diff --git a/audio/effect/2.0/xml/Android.bp b/audio/effect/2.0/xml/Android.bp
new file mode 100644
index 0000000..050425a
--- /dev/null
+++ b/audio/effect/2.0/xml/Android.bp
@@ -0,0 +1,8 @@
+genrule {
+    name: "audio_effects_conf_V2_0",
+    srcs: ["audio_effects_conf.xsd"],
+    out: [
+        "audio_effects_conf_V2_0.xsd",
+    ],
+    cmd: "cp -f $(in) $(genDir)/audio_effects_conf_V2_0.xsd",
+}
diff --git a/audio/effect/4.0/xml/Android.bp b/audio/effect/4.0/xml/Android.bp
new file mode 100644
index 0000000..27ffd02
--- /dev/null
+++ b/audio/effect/4.0/xml/Android.bp
@@ -0,0 +1,8 @@
+genrule {
+    name: "audio_effects_conf_V4_0",
+    srcs: ["audio_effects_conf.xsd"],
+    out: [
+        "audio_effects_conf_V4_0.xsd",
+    ],
+    cmd: "cp -f $(in) $(genDir)/audio_effects_conf_V4_0.xsd",
+}
diff --git a/audio/effect/5.0/xml/Android.bp b/audio/effect/5.0/xml/Android.bp
index eb2bcee..67b2f97 100644
--- a/audio/effect/5.0/xml/Android.bp
+++ b/audio/effect/5.0/xml/Android.bp
@@ -1,4 +1,3 @@
-
 xsd_config {
     name: "audio_effects_conf_V5_0",
     srcs: ["audio_effects_conf.xsd"],
diff --git a/audio/effect/6.0/xml/Android.bp b/audio/effect/6.0/xml/Android.bp
index 353686b..8d68672 100644
--- a/audio/effect/6.0/xml/Android.bp
+++ b/audio/effect/6.0/xml/Android.bp
@@ -1,4 +1,3 @@
-
 xsd_config {
     name: "audio_effects_conf_V6_0",
     srcs: ["audio_effects_conf.xsd"],
diff --git a/audio/effect/all-versions/vts/functional/Android.bp b/audio/effect/all-versions/vts/functional/Android.bp
index edc9076..4ab572e 100644
--- a/audio/effect/all-versions/vts/functional/Android.bp
+++ b/audio/effect/all-versions/vts/functional/Android.bp
@@ -31,16 +31,22 @@
     header_libs: [
         "android.hardware.audio.common.util@all-versions",
     ],
-    test_suites: ["general-tests"],
+    test_suites: ["general-tests", "vts-core"],
 }
 
 cc_test {
     name: "VtsHalAudioEffectV2_0TargetTest",
     defaults: ["VtsHalAudioEffectTargetTest_default"],
+    // Use test_config for vts-core suite.
+    // TODO(b/146104851): Add auto-gen rules and remove it.
+    test_config: "VtsHalAudioEffectV2_0TargetTest.xml",
     static_libs: [
         "android.hardware.audio.common@2.0",
         "android.hardware.audio.effect@2.0",
     ],
+    data: [
+        ":audio_effects_conf_V2_0",
+    ],
     cflags: [
         "-DMAJOR_VERSION=2",
         "-DMINOR_VERSION=0",
@@ -51,10 +57,16 @@
 cc_test {
     name: "VtsHalAudioEffectV4_0TargetTest",
     defaults: ["VtsHalAudioEffectTargetTest_default"],
+    // Use test_config for vts-core suite.
+    // TODO(b/146104851): Add auto-gen rules and remove it.
+    test_config: "VtsHalAudioEffectV4_0TargetTest.xml",
     static_libs: [
         "android.hardware.audio.common@4.0",
         "android.hardware.audio.effect@4.0",
     ],
+    data: [
+        ":audio_effects_conf_V4_0",
+    ],
     cflags: [
         "-DMAJOR_VERSION=4",
         "-DMINOR_VERSION=0",
@@ -65,10 +77,16 @@
 cc_test {
     name: "VtsHalAudioEffectV5_0TargetTest",
     defaults: ["VtsHalAudioEffectTargetTest_default"],
+    // Use test_config for vts-core suite.
+    // TODO(b/146104851): Add auto-gen rules and remove it.
+    test_config: "VtsHalAudioEffectV5_0TargetTest.xml",
     static_libs: [
         "android.hardware.audio.common@5.0",
         "android.hardware.audio.effect@5.0",
     ],
+    data: [
+        ":audio_effects_conf_V5_0",
+    ],
     cflags: [
         "-DMAJOR_VERSION=5",
         "-DMINOR_VERSION=0",
@@ -79,10 +97,16 @@
 cc_test {
     name: "VtsHalAudioEffectV6_0TargetTest",
     defaults: ["VtsHalAudioEffectTargetTest_default"],
+    // Use test_config for vts-core suite.
+    // TODO(b/146104851): Add auto-gen rules and remove it.
+    test_config: "VtsHalAudioEffectV6_0TargetTest.xml",
     static_libs: [
         "android.hardware.audio.common@6.0",
         "android.hardware.audio.effect@6.0",
     ],
+    data: [
+        ":audio_effects_conf_V6_0",
+    ],
     cflags: [
         "-DMAJOR_VERSION=6",
         "-DMINOR_VERSION=0",
diff --git a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp
index 3c712b5..a7fc35d 100644
--- a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp
+++ b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectTargetTest.cpp
@@ -28,14 +28,9 @@
 
 #include <common/all-versions/VersionUtils.h>
 
-#if MAJOR_VERSION <= 5
-#include <VtsHalHidlTargetTestBase.h>
-#include <VtsHalHidlTargetTestEnvBase.h>
-#elif MAJOR_VERSION >= 6
 #include <gtest/gtest.h>
 #include <hidl/GtestPrinter.h>
 #include <hidl/ServiceManagement.h>
-#endif
 
 using ::android::sp;
 using ::android::hardware::hidl_handle;
@@ -55,45 +50,12 @@
 #define ARRAY_SIZE(a) (sizeof(a) / sizeof(*(a)))
 #endif
 
-#if MAJOR_VERSION <= 5
-// For HAL versions 2..5 Vts Environment and Test base classes are used.
-// The tests are non-parametrized.
-#define EFFECT_TEST TEST_F
-
-// Test environment for Audio Effects Factory HIDL HAL.
-class AudioEffectsFactoryHidlEnvironment : public ::testing::VtsHalHidlTargetTestEnvBase {
-   public:
-    // get the test environment singleton
-    static AudioEffectsFactoryHidlEnvironment* Instance() {
-        static AudioEffectsFactoryHidlEnvironment* instance =
-            new AudioEffectsFactoryHidlEnvironment;
-        return instance;
-    }
-
-    virtual void registerTestServices() override { registerTestService<IEffectsFactory>(); }
-};
-
-// The main test class for Audio Effects Factory HIDL HAL.
-class AudioEffectsFactoryHidlTest : public ::testing::VtsHalHidlTargetTestBase {
-   public:
-    void SetUp() override {
-        effectsFactory = ::testing::VtsHalHidlTargetTestBase::getService<IEffectsFactory>(
-            AudioEffectsFactoryHidlEnvironment::Instance()->getServiceName<IEffectsFactory>());
-        ASSERT_NE(effectsFactory, nullptr);
-    }
-
-#elif MAJOR_VERSION >= 6
-// For HAL version 6 and above, standard GTest Environment and Test base classes are used.
-// The tests are parametrized by the IEffectsFactory instance name.
-#define EFFECT_TEST TEST_P
-
 class AudioEffectsFactoryHidlTest : public ::testing::TestWithParam<std::string> {
   public:
     void SetUp() override {
         effectsFactory = IEffectsFactory::getService(GetParam());
         ASSERT_NE(effectsFactory, nullptr);
     }
-#endif  // The rest of the AudioEffectsFactoryHidlTest class definition is the same.
     void TearDown() override { effectsFactory.clear(); }
 
    protected:
@@ -104,7 +66,7 @@
     sp<IEffectsFactory> effectsFactory;
 };
 
-EFFECT_TEST(AudioEffectsFactoryHidlTest, EnumerateEffects) {
+TEST_P(AudioEffectsFactoryHidlTest, EnumerateEffects) {
     description("Verify that EnumerateEffects returns at least one effect");
     Result retval = Result::NOT_INITIALIZED;
     size_t effectCount = 0;
@@ -118,7 +80,7 @@
     EXPECT_GT(effectCount, 0u);
 }
 
-EFFECT_TEST(AudioEffectsFactoryHidlTest, CreateEffect) {
+TEST_P(AudioEffectsFactoryHidlTest, CreateEffect) {
     description("Verify that an effect can be created via CreateEffect");
     bool gotEffect = false;
     Uuid effectUuid;
@@ -146,7 +108,7 @@
     EXPECT_NE(nullptr, effect.get());
 }
 
-EFFECT_TEST(AudioEffectsFactoryHidlTest, GetDescriptor) {
+TEST_P(AudioEffectsFactoryHidlTest, GetDescriptor) {
     description(
         "Verify that effects factory can provide an effect descriptor via "
         "GetDescriptor");
@@ -169,7 +131,7 @@
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectsFactoryHidlTest, DebugDumpInvalidArgument) {
+TEST_P(AudioEffectsFactoryHidlTest, DebugDumpInvalidArgument) {
     description("Verify that debugDump doesn't crash on invalid arguments");
 #if MAJOR_VERSION == 2
     Return<void> ret = effectsFactory->debugDump(hidl_handle());
@@ -191,17 +153,10 @@
     std::array<uint8_t, 6>{{0x11, 0x26, 0x0e, 0xb6, 0x3c, 0xf1}}};
 
