diff --git a/health/filesystem/1.0/Android.bp b/atrace/1.0/Android.bp
similarity index 67%
copy from health/filesystem/1.0/Android.bp
copy to atrace/1.0/Android.bp
index cb7cf0e..f7c9078 100644
--- a/health/filesystem/1.0/Android.bp
+++ b/atrace/1.0/Android.bp
@@ -1,21 +1,21 @@
 // This file is autogenerated by hidl-gen -Landroidbp.
 
 hidl_interface {
-    name: "android.hardware.health.filesystem@1.0",
+    name: "android.hardware.atrace@1.0",
     root: "android.hardware",
     vndk: {
         enabled: true,
     },
     srcs: [
         "types.hal",
-        "IFileSystem.hal",
-        "IGarbageCollectCallback.hal",
+        "IAtraceDevice.hal",
     ],
     interfaces: [
         "android.hidl.base@1.0",
     ],
     types: [
-        "Result",
+        "Status",
+        "TracingCategory",
     ],
     gen_java: true,
 }
diff --git a/atrace/1.0/IAtraceDevice.hal b/atrace/1.0/IAtraceDevice.hal
new file mode 100644
index 0000000..b6e78b4
--- /dev/null
+++ b/atrace/1.0/IAtraceDevice.hal
@@ -0,0 +1,51 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.atrace@1.0;
+
+interface IAtraceDevice {
+    /**
+     * Get vendor extended atrace points.
+     *
+     *
+     * @return categories of tracing points the device extended.
+     */
+    listCategories() generates (vec<TracingCategory> categories);
+
+    /**
+     * A hook when atrace set to enable specific categories, so HAL
+     * can enable kernel tracing points and/or notify other things
+     * for userspace tracing turning on.
+     *
+     * @param categories A vector of strings of categories (corresponding to
+     *        TracingCategory.name) atrace needs to be enabled.
+     *
+     * @return status SUCCESS on success,
+     *         ERROR_TRACING_POINT on error with enabling categories,
+     *         ERROR_INVALID_ARGUMENT on invalid argument passed.
+     */
+    enableCategories(vec<string> categories) generates (Status status);
+
+    /**
+     * A hook when atrace set to clean up tracing categories, so HAL
+     * can disable all kernel tracing points and/or notify other things
+     * for userspace tracing turning off.
+     *
+     * @return status SUCCESS on success,
+     *         ERROR_TRACING_POINT on error with disabling categories.
+     */
+    disableAllCategories() generates (Status status);
+};
diff --git a/atrace/1.0/default/Android.bp b/atrace/1.0/default/Android.bp
new file mode 100644
index 0000000..bcaf064
--- /dev/null
+++ b/atrace/1.0/default/Android.bp
@@ -0,0 +1,35 @@
+//
+// 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.
+
+cc_binary {
+    name: "android.hardware.atrace@1.0-service",
+    defaults: ["hidl_defaults"],
+    relative_install_path: "hw",
+    vendor: true,
+    init_rc: ["android.hardware.atrace@1.0-service.rc"],
+    vintf_fragments: ["android.hardware.atrace@1.0-service.xml"],
+    srcs: [
+        "AtraceDevice.cpp",
+        "service.cpp",
+    ],
+    shared_libs: [
+        "liblog",
+        "libbase",
+        "libutils",
+        "libhidlbase",
+        "libhidltransport",
+        "android.hardware.atrace@1.0",
+    ],
+}
diff --git a/atrace/1.0/default/AtraceDevice.cpp b/atrace/1.0/default/AtraceDevice.cpp
new file mode 100644
index 0000000..43bcd9a
--- /dev/null
+++ b/atrace/1.0/default/AtraceDevice.cpp
@@ -0,0 +1,110 @@
+/*
+ * 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/file.h>
+#include <android-base/logging.h>
+
+#include "AtraceDevice.h"
+
+namespace android {
+namespace hardware {
+namespace atrace {
+namespace V1_0 {
+namespace implementation {
+
+using ::android::hardware::atrace::V1_0::Status;
+using ::android::hardware::atrace::V1_0::TracingCategory;
+
+struct TracingConfig {
+    std::string description;
+    std::vector<std::pair<std::string, bool>> paths;
+};
+
+// This is a map stores categories and their sysfs paths with required flags
+const std::map<std::string, TracingConfig> kTracingMap = {
+    // gfx
+    {
+        "gfx",
+        {"Graphics",
+         {{"/sys/kernel/debug/tracing/events/mdss/enable", false},
+          {"/sys/kernel/debug/tracing/events/sde/enable", false},
+          {"/sys/kernel/debug/tracing/events/mali_systrace/enable", false}}},
+    },
+    {
+        "ion",
+        {"ION allocation",
+         {{"/sys/kernel/debug/tracing/events/kmem/ion_alloc_buffer_start/enable", true}}},
+    },
+};
+
+// Methods from ::android::hardware::atrace::V1_0::IAtraceDevice follow.
+Return<void> AtraceDevice::listCategories(listCategories_cb _hidl_cb) {
+    hidl_vec<TracingCategory> categories;
+    categories.resize(kTracingMap.size());
+    std::size_t i = 0;
+    for (auto& c : kTracingMap) {
+        categories[i].name = c.first;
+        categories[i].description = c.second.description;
+        i++;
+    }
+    _hidl_cb(categories);
+    return Void();
+}
+
+Return<::android::hardware::atrace::V1_0::Status> AtraceDevice::enableCategories(
+    const hidl_vec<hidl_string>& categories) {
+    if (!categories.size()) {
+        return Status::ERROR_INVALID_ARGUMENT;
+    }
+    for (auto& c : categories) {
+        if (kTracingMap.count(c)) {
+            for (auto& p : kTracingMap.at(c).paths) {
+                if (!android::base::WriteStringToFile("1", p.first)) {
+                    LOG(ERROR) << "Failed to enable tracing on: " << p.first;
+                    if (p.second) {
+                        // disable before return
+                        disableAllCategories();
+                        return Status::ERROR_TRACING_POINT;
+                    }
+                }
+            }
+        } else {
+            return Status::ERROR_INVALID_ARGUMENT;
+        }
+    }
+    return Status::SUCCESS;
+}
+
+Return<::android::hardware::atrace::V1_0::Status> AtraceDevice::disableAllCategories() {
+    auto ret = Status::SUCCESS;
+    for (auto& c : kTracingMap) {
+        for (auto& p : c.second.paths) {
+            if (!android::base::WriteStringToFile("0", p.first)) {
+                LOG(ERROR) << "Failed to enable tracing on: " << p.first;
+                if (p.second) {
+                    ret = Status::ERROR_TRACING_POINT;
+                }
+            }
+        }
+    }
+    return ret;
+}
+
+}  // namespace implementation
+}  // namespace V1_0
+}  // namespace atrace
+}  // namespace hardware
+}  // namespace android
diff --git a/atrace/1.0/default/AtraceDevice.h b/atrace/1.0/default/AtraceDevice.h
new file mode 100644
index 0000000..e700f89
--- /dev/null
+++ b/atrace/1.0/default/AtraceDevice.h
@@ -0,0 +1,54 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_ATRACE_V1_0_ATRACEDEVICE_H
+#define ANDROID_HARDWARE_ATRACE_V1_0_ATRACEDEVICE_H
+
+#include <android/hardware/atrace/1.0/IAtraceDevice.h>
+#include <hidl/MQDescriptor.h>
+#include <hidl/Status.h>
+
+namespace android {
+namespace hardware {
+namespace atrace {
+namespace V1_0 {
+namespace implementation {
+
+using ::android::sp;
+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;
+
+struct AtraceDevice : public IAtraceDevice {
+    // Methods from ::android::hardware::atrace::V1_0::IAtraceDevice follow.
+    Return<void> listCategories(listCategories_cb _hidl_cb) override;
+    Return<::android::hardware::atrace::V1_0::Status> enableCategories(
+        const hidl_vec<hidl_string>& categories) override;
+    Return<::android::hardware::atrace::V1_0::Status> disableAllCategories() override;
+
+    // Methods from ::android::hidl::base::V1_0::IBase follow.
+};
+
+}  // namespace implementation
+}  // namespace V1_0
+}  // namespace atrace
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_ATRACE_V1_0_ATRACEDEVICE_H
diff --git a/atrace/1.0/default/android.hardware.atrace@1.0-service.rc b/atrace/1.0/default/android.hardware.atrace@1.0-service.rc
new file mode 100644
index 0000000..eb54c39
--- /dev/null
+++ b/atrace/1.0/default/android.hardware.atrace@1.0-service.rc
@@ -0,0 +1,13 @@
+on late-init
+    # vendor graphics trace points
+    chmod 0666 /sys/kernel/debug/tracing/events/sde/enable
+    chmod 0666 /sys/kernel/debug/tracing/events/mdss/enable
+    chmod 0666 /sys/kernel/debug/tracing/events/mali_systrace/enable
+    # ion allocation trace point
+    chmod 0666 /sys/kernel/debug/tracing/events/kmem/ion_alloc_buffer_start/enable
+
+service vendor.atrace-hal-1-0 /vendor/bin/hw/android.hardware.atrace@1.0-service
+    interface android.hardware.atrace@1.0::IAtraceDevice default
+    class early_hal
+    user system
+    group system
diff --git a/atrace/1.0/default/android.hardware.atrace@1.0-service.xml b/atrace/1.0/default/android.hardware.atrace@1.0-service.xml
new file mode 100644
index 0000000..fd3631c
--- /dev/null
+++ b/atrace/1.0/default/android.hardware.atrace@1.0-service.xml
@@ -0,0 +1,11 @@
+<manifest version="1.0" type="device">
+    <hal format="hidl">
+        <name>android.hardware.atrace</name>
+        <transport>hwbinder</transport>
+        <version>1.0</version>
+        <interface>
+            <name>IAtraceDevice</name>
+            <instance>default</instance>
+        </interface>
+    </hal>
+</manifest>
diff --git a/atrace/1.0/default/service.cpp b/atrace/1.0/default/service.cpp
new file mode 100644
index 0000000..662fd73
--- /dev/null
+++ b/atrace/1.0/default/service.cpp
@@ -0,0 +1,44 @@
+/*
+ * 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 "android.hardware.atrace@1.0-service"
+
+#include <hidl/HidlSupport.h>
+#include <hidl/HidlTransportSupport.h>
+
+#include "AtraceDevice.h"
+
+using ::android::OK;
+using ::android::sp;
+using ::android::hardware::configureRpcThreadpool;
+using ::android::hardware::joinRpcThreadpool;
+using ::android::hardware::atrace::V1_0::IAtraceDevice;
+using ::android::hardware::atrace::V1_0::Status;
+using ::android::hardware::atrace::V1_0::TracingCategory;
+using ::android::hardware::atrace::V1_0::implementation::AtraceDevice;
+
+int main(int /* argc */, char* /* argv */ []) {
+    sp<IAtraceDevice> atrace = new AtraceDevice;
+    configureRpcThreadpool(1, true /* will join */);
+    if (atrace->registerAsService() != OK) {
+        ALOGE("Could not register service.");
+        return 1;
+    }
+    joinRpcThreadpool();
+
+    ALOGE("Service exited!");
+    return 1;
+}
diff --git a/atrace/1.0/types.hal b/atrace/1.0/types.hal
new file mode 100644
index 0000000..f137ef6
--- /dev/null
+++ b/atrace/1.0/types.hal
@@ -0,0 +1,43 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.atrace@1.0;
+
+enum Status : uint32_t {
+    /**
+     * Operation completed without errors.
+     */
+    SUCCESS = 0,
+    /**
+     * Operation failed with errors on enabling tracing point.
+     */
+    ERROR_TRACING_POINT = 1,
+    /**
+     * Operation failed because of invalid argument.
+     */
+    ERROR_INVALID_ARGUMENT = 2
+};
+
+struct TracingCategory {
+    /**
+     * Tracing category name, unique to frameworks's category.
+     */
+    string name;
+    /**
+     * Tracing category description.
+     */
+    string description;
+};
diff --git a/atrace/1.0/vts/functional/Android.bp b/atrace/1.0/vts/functional/Android.bp
new file mode 100644
index 0000000..6b50fb5
--- /dev/null
+++ b/atrace/1.0/vts/functional/Android.bp
@@ -0,0 +1,22 @@
+//
+// 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.
+//
+
+cc_test {
+    name: "VtsHalAtraceV1_0TargetTest",
+    defaults: ["VtsHalTargetTestDefaults"],
+    srcs: ["VtsHalAtraceV1_0TargetTest.cpp"],
+    static_libs: ["android.hardware.atrace@1.0"],
+}
diff --git a/atrace/1.0/vts/functional/VtsHalAtraceV1_0TargetTest.cpp b/atrace/1.0/vts/functional/VtsHalAtraceV1_0TargetTest.cpp
new file mode 100644
index 0000000..c62c2f0
--- /dev/null
+++ b/atrace/1.0/vts/functional/VtsHalAtraceV1_0TargetTest.cpp
@@ -0,0 +1,118 @@
+/*
+ * 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 <unordered_set>
+
+#include <android/hardware/atrace/1.0/IAtraceDevice.h>
+
+#include <VtsHalHidlTargetTestBase.h>
+#include <VtsHalHidlTargetTestEnvBase.h>
+
+using ::android::sp;
+using ::android::hardware::hidl_string;
+using ::android::hardware::hidl_vec;
+using ::android::hardware::Return;
+using ::android::hardware::atrace::V1_0::IAtraceDevice;
+using ::android::hardware::atrace::V1_0::Status;
+
+// Test environment for Boot HIDL HAL.
+class AtraceHidlEnvironment : public ::testing::VtsHalHidlTargetTestEnvBase {
+   public:
+    // get the test environment singleton
+    static AtraceHidlEnvironment* Instance() {
+        static AtraceHidlEnvironment* instance = new AtraceHidlEnvironment;
+        return instance;
+    }
+
+    virtual void registerTestServices() override { registerTestService<IAtraceDevice>(); }
+
+   private:
+    AtraceHidlEnvironment() {}
+};
+
+/**
+ * There is no expected behaviour that can be tested so these tests check the
+ * HAL doesn't crash with different execution orders.
+ */
+struct AtraceHidlTest : public ::testing::VtsHalHidlTargetTestBase {
+    virtual void SetUp() override {
+        atrace = ::testing::VtsHalHidlTargetTestBase::getService<IAtraceDevice>(
+            AtraceHidlEnvironment::Instance()->getServiceName<IAtraceDevice>());
+        ASSERT_NE(atrace, nullptr);
+    }
+
+    sp<IAtraceDevice> atrace;
+};
+
+hidl_vec<hidl_string> getVendorCategoryName(sp<IAtraceDevice> atrace) {
+    std::unordered_set<std::string> categories_set;
+    Return<void> ret = atrace->listCategories([&](const auto& list) {
+        for (const auto& category : list) {
+            std::string name = category.name;
+            if (categories_set.count(name)) {
+                ADD_FAILURE() << "Duplicate category: " << name;
+            } else {
+                categories_set.emplace(name);
+            }
+        }
+    });
+    if (!ret.isOk()) {
+        ADD_FAILURE();
+    }
+    hidl_vec<hidl_string> categories;
+    categories.resize(categories_set.size());
+    std::size_t i = 0;
+    for (auto& c : categories_set) {
+        categories[i++] = c;
+    }
+    return categories;
+}
+
+/* list categories from vendors. */
+TEST_F(AtraceHidlTest, listCategories) {
+    hidl_vec<hidl_string> vnd_categories = getVendorCategoryName(atrace);
+    EXPECT_NE(0, vnd_categories.size());
+}
+
+/* enable categories. */
+TEST_F(AtraceHidlTest, enableCategories) {
+    hidl_vec<hidl_string> vnd_categories = getVendorCategoryName(atrace);
+    // empty Category with ERROR_INVALID_ARGUMENT
+    hidl_vec<hidl_string> empty_categories;
+    auto ret = atrace->enableCategories(empty_categories);
+    ASSERT_TRUE(ret.isOk());
+    EXPECT_EQ(Status::ERROR_INVALID_ARGUMENT, ret);
+    // non-empty categories SUCCESS
+    ret = atrace->enableCategories(vnd_categories);
+    ASSERT_TRUE(ret.isOk());
+    EXPECT_EQ(Status::SUCCESS, ret);
+}
+
+/* enable categories. */
+TEST_F(AtraceHidlTest, disableAllCategories) {
+    auto ret = atrace->disableAllCategories();
+    ASSERT_TRUE(ret.isOk());
+    EXPECT_EQ(Status::SUCCESS, ret);
+}
+
+int main(int argc, char** argv) {
+    ::testing::AddGlobalTestEnvironment(AtraceHidlEnvironment::Instance());
+    ::testing::InitGoogleTest(&argc, argv);
+    AtraceHidlEnvironment::Instance()->init(&argc, argv);
+    int status = RUN_ALL_TESTS();
+    ALOGI("Test result = %d", status);
+    return status;
+}
diff --git a/audio/core/4.0/vts/functional/AudioPrimaryHidlHalTest.cpp b/audio/core/4.0/vts/functional/AudioPrimaryHidlHalTest.cpp
index f4ab542..3a7c284 100644
--- a/audio/core/4.0/vts/functional/AudioPrimaryHidlHalTest.cpp
+++ b/audio/core/4.0/vts/functional/AudioPrimaryHidlHalTest.cpp
@@ -29,6 +29,8 @@
 #include <fcntl.h>
 #include <unistd.h>
 
+#include <hwbinder/IPCThreadState.h>
+
 #include <VtsHalHidlTargetTestBase.h>
 
 #include <android-base/logging.h>
@@ -63,6 +65,7 @@
 using ::android::hardware::hidl_handle;
 using ::android::hardware::hidl_string;
 using ::android::hardware::hidl_vec;
+using ::android::hardware::IPCThreadState;
 using ::android::hardware::kSynchronizedReadWrite;
 using ::android::hardware::MessageQueue;
 using ::android::hardware::MQDescriptorSync;
@@ -170,15 +173,25 @@
 
 TEST_F(AudioHidlTest, OpenPrimaryDeviceUsingGetDevice) {
     doc::test("Calling openDevice(\"primary\") should return the primary device.");
-    Result result;
-    sp<IDevice> baseDevice;
-    ASSERT_OK(devicesFactory->openDevice("primary", returnIn(result, baseDevice)));
-    ASSERT_OK(result);
-    ASSERT_TRUE(baseDevice != nullptr);
+    {
+        Result result;
+        sp<IDevice> baseDevice;
+        ASSERT_OK(devicesFactory->openDevice("primary", returnIn(result, baseDevice)));
+        ASSERT_OK(result);
+        ASSERT_TRUE(baseDevice != nullptr);
 
