| /* |
| * 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 |