RESISTANCE_t, TAG_ROOT_OF_TRUST_t, TAG_ASSOCIATED_DATA_t,
-    TAG_NONCE_t, TAG_BOOTLOADER_ONLY_t, TAG_OS_VERSION_t, TAG_OS_PATCHLEVEL_t, TAG_UNIQUE_ID_t,
-    TAG_ATTESTATION_CHALLENGE_t, TAG_ATTESTATION_APPLICATION_ID_t, TAG_RESET_SINCE_ID_ROTATION_t,
-    TAG_PURPOSE_t, TAG_ALGORITHM_t, TAG_BLOCK_MODE_t, TAG_DIGEST_t, TAG_PADDING_t,
-    TAG_BLOB_USAGE_REQUIREMENTS_t, TAG_ORIGIN_t, TAG_USER_AUTH_TYPE_t, TAG_EC_CURVE_t>;
+using all_tags_t =
+    MetaList<TAG_INVALID_t, TAG_KEY_SIZE_t, TAG_MAC_LENGTH_t, TAG_CALLER_NONCE_t,
+             TAG_MIN_MAC_LENGTH_t, TAG_RSA_PUBLIC_EXPONENT_t, TAG_INCLUDE_UNIQUE_ID_t,
+             TAG_ACTIVE_DATETIME_t, TAG_ORIGINATION_EXPIRE_DATETIME_t, TAG_USAGE_EXPIRE_DATETIME_t,
+             TAG_MIN_SECONDS_BETWEEN_OPS_t, TAG_MAX_USES_PER_BOOT_t, TAG_USER_ID_t,
+             TAG_USER_SECURE_ID_t, TAG_NO_AUTH_REQUIRED_t, TAG_AUTH_TIMEOUT_t,
+             TAG_ALLOW_WHILE_ON_BODY_t, TAG_UNLOCKED_DEVICE_REQUIRED_t, TAG_APPLICATION_ID_t,
+             TAG_APPLICATION_DATA_t, TAG_CREATION_DATETIME_t, TAG_ROLLBACK_RESISTANCE_t,
+             TAG_ROOT_OF_TRUST_t, TAG_ASSOCIATED_DATA_t, TAG_NONCE_t, TAG_BOOTLOADER_ONLY_t,
+             TAG_OS_VERSION_t, TAG_OS_PATCHLEVEL_t, TAG_UNIQUE_ID_t, TAG_ATTESTATION_CHALLENGE_t,
+             TAG_ATTESTATION_APPLICATION_ID_t, TAG_RESET_SINCE_ID_ROTATION_t, TAG_PURPOSE_t,
+             TAG_ALGORITHM_t, TAG_BLOCK_MODE_t, TAG_DIGEST_t, TAG_PADDING_t,
+             TAG_BLOB_USAGE_REQUIREMENTS_t, TAG_ORIGIN_t, TAG_USER_AUTH_TYPE_t, TAG_EC_CURVE_t>;
 
 template <typename TypedTagType>
 struct TypedTag2ValueType;
@@ -343,6 +347,7 @@
         case Tag::BOOTLOADER_ONLY:
         case Tag::NO_AUTH_REQUIRED:
         case Tag::ALLOW_WHILE_ON_BODY:
+        case Tag::UNLOCKED_DEVICE_REQUIRED:
         case Tag::ROLLBACK_RESISTANCE:
         case Tag::RESET_SINCE_ID_ROTATION:
         case Tag::TRUSTED_CONFIRMATION_REQUIRED:
@@ -357,6 +362,7 @@
         case Tag::OS_VERSION:
         case Tag::OS_PATCHLEVEL:
         case Tag::MAC_LENGTH:
+        case Tag::USER_ID:
         case Tag::AUTH_TIMEOUT:
         case Tag::VENDOR_PATCHLEVEL:
         case Tag::BOOT_PATCHLEVEL:
diff --git a/keymaster/4.0/types.hal b/keymaster/4.0/types.hal
index 91ec9bf..47fd1ed 100644
--- a/keymaster/4.0/types.hal
+++ b/keymaster/4.0/types.hal
@@ -118,7 +118,8 @@
                                                        * boot. */
 
     /* User authentication */
-    // 500-501 reserved
+    // 500 reserved
+    USER_ID = TagType:UINT | 501,             /* Android ID of authorized user or authenticator(s), */
     USER_SECURE_ID = TagType:ULONG_REP | 502, /* Secure ID of authorized user or authenticator(s).
                                                * Disallowed if NO_AUTH_REQUIRED is present. */
     NO_AUTH_REQUIRED = TagType:BOOL | 503,    /* If key is usable without authentication. */
@@ -191,6 +192,9 @@
      * match the data described in the token, keymaster must return NO_USER_CONFIRMATION. */
     TRUSTED_CONFIRMATION_REQUIRED = TagType:BOOL | 508,
 
+    UNLOCKED_DEVICE_REQUIRED = TagType:BOOL | 509, /* Require the device screen to be unlocked if
+                                                    * the key is used. */
+
     /* Application access control */
     APPLICATION_ID = TagType:BYTES | 601, /* Byte string identifying the authorized application. */
 
@@ -471,6 +475,7 @@
     PROOF_OF_PRESENCE_REQUIRED = -69,
     CONCURRENT_PROOF_OF_PRESENCE_REQUESTED = -70,
     NO_USER_CONFIRMATION = -71,
+    DEVICE_LOCKED = -72,
 
     UNIMPLEMENTED = -100,
     VERSION_MISMATCH = -101,
diff --git a/neuralnetworks/1.0/types.hal b/neuralnetworks/1.0/types.hal
index 8779723..c97a00b 100644
--- a/neuralnetworks/1.0/types.hal
+++ b/neuralnetworks/1.0/types.hal
@@ -84,6 +84,7 @@
      *     output.dimension = {5, 4, 3, 2}
      *
      * Supported tensor types: {@link OperandType::TENSOR_FLOAT32}
+     *                         {@link OperandType::TENSOR_QUANT8_ASYMM}
      * Supported tensor rank: up to 4
      *
      * Inputs:
@@ -645,6 +646,7 @@
      * input operands. It starts with the trailing dimensions, and works its way forward.
      *
      * Supported tensor types: {@link OperandType::TENSOR_FLOAT32}
+     *                         {@link OperandType::TENSOR_QUANT8_ASYMM}
      * Supported tensor rank: up to 4
      *
      * Inputs:
diff --git a/neuralnetworks/1.0/vts/functional/Android.bp b/neuralnetworks/1.0/vts/functional/Android.bp
index 54dd14a..e28113b 100644
--- a/neuralnetworks/1.0/vts/functional/Android.bp
+++ b/neuralnetworks/1.0/vts/functional/Android.bp
@@ -18,7 +18,6 @@
     name: "VtsHalNeuralnetworksTest_utils",
     srcs: [
         "Callbacks.cpp",
-        "Models.cpp",
         "GeneratedTestHarness.cpp",
     ],
     defaults: ["VtsHalTargetTestDefaults"],
@@ -41,14 +40,17 @@
 cc_test {
     name: "VtsHalNeuralnetworksV1_0TargetTest",
     srcs: [
-        "VtsHalNeuralnetworksV1_0.cpp",
-        "VtsHalNeuralnetworksV1_0BasicTest.cpp",
-        "VtsHalNeuralnetworksV1_0GeneratedTest.cpp",
+        "BasicTests.cpp",
+        "GeneratedTests.cpp",
+        "ValidateModel.cpp",
+        "ValidateRequest.cpp",
+        "ValidationTests.cpp",
+        "VtsHalNeuralnetworks.cpp",
     ],
     defaults: ["VtsHalTargetTestDefaults"],
     static_libs: [
-        "android.hardware.neuralnetworks@1.0",
         "android.hardware.neuralnetworks@1.1",
+        "android.hardware.neuralnetworks@1.0",
         "android.hidl.allocator@1.0",
         "android.hidl.memory@1.0",
         "libhidlmemory",
diff --git a/neuralnetworks/1.0/vts/functional/BasicTests.cpp b/neuralnetworks/1.0/vts/functional/BasicTests.cpp
new file mode 100644
index 0000000..945c406
--- /dev/null
+++ b/neuralnetworks/1.0/vts/functional/BasicTests.cpp
@@ -0,0 +1,56 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
+
+// create device test
+TEST_F(NeuralnetworksHidlTest, CreateDevice) {}
+
+// status test
+TEST_F(NeuralnetworksHidlTest, StatusTest) {
+    Return<DeviceStatus> status = device->getStatus();
+    ASSERT_TRUE(status.isOk());
+    EXPECT_EQ(DeviceStatus::AVAILABLE, static_cast<DeviceStatus>(status));
+}
+
+// initialization
+TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
+    Return<void> ret =
+        device->getCapabilities([](ErrorStatus status, const Capabilities& capabilities) {
+            EXPECT_EQ(ErrorStatus::NONE, status);
+            EXPECT_LT(0.0f, capabilities.float32Performance.execTime);
+            EXPECT_LT(0.0f, capabilities.float32Performance.powerUsage);
+            EXPECT_LT(0.0f, capabilities.quantized8Performance.execTime);
+            EXPECT_LT(0.0f, capabilities.quantized8Performance.powerUsage);
+        });
+    EXPECT_TRUE(ret.isOk());
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_0
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.0/vts/functional/Callbacks.h b/neuralnetworks/1.0/vts/functional/Callbacks.h
index 0e2ffb3..2ac6130 100644
--- a/neuralnetworks/1.0/vts/functional/Callbacks.h
+++ b/neuralnetworks/1.0/vts/functional/Callbacks.h
@@ -17,14 +17,6 @@
 namespace V1_0 {
 namespace implementation {
 
-using ::android::hardware::hidl_array;
-using ::android::hardware::hidl_memory;
-using ::android::hardware::hidl_string;
-using ::android::hardware::hidl_vec;
-using ::android::hardware::Return;
-using ::android::hardware::Void;
-using ::android::sp;
-
 /**
  * The CallbackBase class is used internally by the NeuralNetworks runtime to
  * synchronize between different threads. An asynchronous task is launched
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index 8646a4c..4f9d528 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -179,7 +179,7 @@
     }
 }
 
-void Execute(sp<V1_0::IDevice>& device, std::function<V1_0::Model(void)> create_model,
+void Execute(const sp<V1_0::IDevice>& device, std::function<V1_0::Model(void)> create_model,
              std::function<bool(int)> is_ignored,
              const std::vector<MixedTypedExampleType>& examples) {
     V1_0::Model model = create_model();
@@ -223,7 +223,7 @@
     EvaluatePreparedModel(preparedModel, is_ignored, examples);
 }
 
-void Execute(sp<V1_1::IDevice>& device, std::function<V1_1::Model(void)> create_model,
+void Execute(const sp<V1_1::IDevice>& device, std::function<V1_1::Model(void)> create_model,
              std::function<bool(int)> is_ignored,
              const std::vector<MixedTypedExampleType>& examples) {
     V1_1::Model model = create_model();
diff --git a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0GeneratedTest.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
similarity index 61%
rename from neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0GeneratedTest.cpp
rename to neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
index b99aef7..2107333 100644
--- a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0GeneratedTest.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
@@ -16,47 +16,33 @@
 
 #define LOG_TAG "neuralnetworks_hidl_hal_test"
 
-#include "VtsHalNeuralnetworksV1_0.h"
+#include "VtsHalNeuralnetworks.h"
 
 #include "Callbacks.h"
 #include "TestHarness.h"
+#include "Utils.h"
 
 #include <android-base/logging.h>
 #include <android/hidl/memory/1.0/IMemory.h>
 #include <hidlmemory/mapping.h>
 
-using ::android::hardware::neuralnetworks::V1_0::IDevice;
-using ::android::hardware::neuralnetworks::V1_0::IPreparedModel;
-using ::android::hardware::neuralnetworks::V1_0::Capabilities;
-using ::android::hardware::neuralnetworks::V1_0::DeviceStatus;
-using ::android::hardware::neuralnetworks::V1_0::FusedActivationFunc;
-using ::android::hardware::neuralnetworks::V1_0::Model;
-using ::android::hardware::neuralnetworks::V1_0::OperationType;
-using ::android::hardware::neuralnetworks::V1_0::PerformanceInfo;
-using ::android::hardware::Return;
-using ::android::hardware::Void;
-using ::android::hardware::hidl_memory;
-using ::android::hardware::hidl_string;
-using ::android::hardware::hidl_vec;
-using ::android::hidl::allocator::V1_0::IAllocator;
-using ::android::hidl::memory::V1_0::IMemory;
-using ::android::sp;
-
 namespace android {
 namespace hardware {
 namespace neuralnetworks {
 
 namespace generated_tests {
 using ::generated_tests::MixedTypedExampleType;
-extern void Execute(sp<IDevice>&, std::function<Model(void)>, std::function<bool(int)>,
-                    const std::vector<MixedTypedExampleType>&);
+extern void Execute(const sp<V1_0::IDevice>&, std::function<V1_0::Model(void)>,
+                    std::function<bool(int)>, const std::vector<MixedTypedExampleType>&);
 }  // namespace generated_tests
 
 namespace V1_0 {
 namespace vts {
 namespace functional {
+
 using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
 using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::nn::allocateSharedMemory;
 
 // Mixed-typed examples
 typedef generated_tests::MixedTypedExampleType MixedTypedExample;
diff --git a/neuralnetworks/1.0/vts/functional/Models.cpp b/neuralnetworks/1.0/vts/functional/Models.cpp
deleted file mode 100644
index 180286a..0000000
--- a/neuralnetworks/1.0/vts/functional/Models.cpp
+++ /dev/null
@@ -1,202 +0,0 @@
-/*
- * Copyright (C) 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_TAG "neuralnetworks_hidl_hal_test"
-
-#include "Models.h"
-#include "Utils.h"
-
-#include <android-base/logging.h>
-#include <android/hidl/allocator/1.0/IAllocator.h>
-#include <android/hidl/memory/1.0/IMemory.h>
-#include <hidlmemory/mapping.h>
-#include <vector>
-
-using ::android::sp;
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-
-// create a valid model
-V1_1::Model createValidTestModel_1_1() {
-    const std::vector<float> operand2Data = {5.0f, 6.0f, 7.0f, 8.0f};
-    const uint32_t size = operand2Data.size() * sizeof(float);
-
-    const uint32_t operand1 = 0;
-    const uint32_t operand2 = 1;
-    const uint32_t operand3 = 2;
-    const uint32_t operand4 = 3;
-
-    const std::vector<Operand> operands = {
-        {
-            .type = OperandType::TENSOR_FLOAT32,
-            .dimensions = {1, 2, 2, 1},
-            .numberOfConsumers = 1,
-            .scale = 0.0f,
-            .zeroPoint = 0,
-            .lifetime = OperandLifeTime::MODEL_INPUT,
-            .location = {.poolIndex = 0, .offset = 0, .length = 0},
-        },
-        {
-            .type = OperandType::TENSOR_FLOAT32,
-            .dimensions = {1, 2, 2, 1},
-            .numberOfConsumers = 1,
-            .scale = 0.0f,
-            .zeroPoint = 0,
-            .lifetime = OperandLifeTime::CONSTANT_COPY,
-            .location = {.poolIndex = 0, .offset = 0, .length = size},
-        },
-        {
-            .type = OperandType::INT32,
-            .dimensions = {},
-            .numberOfConsumers = 1,
-            .scale = 0.0f,
-            .zeroPoint = 0,
-            .lifetime = OperandLifeTime::CONSTANT_COPY,
-            .location = {.poolIndex = 0, .offset = size, .length = sizeof(int32_t)},
-        },
-        {
-            .type = OperandType::TENSOR_FLOAT32,
-            .dimensions = {1, 2, 2, 1},
-            .numberOfConsumers = 0,
-            .scale = 0.0f,
-            .zeroPoint = 0,
-            .lifetime = OperandLifeTime::MODEL_OUTPUT,
-            .location = {.poolIndex = 0, .offset = 0, .length = 0},
-        },
-    };
-
-    const std::vector<Operation> operations = {{
-        .type = OperationType::ADD, .inputs = {operand1, operand2, operand3}, .outputs = {operand4},
-    }};
-
-    const std::vector<uint32_t> inputIndexes = {operand1};
-    const std::vector<uint32_t> outputIndexes = {operand4};
-    std::vector<uint8_t> operandValues(
-        reinterpret_cast<const uint8_t*>(operand2Data.data()),
-        reinterpret_cast<const uint8_t*>(operand2Data.data()) + size);
-    int32_t activation[1] = {static_cast<int32_t>(FusedActivationFunc::NONE)};
-    operandValues.insert(operandValues.end(), reinterpret_cast<const uint8_t*>(&activation[0]),
-                         reinterpret_cast<const uint8_t*>(&activation[1]));
-
-    const std::vector<hidl_memory> pools = {};
-
-    return {
-        .operands = operands,
-        .operations = operations,
-        .inputIndexes = inputIndexes,
-        .outputIndexes = outputIndexes,
-        .operandValues = operandValues,
-        .pools = pools,
-    };
-}
-
-// create first invalid model
-V1_1::Model createInvalidTestModel1_1_1() {
-    Model model = createValidTestModel_1_1();
-    model.operations[0].type = static_cast<OperationType>(0xDEADBEEF); /* INVALID */
-    return model;
-}
-
-// create second invalid model
-V1_1::Model createInvalidTestModel2_1_1() {
-    Model model = createValidTestModel_1_1();
-    const uint32_t operand1 = 0;
-    const uint32_t operand5 = 4;  // INVALID OPERAND
-    model.inputIndexes = std::vector<uint32_t>({operand1, operand5 /* INVALID OPERAND */});
-    return model;
-}
-
-V1_0::Model createValidTestModel_1_0() {
-    V1_1::Model model = createValidTestModel_1_1();
-    return nn::convertToV1_0(model);
-}
-
-V1_0::Model createInvalidTestModel1_1_0() {
-    V1_1::Model model = createInvalidTestModel1_1_1();
-    return nn::convertToV1_0(model);
-}
-
-V1_0::Model createInvalidTestModel2_1_0() {
-    V1_1::Model model = createInvalidTestModel2_1_1();
-    return nn::convertToV1_0(model);
-}
-
-// create a valid request
-Request createValidTestRequest() {
-    std::vector<float> inputData = {1.0f, 2.0f, 3.0f, 4.0f};
-    std::vector<float> outputData = {-1.0f, -1.0f, -1.0f, -1.0f};
-    const uint32_t INPUT = 0;
-    const uint32_t OUTPUT = 1;
-
-    // prepare inputs
-    uint32_t inputSize = static_cast<uint32_t>(inputData.size() * sizeof(float));
-    uint32_t outputSize = static_cast<uint32_t>(outputData.size() * sizeof(float));
-    std::vector<RequestArgument> inputs = {{
-        .location = {.poolIndex = INPUT, .offset = 0, .length = inputSize}, .dimensions = {},
-    }};
-    std::vector<RequestArgument> outputs = {{
-        .location = {.poolIndex = OUTPUT, .offset = 0, .length = outputSize}, .dimensions = {},
-    }};
-    std::vector<hidl_memory> pools = {nn::allocateSharedMemory(inputSize),
-                                      nn::allocateSharedMemory(outputSize)};
-    if (pools[INPUT].size() == 0 || pools[OUTPUT].size() == 0) {
-        return {};
-    }
-
-    // load data
-    sp<IMemory> inputMemory = mapMemory(pools[INPUT]);
-    sp<IMemory> outputMemory = mapMemory(pools[OUTPUT]);
-    if (inputMemory.get() == nullptr || outputMemory.get() == nullptr) {
-        return {};
-    }
-    float* inputPtr = reinterpret_cast<float*>(static_cast<void*>(inputMemory->getPointer()));
-    float* outputPtr = reinterpret_cast<float*>(static_cast<void*>(outputMemory->getPointer()));
-    if (inputPtr == nullptr || outputPtr == nullptr) {
-        return {};
-    }
-    inputMemory->update();
-    outputMemory->update();
-    std::copy(inputData.begin(), inputData.end(), inputPtr);
-    std::copy(outputData.begin(), outputData.end(), outputPtr);
-    inputMemory->commit();
-    outputMemory->commit();
-
-    return {.inputs = inputs, .outputs = outputs, .pools = pools};
-}
-
-// create first invalid request
-Request createInvalidTestRequest1() {
-    Request request = createValidTestRequest();
-    const uint32_t INVALID = 2;
-    std::vector<float> inputData = {1.0f, 2.0f, 3.0f, 4.0f};
-    uint32_t inputSize = static_cast<uint32_t>(inputData.size() * sizeof(float));
-    request.inputs[0].location = {
-        .poolIndex = INVALID /* INVALID */, .offset = 0, .length = inputSize};
-    return request;
-}
-
-// create second invalid request
-Request createInvalidTestRequest2() {
-    Request request = createValidTestRequest();
-    request.inputs[0].dimensions = std::vector<uint32_t>({1, 2, 3, 4, 5, 6, 7, 8} /* INVALID */);
-    return request;
-}
-
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
diff --git a/neuralnetworks/1.0/vts/functional/Models.h b/neuralnetworks/1.0/vts/functional/Models.h
index 9398235..a1fbe92 100644
--- a/neuralnetworks/1.0/vts/functional/Models.h
+++ b/neuralnetworks/1.0/vts/functional/Models.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (C) 2017 The Android Open Source Project
+ * 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.
@@ -14,29 +14,187 @@
  * limitations under the License.
  */
 
