Merge "Add TENSOR_QUANT8_ASYMM_SIGNED support for DEQUANTIZE" (019b0c47) · Commits · e / os / android_hardware_interfaces

neuralnetworks/1.3/vts/functional/ValidateModel.cpp

+3 −2

Original line number	Diff line number	Diff line
		@@ -323,8 +323,8 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
		// - CAST's argument can be any of TENSOR_(FLOAT16\|FLOAT32\|INT32\|QUANT8_ASYMM).
		// - RANDOM_MULTINOMIAL's argument can be either TENSOR_FLOAT16 or TENSOR_FLOAT32.
		// - DEQUANTIZE input can be any of
		// TENSOR_(QUANT8_ASYMM\|QUANT8_SYMM\|QUANT8_SYMM_PER_CHANNEL), output can
		// be of either TENSOR_FLOAT16 or TENSOR_FLOAT32.
		// TENSOR_(QUANT8_ASYMM\|QUANT8_ASYMM_SIGNED\|QUANT8_SYMM\|QUANT8_SYMM_PER_CHANNEL),
		// output can be of either TENSOR_FLOAT16 or TENSOR_FLOAT32.
		// - QUANTIZE input can be either TENSOR_FLOAT16 or TENSOR_FLOAT32
		// - CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
		// - DEPTHWISE_CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL
		@@ -365,6 +365,7 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
		case OperationType::DEQUANTIZE: {
		if (operand == operation.inputs[0] &&
		(type == OperandType::TENSOR_QUANT8_ASYMM \|\|
		type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED \|\|
		type == OperandType::TENSOR_QUANT8_SYMM \|\|
		type == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL)) {
		return true;