forked from huawei/mindspore2022
70 lines
2.5 KiB
C++
70 lines
2.5 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 "predict/predict.h"
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#include <memory>
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#include <vector>
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#include <string>
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namespace mindspore {
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namespace predictmodel {
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void StepConvertGraph(const KernelGraphPtr &kernel_graph_ptr) {
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MS_LOG(INFO) << "start convert_graph step";
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// get kernel_graph. this graph can be origin or device, depends on which steps to persistence
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MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
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bool save_ms_model = MsContext::GetInstance()->save_ms_model_flag();
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if (save_ms_model) {
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if (kernel_graph_ptr->inputs().empty()) {
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return;
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}
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// set convert_mode: convert cpu info or convert Davnici
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executor::Kernel2Ms::GetInstance().set_convert_mode(executor::kConvertCpuMode);
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// convert kernel_graph to sub_ms_graph
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bool ret = executor::Kernel2Ms::GetInstance().KernelGraph2MsGraph(kernel_graph_ptr);
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if (!ret) {
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MS_LOG(WARNING) << "convert to mindsporeGraph failed";
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} else {
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MS_LOG(INFO) << "convert to Graph success";
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}
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}
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}
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void StepConvertWeight(const std::vector<tensor::TensorPtr> &inputs) {
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MS_LOG(INFO) << "start convert_input step";
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// get all inputs tensor
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bool save_ms_model = MsContext::GetInstance()->save_ms_model_flag();
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std::string save_path = MsContext::GetInstance()->save_ms_model_path();
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if (save_ms_model) {
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if (inputs.empty()) {
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return;
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}
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MS_LOG(INFO) << "save ms model is true to path " << save_path;
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if (!executor::Kernel2Ms::GetInstance().KernelInput2MS(inputs)) {
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MS_LOG(WARNING) << "convert mindspore kernel input failed";
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}
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auto new_ms_graph_ptr = std::make_shared<mindspore::predict::GraphDefT>();
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bool ret = executor::Kernel2Ms::GetInstance().SaveDeviceModel(new_ms_graph_ptr, save_path);
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if (!ret) {
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MS_LOG(WARNING) << "convert to mindsporeGraph failed";
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} else {
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MS_LOG(INFO) << "save ms model success";
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}
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}
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}
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} // namespace predictmodel
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} // namespace mindspore
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