-    Return<sp<IPrimaryDevice>> primaryDevice = IPrimaryDevice::castFrom(baseDevice);
-    ASSERT_TRUE(primaryDevice.isOk());
-    ASSERT_TRUE(sp<IPrimaryDevice>(primaryDevice) != nullptr);
+        Return<sp<IPrimaryDevice>> primaryDevice = IPrimaryDevice::castFrom(baseDevice);
+        ASSERT_TRUE(primaryDevice.isOk());
+        ASSERT_TRUE(sp<IPrimaryDevice>(primaryDevice) != nullptr);
+    }  // Destroy local IDevice proxy
+    // FIXME: there is no way to know when the remote IDevice is being destroyed
+    //        Binder does not support testing if an object is alive, thus
+    //        wait for 100ms to let the binder destruction propagates and
+    //        the remote device has the time to be destroyed.
+    //        flushCommand makes sure all local command are sent, thus should reduce
+    //        the latency between local and remote destruction.
+    IPCThreadState::self()->flushCommands();
+    usleep(100);
 }
 
 //////////////////////////////////////////////////////////////////////////////
@@ -1470,6 +1483,7 @@
         "Make sure setBtHfpVolume is either not supported or "
         "only succeed if volume is in [0,1]");
     auto ret = device->setBtHfpVolume(0.0);
+    ASSERT_TRUE(ret.isOk());
     if (ret == Result::NOT_SUPPORTED) {
         doc::partialTest("setBtHfpVolume is not supported");
         return;
diff --git a/automotive/vehicle/2.0/types.hal b/automotive/vehicle/2.0/types.hal
index 7fe8377..4d07386 100644
--- a/automotive/vehicle/2.0/types.hal
+++ b/automotive/vehicle/2.0/types.hal
@@ -322,6 +322,21 @@
         | VehicleArea:GLOBAL),
 
     /**
+     * Steering angle of the vehicle
+     *
+     * Angle is in degrees.  Left is negative.
+     *
+     * @change_mode VehiclePropertyChangeMode:CONTINUOUS
+     * @access VehiclePropertyAccess:READ
+     * @unit VehicleUnit:DEGREES
+     */
+    PERF_STEERING_ANGLE = (
+        0x0209
+        | VehiclePropertyGroup:SYSTEM
+        | VehiclePropertyType:FLOAT
+        | VehicleArea:GLOBAL),
+
+    /**
      * Temperature of engine coolant
      *
      * @change_mode VehiclePropertyChangeMode:CONTINUOUS
@@ -2421,13 +2436,15 @@
     NANO_SECS      = 0x50,
     SECS           = 0x53,
     YEAR           = 0x59,
-    KILOPASCAL     = 0x70,
 
     // Electrical Units
     WATT_HOUR      = 0x60,
     MILLIAMPERE    = 0x61,
     MILLIVOLT      = 0x62,
     MILLIWATTS     = 0x63,
+
+    KILOPASCAL     = 0x70,
+    DEGREES        = 0x80,
 };
 
 /**
diff --git a/biometrics/face/1.0/IBiometricsFace.hal b/biometrics/face/1.0/IBiometricsFace.hal
index f39eaeb..1c7bfb9 100644
--- a/biometrics/face/1.0/IBiometricsFace.hal
+++ b/biometrics/face/1.0/IBiometricsFace.hal
@@ -78,11 +78,15 @@
      * template if the operation was preceded by some kind of strong credential
      * confirmation (e.g. device password).
      *
+     * @param challengeTimeoutSec A timeout in seconds, after which the driver
+     *     must invalidate the challenge. This is to prevent bugs or crashes in
+     *     the system from leaving a challenge enabled indefinitely.
      * @return result, with its "value" parameter representing a "challenge": a
      *     unique and cryptographically secure random token.
      */
     @callflow(next={"enroll", "revokeChallenge", "setRequireAttention"})
-    generateChallenge() generates (OptionalUint64 result);
+    generateChallenge(uint32_t challengeTimeoutSec)
+        generates (OptionalUint64 result);
 
     /**
      * Enrolls a user's face.
diff --git a/biometrics/face/1.0/types.hal b/biometrics/face/1.0/types.hal
index 92cb70d..2628af9 100644
--- a/biometrics/face/1.0/types.hal
+++ b/biometrics/face/1.0/types.hal
@@ -212,8 +212,10 @@
     FACE_TOO_LEFT = 9,
 
     /**
-     * The user's face was directed away from the sensor. The user should be
-     * informed to face the sensor when this is returned.
+     * The user's eyes have strayed away from the sensor. If this message is
+     * sent, the user should be informed to look at the device. If the user
+     * can't be found in the frame, one of the other acquisition messages
+     * must be sent, e.g. NOT_DETECTED.
      */
     POOR_GAZE = 10,
 
@@ -234,7 +236,11 @@
     TOO_MUCH_MOTION = 12,
 
     /**
-     * The sensor needs to be recalibrated.
+     * The sensor needs to be re-calibrated. This is an unexpected condition,
+     * and must only be sent if a serious, uncorrectable, and unrecoverable
+     * calibration issue is detected which requires user intervention, e.g.
+     * re-enrolling. The expected response to this message is to direct the
+     * user to re-enroll.
      */
     RECALIBRATE = 13,
 
diff --git a/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp b/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp
index 439333d..f2a7836 100644
--- a/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp
+++ b/camera/provider/2.4/vts/functional/VtsHalCameraProviderV2_4TargetTest.cpp
@@ -2080,6 +2080,14 @@
                     } else {
                         ADD_FAILURE() << "Get camera hardware level failed!";
                     }
+
+                    entry.count = 0;
+                    retcode = find_camera_metadata_ro_entry(metadata,
+                            ANDROID_REQUEST_CHARACTERISTIC_KEYS_NEEDING_PERMISSION, &entry);
+                    if ((0 == retcode) || (entry.count > 0)) {
+                        ADD_FAILURE() << "ANDROID_REQUEST_CHARACTERISTIC_KEYS_NEEDING_PERMISSION "
+                            << " per API contract should never be set by Hal!";
+                    }
                 });
                 ASSERT_TRUE(ret.isOk());
             }
diff --git a/compatibility_matrices/compatibility_matrix.current.xml b/compatibility_matrices/compatibility_matrix.current.xml
index 73afb1b..ff5b3e8 100644
--- a/compatibility_matrices/compatibility_matrix.current.xml
+++ b/compatibility_matrices/compatibility_matrix.current.xml
@@ -1,5 +1,13 @@
 <compatibility-matrix version="1.0" type="framework" level="4">
     <hal format="hidl" optional="false">
+        <name>android.hardware.atrace</name>
+        <version>1.0</version>
+        <interface>
+            <name>IAtraceDevice</name>
+            <instance>default</instance>
+        </interface>
+    </hal>
+    <hal format="hidl" optional="false">
         <name>android.hardware.audio</name>
         <version>4.0</version>
         <interface>
@@ -216,10 +224,10 @@
         </interface>
     </hal>
     <hal format="hidl" optional="true">
-        <name>android.hardware.health.filesystem</name>
+        <name>android.hardware.health.storage</name>
         <version>1.0</version>
         <interface>
-            <name>IFileSystem</name>
+            <name>IStorage</name>
             <instance>default</instance>
         </interface>
     </hal>
diff --git a/configstore/1.0/ISurfaceFlingerConfigs.hal b/configstore/1.0/ISurfaceFlingerConfigs.hal
index 0790905..1de7570 100644
--- a/configstore/1.0/ISurfaceFlingerConfigs.hal
+++ b/configstore/1.0/ISurfaceFlingerConfigs.hal
@@ -61,7 +61,7 @@
     hasWideColorDisplay() generates (OptionalBool value);
 
     /**
-     * hwHdrDisplay indicates that the device has an High Dynamic Range display.
+     * hwHDRDisplay indicates that the device has an High Dynamic Range display.
      * A display is considered High Dynamic Range if it
      *
      *     1. is a wide color gamut display, typically DCI-P3 or lager
diff --git a/current.txt b/current.txt
index 7c77b36..4709ab3 100644
--- a/current.txt
+++ b/current.txt
@@ -389,10 +389,11 @@
 f61b616732d8f374e030f90575d7eba3ecc99d209a05b945949ba892bcb81e1d android.hardware.camera.device@3.2::ICameraDeviceSession
 684702a60deef03a1e8093961dc0a18c555c857ad5a77ba7340b0635ae01eb70 android.hardware.camera.device@3.4::ICameraDeviceSession
 a95745bbf76aea16a76518bd7efe70cabc5886d09eaeffc993c2e1787a22ed23 android.hardware.camera.metadata@3.3::types
-5f936a5befde7af8d2a683670f80a836b4741e94d84b7b39026da3ed78be9906 android.hardware.configstore@1.0::ISurfaceFlingerConfigs
+da33234403ff5d60f3473711917b9948e6484a4260b5247acdafb111193a9de2 android.hardware.configstore@1.0::ISurfaceFlingerConfigs
+b7ecf29927055ec422ec44bf776223f07d79ad9f92ccf9becf167e62c2607e7a android.hardware.keymaster@4.0::IKeymasterDevice
 574e8f1499436fb4075894dcae0b36682427956ecb114f17f1fe22d116a83c6b android.hardware.neuralnetworks@1.0::IPreparedModel
-1a5ae9793223658174258b523763c557abad6fb917df0b8e3cc097fc89035811 android.hardware.neuralnetworks@1.0::types
-4310eb8272f085914952f3bfb73a8f8bb477a80e8b93596f0ea5acb58546b66d android.hardware.neuralnetworks@1.1::types
+1fb32361286b938d48a55c2539c846732afce0b99fe08590f556643125bc13d3 android.hardware.neuralnetworks@1.0::types
+e22e8135d061d0e9c4c1a70c25c19fdba10f4d3cda9795ef25b6392fc520317c android.hardware.neuralnetworks@1.1::types
 1d4a5776614c08b5d794a5ec5ab04697260cbd4b3441d5935cd53ee71d19da02 android.hardware.radio@1.0::IRadioResponse
 271187e261b30c01a33011aea257c07a2d2f05b72943ebee89e973e997849973 android.hardware.radio@1.0::types
 1d19720d4fd38b1095f0f555a4bd92b3b12c9b1d0f560b0e9a474cd6dcc20db6 android.hardware.radio@1.2::IRadio
diff --git a/fastboot/1.0/IFastboot.hal b/fastboot/1.0/IFastboot.hal
index 653fd79..a96755e 100644
--- a/fastboot/1.0/IFastboot.hal
+++ b/fastboot/1.0/IFastboot.hal
@@ -29,4 +29,34 @@
      *     reformatting.
      */
     getPartitionType(string partitionName) generates (FileSystemType type, Result result);
+
+    /**
+     * Executes a fastboot OEM command.
+     *
+     * @param oemCmdArgs The oem command that is passed to the fastboot HAL.
+     * @response result Returns the status SUCCESS if the operation is successful,
+     *     INVALID_ARGUMENT for bad arguments,
+     *     FAILURE_UNKNOWN for an invalid/unsupported command.
+     */
+    doOemCommand(string oemCmd) generates (Result result);
+
+    /**
+     * Returns an OEM-defined string indicating the variant of the device, for
+     * example, US and ROW.
+     *
+     * @response variant Indicates the device variant.
+     * @response result Returns the status SUCCESS if the operation is successful,
+     *     FAILURE_UNKNOWN otherwise.
+     */
+    getVariant() generates (string variant, Result result);
+
+    /**
+     * Returns whether off-mode-charging is enabled. If enabled, the device
+     * autoboots into a special mode when power is applied.
+     *
+     * @response state Returns whether off mode charging is enabled.
+     * @response result Returns the status SUCCESS if the operation is successful,
+     *     FAILURE_UNKNOWN otherwise.
+     */
+    getOffModeChargeState() generates (bool state, Result result);
 };
diff --git a/fastboot/1.0/types.hal b/fastboot/1.0/types.hal
index 8453deb..3fbe639 100644
--- a/fastboot/1.0/types.hal
+++ b/fastboot/1.0/types.hal
@@ -53,9 +53,9 @@
 struct Result {
     Status status;
     /**
-     * Error message pertaining to the status. It must be a failure message for
+     * Message pertaining to the status. It must be a failure message for
      * Status FAILURE_UNKNOWN/NOT_SUPPORTED or an informative message for
      * Status SUCCESS.
      */
-    string error;
+    string message;
 };
diff --git a/graphics/composer/2.1/utils/vts/ComposerVts.cpp b/graphics/composer/2.1/utils/vts/ComposerVts.cpp
index 1cafafe..250c392 100644
--- a/graphics/composer/2.1/utils/vts/ComposerVts.cpp
+++ b/graphics/composer/2.1/utils/vts/ComposerVts.cpp
@@ -311,6 +311,8 @@
                                  ASSERT_TRUE(reader->readQueue(tmpOutLength, tmpOutHandles));
                                  reader->parse();
                              });
+    reader->reset();
+    writer->reset();
 }
 
 }  // namespace vts
diff --git a/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp b/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp
index 8b8c7ae..0a3e88b 100644
--- a/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp
+++ b/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp
@@ -71,6 +71,7 @@
 class GraphicsComposerHidlTest : public ::testing::VtsHalHidlTargetTestBase {
    protected:
     void SetUp() override {
+        VtsHalHidlTargetTestBase::SetUp();
         ASSERT_NO_FATAL_FAILURE(
             mComposer = std::make_unique<Composer>(
                 GraphicsComposerHidlEnvironment::Instance()->getServiceName<IComposer>()));
@@ -100,6 +101,7 @@
             EXPECT_EQ(0, mComposerCallback->getInvalidRefreshCount());
             EXPECT_EQ(0, mComposerCallback->getInvalidVsyncCount());
         }
+        VtsHalHidlTargetTestBase::TearDown();
     }
 
     // returns an invalid display id (one that has not been registered to a
@@ -668,6 +670,11 @@
 
         ASSERT_NO_FATAL_FAILURE(mGralloc = std::make_unique<Gralloc>());
 
+        Config activeConfig = mComposerClient->getActiveConfig(mPrimaryDisplay);
+        mDisplayWidth = mComposerClient->getDisplayAttribute(mPrimaryDisplay, activeConfig,
+                                                             IComposerClient::Attribute::WIDTH);
+        mDisplayHeight = mComposerClient->getDisplayAttribute(mPrimaryDisplay, activeConfig,
+                                                              IComposerClient::Attribute::HEIGHT);
         mWriter = std::make_unique<CommandWriterBase>(1024);
         mReader = std::make_unique<TestCommandReader>();
     }
@@ -679,12 +686,13 @@
 
     const native_handle_t* allocate() {
         IMapper::BufferDescriptorInfo info{};
-        info.width = 64;
-        info.height = 64;
+        info.width = mDisplayWidth;
+        info.height = mDisplayHeight;
         info.layerCount = 1;
         info.format = PixelFormat::RGBA_8888;
         info.usage =
-            static_cast<uint64_t>(BufferUsage::CPU_WRITE_OFTEN | BufferUsage::CPU_READ_OFTEN);
+            static_cast<uint64_t>(BufferUsage::CPU_WRITE_OFTEN | BufferUsage::CPU_READ_OFTEN |
+                                  BufferUsage::COMPOSER_OVERLAY);
 
         return mGralloc->allocate(info);
     }
@@ -693,6 +701,8 @@
 
     std::unique_ptr<CommandWriterBase> mWriter;
     std::unique_ptr<TestCommandReader> mReader;
+    int32_t mDisplayWidth;
+    int32_t mDisplayHeight;
 
    private:
     std::unique_ptr<Gralloc> mGralloc;
@@ -779,6 +789,60 @@
 }
 
 /**
+ * Test IComposerClient::Command::PRESENT_DISPLAY
+ *
+ * Test that IComposerClient::Command::PRESENT_DISPLAY works without
+ * additional call to validateDisplay when only the layer buffer handle and
+ * surface damage have been set
+ */
+TEST_F(GraphicsComposerHidlCommandTest, PRESENT_DISPLAY_NO_LAYER_STATE_CHANGES) {
+    mWriter->selectDisplay(mPrimaryDisplay);
+    mComposerClient->setPowerMode(mPrimaryDisplay, IComposerClient::PowerMode::ON);
+    mComposerClient->setColorMode(mPrimaryDisplay, ColorMode::SRGB);
+
+    auto handle = allocate();
+    ASSERT_NE(nullptr, handle);
+
+    IComposerClient::Rect displayFrame{0, 0, mDisplayWidth, mDisplayHeight};
+
+    Layer layer;
+    ASSERT_NO_FATAL_FAILURE(layer =
+                                mComposerClient->createLayer(mPrimaryDisplay, kBufferSlotCount));
+    mWriter->selectLayer(layer);
+    mWriter->setLayerCompositionType(IComposerClient::Composition::DEVICE);
+    mWriter->setLayerDisplayFrame(displayFrame);
+    mWriter->setLayerPlaneAlpha(1);
+    mWriter->setLayerSourceCrop({0, 0, (float)mDisplayWidth, (float)mDisplayHeight});
+    mWriter->setLayerTransform(static_cast<Transform>(0));
+    mWriter->setLayerVisibleRegion(std::vector<IComposerClient::Rect>(1, displayFrame));
+    mWriter->setLayerZOrder(10);
+    mWriter->setLayerBlendMode(IComposerClient::BlendMode::NONE);
+    mWriter->setLayerSurfaceDamage(std::vector<IComposerClient::Rect>(1, displayFrame));
+    mWriter->setLayerBuffer(0, handle, -1);
+    mWriter->setLayerDataspace(Dataspace::UNKNOWN);
+
+    mWriter->validateDisplay();
+    execute();
+    if (mReader->mCompositionChanges.size() != 0) {
+        GTEST_SUCCEED() << "Composition change requested, skipping test";
+        return;
+    }
+
+    ASSERT_EQ(0, mReader->mErrors.size());
+    mWriter->presentDisplay();
+    execute();
+    ASSERT_EQ(0, mReader->mErrors.size());
+
+    mWriter->selectLayer(layer);
+    auto handle2 = allocate();
+    ASSERT_NE(nullptr, handle2);
+    mWriter->setLayerBuffer(0, handle2, -1);
+    mWriter->setLayerSurfaceDamage(std::vector<IComposerClient::Rect>(1, {0, 0, 10, 10}));
+    mWriter->presentDisplay();
+    execute();
+}
+
+/**
  * Test IComposerClient::Command::SET_LAYER_CURSOR_POSITION.
  */
 TEST_F(GraphicsComposerHidlCommandTest, SET_LAYER_CURSOR_POSITION) {
diff --git a/graphics/composer/2.2/utils/vts/ComposerVts.cpp b/graphics/composer/2.2/utils/vts/ComposerVts.cpp
index d8fb656..da99460 100644
--- a/graphics/composer/2.2/utils/vts/ComposerVts.cpp
+++ b/graphics/composer/2.2/utils/vts/ComposerVts.cpp
@@ -86,6 +86,8 @@
                                  ASSERT_TRUE(reader->readQueue(tmpOutLength, tmpOutHandles));
                                  reader->parse();
                              });
+    reader->reset();
+    writer->reset();
 }
 