 // The main test class for Audio Effect HIDL HAL.
-#if MAJOR_VERSION <= 5
-class AudioEffectHidlTest : public ::testing::VtsHalHidlTargetTestBase {
-   public:
-    void SetUp() override {
-        effectsFactory = ::testing::VtsHalHidlTargetTestBase::getService<IEffectsFactory>();
-#elif MAJOR_VERSION >= 6
 class AudioEffectHidlTest : public ::testing::TestWithParam<std::string> {
   public:
     void SetUp() override {
         effectsFactory = IEffectsFactory::getService(GetParam());
-#endif
         ASSERT_NE(nullptr, effectsFactory.get());
 
         findAndCreateEffect(getEffectType());
@@ -280,14 +235,14 @@
         static_cast<audio_channel_mask_t>(currentConfig.outputCfg.channels));
 }
 
-EFFECT_TEST(AudioEffectHidlTest, Close) {
+TEST_P(AudioEffectHidlTest, Close) {
     description("Verify that an effect can be closed");
     Return<Result> ret = effect->close();
     EXPECT_TRUE(ret.isOk());
     EXPECT_EQ(Result::OK, ret);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetDescriptor) {
+TEST_P(AudioEffectHidlTest, GetDescriptor) {
     description("Verify that an effect can return its own descriptor via GetDescriptor");
     Result retval = Result::NOT_INITIALIZED;
     Uuid actualType;
@@ -302,7 +257,7 @@
     EXPECT_EQ(getEffectType(), actualType);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetSetConfig) {
+TEST_P(AudioEffectHidlTest, GetSetConfig) {
     description(
         "Verify that it is possible to manipulate effect config via Get / "
         "SetConfig");
@@ -321,26 +276,26 @@
     EXPECT_EQ(Result::OK, ret2);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetConfigReverse) {
+TEST_P(AudioEffectHidlTest, GetConfigReverse) {
     description("Verify that GetConfigReverse does not crash");
     Return<void> ret = effect->getConfigReverse([&](Result, const EffectConfig&) {});
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetSupportedAuxChannelsConfigs) {
+TEST_P(AudioEffectHidlTest, GetSupportedAuxChannelsConfigs) {
     description("Verify that GetSupportedAuxChannelsConfigs does not crash");
     Return<void> ret = effect->getSupportedAuxChannelsConfigs(
         0, [&](Result, const hidl_vec<EffectAuxChannelsConfig>&) {});
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetAuxChannelsConfig) {
+TEST_P(AudioEffectHidlTest, GetAuxChannelsConfig) {
     description("Verify that GetAuxChannelsConfig does not crash");
     Return<void> ret = effect->getAuxChannelsConfig([&](Result, const EffectAuxChannelsConfig&) {});
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetAuxChannelsConfig) {
+TEST_P(AudioEffectHidlTest, SetAuxChannelsConfig) {
     description("Verify that SetAuxChannelsConfig does not crash");
     Return<Result> ret = effect->setAuxChannelsConfig(EffectAuxChannelsConfig());
     EXPECT_TRUE(ret.isOk());
@@ -379,7 +334,7 @@
 }  // namespace hardware
 }  // namespace android
 
-EFFECT_TEST(AudioEffectHidlTest, Reset) {
+TEST_P(AudioEffectHidlTest, Reset) {
     description("Verify that Reset preserves effect configuration");
     Result retval = Result::NOT_INITIALIZED;
     EffectConfig originalConfig;
@@ -404,7 +359,7 @@
     EXPECT_EQ(originalConfig, configAfterReset);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, DisableEnableDisable) {
+TEST_P(AudioEffectHidlTest, DisableEnableDisable) {
     description("Verify Disable -> Enable -> Disable sequence for an effect");
     Return<Result> ret = effect->disable();
     EXPECT_TRUE(ret.isOk());
@@ -417,14 +372,14 @@
     EXPECT_EQ(Result::OK, ret);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetDevice) {
+TEST_P(AudioEffectHidlTest, SetDevice) {
     description("Verify that SetDevice works for an output chain effect");
     Return<Result> ret = effect->setDevice(mkEnumBitfield(AudioDevice::OUT_SPEAKER));
     EXPECT_TRUE(ret.isOk());
     EXPECT_EQ(Result::OK, ret);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetAndGetVolume) {
+TEST_P(AudioEffectHidlTest, SetAndGetVolume) {
     description("Verify that SetAndGetVolume method works for an effect");
     uint32_t channelCount;
     getChannelCount(&channelCount);
@@ -440,7 +395,7 @@
     EXPECT_EQ(Result::OK, retval);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, VolumeChangeNotification) {
+TEST_P(AudioEffectHidlTest, VolumeChangeNotification) {
     description("Verify that effect accepts VolumeChangeNotification");
     uint32_t channelCount;
     getChannelCount(&channelCount);
@@ -454,32 +409,32 @@
     EXPECT_EQ(Result::OK, ret);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetAudioMode) {
+TEST_P(AudioEffectHidlTest, SetAudioMode) {
     description("Verify that SetAudioMode works for an effect");
     Return<Result> ret = effect->setAudioMode(AudioMode::NORMAL);
     EXPECT_TRUE(ret.isOk());
     EXPECT_EQ(Result::OK, ret);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetConfigReverse) {
+TEST_P(AudioEffectHidlTest, SetConfigReverse) {
     description("Verify that SetConfigReverse does not crash");
     Return<Result> ret = effect->setConfigReverse(EffectConfig(), nullptr, nullptr);
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetInputDevice) {
+TEST_P(AudioEffectHidlTest, SetInputDevice) {
     description("Verify that SetInputDevice does not crash");
     Return<Result> ret = effect->setInputDevice(mkEnumBitfield(AudioDevice::IN_BUILTIN_MIC));
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetAudioSource) {
+TEST_P(AudioEffectHidlTest, SetAudioSource) {
     description("Verify that SetAudioSource does not crash");
     Return<Result> ret = effect->setAudioSource(AudioSource::MIC);
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, Offload) {
+TEST_P(AudioEffectHidlTest, Offload) {
     description("Verify that calling Offload method does not crash");
     EffectOffloadParameter offloadParam;
     offloadParam.isOffload = false;
@@ -488,7 +443,7 @@
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, PrepareForProcessing) {
+TEST_P(AudioEffectHidlTest, PrepareForProcessing) {
     description("Verify that PrepareForProcessing method works for an effect");
     Result retval = Result::NOT_INITIALIZED;
     Return<void> ret = effect->prepareForProcessing(
@@ -497,7 +452,7 @@
     EXPECT_EQ(Result::OK, retval);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetProcessBuffers) {
+TEST_P(AudioEffectHidlTest, SetProcessBuffers) {
     description("Verify that SetProcessBuffers works for an effect");
     sp<IAllocator> ashmem = IAllocator::getService("ashmem");
     ASSERT_NE(nullptr, ashmem.get());
@@ -516,41 +471,41 @@
     EXPECT_EQ(Result::OK, ret2);
 }
 
-EFFECT_TEST(AudioEffectHidlTest, Command) {
+TEST_P(AudioEffectHidlTest, Command) {
     description("Verify that Command does not crash");
     Return<void> ret =
         effect->command(0, hidl_vec<uint8_t>(), 0, [&](int32_t, const hidl_vec<uint8_t>&) {});
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetParameter) {
+TEST_P(AudioEffectHidlTest, SetParameter) {
     description("Verify that SetParameter does not crash");
     Return<Result> ret = effect->setParameter(hidl_vec<uint8_t>(), hidl_vec<uint8_t>());
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetParameter) {
+TEST_P(AudioEffectHidlTest, GetParameter) {
     description("Verify that GetParameter does not crash");
     Return<void> ret =
         effect->getParameter(hidl_vec<uint8_t>(), 0, [&](Result, const hidl_vec<uint8_t>&) {});
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetSupportedConfigsForFeature) {
+TEST_P(AudioEffectHidlTest, GetSupportedConfigsForFeature) {
     description("Verify that GetSupportedConfigsForFeature does not crash");
     Return<void> ret = effect->getSupportedConfigsForFeature(
         0, 0, 0, [&](Result, uint32_t, const hidl_vec<uint8_t>&) {});
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, GetCurrentConfigForFeature) {
+TEST_P(AudioEffectHidlTest, GetCurrentConfigForFeature) {
     description("Verify that GetCurrentConfigForFeature does not crash");
     Return<void> ret =
         effect->getCurrentConfigForFeature(0, 0, [&](Result, const hidl_vec<uint8_t>&) {});
     EXPECT_TRUE(ret.isOk());
 }
 