+#ifndef VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
+#define VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
+
 #define LOG_TAG "neuralnetworks_hidl_hal_test"
 
-#include <android/hardware/neuralnetworks/1.1/types.h>
+#include "TestHarness.h"
+
+#include <android/hardware/neuralnetworks/1.0/types.h>
 
 namespace android {
 namespace hardware {
 namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
 
-// create V1_1 model
-V1_1::Model createValidTestModel_1_1();
-V1_1::Model createInvalidTestModel1_1_1();
-V1_1::Model createInvalidTestModel2_1_1();
+using MixedTypedExample = generated_tests::MixedTypedExampleType;
 
-// create V1_0 model
-V1_0::Model createValidTestModel_1_0();
-V1_0::Model createInvalidTestModel1_1_0();
-V1_0::Model createInvalidTestModel2_1_0();
+#define FOR_EACH_TEST_MODEL(FN)                          \
+    FN(add_broadcast_quant8)                             \
+    FN(add)                                              \
+    FN(add_quant8)                                       \
+    FN(avg_pool_float_1)                                 \
+    FN(avg_pool_float_2)                                 \
+    FN(avg_pool_float_3)                                 \
+    FN(avg_pool_float_4)                                 \
+    FN(avg_pool_float_5)                                 \
+    FN(avg_pool_quant8_1)                                \
+    FN(avg_pool_quant8_2)                                \
+    FN(avg_pool_quant8_3)                                \
+    FN(avg_pool_quant8_4)                                \
+    FN(avg_pool_quant8_5)                                \
+    FN(concat_float_1)                                   \
+    FN(concat_float_2)                                   \
+    FN(concat_float_3)                                   \
+    FN(concat_quant8_1)                                  \
+    FN(concat_quant8_2)                                  \
+    FN(concat_quant8_3)                                  \
+    FN(conv_1_h3_w2_SAME)                                \
+    FN(conv_1_h3_w2_VALID)                               \
+    FN(conv_3_h3_w2_SAME)                                \
+    FN(conv_3_h3_w2_VALID)                               \
+    FN(conv_float_2)                                     \
+    FN(conv_float_channels)                              \
+    FN(conv_float_channels_weights_as_inputs)            \
+    FN(conv_float_large)                                 \
+    FN(conv_float_large_weights_as_inputs)               \
+    FN(conv_float)                                       \
+    FN(conv_float_weights_as_inputs)                     \
+    FN(conv_quant8_2)                                    \
+    FN(conv_quant8_channels)                             \
+    FN(conv_quant8_channels_weights_as_inputs)           \
+    FN(conv_quant8_large)                                \
+    FN(conv_quant8_large_weights_as_inputs)              \
+    FN(conv_quant8)                                      \
+    FN(conv_quant8_overflow)                             \
+    FN(conv_quant8_overflow_weights_as_inputs)           \
+    FN(conv_quant8_weights_as_inputs)                    \
+    FN(depth_to_space_float_1)                           \
+    FN(depth_to_space_float_2)                           \
+    FN(depth_to_space_float_3)                           \
+    FN(depth_to_space_quant8_1)                          \
+    FN(depth_to_space_quant8_2)                          \
+    FN(depthwise_conv2d_float_2)                         \
+    FN(depthwise_conv2d_float_large_2)                   \
+    FN(depthwise_conv2d_float_large_2_weights_as_inputs) \
+    FN(depthwise_conv2d_float_large)                     \
+    FN(depthwise_conv2d_float_large_weights_as_inputs)   \
+    FN(depthwise_conv2d_float)                           \
+    FN(depthwise_conv2d_float_weights_as_inputs)         \
+    FN(depthwise_conv2d_quant8_2)                        \
+    FN(depthwise_conv2d_quant8_large)                    \
+    FN(depthwise_conv2d_quant8_large_weights_as_inputs)  \
+    FN(depthwise_conv2d_quant8)                          \
+    FN(depthwise_conv2d_quant8_weights_as_inputs)        \
+    FN(depthwise_conv)                                   \
+    FN(dequantize)                                       \
+    FN(embedding_lookup)                                 \
+    FN(floor)                                            \
+    FN(fully_connected_float_2)                          \
+    FN(fully_connected_float_large)                      \
+    FN(fully_connected_float_large_weights_as_inputs)    \
+    FN(fully_connected_float)                            \
+    FN(fully_connected_float_weights_as_inputs)          \
+    FN(fully_connected_quant8_2)                         \
+    FN(fully_connected_quant8_large)                     \
+    FN(fully_connected_quant8_large_weights_as_inputs)   \
+    FN(fully_connected_quant8)                           \
+    FN(fully_connected_quant8_weights_as_inputs)         \
+    FN(hashtable_lookup_float)                           \
+    FN(hashtable_lookup_quant8)                          \
+    FN(l2_normalization_2)                               \
+    FN(l2_normalization_large)                           \
+    FN(l2_normalization)                                 \
+    FN(l2_pool_float_2)                                  \
+    FN(l2_pool_float_large)                              \
+    FN(l2_pool_float)                                    \
+    FN(local_response_norm_float_1)                      \
+    FN(local_response_norm_float_2)                      \
+    FN(local_response_norm_float_3)                      \
+    FN(local_response_norm_float_4)                      \
+    FN(logistic_float_1)                                 \
+    FN(logistic_float_2)                                 \
+    FN(logistic_quant8_1)                                \
+    FN(logistic_quant8_2)                                \
+    FN(lsh_projection_2)                                 \
+    FN(lsh_projection)                                   \
+    FN(lsh_projection_weights_as_inputs)                 \
+    FN(lstm2)                                            \
+    FN(lstm2_state2)                                     \
+    FN(lstm2_state)                                      \
+    FN(lstm3)                                            \
+    FN(lstm3_state2)                                     \
+    FN(lstm3_state3)                                     \
+    FN(lstm3_state)                                      \
+    FN(lstm)                                             \
+    FN(lstm_state2)                                      \
+    FN(lstm_state)                                       \
+    FN(max_pool_float_1)                                 \
+    FN(max_pool_float_2)                                 \
+    FN(max_pool_float_3)                                 \
+    FN(max_pool_float_4)                                 \
+    FN(max_pool_quant8_1)                                \
+    FN(max_pool_quant8_2)                                \
+    FN(max_pool_quant8_3)                                \
+    FN(max_pool_quant8_4)                                \
+    FN(mobilenet_224_gender_basic_fixed)                 \
+    FN(mobilenet_quantized)                              \
+    FN(mul_broadcast_quant8)                             \
+    FN(mul)                                              \
+    FN(mul_quant8)                                       \
+    FN(mul_relu)                                         \
+    FN(relu1_float_1)                                    \
+    FN(relu1_float_2)                                    \
+    FN(relu1_quant8_1)                                   \
+    FN(relu1_quant8_2)                                   \
+    FN(relu6_float_1)                                    \
+    FN(relu6_float_2)                                    \
+    FN(relu6_quant8_1)                                   \
+    FN(relu6_quant8_2)                                   \
+    FN(relu_float_1)                                     \
+    FN(relu_float_2)                                     \
+    FN(relu_quant8_1)                                    \
+    FN(relu_quant8_2)                                    \
+    FN(reshape)                                          \
+    FN(reshape_quant8)                                   \
+    FN(reshape_quant8_weights_as_inputs)                 \
+    FN(reshape_weights_as_inputs)                        \
+    FN(resize_bilinear_2)                                \
+    FN(resize_bilinear)                                  \
+    FN(rnn)                                              \
+    FN(rnn_state)                                        \
+    FN(softmax_float_1)                                  \
+    FN(softmax_float_2)                                  \
+    FN(softmax_quant8_1)                                 \
+    FN(softmax_quant8_2)                                 \
+    FN(space_to_depth_float_1)                           \
+    FN(space_to_depth_float_2)                           \
+    FN(space_to_depth_float_3)                           \
+    FN(space_to_depth_quant8_1)                          \
+    FN(space_to_depth_quant8_2)                          \
+    FN(svdf2)                                            \
+    FN(svdf)                                             \
+    FN(svdf_state)                                       \
+    FN(tanh)
 
-// create the request
-V1_0::Request createValidTestRequest();
-V1_0::Request createInvalidTestRequest1();
-V1_0::Request createInvalidTestRequest2();
+#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
+    namespace function {                            \
+    extern std::vector<MixedTypedExample> examples; \
+    Model createTestModel();                        \
+    }
 
+FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
+
+#undef FORWARD_DECLARE_GENERATED_OBJECTS
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_0
 }  // namespace neuralnetworks
 }  // namespace hardware
 }  // namespace android
+
+#endif  // VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.0/vts/functional/ValidateModel.cpp b/neuralnetworks/1.0/vts/functional/ValidateModel.cpp
new file mode 100644
index 0000000..4f0697e
--- /dev/null
+++ b/neuralnetworks/1.0/vts/functional/ValidateModel.cpp
@@ -0,0 +1,506 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+static void validateGetSupportedOperations(const sp<IDevice>& device, const std::string& message,
+                                           const V1_0::Model& model) {
+    SCOPED_TRACE(message + " [getSupportedOperations]");
+
+    Return<void> ret =
+        device->getSupportedOperations(model, [&](ErrorStatus status, const hidl_vec<bool>&) {
+            EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
+        });
+    EXPECT_TRUE(ret.isOk());
+}
+
+static void validatePrepareModel(const sp<IDevice>& device, const std::string& message,
+                                 const V1_0::Model& model) {
+    SCOPED_TRACE(message + " [prepareModel]");
+
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel(model, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(prepareLaunchStatus));
+
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, prepareReturnStatus);
+    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+    ASSERT_EQ(nullptr, preparedModel.get());
+}
+
+// Primary validation function. This function will take a valid model, apply a
+// mutation to it to invalidate the model, then pass it to interface calls that
+// use the model. Note that the model here is passed by value, and any mutation
+// to the model does not leave this function.
+static void validate(const sp<IDevice>& device, const std::string& message, V1_0::Model model,
+                     const std::function<void(Model*)>& mutation) {
+    mutation(&model);
+    validateGetSupportedOperations(device, message, model);
+    validatePrepareModel(device, message, model);
+}
+
+// Delete element from hidl_vec. hidl_vec doesn't support a "remove" operation,
+// so this is efficiently accomplished by moving the element to the end and
+// resizing the hidl_vec to one less.
+template <typename Type>
+static void hidl_vec_removeAt(hidl_vec<Type>* vec, uint32_t index) {
+    if (vec) {
+        std::rotate(vec->begin() + index, vec->begin() + index + 1, vec->end());
+        vec->resize(vec->size() - 1);
+    }
+}
+
+template <typename Type>
+static uint32_t hidl_vec_push_back(hidl_vec<Type>* vec, const Type& value) {
+    // assume vec is valid
+    const uint32_t index = vec->size();
+    vec->resize(index + 1);
+    (*vec)[index] = value;
+    return index;
+}
+
+static uint32_t addOperand(Model* model) {
+    return hidl_vec_push_back(&model->operands,
+                              {
+                                  .type = OperandType::INT32,
+                                  .dimensions = {},
+                                  .numberOfConsumers = 0,
+                                  .scale = 0.0f,
+                                  .zeroPoint = 0,
+                                  .lifetime = OperandLifeTime::MODEL_INPUT,
+                                  .location = {.poolIndex = 0, .offset = 0, .length = 0},
+                              });
+}
+
+static uint32_t addOperand(Model* model, OperandLifeTime lifetime) {
+    uint32_t index = addOperand(model);
+    model->operands[index].numberOfConsumers = 1;
+    model->operands[index].lifetime = lifetime;
+    return index;
+}
+
+///////////////////////// VALIDATE MODEL OPERAND TYPE /////////////////////////
+
+static const int32_t invalidOperandTypes[] = {
+    static_cast<int32_t>(OperandType::FLOAT32) - 1,              // lower bound fundamental
+    static_cast<int32_t>(OperandType::TENSOR_QUANT8_ASYMM) + 1,  // upper bound fundamental
+    static_cast<int32_t>(OperandType::OEM) - 1,                  // lower bound OEM
+    static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) + 1,      // upper bound OEM
+};
+
+static void mutateOperandTypeTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        for (int32_t invalidOperandType : invalidOperandTypes) {
+            const std::string message = "mutateOperandTypeTest: operand " +
+                                        std::to_string(operand) + " set to value " +
+                                        std::to_string(invalidOperandType);
+            validate(device, message, model, [operand, invalidOperandType](Model* model) {
+                model->operands[operand].type = static_cast<OperandType>(invalidOperandType);
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE OPERAND RANK /////////////////////////
+
+static uint32_t getInvalidRank(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+            return 1;
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            return 0;
+        default:
+            return 0;
+    }
+}
+
+static void mutateOperandRankTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const uint32_t invalidRank = getInvalidRank(model.operands[operand].type);
+        const std::string message = "mutateOperandRankTest: operand " + std::to_string(operand) +
+                                    " has rank of " + std::to_string(invalidRank);
+        validate(device, message, model, [operand, invalidRank](Model* model) {
+            model->operands[operand].dimensions = std::vector<uint32_t>(invalidRank, 0);
+        });
+    }
+}
+
+///////////////////////// VALIDATE OPERAND SCALE /////////////////////////
+
+static float getInvalidScale(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::TENSOR_FLOAT32:
+            return 1.0f;
+        case OperandType::TENSOR_INT32:
+            return -1.0f;
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            return 0.0f;
+        default:
+            return 0.0f;
+    }
+}
+
+static void mutateOperandScaleTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const float invalidScale = getInvalidScale(model.operands[operand].type);
+        const std::string message = "mutateOperandScaleTest: operand " + std::to_string(operand) +
+                                    " has scale of " + std::to_string(invalidScale);
+        validate(device, message, model, [operand, invalidScale](Model* model) {
+            model->operands[operand].scale = invalidScale;
+        });
+    }
+}
+
+///////////////////////// VALIDATE OPERAND ZERO POINT /////////////////////////
+
+static std::vector<int32_t> getInvalidZeroPoints(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+            return {1};
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            return {-1, 256};
+        default:
+            return {};
+    }
+}
+
+static void mutateOperandZeroPointTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const std::vector<int32_t> invalidZeroPoints =
+            getInvalidZeroPoints(model.operands[operand].type);
+        for (int32_t invalidZeroPoint : invalidZeroPoints) {
+            const std::string message = "mutateOperandZeroPointTest: operand " +
+                                        std::to_string(operand) + " has zero point of " +
+                                        std::to_string(invalidZeroPoint);
+            validate(device, message, model, [operand, invalidZeroPoint](Model* model) {
+                model->operands[operand].zeroPoint = invalidZeroPoint;
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE EXTRA ??? /////////////////////////
+
+// TODO: Operand::lifetime
+// TODO: Operand::location
+
+///////////////////////// VALIDATE OPERATION OPERAND TYPE /////////////////////////
+
+static void mutateOperand(Operand* operand, OperandType type) {
+    Operand newOperand = *operand;
+    newOperand.type = type;
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+            newOperand.dimensions = hidl_vec<uint32_t>();
+            newOperand.scale = 0.0f;
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_FLOAT32:
+            newOperand.dimensions =
+                operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
+            newOperand.scale = 0.0f;
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_INT32:
+            newOperand.dimensions =
+                operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            newOperand.dimensions =
+                operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
+            newOperand.scale = operand->scale != 0.0f ? operand->scale : 1.0f;
+            break;
+        case OperandType::OEM:
+        case OperandType::TENSOR_OEM_BYTE:
+        default:
+            break;
+    }
+    *operand = newOperand;
+}
+
+static bool mutateOperationOperandTypeSkip(size_t operand, const V1_0::Model& model) {
+    // LSH_PROJECTION's second argument is allowed to have any type. This is the
+    // only operation that currently has a type that can be anything independent
+    // from any other type. Changing the operand type to any other type will
+    // result in a valid model for LSH_PROJECTION. If this is the case, skip the
+    // test.
+    for (const Operation& operation : model.operations) {
+        if (operation.type == OperationType::LSH_PROJECTION && operand == operation.inputs[1]) {
+            return true;
+        }
+    }
+    return false;
+}
+
+static void mutateOperationOperandTypeTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        if (mutateOperationOperandTypeSkip(operand, model)) {
+            continue;
+        }
+        for (OperandType invalidOperandType : hidl_enum_iterator<OperandType>{}) {
+            // Do not test OEM types
+            if (invalidOperandType == model.operands[operand].type ||
+                invalidOperandType == OperandType::OEM ||
+                invalidOperandType == OperandType::TENSOR_OEM_BYTE) {
+                continue;
+            }
+            const std::string message = "mutateOperationOperandTypeTest: operand " +
+                                        std::to_string(operand) + " set to type " +
+                                        toString(invalidOperandType);
+            validate(device, message, model, [operand, invalidOperandType](Model* model) {
+                mutateOperand(&model->operands[operand], invalidOperandType);
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION TYPE /////////////////////////
+
+static const int32_t invalidOperationTypes[] = {
+    static_cast<int32_t>(OperationType::ADD) - 1,            // lower bound fundamental
+    static_cast<int32_t>(OperationType::TANH) + 1,           // upper bound fundamental
+    static_cast<int32_t>(OperationType::OEM_OPERATION) - 1,  // lower bound OEM
+    static_cast<int32_t>(OperationType::OEM_OPERATION) + 1,  // upper bound OEM
+};
+
+static void mutateOperationTypeTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        for (int32_t invalidOperationType : invalidOperationTypes) {
+            const std::string message = "mutateOperationTypeTest: operation " +
+                                        std::to_string(operation) + " set to value " +
+                                        std::to_string(invalidOperationType);
+            validate(device, message, model, [operation, invalidOperationType](Model* model) {
+                model->operations[operation].type =
+                    static_cast<OperationType>(invalidOperationType);
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION INPUT OPERAND INDEX /////////////////////////
+
+static void mutateOperationInputOperandIndexTest(const sp<IDevice>& device,
+                                                 const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const uint32_t invalidOperand = model.operands.size();
+        for (size_t input = 0; input < model.operations[operation].inputs.size(); ++input) {
+            const std::string message = "mutateOperationInputOperandIndexTest: operation " +
+                                        std::to_string(operation) + " input " +
+                                        std::to_string(input);
+            validate(device, message, model, [operation, input, invalidOperand](Model* model) {
+                model->operations[operation].inputs[input] = invalidOperand;
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION OUTPUT OPERAND INDEX /////////////////////////
+
+static void mutateOperationOutputOperandIndexTest(const sp<IDevice>& device,
+                                                  const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const uint32_t invalidOperand = model.operands.size();
+        for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) {
+            const std::string message = "mutateOperationOutputOperandIndexTest: operation " +
+                                        std::to_string(operation) + " output " +
+                                        std::to_string(output);
+            validate(device, message, model, [operation, output, invalidOperand](Model* model) {
+                model->operations[operation].outputs[output] = invalidOperand;
+            });
+        }
+    }
+}
+
+///////////////////////// REMOVE OPERAND FROM EVERYTHING /////////////////////////
+
+static void removeValueAndDecrementGreaterValues(hidl_vec<uint32_t>* vec, uint32_t value) {
+    if (vec) {
+        // remove elements matching "value"
+        auto last = std::remove(vec->begin(), vec->end(), value);
+        vec->resize(std::distance(vec->begin(), last));
+
+        // decrement elements exceeding "value"
+        std::transform(vec->begin(), vec->end(), vec->begin(),
+                       [value](uint32_t v) { return v > value ? v-- : v; });
+    }
+}
+
+static void removeOperand(Model* model, uint32_t index) {
+    hidl_vec_removeAt(&model->operands, index);
+    for (Operation& operation : model->operations) {
+        removeValueAndDecrementGreaterValues(&operation.inputs, index);
+        removeValueAndDecrementGreaterValues(&operation.outputs, index);
+    }
+    removeValueAndDecrementGreaterValues(&model->inputIndexes, index);
+    removeValueAndDecrementGreaterValues(&model->outputIndexes, index);
+}
+
+static void removeOperandTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const std::string message = "removeOperandTest: operand " + std::to_string(operand);
+        validate(device, message, model,
+                 [operand](Model* model) { removeOperand(model, operand); });
+    }
+}
+
+///////////////////////// REMOVE OPERATION /////////////////////////
+
+static void removeOperation(Model* model, uint32_t index) {
+    for (uint32_t operand : model->operations[index].inputs) {
+        model->operands[operand].numberOfConsumers--;
+    }
+    hidl_vec_removeAt(&model->operations, index);
+}
+
+static void removeOperationTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const std::string message = "removeOperationTest: operation " + std::to_string(operation);
+        validate(device, message, model,
+                 [operation](Model* model) { removeOperation(model, operation); });
+    }
+}
+
+///////////////////////// REMOVE OPERATION INPUT /////////////////////////
+
+static void removeOperationInputTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        for (size_t input = 0; input < model.operations[operation].inputs.size(); ++input) {
+            const V1_0::Operation& op = model.operations[operation];
+            // CONCATENATION has at least 2 inputs, with the last element being
+            // INT32. Skip this test if removing one of CONCATENATION's
+            // inputs still produces a valid model.
+            if (op.type == V1_0::OperationType::CONCATENATION && op.inputs.size() > 2 &&
+                input != op.inputs.size() - 1) {
+                continue;
+            }
+            const std::string message = "removeOperationInputTest: operation " +
+                                        std::to_string(operation) + ", input " +
+                                        std::to_string(input);
+            validate(device, message, model, [operation, input](Model* model) {
+                uint32_t operand = model->operations[operation].inputs[input];
+                model->operands[operand].numberOfConsumers--;
+                hidl_vec_removeAt(&model->operations[operation].inputs, input);
+            });
+        }
+    }
+}
+
+///////////////////////// REMOVE OPERATION OUTPUT /////////////////////////
+
+static void removeOperationOutputTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) {
+            const std::string message = "removeOperationOutputTest: operation " +
+                                        std::to_string(operation) + ", output " +
+                                        std::to_string(output);
+            validate(device, message, model, [operation, output](Model* model) {
+                hidl_vec_removeAt(&model->operations[operation].outputs, output);
+            });
+        }
+    }
+}
+
+///////////////////////// MODEL VALIDATION /////////////////////////
+
+// TODO: remove model input
+// TODO: remove model output
+// TODO: add unused operation
+
+///////////////////////// ADD OPERATION INPUT /////////////////////////
+
+static void addOperationInputTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const std::string message = "addOperationInputTest: operation " + std::to_string(operation);
+        validate(device, message, model, [operation](Model* model) {
+            uint32_t index = addOperand(model, OperandLifeTime::MODEL_INPUT);
+            hidl_vec_push_back(&model->operations[operation].inputs, index);
+            hidl_vec_push_back(&model->inputIndexes, index);
+        });
+    }
+}
+
+///////////////////////// ADD OPERATION OUTPUT /////////////////////////
+
+static void addOperationOutputTest(const sp<IDevice>& device, const V1_0::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const std::string message =
+            "addOperationOutputTest: operation " + std::to_string(operation);
+        validate(device, message, model, [operation](Model* model) {
+            uint32_t index = addOperand(model, OperandLifeTime::MODEL_OUTPUT);
+            hidl_vec_push_back(&model->operations[operation].outputs, index);
+            hidl_vec_push_back(&model->outputIndexes, index);
+        });
+    }
+}
+
+////////////////////////// ENTRY POINT //////////////////////////////
+
+void ValidationTest::validateModel(const V1_0::Model& model) {
+    mutateOperandTypeTest(device, model);
+    mutateOperandRankTest(device, model);
+    mutateOperandScaleTest(device, model);
+    mutateOperandZeroPointTest(device, model);
+    mutateOperationOperandTypeTest(device, model);
+    mutateOperationTypeTest(device, model);
+    mutateOperationInputOperandIndexTest(device, model);
+    mutateOperationOutputOperandIndexTest(device, model);
+    removeOperandTest(device, model);
+    removeOperationTest(device, model);
+    removeOperationInputTest(device, model);
+    removeOperationOutputTest(device, model);
+    addOperationInputTest(device, model);
+    addOperationOutputTest(device, model);
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_0
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.0/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.0/vts/functional/ValidateRequest.cpp
new file mode 100644
index 0000000..08f2613
--- /dev/null
+++ b/neuralnetworks/1.0/vts/functional/ValidateRequest.cpp
@@ -0,0 +1,261 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+#include "TestHarness.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/hidl/memory/1.0/IMemory.h>
+#include <hidlmemory/mapping.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::hidl::memory::V1_0::IMemory;
+using generated_tests::MixedTyped;
+using generated_tests::MixedTypedExampleType;
+using generated_tests::for_all;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+static void createPreparedModel(const sp<IDevice>& device, const V1_0::Model& model,
+                                sp<IPreparedModel>* preparedModel) {
+    ASSERT_NE(nullptr, preparedModel);
+
+    // see if service can handle model
+    bool fullySupportsModel = false;
+    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations(
+        model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
+            ASSERT_EQ(ErrorStatus::NONE, status);
+            ASSERT_NE(0ul, supported.size());
+            fullySupportsModel =
+                std::all_of(supported.begin(), supported.end(), [](bool valid) { return valid; });
+        });
+    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
+
+    // launch prepare model
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel(model, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
+
+    // retrieve prepared model
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    *preparedModel = preparedModelCallback->getPreparedModel();
+
+    // The getSupportedOperations call returns a list of operations that are
+    // guaranteed not to fail if prepareModel is called, and
+    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
+    // If a driver has any doubt that it can prepare an operation, it must
+    // return false. So here, if a driver isn't sure if it can support an
+    // operation, but reports that it successfully prepared the model, the test
+    // can continue.
+    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
+        ASSERT_EQ(nullptr, preparedModel->get());
+        LOG(INFO) << "NN VTS: Unable to test Request validation because vendor service cannot "
+                     "prepare model that it does not support.";
+        std::cout << "[          ]   Unable to test Request validation because vendor service "
+                     "cannot prepare model that it does not support."
+                  << std::endl;
+        return;
+    }
+    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+    ASSERT_NE(nullptr, preparedModel->get());
+}
+
+// Primary validation function. This function will take a valid request, apply a
+// mutation to it to invalidate the request, then pass it to interface calls
+// that use the request. Note that the request here is passed by value, and any
+// mutation to the request does not leave this function.
+static void validate(const sp<IPreparedModel>& preparedModel, const std::string& message,
+                     Request request, const std::function<void(Request*)>& mutation) {
+    mutation(&request);
+    SCOPED_TRACE(message + " [execute]");
+
+    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
+    ASSERT_NE(nullptr, executionCallback.get());
+    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
+    ASSERT_TRUE(executeLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
+
+    executionCallback->wait();
+    ErrorStatus executionReturnStatus = executionCallback->getStatus();
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus);
+}
+
+// Delete element from hidl_vec. hidl_vec doesn't support a "remove" operation,
+// so this is efficiently accomplished by moving the element to the end and
+// resizing the hidl_vec to one less.
+template <typename Type>
+static void hidl_vec_removeAt(hidl_vec<Type>* vec, uint32_t index) {
+    if (vec) {
+        std::rotate(vec->begin() + index, vec->begin() + index + 1, vec->end());
+        vec->resize(vec->size() - 1);
+    }
+}
+
+template <typename Type>
+static uint32_t hidl_vec_push_back(hidl_vec<Type>* vec, const Type& value) {
+    // assume vec is valid
+    const uint32_t index = vec->size();
+    vec->resize(index + 1);
+    (*vec)[index] = value;
+    return index;
+}
+
+///////////////////////// REMOVE INPUT ////////////////////////////////////
+
+static void removeInputTest(const sp<IPreparedModel>& preparedModel, const Request& request) {
+    for (size_t input = 0; input < request.inputs.size(); ++input) {
+        const std::string message = "removeInput: removed input " + std::to_string(input);
+        validate(preparedModel, message, request,
+                 [input](Request* request) { hidl_vec_removeAt(&request->inputs, input); });
+    }
+}
+
+///////////////////////// REMOVE OUTPUT ////////////////////////////////////
+
+static void removeOutputTest(const sp<IPreparedModel>& preparedModel, const Request& request) {
+    for (size_t output = 0; output < request.outputs.size(); ++output) {
+        const std::string message = "removeOutput: removed Output " + std::to_string(output);
+        validate(preparedModel, message, request,
+                 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); });
+    }
+}
+
+///////////////////////////// ENTRY POINT //////////////////////////////////
+
+std::vector<Request> createRequests(const std::vector<MixedTypedExampleType>& examples) {
+    const uint32_t INPUT = 0;
+    const uint32_t OUTPUT = 1;
+
+    std::vector<Request> requests;
+
+    for (auto& example : examples) {
+        const MixedTyped& inputs = example.first;
+        const MixedTyped& outputs = example.second;
+
+        std::vector<RequestArgument> inputs_info, outputs_info;
+        uint32_t inputSize = 0, outputSize = 0;
+
+        // This function only partially specifies the metadata (vector of RequestArguments).
+        // The contents are copied over below.
+        for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) {
+            if (inputs_info.size() <= static_cast<size_t>(index)) inputs_info.resize(index + 1);
+            RequestArgument arg = {
+                .location = {.poolIndex = INPUT, .offset = 0, .length = static_cast<uint32_t>(s)},
+                .dimensions = {},
+            };
+            RequestArgument arg_empty = {
+                .hasNoValue = true,
+            };
+            inputs_info[index] = s ? arg : arg_empty;
+            inputSize += s;
+        });
+        // Compute offset for inputs 1 and so on
+        {
+            size_t offset = 0;
+            for (auto& i : inputs_info) {
+                if (!i.hasNoValue) i.location.offset = offset;
+                offset += i.location.length;
+            }
+        }
+
+        // Go through all outputs, initialize RequestArgument descriptors
+        for_all(outputs, [&outputs_info, &outputSize](int index, auto, auto s) {
+            if (outputs_info.size() <= static_cast<size_t>(index)) outputs_info.resize(index + 1);
+            RequestArgument arg = {
+                .location = {.poolIndex = OUTPUT, .offset = 0, .length = static_cast<uint32_t>(s)},
+                .dimensions = {},
+            };
+            outputs_info[index] = arg;
+            outputSize += s;
+        });
+        // Compute offset for outputs 1 and so on
+        {
+            size_t offset = 0;
+            for (auto& i : outputs_info) {
+                i.location.offset = offset;
+                offset += i.location.length;
+            }
+        }
+        std::vector<hidl_memory> pools = {nn::allocateSharedMemory(inputSize),
+                                          nn::allocateSharedMemory(outputSize)};
+        if (pools[INPUT].size() == 0 || pools[OUTPUT].size() == 0) {
+            return {};
+        }
+
+        // map pool
+        sp<IMemory> inputMemory = mapMemory(pools[INPUT]);
+        if (inputMemory == nullptr) {
+            return {};
+        }
+        char* inputPtr = reinterpret_cast<char*>(static_cast<void*>(inputMemory->getPointer()));
+        if (inputPtr == nullptr) {
+            return {};
+        }
+
+        // initialize pool
+        inputMemory->update();
+        for_all(inputs, [&inputs_info, inputPtr](int index, auto p, auto s) {
+            char* begin = (char*)p;
+            char* end = begin + s;
+            // TODO: handle more than one input
+            std::copy(begin, end, inputPtr + inputs_info[index].location.offset);
+        });
+        inputMemory->commit();
+
+        requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools});
+    }
+
+    return requests;
+}
+
+void ValidationTest::validateRequests(const V1_0::Model& model,
+                                      const std::vector<Request>& requests) {
+    // create IPreparedModel
+    sp<IPreparedModel> preparedModel;
+    ASSERT_NO_FATAL_FAILURE(createPreparedModel(device, model, &preparedModel));
+    if (preparedModel == nullptr) {
+        return;
+    }
+
+    // validate each request
+    for (const Request& request : requests) {
+        removeInputTest(preparedModel, request);
+        removeOutputTest(preparedModel, request);
+    }
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_0
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.0/vts/functional/ValidationTests.cpp b/neuralnetworks/1.0/vts/functional/ValidationTests.cpp
new file mode 100644
index 0000000..98fc1c5
--- /dev/null
+++ b/neuralnetworks/1.0/vts/functional/ValidationTests.cpp
@@ -0,0 +1,50 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "Models.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
+
+// forward declarations
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
+// generate validation tests
+#define VTS_CURRENT_TEST_CASE(TestName)                                           \
+    TEST_F(ValidationTest, TestName) {                                            \
+        const Model model = TestName::createTestModel();                          \
+        const std::vector<Request> requests = createRequests(TestName::examples); \
+        validateModel(model);                                                     \
+        validateRequests(model, requests);                                        \
+    }
+
+FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
+
+#undef VTS_CURRENT_TEST_CASE
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_0
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0.cpp b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworks.cpp
similarity index 64%
rename from neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0.cpp
rename to neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworks.cpp
index b14fb2c..1ff3b66 100644
--- a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0.cpp
+++ b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworks.cpp
@@ -16,15 +16,7 @@
 
 #define LOG_TAG "neuralnetworks_hidl_hal_test"
 
-#include "VtsHalNeuralnetworksV1_0.h"
-#include "Utils.h"
-
-#include <android-base/logging.h>
-
-using ::android::hardware::hidl_memory;
-using ::android::hidl::allocator::V1_0::IAllocator;
-using ::android::hidl::memory::V1_0::IMemory;
-using ::android::sp;
+#include "VtsHalNeuralnetworks.h"
 
 namespace android {
 namespace hardware {
@@ -33,11 +25,6 @@
 namespace vts {
 namespace functional {
 
-// allocator helper
-hidl_memory allocateSharedMemory(int64_t size) {
-    return nn::allocateSharedMemory(size);
-}
-
 // A class for test environment setup
 NeuralnetworksHidlEnvironment::NeuralnetworksHidlEnvironment() {}
 
@@ -51,23 +38,49 @@
 }
 
 void NeuralnetworksHidlEnvironment::registerTestServices() {
-    registerTestService<V1_0::IDevice>();
+    registerTestService<IDevice>();
 }
 
 // The main test class for NEURALNETWORK HIDL HAL.
+NeuralnetworksHidlTest::NeuralnetworksHidlTest() {}
+
 NeuralnetworksHidlTest::~NeuralnetworksHidlTest() {}
 
 void NeuralnetworksHidlTest::SetUp() {
-    device = ::testing::VtsHalHidlTargetTestBase::getService<V1_0::IDevice>(
+    ::testing::VtsHalHidlTargetTestBase::SetUp();
+    device = ::testing::VtsHalHidlTargetTestBase::getService<IDevice>(
         NeuralnetworksHidlEnvironment::getInstance());
     ASSERT_NE(nullptr, device.get());
 }
 
-void NeuralnetworksHidlTest::TearDown() {}
+void NeuralnetworksHidlTest::TearDown() {
+    device = nullptr;
+    ::testing::VtsHalHidlTargetTestBase::TearDown();
+}
 
