change log level in pipeline_ge
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a06853ccdb
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@ -227,10 +227,12 @@ bool AddDFGraph(const std::map<std::string, ExecutorInfoPtr>& info, const py::di
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(void)DfGraphManager::GetInstance().AddGraph(phase, convertor.GetComputeGraph());
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}
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(void)DfGraphManager::GetInstance().AddGraph(init_graph, convertor.GetInitGraph());
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(void)DfGraphManager::GetInstance().AddGraph(checkpoint_name, convertor.GetSaveCheckpointGraph());
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(void)DfGraphManager::GetInstance().AddGraph(BROADCAST_GRAPH_NAME, convertor.GetBroadcastGraph());
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DfGraphManager::GetInstance().SetAnfGraph(checkpoint_name, anf_graph);
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Status ret = DfGraphManager::GetInstance().AddGraph(checkpoint_name, convertor.GetSaveCheckpointGraph());
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if (ret == Status::SUCCESS) {
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DfGraphManager::GetInstance().SetAnfGraph(checkpoint_name, anf_graph);
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}
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return true;
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}
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@ -389,8 +391,7 @@ std::shared_ptr<py::object> DoExecGraph(const FuncGraphPtr& graph, const std::ve
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const std::string& phase) {
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std::vector<GeTensorPtr> ge_tensors = TransformUtil::ConvertInputTensors(inputs, kOpFormat_NCHW);
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if (ge_tensors.size() != inputs.size()) {
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MS_LOG(ERROR) << "Args convert to ge tensor error";
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return nullptr;
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MS_LOG(EXCEPTION) << "Convert me args to ge tensor error.";
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}
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std::vector<GeTensorPtr> ge_outputs;
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@ -401,8 +402,7 @@ std::shared_ptr<py::object> DoExecGraph(const FuncGraphPtr& graph, const std::ve
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auto graph_runner = DfGraphManager::GetInstance().GetGraphRunner();
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if (graph_runner == nullptr) {
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MS_LOG(ERROR) << "Can not found GraphRunner";
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return nullptr;
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MS_LOG(EXCEPTION) << "Can not found GraphRunner.";
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}
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{
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@ -419,7 +419,7 @@ std::shared_ptr<py::object> DoExecGraph(const FuncGraphPtr& graph, const std::ve
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std::vector<MeTensorPtr> me_outputs = TransformUtil::ConvertGeTensors(ge_outputs);
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if (me_outputs.size() != ge_outputs.size()) {
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MS_LOG(ERROR) << "Convert output Ge tensor to Me tensor failed";
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MS_LOG(WARNING) << "Convert output Ge tensor to Me tensor failed";
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}
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py::tuple outputs(me_outputs.size());
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