-EFFECT_TEST(AudioEffectHidlTest, SetCurrentConfigForFeature) {
+TEST_P(AudioEffectHidlTest, SetCurrentConfigForFeature) {
     description("Verify that SetCurrentConfigForFeature does not crash");
     Return<Result> ret = effect->setCurrentConfigForFeature(0, hidl_vec<uint8_t>());
     EXPECT_TRUE(ret.isOk());
@@ -636,21 +591,21 @@
     ASSERT_EQ(Result::OK, retval);
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetNumBands) {
+TEST_P(EqualizerAudioEffectHidlTest, GetNumBands) {
     description("Verify that Equalizer effect reports at least one band");
     uint16_t numBands = 0;
     getNumBands(&numBands);
     EXPECT_GT(numBands, 0);
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetLevelRange) {
+TEST_P(EqualizerAudioEffectHidlTest, GetLevelRange) {
     description("Verify that Equalizer effect reports adequate band level range");
     int16_t minLevel = 0x7fff, maxLevel = 0;
     getLevelRange(&minLevel, &maxLevel);
     EXPECT_GT(maxLevel, minLevel);
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetSetBandLevel) {
+TEST_P(EqualizerAudioEffectHidlTest, GetSetBandLevel) {
     description("Verify that manipulating band levels works for Equalizer effect");
     uint16_t numBands = 0;
     getNumBands(&numBands);
@@ -679,7 +634,7 @@
     }
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetBandCenterFrequencyAndRange) {
+TEST_P(EqualizerAudioEffectHidlTest, GetBandCenterFrequencyAndRange) {
     description("Verify that Equalizer effect reports adequate band frequency range");
     uint16_t numBands = 0;
     getNumBands(&numBands);
@@ -694,7 +649,7 @@
     }
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetBandForFrequency) {
+TEST_P(EqualizerAudioEffectHidlTest, GetBandForFrequency) {
     description("Verify that Equalizer effect supports GetBandForFrequency correctly");
     uint16_t numBands = 0;
     getNumBands(&numBands);
@@ -723,14 +678,14 @@
     }
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetPresetNames) {
+TEST_P(EqualizerAudioEffectHidlTest, GetPresetNames) {
     description("Verify that Equalizer effect reports at least one preset");
     size_t presetCount;
     getPresetCount(&presetCount);
     EXPECT_GT(presetCount, 0u);
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetSetCurrentPreset) {
+TEST_P(EqualizerAudioEffectHidlTest, GetSetCurrentPreset) {
     description("Verify that manipulating the current preset for Equalizer effect");
     size_t presetCount;
     getPresetCount(&presetCount);
@@ -753,7 +708,7 @@
     }
 }
 
-EFFECT_TEST(EqualizerAudioEffectHidlTest, GetSetAllProperties) {
+TEST_P(EqualizerAudioEffectHidlTest, GetSetAllProperties) {
     description(
         "Verify that setting band levels and presets works via Get / "
         "SetAllProperties for Equalizer effect");
@@ -817,7 +772,7 @@
     sp<ILoudnessEnhancerEffect> enhancer;
 };
 
-EFFECT_TEST(LoudnessEnhancerAudioEffectHidlTest, GetSetTargetGain) {
+TEST_P(LoudnessEnhancerAudioEffectHidlTest, GetSetTargetGain) {
     description(
         "Verify that manipulating the target gain works for Loudness Enhancer "
         "effect");
@@ -838,21 +793,15 @@
     EXPECT_EQ(gain, actualGain);
 }
 