 }  // namespace functional
 }  // namespace vts
+
+::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus) {
+    return os << toString(errorStatus);
+}
+
+::std::ostream& operator<<(::std::ostream& os, DeviceStatus deviceStatus) {
+    return os << toString(deviceStatus);
+}
+
 }  // namespace V1_0
 }  // namespace neuralnetworks
 }  // namespace hardware
 }  // namespace android
+
+using android::hardware::neuralnetworks::V1_0::vts::functional::NeuralnetworksHidlEnvironment;
+
+int main(int argc, char** argv) {
+    ::testing::AddGlobalTestEnvironment(NeuralnetworksHidlEnvironment::getInstance());
+    ::testing::InitGoogleTest(&argc, argv);
+    NeuralnetworksHidlEnvironment::getInstance()->init(&argc, argv);
+
+    int status = RUN_ALL_TESTS();
+    return status;
+}
diff --git a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0.h b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworks.h
similarity index 60%
rename from neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0.h
rename to neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworks.h
index fbb1607..e79129b 100644
--- a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0.h
+++ b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworks.h
@@ -18,16 +18,15 @@
 #define VTS_HAL_NEURALNETWORKS_V1_0_TARGET_TESTS_H
 
 #include <android/hardware/neuralnetworks/1.0/IDevice.h>
-#include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
-#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
-#include <android/hardware/neuralnetworks/1.0/IPreparedModelCallback.h>
 #include <android/hardware/neuralnetworks/1.0/types.h>
-#include <android/hidl/allocator/1.0/IAllocator.h>
 
 #include <VtsHalHidlTargetTestBase.h>
 #include <VtsHalHidlTargetTestEnvBase.h>
+
+#include <android-base/macros.h>
 #include <gtest/gtest.h>
-#include <string>
+#include <iostream>
+#include <vector>
 
 namespace android {
 namespace hardware {
@@ -36,47 +35,47 @@
 namespace vts {
 namespace functional {
 
-hidl_memory allocateSharedMemory(int64_t size);
-
 // A class for test environment setup
 class NeuralnetworksHidlEnvironment : public ::testing::VtsHalHidlTargetTestEnvBase {
+    DISALLOW_COPY_AND_ASSIGN(NeuralnetworksHidlEnvironment);
     NeuralnetworksHidlEnvironment();
-    NeuralnetworksHidlEnvironment(const NeuralnetworksHidlEnvironment&) = delete;
-    NeuralnetworksHidlEnvironment(NeuralnetworksHidlEnvironment&&) = delete;
-    NeuralnetworksHidlEnvironment& operator=(const NeuralnetworksHidlEnvironment&) = delete;
-    NeuralnetworksHidlEnvironment& operator=(NeuralnetworksHidlEnvironment&&) = delete;
+    ~NeuralnetworksHidlEnvironment() override;
 
    public:
-    ~NeuralnetworksHidlEnvironment() override;
     static NeuralnetworksHidlEnvironment* getInstance();
     void registerTestServices() override;
 };
 
 // The main test class for NEURALNETWORKS HIDL HAL.
 class NeuralnetworksHidlTest : public ::testing::VtsHalHidlTargetTestBase {
+    DISALLOW_COPY_AND_ASSIGN(NeuralnetworksHidlTest);
+
    public:
+    NeuralnetworksHidlTest();
     ~NeuralnetworksHidlTest() override;
     void SetUp() override;
     void TearDown() override;
 
-    sp<V1_0::IDevice> device;
+   protected:
+    sp<IDevice> device;
 };
+
+// Tag for the validation tests
+class ValidationTest : public NeuralnetworksHidlTest {
+   protected:
+    void validateModel(const Model& model);
+    void validateRequests(const Model& model, const std::vector<Request>& request);
+};
+
+// Tag for the generated tests
+class GeneratedTest : public NeuralnetworksHidlTest {};
+
 }  // namespace functional
 }  // namespace vts
 
 // pretty-print values for error messages
-
-template <typename CharT, typename Traits>
-::std::basic_ostream<CharT, Traits>& operator<<(::std::basic_ostream<CharT, Traits>& os,
-                                                V1_0::ErrorStatus errorStatus) {
-    return os << toString(errorStatus);
-}
-
-template <typename CharT, typename Traits>
-::std::basic_ostream<CharT, Traits>& operator<<(::std::basic_ostream<CharT, Traits>& os,
-                                                V1_0::DeviceStatus deviceStatus) {
-    return os << toString(deviceStatus);
-}
+::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus);
+::std::ostream& operator<<(::std::ostream& os, DeviceStatus deviceStatus);
 
