blob: 535587552759ac8d8913fb08cd056b0c4c113a13 [file] [log] [blame]
/*
* Copyright (C) 2018 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.
*/
#include <vector>
#include "MaximumMinimum.h"
#include "OperationsValidationUtils.h"
namespace android::nn {
namespace maximum_minimum {
Result<Version> validate(const IOperationValidationContext* context) {
NN_RET_CHECK(context->getNumInputs() == 2 && context->getNumOutputs() == 1)
<< context->invalidInOutNumberMessage(2, 1);
std::vector<OperandType> inExpectedTypes;
std::vector<OperandType> outExpectedTypes;
OperandType inputType = context->getInputType(0);
if (inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 ||
inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM ||
inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
inExpectedTypes = {inputType, inputType};
outExpectedTypes = {inputType};
} else {
NN_RET_CHECK_FAIL() << "Unsupported input tensor type for operation "
<< context->getOperationName();
}
Version version;
if (inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
version = kVersionFeatureLevel4;
} else {
version = kVersionFeatureLevel3;
}
NN_TRY(context->validateOperationOperandTypes(inExpectedTypes, outExpectedTypes));
return version;
}
} // namespace maximum_minimum
NN_DEFINE_VALIDATION_FUNCTION(MAXIMUM, maximum_minimum::validate);
NN_DEFINE_VALIDATION_FUNCTION(MINIMUM, maximum_minimum::validate);
} // namespace android::nn