forked from huawei/mindspore2022
55 lines
1.8 KiB
C++
55 lines
1.8 KiB
C++
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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 "minddata/dataset/include/execute.h"
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#include "minddata/dataset/include/de_tensor.h"
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#include "minddata/dataset/include/tensor.h"
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#include "minddata/dataset/kernels/tensor_op.h"
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namespace mindspore {
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namespace dataset {
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namespace api {
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Execute::Execute(const std::shared_ptr<TensorOperation> &op) : op_(std::move(op)) {}
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std::shared_ptr<tensor::MSTensor> Execute::operator()(std::shared_ptr<tensor::MSTensor> input) {
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// Build the op
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if (op_ == nullptr) {
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MS_LOG(ERROR) << "Input TensorOperation is not valid";
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return nullptr;
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}
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std::shared_ptr<Tensor> de_input = std::dynamic_pointer_cast<tensor::DETensor>(input)->tensor();
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if (de_input == nullptr) {
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MS_LOG(ERROR) << "Input Tensor is not valid";
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return nullptr;
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}
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std::shared_ptr<TensorOp> transform = op_->Build();
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std::shared_ptr<Tensor> de_output;
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Status rc = transform->Compute(de_input, &de_output);
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if (rc.IsError()) {
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// execution failed
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MS_LOG(ERROR) << "Operation execution failed : " << rc.ToString();
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return nullptr;
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}
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return std::make_shared<tensor::DETensor>(std::move(de_output));
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}
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} // namespace api
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} // namespace dataset
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} // namespace mindspore
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