 }  // namespace V1_0
 }  // namespace neuralnetworks
diff --git a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0BasicTest.cpp b/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0BasicTest.cpp
deleted file mode 100644
index 59e5b80..0000000
--- a/neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0BasicTest.cpp
+++ /dev/null
@@ -1,293 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "VtsHalNeuralnetworksV1_0.h"
-
-#include "Callbacks.h"
-#include "Models.h"
-#include "TestHarness.h"
-
-#include <android-base/logging.h>
-#include <android/hidl/memory/1.0/IMemory.h>
-#include <hidlmemory/mapping.h>
-
-using ::android::hardware::neuralnetworks::V1_0::IDevice;
-using ::android::hardware::neuralnetworks::V1_0::IPreparedModel;
-using ::android::hardware::neuralnetworks::V1_0::Capabilities;
-using ::android::hardware::neuralnetworks::V1_0::DeviceStatus;
-using ::android::hardware::neuralnetworks::V1_0::FusedActivationFunc;
-using ::android::hardware::neuralnetworks::V1_0::Model;
-using ::android::hardware::neuralnetworks::V1_0::OperationType;
-using ::android::hardware::neuralnetworks::V1_0::PerformanceInfo;
-using ::android::hardware::Return;
-using ::android::hardware::Void;
-using ::android::hardware::hidl_memory;
-using ::android::hardware::hidl_string;
-using ::android::hardware::hidl_vec;
-using ::android::hidl::allocator::V1_0::IAllocator;
-using ::android::hidl::memory::V1_0::IMemory;
-using ::android::sp;
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_0 {
-namespace vts {
-namespace functional {
-using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
-
-static void doPrepareModelShortcut(const sp<IDevice>& device, sp<IPreparedModel>* preparedModel) {
-    ASSERT_NE(nullptr, preparedModel);
-    Model model = createValidTestModel_1_0();
-
-    // see if service can handle model
-    bool fullySupportsModel = false;
-    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations(
-        model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
-            ASSERT_EQ(ErrorStatus::NONE, status);
-            ASSERT_NE(0ul, supported.size());
-            fullySupportsModel =
-                std::all_of(supported.begin(), supported.end(), [](bool valid) { return valid; });
-        });
-    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
-
-    // launch prepare model
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel(model, preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    // retrieve prepared model
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    *preparedModel = preparedModelCallback->getPreparedModel();
-
-    // The getSupportedOperations call returns a list of operations that are
-    // guaranteed not to fail if prepareModel is called, and
-    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
-    // If a driver has any doubt that it can prepare an operation, it must
-    // return false. So here, if a driver isn't sure if it can support an
-    // operation, but reports that it successfully prepared the model, the test
-    // can continue.
-    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
-        ASSERT_EQ(nullptr, preparedModel->get());
-        LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
-                     "prepare model that it does not support.";
-        std::cout << "[          ]   Early termination of test because vendor service cannot "
-                     "prepare model that it does not support."
-                  << std::endl;
-        return;
-    }
-    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
-    ASSERT_NE(nullptr, preparedModel->get());
-}
-
-// create device test
-TEST_F(NeuralnetworksHidlTest, CreateDevice) {}
-
-// status test
-TEST_F(NeuralnetworksHidlTest, StatusTest) {
-    Return<DeviceStatus> status = device->getStatus();
-    ASSERT_TRUE(status.isOk());
-    EXPECT_EQ(DeviceStatus::AVAILABLE, static_cast<DeviceStatus>(status));
-}
-
-// initialization
-TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
-    Return<void> ret =
-        device->getCapabilities([](ErrorStatus status, const Capabilities& capabilities) {
-            EXPECT_EQ(ErrorStatus::NONE, status);
-            EXPECT_LT(0.0f, capabilities.float32Performance.execTime);
-            EXPECT_LT(0.0f, capabilities.float32Performance.powerUsage);
-            EXPECT_LT(0.0f, capabilities.quantized8Performance.execTime);
-            EXPECT_LT(0.0f, capabilities.quantized8Performance.powerUsage);
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// supported operations positive test
-TEST_F(NeuralnetworksHidlTest, SupportedOperationsPositiveTest) {
-    Model model = createValidTestModel_1_0();
-    Return<void> ret = device->getSupportedOperations(
-        model, [&](ErrorStatus status, const hidl_vec<bool>& supported) {
-            EXPECT_EQ(ErrorStatus::NONE, status);
-            EXPECT_EQ(model.operations.size(), supported.size());
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// supported operations negative test 1
-TEST_F(NeuralnetworksHidlTest, SupportedOperationsNegativeTest1) {
-    Model model = createInvalidTestModel1_1_0();
-    Return<void> ret = device->getSupportedOperations(
-        model, [&](ErrorStatus status, const hidl_vec<bool>& supported) {
-            EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
-            (void)supported;
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// supported operations negative test 2
-TEST_F(NeuralnetworksHidlTest, SupportedOperationsNegativeTest2) {
-    Model model = createInvalidTestModel2_1_0();
-    Return<void> ret = device->getSupportedOperations(
-        model, [&](ErrorStatus status, const hidl_vec<bool>& supported) {
-            EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
-            (void)supported;
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// prepare simple model positive test
-TEST_F(NeuralnetworksHidlTest, SimplePrepareModelPositiveTest) {
-    sp<IPreparedModel> preparedModel;
-    doPrepareModelShortcut(device, &preparedModel);
-}
-
-// prepare simple model negative test 1
-TEST_F(NeuralnetworksHidlTest, SimplePrepareModelNegativeTest1) {
-    Model model = createInvalidTestModel1_1_0();
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel(model, preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, prepareReturnStatus);
-    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
-    EXPECT_EQ(nullptr, preparedModel.get());
-}
-
-// prepare simple model negative test 2
-TEST_F(NeuralnetworksHidlTest, SimplePrepareModelNegativeTest2) {
-    Model model = createInvalidTestModel2_1_0();
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel(model, preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, prepareReturnStatus);
-    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
-    EXPECT_EQ(nullptr, preparedModel.get());
-}
-
-// execute simple graph positive test
-TEST_F(NeuralnetworksHidlTest, SimpleExecuteGraphPositiveTest) {
-    std::vector<float> outputData = {-1.0f, -1.0f, -1.0f, -1.0f};
-    std::vector<float> expectedData = {6.0f, 8.0f, 10.0f, 12.0f};
-    const uint32_t OUTPUT = 1;
-
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(doPrepareModelShortcut(device, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-    Request request = createValidTestRequest();
-
-    auto postWork = [&] {
-        sp<IMemory> outputMemory = mapMemory(request.pools[OUTPUT]);
-        if (outputMemory == nullptr) {
-            return false;
-        }
-        float* outputPtr = reinterpret_cast<float*>(static_cast<void*>(outputMemory->getPointer()));
-        if (outputPtr == nullptr) {
-            return false;
-        }
-        outputMemory->read();
-        std::copy(outputPtr, outputPtr + outputData.size(), outputData.begin());
-        outputMemory->commit();
-        return true;
-    };
-
-    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
-    ASSERT_NE(nullptr, executionCallback.get());
-    executionCallback->on_finish(postWork);
-    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
-    ASSERT_TRUE(executeLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(executeLaunchStatus));
-
-    executionCallback->wait();
-    ErrorStatus executionReturnStatus = executionCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::NONE, executionReturnStatus);
-    EXPECT_EQ(expectedData, outputData);
-}
-
-// execute simple graph negative test 1
-TEST_F(NeuralnetworksHidlTest, SimpleExecuteGraphNegativeTest1) {
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(doPrepareModelShortcut(device, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-    Request request = createInvalidTestRequest1();
-
-    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
-    ASSERT_NE(nullptr, executionCallback.get());
-    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
-    ASSERT_TRUE(executeLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
-
-    executionCallback->wait();
-    ErrorStatus executionReturnStatus = executionCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus);
-}
-
-// execute simple graph negative test 2
-TEST_F(NeuralnetworksHidlTest, SimpleExecuteGraphNegativeTest2) {
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(doPrepareModelShortcut(device, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-    Request request = createInvalidTestRequest2();
-
-    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
-    ASSERT_NE(nullptr, executionCallback.get());
-    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
-    ASSERT_TRUE(executeLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
-
-    executionCallback->wait();
-    ErrorStatus executionReturnStatus = executionCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus);
-}
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_0
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
-
-using android::hardware::neuralnetworks::V1_0::vts::functional::NeuralnetworksHidlEnvironment;
-
-int main(int argc, char** argv) {
-    ::testing::AddGlobalTestEnvironment(NeuralnetworksHidlEnvironment::getInstance());
-    ::testing::InitGoogleTest(&argc, argv);
-    NeuralnetworksHidlEnvironment::getInstance()->init(&argc, argv);
-
-    int status = RUN_ALL_TESTS();
-    return status;
-}
diff --git a/neuralnetworks/1.1/vts/functional/Android.bp b/neuralnetworks/1.1/vts/functional/Android.bp
index 947ca2c..f755c20 100644
--- a/neuralnetworks/1.1/vts/functional/Android.bp
+++ b/neuralnetworks/1.1/vts/functional/Android.bp
@@ -17,9 +17,12 @@
 cc_test {
     name: "VtsHalNeuralnetworksV1_1TargetTest",
     srcs: [
-        "VtsHalNeuralnetworksV1_1.cpp",
-        "VtsHalNeuralnetworksV1_1BasicTest.cpp",
-        "VtsHalNeuralnetworksV1_1GeneratedTest.cpp",
+        "BasicTests.cpp",
+        "GeneratedTests.cpp",
+        "ValidateModel.cpp",
+        "ValidateRequest.cpp",
+        "ValidationTests.cpp",
+        "VtsHalNeuralnetworks.cpp",
     ],
     defaults: ["VtsHalTargetTestDefaults"],
     static_libs: [
diff --git a/neuralnetworks/1.1/vts/functional/BasicTests.cpp b/neuralnetworks/1.1/vts/functional/BasicTests.cpp
new file mode 100644
index 0000000..ed59a2d
--- /dev/null
+++ b/neuralnetworks/1.1/vts/functional/BasicTests.cpp
@@ -0,0 +1,58 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_1 {
+namespace vts {
+namespace functional {
+
+// create device test
+TEST_F(NeuralnetworksHidlTest, CreateDevice) {}
+
+// status test
+TEST_F(NeuralnetworksHidlTest, StatusTest) {
+    Return<DeviceStatus> status = device->getStatus();
+    ASSERT_TRUE(status.isOk());
+    EXPECT_EQ(DeviceStatus::AVAILABLE, static_cast<DeviceStatus>(status));
+}
+
+// initialization
+TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
+    Return<void> ret =
+        device->getCapabilities_1_1([](ErrorStatus status, const Capabilities& capabilities) {
+            EXPECT_EQ(ErrorStatus::NONE, status);
+            EXPECT_LT(0.0f, capabilities.float32Performance.execTime);
+            EXPECT_LT(0.0f, capabilities.float32Performance.powerUsage);
+            EXPECT_LT(0.0f, capabilities.quantized8Performance.execTime);
+            EXPECT_LT(0.0f, capabilities.quantized8Performance.powerUsage);
+            EXPECT_LT(0.0f, capabilities.relaxedFloat32toFloat16Performance.execTime);
+            EXPECT_LT(0.0f, capabilities.relaxedFloat32toFloat16Performance.powerUsage);
+        });
+    EXPECT_TRUE(ret.isOk());
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_1
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
new file mode 100644
index 0000000..1f1cc7a
--- /dev/null
+++ b/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
@@ -0,0 +1,59 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+#include "TestHarness.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/hidl/memory/1.0/IMemory.h>
+#include <hidlmemory/mapping.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+
+namespace generated_tests {
+using ::generated_tests::MixedTypedExampleType;
+extern void Execute(const sp<V1_1::IDevice>&, std::function<V1_1::Model(void)>,
+                    std::function<bool(int)>, const std::vector<MixedTypedExampleType>&);
+}  // namespace generated_tests
+
+namespace V1_1 {
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::nn::allocateSharedMemory;
+
+// Mixed-typed examples
+typedef generated_tests::MixedTypedExampleType MixedTypedExample;
+
+// in frameworks/ml/nn/runtime/tests/generated/
+#include "all_generated_V1_0_vts_tests.cpp"
+#include "all_generated_V1_1_vts_tests.cpp"
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_1
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/Models.h b/neuralnetworks/1.1/vts/functional/Models.h
new file mode 100644
index 0000000..c3cadb5
--- /dev/null
+++ b/neuralnetworks/1.1/vts/functional/Models.h
@@ -0,0 +1,323 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
+#define VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "TestHarness.h"
+
+#include <android/hardware/neuralnetworks/1.0/types.h>
+#include <android/hardware/neuralnetworks/1.1/types.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_1 {
+namespace vts {
+namespace functional {
+
+using MixedTypedExample = generated_tests::MixedTypedExampleType;
+
+#define FOR_EACH_TEST_MODEL(FN)                                \
+    FN(add)                                                    \
+    FN(add_broadcast_quant8)                                   \
+    FN(add_quant8)                                             \
+    FN(add_relaxed)                                            \
+    FN(avg_pool_float_1)                                       \
+    FN(avg_pool_float_1_relaxed)                               \
+    FN(avg_pool_float_2)                                       \
+    FN(avg_pool_float_2_relaxed)                               \
+    FN(avg_pool_float_3)                                       \
+    FN(avg_pool_float_3_relaxed)                               \
+    FN(avg_pool_float_4)                                       \
+    FN(avg_pool_float_4_relaxed)                               \
+    FN(avg_pool_float_5)                                       \
+    FN(avg_pool_quant8_1)                                      \
+    FN(avg_pool_quant8_2)                                      \
+    FN(avg_pool_quant8_3)                                      \
+    FN(avg_pool_quant8_4)                                      \
+    FN(avg_pool_quant8_5)                                      \
+    FN(batch_to_space)                                         \
+    FN(batch_to_space_float_1)                                 \
+    FN(batch_to_space_quant8_1)                                \
+    FN(concat_float_1)                                         \
+    FN(concat_float_1_relaxed)                                 \
+    FN(concat_float_2)                                         \
+    FN(concat_float_2_relaxed)                                 \
+    FN(concat_float_3)                                         \
+    FN(concat_float_3_relaxed)                                 \
+    FN(concat_quant8_1)                                        \
+    FN(concat_quant8_2)                                        \
+    FN(concat_quant8_3)                                        \
+    FN(conv_1_h3_w2_SAME)                                      \
+    FN(conv_1_h3_w2_SAME_relaxed)                              \
+    FN(conv_1_h3_w2_VALID)                                     \
+    FN(conv_1_h3_w2_VALID_relaxed)                             \
+    FN(conv_3_h3_w2_SAME)                                      \
+    FN(conv_3_h3_w2_SAME_relaxed)                              \
+    FN(conv_3_h3_w2_VALID)                                     \
+    FN(conv_3_h3_w2_VALID_relaxed)                             \
+    FN(conv_float)                                             \
+    FN(conv_float_2)                                           \
+    FN(conv_float_channels)                                    \
+    FN(conv_float_channels_relaxed)                            \
+    FN(conv_float_channels_weights_as_inputs)                  \
+    FN(conv_float_channels_weights_as_inputs_relaxed)          \
+    FN(conv_float_large)                                       \
+    FN(conv_float_large_relaxed)                               \
+    FN(conv_float_large_weights_as_inputs)                     \
+    FN(conv_float_large_weights_as_inputs_relaxed)             \
+    FN(conv_float_relaxed)                                     \
+    FN(conv_float_weights_as_inputs)                           \
+    FN(conv_float_weights_as_inputs_relaxed)                   \
+    FN(conv_quant8)                                            \
+    FN(conv_quant8_2)                                          \
+    FN(conv_quant8_channels)                                   \
+    FN(conv_quant8_channels_weights_as_inputs)                 \
+    FN(conv_quant8_large)                                      \
+    FN(conv_quant8_large_weights_as_inputs)                    \
+    FN(conv_quant8_overflow)                                   \
+    FN(conv_quant8_overflow_weights_as_inputs)                 \
+    FN(conv_quant8_weights_as_inputs)                          \
+    FN(depth_to_space_float_1)                                 \
+    FN(depth_to_space_float_1_relaxed)                         \
+    FN(depth_to_space_float_2)                                 \
+    FN(depth_to_space_float_2_relaxed)                         \
+    FN(depth_to_space_float_3)                                 \
+    FN(depth_to_space_float_3_relaxed)                         \
+    FN(depth_to_space_quant8_1)                                \
+    FN(depth_to_space_quant8_2)                                \
+    FN(depthwise_conv)                                         \
+    FN(depthwise_conv2d_float)                                 \
+    FN(depthwise_conv2d_float_2)                               \
+    FN(depthwise_conv2d_float_large)                           \
+    FN(depthwise_conv2d_float_large_2)                         \
+    FN(depthwise_conv2d_float_large_2_weights_as_inputs)       \
+    FN(depthwise_conv2d_float_large_relaxed)                   \
+    FN(depthwise_conv2d_float_large_weights_as_inputs)         \
+    FN(depthwise_conv2d_float_large_weights_as_inputs_relaxed) \
+    FN(depthwise_conv2d_float_weights_as_inputs)               \
+    FN(depthwise_conv2d_quant8)                                \
+    FN(depthwise_conv2d_quant8_2)                              \
+    FN(depthwise_conv2d_quant8_large)                          \
+    FN(depthwise_conv2d_quant8_large_weights_as_inputs)        \
+    FN(depthwise_conv2d_quant8_weights_as_inputs)              \
+    FN(depthwise_conv_relaxed)                                 \
+    FN(dequantize)                                             \
+    FN(div)                                                    \
+    FN(embedding_lookup)                                       \
+    FN(embedding_lookup_relaxed)                               \
+    FN(floor)                                                  \
+    FN(floor_relaxed)                                          \
+    FN(fully_connected_float)                                  \
+    FN(fully_connected_float_2)                                \
+    FN(fully_connected_float_large)                            \
+    FN(fully_connected_float_large_weights_as_inputs)          \
+    FN(fully_connected_float_relaxed)                          \
+    FN(fully_connected_float_weights_as_inputs)                \
+    FN(fully_connected_float_weights_as_inputs_relaxed)        \
+    FN(fully_connected_quant8)                                 \
+    FN(fully_connected_quant8_2)                               \
+    FN(fully_connected_quant8_large)                           \
+    FN(fully_connected_quant8_large_weights_as_inputs)         \
+    FN(fully_connected_quant8_weights_as_inputs)               \
+    FN(hashtable_lookup_float)                                 \
+    FN(hashtable_lookup_float_relaxed)                         \
+    FN(hashtable_lookup_quant8)                                \
+    FN(l2_normalization)                                       \
+    FN(l2_normalization_2)                                     \
+    FN(l2_normalization_large)                                 \
+    FN(l2_normalization_large_relaxed)                         \
+    FN(l2_normalization_relaxed)                               \
+    FN(l2_pool_float)                                          \
+    FN(l2_pool_float_2)                                        \
+    FN(l2_pool_float_large)                                    \
+    FN(l2_pool_float_relaxed)                                  \
+    FN(local_response_norm_float_1)                            \
+    FN(local_response_norm_float_1_relaxed)                    \
+    FN(local_response_norm_float_2)                            \
+    FN(local_response_norm_float_2_relaxed)                    \
+    FN(local_response_norm_float_3)                            \
+    FN(local_response_norm_float_3_relaxed)                    \
+    FN(local_response_norm_float_4)                            \
+    FN(local_response_norm_float_4_relaxed)                    \
+    FN(logistic_float_1)                                       \
+    FN(logistic_float_1_relaxed)                               \
+    FN(logistic_float_2)                                       \
+    FN(logistic_float_2_relaxed)                               \
+    FN(logistic_quant8_1)                                      \
+    FN(logistic_quant8_2)                                      \
+    FN(lsh_projection)                                         \
+    FN(lsh_projection_2)                                       \
+    FN(lsh_projection_2_relaxed)                               \
+    FN(lsh_projection_relaxed)                                 \
+    FN(lsh_projection_weights_as_inputs)                       \
+    FN(lsh_projection_weights_as_inputs_relaxed)               \
+    FN(lstm)                                                   \
+    FN(lstm2)                                                  \
+    FN(lstm2_relaxed)                                          \
+    FN(lstm2_state)                                            \
+    FN(lstm2_state2)                                           \
+    FN(lstm2_state2_relaxed)                                   \
+    FN(lstm2_state_relaxed)                                    \
+    FN(lstm3)                                                  \
+    FN(lstm3_relaxed)                                          \
+    FN(lstm3_state)                                            \
+    FN(lstm3_state2)                                           \
+    FN(lstm3_state2_relaxed)                                   \
+    FN(lstm3_state3)                                           \
+    FN(lstm3_state3_relaxed)                                   \
+    FN(lstm3_state_relaxed)                                    \
+    FN(lstm_relaxed)                                           \
+    FN(lstm_state)                                             \
+    FN(lstm_state2)                                            \
+    FN(lstm_state2_relaxed)                                    \
+    FN(lstm_state_relaxed)                                     \
+    FN(max_pool_float_1)                                       \
+    FN(max_pool_float_1_relaxed)                               \
+    FN(max_pool_float_2)                                       \
+    FN(max_pool_float_2_relaxed)                               \
+    FN(max_pool_float_3)                                       \
+    FN(max_pool_float_3_relaxed)                               \
+    FN(max_pool_float_4)                                       \
+    FN(max_pool_quant8_1)                                      \
+    FN(max_pool_quant8_2)                                      \
+    FN(max_pool_quant8_3)                                      \
+    FN(max_pool_quant8_4)                                      \
+    FN(mean)                                                   \
+    FN(mean_float_1)                                           \
+    FN(mean_float_2)                                           \
+    FN(mean_quant8_1)                                          \
+    FN(mean_quant8_2)                                          \
+    FN(mobilenet_224_gender_basic_fixed)                       \
+    FN(mobilenet_224_gender_basic_fixed_relaxed)               \
+    FN(mobilenet_quantized)                                    \
+    FN(mul)                                                    \
+    FN(mul_broadcast_quant8)                                   \
+    FN(mul_quant8)                                             \
+    FN(mul_relaxed)                                            \
+    FN(mul_relu)                                               \
+    FN(mul_relu_relaxed)                                       \
+    FN(pad)                                                    \
+    FN(pad_float_1)                                            \
+    FN(relu1_float_1)                                          \
+    FN(relu1_float_1_relaxed)                                  \
+    FN(relu1_float_2)                                          \
+    FN(relu1_float_2_relaxed)                                  \
+    FN(relu1_quant8_1)                                         \
+    FN(relu1_quant8_2)                                         \
+    FN(relu6_float_1)                                          \
+    FN(relu6_float_1_relaxed)                                  \
+    FN(relu6_float_2)                                          \
+    FN(relu6_float_2_relaxed)                                  \
+    FN(relu6_quant8_1)                                         \
+    FN(relu6_quant8_2)                                         \
+    FN(relu_float_1)                                           \
+    FN(relu_float_1_relaxed)                                   \
+    FN(relu_float_2)                                           \
+    FN(relu_quant8_1)                                          \
+    FN(relu_quant8_2)                                          \
+    FN(reshape)                                                \
+    FN(reshape_quant8)                                         \
+    FN(reshape_quant8_weights_as_inputs)                       \
+    FN(reshape_relaxed)                                        \
+    FN(reshape_weights_as_inputs)                              \
+    FN(reshape_weights_as_inputs_relaxed)                      \
+    FN(resize_bilinear)                                        \
+    FN(resize_bilinear_2)                                      \
+    FN(resize_bilinear_relaxed)                                \
+    FN(rnn)                                                    \
+    FN(rnn_relaxed)                                            \
+    FN(rnn_state)                                              \
+    FN(rnn_state_relaxed)                                      \
+    FN(softmax_float_1)                                        \
+    FN(softmax_float_1_relaxed)                                \
+    FN(softmax_float_2)                                        \
+    FN(softmax_float_2_relaxed)                                \
+    FN(softmax_quant8_1)                                       \
+    FN(softmax_quant8_2)                                       \
+    FN(space_to_batch)                                         \
+    FN(space_to_batch_float_1)                                 \
+    FN(space_to_batch_float_2)                                 \
+    FN(space_to_batch_float_3)                                 \
+    FN(space_to_batch_quant8_1)                                \
+    FN(space_to_batch_quant8_2)                                \
+    FN(space_to_batch_quant8_3)                                \
+    FN(space_to_depth_float_1)                                 \
+    FN(space_to_depth_float_1_relaxed)                         \
+    FN(space_to_depth_float_2)                                 \
+    FN(space_to_depth_float_2_relaxed)                         \
+    FN(space_to_depth_float_3)                                 \
+    FN(space_to_depth_float_3_relaxed)                         \
+    FN(space_to_depth_quant8_1)                                \
+    FN(space_to_depth_quant8_2)                                \
+    FN(squeeze)                                                \
+    FN(squeeze_float_1)                                        \
+    FN(squeeze_quant8_1)                                       \
+    FN(strided_slice)                                          \
+    FN(strided_slice_float_1)                                  \
+    FN(strided_slice_float_10)                                 \
+    FN(strided_slice_float_2)                                  \
+    FN(strided_slice_float_3)                                  \
+    FN(strided_slice_float_4)                                  \
+    FN(strided_slice_float_5)                                  \
+    FN(strided_slice_float_6)                                  \
+    FN(strided_slice_float_7)                                  \
+    FN(strided_slice_float_8)                                  \
+    FN(strided_slice_float_9)                                  \
+    FN(strided_slice_qaunt8_10)                                \
+    FN(strided_slice_quant8_1)                                 \
+    FN(strided_slice_quant8_2)                                 \
+    FN(strided_slice_quant8_3)                                 \
+    FN(strided_slice_quant8_4)                                 \
+    FN(strided_slice_quant8_5)                                 \
+    FN(strided_slice_quant8_6)                                 \
+    FN(strided_slice_quant8_7)                                 \
+    FN(strided_slice_quant8_8)                                 \
+    FN(strided_slice_quant8_9)                                 \
+    FN(sub)                                                    \
+    FN(svdf)                                                   \
+    FN(svdf2)                                                  \
+    FN(svdf2_relaxed)                                          \
+    FN(svdf_relaxed)                                           \
+    FN(svdf_state)                                             \
