Add new OperandType TENSOR_QUANT16_ASYMM. (7415376d) · Commits · e / os / android_hardware_interfaces

neuralnetworks/1.2/vts/functional/ValidateModel.cpp

+5 −0

Original line number	Diff line number	Diff line
		@@ -161,6 +161,7 @@ static uint32_t getInvalidRank(OperandType type) {
		case OperandType::TENSOR_FLOAT32:
		case OperandType::TENSOR_INT32:
		case OperandType::TENSOR_QUANT8_ASYMM:
		case OperandType::TENSOR_QUANT16_ASYMM:
		case OperandType::TENSOR_QUANT16_SYMM:
		case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
		return 0;
		@@ -199,6 +200,7 @@ static float getInvalidScale(OperandType type) {
		case OperandType::TENSOR_INT32:
		return -1.0f;
		case OperandType::TENSOR_QUANT8_ASYMM:
		case OperandType::TENSOR_QUANT16_ASYMM:
		case OperandType::TENSOR_QUANT16_SYMM:
		return 0.0f;
		default:
		@@ -233,6 +235,8 @@ static std::vector<int32_t> getInvalidZeroPoints(OperandType type) {
		return {1};
		case OperandType::TENSOR_QUANT8_ASYMM:
		return {-1, 256};
		case OperandType::TENSOR_QUANT16_ASYMM:
		return {-1, 65536};
		case OperandType::TENSOR_QUANT16_SYMM:
		return {-32769, -1, 1, 32768};
		default:
		@@ -288,6 +292,7 @@ static void mutateOperand(Operand* operand, OperandType type) {
		newOperand.zeroPoint = 0;
		break;
		case OperandType::TENSOR_QUANT8_ASYMM:
		case OperandType::TENSOR_QUANT16_ASYMM:
		case OperandType::TENSOR_QUANT16_SYMM:
		newOperand.dimensions =
		operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});