46 lines
1.7 KiB
C++
46 lines
1.7 KiB
C++
/*
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* Copyright (C) 2022 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "ArithmeticOperationConverter.h"
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#include <vector>
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#include "OperationConverterResolver.h"
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#include "SubGraphContext.h"
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namespace android {
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namespace nn {
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Result<std::vector<int32_t>> ArithmeticOperationConverterBase::getArithmeticInputs(
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const Operation& operation, SubGraphContext* context) const {
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NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kInput1TensorIdx]));
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NN_TRY(context->createTensorFlatbufferFromOperand(operation.inputs[kInput2TensorIdx]));
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std::vector<int32_t> inputs{
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context->getTensorIdxFromOperandIdx(operation.inputs[kInput1TensorIdx]),
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context->getTensorIdxFromOperandIdx(operation.inputs[kInput2TensorIdx])};
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return inputs;
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}
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Result<std::vector<int32_t>> ArithmeticOperationConverterBase::getArithmeticOutputs(
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const Operation& operation, SubGraphContext* context) const {
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NN_TRY(context->createTensorFlatbufferFromOperand(operation.outputs[kOutputTensorIdx]));
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std::vector<int32_t> outputs{
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context->getTensorIdxFromOperandIdx(operation.outputs[kOutputTensorIdx])};
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return outputs;
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}
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} // namespace nn
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} // namespace android
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