+    FN(svdf_state_relaxed)                                     \
+    FN(tanh)                                                   \
+    FN(tanh_relaxed)                                           \
+    FN(transpose)                                              \
+    FN(transpose_float_1)                                      \
+    FN(transpose_quant8_1)
+
+#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
+    namespace function {                            \
+    extern std::vector<MixedTypedExample> examples; \
+    Model createTestModel();                        \
+    }
+
+FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
+
+#undef FORWARD_DECLARE_GENERATED_OBJECTS
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_1
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
+
+#endif  // VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.1/vts/functional/ValidateModel.cpp b/neuralnetworks/1.1/vts/functional/ValidateModel.cpp
new file mode 100644
index 0000000..7a20e26
--- /dev/null
+++ b/neuralnetworks/1.1/vts/functional/ValidateModel.cpp
@@ -0,0 +1,513 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_1 {
+
+using V1_0::IPreparedModel;
+using V1_0::Operand;
+using V1_0::OperandLifeTime;
+using V1_0::OperandType;
+
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+static void validateGetSupportedOperations(const sp<IDevice>& device, const std::string& message,
+                                           const V1_1::Model& model) {
+    SCOPED_TRACE(message + " [getSupportedOperations_1_1]");
+
+    Return<void> ret =
+        device->getSupportedOperations_1_1(model, [&](ErrorStatus status, const hidl_vec<bool>&) {
+            EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
+        });
+    EXPECT_TRUE(ret.isOk());
+}
+
+static void validatePrepareModel(const sp<IDevice>& device, const std::string& message,
+                                 const V1_1::Model& model) {
+    SCOPED_TRACE(message + " [prepareModel_1_1]");
+
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus =
+        device->prepareModel_1_1(model, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(prepareLaunchStatus));
+
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, prepareReturnStatus);
+    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+    ASSERT_EQ(nullptr, preparedModel.get());
+}
+
+// Primary validation function. This function will take a valid model, apply a
+// mutation to it to invalidate the model, then pass it to interface calls that
+// use the model. Note that the model here is passed by value, and any mutation
+// to the model does not leave this function.
+static void validate(const sp<IDevice>& device, const std::string& message, V1_1::Model model,
+                     const std::function<void(Model*)>& mutation) {
+    mutation(&model);
+    validateGetSupportedOperations(device, message, model);
+    validatePrepareModel(device, message, model);
+}
+
+// Delete element from hidl_vec. hidl_vec doesn't support a "remove" operation,
+// so this is efficiently accomplished by moving the element to the end and
+// resizing the hidl_vec to one less.
+template <typename Type>
+static void hidl_vec_removeAt(hidl_vec<Type>* vec, uint32_t index) {
+    if (vec) {
+        std::rotate(vec->begin() + index, vec->begin() + index + 1, vec->end());
+        vec->resize(vec->size() - 1);
+    }
+}
+
+template <typename Type>
+static uint32_t hidl_vec_push_back(hidl_vec<Type>* vec, const Type& value) {
+    // assume vec is valid
+    const uint32_t index = vec->size();
+    vec->resize(index + 1);
+    (*vec)[index] = value;
+    return index;
+}
+
+static uint32_t addOperand(Model* model) {
+    return hidl_vec_push_back(&model->operands,
+                              {
+                                  .type = OperandType::INT32,
+                                  .dimensions = {},
+                                  .numberOfConsumers = 0,
+                                  .scale = 0.0f,
+                                  .zeroPoint = 0,
+                                  .lifetime = OperandLifeTime::MODEL_INPUT,
+                                  .location = {.poolIndex = 0, .offset = 0, .length = 0},
+                              });
+}
+
+static uint32_t addOperand(Model* model, OperandLifeTime lifetime) {
+    uint32_t index = addOperand(model);
+    model->operands[index].numberOfConsumers = 1;
+    model->operands[index].lifetime = lifetime;
+    return index;
+}
+
+///////////////////////// VALIDATE MODEL OPERAND TYPE /////////////////////////
+
+static const int32_t invalidOperandTypes[] = {
+    static_cast<int32_t>(OperandType::FLOAT32) - 1,              // lower bound fundamental
+    static_cast<int32_t>(OperandType::TENSOR_QUANT8_ASYMM) + 1,  // upper bound fundamental
+    static_cast<int32_t>(OperandType::OEM) - 1,                  // lower bound OEM
+    static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) + 1,      // upper bound OEM
+};
+
+static void mutateOperandTypeTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        for (int32_t invalidOperandType : invalidOperandTypes) {
+            const std::string message = "mutateOperandTypeTest: operand " +
+                                        std::to_string(operand) + " set to value " +
+                                        std::to_string(invalidOperandType);
+            validate(device, message, model, [operand, invalidOperandType](Model* model) {
+                model->operands[operand].type = static_cast<OperandType>(invalidOperandType);
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE OPERAND RANK /////////////////////////
+
+static uint32_t getInvalidRank(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+            return 1;
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            return 0;
+        default:
+            return 0;
+    }
+}
+
+static void mutateOperandRankTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const uint32_t invalidRank = getInvalidRank(model.operands[operand].type);
+        const std::string message = "mutateOperandRankTest: operand " + std::to_string(operand) +
+                                    " has rank of " + std::to_string(invalidRank);
+        validate(device, message, model, [operand, invalidRank](Model* model) {
+            model->operands[operand].dimensions = std::vector<uint32_t>(invalidRank, 0);
+        });
+    }
+}
+
+///////////////////////// VALIDATE OPERAND SCALE /////////////////////////
+
+static float getInvalidScale(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::TENSOR_FLOAT32:
+            return 1.0f;
+        case OperandType::TENSOR_INT32:
+            return -1.0f;
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            return 0.0f;
+        default:
+            return 0.0f;
+    }
+}
+
+static void mutateOperandScaleTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const float invalidScale = getInvalidScale(model.operands[operand].type);
+        const std::string message = "mutateOperandScaleTest: operand " + std::to_string(operand) +
+                                    " has scale of " + std::to_string(invalidScale);
+        validate(device, message, model, [operand, invalidScale](Model* model) {
+            model->operands[operand].scale = invalidScale;
+        });
+    }
+}
+
+///////////////////////// VALIDATE OPERAND ZERO POINT /////////////////////////
+
+static std::vector<int32_t> getInvalidZeroPoints(OperandType type) {
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+        case OperandType::TENSOR_FLOAT32:
+        case OperandType::TENSOR_INT32:
+            return {1};
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            return {-1, 256};
+        default:
+            return {};
+    }
+}
+
+static void mutateOperandZeroPointTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const std::vector<int32_t> invalidZeroPoints =
+            getInvalidZeroPoints(model.operands[operand].type);
+        for (int32_t invalidZeroPoint : invalidZeroPoints) {
+            const std::string message = "mutateOperandZeroPointTest: operand " +
+                                        std::to_string(operand) + " has zero point of " +
+                                        std::to_string(invalidZeroPoint);
+            validate(device, message, model, [operand, invalidZeroPoint](Model* model) {
+                model->operands[operand].zeroPoint = invalidZeroPoint;
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE EXTRA ??? /////////////////////////
+
+// TODO: Operand::lifetime
+// TODO: Operand::location
+
+///////////////////////// VALIDATE OPERATION OPERAND TYPE /////////////////////////
+
+static void mutateOperand(Operand* operand, OperandType type) {
+    Operand newOperand = *operand;
+    newOperand.type = type;
+    switch (type) {
+        case OperandType::FLOAT32:
+        case OperandType::INT32:
+        case OperandType::UINT32:
+            newOperand.dimensions = hidl_vec<uint32_t>();
+            newOperand.scale = 0.0f;
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_FLOAT32:
+            newOperand.dimensions =
+                operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
+            newOperand.scale = 0.0f;
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_INT32:
+            newOperand.dimensions =
+                operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
+            newOperand.zeroPoint = 0;
+            break;
+        case OperandType::TENSOR_QUANT8_ASYMM:
+            newOperand.dimensions =
+                operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
+            newOperand.scale = operand->scale != 0.0f ? operand->scale : 1.0f;
+            break;
+        case OperandType::OEM:
+        case OperandType::TENSOR_OEM_BYTE:
+        default:
+            break;
+    }
+    *operand = newOperand;
+}
+
+static bool mutateOperationOperandTypeSkip(size_t operand, const V1_1::Model& model) {
+    // LSH_PROJECTION's second argument is allowed to have any type. This is the
+    // only operation that currently has a type that can be anything independent
+    // from any other type. Changing the operand type to any other type will
+    // result in a valid model for LSH_PROJECTION. If this is the case, skip the
+    // test.
+    for (const Operation& operation : model.operations) {
+        if (operation.type == OperationType::LSH_PROJECTION && operand == operation.inputs[1]) {
+            return true;
+        }
+    }
+    return false;
+}
+
+static void mutateOperationOperandTypeTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        if (mutateOperationOperandTypeSkip(operand, model)) {
+            continue;
+        }
+        for (OperandType invalidOperandType : hidl_enum_iterator<OperandType>{}) {
+            // Do not test OEM types
+            if (invalidOperandType == model.operands[operand].type ||
+                invalidOperandType == OperandType::OEM ||
+                invalidOperandType == OperandType::TENSOR_OEM_BYTE) {
+                continue;
+            }
+            const std::string message = "mutateOperationOperandTypeTest: operand " +
+                                        std::to_string(operand) + " set to type " +
+                                        toString(invalidOperandType);
+            validate(device, message, model, [operand, invalidOperandType](Model* model) {
+                mutateOperand(&model->operands[operand], invalidOperandType);
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION TYPE /////////////////////////
+
+static const int32_t invalidOperationTypes[] = {
+    static_cast<int32_t>(OperationType::ADD) - 1,            // lower bound fundamental
+    static_cast<int32_t>(OperationType::TRANSPOSE) + 1,      // upper bound fundamental
+    static_cast<int32_t>(OperationType::OEM_OPERATION) - 1,  // lower bound OEM
+    static_cast<int32_t>(OperationType::OEM_OPERATION) + 1,  // upper bound OEM
+};
+
+static void mutateOperationTypeTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        for (int32_t invalidOperationType : invalidOperationTypes) {
+            const std::string message = "mutateOperationTypeTest: operation " +
+                                        std::to_string(operation) + " set to value " +
+                                        std::to_string(invalidOperationType);
+            validate(device, message, model, [operation, invalidOperationType](Model* model) {
+                model->operations[operation].type =
+                    static_cast<OperationType>(invalidOperationType);
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION INPUT OPERAND INDEX /////////////////////////
+
+static void mutateOperationInputOperandIndexTest(const sp<IDevice>& device,
+                                                 const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const uint32_t invalidOperand = model.operands.size();
+        for (size_t input = 0; input < model.operations[operation].inputs.size(); ++input) {
+            const std::string message = "mutateOperationInputOperandIndexTest: operation " +
+                                        std::to_string(operation) + " input " +
+                                        std::to_string(input);
+            validate(device, message, model, [operation, input, invalidOperand](Model* model) {
+                model->operations[operation].inputs[input] = invalidOperand;
+            });
+        }
+    }
+}
+
+///////////////////////// VALIDATE MODEL OPERATION OUTPUT OPERAND INDEX /////////////////////////
+
+static void mutateOperationOutputOperandIndexTest(const sp<IDevice>& device,
+                                                  const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const uint32_t invalidOperand = model.operands.size();
+        for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) {
+            const std::string message = "mutateOperationOutputOperandIndexTest: operation " +
+                                        std::to_string(operation) + " output " +
+                                        std::to_string(output);
+            validate(device, message, model, [operation, output, invalidOperand](Model* model) {
+                model->operations[operation].outputs[output] = invalidOperand;
+            });
+        }
+    }
+}
+
+///////////////////////// REMOVE OPERAND FROM EVERYTHING /////////////////////////
+
+static void removeValueAndDecrementGreaterValues(hidl_vec<uint32_t>* vec, uint32_t value) {
+    if (vec) {
+        // remove elements matching "value"
+        auto last = std::remove(vec->begin(), vec->end(), value);
+        vec->resize(std::distance(vec->begin(), last));
+
+        // decrement elements exceeding "value"
+        std::transform(vec->begin(), vec->end(), vec->begin(),
+                       [value](uint32_t v) { return v > value ? v-- : v; });
+    }
+}
+
+static void removeOperand(Model* model, uint32_t index) {
+    hidl_vec_removeAt(&model->operands, index);
+    for (Operation& operation : model->operations) {
+        removeValueAndDecrementGreaterValues(&operation.inputs, index);
+        removeValueAndDecrementGreaterValues(&operation.outputs, index);
+    }
+    removeValueAndDecrementGreaterValues(&model->inputIndexes, index);
+    removeValueAndDecrementGreaterValues(&model->outputIndexes, index);
+}
+
+static void removeOperandTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        const std::string message = "removeOperandTest: operand " + std::to_string(operand);
+        validate(device, message, model,
+                 [operand](Model* model) { removeOperand(model, operand); });
+    }
+}
+
+///////////////////////// REMOVE OPERATION /////////////////////////
+
+static void removeOperation(Model* model, uint32_t index) {
+    for (uint32_t operand : model->operations[index].inputs) {
+        model->operands[operand].numberOfConsumers--;
+    }
+    hidl_vec_removeAt(&model->operations, index);
+}
+
+static void removeOperationTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const std::string message = "removeOperationTest: operation " + std::to_string(operation);
+        validate(device, message, model,
+                 [operation](Model* model) { removeOperation(model, operation); });
+    }
+}
+
+///////////////////////// REMOVE OPERATION INPUT /////////////////////////
+
+static void removeOperationInputTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        for (size_t input = 0; input < model.operations[operation].inputs.size(); ++input) {
+            const V1_1::Operation& op = model.operations[operation];
+            // CONCATENATION has at least 2 inputs, with the last element being
+            // INT32. Skip this test if removing one of CONCATENATION's
+            // inputs still produces a valid model.
+            if (op.type == V1_1::OperationType::CONCATENATION && op.inputs.size() > 2 &&
+                input != op.inputs.size() - 1) {
+                continue;
+            }
+            const std::string message = "removeOperationInputTest: operation " +
+                                        std::to_string(operation) + ", input " +
+                                        std::to_string(input);
+            validate(device, message, model, [operation, input](Model* model) {
+                uint32_t operand = model->operations[operation].inputs[input];
+                model->operands[operand].numberOfConsumers--;
+                hidl_vec_removeAt(&model->operations[operation].inputs, input);
+            });
+        }
+    }
+}
+
+///////////////////////// REMOVE OPERATION OUTPUT /////////////////////////
+
+static void removeOperationOutputTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) {
+            const std::string message = "removeOperationOutputTest: operation " +
+                                        std::to_string(operation) + ", output " +
+                                        std::to_string(output);
+            validate(device, message, model, [operation, output](Model* model) {
+                hidl_vec_removeAt(&model->operations[operation].outputs, output);
+            });
+        }
+    }
+}
+
+///////////////////////// MODEL VALIDATION /////////////////////////
+
+// TODO: remove model input
+// TODO: remove model output
+// TODO: add unused operation
+
+///////////////////////// ADD OPERATION INPUT /////////////////////////
+
+static void addOperationInputTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const std::string message = "addOperationInputTest: operation " + std::to_string(operation);
+        validate(device, message, model, [operation](Model* model) {
+            uint32_t index = addOperand(model, OperandLifeTime::MODEL_INPUT);
+            hidl_vec_push_back(&model->operations[operation].inputs, index);
+            hidl_vec_push_back(&model->inputIndexes, index);
+        });
+    }
+}
+
+///////////////////////// ADD OPERATION OUTPUT /////////////////////////
+
+static void addOperationOutputTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        const std::string message =
+            "addOperationOutputTest: operation " + std::to_string(operation);
+        validate(device, message, model, [operation](Model* model) {
+            uint32_t index = addOperand(model, OperandLifeTime::MODEL_OUTPUT);
+            hidl_vec_push_back(&model->operations[operation].outputs, index);
+            hidl_vec_push_back(&model->outputIndexes, index);
+        });
+    }
+}
+
+////////////////////////// ENTRY POINT //////////////////////////////
+
+void ValidationTest::validateModel(const V1_1::Model& model) {
+    mutateOperandTypeTest(device, model);
+    mutateOperandRankTest(device, model);
+    mutateOperandScaleTest(device, model);
+    mutateOperandZeroPointTest(device, model);
+    mutateOperationOperandTypeTest(device, model);
+    mutateOperationTypeTest(device, model);
+    mutateOperationInputOperandIndexTest(device, model);
+    mutateOperationOutputOperandIndexTest(device, model);
+    removeOperandTest(device, model);
+    removeOperationTest(device, model);
+    removeOperationInputTest(device, model);
+    removeOperationOutputTest(device, model);
+    addOperationInputTest(device, model);
+    addOperationOutputTest(device, model);
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_1
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
new file mode 100644
index 0000000..bd96614
--- /dev/null
+++ b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
@@ -0,0 +1,262 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+#include "TestHarness.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/hidl/memory/1.0/IMemory.h>
+#include <hidlmemory/mapping.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_1 {
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::hidl::memory::V1_0::IMemory;
+using generated_tests::MixedTyped;
+using generated_tests::MixedTypedExampleType;
+using generated_tests::for_all;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+static void createPreparedModel(const sp<IDevice>& device, const V1_1::Model& model,
+                                sp<IPreparedModel>* preparedModel) {
+    ASSERT_NE(nullptr, preparedModel);
+
+    // see if service can handle model
+    bool fullySupportsModel = false;
+    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_1(
+        model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
+            ASSERT_EQ(ErrorStatus::NONE, status);
+            ASSERT_NE(0ul, supported.size());
+            fullySupportsModel =
+                std::all_of(supported.begin(), supported.end(), [](bool valid) { return valid; });
+        });
+    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
+
+    // launch prepare model
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus =
+        device->prepareModel_1_1(model, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
+
+    // retrieve prepared model
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    *preparedModel = preparedModelCallback->getPreparedModel();
+
+    // The getSupportedOperations_1_1 call returns a list of operations that are
+    // guaranteed not to fail if prepareModel_1_1 is called, and
+    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
+    // If a driver has any doubt that it can prepare an operation, it must
+    // return false. So here, if a driver isn't sure if it can support an
+    // operation, but reports that it successfully prepared the model, the test
+    // can continue.
+    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
+        ASSERT_EQ(nullptr, preparedModel->get());
+        LOG(INFO) << "NN VTS: Unable to test Request validation because vendor service cannot "
+                     "prepare model that it does not support.";
+        std::cout << "[          ]   Unable to test Request validation because vendor service "
+                     "cannot prepare model that it does not support."
+                  << std::endl;
+        return;
+    }
+    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+    ASSERT_NE(nullptr, preparedModel->get());
+}
+
+// Primary validation function. This function will take a valid request, apply a
+// mutation to it to invalidate the request, then pass it to interface calls
+// that use the request. Note that the request here is passed by value, and any
+// mutation to the request does not leave this function.
+static void validate(const sp<IPreparedModel>& preparedModel, const std::string& message,
+                     Request request, const std::function<void(Request*)>& mutation) {
+    mutation(&request);
+    SCOPED_TRACE(message + " [execute]");
+
+    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
+    ASSERT_NE(nullptr, executionCallback.get());
+    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
+    ASSERT_TRUE(executeLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
+
+    executionCallback->wait();
+    ErrorStatus executionReturnStatus = executionCallback->getStatus();
+    ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus);
+}
+
+// Delete element from hidl_vec. hidl_vec doesn't support a "remove" operation,
+// so this is efficiently accomplished by moving the element to the end and
+// resizing the hidl_vec to one less.
+template <typename Type>
+static void hidl_vec_removeAt(hidl_vec<Type>* vec, uint32_t index) {
+    if (vec) {
+        std::rotate(vec->begin() + index, vec->begin() + index + 1, vec->end());
+        vec->resize(vec->size() - 1);
+    }
+}
+
+template <typename Type>
+static uint32_t hidl_vec_push_back(hidl_vec<Type>* vec, const Type& value) {
+    // assume vec is valid
+    const uint32_t index = vec->size();
+    vec->resize(index + 1);
+    (*vec)[index] = value;
+    return index;
+}
+
+///////////////////////// REMOVE INPUT ////////////////////////////////////
+
+static void removeInputTest(const sp<IPreparedModel>& preparedModel, const Request& request) {
+    for (size_t input = 0; input < request.inputs.size(); ++input) {
+        const std::string message = "removeInput: removed input " + std::to_string(input);
+        validate(preparedModel, message, request,
+                 [input](Request* request) { hidl_vec_removeAt(&request->inputs, input); });
+    }
+}
+
+///////////////////////// REMOVE OUTPUT ////////////////////////////////////
+
+static void removeOutputTest(const sp<IPreparedModel>& preparedModel, const Request& request) {
+    for (size_t output = 0; output < request.outputs.size(); ++output) {
+        const std::string message = "removeOutput: removed Output " + std::to_string(output);
+        validate(preparedModel, message, request,
+                 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); });
+    }
+}
+
+///////////////////////////// ENTRY POINT //////////////////////////////////
+
+std::vector<Request> createRequests(const std::vector<MixedTypedExampleType>& examples) {
+    const uint32_t INPUT = 0;
+    const uint32_t OUTPUT = 1;
+
+    std::vector<Request> requests;
+
+    for (auto& example : examples) {
+        const MixedTyped& inputs = example.first;
+        const MixedTyped& outputs = example.second;
+
+        std::vector<RequestArgument> inputs_info, outputs_info;
+        uint32_t inputSize = 0, outputSize = 0;
+
+        // This function only partially specifies the metadata (vector of RequestArguments).
+        // The contents are copied over below.
+        for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) {
+            if (inputs_info.size() <= static_cast<size_t>(index)) inputs_info.resize(index + 1);
+            RequestArgument arg = {
+                .location = {.poolIndex = INPUT, .offset = 0, .length = static_cast<uint32_t>(s)},
+                .dimensions = {},
+            };
+            RequestArgument arg_empty = {
+                .hasNoValue = true,
+            };
+            inputs_info[index] = s ? arg : arg_empty;
+            inputSize += s;
+        });
+        // Compute offset for inputs 1 and so on
+        {
+            size_t offset = 0;
+            for (auto& i : inputs_info) {
+                if (!i.hasNoValue) i.location.offset = offset;
+                offset += i.location.length;
+            }
+        }
+
+        // Go through all outputs, initialize RequestArgument descriptors
+        for_all(outputs, [&outputs_info, &outputSize](int index, auto, auto s) {
+            if (outputs_info.size() <= static_cast<size_t>(index)) outputs_info.resize(index + 1);
+            RequestArgument arg = {
+                .location = {.poolIndex = OUTPUT, .offset = 0, .length = static_cast<uint32_t>(s)},
+                .dimensions = {},
+            };
+            outputs_info[index] = arg;
+            outputSize += s;
+        });
+        // Compute offset for outputs 1 and so on
+        {
+            size_t offset = 0;
+            for (auto& i : outputs_info) {
+                i.location.offset = offset;
+                offset += i.location.length;
+            }
+        }
+        std::vector<hidl_memory> pools = {nn::allocateSharedMemory(inputSize),
+                                          nn::allocateSharedMemory(outputSize)};
+        if (pools[INPUT].size() == 0 || pools[OUTPUT].size() == 0) {
+            return {};
+        }
+
+        // map pool
+        sp<IMemory> inputMemory = mapMemory(pools[INPUT]);
+        if (inputMemory == nullptr) {
+            return {};
+        }
+        char* inputPtr = reinterpret_cast<char*>(static_cast<void*>(inputMemory->getPointer()));
+        if (inputPtr == nullptr) {
+            return {};
+        }
+
+        // initialize pool
+        inputMemory->update();
+        for_all(inputs, [&inputs_info, inputPtr](int index, auto p, auto s) {
+            char* begin = (char*)p;
+            char* end = begin + s;
+            // TODO: handle more than one input
+            std::copy(begin, end, inputPtr + inputs_info[index].location.offset);
+        });
+        inputMemory->commit();
+
+        requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools});
+    }
+
+    return requests;
+}
+
+void ValidationTest::validateRequests(const V1_1::Model& model,
+                                      const std::vector<Request>& requests) {
+    // create IPreparedModel
+    sp<IPreparedModel> preparedModel;
+    ASSERT_NO_FATAL_FAILURE(createPreparedModel(device, model, &preparedModel));
+    if (preparedModel == nullptr) {
+        return;
+    }
+
+    // validate each request
+    for (const Request& request : requests) {
+        removeInputTest(preparedModel, request);
+        removeOutputTest(preparedModel, request);
+    }
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_1
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/ValidationTests.cpp b/neuralnetworks/1.1/vts/functional/ValidationTests.cpp
new file mode 100644
index 0000000..1c35ba8
--- /dev/null
+++ b/neuralnetworks/1.1/vts/functional/ValidationTests.cpp
@@ -0,0 +1,50 @@
+/*
+ * 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.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "Models.h"
+#include "VtsHalNeuralnetworks.h"
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_1 {
+namespace vts {
+namespace functional {
+
+// forward declarations
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
+// generate validation tests
+#define VTS_CURRENT_TEST_CASE(TestName)                                           \
+    TEST_F(ValidationTest, TestName) {                                            \
+        const Model model = TestName::createTestModel();                          \
+        const std::vector<Request> requests = createRequests(TestName::examples); \
+        validateModel(model);                                                     \
+        validateRequests(model, requests);                                        \
+    }
+
+FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
+
+#undef VTS_CURRENT_TEST_CASE
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_1
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1.cpp b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.cpp
similarity index 64%
rename from neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1.cpp
rename to neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.cpp
index b1d3be7..62381e6 100644
--- a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1.cpp
+++ b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.cpp
@@ -16,16 +16,7 @@
 