 Display ComposerClient::createVirtualDisplay_2_2(uint32_t width, uint32_t height,
diff --git a/graphics/composer/2.3/Android.bp b/graphics/composer/2.3/Android.bp
index 23061dd..78da099 100644
--- a/graphics/composer/2.3/Android.bp
+++ b/graphics/composer/2.3/Android.bp
@@ -12,6 +12,7 @@
     ],
     interfaces: [
         "android.hardware.graphics.common@1.0",
+        "android.hardware.graphics.common@1.1",
         "android.hardware.graphics.composer@2.1",
         "android.hardware.graphics.composer@2.2",
         "android.hidl.base@1.0",
diff --git a/graphics/composer/2.3/IComposerClient.hal b/graphics/composer/2.3/IComposerClient.hal
index 77dd3ee..089438e 100644
--- a/graphics/composer/2.3/IComposerClient.hal
+++ b/graphics/composer/2.3/IComposerClient.hal
@@ -16,12 +16,58 @@
 
 package android.hardware.graphics.composer@2.3;
 
+import android.hardware.graphics.composer@2.1::IComposerClient.Command;
 import @2.2::IComposerClient;
 import @2.1::Display;
 import @2.1::Error;
 
 interface IComposerClient extends @2.2::IComposerClient {
 
+    enum Command : @2.2::IComposerClient.Command {
+        /**
+         * SET_LAYER_COLOR_TRANSFORM has this pseudo prototype
+         *
+         *   setLayerColorTransform(float[16] matrix);
+         *
+         * This command has the following binary layout in bytes:
+         *
+         *     0 - 16 * 4: matrix
+         *
+         * Sets a matrix for color transform which will be applied on this layer
+         * before composition.
+         *
+         * If the device is not capable of apply the matrix on this layer, it must force
+         * this layer to client composition during VALIDATE_DISPLAY.
+         *
+         * The matrix provided is an affine color transformation of the following
+         * form:
+         *
+         * |r.r r.g r.b 0|
+         * |g.r g.g g.b 0|
+         * |b.r b.g b.b 0|
+         * |Tr  Tg  Tb  1|
+         *
+         * This matrix must be provided in row-major form:
+         *
+         * {r.r, r.g, r.b, 0, g.r, ...}.
+         *
+         * Given a matrix of this form and an input color [R_in, G_in, B_in],
+         * the input color must first be converted to linear space
+         * [R_linear, G_linear, B_linear], then the output linear color
+         * [R_out_linear, G_out_linear, B_out_linear] will be:
+         *
+         * R_out_linear = R_linear * r.r + G_linear * g.r + B_linear * b.r + Tr
+         * G_out_linear = R_linear * r.g + G_linear * g.g + B_linear * b.g + Tg
+         * B_out_linear = R_linear * r.b + G_linear * g.b + B_linear * b.b + Tb
+         *
+         * [R_out_linear, G_out_linear, B_out_linear] must then be converted to
+         * gamma space: [R_out, G_out, B_out] before blending.
+         *
+         * @param matrix is a 4x4 transform matrix (16 floats) as described above.
+         */
+        SET_LAYER_COLOR_TRANSFORM = 0x40d << @2.1::IComposerClient.Command:OPCODE_SHIFT,
+    };
+
     /**
      * Returns the port and data that describe a physical display. The port is
      * a unique number that identifies a physical connector (e.g. eDP, HDMI)
@@ -42,4 +88,29 @@
                           uint8_t port,
                           vec<uint8_t> data);
 
+    /**
+     * Executes commands from the input command message queue. Return values
+     * generated by the input commands are written to the output command
+     * message queue in the form of value commands.
+     *
+     * @param inLength is the length of input commands.
+     * @param inHandles is an array of handles referenced by the input
+     *        commands.
+     * @return error is NONE upon success. Otherwise,
+     *         BAD_PARAMETER when inLength is not equal to the length of
+     *                       commands in the input command message queue.
+     *         NO_RESOURCES when the output command message queue was not
+     *                      properly drained.
+     * @param outQueueChanged indicates whether the output command message
+     *        queue has changed.
+     * @param outLength is the length of output commands.
+     * @param outHandles is an array of handles referenced by the output
+     *        commands.
+     */
+    executeCommands_2_3(uint32_t inLength,
+                        vec<handle> inHandles)
+             generates (Error error,
+                        bool outQueueChanged,
+                        uint32_t outLength,
+                        vec<handle> outHandles);
 };
diff --git a/graphics/composer/2.3/utils/command-buffer/Android.bp b/graphics/composer/2.3/utils/command-buffer/Android.bp
new file mode 100644
index 0000000..c48fe7a
--- /dev/null
+++ b/graphics/composer/2.3/utils/command-buffer/Android.bp
@@ -0,0 +1,15 @@
+cc_library_headers {
+    name: "android.hardware.graphics.composer@2.3-command-buffer",
+    defaults: ["hidl_defaults"],
+    vendor_available: true,
+    shared_libs: [
+        "android.hardware.graphics.composer@2.1",
+        "android.hardware.graphics.composer@2.2",
+        "android.hardware.graphics.composer@2.3",
+    ],
+    header_libs: [
+        "android.hardware.graphics.composer@2.1-command-buffer",
+        "android.hardware.graphics.composer@2.2-command-buffer",
+    ],
+    export_include_dirs: ["include"],
+}
diff --git a/graphics/composer/2.3/utils/command-buffer/include/composer-command-buffer/2.3/ComposerCommandBuffer.h b/graphics/composer/2.3/utils/command-buffer/include/composer-command-buffer/2.3/ComposerCommandBuffer.h
new file mode 100644
index 0000000..3f7b2c9
--- /dev/null
+++ b/graphics/composer/2.3/utils/command-buffer/include/composer-command-buffer/2.3/ComposerCommandBuffer.h
@@ -0,0 +1,76 @@
+/*
+ * Copyright 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#ifndef LOG_TAG
+#warn "ComposerCommandBuffer.h included without LOG_TAG"
+#endif
+
+#undef LOG_NDEBUG
+#define LOG_NDEBUG 0
+
+#include <android/hardware/graphics/composer/2.3/IComposer.h>
+#include <android/hardware/graphics/composer/2.3/IComposerClient.h>
+#include <composer-command-buffer/2.2/ComposerCommandBuffer.h>
+
+namespace android {
+namespace hardware {
+namespace graphics {
+namespace composer {
+namespace V2_3 {
+
+using android::hardware::MessageQueue;
+using android::hardware::graphics::composer::V2_1::Error;
+using android::hardware::graphics::composer::V2_1::IComposerCallback;
+using android::hardware::graphics::composer::V2_1::Layer;
+using android::hardware::graphics::composer::V2_3::IComposerClient;
+
+// This class helps build a command queue.  Note that all sizes/lengths are in
+// units of uint32_t's.
+class CommandWriterBase : public V2_2::CommandWriterBase {
+   public:
+    CommandWriterBase(uint32_t initialMaxSize) : V2_2::CommandWriterBase(initialMaxSize) {}
+
+    static constexpr uint16_t kSetLayerColorTransformLength = 16;
+    void setLayerColorTransform(const float* matrix) {
+        beginCommand_2_3(IComposerClient::Command::SET_LAYER_COLOR_TRANSFORM,
+                         kSetLayerColorTransformLength);
+        for (int i = 0; i < 16; i++) {
+            writeFloat(matrix[i]);
+        }
+        endCommand();
+    }
+
+   protected:
+    void beginCommand_2_3(IComposerClient::Command command, uint16_t length) {
+        V2_2::CommandWriterBase::beginCommand_2_2(
+            static_cast<V2_2::IComposerClient::Command>(static_cast<int32_t>(command)), length);
+    }
+};
+
+// This class helps parse a command queue.  Note that all sizes/lengths are in
+// units of uint32_t's.
+class CommandReaderBase : public V2_2::CommandReaderBase {
+   public:
+    CommandReaderBase() : V2_2::CommandReaderBase(){};
+};
+
+}  // namespace V2_3
+}  // namespace composer
+}  // namespace graphics
+}  // namespace hardware
+}  // namespace android
diff --git a/graphics/composer/2.3/utils/hal/Android.bp b/graphics/composer/2.3/utils/hal/Android.bp
index aa46df1..3ee9300 100644
--- a/graphics/composer/2.3/utils/hal/Android.bp
+++ b/graphics/composer/2.3/utils/hal/Android.bp
@@ -26,9 +26,11 @@
     ],
     header_libs: [
         "android.hardware.graphics.composer@2.2-hal",
+        "android.hardware.graphics.composer@2.3-command-buffer",
     ],
     export_header_lib_headers: [
         "android.hardware.graphics.composer@2.2-hal",
+        "android.hardware.graphics.composer@2.3-command-buffer",
     ],
     export_include_dirs: ["include"],
 }
diff --git a/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerClient.h b/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerClient.h
index e717d84..c805472 100644
--- a/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerClient.h
+++ b/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerClient.h
@@ -22,6 +22,7 @@
 
 #include <android/hardware/graphics/composer/2.3/IComposerClient.h>
 #include <composer-hal/2.3/ComposerClient.h>
+#include <composer-hal/2.3/ComposerCommandEngine.h>
 #include <composer-hal/2.3/ComposerHal.h>
 
 namespace android {
@@ -55,10 +56,27 @@
         return Void();
     }
 
+    Return<void> executeCommands_2_3(uint32_t inLength, const hidl_vec<hidl_handle>& inHandles,
+                                     IComposerClient::executeCommands_2_2_cb hidl_cb) override {
+        std::lock_guard<std::mutex> lock(mCommandEngineMutex);
+        bool outChanged = false;
+        uint32_t outLength = 0;
+        hidl_vec<hidl_handle> outHandles;
+        Error error =
+            mCommandEngine->execute(inLength, inHandles, &outChanged, &outLength, &outHandles);
+
+        hidl_cb(error, outChanged, outLength, outHandles);
+
+        mCommandEngine->reset();
+
+        return Void();
+    }
+
    private:
     using BaseType2_2 = V2_2::hal::detail::ComposerClientImpl<Interface, Hal>;
     using BaseType2_1 = V2_1::hal::detail::ComposerClientImpl<Interface, Hal>;
-
+    using BaseType2_1::mCommandEngine;
+    using BaseType2_1::mCommandEngineMutex;
     using BaseType2_1::mHal;
 };
 
diff --git a/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerCommandEngine.h b/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerCommandEngine.h
new file mode 100644
index 0000000..c3dcbcd
--- /dev/null
+++ b/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerCommandEngine.h
@@ -0,0 +1,81 @@
+/*
+ * Copyright 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#ifndef LOG_TAG
+#warning "ComposerCommandEngine.h included without LOG_TAG"
+#endif
+
+#include <composer-command-buffer/2.3/ComposerCommandBuffer.h>
+#include <composer-hal/2.1/ComposerCommandEngine.h>
+#include <composer-hal/2.2/ComposerCommandEngine.h>
+#include <composer-hal/2.2/ComposerResources.h>
+#include <composer-hal/2.3/ComposerHal.h>
+
+namespace android {
+namespace hardware {
+namespace graphics {
+namespace composer {
+namespace V2_3 {
+namespace hal {
+
+class ComposerCommandEngine : public V2_2::hal::ComposerCommandEngine {
+   public:
+    ComposerCommandEngine(ComposerHal* hal, V2_2::hal::ComposerResources* resources)
+        : BaseType2_2(hal, resources), mHal(hal) {}
+
+   protected:
+    bool executeCommand(V2_1::IComposerClient::Command command, uint16_t length) override {
+        switch (static_cast<IComposerClient::Command>(command)) {
+            case IComposerClient::Command::SET_LAYER_COLOR_TRANSFORM:
+                return executeSetLayerColorTransform(length);
+            default:
+                return BaseType2_2::executeCommand(command, length);
+        }
+    }
+
+    bool executeSetLayerColorTransform(uint16_t length) {
+        if (length != CommandWriterBase::kSetLayerColorTransformLength) {
+            return false;
+        }
+
+        float matrix[16];
+        for (int i = 0; i < 16; i++) {
+            matrix[i] = readFloat();
+        }
+        auto err = mHal->setLayerColorTransform(mCurrentDisplay, mCurrentLayer, matrix);
+        if (err != Error::NONE) {
+            mWriter.setError(getCommandLoc(), err);
+        }
+
+        return true;
+    }
+
+   private:
+    using BaseType2_1 = V2_1::hal::ComposerCommandEngine;
+    using BaseType2_1::mWriter;
+    using BaseType2_2 = V2_2::hal::ComposerCommandEngine;
+
+    ComposerHal* mHal;
+};
+
+}  // namespace hal
+}  // namespace V2_3
+}  // namespace composer
+}  // namespace graphics
+}  // namespace hardware
+}  // namespace android
diff --git a/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerHal.h b/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerHal.h
index 37ea0a3..0f6205a 100644
--- a/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerHal.h
+++ b/graphics/composer/2.3/utils/hal/include/composer-hal/2.3/ComposerHal.h
@@ -27,11 +27,13 @@
 
 using V2_1::Display;
 using V2_1::Error;
+using V2_1::Layer;
 
 class ComposerHal : public V2_2::hal::ComposerHal {
    public:
     virtual Error getDisplayIdentificationData(Display display, uint8_t* outPort,
                                                std::vector<uint8_t>* outData) = 0;
+    virtual Error setLayerColorTransform(Display display, Layer layer, const float* matrix) = 0;
 };
 
 }  // namespace hal
diff --git a/graphics/composer/2.3/utils/passthrough/include/composer-passthrough/2.3/HwcHal.h b/graphics/composer/2.3/utils/passthrough/include/composer-passthrough/2.3/HwcHal.h
index 53f2d1b..ed1878b 100644
--- a/graphics/composer/2.3/utils/passthrough/include/composer-passthrough/2.3/HwcHal.h
+++ b/graphics/composer/2.3/utils/passthrough/include/composer-passthrough/2.3/HwcHal.h
@@ -66,6 +66,14 @@
         return Error::NONE;
     }
 
+    Error setLayerColorTransform(Display display, Layer layer, const float* matrix) override {
+        if (!mDispatch.setLayerColorTransform) {
+            return Error::UNSUPPORTED;
+        }
+        int32_t err = mDispatch.setLayerColorTransform(mDevice, display, layer, matrix);
+        return static_cast<Error>(err);
+    }
+
    protected:
     bool initDispatch() override {
         if (!BaseType2_2::initDispatch()) {
@@ -74,12 +82,15 @@
 
         this->initOptionalDispatch(HWC2_FUNCTION_GET_DISPLAY_IDENTIFICATION_DATA,
                                    &mDispatch.getDisplayIdentificationData);
+        this->initOptionalDispatch(HWC2_FUNCTION_SET_LAYER_COLOR_TRANSFORM,
+                                   &mDispatch.setLayerColorTransform);
         return true;
     }
 
    private:
     struct {
         HWC2_PFN_GET_DISPLAY_IDENTIFICATION_DATA getDisplayIdentificationData;
+        HWC2_PFN_SET_LAYER_COLOR_TRANSFORM setLayerColorTransform;
     } mDispatch = {};
 
     using BaseType2_2 = V2_2::passthrough::detail::HwcHalImpl<Hal>;
diff --git a/graphics/composer/2.3/utils/vts/Android.bp b/graphics/composer/2.3/utils/vts/Android.bp
index 0553258..19438cb 100644
--- a/graphics/composer/2.3/utils/vts/Android.bp
+++ b/graphics/composer/2.3/utils/vts/Android.bp
@@ -31,6 +31,7 @@
     header_libs: [
         "android.hardware.graphics.composer@2.1-command-buffer",
         "android.hardware.graphics.composer@2.2-command-buffer",
+        "android.hardware.graphics.composer@2.3-command-buffer",
     ],
     cflags: [
         "-O0",
diff --git a/graphics/composer/2.3/vts/functional/Android.bp b/graphics/composer/2.3/vts/functional/Android.bp
index df696c9..7548cb5 100644
--- a/graphics/composer/2.3/vts/functional/Android.bp
+++ b/graphics/composer/2.3/vts/functional/Android.bp
@@ -40,5 +40,6 @@
     header_libs: [
         "android.hardware.graphics.composer@2.1-command-buffer",
         "android.hardware.graphics.composer@2.2-command-buffer",
+        "android.hardware.graphics.composer@2.3-command-buffer",
     ],
 }
diff --git a/graphics/composer/2.3/vts/functional/VtsHalGraphicsComposerV2_3TargetTest.cpp b/graphics/composer/2.3/vts/functional/VtsHalGraphicsComposerV2_3TargetTest.cpp
index f4e34f0..1030ddc 100644
--- a/graphics/composer/2.3/vts/functional/VtsHalGraphicsComposerV2_3TargetTest.cpp
+++ b/graphics/composer/2.3/vts/functional/VtsHalGraphicsComposerV2_3TargetTest.cpp
@@ -20,7 +20,9 @@
 
 #include <VtsHalHidlTargetTestBase.h>
 #include <android-base/logging.h>
+#include <composer-command-buffer/2.3/ComposerCommandBuffer.h>
 #include <composer-vts/2.1/GraphicsComposerCallback.h>
+#include <composer-vts/2.1/TestCommandReader.h>
 #include <composer-vts/2.3/ComposerVts.h>
 
 namespace android {
@@ -65,6 +67,9 @@
         // explicitly disable vsync
         mComposerClient->setVsyncEnabled(mPrimaryDisplay, false);
         mComposerCallback->setVsyncAllowed(false);
+
+        mWriter = std::make_unique<CommandWriterBase>(1024);
+        mReader = std::make_unique<V2_1::vts::TestCommandReader>();
     }
 
     void TearDown() override {
@@ -75,11 +80,18 @@
         }
     }
 
+    void execute() { mComposerClient->execute(mReader.get(), mWriter.get()); }
+
+    // use the slot count usually set by SF
+    static constexpr uint32_t kBufferSlotCount = 64;
+
     std::unique_ptr<Composer> mComposer;
     std::unique_ptr<ComposerClient> mComposerClient;
     sp<V2_1::vts::GraphicsComposerCallback> mComposerCallback;
     // the first display and is assumed never to be removed
     Display mPrimaryDisplay;
+    std::unique_ptr<CommandWriterBase> mWriter;
+    std::unique_ptr<V2_1::vts::TestCommandReader> mReader;
 
    private:
     Display waitForFirstDisplay() {
@@ -115,6 +127,31 @@
     }
 }
 
+/**
+ * Test IComposerClient::Command::SET_LAYER_COLOR_TRANSFORM.
+ * TODO Add color to the layer, use matrix to keep only red component,
+ * and check.
+ */
+TEST_F(GraphicsComposerHidlTest, SetLayerColorTransform) {
+    Layer layer;
+    ASSERT_NO_FATAL_FAILURE(layer =
+                                mComposerClient->createLayer(mPrimaryDisplay, kBufferSlotCount));
+    mWriter->selectDisplay(mPrimaryDisplay);
+    mWriter->selectLayer(layer);
+
+    // clang-format off
+    const std::array<float, 16> matrix = {{
+        1.0f, 0.0f, 0.0f, 0.0f,
+        0.0f, 1.0f, 0.0f, 0.0f,
+        0.0f, 0.0f, 1.0f, 0.0f,
+        0.0f, 0.0f, 0.0f, 1.0f,
+    }};
+    // clang-format on
+
+    mWriter->setLayerColorTransform(matrix.data());
+    execute();
+}
+
 }  // namespace
 }  // namespace vts
 }  // namespace V2_3
diff --git a/health/filesystem/1.0/Android.bp b/health/storage/1.0/Android.bp
similarity index 81%
rename from health/filesystem/1.0/Android.bp
rename to health/storage/1.0/Android.bp
index cb7cf0e..35ee34f 100644
--- a/health/filesystem/1.0/Android.bp
+++ b/health/storage/1.0/Android.bp
@@ -1,15 +1,15 @@
 // This file is autogenerated by hidl-gen -Landroidbp.
 
