blob: 2f21ebfae3c15edfebb50ba46f8e6c093388890e [file] [log] [blame]
/*
* Copyright (C) 2017 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 "OperationsUtils.h"
#include "SimpleMath.h"
namespace android::nn::mean {
Result<Version> validate(const IOperationValidationContext* context) {
NN_RET_CHECK(context->getNumInputs() == 3 && context->getNumOutputs() == 1)
<< context->invalidInOutNumberMessage(3, 1);
const auto inputRank = context->getInputShape(0).dimensions.size();
NN_RET_CHECK_LE(inputRank, 4u)
<< "Unsupported input tensor rank for operation " << context->getOperationName();
auto inputType = context->getInputType(0);
Version version;
if (inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM) {
version = kVersionFeatureLevel2;
} else if (inputType == OperandType::TENSOR_FLOAT16) {
version = kVersionFeatureLevel3;
} else if (inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
version = kVersionFeatureLevel4;
} else {
NN_RET_CHECK_FAIL() << "Unsupported input tensor type for operation "
<< context->getOperationName();
}
std::vector<OperandType> inExpectedTypes = {inputType, OperandType::TENSOR_INT32,
OperandType::INT32};
std::vector<OperandType> outExpectedTypes = {inputType};
NN_TRY(context->validateOperationOperandTypes(inExpectedTypes, outExpectedTypes));
return version;
}
} // namespace android::nn::mean