-#if MAJOR_VERSION <= 5
-int main(int argc, char** argv) {
-    ::testing::AddGlobalTestEnvironment(AudioEffectsFactoryHidlEnvironment::Instance());
-    ::testing::InitGoogleTest(&argc, argv);
-    AudioEffectsFactoryHidlEnvironment::Instance()->init(&argc, argv);
-    int status = RUN_ALL_TESTS();
-    LOG(INFO) << "Test result = " << status;
-    return status;
-}
-#elif MAJOR_VERSION >= 6
 INSTANTIATE_TEST_SUITE_P(
         EffectsFactory, AudioEffectsFactoryHidlTest,
         testing::ValuesIn(android::hardware::getAllHalInstanceNames(IEffectsFactory::descriptor)),
         android::hardware::PrintInstanceNameToString);
 INSTANTIATE_TEST_SUITE_P(
+        Equalizer, AudioEffectHidlTest,
+        testing::ValuesIn(android::hardware::getAllHalInstanceNames(IEffectsFactory::descriptor)),
+        android::hardware::PrintInstanceNameToString);
+INSTANTIATE_TEST_SUITE_P(
         Equalizer, EqualizerAudioEffectHidlTest,
         testing::ValuesIn(android::hardware::getAllHalInstanceNames(IEffectsFactory::descriptor)),
         android::hardware::PrintInstanceNameToString);
@@ -860,4 +809,3 @@
         LoudnessEnhancer, LoudnessEnhancerAudioEffectHidlTest,
         testing::ValuesIn(android::hardware::getAllHalInstanceNames(IEffectsFactory::descriptor)),
         android::hardware::PrintInstanceNameToString);
-#endif
diff --git a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV2_0TargetTest.xml b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV2_0TargetTest.xml
new file mode 100644
index 0000000..b6e720b
--- /dev/null
+++ b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV2_0TargetTest.xml
@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Copyright (C) 2019 The Android Open Source Project
+
+     Licensed under the Apache License, Version 2.0 (the "License");
+     you may not use this file except in compliance with the License.
+     You may obtain a copy of the License at
+
+          http://www.apache.org/licenses/LICENSE-2.0
+
+     Unless required by applicable law or agreed to in writing, software
+     distributed under the License is distributed on an "AS IS" BASIS,
+     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+     See the License for the specific language governing permissions and
+     limitations under the License.
+-->
+<configuration description="Runs VtsHalAudioEffectV2_0TargetTest.">
+    <option name="test-suite-tag" value="apct" />
+    <option name="test-suite-tag" value="apct-native" />
+
+    <target_preparer class="com.android.tradefed.targetprep.RootTargetPreparer">
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.RunCommandTargetPreparer">
+        <option name="run-command" value="stop"/>
+        <option name="run-command" value="setprop vts.native_server.on 1"/>
+        <option name="teardown-command" value="start"/>
+        <option name="teardown-command" value="setprop vts.native_server.on 0"/>
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.PushFilePreparer">
+        <option name="cleanup" value="true" />
+        <option name="push" value="VtsHalAudioEffectV2_0TargetTest->/data/local/tmp/VtsHalAudioEffectV2_0TargetTest" />
+        <option name="push" value="audio_effects_conf_V2_0.xsd->/data/local/tmp/audio_effects_conf_V2_0.xsd" />
+    </target_preparer>
+
+    <test class="com.android.tradefed.testtype.GTest" >
+        <option name="native-test-device-path" value="/data/local/tmp" />
+        <option name="module-name" value="VtsHalAudioEffectV2_0TargetTest" />
+    </test>
+</configuration>
diff --git a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV4_0TargetTest.xml b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV4_0TargetTest.xml
new file mode 100644
index 0000000..df826c8
--- /dev/null
+++ b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV4_0TargetTest.xml
@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Copyright (C) 2019 The Android Open Source Project
+
+     Licensed under the Apache License, Version 2.0 (the "License");
+     you may not use this file except in compliance with the License.
+     You may obtain a copy of the License at
+
+          http://www.apache.org/licenses/LICENSE-2.0
+
+     Unless required by applicable law or agreed to in writing, software
+     distributed under the License is distributed on an "AS IS" BASIS,
+     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+     See the License for the specific language governing permissions and
+     limitations under the License.
+-->
+<configuration description="Runs VtsHalAudioEffectV4_0TargetTest.">
+    <option name="test-suite-tag" value="apct" />
+    <option name="test-suite-tag" value="apct-native" />
+
+    <target_preparer class="com.android.tradefed.targetprep.RootTargetPreparer">
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.RunCommandTargetPreparer">
+        <option name="run-command" value="stop"/>
+        <option name="run-command" value="setprop vts.native_server.on 1"/>
+        <option name="teardown-command" value="start"/>
+        <option name="teardown-command" value="setprop vts.native_server.on 0"/>
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.PushFilePreparer">
+        <option name="cleanup" value="true" />
+        <option name="push" value="VtsHalAudioEffectV4_0TargetTest->/data/local/tmp/VtsHalAudioEffectV4_0TargetTest" />
+        <option name="push" value="audio_effects_conf_V4_0.xsd->/data/local/tmp/audio_effects_conf_V4_0.xsd" />
+    </target_preparer>
+
+    <test class="com.android.tradefed.testtype.GTest" >
+        <option name="native-test-device-path" value="/data/local/tmp" />
+        <option name="module-name" value="VtsHalAudioEffectV4_0TargetTest" />
+    </test>
+</configuration>
diff --git a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV5_0TargetTest.xml b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV5_0TargetTest.xml
new file mode 100644
index 0000000..14bdf43
--- /dev/null
+++ b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV5_0TargetTest.xml
@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Copyright (C) 2019 The Android Open Source Project
+
+     Licensed under the Apache License, Version 2.0 (the "License");
+     you may not use this file except in compliance with the License.
+     You may obtain a copy of the License at
+
+          http://www.apache.org/licenses/LICENSE-2.0
+
+     Unless required by applicable law or agreed to in writing, software
+     distributed under the License is distributed on an "AS IS" BASIS,
+     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+     See the License for the specific language governing permissions and
+     limitations under the License.
+-->
+<configuration description="Runs VtsHalAudioEffectV5_0TargetTest.">
+    <option name="test-suite-tag" value="apct" />
+    <option name="test-suite-tag" value="apct-native" />
+
+    <target_preparer class="com.android.tradefed.targetprep.RootTargetPreparer">
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.RunCommandTargetPreparer">
+        <option name="run-command" value="stop"/>
+        <option name="run-command" value="setprop vts.native_server.on 1"/>
+        <option name="teardown-command" value="start"/>
+        <option name="teardown-command" value="setprop vts.native_server.on 0"/>
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.PushFilePreparer">
+        <option name="cleanup" value="true" />
+        <option name="push" value="VtsHalAudioEffectV5_0TargetTest->/data/local/tmp/VtsHalAudioEffectV5_0TargetTest" />
+        <option name="push" value="audio_effects_conf_V5_0.xsd->/data/local/tmp/audio_effects_conf_V5_0.xsd" />
+    </target_preparer>
+
+    <test class="com.android.tradefed.testtype.GTest" >
+        <option name="native-test-device-path" value="/data/local/tmp" />
+        <option name="module-name" value="VtsHalAudioEffectV5_0TargetTest" />
+    </test>
+</configuration>
diff --git a/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV6_0TargetTest.xml b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV6_0TargetTest.xml
new file mode 100644
index 0000000..23adad0
--- /dev/null
+++ b/audio/effect/all-versions/vts/functional/VtsHalAudioEffectV6_0TargetTest.xml
@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Copyright (C) 2019 The Android Open Source Project
+
+     Licensed under the Apache License, Version 2.0 (the "License");
+     you may not use this file except in compliance with the License.
+     You may obtain a copy of the License at
+
+          http://www.apache.org/licenses/LICENSE-2.0
+
+     Unless required by applicable law or agreed to in writing, software
+     distributed under the License is distributed on an "AS IS" BASIS,
+     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+     See the License for the specific language governing permissions and
+     limitations under the License.
+-->
+<configuration description="Runs VtsHalAudioEffectV6_0TargetTest.">
+    <option name="test-suite-tag" value="apct" />
+    <option name="test-suite-tag" value="apct-native" />
+
+    <target_preparer class="com.android.tradefed.targetprep.RootTargetPreparer">
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.RunCommandTargetPreparer">
+        <option name="run-command" value="stop"/>
+        <option name="run-command" value="setprop vts.native_server.on 1"/>
+        <option name="teardown-command" value="start"/>
+        <option name="teardown-command" value="setprop vts.native_server.on 0"/>
+    </target_preparer>
+
+    <target_preparer class="com.android.tradefed.targetprep.PushFilePreparer">
+        <option name="cleanup" value="true" />
+        <option name="push" value="VtsHalAudioEffectV6_0TargetTest->/data/local/tmp/VtsHalAudioEffectV6_0TargetTest" />
+        <option name="push" value="audio_effects_conf_V6_0.xsd->/data/local/tmp/audio_effects_conf_V6_0.xsd" />
+    </target_preparer>
+
+    <test class="com.android.tradefed.testtype.GTest" >
+        <option name="native-test-device-path" value="/data/local/tmp" />
+        <option name="module-name" value="VtsHalAudioEffectV6_0TargetTest" />
+    </test>
+</configuration>
diff --git a/current.txt b/current.txt
index 1c459f7..6620b1e 100644
--- a/current.txt
+++ b/current.txt
@@ -574,11 +574,11 @@
 # ABI preserving changes to HALs during Android R
 b69a7615c508acf5c5201efd1bfa3262167874fc3594e2db5a3ff93addd8ac75 android.hardware.keymaster@4.0::IKeymasterDevice
 eb2fa0c883c2185d514be0b84c179b283753ef0c1b77b45b4f359bd23bba8b75 android.hardware.neuralnetworks@1.0::IPreparedModel
-f1109cbb10297b7429a11fab42afa912710b303c9bf20bd5cdb8bd57b9c84186 android.hardware.neuralnetworks@1.0::types
+8eac60e1f724d141c71c69f06d4544acb720a55dfbbcd97fa01bb3d25ee4e2f5 android.hardware.neuralnetworks@1.0::types
 5f6d3097ba84cb63c430787123f4de1b31c11f90b531b98eae9a8623a5ae962a android.hardware.neuralnetworks@1.1::types
 fb382e986c10b8fbb797a8546e8f9ea6d1107bfe6f3fb7e57f6bbbf1f807a906 android.hardware.neuralnetworks@1.2::IDevice
 40e71cd693de5b832325c5d8f081f2ff20a7ba2b89d401cee5b4b3eb0e241681 android.hardware.neuralnetworks@1.2::IPreparedModel
-2d5483fbf59d5fd2de94665a6df05da5c3d09de67561d0db5e9f09e59e9aea46 android.hardware.neuralnetworks@1.2::types
+7f7ef383268c95a1b8fe4e55c662bc806bb0ac11a154f6b049a113a44b0f024f android.hardware.neuralnetworks@1.2::types
 a785a57447a81e9c130eef6904c3a5c256076c6a04588c40620ebd6fa2660d77 android.hardware.radio@1.2::types
 1a6e2bd289f22931c526b21916910f1d4c436b7acb9556e4243de4ce8e6cc2e4 android.hardware.soundtrigger@2.0::ISoundTriggerHwCallback
 fd65298e1e09e0e3c781ab18305920d757dbe55a3b459ce17814ec5cf6dfee99 android.hardware.wifi@1.0::IWifiP2pIface
@@ -621,16 +621,16 @@
 9e59fffceed0dd72a9799e04505db5f777bbbea1af0695ba4107ef6d967c6fda android.hardware.neuralnetworks@1.3::IDevice
 258825966435b3ed08832055bb736d81516013e405f161d9ccde9a90cfcdde83 android.hardware.neuralnetworks@1.3::IPreparedModel
 94e803236398bed1febb11cc21051bc42ec003700139b099d6c479e02a7ca3c3 android.hardware.neuralnetworks@1.3::IPreparedModelCallback
-cf1d55e8c68300090747ab90b94c22e4c859b29c84ced68a317c595bb115eab2 android.hardware.neuralnetworks@1.3::types
+35668befe89fc7f84d58fc1dab7dd3e4d6067c7eeccbae154fe36cd964dfaef7 android.hardware.neuralnetworks@1.3::types
 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
 a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant
 44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface
 619fc9839ec6e369cfa9b28e3e9412e6885720ff8f9b5750c1b6ffb905120391 android.hardware.wifi.supplicant@1.3::ISupplicantStaIfaceCallback
 c9273429fcf98d797d3bb07fdba6f1be95bf960f9255cde169fd1ca4db85f856 android.hardware.wifi.supplicant@1.3::ISupplicantStaNetwork
 9b0a3ab6f4f74b971ed094426d8a443e29b512ff03e1ab50c07156396cdb2483 android.hardware.wifi.supplicant@1.3::types
-b91398c7475d9f6decb760f6e4721bab8bd588b6d36115d3048ebbfdf70ccf7b android.hardware.radio@1.5::types
+17f92261051ee7f08662a9d09a4a7af629551194018ff65855b3740fa22b6094 android.hardware.radio@1.5::types
 5ae0401fdaad9b85de7bebc5bdd7388a4ea661c46f1e4929341981b0540c67de android.hardware.radio@1.5::IRadio
-3afac66f21a33bc9c4b80481c7d5540038348651d9a7d8af64ea13610af138da android.hardware.radio@1.5::IRadioIndication
+bc59237dbd93949238081f762710552e76670cb648c0e198138551460ac54b1e android.hardware.radio@1.5::IRadioIndication
 f4888f9676890b43a459c6380f335fea7a6ad32ed3bafafeb018a88d6c0be8a4 android.hardware.radio@1.5::IRadioResponse
 55f0a15642869ec98a55ea0a5ac049d3e1a6245ff7750deb6bcb7182057eee83 android.hardware.radio.config@1.3::types
 b27ab0cd40b0b078cdcd024bfe1061c4c4c065f3519eeb9347fa359a3268a5ae android.hardware.radio.config@1.3::IRadioConfig
diff --git a/neuralnetworks/1.0/types.hal b/neuralnetworks/1.0/types.hal
index ba9d068..1175a30 100644
--- a/neuralnetworks/1.0/types.hal
+++ b/neuralnetworks/1.0/types.hal
@@ -261,8 +261,8 @@
      *      filter.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
@@ -290,7 +290,8 @@
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
      *      the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      * * 3: An {@link OperandType::INT32} scalar, specifying the implicit
@@ -355,8 +356,8 @@
      *      specifying the filter.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
@@ -384,8 +385,8 @@
      *      specifying the filter.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      * * 3: An {@link OperandType::INT32} scalar, specifying the implicit
@@ -492,8 +493,6 @@
      *
      * Supported value tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT32}
-     * * {@link OperandType::TENSOR_INT32}
-     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
      *
      * Supported value tensor rank: from 2
      *
@@ -556,10 +555,10 @@
      *      of output nodes.
      * * 2: A 1-D tensor, of shape [num_units], specifying the bias. For input
      *      tensor of {@link OperandType::TENSOR_FLOAT32}, the bias should
-     *      also be of {@link OperandType::TENSOR_FLOAT32}. For input tensor
-     *      of {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
-     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
-     *      bias_scale == input_scale * filter_scale.
+     *      also be of {@link OperandType::TENSOR_FLOAT32}.
+     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
      * * 3: An {@link OperandType::INT32} scalar, and has to be one of the
      *      {@link FusedActivationFunc} values. Specifies the activation to
      *      invoke on the result.
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index b111d96..e867120 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -375,8 +375,8 @@
      *      must be set to 0.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -425,7 +425,8 @@
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
      *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -523,8 +524,8 @@
      *      must be set to 3.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -569,8 +570,8 @@
      *      specifying the filter.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -705,8 +706,8 @@
      *
      * Supported value tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT32}
-     * * {@link OperandType::TENSOR_INT32}
-     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
      *
      * Supported value tensor rank: from 2
      *
@@ -772,10 +773,10 @@
      *      of output nodes.
      * * 2: A 1-D tensor, of shape [num_units], specifying the bias. For input
      *      tensor of {@link OperandType::TENSOR_FLOAT32}, the bias should
-     *      also be of {@link OperandType::TENSOR_FLOAT32}. For input tensor
-     *      of {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
-     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
-     *      bias_scale == input_scale * filter_scale.
+     *      also be of {@link OperandType::TENSOR_FLOAT32}.
+     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
      * * 3: An {@link OperandType::INT32} scalar, and has to be one of the
      *      {@link FusedActivationFunc} values. Specifies the activation to
      *      invoke on the result.
@@ -2659,7 +2660,8 @@
      *      order of the boxes corresponds with input0. For input0 of type
      *      {@link OperandType::TENSOR_QUANT8_ASYMM}, this tensor should be of
      *      {@link OperandType::TENSOR_QUANT16_ASYMM}, with zeroPoint of 0 and
-     *      scale of 0.125. Zero num_rois is supported for this tensor.
+     *      scale of 0.125.
+     *      Zero num_rois is supported for this tensor.
      * * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
      *      [num_rois], specifying the batch index of each box. Boxes with
      *      the same batch index are grouped together.
@@ -2686,6 +2688,7 @@
      *      [num_output_rois], specifying the score of each output box. The boxes
      *      are grouped by batches, but the sequential order in each batch is not
      *      guaranteed. For type of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      guaranteed. For type of {@link OperandType::TENSOR_QUANT8_ASYMM}
      *      the scale and zero point must be the same as input0.
      * * 1: A 2-D Tensor of the same {@link OperandType} as input1, with shape
      *      [num_output_rois, 4], specifying the coordinates of each
@@ -2703,7 +2706,7 @@
     BOX_WITH_NMS_LIMIT = 44,
 