 hidl_interface {
-    name: "android.hardware.health.filesystem@1.0",
+    name: "android.hardware.health.storage@1.0",
     root: "android.hardware",
     vndk: {
         enabled: true,
     },
     srcs: [
         "types.hal",
-        "IFileSystem.hal",
         "IGarbageCollectCallback.hal",
+        "IStorage.hal",
     ],
     interfaces: [
         "android.hidl.base@1.0",
diff --git a/health/filesystem/1.0/IGarbageCollectCallback.hal b/health/storage/1.0/IGarbageCollectCallback.hal
similarity index 90%
rename from health/filesystem/1.0/IGarbageCollectCallback.hal
rename to health/storage/1.0/IGarbageCollectCallback.hal
index 901c35c..2c24ead 100644
--- a/health/filesystem/1.0/IGarbageCollectCallback.hal
+++ b/health/storage/1.0/IGarbageCollectCallback.hal
@@ -13,10 +13,10 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package android.hardware.health.filesystem@1.0;
+package android.hardware.health.storage@1.0;
 
 /**
- * Callback interface to IFileSystem.garbageCollect.
+ * Callback interface to IStorage.garbageCollect.
  */
 interface IGarbageCollectCallback {
     /**
diff --git a/health/filesystem/1.0/IFileSystem.hal b/health/storage/1.0/IStorage.hal
similarity index 91%
rename from health/filesystem/1.0/IFileSystem.hal
rename to health/storage/1.0/IStorage.hal
index a5e6487..980cf45 100644
--- a/health/filesystem/1.0/IFileSystem.hal
+++ b/health/storage/1.0/IStorage.hal
@@ -14,15 +14,15 @@
  * limitations under the License.
  */
 
-package android.hardware.health.filesystem@1.0;
+package android.hardware.health.storage@1.0;
 
 import IGarbageCollectCallback;
 
 /**
- * IFileSystem is an interface that provides operations on underlying storage
+ * IStorage is an interface that provides operations on underlying storage
  * devices, including flash memory.
  */
-interface IFileSystem {
+interface IStorage {
     /**
      * Start garbage collection on the driver of storage devices.
      *
diff --git a/health/storage/1.0/default/Android.bp b/health/storage/1.0/default/Android.bp
new file mode 100644
index 0000000..4723443
--- /dev/null
+++ b/health/storage/1.0/default/Android.bp
@@ -0,0 +1,48 @@
+/*
+ * 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.
+ */
+
+cc_binary {
+    name: "android.hardware.health.storage@1.0-service",
+    vendor: true,
+    defaults: ["hidl_defaults"],
+    relative_install_path: "hw",
+    init_rc: ["android.hardware.health.storage@1.0-service.rc"],
+    srcs: [
+        "Storage.cpp",
+        "service.cpp",
+    ],
+
+    cflags: [
+        "-Wall",
+        "-Werror",
+    ],
+
+    shared_libs: [
+        "libbase",
+        "libhidlbase",
+        "libhidltransport",
+        "libutils",
+        "android.hardware.health.storage@1.0",
+    ],
+
+    static_libs: [
+        "libfstab",
+    ],
+
+    vintf_fragments: [
+        "manifest_android.hardware.health.storage@1.0.xml",
+    ],
+}
diff --git a/health/storage/1.0/default/Storage.cpp b/health/storage/1.0/default/Storage.cpp
new file mode 100644
index 0000000..2e53c50
--- /dev/null
+++ b/health/storage/1.0/default/Storage.cpp
@@ -0,0 +1,151 @@
+/*
+ * 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 "Storage.h"
+
+#include <sstream>
+
+#include <android-base/chrono_utils.h>
+#include <android-base/file.h>
+#include <android-base/logging.h>
+#include <android-base/strings.h>
+#include <fstab/fstab.h>
+
+namespace android {
+namespace hardware {
+namespace health {
+namespace storage {
+namespace V1_0 {
+namespace implementation {
+
+using base::ReadFileToString;
+using base::Timer;
+using base::Trim;
+using base::WriteStringToFd;
+using base::WriteStringToFile;
+
+std::string getGarbageCollectPath() {
+    std::unique_ptr<fstab, decltype(&fs_mgr_free_fstab)> fstab(fs_mgr_read_fstab_default(),
+                                                               fs_mgr_free_fstab);
+    struct fstab_rec* rec = NULL;
+
+    for (int i = 0; i < fstab->num_entries; i++) {
+        if (fs_mgr_has_sysfs_path(&fstab->recs[i])) {
+            rec = &fstab->recs[i];
+            break;
+        }
+    }
+    if (!rec) {
+        return "";
+    }
+
+    std::string path;
+    path.append(rec->sysfs_path);
+    path = path + "/manual_gc";
+
+    return path;
+}
+
+Return<void> Storage::garbageCollect(uint64_t timeoutSeconds,
+                                     const sp<IGarbageCollectCallback>& cb) {
+    Result result = Result::SUCCESS;
+    std::string path = getGarbageCollectPath();
+
+    if (path.empty()) {
+        LOG(WARNING) << "Cannot find Dev GC path";
+        result = Result::UNKNOWN_ERROR;
+    } else {
+        Timer timer;
+        LOG(INFO) << "Start Dev GC on " << path;
+        while (1) {
+            std::string require;
+            if (!ReadFileToString(path, &require)) {
+                PLOG(WARNING) << "Reading manual_gc failed in " << path;
+                result = Result::IO_ERROR;
+                break;
+            }
+            require = Trim(require);
+            if (require == "" || require == "off" || require == "disabled") {
+                LOG(DEBUG) << "No more to do Dev GC";
+                break;
+            }
+            LOG(DEBUG) << "Trigger Dev GC on " << path;
+            if (!WriteStringToFile("1", path)) {
+                PLOG(WARNING) << "Start Dev GC failed on " << path;
+                result = Result::IO_ERROR;
+                break;
+            }
+            if (timer.duration() >= std::chrono::seconds(timeoutSeconds)) {
+                LOG(WARNING) << "Dev GC timeout";
+                // Timeout is not treated as an error. Try next time.
+                break;
+            }
+            sleep(2);
+        }
+        LOG(INFO) << "Stop Dev GC on " << path;
+        if (!WriteStringToFile("0", path)) {
+            PLOG(WARNING) << "Stop Dev GC failed on " << path;
+            result = Result::IO_ERROR;
+        }
+    }
+
+    if (cb != nullptr) {
+        auto ret = cb->onFinish(result);
+        if (!ret.isOk()) {
+            LOG(WARNING) << "Cannot return result to callback: " << ret.description();
+        }
+    }
+    return Void();
+}
+
+Return<void> Storage::debug(const hidl_handle& handle, const hidl_vec<hidl_string>&) {
+    if (handle == nullptr || handle->numFds < 1) {
+        return Void();
+    }
+
+    int fd = handle->data[0];
+    std::stringstream output;
+
+    std::string path = getGarbageCollectPath();
+    if (path.empty()) {
+        output << "Cannot find Dev GC path";
+    } else {
+        std::string require;
+
+        if (ReadFileToString(path, &require)) {
+            output << path << ":" << require << std::endl;
+        }
+
+        if (WriteStringToFile("0", path)) {
+            output << "stop success" << std::endl;
+        }
+    }
+
+    if (!WriteStringToFd(output.str(), fd)) {
+        PLOG(WARNING) << "debug: cannot write to fd";
+    }
+
+    fsync(fd);
+
+    return Void();
+}
+
+}  // namespace implementation
+}  // namespace V1_0
+}  // namespace storage
+}  // namespace health
+}  // namespace hardware
+}  // namespace android
diff --git a/health/storage/1.0/default/Storage.h b/health/storage/1.0/default/Storage.h
new file mode 100644
index 0000000..8c57ddb
--- /dev/null
+++ b/health/storage/1.0/default/Storage.h
@@ -0,0 +1,49 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_HEALTH_FILESYSTEM_V1_0_FILESYSTEM_H
+#define ANDROID_HARDWARE_HEALTH_FILESYSTEM_V1_0_FILESYSTEM_H
+
+#include <android/hardware/health/storage/1.0/IStorage.h>
+#include <hidl/Status.h>
+
+namespace android {
+namespace hardware {
+namespace health {
+namespace storage {
+namespace V1_0 {
+namespace implementation {
+
+using ::android::sp;
+using ::android::hardware::hidl_handle;
+using ::android::hardware::hidl_string;
+using ::android::hardware::hidl_vec;
+using ::android::hardware::Return;
+
+struct Storage : public IStorage {
+    Return<void> garbageCollect(uint64_t timeoutSeconds,
+                                const sp<IGarbageCollectCallback>& cb) override;
+    Return<void> debug(const hidl_handle& handle, const hidl_vec<hidl_string>&) override;
+};
+
+}  // namespace implementation
+}  // namespace V1_0
+}  // namespace storage
+}  // namespace health
+}  // namespace hardware
+}  // namespace android
+
+#endif  // ANDROID_HARDWARE_HEALTH_FILESYSTEM_V1_0_FILESYSTEM_H
diff --git a/health/storage/1.0/default/android.hardware.health.storage@1.0-service.rc b/health/storage/1.0/default/android.hardware.health.storage@1.0-service.rc
new file mode 100644
index 0000000..c6a1425
--- /dev/null
+++ b/health/storage/1.0/default/android.hardware.health.storage@1.0-service.rc
@@ -0,0 +1,5 @@
+service vendor.health-storage-hal-1-0 /vendor/bin/hw/android.hardware.health.storage@1.0-service
+    interface android.hardware.health.storage@1.0::IStorage default
+    class hal
+    user system
+    group system
diff --git a/health/storage/1.0/default/manifest_android.hardware.health.storage@1.0.xml b/health/storage/1.0/default/manifest_android.hardware.health.storage@1.0.xml
new file mode 100644
index 0000000..ffe854e
--- /dev/null
+++ b/health/storage/1.0/default/manifest_android.hardware.health.storage@1.0.xml
@@ -0,0 +1,11 @@
+<manifest version="1.0" type="device">
+    <hal>
+        <name>android.hardware.health.storage</name>
+        <transport>hwbinder</transport>
+        <version>1.0</version>
+        <interface>
+            <name>IStorage</name>
+            <instance>default</instance>
+        </interface>
+    </hal>
+</manifest>
diff --git a/health/storage/1.0/default/service.cpp b/health/storage/1.0/default/service.cpp
new file mode 100644
index 0000000..a945033
--- /dev/null
+++ b/health/storage/1.0/default/service.cpp
@@ -0,0 +1,41 @@
+/*
+ * 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.
+ */
+
+#include <hidl/HidlTransportSupport.h>
+#include "Storage.h"
+
+using android::OK;
+using android::sp;
+using android::status_t;
+using android::UNKNOWN_ERROR;
+using android::hardware::configureRpcThreadpool;
+using android::hardware::joinRpcThreadpool;
+using android::hardware::health::storage::V1_0::IStorage;
+using android::hardware::health::storage::V1_0::implementation::Storage;
+
+int main() {
+    configureRpcThreadpool(1, true);
+
+    sp<IStorage> service = new Storage();
+    status_t result = service->registerAsService();
+
+    if (result != OK) {
+        return result;
+    }
+
+    joinRpcThreadpool();
+    return UNKNOWN_ERROR;
+}
diff --git a/health/filesystem/1.0/types.hal b/health/storage/1.0/types.hal
similarity index 94%
rename from health/filesystem/1.0/types.hal
rename to health/storage/1.0/types.hal
index 0d2db2c..2da0871 100644
--- a/health/filesystem/1.0/types.hal
+++ b/health/storage/1.0/types.hal
@@ -14,7 +14,7 @@
  * limitations under the License.
  */
 
-package android.hardware.health.filesystem@1.0;
+package android.hardware.health.storage@1.0;
 
