release-request-946c768b-83eb-4b7b-83e7-5737856fa8ec-for-git_oc-mr1-release-43... (d6094d30) · Commits · e / os / android_hardware_interfaces

audio/2.0/vts/functional/ValidateAudioConfiguration.cpp

+0 −4

Original line number	Diff line number	Diff line
		@@ -24,13 +24,9 @@ TEST(CheckConfig, audioPolicyConfigurationValidation) {
		const char* possibleConfigLocations[] = {"/odm/etc", "/vendor/etc", "/system/etc"};
		const char* configSchemaPath = "/data/local/tmp/audio_policy_configuration.xsd";

		bool found = false;
		for (std::string folder : possibleConfigLocations) {
		const auto configPath = folder + '/' + configName;
		if (access(configPath.c_str(), R_OK) == 0) {
		ASSERT_FALSE(found) << "Multiple " << configName << " found in "
		<< ::testing::PrintToString(possibleConfigLocations);
		found = true;
		ASSERT_VALID_XML(configPath.c_str(), configSchemaPath);
		}
		}

+17 −0

Original line number	Diff line number	Diff line
		@@ -92,6 +92,23 @@ public:
		bool writeQueue(bool* outQueueChanged, uint32_t* outCommandLength,
		hidl_vec<hidl_handle>* outCommandHandles)
		{
		// After data are written to the queue, it may not be read by the
		// remote reader when
		//
		// - the writer does not send them (because of other errors)
		// - the hwbinder transaction fails
		// - the reader does not read them (because of other errors)
		//
		// Discard the stale data here.
		size_t staleDataSize = mQueue ? mQueue->availableToRead() : 0;
		if (staleDataSize > 0) {
		ALOGW("discarding stale data from message queue");
		CommandQueueType::MemTransaction tx;
		if (mQueue->beginRead(staleDataSize, &tx)) {
		mQueue->commitRead(staleDataSize);
		}
		}

		// write data to queue, optionally resizing it
		if (mQueue && (mDataMaxSize <= mQueue->getQuantumCount())) {
		if (!mQueue->write(mData.get(), mDataWritten)) {

+37 −32

Original line number	Diff line number	Diff line
		@@ -44,38 +44,43 @@ enum OperandType : uint32_t {
		enum OperationType : uint32_t {
		OEM_OPERATION = 0,
		ADD = 1,
		AVERAGE_POOL = 2,
		CAST = 3,
		CONCATENATION = 4,
		CONV = 5,
		DEPTHWISE_CONV = 6,
		DEPTH_TO_SPACE = 7,
		DEQUANTIZE = 8,
		EMBEDDING_LOOKUP = 9,
		FAKE_QUANT = 10,
		FLOOR = 11,
		FULLY_CONNECTED = 12,
		GATHER = 13,
		HASHTABLE_LOOKUP = 14,
		L2_NORMALIZATION = 15,
		L2_POOL = 16,
		LOCAL_RESPONSE_NORMALIZATION = 17,
		LOGISTIC = 18,
		LSH_PROJECTION = 19,
		LSTM = 20,
		MAX_POOL = 21,
		MUL = 22,
		RELU = 23,
		RELU1 = 24,
		RELU6 = 25,
		RESHAPE = 26,
		RESIZE_BILINEAR = 27,
		RNN = 28,
		SOFTMAX = 29,
		SPACE_TO_DEPTH = 30,
		SPLIT = 31,
		SVDF = 32,
		TANH = 33,
		AVERAGE_POOL_2D = 2,
		CONCATENATION = 3,
		CONV_2D = 4,
		DEPTHWISE_CONV_2D = 5,
		DEPTH_TO_SPACE = 6,
		DEQUANTIZE = 7,
		EMBEDDING_LOOKUP = 8,
		FAKE_QUANT = 9,
		FLOOR = 10,
		FULLY_CONNECTED = 11,
		HASHTABLE_LOOKUP = 12,
		L2_NORMALIZATION = 13,
		L2_POOL_2D = 14,
		LOCAL_RESPONSE_NORMALIZATION = 15,
		LOGISTIC = 16,
		LSH_PROJECTION = 17,
		LSTM = 18,
		MAX_POOL_2D = 19,
		MUL = 20,
		RELU = 21,
		RELU1 = 22,
		RELU6 = 23,
		RESHAPE = 24,
		RESIZE_BILINEAR = 25,
		RNN = 26,
		SOFTMAX = 27,
		SPACE_TO_DEPTH = 28,
		SVDF = 29,
		TANH = 30,
		};

		// Fused activation functions
		enum FusedActivationFunc : int32_t {
		NONE = 0,
		RELU = 1,
		RELU1 = 2,
		RELU6 = 3,
		};

		// Two special values that can be used instead of a regular poolIndex.

+1 −1

Original line number	Diff line number	Diff line
		@@ -150,7 +150,7 @@ Model createTestModel() {
		std::vector<uint8_t> operandValues(
		reinterpret_cast<const uint8_t*>(operand2Data.data()),
		reinterpret_cast<const uint8_t*>(operand2Data.data()) + size);
		int32_t activation[1] = {0};
		int32_t activation[1] = {static_cast<int32_t>(FusedActivationFunc::NONE)};
		operandValues.insert(operandValues.end(), reinterpret_cast<const uint8_t*>(&activation[0]),
		reinterpret_cast<const uint8_t*>(&activation[1]));

+1 −0

Original line number	Diff line number	Diff line
		@@ -31,6 +31,7 @@ using ::android::hardware::neuralnetworks::V1_0::IDevice;
		using ::android::hardware::neuralnetworks::V1_0::IPreparedModel;
		using ::android::hardware::neuralnetworks::V1_0::Capabilities;
		using ::android::hardware::neuralnetworks::V1_0::DeviceStatus;
		using ::android::hardware::neuralnetworks::V1_0::FusedActivationFunc;
		using ::android::hardware::neuralnetworks::V1_0::Model;
		using ::android::hardware::neuralnetworks::V1_0::OperationType;
		using ::android::hardware::neuralnetworks::V1_0::PerformanceInfo;