     /**
-     * Casts a tensor to a new type.
+     * Casts a tensor to a type.
      *
      * This operation ignores the scale and zeroPoint of quanized tensors,
      * e.g. it treats a {@link OperandType::TENSOR_QUANT8_ASYMM} input
@@ -3141,8 +3144,8 @@
      *      {@link SymmPerChannelQuantParams}) must be set to 0.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
-     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale. For filter tensor
      *      of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3181,7 +3184,8 @@
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
      *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale. For filter tensor
      *      of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3661,21 +3665,24 @@
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
      *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
-     *      the scale and zeroPoint can be diffent from the input0 scale and zeroPoint.
+     *      the scales and zeroPoint can be different from input0 scale and zeroPoint.
      */
     PRELU = 71,
 
     /**
      * Quantizes the input tensor.
      *
-     * The formula is:
+     * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM} output tensor is:
      *
      *     output = max(0, min(255, round(input / scale) + zeroPoint)
      *
-     * Supported tensor {@link OperandType}:
+     * Supported input tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      *
+     * Supported output tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *
      * Supported tensor rank: from 1
      *
      * Inputs:
@@ -4325,15 +4332,15 @@
      *      dimension (SymmPerChannelQuantParams::channelDim) must be set to 0.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
-     *      {@link OperandType::TENSOR_FLOAT16}, the bias should be of the
-     *      same type. For input tensor of type
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
-     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
-     *      bias_scale == input_scale * filter_scale. For filter tensor of
-     *      {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
-     *      must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of
-     *      0 and bias_scale of 0. The actual scale of each value 'i' is equal
-     *      to bias_scale[i] = input_scale * filter_scale[i].
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the
+     *      same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
      * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
      *      the left, in the ‘width’ dimension.
      * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
@@ -4363,14 +4370,14 @@
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
      *      {@link OperandType::TENSOR_FLOAT16}, the bias should be of the
-     *      same type. For input tensor of type
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
-     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
-     *      bias_scale == input_scale * filter_scale. For filter tensor of
-     *      {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
-     *      must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of
-     *      0 and bias_scale of 0. The actual scale of each value 'i' is equal
-     *      to bias_scale[i] = input_scale * filter_scale[i].
+     *      same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
      * * 3: An {@link OperandType::TENSOR_INT32} tensor, specifying the output
      *      tensor shape.
      * * 4: An {@link OperandType::INT32} scalar, specifying the implicit
diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index 84c4813..b70bd1b 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -110,6 +110,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.3)
      *
      * Supported tensor rank: up to 4
      *
@@ -123,11 +124,13 @@
      * * 2: An {@link OperandType::INT32} scalar, and has to be one of the
      *      {@link FusedActivationFunc} values. Specifies the activation to
      *      invoke on the result.
+     *      For a {@link OperandType::TENSOR_INT32} tensor,
+     *      the {@link FusedActivationFunc} must be "NONE".
      *
      * Outputs:
      * * 0: The sum, a tensor of the same {@link OperandType} as input0.
      *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
      */
     ADD = @1.2::OperationType:ADD,
@@ -293,6 +296,18 @@
      * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
      * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
      *
+     * Available since HAL version 1.3:
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
      * [batch, height, width, channels]. Alternatively, the data layout could
@@ -313,8 +328,9 @@
      *      must be set to 0.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -363,7 +379,9 @@
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
      *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -443,6 +461,18 @@
      * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
      * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
      *
+     * Available since HAL version 1.3:
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
      * [batch, height, width, channels]. Alternatively, the data layout could
@@ -461,8 +491,9 @@
      *      must be set to 3.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -507,8 +538,9 @@
      *      specifying the filter.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32}
-     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      or {@link OperandType::TENSOR_FLOAT16} the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale.
      *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
@@ -569,6 +601,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -589,7 +622,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape [batch, height*block_size,
      *      width*block_size, depth/(block_size*block_size)].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     DEPTH_TO_SPACE = @1.2::OperationType:DEPTH_TO_SPACE,
@@ -605,6 +639,7 @@
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
      * * {@link OperandType::TENSOR_QUANT8_SYMM} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported output tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
@@ -642,9 +677,11 @@
      * and an error must be reported.
      *
      * Supported value tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.3)
      * * {@link OperandType::TENSOR_FLOAT32}
-     * * {@link OperandType::TENSOR_INT32}
-     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_INT32} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported value tensor rank: from 2
      *
@@ -658,7 +695,8 @@
      * * 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.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input1.
      */
     EMBEDDING_LOOKUP = @1.2::OperationType:EMBEDDING_LOOKUP,
@@ -693,6 +731,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: up to 4.
      *
@@ -710,10 +749,11 @@
      *      of output nodes.
      * * 2: A 1-D tensor, of shape [num_units], specifying the bias. For input
      *      tensor of {@link OperandType::TENSOR_FLOAT32}, the bias should
-     *      also be of {@link OperandType::TENSOR_FLOAT32}. For input tensor
-     *      of {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
-     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
-     *      bias_scale == input_scale * filter_scale.
+     *      also be of {@link OperandType::TENSOR_FLOAT32}.
+     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
      * * 3: An {@link OperandType::INT32} scalar, and has to be one of the
      *      {@link FusedActivationFunc} values. Specifies the activation to
      *      invoke on the result.
@@ -798,6 +838,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: up to 4
      * Tensors with rank less than 4 are only supported since HAL version 1.2.
@@ -814,6 +855,8 @@
      * * 0: A tensor of the same {@link OperandType} and same shape as input0.
      *      For {@link OperandType::TENSOR_QUANT8_ASYMM},
      *      the scale must be 1.f / 128 and the zeroPoint must be 128.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the scale must be 1.f / 128 and the zeroPoint must be 0.
      */
     L2_NORMALIZATION = @1.2::OperationType:L2_NORMALIZATION,
 
@@ -1507,6 +1550,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM} (since HAL version 1.2)
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -1549,7 +1593,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape
      *      [batches, new_height, new_width, depth].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     RESIZE_BILINEAR = @1.2::OperationType:RESIZE_BILINEAR,
@@ -1624,6 +1669,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: up to 4.
      * Tensors with rank other than 2 or 4 are only supported since HAL version 1.2.
@@ -1632,9 +1678,10 @@
      * * 0: A 2-D or 4-D tensor, specifying the tensor to be reshaped.
      *      Since HAL version 1.2, this tensor may be zero-sized.
      * * 1: A scalar, specifying the positive scaling factor for the exponent,
-     *      beta. If input0 is of {@link OperandType::TENSOR_FLOAT32} or
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the scalar must be of
-     *      {@link OperandType::FLOAT32}.
+     *      beta. If input0 is of {@link OperandType::TENSOR_FLOAT32},
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, the scalar
+     *      must be of {@link OperandType::FLOAT32}.
      *      If input0 is of {@link OperandType::TENSOR_FLOAT16}, then the
      *      scalar must be of {@link OperandType::FLOAT16}.
      * * 2: An optional {@link OperandType::INT32} scalar, default to -1,
@@ -1647,6 +1694,8 @@
      * * 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.
+     *      For {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the scale must be 1.f / 256 and the zeroPoint must be -128.
      */
     SOFTMAX = @1.2::OperationType:SOFTMAX,
 