 /**
  * Status values for HAL methods.
diff --git a/health/storage/1.0/vts/functional/Android.bp b/health/storage/1.0/vts/functional/Android.bp
new file mode 100644
index 0000000..63591cf
--- /dev/null
+++ b/health/storage/1.0/vts/functional/Android.bp
@@ -0,0 +1,26 @@
+//
+// 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.
+//
+
+cc_test {
+    name: "VtsHalHealthStorageV1_0TargetTest",
+    defaults: ["VtsHalTargetTestDefaults"],
+    srcs: ["VtsHalHealthStorageV1_0TargetTest.cpp"],
+    static_libs: ["android.hardware.health.storage@1.0"],
+    shared_libs: [
+        "libhidltransport"
+    ],
+}
+
diff --git a/health/storage/1.0/vts/functional/VtsHalHealthStorageV1_0TargetTest.cpp b/health/storage/1.0/vts/functional/VtsHalHealthStorageV1_0TargetTest.cpp
new file mode 100644
index 0000000..5ad561c
--- /dev/null
+++ b/health/storage/1.0/vts/functional/VtsHalHealthStorageV1_0TargetTest.cpp
@@ -0,0 +1,193 @@
+/*
+ * 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 <VtsHalHidlTargetTestBase.h>
+#include <VtsHalHidlTargetTestEnvBase.h>
+#include <android-base/logging.h>
+#include <android/hardware/health/storage/1.0/IStorage.h>
+#include <hidl/HidlTransportSupport.h>
+#include <unistd.h>
+#include <thread>
+
+namespace android {
+namespace hardware {
+namespace health {
+namespace storage {
+namespace V1_0 {
+
+using ::std::literals::chrono_literals::operator""ms;
+
+#define ASSERT_OK(ret) ASSERT_TRUE(ret.isOk()) << ret.description()
+
+// Dev GC timeout. This is the timeout used by vold.
+const uint64_t kDevGcTimeoutSec = 120;
+const std::chrono::seconds kDevGcTimeout{kDevGcTimeoutSec};
+// Time accounted for RPC calls.
+const std::chrono::milliseconds kRpcTime{100};
+
+template <typename R>
+std::string toString(std::chrono::duration<R, std::milli> time) {
+    return std::to_string(time.count()) + "ms";
+}
+
+/** An atomic boolean flag that indicates whether a task has finished. */
+class Flag {
+   public:
+    void onFinish() {
+        std::unique_lock<std::mutex> lock(mMutex);
+        onFinishLocked(&lock);
+    }
+    template <typename R, typename P>
+    bool wait(std::chrono::duration<R, P> duration) {
+        std::unique_lock<std::mutex> lock(mMutex);
+        return waitLocked(&lock, duration);
+    }
+
+   protected:
+    /** Will unlock. */
+    void onFinishLocked(std::unique_lock<std::mutex>* lock) {
+        mFinished = true;
+        lock->unlock();
+        mCv.notify_all();
+    }
+    template <typename R, typename P>
+    bool waitLocked(std::unique_lock<std::mutex>* lock, std::chrono::duration<R, P> duration) {
+        mCv.wait_for(*lock, duration, [this] { return mFinished; });
+        return mFinished;
+    }
+
+    bool mFinished{false};
+    std::mutex mMutex;
+    std::condition_variable mCv;
+};
+
+class GcCallback : public IGarbageCollectCallback, public Flag {
+   public:
+    Return<void> onFinish(Result result) override {
+        std::unique_lock<std::mutex> lock(mMutex);
+        mResult = result;
+        Flag::onFinishLocked(&lock);
+        return Void();
+    }
+
+    /**
+     * Wait for a specific "timeout". If GC has finished, test that the result
+     * is equal to the "expected" value.
+     */
+    template <typename R, typename P>
+    void waitForResult(std::chrono::duration<R, P> timeout, Result expected) {
+        std::unique_lock<std::mutex> lock(mMutex);
+        if (waitLocked(&lock, timeout)) {
+            EXPECT_EQ(expected, mResult);
+        } else {
+            LOG(INFO) << "timeout after " << toString(timeout);
+        }
+    }
+
+   private:
+    Result mResult{Result::UNKNOWN_ERROR};
+};
+
+/** Test environment for Health Storage HIDL HAL. */
+class HealthStorageHidlEnvironment : public ::testing::VtsHalHidlTargetTestEnvBase {
+   public:
+    /** get the test environment singleton */
+    static HealthStorageHidlEnvironment* Instance() {
+        static HealthStorageHidlEnvironment* instance = new HealthStorageHidlEnvironment();
+        return instance;
+    }
+    virtual void registerTestServices() override { registerTestService<IStorage>(); }
+
+   private:
+    HealthStorageHidlEnvironment() {}
+};
+
+class HealthStorageHidlTest : public ::testing::VtsHalHidlTargetTestBase {
+   public:
+    virtual void SetUp() override {
+        fs = ::testing::VtsHalHidlTargetTestBase::getService<IStorage>(
+            HealthStorageHidlEnvironment::Instance()->getServiceName<IStorage>());
+
+        ASSERT_NE(fs, nullptr);
+        LOG(INFO) << "Service is remote " << fs->isRemote();
+    }
+
+    virtual void TearDown() override {
+        EXPECT_TRUE(ping(kRpcTime))
+            << "Service is not responsive; expect subsequent tests to fail.";
+    }
+
+    /**
+     * Ping the service and expect it to return after "timeout". Return true
+     * iff the service is responsive within "timeout".
+     */
+    template <typename R, typename P>
+    bool ping(std::chrono::duration<R, P> timeout) {
+        // Ensure the service is responsive after the test.
+        sp<IStorage> service = fs;
+        auto pingFlag = std::make_shared<Flag>();
+        std::thread([service, pingFlag] {
+            service->ping();
+            pingFlag->onFinish();
+        })
+            .detach();
+        return pingFlag->wait(timeout);
+    }
+
+    sp<IStorage> fs;
+};
+
+/**
+ * Ensure garbage collection works on null callback.
+ */
+TEST_F(HealthStorageHidlTest, GcNullCallback) {
+    auto ret = fs->garbageCollect(kDevGcTimeoutSec, nullptr);
+
+    ASSERT_OK(ret);
+
+    // Hold test process because HAL can be single-threaded and doing GC.
+    ASSERT_TRUE(ping(kDevGcTimeout + kRpcTime))
+        << "Service must be available after " << toString(kDevGcTimeout + kRpcTime);
+}
+
+/**
+ * Ensure garbage collection works on non-null callback.
+ */
+TEST_F(HealthStorageHidlTest, GcNonNullCallback) {
+    sp<GcCallback> cb = new GcCallback();
+    auto ret = fs->garbageCollect(kDevGcTimeoutSec, cb);
+    ASSERT_OK(ret);
+    cb->waitForResult(kDevGcTimeout + kRpcTime, Result::SUCCESS);
+}
+
+}  // namespace V1_0
+}  // namespace storage
+}  // namespace health
+}  // namespace hardware
+}  // namespace android
+
+int main(int argc, char** argv) {
+    using ::android::hardware::configureRpcThreadpool;
+    using ::android::hardware::health::storage::V1_0::HealthStorageHidlEnvironment;
+
+    configureRpcThreadpool(1, false /* callerWillJoin*/);
+    ::testing::AddGlobalTestEnvironment(HealthStorageHidlEnvironment::Instance());
+    ::testing::InitGoogleTest(&argc, argv);
+    HealthStorageHidlEnvironment::Instance()->init(&argc, argv);
+    int status = RUN_ALL_TESTS();
+    LOG(INFO) << "Test result = " << status;
+    return status;
+}
diff --git a/keymaster/4.0/IKeymasterDevice.hal b/keymaster/4.0/IKeymasterDevice.hal
index 85a25c6..c867ab0 100644
--- a/keymaster/4.0/IKeymasterDevice.hal
+++ b/keymaster/4.0/IKeymasterDevice.hal
@@ -168,7 +168,7 @@
  * startup, preferably by the bootloader.  This bitstring must be cryptographically bound to every
  * key managed by the IKeymasterDevice.  As above, the recommended mechanism for this cryptographic
  * binding is to include the Root of Trust data in the input to the key derivation function used to
- * derive a key that is used to encryp the private/secret key material.
+ * derive a key that is used to encrypt the private/secret key material.
  *
  * The root of trust consists of a bitstring that must be derived from the public key used by
  * Verified Boot to verify the signature on the boot image and from the the lock state of the
@@ -386,7 +386,7 @@
      * Generates a new cryptographic key, specifying associated parameters, which must be
      * cryptographically bound to the key.  IKeymasterDevice implementations must disallow any use
      * of a key in any way inconsistent with the authorizations specified at generation time.  With
-     * respect to parameters that the secure environment cannot enforce, the secure envionment's
+     * respect to parameters that the secure environment cannot enforce, the secure environment's
      * obligation is limited to ensuring that the unenforceable parameters associated with the key
      * cannot be modified, so that every call to getKeyCharacteristics returns the original
      * values.  In addition, the characteristics returned by generateKey places parameters correctly
@@ -433,7 +433,7 @@
      *   supported for RSA keys.
      *
      * o Tag::DIGEST specifies digest algorithms that may be used with the new key.  TEE
-     *   IKeymasterDevice implementatiosn must support all Digest values (see types.hal) for RSA
+     *   IKeymasterDevice implementations must support all Digest values (see types.hal) for RSA
      *   keys.  StrongBox IKeymasterDevice implementations must support SHA_2_256.
      *
      * o Tag::PADDING specifies the padding modes that may be used with the new
@@ -495,13 +495,13 @@
      *
      * @param keyFormat The format of the key material to import.  See KeyFormat in types.hal.
      *
-     * @pram keyData The key material to import, in the format specifed in keyFormat.
+     * @pram keyData The key material to import, in the format specified in keyFormat.
      *
      * @return keyBlob Opaque descriptor of the imported key.  The recommended implementation
      *         strategy is to include an encrypted copy of the key material, wrapped in a key
      *         unavailable outside secure hardware.
      *
-     * @return keyCharacteristics Decription of the generated key.  See the getKeyCharacteristics
+     * @return keyCharacteristics Description of the generated key.  See the getKeyCharacteristics
      *         method below.
      */
     importKey(vec<KeyParameter> keyParams, KeyFormat keyFormat, vec<uint8_t> keyData)
@@ -615,7 +615,7 @@
      *        value, it must be computationally infeasible for the secure hardware to obtain the key
      *        material.
      *
-     * @return keyCharacteristics Decription of the generated key.  See KeyCharacteristics in
+     * @return keyCharacteristics Description of the generated key.  See KeyCharacteristics in
      *         types.hal.
      */
     getKeyCharacteristics(vec<uint8_t> keyBlob, vec<uint8_t> clientId, vec<uint8_t> appData)
@@ -815,7 +815,7 @@
      * any one of them is higher than the corresponding current device value upgradeKey() must
      * return ErrorCode::INVALID_ARGUMENT.  There is one exception: it is always permissible to
      * "downgrade" from any OS_VERSION number to OS_VERSION 0.  For example, if the key has
-     * OS_VERSION 080001, it is permisible to upgrade the key if the current system version is
+     * OS_VERSION 080001, it is permissible to upgrade the key if the current system version is
      * 080100, because the new version is larger, or if the current system version is 0, because
      * upgrades to 0 are always allowed.  If the system version were 080000, however, keymaster must
      * return ErrorCode::INVALID_ARGUMENT because that value is smaller than 080001.  Values other
@@ -1040,7 +1040,7 @@
      * authorizations contain Tag::CALLER_NONCE, then the caller may provide an IV/nonce with
      * Tag::NONCE in inParams.  If a nonce is provided when Tag::CALLER_NONCE is not authorized,
      * begin() must return ErrorCode::CALLER_NONCE_PROHIBITED.  If a nonce is not provided when
-     * Tag::CALLER_NONCE is authorized, IKeymasterDevice msut generate a random IV/nonce.
+     * Tag::CALLER_NONCE is authorized, IKeymasterDevice must generate a random IV/nonce.
      *
      * -- HMAC keys --
      *
@@ -1082,7 +1082,7 @@
 
     /**
      * Provides data to, and possibly receives output from, an ongoing cryptographic operation begun
-     * with begin().  The operation is specified by the operationHandle paramater.
+     * with begin().  The operation is specified by the operationHandle parameter.
      *
      * If operationHandle is invalid, update() must return ErrorCode::INVALID_OPERATION_HANDLE.
      *
diff --git a/keymaster/4.0/support/authorization_set.cpp b/keymaster/4.0/support/authorization_set.cpp
index bf77420..afbcdac 100644
--- a/keymaster/4.0/support/authorization_set.cpp
+++ b/keymaster/4.0/support/authorization_set.cpp
@@ -523,8 +523,7 @@
     return *this;
 }
 
-AuthorizationSetBuilder& AuthorizationSetBuilder::Digest(
-    std::initializer_list<V4_0::Digest> digests) {
+AuthorizationSetBuilder& AuthorizationSetBuilder::Digest(std::vector<V4_0::Digest> digests) {
     for (auto digest : digests) {
         push_back(TAG_DIGEST, digest);
     }
diff --git a/keymaster/4.0/support/include/keymasterV4_0/authorization_set.h b/keymaster/4.0/support/include/keymasterV4_0/authorization_set.h
index 6c7fd35..1869682 100644
--- a/keymaster/4.0/support/include/keymasterV4_0/authorization_set.h
+++ b/keymaster/4.0/support/include/keymasterV4_0/authorization_set.h
@@ -278,7 +278,7 @@
     AuthorizationSetBuilder& GcmModeMacLen(uint32_t macLength);
 
     AuthorizationSetBuilder& BlockMode(std::initializer_list<BlockMode> blockModes);
-    AuthorizationSetBuilder& Digest(std::initializer_list<Digest> digests);
+    AuthorizationSetBuilder& Digest(std::vector<Digest> digests);
     AuthorizationSetBuilder& Padding(std::initializer_list<PaddingMode> paddings);
 
     template <typename... T>
diff --git a/keymaster/4.0/vts/functional/KeymasterHidlTest.cpp b/keymaster/4.0/vts/functional/KeymasterHidlTest.cpp
index 6ed61da..995ae4f 100644
--- a/keymaster/4.0/vts/functional/KeymasterHidlTest.cpp
+++ b/keymaster/4.0/vts/functional/KeymasterHidlTest.cpp
@@ -672,8 +672,7 @@
     return {EcCurve::P_224, EcCurve::P_384, EcCurve::P_521};
 }
 
-std::initializer_list<Digest> KeymasterHidlTest::ValidDigests(bool withNone, bool withMD5) {
-    std::vector<Digest> result;
+std::vector<Digest> KeymasterHidlTest::ValidDigests(bool withNone, bool withMD5) {
     switch (SecLevel()) {
         case SecurityLevel::TRUSTED_ENVIRONMENT:
             if (withNone) {
diff --git a/keymaster/4.0/vts/functional/KeymasterHidlTest.h b/keymaster/4.0/vts/functional/KeymasterHidlTest.h
index 94beb21..4cd6a5b 100644
--- a/keymaster/4.0/vts/functional/KeymasterHidlTest.h
+++ b/keymaster/4.0/vts/functional/KeymasterHidlTest.h
@@ -214,7 +214,7 @@
     std::vector<EcCurve> ValidCurves();
     std::vector<EcCurve> InvalidCurves();
 
-    std::initializer_list<Digest> ValidDigests(bool withNone, bool withMD5);
+    std::vector<Digest> ValidDigests(bool withNone, bool withMD5);
     std::vector<Digest> InvalidDigests();
 
     HidlBuf key_blob_;
diff --git a/neuralnetworks/1.0/types.hal b/neuralnetworks/1.0/types.hal
index 887fdf1..0880b2f 100644
--- a/neuralnetworks/1.0/types.hal
+++ b/neuralnetworks/1.0/types.hal
@@ -68,6 +68,7 @@
  * The type of an operation in a model.
  */
 enum OperationType : int32_t {
+
     /**
      * Adds two tensors, element-wise.
      *
@@ -105,6 +106,8 @@
      *
      * Outputs:
      * * 0: The sum, a tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 27.
      */
     ADD = 0,
 
@@ -116,8 +119,10 @@
      *
      * The values in the output tensor are computed as:
      *
-     *     output[batch, row, col, channel] =
-     *         sum_{i, j}(input[batch, row + i, col + j, channel]) / sum(1)
+     *     output[b, i, j, channel] =
+     *         sum_{di, dj}(
+     *             input[b, strides[1] * i + di, strides[2] * j + dj, channel]
+     *         ) / sum(1)
      *
      * Supported tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT32}
@@ -171,7 +176,9 @@
      *
      * Outputs:
      * * 0: The output 4-D tensor, of shape
-            [batches, out_height, out_width, depth].
+     *      [batches, out_height, out_width, depth].
+     *
+     * Available since API level 27.
      */
     AVERAGE_POOL_2D = 1,
 
@@ -198,6 +205,8 @@
      * Outputs:
      * * 0: The output, a tensor of the same {@link OperandType} as the input
      *      tensors. The output shape is [D0, D1, ..., sum(Daxis(i)), ..., Dm].
+     *
+     * Available since API level 27.
      */
     CONCATENATION = 2,
 
@@ -213,12 +222,11 @@
      *
      * The values in the output tensor are computed as:
      *
-     *     output[batch, row, col, channel] =
-     *         sum_{i, j} (
-     *             input[batch, row + i, col + j, k] *
-     *             filter[channel, row + i, col + j, k] +
-     *             bias[channel]
-     *         )
+     *     output[b, i, j, channel] =
+     *         sum_{di, dj, k} (
+     *             input[b, strides[1] * i + di, strides[2] * j + dj, k] *
+     *             filter[channel, di, dj, k]
+     *         ) + bias[channel]
      *
      * Supported tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT32}
@@ -274,7 +282,7 @@
      * * 4: An {@link OperandType::INT32} scalar, specifying the stride when
      *      walking through input in the ‘width’ dimension.
      * * 5: An {@link OperandType::INT32} scalar, specifying the stride when
-    *       walking through input in the ‘height’ dimension.
+     *      walking through input in the ‘height’ dimension.
      * * 6: An {@link OperandType::INT32} scalar, and has to be one of the
      *      {@link FusedActivationFunc} values. Specifies the activation to
      *      invoke on the result.
@@ -284,6 +292,8 @@
      *      [batches, out_height, out_width, depth_out]. For output tensor of
      *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the following condition
      *      must be satisfied: output_scale > input_scale * filter_scale.
+     *
+     * Available since API level 27.
      */
     CONV_2D = 3,
 
@@ -307,7 +317,7 @@
      *         sum_{di, dj} (
      *             input[b, strides[1] * i + di, strides[2] * j + dj, k] *
      *             filter[1, di, dj, k * channel_multiplier + q]
-     *         )
+     *         ) + bias[k * channel_multiplier + q]
      *
      * Supported tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT32}
@@ -375,6 +385,8 @@
      *      [batches, out_height, out_width, depth_out]. For output tensor of
      *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the following condition
      *      must be satisfied: output_scale > input_scale * filter_scale.
+     *
+     * Available since API level 27.
      */
     DEPTHWISE_CONV_2D = 4,
 
@@ -409,6 +421,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape [batch, height*block_size,
      *      width*block_size, depth/(block_size*block_size)].
+     *
+     * Available since API level 27.
      */
     DEPTH_TO_SPACE = 5,
 
@@ -430,6 +444,8 @@
      * Outputs:
      * * 0: The output tensor of same shape as input0, but with
      *      {@link OperandType::TENSOR_FLOAT32}.
+     *
+     * Available since API level 27.
      */
     DEQUANTIZE = 6,
 
@@ -463,6 +479,8 @@
      * * 0: A n-D tensor with the same rank and shape as the Values
      *      tensor, except for the first dimension which has the same size
      *      as Lookups' only dimension.
+     *
+     * Available since API level 27.
      */
     EMBEDDING_LOOKUP = 7,
 
@@ -480,6 +498,8 @@
      * Outputs:
      * * 0: The output tensor, of the same {@link OperandType} and dimensions as
      *      the input tensor.
+     *
+     * Available since API level 27.
      */
     FLOOR = 8,
 
@@ -523,6 +543,8 @@
      *      tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}, the following
      *      condition must be satisfied:
      *      output_scale > input_scale * filter_scale.
+     *
+     * Available since API level 27.
      */
     FULLY_CONNECTED = 9,
 
@@ -571,6 +593,8 @@
      *      Stored as {@link OperandType::TENSOR_QUANT8_ASYMM} with offset 0
      *      and scale 1.0f.
      *      A non-zero byte represents True, a hit. A zero indicates otherwise.
+     *
+     * Available since API level 27.
      */
     HASHTABLE_LOOKUP = 10,
 
@@ -598,6 +622,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of the same shape as input
      *      [batches, height, width, depth].
+     *
+     * Available since API level 27.
      */
     L2_NORMALIZATION = 11,
 
@@ -609,8 +635,8 @@
      *
      * The values in the output tensor are computed as:
      *
-     *     output[batch, row, col, channel] =
-     *         sqrt(sum_{i, j} pow(input[batch, row + i, col + j, channel], 2) /
+     *     output[b, i, j, c] =
+     *         sqrt(sum_{di, dj} pow(input[b, strides[1] * i + di, strides[2] * j + dj, c], 2) /
      *              sum(1))
      *
      * Supported tensor {@link OperandType}:
@@ -664,6 +690,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape
      *      [batches, out_height, out_width, depth].
+     *
+     * Available since API level 27.
      */
     L2_POOL_2D = 12,
 
@@ -700,6 +728,8 @@
      *
      * Outputs:
      * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
      */
     LOCAL_RESPONSE_NORMALIZATION = 13,
 
@@ -723,6 +753,8 @@
      * * 0: The output tensor of same shape as input0.
      *      For {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the scale must be 1.f / 256 and the zeroPoint must be 0.
+     *
+     * Available since API level 27.
      */
     LOGISTIC = 14,
 
@@ -758,6 +790,8 @@
      *      If the projection type is Dense:
      *        Output.Dim == { Tensor[0].Dim[0] * Tensor[0].Dim[1] }
      *        A flattened tensor that represents projected bit vectors.
+     *
+     * Available since API level 27.
      */
     LSH_PROJECTION = 15,
 
@@ -952,6 +986,8 @@
      *      A 2-D tensor of {@link OperandType::TENSOR_FLOAT32}, of shape
      *      [batch_size, output_size]. This is effectively the same as the
      *      current “output state (out)” value.
+     *
+     * Available since API level 27.
      */
     LSTM = 16,
 
@@ -963,8 +999,10 @@
      *
      * The values in the output tensor are computed as:
      *
-     *     output[batch, row, col, channel] =
-     *         max_{i, j} (input[batch, row + i, col + j, channel])
+     *     output[b, i, j, channel] =
+     *         max_{di, dj} (
+     *             input[b, strides[1] * i + di, strides[2] * j + dj, channel]
+     *         )
      *
      * Supported tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT32}
@@ -1018,6 +1056,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape
      *      [batches, out_height, out_width, depth].
+     *
+     * Available since API level 27.
      */
     MAX_POOL_2D = 17,
 
@@ -1055,6 +1095,8 @@
      *      For output tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the following condition must be satisfied:
      *      output_scale > input1_scale * input2_scale.
+     *
+     * Available since API level 27.
      */
     MUL = 18,
 
@@ -1076,6 +1118,8 @@
      *
      * Outputs:
      * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
      */
     RELU = 19,
 
@@ -1097,6 +1141,8 @@
      *
      * Outputs:
      * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
      */
     RELU1 = 20,
 
@@ -1118,6 +1164,8 @@
      *
      * Outputs:
      * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
      */
     RELU6 = 21,
 
@@ -1141,6 +1189,8 @@
      *
      * Outputs:
      * * 0: The output tensor, of shape specified by the input shape.
+     *
+     * Available since API level 27.
      */
     RESHAPE = 22,
 
@@ -1167,6 +1217,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape
      *      [batches, new_height, new_width, depth].
+     *
+     * Available since API level 27.
      */
     RESIZE_BILINEAR = 23,
 
@@ -1222,6 +1274,8 @@
      *      A 2-D tensor of {@link OperandType::TENSOR_FLOAT32}, of shape
      *      [batch_size, num_units]. This is effectively the same as the
      *      current state value.
+     *
+     * Available since API level 27.
      */
     RNN = 24,
 
