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@ -171,7 +171,7 @@ class Impl {
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graphStatus InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format,
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bool is_dynamic_input);
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void SetRtSocVersion();
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void UpdateThreadContext();
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public:
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ge::GeGenerator generator_;
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std::map<std::string, std::string> options_;
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@ -225,8 +225,6 @@ graphStatus Impl::Init(const std::map<std::string, std::string> &options) {
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return ret;
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}
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GetThreadLocalContext().SetGlobalOption(GetMutableGlobalOptions());
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GetThreadLocalContext().SetGraphOption(options_);
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std::string build_mode = (options_.find(BUILD_MODE) == options_.end() || options_[BUILD_MODE] == BUILD_MODE_NORMAL)
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? "" : options_[BUILD_MODE];
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options_[BUILD_MODE] = build_mode;
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@ -286,7 +284,7 @@ graphStatus Impl::Init(const std::map<std::string, std::string> &options) {
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ge::PrintOptionMap(options_, "ge option");
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SetRtSocVersion();
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UpdateThreadContext();
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// 3. init generator with options_
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ret = generator_.Initialize(options_, omg_context_);
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if (ret != GRAPH_SUCCESS) {
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@ -310,6 +308,11 @@ void Impl::SetRtSocVersion() {
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}
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}
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void Impl::UpdateThreadContext() {
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GetThreadLocalContext().SetGlobalOption(GetMutableGlobalOptions());
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GetThreadLocalContext().SetGraphOption(options_);
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}
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graphStatus Impl::CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs) {
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auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
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GE_CHECK_NOTNULL(compute_graph);
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@ -333,13 +336,15 @@ graphStatus Impl::CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTe
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data_shape = tensor.GetShape();
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GELOGI("Data op get shape from InputDesc in ge ir graph.");
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}
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// If user point input format, do work for all data ops; else do according to tensor_desc
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auto data_format = omg_context_.format != domi::DOMI_TENSOR_ND ?
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ge::TypeUtils::DomiFormatToFormat(omg_context_.format) : tensor.GetFormat();
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ge::DataType data_type = tensor.GetDataType();
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string data_type_str = ge::TypeUtils::DataTypeToSerialString(data_type);
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GELOGI("Data op get data type:%s from InputDesc in ge ir graph.", data_type_str.c_str());
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ge::GeTensor inputTensor;
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ge::GeTensorDesc desc(data_shape, ge::Format(omg_context_.format), data_type);
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ge::GeTensorDesc desc(data_shape, ge::Format(data_format), data_type);
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inputTensor.SetTensorDesc(desc);
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inputs.push_back(inputTensor);
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}
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