@@ -1668,6 +1717,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -1688,7 +1738,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape [batches, height/block_size,
      *      width/block_size, depth_in*block_size*block_size].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     SPACE_TO_DEPTH = @1.2::OperationType:SPACE_TO_DEPTH,
@@ -1812,6 +1863,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -1830,7 +1882,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     BATCH_TO_SPACE_ND = @1.2::OperationType:BATCH_TO_SPACE_ND,
@@ -1925,6 +1978,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *   (full support since HAL version 1.2, see the output section)
      *
      * Supported tensor rank: up to 4
@@ -1947,7 +2001,8 @@
      *      of the padding:
      *          output0.dimension[i] =
      *              padding[i, 0] + input0.dimension[i] + padding[i, 1]
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      *
      *      NOTE: Before HAL version 1.2, the pad value for
@@ -1971,6 +2026,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *   (full support since HAL version 1.2, see the output section)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
@@ -1998,7 +2054,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      *
      *      NOTE: Before HAL version 1.2, the pad value for
@@ -2151,6 +2208,7 @@
      * * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: up to 4
      *
@@ -2162,7 +2220,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     TRANSPOSE = @1.2::OperationType:TRANSPOSE,
@@ -2192,6 +2251,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -2216,6 +2276,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -2257,7 +2318,8 @@
      *      and height, dw and dh is the log-scale relative correction factor
      *      for the width and height. For input0 of type
      *      {@link OperandType::TENSOR_QUANT16_ASYMM}, this tensor should be
-     *      of {@link OperandType::TENSOR_QUANT8_ASYMM}. Zero num_rois is
+     *      of {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}. Zero num_rois is
      *      supported for this tensor.
      * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
      *      [num_rois], specifying the batch index of each box. Boxes with
@@ -2612,6 +2674,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Inputs:
      * * 0: A 2-D Tensor of shape [num_rois, num_classes], specifying the score
@@ -2623,7 +2686,11 @@
      *      order of the boxes corresponds with input0. For input0 of type
      *      {@link OperandType::TENSOR_QUANT8_ASYMM}, this tensor should be of
      *      {@link OperandType::TENSOR_QUANT16_ASYMM}, with zeroPoint of 0 and
-     *      scale of 0.125. Zero num_rois is supported for this tensor.
+     *      scale of 0.125.
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      this tensor should be of {@link OperandType::TENSOR_QUANT16_ASYMM},
+     *      with zeroPoint of -128 and scale of 0.125.
+     *      Zero num_rois is supported for this tensor.
      * * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
      *      [num_rois], specifying the batch index of each box. Boxes with
      *      the same batch index are grouped together.
@@ -2650,6 +2717,8 @@
      *      [num_output_rois], specifying the score of each output box. The boxes
      *      are grouped by batches, but the sequential order in each batch is not
      *      guaranteed. For type of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      guaranteed. For type of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      or {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
      *      the scale and zero point must be the same as input0.
      * * 1: A 2-D Tensor of the same {@link OperandType} as input1, with shape
      *      [num_output_rois, 4], specifying the coordinates of each
@@ -2667,7 +2736,7 @@
     BOX_WITH_NMS_LIMIT = @1.2::OperationType:BOX_WITH_NMS_LIMIT,
 
     /**
-     * Casts a tensor to a new type.
+     * Casts a tensor to a type.
      *
      * This operation ignores the scale and zeroPoint of quanized tensors,
      * e.g. it treats a {@link OperandType::TENSOR_QUANT8_ASYMM} input
@@ -2678,6 +2747,14 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * Since HAL version 1.3, casting tensors of the following
+     * {@link OperandType} to the same {@link OperandType} is supported:
+     * * {@link OperandType::TENSOR_BOOL8}
+     * * {@link OperandType::TENSOR_INT32}
+     * * {@link OperandType::TENSOR_QUANT16_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT16_SYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
+     * * {@link OperandType::TENSOR_QUANT8_SYMM}
      *
      * Supported tensor rank: from 1
      *
@@ -2708,6 +2785,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: up to 4
      *
@@ -2722,7 +2800,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} and same shape as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     CHANNEL_SHUFFLE = @1.2::OperationType:CHANNEL_SHUFFLE,
@@ -2816,6 +2895,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -2861,6 +2941,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -2872,7 +2953,8 @@
      * Outputs:
      * * 0: An (n + 1)-D tensor with the same {@link OperandType} and data as
      *      input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     EXPAND_DIMS = @1.2::OperationType:EXPAND_DIMS,
@@ -2896,6 +2978,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -2910,7 +2993,8 @@
      *
      * Outputs:
      * * 0: An (n + k - 1)-D tensor with the same {@link OperandType} as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     GATHER = @1.2::OperationType:GATHER,
@@ -2931,6 +3015,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Inputs:
      * * 0: A 4-D Tensor specifying the score of each anchor at each
@@ -2948,11 +3033,13 @@
      *      dimensions is the channel dimension.
      * * 2: A 2-D Tensor of shape [num_anchors, 4], specifying the shape of each
      *      predefined anchor, with format [x1, y1, x2, y2]. For input0 of type
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, this tensor should be of
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, this tensor should be of
      *      {@link OperandType::TENSOR_QUANT16_SYMM}, with scale of 0.125.
      * * 3: A 2-D Tensor of shape [batches, 2], specifying the size of
      *      each image in the batch, with format [image_height, image_width].
-     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM}, this
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, this
      *      tensor should be of {@link OperandType::TENSOR_QUANT16_SYMM}, with
      *      scale of 0.125.
      * * 4: An {@link OperandType::FLOAT32} scalar, specifying the ratio
@@ -2979,7 +3066,8 @@
      *      [num_output_rois], specifying the score of each output box.
      *      The boxes are grouped by batches, but the sequential order in
      *      each batch is not guaranteed. For type of
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the scale and zero
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, the scale and zero
      *      point must be the same as input0.
      * * 1: A tensor of the same {@link OperandType} as input3, of shape
      *      [num_output_rois, 4], specifying the coordinates of each output
@@ -3002,6 +3090,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -3025,6 +3114,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -3081,12 +3171,23 @@
      * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
      * * * input.scale * filter.scale).
      *
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
      * * Quantized with symmetric per channel quantization for the filter:
      * * * {@link OperandType::TENSOR_QUANT8_ASYMM} for input, and output.
      * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
      * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
      * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
      *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
      * [batch, height, width, channels]. Alternatively, the data layout could
@@ -3105,8 +3206,9 @@
      *      {@link SymmPerChannelQuantParams}) must be set to 0.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
-     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale. For filter tensor
      *      of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3145,7 +3247,9 @@
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
      *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same
-     *      type. For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
      *      the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
      *      of 0 and bias_scale == input_scale * filter_scale. For filter tensor
      *      of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
@@ -3170,7 +3274,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape
      *      [batches, out_height, out_width, depth_out].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
      */
     GROUPED_CONV_2D = @1.2::OperationType:GROUPED_CONV_2D,
@@ -3190,6 +3295,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -3206,13 +3312,18 @@
      *      {@link OperandType::TENSOR_QUANT8_ASYMM}, this tensor should
      *      be of {@link OperandType::TENSOR_QUANT16_ASYMM}, with zeroPoint
      *      of 0 and scale of 0.125.
+     *      For input0 of type
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}, this tensor
+     *      should be of {@link OperandType::TENSOR_QUANT16_ASYMM}, with
+     *      zeroPoint of -128 and scale of 0.125.
      * * 2: An {@link OperandType::BOOL} scalar, set to true to specify
      *      NCHW data layout for input0. Set to false for NHWC.
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0, with shape
      *      [num_boxes, num_keypoints], specifying score of the keypoints.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} or
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint can be different from input0 scale and zeroPoint.
      * * 1: A tensor of the same {@link OperandType} as input1, with shape
      *      [num_boxes, num_keypoints, 2], specifying the location of
@@ -3283,6 +3394,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -3307,6 +3419,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -3434,6 +3547,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1.
      *
@@ -3446,7 +3560,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
      *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
      */
     MAXIMUM = @1.2::OperationType:MAXIMUM,
@@ -3459,6 +3574,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1.
      *
@@ -3471,7 +3587,8 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
      *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
      */
     MINIMUM = @1.2::OperationType:MINIMUM,
@@ -3503,6 +3620,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -3526,6 +3644,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: up to 4
      *
@@ -3543,7 +3662,8 @@
      *      pad value must be of {@link OperandType::FLOAT16}.
      *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the
      *      pad value must be of {@link OperandType::FLOAT32}.
-     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      For input tensor of {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
      *      the pad value must be of {@link OperandType::INT32}. The
      *      scale and zeroPoint are assumed to be the same as in input0.
      *
@@ -3555,7 +3675,8 @@
      *      of the padding:
      *          output0.dimension[i] =
      *              padding[i, 0] + input0.dimension[i] + padding[i, 1]
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     PAD_V2 = @1.2::OperationType:PAD_V2,
@@ -3614,6 +3735,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -3624,22 +3746,32 @@
      *
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
-     *      the scale and zeroPoint can be diffent from the input0 scale and zeroPoint.
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
+     *      the scales and zeroPoint can be different from input0 scale and zeroPoint.
      */
     PRELU = @1.2::OperationType:PRELU,
 