@@ -1251,6 +1305,8 @@
      * * 0: The output tensor of same shape as input0.
      *      For {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the scale must be 1.f / 256 and the zeroPoint must be 0.
+     *
+     * Available since API level 27.
      */
     SOFTMAX = 25,
 
@@ -1284,6 +1340,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape [batches, height/block_size,
      *      width/block_size, depth_in*block_size*block_size].
+     *
+     * Available since API level 27.
      */
     SPACE_TO_DEPTH = 26,
 
@@ -1361,7 +1419,9 @@
      *      [batch_size, (memory_size - 1) * num_units * rank].
      * * 1: output.
      *      A 2-D tensor of {@link OperandType::TENSOR_FLOAT32}, of shape
-         *      [batch_size, num_units].
+     *      [batch_size, num_units].
+     *
+     * Available since API level 27.
      */
     SVDF = 27,
 
@@ -1382,6 +1442,8 @@
      *
      * Outputs:
      * * 0: The output tensor of same shape as input0.
+     *
+     * Available since API level 27.
      */
     TANH = 28,
 
diff --git a/neuralnetworks/1.0/vts/functional/Android.bp b/neuralnetworks/1.0/vts/functional/Android.bp
index e28113b..18f35c1 100644
--- a/neuralnetworks/1.0/vts/functional/Android.bp
+++ b/neuralnetworks/1.0/vts/functional/Android.bp
@@ -25,6 +25,7 @@
     static_libs: [
         "android.hardware.neuralnetworks@1.0",
         "android.hardware.neuralnetworks@1.1",
+        "android.hardware.neuralnetworks@1.2",
         "android.hidl.allocator@1.0",
         "android.hidl.memory@1.0",
         "libhidlmemory",
@@ -49,8 +50,9 @@
     ],
     defaults: ["VtsHalTargetTestDefaults"],
     static_libs: [
-        "android.hardware.neuralnetworks@1.1",
         "android.hardware.neuralnetworks@1.0",
+        "android.hardware.neuralnetworks@1.1",
+        "android.hardware.neuralnetworks@1.2",
         "android.hidl.allocator@1.0",
         "android.hidl.memory@1.0",
         "libhidlmemory",
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index 64495cf..b8046c7 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -275,6 +275,58 @@
     EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
 }
 
+// TODO: Reduce code duplication.
+void Execute(const sp<V1_2::IDevice>& device, std::function<V1_2::Model(void)> create_model,
+             std::function<bool(int)> is_ignored,
+             const std::vector<MixedTypedExampleType>& examples) {
+    V1_2::Model model = create_model();
+
+    // see if service can handle model
+    bool fullySupportsModel = false;
+    Return<void> supportedCall = device->getSupportedOperations_1_2(
+        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(supportedCall.isOk());
+
+    // launch prepare model
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_2(
+        model, ExecutionPreference::FAST_SINGLE_ANSWER, preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
+
+    // retrieve prepared model
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    sp<IPreparedModel> preparedModel = preparedModelCallback->getPreparedModel();
+
+    // early termination if vendor service cannot fully prepare model
+    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;
+    }
+    EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+    ASSERT_NE(nullptr, preparedModel.get());
+
+    // TODO: Adjust the error limit based on testing.
+    // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
+    float fpAtol = !model.relaxComputationFloat32toFloat16 ? 1e-5f : 5.0f * 0.0009765625f;
+    // Set the relative tolerance to be 5ULP of the corresponding FP precision.
+    float fpRtol = !model.relaxComputationFloat32toFloat16 ? 5.0f * 1.1920928955078125e-7f
+                                                           : 5.0f * 0.0009765625f;
+    EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
+}
+
 }  // namespace generated_tests
 
 }  // namespace neuralnetworks
diff --git a/neuralnetworks/1.1/types.hal b/neuralnetworks/1.1/types.hal
index 7b2a21a..c9de76b 100644
--- a/neuralnetworks/1.1/types.hal
+++ b/neuralnetworks/1.1/types.hal
@@ -26,6 +26,7 @@
  * The type of an operation in a model.
  */
 enum OperationType : @1.0::OperationType {
+
     /**
      * BatchToSpace for N-dimensional tensors.
      *
@@ -50,6 +51,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
      */
     BATCH_TO_SPACE_ND = 29,
 
@@ -88,6 +91,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
      */
     DIV = 30,
 
@@ -118,6 +123,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
      */
     MEAN = 31,
 
@@ -150,6 +157,8 @@
      *      of the padding:
      *          output0.dimension[i] =
      *              padding[i, 0] + input0.dimension[i] + padding[i, 1]
+     *
+     * Available since API level 28.
      */
     PAD = 32,
 
@@ -185,6 +194,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
      */
     SPACE_TO_BATCH_ND = 33,
 
@@ -214,6 +225,8 @@
      * * 0: A tensor of the same {@link OperandType} as input0. Contains the
      *      same data as input, but has one or more dimensions of size 1
      *      removed.
+     *
+     * Available since API level 28.
      */
     SQUEEZE = 34,
 
@@ -234,28 +247,32 @@
      *
      * Inputs:
      * * 0: An n-D tensor, specifying the tensor to be sliced.
-     * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}, the starts of
-     *      the dimensions of the input tensor to be sliced. The length must be
-     *      of rank(input0).
-     * * 2: A 1-D Tensor of {@link OperandType::TENSOR_INT32}, the ends of
-     *      the dimensions of the input tensor to be sliced. The length must be
-     *      of rank(input0).
-     * * 3: A 1-D Tensor of {@link OperandType::TENSOR_INT32}, the strides of
-     *      the dimensions of the input tensor to be sliced. The length must be
-     *      of rank(input0).
-     * * 4: An {@link OperandType::INT32} scalar, begin_mask. If the ith bit
+     * * 1: begin, a 1-D tensor of {@link OperandType::TENSOR_INT32}. The
+     *      starts of the dimensions of the input tensor to be sliced. The
+     *      length must be of rank(input0).
+     * * 2: end, a 1-D tensor of {@link OperandType::TENSOR_INT32}. The
+     *      ends of the dimensions of the input tensor to be sliced. The length
+     *      must be of rank(input0).
+     * * 3: strides, a 1-D tensor of {@link OperandType::TENSOR_INT32}. The
+     *      strides of the dimensions of the input tensor to be sliced. The
+     *      length must be of rank(input0). The entries must be non-zero.
+     * * 4: begin_mask, an {@link OperandType::INT32} scalar. If the ith bit
      *      of begin_mask is set, begin[i] is ignored and the fullest possible
      *      range in that dimension is used instead.
-     * * 5: An {@link OperandType::INT32} scalar, end_mask. If the ith bit of
+     * * 5: end_mask, an {@link OperandType::INT32} scalar. If the ith bit of
      *      end_mask is set, end[i] is ignored and the fullest possible range in
      *      that dimension is used instead.
-     * * 6: An {@link OperandType::INT32} scalar, shrink_axis_mask. An int32
-     *      mask. If the ith bit of shrink_axis_mask is set, it implies that the
-     *      ith specification shrinks the dimensionality by 1. A slice of size 1
-     *      starting from begin[i] in the dimension must be preserved.
+     * * 6: shrink_axis_mask, an {@link OperandType::INT32} scalar. If the
+     *      ith bit of shrink_axis_mask is set, the ith dimension specification
+     *      shrinks the dimensionality by 1, taking on the value at index
+     *      begin[i]. In this case, the ith specification must define a
+     *      slice of size 1, e.g. begin[i] = x, end[i] = x + 1.
      *
      * Outputs:
-     * * 0: A tensor of the same {@link OperandType} as input0.
+     * * 0: A tensor of the same {@link OperandType} as input0 and rank (n - k),
+     *      where k is the number of bits set in shrink_axis_mask.
+     *
+     * Available since API level 28.
      */
     STRIDED_SLICE = 35,
 
@@ -294,6 +311,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
      */
     SUB = 36,
 
@@ -319,8 +338,11 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
+     *
+     * Available since API level 28.
      */
     TRANSPOSE = 37,
+
 };
 
