blob: e97a302b18b144f5446b96f1a9e7a15bdc7139df [file] [log] [blame]
/*
* Copyright (C) 2022 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 "ArithmeticOperationConverter.h"
#include <vector>
#include "OperationConverterResolver.h"
#include "SubGraphContext.h"
namespace android {
namespace nn {
Result<std::vector<int32_t>> ArithmeticOperationConverterBase::getArithmeticInputs(
const Operation& operation, SubGraphContext* context) const {
NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kInput1TensorIdx]));
NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kInput2TensorIdx]));
std::vector<int32_t> inputs{
context->getTensorIdxFromOperandIdx(operation.inputs[kInput1TensorIdx]),
context->getTensorIdxFromOperandIdx(operation.inputs[kInput2TensorIdx])};
return inputs;
}
Result<std::vector<int32_t>> ArithmeticOperationConverterBase::getArithmeticOutputs(
const Operation& operation, SubGraphContext* context) const {
NN_TRY(context->createTensorFlatbufferFromOperand(operation.outputs[kOutputTensorIdx]));
std::vector<int32_t> outputs{
context->getTensorIdxFromOperandIdx(operation.outputs[kOutputTensorIdx])};
return outputs;
}
} // namespace nn
} // namespace android