     /**
      * Quantizes the input tensor.
      *
-     * The formula is:
+     * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM} output tensor is:
      *
      *     output = max(0, min(255, round(input / scale) + zeroPoint)
      *
-     * Supported tensor {@link OperandType}:
+     * The formula for {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} output
+     * tensor is:
+     *
+     *     output = max(-128, min(127, round(input / scale) + zeroPoint)
+     *
+     * Supported input tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      *
+     * Supported output tensor {@link OperandType}:
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
+     *
      * Supported tensor rank: from 1
      *
      * Inputs:
@@ -3647,7 +3779,8 @@
      *
      * Outputs:
      * * 0: The output tensor of same shape as input0, but with
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}.
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM} or.
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}.
      */
     QUANTIZE = @1.2::OperationType:QUANTIZE,
 
@@ -3955,6 +4088,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -3993,7 +4127,8 @@
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0. The output
      *      shape is [num_rois, out_height, out_width, depth].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint can be different from the input0 scale and zeroPoint.
      */
     ROI_ALIGN = @1.2::OperationType:ROI_ALIGN,
@@ -4014,6 +4149,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -4024,7 +4160,8 @@
      * * 0: A 4-D tensor, specifying the feature map.
      * * 1: A 2-D Tensor of shape [num_rois, 4], specifying the locations of
      *      the regions of interest, each line with format [x1, y1, x2, y2].
-     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM},
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      this tensor should be of {@link OperandType::TENSOR_QUANT16_ASYMM},
      *      with zeroPoint of 0 and scale of 0.125.
      * * 2: An 1-D {@link OperandType::TENSOR_INT32} tensor, of shape
@@ -4044,7 +4181,8 @@
      * Outputs:
      * * 0: A tensor of the same {@link OperandType} as input0. The output
      *      shape is [num_rois, out_height, out_width, depth].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For input0 of type {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     ROI_POOLING = @1.2::OperationType:ROI_POOLING,
@@ -4133,6 +4271,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -4145,7 +4284,8 @@
      *
      * Outputs:
      * * 0: An n-D tensor of the same type as the input containing the slice.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      its scale and zeroPoint has to be same as the input0 scale and zeroPoint.
      */
     SLICE = @1.2::OperationType:SLICE,
@@ -4158,6 +4298,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -4170,7 +4311,8 @@
      *
      * Outputs:
      * * 0 ~ (num_splits - 1): Resulting subtensors.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     SPLIT = @1.2::OperationType:SPLIT,
@@ -4206,6 +4348,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -4216,7 +4359,8 @@
      *
      * Outputs:
      * * 0: A tiled tensor of the same {@link OperandType} and rank as `input`.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     TILE = @1.2::OperationType:TILE,
@@ -4232,6 +4376,7 @@
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: from 1
      *
@@ -4243,7 +4388,8 @@
      * Outputs:
      * * 0: An n-D tensor of the same type as the input, containing the k
      *      largest elements along each last dimensional slice.
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      * * 1: An n-D tensor of type {@link OperandType::TENSOR_INT32}
      *      containing the indices of values within the last dimension of input.
@@ -4278,6 +4424,18 @@
      * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
      * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
      *
+     * Available since HAL version 1.3:
+     * * Quantized signed (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, filter, and output.
+     * * * {@link OperandType::TENSOR_INT32} for bias (with scale set to
+     * * * input.scale * filter.scale).
+     *
+     * * Quantized signed with filter symmetric per channel quantization (since HAL version 1.3):
+     * * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} for input, and output.
+     * * * {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL} for filter.
+     * * * {@link OperandType::TENSOR_INT32} for bias (scale set to 0.0,
+     * * * each value scaling is separate and equal to input.scale * filter.scales[channel]).
+     *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
      * [batch, height, width, channels]. Alternatively, the data layout could
@@ -4295,15 +4453,16 @@
      *      dimension (SymmPerChannelQuantParams::channelDim) must be set to 0.
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
-     *      {@link OperandType::TENSOR_FLOAT16}, the bias should be of the
-     *      same type. For input tensor of type
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
-     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
-     *      bias_scale == input_scale * filter_scale. For filter tensor of
-     *      {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
-     *      must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of
-     *      0 and bias_scale of 0. The actual scale of each value 'i' is equal
-     *      to bias_scale[i] = input_scale * filter_scale[i].
+     *      {@link OperandType::TENSOR_FLOAT16}, the bias must be of the
+     *      same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
      * * 3: An {@link OperandType::INT32} scalar, specifying the padding on
      *      the left, in the ‘width’ dimension.
      * * 4: An {@link OperandType::INT32} scalar, specifying the padding on
@@ -4333,14 +4492,15 @@
      * * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
      *      tensor of type {@link OperandType::TENSOR_FLOAT32} or
      *      {@link OperandType::TENSOR_FLOAT16}, the bias should be of the
-     *      same type. For input tensor of type
-     *      {@link OperandType::TENSOR_QUANT8_ASYMM}, the bias should be
-     *      of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0 and
-     *      bias_scale == input_scale * filter_scale. For filter tensor of
-     *      {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL}, the bias
-     *      must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of
-     *      0 and bias_scale of 0. The actual scale of each value 'i' is equal
-     *      to bias_scale[i] = input_scale * filter_scale[i].
+     *      same type.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM}
+     *      and {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
+     *      the bias should be of {@link OperandType::TENSOR_INT32},
+     *      with zeroPoint of 0 and bias_scale == input_scale * filter_scale.
+     *      For filter tensor of {@link OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL},
+     *      the bias must be of {@link OperandType::TENSOR_INT32}, with zeroPoint of 0
+     *      and bias_scale of 0. The actual scale of each value 'i' is equal to
+     *      bias_scale[i] = input_scale * filter_scale[i].
      * * 3: An {@link OperandType::TENSOR_INT32} tensor, specifying the output
      *      tensor shape.
      * * 4: An {@link OperandType::INT32} scalar, specifying the implicit
@@ -4359,7 +4519,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape
      *      [batches, out_height, out_width, depth_out].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint can be different from inputs' scale and zeroPoint.
      */
     TRANSPOSE_CONV_2D = @1.2::OperationType:TRANSPOSE_CONV_2D,
@@ -4539,6 +4700,7 @@
      * * {@link OperandType::TENSOR_FLOAT16}
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
+     * * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} (since HAL version 1.3)
      *
      * Supported tensor rank: 4, with "NHWC" or "NCHW" data layout.
      * With the default data layout NHWC, the data is stored in the order of:
@@ -4578,7 +4740,8 @@
      * Outputs:
      * * 0: The output 4-D tensor, of shape
      *      [batches, new_height, new_width, depth].
-     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} tensor,
+     *      For a {@link OperandType::TENSOR_QUANT8_ASYMM} and
+     *      {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED} tensor,
      *      the scale and zeroPoint must be the same as input0.
      */
     RESIZE_NEAREST_NEIGHBOR = @1.2::OperationType:RESIZE_NEAREST_NEIGHBOR,
diff --git a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
index 65880b7..14ab897 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
@@ -330,6 +330,8 @@
         // - DEPTHWISE_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
         // - GROUPED_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
         // - TRANSPOSE_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
+        // - AXIS_ALIGNED_BBOX_TRANSFORM bounding boxes (arg 1) can be of
+        //     TENSOR_QUANT8_ASYMM or TENSOR_QUANT8_ASYMM_SIGNED.
         switch (operation.type) {
             case OperationType::LSH_PROJECTION: {
                 if (operand == operation.inputs[1]) {
@@ -385,6 +387,13 @@
                     return true;
                 }
             } break;
+            case OperationType::AXIS_ALIGNED_BBOX_TRANSFORM: {
+                if (operand == operation.inputs[1] &&
+                    (type == OperandType::TENSOR_QUANT8_ASYMM ||
+                     type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)) {
+                    return true;
+                }
+            } break;
             default:
                 break;
         }
diff --git a/radio/1.5/IRadioIndication.hal b/radio/1.5/IRadioIndication.hal
index 81452ab..879e9ad 100644
--- a/radio/1.5/IRadioIndication.hal
+++ b/radio/1.5/IRadioIndication.hal
@@ -30,4 +30,33 @@
      * @param enabled whether uiccApplications are enabled, or disabled
      */
     oneway uiccApplicationsEnablementChanged(RadioIndicationType type, bool enabled);
+
+    /**
+     * Report that Registration or a Location/Routing/Tracking Area update has failed.
+     *
+     * <p>Indicate whenever a registration procedure, including a location, routing, or tracking
+     * area update fails. This includes procedures that do not necessarily result in a change of
+     * the modem's registration status. If the modem's registration status changes, that is
+     * reflected in the onNetworkStateChanged() and subsequent get{Voice/Data}RegistrationState().
+     *
+     * @param cellIdentity the CellIdentity, which must include the globally unique identifier for
+     *        the cell (for example, all components of the CGI or ECGI).
+     * @param chosenPlmn a 5 or 6 digit alphanumeric PLMN (MCC|MNC) among those broadcast by the
+     *        cell that was chosen for the failed registration attempt.
+     * @param domain Domain::CS, Domain::PS, or both in case of a combined procedure.
+     * @param causeCode the primary failure cause code of the procedure.
+     *        For GSM/UMTS (MM), values are in TS 24.008 Sec 10.5.95
+     *        For GSM/UMTS (GMM), values are in TS 24.008 Sec 10.5.147
+     *        For LTE (EMM), cause codes are TS 24.301 Sec 9.9.3.9
+     *        For NR (5GMM), cause codes are TS 24.501 Sec 9.11.3.2
+     *        MAX_INT if this value is unused.
+     * @param additionalCauseCode the cause code of any secondary/combined procedure if appropriate.
+     *        For UMTS, if a combined attach succeeds for PS only, then the GMM cause code shall be
+     *        included as an additionalCauseCode.
+     *        For LTE (ESM), cause codes are in TS 24.301 9.9.4.4
+     *        MAX_INT if this value is unused.
+     */
+    oneway registrationFailed(
+            RadioIndicationType type, CellIdentity cellIdentity, string chosenPlmn,
+            bitfield<Domain> domain, int32_t causeCode, int32_t additionalCauseCode);
 };
diff --git a/radio/1.5/types.hal b/radio/1.5/types.hal
index 3c6e67a..2a2ba11 100644
--- a/radio/1.5/types.hal
+++ b/radio/1.5/types.hal
@@ -22,14 +22,22 @@
 import @1.1::RadioAccessSpecifier;
 import @1.1::ScanType;
 import @1.1::UtranBands;
+import @1.2::CellIdentityCdma;
+import @1.2::CellIdentityGsm;
+import @1.2::CellIdentityWcdma;
+import @1.2::CellIdentityTdscdma;
+import @1.2::CellIdentityLte;
 import @1.2::NetworkScanRequest;
 import @1.4::AccessNetwork;
 import @1.4::ApnTypes;
+import @1.4::CellIdentityNr;
 import @1.4::DataCallFailCause;
 import @1.4::DataConnActiveStatus;
 import @1.4::DataProfileInfo;
 import @1.4::PdpProtocolType;
 