 /**
diff --git a/neuralnetworks/1.1/vts/functional/Android.bp b/neuralnetworks/1.1/vts/functional/Android.bp
index f755c20..52a804a 100644
--- a/neuralnetworks/1.1/vts/functional/Android.bp
+++ b/neuralnetworks/1.1/vts/functional/Android.bp
@@ -28,6 +28,7 @@
     static_libs: [
         "android.hardware.neuralnetworks@1.0",
         "android.hardware.neuralnetworks@1.1",
+        "android.hardware.neuralnetworks@1.2",
         "android.hidl.allocator@1.0",
         "android.hidl.memory@1.0",
         "libhidlmemory",
diff --git a/neuralnetworks/1.2/Android.bp b/neuralnetworks/1.2/Android.bp
new file mode 100644
index 0000000..e183a26
--- /dev/null
+++ b/neuralnetworks/1.2/Android.bp
@@ -0,0 +1,24 @@
+// This file is autogenerated by hidl-gen -Landroidbp.
+
+hidl_interface {
+    name: "android.hardware.neuralnetworks@1.2",
+    root: "android.hardware",
+    vndk: {
+        enabled: true,
+    },
+    srcs: [
+        "types.hal",
+        "IDevice.hal",
+    ],
+    interfaces: [
+        "android.hardware.neuralnetworks@1.0",
+        "android.hardware.neuralnetworks@1.1",
+        "android.hidl.base@1.0",
+    ],
+    types: [
+        "Model",
+        "Operation",
+        "OperationType",
+    ],
+    gen_java: false,
+}
diff --git a/neuralnetworks/1.2/IDevice.hal b/neuralnetworks/1.2/IDevice.hal
new file mode 100644
index 0000000..9cc23a2
--- /dev/null
+++ b/neuralnetworks/1.2/IDevice.hal
@@ -0,0 +1,106 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.neuralnetworks@1.2;
+
+import @1.0::ErrorStatus;
+import @1.0::IPreparedModelCallback;
+import @1.1::ExecutionPreference;
+import @1.1::IDevice;
+
+/**
+ * This interface represents a device driver.
+ */
+interface IDevice extends @1.1::IDevice {
+    /**
+     * Gets the supported operations in a model.
+     *
+     * getSupportedOperations indicates which operations of a model are fully
+     * supported by the vendor driver. If an operation may not be supported for
+     * any reason, getSupportedOperations must return false for that operation.
+     *
+     * @param model A model whose operations--and their corresponding operands--
+     *     are to be verified by the driver.
+     * @return status Error status of the call, must be:
+     *     - NONE if successful
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if provided model is invalid
+     * @return supportedOperations A list of supported operations, where true
+     *     indicates the operation is supported and false indicates the
+     *     operation is not supported. The index of "supported" corresponds with
+     *     the index of the operation it is describing.
+     */
+    getSupportedOperations_1_2(Model model)
+            generates (ErrorStatus status, vec<bool> supportedOperations);
+
+    /**
+     * Creates a prepared model for execution.
+     *
+     * prepareModel is used to make any necessary transformations or alternative
+     * representations to a model for execution, possibly including
+     * transformations on the constant data, optimization on the model's graph,
+     * or compilation into the device's native binary format. The model itself
+     * is not changed.
+     *
+     * The model is prepared asynchronously with respect to the caller. The
+     * prepareModel function must verify the inputs to the prepareModel function
+     * are correct. If there is an error, prepareModel must immediately invoke
+     * the callback with the appropriate ErrorStatus value and nullptr for the
+     * IPreparedModel, then return with the same ErrorStatus. If the inputs to
+     * the prepareModel function are valid and there is no error, prepareModel
+     * must launch an asynchronous task to prepare the model in the background,
+     * and immediately return from prepareModel with ErrorStatus::NONE. If the
+     * asynchronous task fails to launch, prepareModel must immediately invoke
+     * the callback with ErrorStatus::GENERAL_FAILURE and nullptr for the
+     * IPreparedModel, then return with ErrorStatus::GENERAL_FAILURE.
+     *
+     * When the asynchronous task has finished preparing the model, it must
+     * immediately invoke the callback function provided as an input to
+     * prepareModel. If the model was prepared successfully, the callback object
+     * must be invoked with an error status of ErrorStatus::NONE and the
+     * produced IPreparedModel object. If an error occurred preparing the model,
+     * the callback object must be invoked with the appropriate ErrorStatus
+     * value and nullptr for the IPreparedModel.
+     *
+     * The only information that may be unknown to the model at this stage is
+     * the shape of the tensors, which may only be known at execution time. As
+     * such, some driver services may return partially prepared models, where
+     * the prepared model may only be finished when it is paired with a set of
+     * inputs to the model. Note that the same prepared model object may be
+     * used with different shapes of inputs on different (possibly concurrent)
+     * executions.
+     *
+     * Multiple threads may call prepareModel on the same model concurrently.
+     *
+     * @param model The model to be prepared for execution.
+     * @param preference Indicates the intended execution behavior of a prepared
+     *     model.
+     * @param callback A callback object used to return the error status of
+     *     preparing the model for execution and the prepared model if
+     *     successful, nullptr otherwise. The callback object's notify function
+     *     must be called exactly once, even if the model could not be prepared.
+     * @return status Error status of launching a task which prepares the model
+     *     in the background; must be:
+     *     - NONE if preparation task is successfully launched
+     *     - DEVICE_UNAVAILABLE if driver is offline or busy
+     *     - GENERAL_FAILURE if there is an unspecified error
+     *     - INVALID_ARGUMENT if one of the input arguments is invalid
+     */
+    prepareModel_1_2(Model model, ExecutionPreference preference,
+                     IPreparedModelCallback callback)
+          generates (ErrorStatus status);
+};
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
new file mode 100644
index 0000000..4377131
--- /dev/null
+++ b/neuralnetworks/1.2/types.hal
@@ -0,0 +1,162 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.neuralnetworks@1.2;
+
+import @1.0::Operand;
+import @1.0::PerformanceInfo;
+import @1.1::OperationType;
+
+/**
+ * Operation types.
+ *
+ * The type of an operation in a model.
+ */
+enum OperationType : @1.1::OperationType {
+    // TODO(b/116445845): Sync docs when all ops are implemented.
+    ARGMAX = 38,
+    ARGMIN = 39,
+    PAD_V2 = 40,
+    BBOX_TRANSFORM = 41,
+    BIDIRECTIONAL_SEQUENCE_LSTM = 42,
+    BIDIRECTIONAL_SEQUENCE_RNN = 43,
+    BOX_WITH_NMS_LIMIT = 44,
+    CAST = 45,
+    CHANNEL_SHUFFLE = 46,
+    DETECTION_OUTPUT = 47,
+    EMBEDDING_LOOKUP_SPARSE = 48,
+    EXP = 49,
+    EXPAND_DIMS = 50,
+    GATHER = 51,
+    GENERATE_PROPOSALS = 52,
+    GREATER = 53,
+    GREATER_EQUAL = 54,
+    GROUPED_CONV_2D = 55,
+    HEATMAP_MAX_KEYPOINT = 56,
+    LESS = 57,
+    LESS_EQUAL = 58,
+    LOG = 59,
+    LOGICAL_AND = 60,
+    LOGICAL_NOT = 61,
+    LOGICAL_OR = 62,
+    LOG_SOFTMAX = 63,
+    MAXIMUM = 64,
+    MINIMUM = 65,
+    NEG = 66,
+    POW = 67,
+    PRELU = 68,
+    PRIOR_BOX = 69,
+    QUANTIZE = 70,
+    QUANTIZED_16BIT_LSTM = 71,
+    RANDOM_MULTINOMIAL = 72,
+    REDUCE = 73,
+    ROI_ALIGN = 74,
+    RSQRT = 75,
+    SELECT = 76,
+    SIN = 77,
+    SLICE = 78,
+    SPARSE_TO_DENSE = 79,
+    SPLIT = 80,
+    SQRT = 81,
+    TILE = 82,
+    TOPK_V2 = 83,
+    TRANSPOSE_CONV_2D = 84,
+    UNIDIRECTIONAL_SEQUENCE_LSTM = 85,
+    UNIDIRECTIONAL_SEQUENCE_RNN = 86,
+};
+
+/**
+ * Describes one operation of the model's graph.
+ */
+struct Operation {
+    /**
+     * The operation type.
+     */
+    OperationType type;
+
+    /**
+     * Describes the table that contains the indexes of the inputs of the
+     * operation. The offset is the index in the operandIndexes table.
+     */
+    vec<uint32_t> inputs;
+
+    /**
+     * Describes the table that contains the indexes of the outputs of the
+     * operation. The offset is the index in the operandIndexes table.
+     */
+    vec<uint32_t> outputs;
+};
+
+/**
+ * A Neural Network Model.
+ *
+ * This includes not only the execution graph, but also constant data such as
+ * weights or scalars added at construction time. The only information that
+ * may not be known is the shape of the input tensors.
+ */
+struct Model {
+    /**
+     * All operands included in the model.
+     */
+    vec<Operand> operands;
+
+    /**
+     * All operations included in the model.
+     *
+     * The operations are sorted into execution order. Every operand
+     * with lifetime MODEL_OUTPUT or TEMPORARY_VARIABLE must be
+     * written before it is read.
+     */
+    vec<Operation> operations;
+
+    /**
+     * Input indexes of the model. There must be at least one.
+     *
+     * Each value corresponds to the index of the operand in "operands".
+     */
+    vec<uint32_t> inputIndexes;
+
+    /**
+     * Output indexes of the model. There must be at least one.
+     *
+     * Each value corresponds to the index of the operand in "operands".
+     */
+    vec<uint32_t> outputIndexes;
+
+    /**
+     * A byte buffer containing operand data that were copied into the model.
+     *
+     * An operand's value must be located here if and only if Operand::lifetime
+     * equals OperandLifeTime::CONSTANT_COPY.
+     */
+    vec<uint8_t> operandValues;
+
+    /**
+     * A collection of shared memory pools containing operand values.
+     *
+     * An operand's value must be located here if and only if Operand::lifetime
+     * equals OperandLifeTime::CONSTANT_REFERENCE.
+     */
+    vec<memory> pools;
+
+    /**
+     * 'true' indicates TENSOR_FLOAT32 may be calculated with range and/or
+     * precision as low as that of the IEEE 754 16-bit floating-point format.
+     * 'false' indicates TENSOR_FLOAT32 must be calculated using at least the
+     * range and precision of the IEEE 754 32-bit floating-point format.
+     */
+    bool relaxComputationFloat32toFloat16;
+};
diff --git a/neuralnetworks/1.2/vts/OWNERS b/neuralnetworks/1.2/vts/OWNERS
new file mode 100644
index 0000000..8f25436
--- /dev/null
+++ b/neuralnetworks/1.2/vts/OWNERS
@@ -0,0 +1,14 @@
+# Neuralnetworks team
+butlermichael@google.com
+dgross@google.com
+jeanluc@google.com
+levp@google.com
+miaowang@google.com
+mikie@google.com
+mks@google.com
+pszczepaniak@google.com
+slavash@google.com
+
+# VTS team
+yim@google.com
+yuexima@google.com
diff --git a/neuralnetworks/1.2/vts/functional/Android.bp b/neuralnetworks/1.2/vts/functional/Android.bp
new file mode 100644
index 0000000..2dc19cc
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/Android.bp
@@ -0,0 +1,52 @@
+//
+// 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.
+//
+
+cc_test {
+    name: "VtsHalNeuralnetworksV1_2TargetTest",
+    srcs: [
+        "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@1.2",
+        "android.hidl.allocator@1.0",
+        "android.hidl.memory@1.0",
+        "libhidlmemory",
+        "libneuralnetworks_utils",
+        "VtsHalNeuralnetworksTest_utils",
+    ],
+    header_libs: [
+        "libneuralnetworks_headers",
+        "libneuralnetworks_generated_test_harness_headers",
+        "libneuralnetworks_generated_tests",
+    ],
+    // Bug: http://b/74200014 - Disable arm32 asan since it triggers internal
+    // error in ld.gold.
+    arch: {
+        arm: {
+            sanitize: {
+                never: true,
+            },
+        },
+    },
+}
diff --git a/neuralnetworks/1.2/vts/functional/BasicTests.cpp b/neuralnetworks/1.2/vts/functional/BasicTests.cpp
new file mode 100644
index 0000000..d2dea1d
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/BasicTests.cpp
@@ -0,0 +1,45 @@
+/*
+ * 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_2 {
+namespace vts {
+namespace functional {
+
+using V1_1::Capabilities;
+
+// 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));
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
new file mode 100644
index 0000000..662c531
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
@@ -0,0 +1,60 @@
+/*
+ * 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 ::test_helper::MixedTypedExampleType;
+extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,
+                    std::function<bool(int)>, const std::vector<MixedTypedExampleType>&);
+}  // namespace generated_tests
+
+namespace V1_2 {
+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"
+#include "all_generated_V1_2_vts_tests.cpp"
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/Models.h b/neuralnetworks/1.2/vts/functional/Models.h
new file mode 100644
index 0000000..f3769bc
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/Models.h
@@ -0,0 +1,378 @@
+/*
+ * 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_2_VTS_FUNCTIONAL_MODELS_H
+#define VTS_HAL_NEURALNETWORKS_V1_2_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>
+#include <android/hardware/neuralnetworks/1.2/types.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_2 {
+namespace vts {
+namespace functional {
+
+using MixedTypedExample = test_helper::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_float_5_relaxed)                                 \
+    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_float_1_relaxed)                           \
+    FN(batch_to_space_quant8_1)                                  \
+    FN(batch_to_space_relaxed)                                   \
+    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_2_relaxed)                                     \
+    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_2_relaxed)                         \
+    FN(depthwise_conv2d_float_large)                             \
+    FN(depthwise_conv2d_float_large_2)                           \
+    FN(depthwise_conv2d_float_large_2_relaxed)                   \
+    FN(depthwise_conv2d_float_large_2_weights_as_inputs)         \
+    FN(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) \
+    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_relaxed)                           \
+    FN(depthwise_conv2d_float_weights_as_inputs)                 \
+    FN(depthwise_conv2d_float_weights_as_inputs_relaxed)         \
+    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(dequantize_relaxed)                                       \
+    FN(div)                                                      \
+    FN(div_broadcast_float)                                      \
+    FN(div_broadcast_float_relaxed)                              \
+    FN(div_relaxed)                                              \
+    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_2_relaxed)                          \
+    FN(fully_connected_float_4d_simple)                          \
+    FN(fully_connected_float_4d_simple_relaxed)                  \
+    FN(fully_connected_float_large)                              \
+    FN(fully_connected_float_large_relaxed)                      \
+    FN(fully_connected_float_large_weights_as_inputs)            \
+    FN(fully_connected_float_large_weights_as_inputs_relaxed)    \
+    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_2_relaxed)                               \
+    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_2_relaxed)                                  \
+    FN(l2_pool_float_large)                                      \
+    FN(l2_pool_float_large_relaxed)                              \
+    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_float_4_relaxed)                                 \
+    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_1_relaxed)                                     \
+    FN(mean_float_2)                                             \
+    FN(mean_float_2_relaxed)                                     \
+    FN(mean_quant8_1)                                            \
+    FN(mean_quant8_2)                                            \
+    FN(mean_relaxed)                                             \
+    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(pad_float_1_relaxed)                                      \
+    FN(pad_relaxed)                                              \
+    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_float_2_relaxed)                                     \
+    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_2_relaxed)                                \
+    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_1_relaxed)                           \
+    FN(space_to_batch_float_2)                                   \
+    FN(space_to_batch_float_2_relaxed)                           \
+    FN(space_to_batch_float_3)                                   \
+    FN(space_to_batch_float_3_relaxed)                           \
+    FN(space_to_batch_quant8_1)                                  \
+    FN(space_to_batch_quant8_2)                                  \
+    FN(space_to_batch_quant8_3)                                  \
+    FN(space_to_batch_relaxed)                                   \
+    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_float_1_relaxed)                                  \
+    FN(squeeze_quant8_1)                                         \
+    FN(squeeze_relaxed)                                          \
+    FN(strided_slice)                                            \
+    FN(strided_slice_float_1)                                    \
+    FN(strided_slice_float_10)                                   \
+    FN(strided_slice_float_10_relaxed)                           \
+    FN(strided_slice_float_11)                                   \
+    FN(strided_slice_float_11_relaxed)                           \
+    FN(strided_slice_float_1_relaxed)                            \
+    FN(strided_slice_float_2)                                    \
+    FN(strided_slice_float_2_relaxed)                            \
+    FN(strided_slice_float_3)                                    \
+    FN(strided_slice_float_3_relaxed)                            \
+    FN(strided_slice_float_4)                                    \
+    FN(strided_slice_float_4_relaxed)                            \
+    FN(strided_slice_float_5)                                    \
+    FN(strided_slice_float_5_relaxed)                            \
+    FN(strided_slice_float_6)                                    \
+    FN(strided_slice_float_6_relaxed)                            \
+    FN(strided_slice_float_7)                                    \
+    FN(strided_slice_float_7_relaxed)                            \
+    FN(strided_slice_float_8)                                    \
+    FN(strided_slice_float_8_relaxed)                            \
+    FN(strided_slice_float_9)                                    \
+    FN(strided_slice_float_9_relaxed)                            \
+    FN(strided_slice_qaunt8_10)                                  \
+    FN(strided_slice_qaunt8_11)                                  \
+    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(strided_slice_relaxed)                                    \
+    FN(sub)                                                      \
+    FN(sub_broadcast_float)                                      \
+    FN(sub_broadcast_float_relaxed)                              \
+    FN(sub_relaxed)                                              \
+    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_float_1_relaxed)                                \
+    FN(transpose_quant8_1)                                       \
+    FN(transpose_relaxed)
+
+#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_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
+
+#endif  // VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
new file mode 100644
index 0000000..7ec6ff1
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
@@ -0,0 +1,538 @@
+/*
+ * 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_2 {
+
+using V1_0::IPreparedModel;
+using V1_0::Operand;
+using V1_0::OperandLifeTime;
+using V1_0::OperandType;
+using V1_1::ExecutionPreference;
+
+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 Model& model) {
+    SCOPED_TRACE(message + " [getSupportedOperations_1_2]");
+
+    Return<void> ret =
+        device->getSupportedOperations_1_2(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 Model& model, ExecutionPreference preference) {
+    SCOPED_TRACE(message + " [prepareModel_1_2]");
+
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus =
+        device->prepareModel_1_2(model, preference, 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());
+}
+
+static bool validExecutionPreference(ExecutionPreference preference) {
+    return preference == ExecutionPreference::LOW_POWER ||
+           preference == ExecutionPreference::FAST_SINGLE_ANSWER ||
+           preference == ExecutionPreference::SUSTAINED_SPEED;
+}
+
+// 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, Model model,
+                     const std::function<void(Model*)>& mutation,
+                     ExecutionPreference preference = ExecutionPreference::FAST_SINGLE_ANSWER) {
+    mutation(&model);
+    if (validExecutionPreference(preference)) {
+        validateGetSupportedOperations(device, message, model);
+    }
+    validatePrepareModel(device, message, model, preference);
+}
+
+// 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 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 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 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 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 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 Model& model) {
+    for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        if (mutateOperationOperandTypeSkip(operand, model)) {
+            continue;
+        }
+        for (OperandType invalidOperandType : hidl_enum_range<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 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 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 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 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 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 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 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 == 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 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 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 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);
+        });
+    }
+}
+
+///////////////////////// VALIDATE EXECUTION PREFERENCE /////////////////////////
+
+static const int32_t invalidExecutionPreferences[] = {
+    static_cast<int32_t>(ExecutionPreference::LOW_POWER) - 1,        // lower bound
+    static_cast<int32_t>(ExecutionPreference::SUSTAINED_SPEED) + 1,  // upper bound
+};
+
+static void mutateExecutionPreferenceTest(const sp<IDevice>& device, const Model& model) {
+    for (int32_t preference : invalidExecutionPreferences) {
+        const std::string message =
+            "mutateExecutionPreferenceTest: preference " + std::to_string(preference);
+        validate(device, message, model, [](Model*) {},
+                 static_cast<ExecutionPreference>(preference));
+    }
+}
+
+////////////////////////// ENTRY POINT //////////////////////////////
+
+void ValidationTest::validateModel(const 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);
+    mutateExecutionPreferenceTest(device, model);
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
new file mode 100644
index 0000000..f4476fa
--- /dev/null
+++ b/neuralnetworks/1.2/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_2 {
+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 test_helper::for_all;
+using test_helper::MixedTyped;
+using test_helper::MixedTypedExampleType;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+static void createPreparedModel(const sp<IDevice>& device, const Model& model,
+                                sp<IPreparedModel>* preparedModel) {
+    ASSERT_NE(nullptr, preparedModel);
+
+    // see if service can handle model
+    bool fullySupportsModel = false;
+    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_2(
+        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_2(
+        model, ExecutionPreference::FAST_SINGLE_ANSWER, 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_2 call returns a list of operations that are
+    // guaranteed not to fail if prepareModel_1_2 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 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_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/ValidationTests.cpp b/neuralnetworks/1.2/vts/functional/ValidationTests.cpp
new file mode 100644
index 0000000..3bdc5cd
--- /dev/null
+++ b/neuralnetworks/1.2/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_2 {
+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_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.cpp b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.cpp
new file mode 100644
index 0000000..90a910c
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.cpp
@@ -0,0 +1,86 @@
+/*
+ * 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_2 {
+namespace vts {
+namespace functional {
+
+// A class for test environment setup
+NeuralnetworksHidlEnvironment::NeuralnetworksHidlEnvironment() {}
+
+NeuralnetworksHidlEnvironment::~NeuralnetworksHidlEnvironment() {}
+
+NeuralnetworksHidlEnvironment* NeuralnetworksHidlEnvironment::getInstance() {
+    // This has to return a "new" object because it is freed inside
+    // ::testing::AddGlobalTestEnvironment when the gtest is being torn down
+    static NeuralnetworksHidlEnvironment* instance = new NeuralnetworksHidlEnvironment();
+    return instance;
+}
+
+void NeuralnetworksHidlEnvironment::registerTestServices() {
+    registerTestService<IDevice>();
+}
+
+// The main test class for NEURALNETWORK HIDL HAL.
+NeuralnetworksHidlTest::NeuralnetworksHidlTest() {}
+
+NeuralnetworksHidlTest::~NeuralnetworksHidlTest() {}
+
+void NeuralnetworksHidlTest::SetUp() {
+    ::testing::VtsHalHidlTargetTestBase::SetUp();
+    device = ::testing::VtsHalHidlTargetTestBase::getService<IDevice>(
+        NeuralnetworksHidlEnvironment::getInstance());
+    ASSERT_NE(nullptr, device.get());
+}
+
+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_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
+
+using android::hardware::neuralnetworks::V1_2::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/1.2/vts/functional/VtsHalNeuralnetworks.h b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.h
new file mode 100644
index 0000000..a87d788
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.h
@@ -0,0 +1,92 @@
+/*
+ * 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_2_H
+#define VTS_HAL_NEURALNETWORKS_V1_2_H
+
+#include <android/hardware/neuralnetworks/1.0/types.h>
+#include <android/hardware/neuralnetworks/1.1/types.h>
+#include <android/hardware/neuralnetworks/1.2/IDevice.h>
+#include <android/hardware/neuralnetworks/1.2/types.h>
+
+#include <VtsHalHidlTargetTestBase.h>
+#include <VtsHalHidlTargetTestEnvBase.h>
+
+#include <android-base/macros.h>
+#include <gtest/gtest.h>
+#include <iostream>
+#include <vector>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_2 {
+
+using V1_0::DeviceStatus;
+using V1_0::ErrorStatus;
+using V1_0::Request;
+
+namespace vts {
+namespace functional {
+
+// A class for test environment setup
+class NeuralnetworksHidlEnvironment : public ::testing::VtsHalHidlTargetTestEnvBase {
+    DISALLOW_COPY_AND_ASSIGN(NeuralnetworksHidlEnvironment);
+    NeuralnetworksHidlEnvironment();
+    ~NeuralnetworksHidlEnvironment() override;
+
+   public:
+    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;
+
+   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
+::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus);
+::std::ostream& operator<<(::std::ostream& os, DeviceStatus deviceStatus);
+
+}  // namespace V1_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
+
+#endif  // VTS_HAL_NEURALNETWORKS_V1_2_H
diff --git a/radio/1.3/Android.bp b/radio/1.3/Android.bp
index 042df6c..5ac38cd 100644
--- a/radio/1.3/Android.bp
+++ b/radio/1.3/Android.bp
@@ -20,8 +20,10 @@
     ],
     types: [
         "AccessNetwork",
+        "DataRegStateResult",
         "EmergencyNumber",
         "EmergencyServiceCategory",
+        "LteVopsInfo",
     ],
     gen_java: true,
 }
diff --git a/radio/1.3/IRadioResponse.hal b/radio/1.3/IRadioResponse.hal
index 6912d0a..3604953 100644
--- a/radio/1.3/IRadioResponse.hal
+++ b/radio/1.3/IRadioResponse.hal
@@ -71,4 +71,18 @@
      *   RadioError:CANCELLED
      */
     oneway emergencyDialResponse(RadioResponseInfo info);
+
+    /**
+     * @param info Response info struct containing response type, serial no. and error
+     * @param dataRegResponse Current Data registration response as defined by DataRegStateResult in
+     *        types.hal
+     *
+     * Valid errors returned:
+     *   RadioError:NONE
+     *   RadioError:RADIO_NOT_AVAILABLE
+     *   RadioError:INTERNAL_ERR
+     *   RadioError:NOT_PROVISIONED
+     */
+    oneway getDataRegistrationStateResponse_1_3(RadioResponseInfo info,
+            DataRegStateResult dataRegResponse);
 };
diff --git a/radio/1.3/types.hal b/radio/1.3/types.hal
index c04451f..d472ca7 100644
--- a/radio/1.3/types.hal
+++ b/radio/1.3/types.hal
@@ -16,7 +16,10 @@
 
 package android.hardware.radio@1.3;
 
+import @1.0::RegState;
 import @1.2::AccessNetwork;
+import @1.2::CellIdentity;
+import @1.2::DataRegStateResult;
 