 #define LOG_TAG "neuralnetworks_hidl_hal_test"
 
-#include "VtsHalNeuralnetworksV1_1.h"
-#include "Utils.h"
-
-#include <android-base/logging.h>
-#include <hidlmemory/mapping.h>
-
-using ::android::hardware::hidl_memory;
-using ::android::hidl::allocator::V1_0::IAllocator;
-using ::android::hidl::memory::V1_0::IMemory;
-using ::android::sp;
+#include "VtsHalNeuralnetworks.h"
 
 namespace android {
 namespace hardware {
@@ -34,11 +25,6 @@
 namespace vts {
 namespace functional {
 
-// allocator helper
-hidl_memory allocateSharedMemory(int64_t size) {
-    return nn::allocateSharedMemory(size);
-}
-
 // A class for test environment setup
 NeuralnetworksHidlEnvironment::NeuralnetworksHidlEnvironment() {}
 
@@ -52,23 +38,49 @@
 }
 
 void NeuralnetworksHidlEnvironment::registerTestServices() {
-    registerTestService<V1_1::IDevice>();
+    registerTestService<IDevice>();
 }
 
 // The main test class for NEURALNETWORK HIDL HAL.
+NeuralnetworksHidlTest::NeuralnetworksHidlTest() {}
+
 NeuralnetworksHidlTest::~NeuralnetworksHidlTest() {}
 
 void NeuralnetworksHidlTest::SetUp() {
-    device = ::testing::VtsHalHidlTargetTestBase::getService<V1_1::IDevice>(
+    ::testing::VtsHalHidlTargetTestBase::SetUp();
+    device = ::testing::VtsHalHidlTargetTestBase::getService<IDevice>(
         NeuralnetworksHidlEnvironment::getInstance());
     ASSERT_NE(nullptr, device.get());
 }
 
-void NeuralnetworksHidlTest::TearDown() {}
+void NeuralnetworksHidlTest::TearDown() {
+    device = nullptr;
+    ::testing::VtsHalHidlTargetTestBase::TearDown();
+}
 
 }  // namespace functional
 }  // namespace vts
+
+::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus) {
+    return os << toString(errorStatus);
+}
+
+::std::ostream& operator<<(::std::ostream& os, DeviceStatus deviceStatus) {
+    return os << toString(deviceStatus);
+}
+
 }  // namespace V1_1
 }  // namespace neuralnetworks
 }  // namespace hardware
 }  // namespace android
+
+using android::hardware::neuralnetworks::V1_1::vts::functional::NeuralnetworksHidlEnvironment;
+
+int main(int argc, char** argv) {
+    ::testing::AddGlobalTestEnvironment(NeuralnetworksHidlEnvironment::getInstance());
+    ::testing::InitGoogleTest(&argc, argv);
+    NeuralnetworksHidlEnvironment::getInstance()->init(&argc, argv);
+
+    int status = RUN_ALL_TESTS();
+    return status;
+}
diff --git a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1.h b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.h
similarity index 60%
rename from neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1.h
rename to neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.h
index 426246c..0050e52 100644
--- a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1.h
+++ b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworks.h
@@ -17,65 +17,71 @@
 #ifndef VTS_HAL_NEURALNETWORKS_V1_1_H
 #define VTS_HAL_NEURALNETWORKS_V1_1_H
 
-#include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
-#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
-#include <android/hardware/neuralnetworks/1.0/IPreparedModelCallback.h>
+#include <android/hardware/neuralnetworks/1.0/types.h>
 #include <android/hardware/neuralnetworks/1.1/IDevice.h>
 #include <android/hardware/neuralnetworks/1.1/types.h>
-#include <android/hidl/allocator/1.0/IAllocator.h>
 
 #include <VtsHalHidlTargetTestBase.h>
 #include <VtsHalHidlTargetTestEnvBase.h>
+
+#include <android-base/macros.h>
 #include <gtest/gtest.h>
-#include <string>
+#include <iostream>
+#include <vector>
 
 namespace android {
 namespace hardware {
 namespace neuralnetworks {
 namespace V1_1 {
+
+using V1_0::Request;
+using V1_0::DeviceStatus;
+using V1_0::ErrorStatus;
+
 namespace vts {
 namespace functional {
-hidl_memory allocateSharedMemory(int64_t size);
 
 // A class for test environment setup
 class NeuralnetworksHidlEnvironment : public ::testing::VtsHalHidlTargetTestEnvBase {
+    DISALLOW_COPY_AND_ASSIGN(NeuralnetworksHidlEnvironment);
     NeuralnetworksHidlEnvironment();
-    NeuralnetworksHidlEnvironment(const NeuralnetworksHidlEnvironment&) = delete;
-    NeuralnetworksHidlEnvironment(NeuralnetworksHidlEnvironment&&) = delete;
-    NeuralnetworksHidlEnvironment& operator=(const NeuralnetworksHidlEnvironment&) = delete;
-    NeuralnetworksHidlEnvironment& operator=(NeuralnetworksHidlEnvironment&&) = delete;
+    ~NeuralnetworksHidlEnvironment() override;
 
    public:
-    ~NeuralnetworksHidlEnvironment() override;
     static NeuralnetworksHidlEnvironment* getInstance();
     void registerTestServices() override;
 };
 
 // The main test class for NEURALNETWORKS HIDL HAL.
 class NeuralnetworksHidlTest : public ::testing::VtsHalHidlTargetTestBase {
+    DISALLOW_COPY_AND_ASSIGN(NeuralnetworksHidlTest);
+
    public:
+    NeuralnetworksHidlTest();
     ~NeuralnetworksHidlTest() override;
     void SetUp() override;
     void TearDown() override;
 
-    sp<V1_1::IDevice> device;
+   protected:
+    sp<IDevice> device;
 };
+
+// Tag for the validation tests
+class ValidationTest : public NeuralnetworksHidlTest {
+   protected:
+    void validateModel(const Model& model);
+    void validateRequests(const Model& model, const std::vector<Request>& request);
+};
+
+// Tag for the generated tests
+class GeneratedTest : public NeuralnetworksHidlTest {};
+
 }  // namespace functional
 }  // namespace vts
 
 // pretty-print values for error messages
-
-template <typename CharT, typename Traits>
-::std::basic_ostream<CharT, Traits>& operator<<(::std::basic_ostream<CharT, Traits>& os,
-                                                V1_0::ErrorStatus errorStatus) {
-    return os << toString(errorStatus);
-}
-
-template <typename CharT, typename Traits>
-::std::basic_ostream<CharT, Traits>& operator<<(::std::basic_ostream<CharT, Traits>& os,
-                                                V1_0::DeviceStatus deviceStatus) {
-    return os << toString(deviceStatus);
-}
+::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus);
+::std::ostream& operator<<(::std::ostream& os, DeviceStatus deviceStatus);
 
 }  // namespace V1_1
 }  // namespace neuralnetworks
diff --git a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1BasicTest.cpp b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1BasicTest.cpp
deleted file mode 100644
index 10591dc..0000000
--- a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1BasicTest.cpp
+++ /dev/null
@@ -1,468 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "VtsHalNeuralnetworksV1_1.h"
-
-#include "Callbacks.h"
-#include "Models.h"
-#include "TestHarness.h"
-
-#include <android-base/logging.h>
-#include <android/hardware/neuralnetworks/1.1/IDevice.h>
-#include <android/hardware/neuralnetworks/1.1/types.h>
-#include <android/hidl/memory/1.0/IMemory.h>
-#include <hidlmemory/mapping.h>
-
-using ::android::hardware::neuralnetworks::V1_0::IPreparedModel;
-using ::android::hardware::neuralnetworks::V1_0::DeviceStatus;
-using ::android::hardware::neuralnetworks::V1_0::ErrorStatus;
-using ::android::hardware::neuralnetworks::V1_0::FusedActivationFunc;
-using ::android::hardware::neuralnetworks::V1_0::Operand;
-using ::android::hardware::neuralnetworks::V1_0::OperandLifeTime;
-using ::android::hardware::neuralnetworks::V1_0::OperandType;
-using ::android::hardware::neuralnetworks::V1_0::Request;
-using ::android::hardware::neuralnetworks::V1_1::Capabilities;
-using ::android::hardware::neuralnetworks::V1_1::IDevice;
-using ::android::hardware::neuralnetworks::V1_1::Model;
-using ::android::hardware::neuralnetworks::V1_1::Operation;
-using ::android::hardware::neuralnetworks::V1_1::OperationType;
-using ::android::hardware::Return;
-using ::android::hardware::Void;
-using ::android::hardware::hidl_memory;
-using ::android::hardware::hidl_string;
-using ::android::hardware::hidl_vec;
-using ::android::hidl::allocator::V1_0::IAllocator;
-using ::android::hidl::memory::V1_0::IMemory;
-using ::android::sp;
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_1 {
-namespace vts {
-namespace functional {
-using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
-
-static void doPrepareModelShortcut(const sp<IDevice>& device, sp<IPreparedModel>* preparedModel) {
-    ASSERT_NE(nullptr, preparedModel);
-    Model model = createValidTestModel_1_1();
-
-    // see if service can handle model
-    bool fullySupportsModel = false;
-    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_1(
-        model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
-            ASSERT_EQ(ErrorStatus::NONE, status);
-            ASSERT_NE(0ul, supported.size());
-            fullySupportsModel =
-                std::all_of(supported.begin(), supported.end(), [](bool valid) { return valid; });
-        });
-    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
-
-    // launch prepare model
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus =
-        device->prepareModel_1_1(model, preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    // retrieve prepared model
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    *preparedModel = preparedModelCallback->getPreparedModel();
-
-    // The getSupportedOperations call returns a list of operations that are
-    // guaranteed not to fail if prepareModel is called, and
-    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
-    // If a driver has any doubt that it can prepare an operation, it must
-    // return false. So here, if a driver isn't sure if it can support an
-    // operation, but reports that it successfully prepared the model, the test
-    // can continue.
-    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
-        ASSERT_EQ(nullptr, preparedModel->get());
-        LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
-                     "prepare model that it does not support.";
-        std::cout << "[          ]   Early termination of test because vendor service cannot "
-                     "prepare model that it does not support."
-                  << std::endl;
-        return;
-    }
-    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
-    ASSERT_NE(nullptr, preparedModel->get());
-}
-
-// create device test
-TEST_F(NeuralnetworksHidlTest, CreateDevice) {}
-
-// status test
-TEST_F(NeuralnetworksHidlTest, StatusTest) {
-    Return<DeviceStatus> status = device->getStatus();
-    ASSERT_TRUE(status.isOk());
-    EXPECT_EQ(DeviceStatus::AVAILABLE, static_cast<DeviceStatus>(status));
-}
-
-// initialization
-TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
-    Return<void> ret =
-        device->getCapabilities_1_1([](ErrorStatus status, const Capabilities& capabilities) {
-            EXPECT_EQ(ErrorStatus::NONE, status);
-            EXPECT_LT(0.0f, capabilities.float32Performance.execTime);
-            EXPECT_LT(0.0f, capabilities.float32Performance.powerUsage);
-            EXPECT_LT(0.0f, capabilities.quantized8Performance.execTime);
-            EXPECT_LT(0.0f, capabilities.quantized8Performance.powerUsage);
-            EXPECT_LT(0.0f, capabilities.relaxedFloat32toFloat16Performance.execTime);
-            EXPECT_LT(0.0f, capabilities.relaxedFloat32toFloat16Performance.powerUsage);
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// supported operations positive test
-TEST_F(NeuralnetworksHidlTest, SupportedOperationsPositiveTest) {
-    Model model = createValidTestModel_1_1();
-    Return<void> ret = device->getSupportedOperations_1_1(
-        model, [&](ErrorStatus status, const hidl_vec<bool>& supported) {
-            EXPECT_EQ(ErrorStatus::NONE, status);
-            EXPECT_EQ(model.operations.size(), supported.size());
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// supported operations negative test 1
-TEST_F(NeuralnetworksHidlTest, SupportedOperationsNegativeTest1) {
-    Model model = createInvalidTestModel1_1_1();
-    Return<void> ret = device->getSupportedOperations_1_1(
-        model, [&](ErrorStatus status, const hidl_vec<bool>& supported) {
-            EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
-            (void)supported;
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// supported operations negative test 2
-TEST_F(NeuralnetworksHidlTest, SupportedOperationsNegativeTest2) {
-    Model model = createInvalidTestModel2_1_1();
-    Return<void> ret = device->getSupportedOperations_1_1(
-        model, [&](ErrorStatus status, const hidl_vec<bool>& supported) {
-            EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
-            (void)supported;
-        });
-    EXPECT_TRUE(ret.isOk());
-}
-
-// prepare simple model positive test
-TEST_F(NeuralnetworksHidlTest, SimplePrepareModelPositiveTest) {
-    sp<IPreparedModel> preparedModel;
-    doPrepareModelShortcut(device, &preparedModel);
-}
-
-// prepare simple model negative test 1
-TEST_F(NeuralnetworksHidlTest, SimplePrepareModelNegativeTest1) {
-    Model model = createInvalidTestModel1_1_1();
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus =
-        device->prepareModel_1_1(model, preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, prepareReturnStatus);
-    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
-    EXPECT_EQ(nullptr, preparedModel.get());
-}
-
-// prepare simple model negative test 2
-TEST_F(NeuralnetworksHidlTest, SimplePrepareModelNegativeTest2) {
-    Model model = createInvalidTestModel2_1_1();
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus =
-        device->prepareModel_1_1(model, preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, prepareReturnStatus);
-    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
-    EXPECT_EQ(nullptr, preparedModel.get());
-}
-
-// execute simple graph positive test
-TEST_F(NeuralnetworksHidlTest, SimpleExecuteGraphPositiveTest) {
-    std::vector<float> outputData = {-1.0f, -1.0f, -1.0f, -1.0f};
-    std::vector<float> expectedData = {6.0f, 8.0f, 10.0f, 12.0f};
-    const uint32_t OUTPUT = 1;
-
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(doPrepareModelShortcut(device, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-    Request request = createValidTestRequest();
-
-    auto postWork = [&] {
-        sp<IMemory> outputMemory = mapMemory(request.pools[OUTPUT]);
-        if (outputMemory == nullptr) {
-            return false;
-        }
-        float* outputPtr = reinterpret_cast<float*>(static_cast<void*>(outputMemory->getPointer()));
-        if (outputPtr == nullptr) {
-            return false;
-        }
-        outputMemory->read();
-        std::copy(outputPtr, outputPtr + outputData.size(), outputData.begin());
-        outputMemory->commit();
-        return true;
-    };
-
-    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
-    ASSERT_NE(nullptr, executionCallback.get());
-    executionCallback->on_finish(postWork);
-    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
-    ASSERT_TRUE(executeLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(executeLaunchStatus));
-
-    executionCallback->wait();
-    ErrorStatus executionReturnStatus = executionCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::NONE, executionReturnStatus);
-    EXPECT_EQ(expectedData, outputData);
-}
-
-// execute simple graph negative test 1
-TEST_F(NeuralnetworksHidlTest, SimpleExecuteGraphNegativeTest1) {
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(doPrepareModelShortcut(device, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-    Request request = createInvalidTestRequest1();
-
-    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
-    ASSERT_NE(nullptr, executionCallback.get());
-    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
-    ASSERT_TRUE(executeLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
-
-    executionCallback->wait();
-    ErrorStatus executionReturnStatus = executionCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus);
-}
-
-// execute simple graph negative test 2
-TEST_F(NeuralnetworksHidlTest, SimpleExecuteGraphNegativeTest2) {
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(doPrepareModelShortcut(device, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-    Request request = createInvalidTestRequest2();
-
-    sp<ExecutionCallback> executionCallback = new ExecutionCallback();
-    ASSERT_NE(nullptr, executionCallback.get());
-    Return<ErrorStatus> executeLaunchStatus = preparedModel->execute(request, executionCallback);
-    ASSERT_TRUE(executeLaunchStatus.isOk());
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
-
-    executionCallback->wait();
-    ErrorStatus executionReturnStatus = executionCallback->getStatus();
-    EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus);
-}
-
-class NeuralnetworksInputsOutputsTest
-    : public NeuralnetworksHidlTest,
-      public ::testing::WithParamInterface<std::tuple<bool, bool>> {
-   protected:
-    virtual void SetUp() { NeuralnetworksHidlTest::SetUp(); }
-    virtual void TearDown() { NeuralnetworksHidlTest::TearDown(); }
-    V1_1::Model createModel(const std::vector<uint32_t>& inputs,
-                            const std::vector<uint32_t>& outputs) {
-        // We set up the operands as floating-point with no designated
-        // model inputs and outputs, and then patch type and lifetime
-        // later on in this function.
-
-        std::vector<Operand> operands = {
-            {
-                .type = OperandType::TENSOR_FLOAT32,
-                .dimensions = {1},
-                .numberOfConsumers = 1,
-                .scale = 0.0f,
-                .zeroPoint = 0,
-                .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
-                .location = {.poolIndex = 0, .offset = 0, .length = 0},
-            },
-            {
-                .type = OperandType::TENSOR_FLOAT32,
-                .dimensions = {1},
-                .numberOfConsumers = 1,
-                .scale = 0.0f,
-                .zeroPoint = 0,
-                .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
-                .location = {.poolIndex = 0, .offset = 0, .length = 0},
-            },
-            {
-                .type = OperandType::INT32,
-                .dimensions = {},
-                .numberOfConsumers = 1,
-                .scale = 0.0f,
-                .zeroPoint = 0,
-                .lifetime = OperandLifeTime::CONSTANT_COPY,
-                .location = {.poolIndex = 0, .offset = 0, .length = sizeof(int32_t)},
-            },
-            {
-                .type = OperandType::TENSOR_FLOAT32,
-                .dimensions = {1},
-                .numberOfConsumers = 0,
-                .scale = 0.0f,
-                .zeroPoint = 0,
-                .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
-                .location = {.poolIndex = 0, .offset = 0, .length = 0},
-            },
-        };
-
-        const std::vector<Operation> operations = {{
-            .type = OperationType::ADD, .inputs = {0, 1, 2}, .outputs = {3},
-        }};
-
-        std::vector<uint8_t> operandValues;
-        int32_t activation[1] = {static_cast<int32_t>(FusedActivationFunc::NONE)};
-        operandValues.insert(operandValues.end(), reinterpret_cast<const uint8_t*>(&activation[0]),
-                             reinterpret_cast<const uint8_t*>(&activation[1]));
-
-        if (kQuantized) {
-            for (auto& operand : operands) {
-                if (operand.type == OperandType::TENSOR_FLOAT32) {
-                    operand.type = OperandType::TENSOR_QUANT8_ASYMM;
-                    operand.scale = 1.0f;
-                    operand.zeroPoint = 0;
-                }
-            }
-        }
-
-        auto patchLifetime = [&operands](const std::vector<uint32_t>& operandIndexes,
-                                         OperandLifeTime lifetime) {
-            for (uint32_t index : operandIndexes) {
-                operands[index].lifetime = lifetime;
-            }
-        };
-        if (kInputHasPrecedence) {
-            patchLifetime(outputs, OperandLifeTime::MODEL_OUTPUT);
-            patchLifetime(inputs, OperandLifeTime::MODEL_INPUT);
-        } else {
-            patchLifetime(inputs, OperandLifeTime::MODEL_INPUT);
-            patchLifetime(outputs, OperandLifeTime::MODEL_OUTPUT);
-        }
-
-        return {
-            .operands = operands,
-            .operations = operations,
-            .inputIndexes = inputs,
-            .outputIndexes = outputs,
-            .operandValues = operandValues,
-            .pools = {},
-        };
-    }
-    void check(const std::string& name,
-               bool expectation,  // true = success
-               const std::vector<uint32_t>& inputs, const std::vector<uint32_t>& outputs) {
-        SCOPED_TRACE(name + " (HAL calls should " + (expectation ? "succeed" : "fail") + ", " +
-                     (kInputHasPrecedence ? "input" : "output") + " precedence, " +
-                     (kQuantized ? "quantized" : "float"));
-
-        V1_1::Model model = createModel(inputs, outputs);
-
-        // ensure that getSupportedOperations_1_1() checks model validity
-        ErrorStatus supportedOpsErrorStatus = ErrorStatus::GENERAL_FAILURE;
-        Return<void> supportedOpsReturn = device->getSupportedOperations_1_1(
-            model, [&model, &supportedOpsErrorStatus](ErrorStatus status,
-                                                      const hidl_vec<bool>& supported) {
-                supportedOpsErrorStatus = status;
-                if (status == ErrorStatus::NONE) {
-                    ASSERT_EQ(supported.size(), model.operations.size());
-                }
-            });
-        ASSERT_TRUE(supportedOpsReturn.isOk());
-        ASSERT_EQ(supportedOpsErrorStatus,
-                  (expectation ? ErrorStatus::NONE : ErrorStatus::INVALID_ARGUMENT));
-
-        // ensure that prepareModel_1_1() checks model validity
-        sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback;
-        ASSERT_NE(preparedModelCallback.get(), nullptr);
-        Return<ErrorStatus> prepareLaunchReturn =
-            device->prepareModel_1_1(model, preparedModelCallback);
-        ASSERT_TRUE(prepareLaunchReturn.isOk());
-        ASSERT_TRUE(prepareLaunchReturn == ErrorStatus::NONE ||
-                    prepareLaunchReturn == ErrorStatus::INVALID_ARGUMENT);
-        bool preparationOk = (prepareLaunchReturn == ErrorStatus::NONE);
-        if (preparationOk) {
-            preparedModelCallback->wait();
-            preparationOk = (preparedModelCallback->getStatus() == ErrorStatus::NONE);
-        }
-
-        if (preparationOk) {
-            ASSERT_TRUE(expectation);
-        } else {
-            // Preparation can fail for reasons other than an invalid model --
-            // for example, perhaps not all operations are supported, or perhaps
-            // the device hit some kind of capacity limit.
-            bool invalid = prepareLaunchReturn == ErrorStatus::INVALID_ARGUMENT ||
-                           preparedModelCallback->getStatus() == ErrorStatus::INVALID_ARGUMENT;
-            ASSERT_NE(expectation, invalid);
-        }
-    }
-
-    // Indicates whether an operand that appears in both the inputs
-    // and outputs vector should have lifetime appropriate for input
-    // rather than for output.
-    const bool kInputHasPrecedence = std::get<0>(GetParam());
-
-    // Indicates whether we should test TENSOR_QUANT8_ASYMM rather
-    // than TENSOR_FLOAT32.
-    const bool kQuantized = std::get<1>(GetParam());
-};
-
-TEST_P(NeuralnetworksInputsOutputsTest, Validate) {
-    check("Ok", true, {0, 1}, {3});
-    check("InputIsOutput", false, {0, 1}, {3, 0});
-    check("OutputIsInput", false, {0, 1, 3}, {3});
-    check("DuplicateInputs", false, {0, 1, 0}, {3});
-    check("DuplicateOutputs", false, {0, 1}, {3, 3});
-}
-
-INSTANTIATE_TEST_CASE_P(Flavor, NeuralnetworksInputsOutputsTest,
-                        ::testing::Combine(::testing::Bool(), ::testing::Bool()));
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_1
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
-
-using android::hardware::neuralnetworks::V1_1::vts::functional::NeuralnetworksHidlEnvironment;
-
-int main(int argc, char** argv) {
-    ::testing::AddGlobalTestEnvironment(NeuralnetworksHidlEnvironment::getInstance());
-    ::testing::InitGoogleTest(&argc, argv);
-    NeuralnetworksHidlEnvironment::getInstance()->init(&argc, argv);
-
-    int status = RUN_ALL_TESTS();
-    return status;
-}
diff --git a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1GeneratedTest.cpp b/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1GeneratedTest.cpp
deleted file mode 100644
index 025d9fe..0000000
--- a/neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1GeneratedTest.cpp
+++ /dev/null
@@ -1,80 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "VtsHalNeuralnetworksV1_1.h"
-
-#include "Callbacks.h"
-#include "TestHarness.h"
-
-#include <android-base/logging.h>
-#include <android/hardware/neuralnetworks/1.1/IDevice.h>
-#include <android/hardware/neuralnetworks/1.1/types.h>
-#include <android/hidl/memory/1.0/IMemory.h>
-#include <hidlmemory/mapping.h>
-
-using ::android::hardware::neuralnetworks::V1_0::IPreparedModel;
-using ::android::hardware::neuralnetworks::V1_0::Capabilities;
-using ::android::hardware::neuralnetworks::V1_0::DeviceStatus;
-using ::android::hardware::neuralnetworks::V1_0::ErrorStatus;
-using ::android::hardware::neuralnetworks::V1_0::FusedActivationFunc;
-using ::android::hardware::neuralnetworks::V1_0::Operand;
-using ::android::hardware::neuralnetworks::V1_0::OperandLifeTime;
-using ::android::hardware::neuralnetworks::V1_0::OperandType;
-using ::android::hardware::neuralnetworks::V1_0::Request;
-using ::android::hardware::neuralnetworks::V1_1::IDevice;
-using ::android::hardware::neuralnetworks::V1_1::Model;
-using ::android::hardware::neuralnetworks::V1_1::Operation;
-using ::android::hardware::neuralnetworks::V1_1::OperationType;
-using ::android::hardware::Return;
-using ::android::hardware::Void;
-using ::android::hardware::hidl_memory;
-using ::android::hardware::hidl_string;
-using ::android::hardware::hidl_vec;
-using ::android::hidl::allocator::V1_0::IAllocator;
-using ::android::hidl::memory::V1_0::IMemory;
-using ::android::sp;
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-
-namespace generated_tests {
-using ::generated_tests::MixedTypedExampleType;
-extern void Execute(sp<V1_1::IDevice>&, std::function<Model(void)>, std::function<bool(int)>,
-                    const std::vector<MixedTypedExampleType>&);
-}  // namespace generated_tests
-
-namespace V1_1 {
-namespace vts {
-namespace functional {
-using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
-
-// Mixed-typed examples
-typedef generated_tests::MixedTypedExampleType MixedTypedExample;
-
-// in frameworks/ml/nn/runtime/tests/generated/
-#include "all_generated_V1_0_vts_tests.cpp"
-#include "all_generated_V1_1_vts_tests.cpp"
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_1
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
diff --git a/wifi/supplicant/1.1/Android.bp b/wifi/supplicant/1.1/Android.bp
index fafd6ad..832d1ad 100644
--- a/wifi/supplicant/1.1/Android.bp
+++ b/wifi/supplicant/1.1/Android.bp
@@ -8,6 +8,8 @@
     },
     srcs: [
         "ISupplicant.hal",
+        "ISupplicantStaIface.hal",
+        "ISupplicantStaIfaceCallback.hal",
         "ISupplicantStaNetwork.hal",
     ],
     interfaces: [
diff --git a/wifi/supplicant/1.1/ISupplicantStaIface.hal b/wifi/supplicant/1.1/ISupplicantStaIface.hal
new file mode 100644
index 0000000..025cc6a
--- /dev/null
+++ b/wifi/supplicant/1.1/ISupplicantStaIface.hal
@@ -0,0 +1,48 @@
+/*
+ * 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.
+ */
+
+package android.hardware.wifi.supplicant@1.1;
+
+import @1.0::ISupplicantStaIface;
+import @1.1::ISupplicantStaIfaceCallback;
+import @1.0::SupplicantStatus;
+
+/**
+ * Interface exposed by the supplicant for each station mode network
+ * interface (e.g wlan0) it controls.
+ */
+interface ISupplicantStaIface extends @1.0::ISupplicantStaIface {
+
+    /**
+     * Register for callbacks from this interface.
+     *
+     * These callbacks are invoked for events that are specific to this interface.
+     * Registration of multiple callback objects is supported. These objects must
+     * be automatically deleted when the corresponding client process is dead or
+     * if this interface is removed.
+     *
+     * @param callback An instance of the |ISupplicantStaIfaceCallback| HIDL
+     *        interface object.
+     * @return status Status of the operation.
+     *         Possible status codes:
+     *         |SupplicantStatusCode.SUCCESS|,
+     *         |SupplicantStatusCode.FAILURE_UNKNOWN|,
+     *         |SupplicantStatusCode.FAILURE_IFACE_INVALID|
+     */
+    registerCallback_1_1(ISupplicantStaIfaceCallback callback)
+        generates (SupplicantStatus status);
+};
+
diff --git a/wifi/supplicant/1.1/ISupplicantStaIfaceCallback.hal b/wifi/supplicant/1.1/ISupplicantStaIfaceCallback.hal
new file mode 100644
index 0000000..8b92ee5
--- /dev/null
+++ b/wifi/supplicant/1.1/ISupplicantStaIfaceCallback.hal
@@ -0,0 +1,45 @@
+/*
+ * 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.
+ */
+
+package android.hardware.wifi.supplicant@1.1;
+
+import @1.0::ISupplicantStaIfaceCallback;
+
+/**
+ * Callback Interface exposed by the supplicant service
+ * for each station mode interface (ISupplicantStaIface).
+ *
+ * Clients need to host an instance of this HIDL interface object and
+ * pass a reference of the object to the supplicant via the
+ * corresponding |ISupplicantStaIface.registerCallback_1_1| method.
+ */
+interface ISupplicantStaIfaceCallback extends @1.0::ISupplicantStaIfaceCallback {
+
+    /* EapErrorCode: Error code for EAP or EAP Method as per RFC-4186 */
+    enum EapErrorCode : uint32_t {
+        SIM_GENERAL_FAILURE_AFTER_AUTH = 0,
+        SIM_TEMPORARILY_DENIED = 1026,
+        SIM_NOT_SUBSCRIBED = 1031,
+        SIM_GENERAL_FAILURE_BEFORE_AUTH = 16384,
+        SIM_VENDOR_SPECIFIC_EXPIRED_CERT = 16385,
+    };
+
+    /**
+     * Used to indicate an EAP authentication failure.
+     */
+    oneway onEapFailure_1_1(EapErrorCode errorCode);
+};
+
diff --git a/wifi/supplicant/1.1/vts/functional/Android.bp b/wifi/supplicant/1.1/vts/functional/Android.bp
index 3efe15d..3e65453 100644
--- a/wifi/supplicant/1.1/vts/functional/Android.bp
+++ b/wifi/supplicant/1.1/vts/functional/Android.bp
@@ -40,6 +40,7 @@
     srcs: [
         "VtsHalWifiSupplicantV1_1TargetTest.cpp",
         "supplicant_hidl_test.cpp",
+        "supplicant_sta_iface_hidl_test.cpp",
         "supplicant_sta_network_hidl_test.cpp",
     ],
     static_libs: [
diff --git a/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.cpp b/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.cpp
index 3f17740..04a5ed9 100644
--- a/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.cpp
+++ b/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.cpp
@@ -21,6 +21,7 @@
 #include "supplicant_hidl_test_utils_1_1.h"
 