+import android.hidl.safe_union@1.0::Monostate;
+
 /**
  * Defining signal strength type.
  */
@@ -394,3 +402,22 @@
     int32_t mtu;
 };
 
+enum Domain : int32_t {
+    /** Circuit-switched */
+    CS = 1 << 0,
+
+    /** Packet-switched */
+    PS = 1 << 1,
+};
+
+/** A union representing the CellIdentity of a single cell */
+safe_union CellIdentity {
+    Monostate noinit;
+
+    CellIdentityGsm gsm;
+    CellIdentityWcdma wcdma;
+    CellIdentityTdscdma tdscdma;
+    CellIdentityCdma cdma;
+    CellIdentityLte lte;
+    CellIdentityNr nr;
+};
diff --git a/radio/1.5/vts/functional/radio_hidl_hal_utils_v1_5.h b/radio/1.5/vts/functional/radio_hidl_hal_utils_v1_5.h
index ba11257..49a315d 100644
--- a/radio/1.5/vts/functional/radio_hidl_hal_utils_v1_5.h
+++ b/radio/1.5/vts/functional/radio_hidl_hal_utils_v1_5.h
@@ -739,6 +739,13 @@
 
     Return<void> modemReset(RadioIndicationType type,
                             const ::android::hardware::hidl_string& reason);
+
+    Return<void> registrationFailed(
+            RadioIndicationType type,
+            const ::android::hardware::radio::V1_5::CellIdentity& cellIdentity,
+            const ::android::hardware::hidl_string& chosenPlmn,
+            ::android::hardware::hidl_bitfield<::android::hardware::radio::V1_5::Domain> domain,
+            int32_t causeCode, int32_t additionalCauseCode);
 };
 
 // Test environment for Radio HIDL HAL.
diff --git a/radio/1.5/vts/functional/radio_indication.cpp b/radio/1.5/vts/functional/radio_indication.cpp
index acffbbe..2416605 100644
--- a/radio/1.5/vts/functional/radio_indication.cpp
+++ b/radio/1.5/vts/functional/radio_indication.cpp
@@ -333,3 +333,12 @@
                                                                      bool /*enabled*/) {
     return Void();
 }
+
+Return<void> RadioIndication_v1_5::registrationFailed(
+        RadioIndicationType /*type*/,
+        const ::android::hardware::radio::V1_5::CellIdentity& /*cellIdentity*/,
+        const ::android::hardware::hidl_string& /*chosenPlmn*/,
+        ::android::hardware::hidl_bitfield<::android::hardware::radio::V1_5::Domain> /*domain*/,
+        int32_t /*causeCode*/, int32_t /*additionalCauseCode*/) {
+    return Void();
+}
diff --git a/tests/extension/vibrator/aidl/Android.bp b/tests/extension/vibrator/aidl/Android.bp
index ef9b39b..42e0a92 100644
--- a/tests/extension/vibrator/aidl/Android.bp
+++ b/tests/extension/vibrator/aidl/Android.bp
@@ -1,7 +1,7 @@
 aidl_interface {
     // This is an example test interface showing how to add functionality
     // with setExtension/getExtension
-    name: "test-vintf-vibrator-ext",
+    name: "test-android.hardware.vibrator-ext",
     vendor_available: true,
     srcs: [
         // Using android.hardware as the package because this is in
@@ -18,7 +18,7 @@
     // This happens to use types from a core interface, so we import it, but
     // this won't always be needed.
     imports: [
-        "vintf-vibrator",
+        "android.hardware.vibrator",
     ],
 
     backend: {
diff --git a/tests/extension/vibrator/aidl/client/Android.bp b/tests/extension/vibrator/aidl/client/Android.bp
index f7b71f7..c707dbe 100644
--- a/tests/extension/vibrator/aidl/client/Android.bp
+++ b/tests/extension/vibrator/aidl/client/Android.bp
@@ -1,26 +1,24 @@
-
 // This example client is written as a test, but it is executing from a system
 // context. All this code would look the same if it was running in system
 // server for example.
 
 cc_test {
-    name: "test-vintf-vibrator-ext-client",
+    name: "test-android.hardware.vibrator-ext-client",
     srcs: [
-         // system code has the option to use the unstable C++ libbinder API
-         // or the NDK one. For maximum code portability, using the ndk client
-         // makes the most sense, but both are provided here as an example.
-         "test-cpp-client.cpp",
-         "test-ndk-client.cpp",
+        // system code has the option to use the unstable C++ libbinder API
+        // or the NDK one. For maximum code portability, using the ndk client
+        // makes the most sense, but both are provided here as an example.
+        "test-cpp-client.cpp",
+        "test-ndk-client.cpp",
     ],
     shared_libs: [
-         "libbinder",
-         "libutils",
-         "vintf-vibrator-cpp",
-         "test-vintf-vibrator-ext-cpp",
+        "libbinder",
+        "libutils",
+        "android.hardware.vibrator-cpp",
+        "test-android.hardware.vibrator-ext-cpp",
 
-         "libbinder_ndk",
-         "vintf-vibrator-ndk_platform",
-         "test-vintf-vibrator-ext-ndk_platform",
+        "libbinder_ndk",
+        "android.hardware.vibrator-ndk_platform",
+        "test-android.hardware.vibrator-ext-ndk_platform",
     ],
 }
-
diff --git a/tests/extension/vibrator/aidl/default/Android.bp b/tests/extension/vibrator/aidl/default/Android.bp
index 9869657..7c8fe1f 100644
--- a/tests/extension/vibrator/aidl/default/Android.bp
+++ b/tests/extension/vibrator/aidl/default/Android.bp
@@ -19,7 +19,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "vintf-vibrator-ndk_platform",
-        "test-vintf-vibrator-ext-ndk_platform",
+        "android.hardware.vibrator-ndk_platform",
+        "test-android.hardware.vibrator-ext-ndk_platform",
     ],
 }
diff --git a/vibrator/aidl/Android.bp b/vibrator/aidl/Android.bp
index 1eec1da..ae7f434 100644
--- a/vibrator/aidl/Android.bp
+++ b/vibrator/aidl/Android.bp
@@ -1,5 +1,5 @@
 aidl_interface {
-    name: "vintf-vibrator",
+    name: "android.hardware.vibrator",
     vendor_available: true,
     srcs: [
         "android/hardware/vibrator/*.aidl",
diff --git a/vibrator/aidl/default/Android.bp b/vibrator/aidl/default/Android.bp
index dc8867f..9e6d9cf 100644
--- a/vibrator/aidl/default/Android.bp
+++ b/vibrator/aidl/default/Android.bp
@@ -4,13 +4,13 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "vintf-vibrator-ndk_platform",
+        "android.hardware.vibrator-ndk_platform",
     ],
     export_include_dirs: ["include"],
     srcs: ["Vibrator.cpp"],
     visibility: [
-         ":__subpackages__",
-         "//hardware/interfaces/tests/extension/vibrator:__subpackages__",
+        ":__subpackages__",
+        "//hardware/interfaces/tests/extension/vibrator:__subpackages__",
     ],
 }
 
@@ -23,7 +23,7 @@
     shared_libs: [
         "libbase",
         "libbinder_ndk",
-        "vintf-vibrator-ndk_platform",
+        "android.hardware.vibrator-ndk_platform",
     ],
     static_libs: [
         "libvibratorexampleimpl",
diff --git a/vibrator/aidl/vts/Android.bp b/vibrator/aidl/vts/Android.bp
index 20d53c7..a01e432 100644
--- a/vibrator/aidl/vts/Android.bp
+++ b/vibrator/aidl/vts/Android.bp
@@ -9,7 +9,7 @@
         "libbinder",
     ],
     static_libs: [
-        "vintf-vibrator-cpp",
+        "android.hardware.vibrator-cpp",
     ],
     test_suites: [
         "vts-core",