Lines Matching refs:model_

7303    int status = texport.ExportInit(model_.get()->graph_.name_, model_.get()->graph_.version_);
7313 …Net(export_kernels, tensors_, const_output_tensors_, output_tensor_name, model_.get(), quant_type);
7314 …et(export_kernels, tensors_, const_output_tensors_, out_put_tensor_name, model_.get(), quant_type);
7321 …std::all_of(model_->graph_.all_nodes_.begin(), model_->graph_.all_nodes_.end(), [](const LiteGraph…
7324        status = texport.SaveModel(model_.get(), destination);
7336 …e == MT_TRAIN) ? train_output_tensor_names_ : eval_output_tensor_names_, model_.get(), quant_type);
7338 …e == MT_TRAIN) ? train_output_tensor_names_ : eval_output_tensor_names_, model_.get(), quant_type);
7517 -    auto inputs = cb_data.model_->GetInputs();
7558 -  if (model_ != nullptr) {
7559 -    delete model_;
7595 -  model_ = new (std::nothrow) mindspore::Model();
7596 -  if (model_ == nullptr) {
7609 -  status = model_->Build(mindspore::GraphCell(*netWithLoss), optimizer, {input, label}, context, c…
7616 -  auto inputs = model_->GetInputs();
7746 -  auto inputs = model_->GetInputs();
7753 -  model_->SetTrainMode(true);
7754 -  model_->RunStep(nullptr, nullptr);
7755 -  model_->SetTrainMode(false);
7756 -  model_->Predict(inputs, &output, nullptr, nullptr);
7885 -  mindspore::Model *model_ = nullptr;