 using ::android::hardware::wifi::supplicant::V1_1::ISupplicant;
+using ::android::hardware::wifi::supplicant::V1_1::ISupplicantStaIface;
 using ::android::hardware::wifi::supplicant::V1_1::ISupplicantStaNetwork;
 using ::android::sp;
 
@@ -28,6 +29,10 @@
     return ISupplicant::castFrom(getSupplicant());
 }
 
+sp<ISupplicantStaIface> getSupplicantStaIface_1_1() {
+    return ISupplicantStaIface::castFrom(getSupplicantStaIface());
+}
+
 sp<ISupplicantStaNetwork> createSupplicantStaNetwork_1_1() {
     return ISupplicantStaNetwork::castFrom(createSupplicantStaNetwork());
 }
diff --git a/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.h b/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.h
index e7ce54a..1c13325 100644
--- a/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.h
+++ b/wifi/supplicant/1.1/vts/functional/supplicant_hidl_test_utils_1_1.h
@@ -18,11 +18,15 @@
 #define SUPPLICANT_HIDL_TEST_UTILS_1_1_H
 
 #include <android/hardware/wifi/supplicant/1.1/ISupplicant.h>
+#include <android/hardware/wifi/supplicant/1.1/ISupplicantStaIface.h>
 #include <android/hardware/wifi/supplicant/1.1/ISupplicantStaNetwork.h>
 
 android::sp<android::hardware::wifi::supplicant::V1_1::ISupplicant>
     getSupplicant_1_1();
 
+android::sp<android::hardware::wifi::supplicant::V1_1::ISupplicantStaIface>
+    getSupplicantStaIface_1_1();
+
 android::sp<android::hardware::wifi::supplicant::V1_1::ISupplicantStaNetwork>
     createSupplicantStaNetwork_1_1();
 
diff --git a/wifi/supplicant/1.1/vts/functional/supplicant_sta_iface_hidl_test.cpp b/wifi/supplicant/1.1/vts/functional/supplicant_sta_iface_hidl_test.cpp
new file mode 100644
index 0000000..c5e6319
--- /dev/null
+++ b/wifi/supplicant/1.1/vts/functional/supplicant_sta_iface_hidl_test.cpp
@@ -0,0 +1,139 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <android-base/logging.h>
+
+#include <VtsHalHidlTargetTestBase.h>
+
+#include <android/hardware/wifi/supplicant/1.1/ISupplicantStaIface.h>
+
+#include "supplicant_hidl_test_utils.h"
+#include "supplicant_hidl_test_utils_1_1.h"
+
+using ::android::sp;
+using ::android::hardware::hidl_array;
+using ::android::hardware::hidl_string;
+using ::android::hardware::hidl_vec;
+using ::android::hardware::Return;
+using ::android::hardware::Void;
+using ::android::hardware::wifi::supplicant::V1_1::ISupplicantStaIface;
+using ::android::hardware::wifi::supplicant::V1_1::ISupplicantStaIfaceCallback;
+using ::android::hardware::wifi::supplicant::V1_0::SupplicantStatus;
+using ::android::hardware::wifi::supplicant::V1_0::SupplicantStatusCode;
+
+class SupplicantStaIfaceHidlTest
+    : public ::testing::VtsHalHidlTargetTestBase {
+ public:
+  virtual void SetUp() override {
+      startSupplicantAndWaitForHidlService();
+      EXPECT_TRUE(turnOnExcessiveLogging());
+      sta_iface_ = getSupplicantStaIface_1_1();
+      ASSERT_NE(sta_iface_.get(), nullptr);
+  }
+
+  virtual void TearDown() override { stopSupplicant(); }
+
+ protected:
+  // ISupplicantStaIface object used for all tests in this fixture.
+  sp<ISupplicantStaIface> sta_iface_;
+};
+
+class IfaceCallback : public ISupplicantStaIfaceCallback {
+    Return<void> onNetworkAdded(uint32_t /* id */) override { return Void(); }
+    Return<void> onNetworkRemoved(uint32_t /* id */) override { return Void(); }
+    Return<void> onStateChanged(
+        ISupplicantStaIfaceCallback::State /* newState */,
+        const hidl_array<uint8_t, 6>& /*bssid */, uint32_t /* id */,
+        const hidl_vec<uint8_t>& /* ssid */) override {
+        return Void();
+    }
+    Return<void> onAnqpQueryDone(
+        const hidl_array<uint8_t, 6>& /* bssid */,
+        const ISupplicantStaIfaceCallback::AnqpData& /* data */,
+        const ISupplicantStaIfaceCallback::Hs20AnqpData& /* hs20Data */)
+        override {
+        return Void();
+    }
+    virtual Return<void> onHs20IconQueryDone(
+        const hidl_array<uint8_t, 6>& /* bssid */,
+        const hidl_string& /* fileName */,
+        const hidl_vec<uint8_t>& /* data */) override {
+        return Void();
+    }
+    virtual Return<void> onHs20SubscriptionRemediation(
+        const hidl_array<uint8_t, 6>& /* bssid */,
+        ISupplicantStaIfaceCallback::OsuMethod /* osuMethod */,
+        const hidl_string& /* url*/) override {
+        return Void();
+    }
+    Return<void> onHs20DeauthImminentNotice(
+        const hidl_array<uint8_t, 6>& /* bssid */, uint32_t /* reasonCode */,
+        uint32_t /* reAuthDelayInSec */,
+        const hidl_string& /* url */) override {
+        return Void();
+    }
+    Return<void> onDisconnected(const hidl_array<uint8_t, 6>& /* bssid */,
+                                bool /* locallyGenerated */,
+                                ISupplicantStaIfaceCallback::ReasonCode
+                                /* reasonCode */) override {
+        return Void();
+    }
+    Return<void> onAssociationRejected(
+        const hidl_array<uint8_t, 6>& /* bssid */,
+        ISupplicantStaIfaceCallback::StatusCode /* statusCode */,
+        bool /*timedOut */) override {
+        return Void();
+    }
+    Return<void> onAuthenticationTimeout(
+        const hidl_array<uint8_t, 6>& /* bssid */) override {
+        return Void();
+    }
+    Return<void> onBssidChanged(
+        ISupplicantStaIfaceCallback::BssidChangeReason /* reason */,
+        const hidl_array<uint8_t, 6>& /* bssid */) override {
+        return Void();
+    }
+    Return<void> onEapFailure() override { return Void(); }
+    Return<void> onEapFailure_1_1(
+        ISupplicantStaIfaceCallback::EapErrorCode /* eapErrorCode */) override {
+        return Void();
+    }
+    Return<void> onWpsEventSuccess() override { return Void(); }
+    Return<void> onWpsEventFail(
+        const hidl_array<uint8_t, 6>& /* bssid */,
+        ISupplicantStaIfaceCallback::WpsConfigError /* configError */,
+        ISupplicantStaIfaceCallback::WpsErrorIndication /* errorInd */)
+        override {
+        return Void();
+    }
+    Return<void> onWpsEventPbcOverlap() override { return Void(); }
+    Return<void> onExtRadioWorkStart(uint32_t /* id */) override {
+        return Void();
+    }
+    Return<void> onExtRadioWorkTimeout(uint32_t /* id*/) override {
+        return Void();
+    }
+};
+
+/*
+ * RegisterCallback_1_1
+ */
+TEST_F(SupplicantStaIfaceHidlTest, RegisterCallback_1_1) {
+  sta_iface_->registerCallback_1_1(
+      new IfaceCallback(), [](const SupplicantStatus& status) {
+          EXPECT_EQ(SupplicantStatusCode::SUCCESS, status.code);
+      });
+}