 enum AccessNetwork : @1.2::AccessNetwork {
     /**
@@ -81,3 +84,39 @@
     MIEC = 1 << 5, // Manually Initiated eCall (MIeC)
     AIEC = 1 << 6, // Automatically Initiated eCall (AIeC)
 };
+
+/**
+ * Type to define the LTE specific network capabilities for voice over PS including
+ * emergency and normal voice calls.
+ */
+struct LteVopsInfo {
+    /**
+     * This indicates if camped network support VoLTE services. This information is received
+     * from LTE network during LTE NAS registration procedure through LTE ATTACH ACCEPT/TAU
+     * ACCEPT. Refer 3GPP 24.301 EPS network feature support -> IMS VoPS
+     */
+    bool isVopsSupported;
+    /**
+     * This indicates if camped network support VoLTE emergency bearers. This information
+     * is received from LTE network through two sources:
+     * a. During LTE NAS registration procedure through LTE ATTACH ACCEPT/TAU ACCEPT. Refer
+     *    3GPP 24.301 EPS network feature support -> EMC BS
+     * b. In case device is not registered on network. Refer 3GPP 25.331 LTE RRC
+     *    SIB1 : ims-EmergencySupport-r9
+     * If device is registered on LTE, then this field indicates (a).
+     * In case of limited service on LTE this field indicates (b).
+     */
+    bool isEmcBearerSupported;
+};
+
+struct DataRegStateResult {
+    @1.2::DataRegStateResult base;
+    /**
+     * Network capabilities for voice over PS services. This info is valid only
+     * on LTE network and must be present when device is camped on LTE. vopsInfo
+     * will be empty when device is camped only on 2G/3G .
+     */
+    safe_union VopsInfo {
+        LteVopsInfo lteVopsInfo; // LTE network capability
+    } vopsInfo;
+};
diff --git a/sensors/2.0/Android.bp b/sensors/2.0/Android.bp
new file mode 100644
index 0000000..3b948a9
--- /dev/null
+++ b/sensors/2.0/Android.bp
@@ -0,0 +1,24 @@
+// This file is autogenerated by hidl-gen -Landroidbp.
+
+hidl_interface {
+    name: "android.hardware.sensors@2.0",
+    root: "android.hardware",
+    vndk: {
+        enabled: true,
+    },
+    srcs: [
+        "types.hal",
+        "ISensors.hal",
+        "ISensorsCallback.hal",
+    ],
+    interfaces: [
+        "android.hardware.sensors@1.0",
+        "android.hidl.base@1.0",
+    ],
+    types: [
+        "EventQueueFlagBits",
+        "SensorTimeout",
+    ],
+    gen_java: false,
+}
+
diff --git a/sensors/2.0/ISensors.hal b/sensors/2.0/ISensors.hal
new file mode 100644
index 0000000..2a57251
--- /dev/null
+++ b/sensors/2.0/ISensors.hal
@@ -0,0 +1,248 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.sensors@2.0;
+
+import @1.0::Event;
+import @1.0::OperationMode;
+import @1.0::RateLevel;
+import @1.0::Result;
+import @1.0::SensorInfo;
+import @1.0::SharedMemInfo;
+import @2.0::ISensorsCallback;
+
+interface ISensors {
+    /**
+     * Enumerate all available (static) sensors.
+     */
+    getSensorsList() generates (vec<SensorInfo> list);
+
+    /**
+     * Place the module in a specific mode. The following modes are defined
+     *
+     *  SENSOR_HAL_NORMAL_MODE - Normal operation. Default state of the module.
+     *
+     *  SENSOR_HAL_DATA_INJECTION_MODE - Loopback mode.
+     *    Data is injected for the supported sensors by the sensor service in
+     *    this mode.
+     *
+     * @return OK on success
+     *     BAD_VALUE if requested mode is not supported
+     *     PERMISSION_DENIED if operation is not allowed
+     */
+    setOperationMode(OperationMode mode) generates (Result result);
+
+    /**
+     * Activate/de-activate one sensor.
+     *
+     * After sensor de-activation, existing sensor events that have not
+     * been written to the event queue must be abandoned immediately so that
+     * subsequent activations do not get stale sensor events (events
+     * that are generated prior to the latter activation).
+     *
+     * @param sensorHandle is the handle of the sensor to change.
+     * @param enabled set to true to enable, or false to disable the sensor.
+     * @return result OK on success, BAD_VALUE if sensorHandle is invalid.
+     */
+    activate(int32_t sensorHandle, bool enabled) generates (Result result);
+
+    /**
+     * Initialize the Sensors HAL's Fast Message Queues (FMQ) and callback.
+     *
+     * The Fast Message Queues (FMQ) that are used to send data between the
+     * framework and the HAL. The callback is used by the HAL to notify the
+     * framework of asynchronous events, such as a dynamic sensor connection.
+     *
+     * The Event FMQ is used to transport sensor events from the HAL to the
+     * framework. The Event FMQ is created using the eventQueueDescriptor.
+     * Data may only be written to the Event FMQ. Data must not be read from
+     * the Event FMQ since the framework is the only reader. Upon receiving
+     * sensor events, the HAL should write the sensor events to the Event FMQ.
+     * Once the HAL is finished writing sensor events to the Event FMQ, the HAL
+     * must call the Event FMQ's EventFlag wake() function with the
+     * EventQueueFlagBits::READ_AND_PROCESS mask which notifies the framework
+     * that sensor events are available to be read and processed.
+     *
+     * The Wake Lock FMQ is used by the framework to notify the HAL when it is
+     * safe to release its wake_lock. When the framework receives WAKE_UP events
+     * from the Event FMQ and the framework has acquired a wake_lock, the
+     * framework must write a WakeLockEvent to the Wake Lock FMQ with the number
+     * of WAKE_UP events processed. When the HAL reads the WakeLockEvent from
+     * the Wake Lock FMQ, the HAL should decrement its current count of
+     * unprocessed WAKE_UP events and release its wake_lock if the current
+     * count of unprocessed WAKE_UP events is zero.
+     *
+     * The ISensorsCallback is used by the HAL to notify the framework of
+     * asynchronous events, such as a dynamic sensor connection.
+     *
+     * The name of any wake_lock acquired by the Sensors HAL for WAKE_UP events
+     * must begin with "SensorsHAL_WAKEUP".
+     *
+     * If WAKE_LOCK_TIMEOUT_SECONDS has elapsed since the most recent WAKE_UP
+     * event was written to the Event FMQ without receiving a message on the
+     * Wake Lock FMQ, then any held wake_lock for WAKE_UP events must be
+     * released.
+     *
+     * If either the Event FMQ or the Wake Lock FMQ is already initialized when
+     * initialize is invoked, then both existing FMQs must be discarded and the
+     * new descriptors must be used to create new FMQs within the HAL. The
+     * number of outstanding WAKE_UP events should also be reset to zero, and
+     * any outstanding wake_locks held as a result of WAKE_UP events should be
+     * released.
+     *
+     * initialize must be thread safe and prevent concurrent calls
+     * to initialize from simultaneously modifying state.
+     *
+     * @param eventQueueDescriptor Fast Message Queue descriptor that is used to
+     *     create the Event FMQ which is where sensor events are written. The
+     *     descriptor is obtained from the framework's FMQ that is used to read
+     *     sensor events.
+     * @param wakeLockDescriptor Fast Message Queue descriptor that is used to
+     *     create the Wake Lock FMQ which is where wake_lock events are read
+     *     from. The descriptor is obtained from the framework's FMQ that is
+     *     used to write wake_lock events.
+     * @param sensorsCallback sensors callback that receives asynchronous data
+     *     from the Sensors HAL.
+     * @return result OK on success; BAD_VALUE if descriptor is invalid (such
+     *     as null)
+     */
+    @entry
+    @callflow(next = {"getSensorsList"})
+    initialize(fmq_sync<Event> eventQueueDescriptor,
+               fmq_sync<uint32_t> wakeLockDescriptor,
+               ISensorsCallback sensorsCallback)
+        generates
+              (Result result);
+
+    /**
+     * Sets a sensor’s parameters, including sampling frequency and maximum
+     * report latency. This function can be called while the sensor is
+     * activated, in which case it must not cause any sensor measurements to
+     * be lost: transitioning from one sampling rate to the other cannot cause
+     * lost events, nor can transitioning from a high maximum report latency to
+     * a low maximum report latency.
+     *
+     * @param sensorHandle handle of sensor to be changed.
+     * @param samplingPeriodNs specifies sensor sample period in nanoseconds.
+     * @param maxReportLatencyNs allowed delay time before an event is sampled
+     *     to time of report.
+     * @return result OK on success, BAD_VALUE if any parameters are invalid.
+     */
+    batch(int32_t sensorHandle,
+          int64_t samplingPeriodNs,
+          int64_t maxReportLatencyNs)
+        generates (
+          Result result);
+
+    /**
+     * Trigger a flush of internal FIFO.
+     *
+     * Flush adds a FLUSH_COMPLETE metadata event to the end of the "batch mode"
+     * FIFO for the specified sensor and flushes the FIFO.  If the FIFO is empty
+     * or if the sensor doesn't support batching (FIFO size zero), return
+     * SUCCESS and add a trivial FLUSH_COMPLETE event added to the event stream.
+     * This applies to all sensors other than one-shot sensors. If the sensor
+     * is a one-shot sensor, flush must return BAD_VALUE and not generate any
+     * flush complete metadata.  If the sensor is not active at the time flush()
+     * is called, flush() return BAD_VALUE.
+     *
+     * @param sensorHandle handle of sensor to be flushed.
+     * @return result OK on success and BAD_VALUE if sensorHandle is invalid.
+     */
+    flush(int32_t sensorHandle) generates (Result result);
+
+    /**
+     * Inject a single sensor event or push operation environment parameters to
+     * device.
+     *
+     * When device is in NORMAL mode, this function is called to push operation
+     * environment data to device. In this operation, Event is always of
+     * SensorType::AdditionalInfo type. See operation evironment parameters
+     * section in AdditionalInfoType.
+     *
+     * When device is in DATA_INJECTION mode, this function is also used for
+     * injecting sensor events.
+     *
+     * Regardless of OperationMode, injected SensorType::ADDITIONAL_INFO
+     * type events should not be routed back to the sensor event queue.
+     *
+     * @see AdditionalInfoType
+     * @see OperationMode
+     * @param event sensor event to be injected
+     * @return result OK on success; PERMISSION_DENIED if operation is not
+     *     allowed; INVALID_OPERATION, if this functionality is unsupported;
+     *     BAD_VALUE if sensor event cannot be injected.
+     */
+    injectSensorData(Event event) generates (Result result);
+
+    /**
+     * Register direct report channel.
+     *
+     * Register a direct channel with supplied shared memory information. Upon
+     * return, the sensor hardware is responsible for resetting the memory
+     * content to initial value (depending on memory format settings).
+     *
+     * @param mem shared memory info data structure.
+     * @return result OK on success; BAD_VALUE if shared memory information is
+     *     not consistent; NO_MEMORY if shared memory cannot be used by sensor
+     *     system; INVALID_OPERATION if functionality is not supported.
+     * @return channelHandle a positive integer used for referencing registered
+     *     direct channel (>0) in configureDirectReport and
+     *     unregisterDirectChannel if result is OK, -1 otherwise.
+     */
+    registerDirectChannel(SharedMemInfo mem)
+               generates (Result result,
+                          int32_t channelHandle);
+
+    /**
+     * Unregister direct report channel.
+     *
+     * Unregister a direct channel previously registered using
+     * registerDirectChannel, and remove all active sensor report configured in
+     * still active sensor report configured in the direct channel.
+     *
+     * @param channelHandle handle of direct channel to be unregistered.
+     * @return result OK if direct report is supported; INVALID_OPERATION
+     *     otherwise.
+     */
+    unregisterDirectChannel(int32_t channelHandle) generates (Result result);
+
+    /**
+     * Configure direct sensor event report in direct channel.
+     *
+     * This function start, modify rate or stop direct report of a sensor in a
+     * certain direct channel.
+     *
+     * @param sensorHandle handle of sensor to be configured. When combined
+     *     with STOP rate, sensorHandle can be -1 to denote all active sensors
+     *     in the direct channel specified by channel Handle.
+     * @param channelHandle handle of direct channel to be configured.
+     * @param rate rate level, see RateLevel enum.
+     * @return result OK on success; BAD_VALUE if parameter is invalid (such as
+     *     rate level is not supported by sensor, channelHandle does not exist,
+     *     etc); INVALID_OPERATION if functionality is not supported.
+     * @return reportToken positive integer to identify multiple sensors of
+     *     the same type in a single direct channel. Ignored if rate is STOP.
+     *     See SharedMemFormat.
+     */
+    configDirectReport(
+            int32_t sensorHandle,
+            int32_t channelHandle,
+            RateLevel rate
+        ) generates (
+            Result result,
+            int32_t reportToken);
+};
diff --git a/sensors/2.0/ISensorsCallback.hal b/sensors/2.0/ISensorsCallback.hal
new file mode 100644
index 0000000..e0bd98f
--- /dev/null
+++ b/sensors/2.0/ISensorsCallback.hal
@@ -0,0 +1,48 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.sensors@2.0;
+
+import @1.0::SensorInfo;
+
+interface ISensorsCallback {
+    /**
+     * Notify the framework that new dynamic sensors have been connected.
+     *
+     * If a dynamic sensor was previously connected and has not been
+     * disconnected, then that sensor must not be included in sensorInfos.
+     *
+     * @param sensorInfos vector of SensorInfo for each dynamic sensor that
+     *     was connected.
+     */
+    oneway onDynamicSensorsConnected(vec<SensorInfo> sensorInfos);
+
+    /**
+     * Notify the framework that previously connected dynamic sensors have been
+     * disconnected.
+     *
+     * If a dynamic sensor was previously disconnected and has not been
+     * reconnected, then that sensor must not be included in sensorHandles.
+     *
+     * The HAL must ensure that all sensor events from departing dynamic
+     * sensors have been written to the Event FMQ before calling
+     * onDynamicSensorsDisconnected.
+     *
+     * @param sensorHandles vector of sensor handles for each dynamic sensors
+     *     that was disconnected.
+     */
+    oneway onDynamicSensorsDisconnected(vec<int32_t> sensorHandles);
+};
diff --git a/health/filesystem/1.0/types.hal b/sensors/2.0/types.hal
similarity index 61%
copy from health/filesystem/1.0/types.hal
copy to sensors/2.0/types.hal
index 0d2db2c..e1a029a 100644
--- a/health/filesystem/1.0/types.hal
+++ b/sensors/2.0/types.hal
@@ -14,22 +14,19 @@
  * limitations under the License.
  */
 
-package android.hardware.health.filesystem@1.0;
+package android.hardware.sensors@2.0;
 
-/**
- * Status values for HAL methods.
- */
-enum Result : uint32_t {
+enum SensorTimeout : int32_t {
     /**
-     * Execution of the method is successful.
+     * The maximum number of seconds to wait for a message on the Wake Lock FMQ
+     * before automatically releasing any wake_lock held for a WAKE_UP event.
      */
-    SUCCESS = 0,
+    WAKE_LOCK_SECONDS = 1,
+};
+
+enum EventQueueFlagBits : uint32_t {
     /**
-     * An IO error is encountered when the HAL communicates with the device.
+     * Used to notify the Event FMQ that events should be read and processed.
      */
-    IO_ERROR,
-    /**
-     * An unknown error is encountered.
-     */
-    UNKNOWN_ERROR,
+    READ_AND_PROCESS = 1 << 0,
 };
diff --git a/tests/safeunion/1.0/ISafeUnion.hal b/tests/safeunion/1.0/ISafeUnion.hal
index c38777a..f48248b 100644
--- a/tests/safeunion/1.0/ISafeUnion.hal
+++ b/tests/safeunion/1.0/ISafeUnion.hal
@@ -60,6 +60,9 @@
         } k;
 
         SmallSafeUnion l;
+
+        BitField m;
+        bitfield<BitField> n;
     };
 
     safe_union InterfaceTypeSafeUnion {
@@ -91,6 +94,8 @@
     setJ(LargeSafeUnion myUnion, J j) generates (LargeSafeUnion myUnion);
     setK(LargeSafeUnion myUnion, LargeSafeUnion.K k) generates (LargeSafeUnion myUnion);
     setL(LargeSafeUnion myUnion, SmallSafeUnion l) generates (LargeSafeUnion myUnion);
+    setM(LargeSafeUnion myUnion, BitField m) generates (LargeSafeUnion myUnion);
+    setN(LargeSafeUnion myUnion, bitfield<BitField> m) generates (LargeSafeUnion myUnion);
 
     newInterfaceTypeSafeUnion() generates (InterfaceTypeSafeUnion myUnion);
     setInterfaceA(InterfaceTypeSafeUnion myUnion, uint32_t a) generates (InterfaceTypeSafeUnion myUnion);
diff --git a/tests/safeunion/1.0/default/SafeUnion.cpp b/tests/safeunion/1.0/default/SafeUnion.cpp
index c395664..4fb0974 100644
--- a/tests/safeunion/1.0/default/SafeUnion.cpp
+++ b/tests/safeunion/1.0/default/SafeUnion.cpp
@@ -153,6 +153,27 @@
     return Void();
 }
 
+Return<void> SafeUnion::setM(const LargeSafeUnion& myUnion, BitField m, setL_cb _hidl_cb) {
+    LOG(INFO) << "SERVER(SafeUnion) setM(myUnion, " << toString(m) << ")";
+
+    LargeSafeUnion myNewUnion = myUnion;
+    myNewUnion.m(m);
+
+    _hidl_cb(myNewUnion);
+    return Void();
+}
+
+Return<void> SafeUnion::setN(const LargeSafeUnion& myUnion, hidl_bitfield<BitField> n,
+                             setL_cb _hidl_cb) {
+    LOG(INFO) << "SERVER(SafeUnion) setN(myUnion, " << n << ")";
+
+    LargeSafeUnion myNewUnion = myUnion;
+    myNewUnion.n(n);
+
+    _hidl_cb(myNewUnion);
+    return Void();
+}
+
 Return<void> SafeUnion::newInterfaceTypeSafeUnion(newInterfaceTypeSafeUnion_cb _hidl_cb) {
     LOG(INFO) << "SERVER(SafeUnion) newInterfaceTypeSafeUnion()";
 
diff --git a/tests/safeunion/1.0/default/SafeUnion.h b/tests/safeunion/1.0/default/SafeUnion.h
index e774e09..ee3a954 100644
--- a/tests/safeunion/1.0/default/SafeUnion.h
+++ b/tests/safeunion/1.0/default/SafeUnion.h
@@ -47,6 +47,9 @@
     Return<void> setJ(const LargeSafeUnion& myUnion, const J& j, setJ_cb _hidl_cb) override;
     Return<void> setK(const LargeSafeUnion& myUnion, const LargeSafeUnion::K& k, setK_cb _hidl_cb) override;
     Return<void> setL(const LargeSafeUnion& myUnion, const SmallSafeUnion& l, setL_cb _hidl_cb) override;
+    Return<void> setM(const LargeSafeUnion& myUnion, BitField m, setL_cb _hidl_cb) override;
+    Return<void> setN(const LargeSafeUnion& myUnion, hidl_bitfield<BitField> n,
+                      setL_cb _hidl_cb) override;
 
     Return<void> newInterfaceTypeSafeUnion(newInterfaceTypeSafeUnion_cb _hidl_cb) override;
     Return<void> setInterfaceA(const InterfaceTypeSafeUnion& myUnion, uint32_t a, setInterfaceA_cb _hidl_cb) override;
diff --git a/wifi/1.3/vts/OWNERS b/wifi/1.3/vts/OWNERS
new file mode 100644
index 0000000..8bfb148
--- /dev/null
+++ b/wifi/1.3/vts/OWNERS
@@ -0,0 +1,2 @@
+rpius@google.com
+etancohen@google.com
diff --git a/wifi/1.3/vts/functional/Android.bp b/wifi/1.3/vts/functional/Android.bp
new file mode 100644
index 0000000..dbe77bd
--- /dev/null
+++ b/wifi/1.3/vts/functional/Android.bp
@@ -0,0 +1,30 @@
+//
+// 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.
+//
+
+cc_test {
+    name: "VtsHalWifiV1_3TargetTest",
+    defaults: ["VtsHalTargetTestDefaults"],
+    srcs: [
+        "VtsHalWifiV1_3TargetTest.cpp",
+    ],
+    static_libs: [
+        "VtsHalWifiV1_0TargetTestUtil",
+        "android.hardware.wifi@1.0",
+        "android.hardware.wifi@1.1",
+        "android.hardware.wifi@1.2",
+        "android.hardware.wifi@1.3",
+    ],
+}
diff --git a/wifi/1.3/vts/functional/VtsHalWifiV1_3TargetTest.cpp b/wifi/1.3/vts/functional/VtsHalWifiV1_3TargetTest.cpp
new file mode 100644
index 0000000..b410a48
--- /dev/null
+++ b/wifi/1.3/vts/functional/VtsHalWifiV1_3TargetTest.cpp
@@ -0,0 +1,48 @@
+/*
+ * 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 <android/hardware/wifi/1.3/IWifi.h>
+
+#include "wifi_hidl_test_utils.h"
+
+// Test environment for Wifi HIDL HAL.
+class WifiHidlEnvironment_1_3 : public WifiHidlEnvironment {
+   public:
+    // get the test environment singleton
+    static WifiHidlEnvironment_1_3* Instance() {
+        static WifiHidlEnvironment_1_3* instance = new WifiHidlEnvironment_1_3;
+        return instance;
+    }
+
+    virtual void registerTestServices() override {
+        registerTestService<android::hardware::wifi::V1_3::IWifi>();
+    }
+
+   private:
+    WifiHidlEnvironment_1_3() {}
+};
+
+WifiHidlEnvironment_1_3* gEnv = WifiHidlEnvironment_1_3::Instance();
+
+int main(int argc, char** argv) {
+    ::testing::AddGlobalTestEnvironment(gEnv);
+    ::testing::InitGoogleTest(&argc, argv);
+    gEnv->init(&argc, argv);
+    int status = RUN_ALL_TESTS();
+    LOG(INFO) << "Test result = " << status;
+    return status;
+}