mutateOperationOperandTypeSkip for new GROUPED_CONV_2D variant am: b35eb1eabc (0bcbde19) · Commits · e / os / android_hardware_interfaces

neuralnetworks/1.2/vts/functional/ValidateModel.cpp

+2 −0

Original line number	Original line	Diff line number	Diff line
	@@ -328,6 +328,7 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
	// - RANDOM_MULTINOMIAL's argument can be either TENSOR_FLOAT16 or TENSOR_FLOAT32.		// - RANDOM_MULTINOMIAL's argument can be either TENSOR_FLOAT16 or TENSOR_FLOAT32.
	// - CONV_2D filter type (arg 1) can be QUANT8_ASYMM or QUANT8_SYMM_PER_CHANNEL		// - 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		// - 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
	switch (operation.type) {		switch (operation.type) {
	case OperationType::LSH_PROJECTION: {		case OperationType::LSH_PROJECTION: {
	if (operand == operation.inputs[1]) {		if (operand == operation.inputs[1]) {
	@@ -347,6 +348,7 @@ static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, con
	return true;		return true;
	}		}
	} break;		} break;
			case OperationType::GROUPED_CONV_2D:
	case OperationType::DEPTHWISE_CONV_2D:		case OperationType::DEPTHWISE_CONV_2D:
	case OperationType::CONV_2D: {		case OperationType::CONV_2D: {
	if (operand == 1 && (type == OperandType::TENSOR_QUANT8_ASYMM \|\|		if (operand == 1 && (type == OperandType::TENSOR_QUANT8_ASYMM \|\|