![]() ![]() Original InterfaceĬhange: The file_format parameter is changed from AIR to no default value.ĭescription: If file_format is not set in the original mode, you need to set file_format additionally. t_context(mode=PYNATIVE_MODE)Ĭhange: The default value of dataset_sink_mode is changed from True to False.ĭescription: If dataset_sink_mode is not set and the data sinking mode needs to be set, use the following method: Interface: t_context(mode=PYNATIVE_MODE)Ĭhange: The default value is changed from GRAPH_MODE to PYNATIVE_MODE.ĭescription: If the running mode is not set and the diagram mode needs to be set, use the following method: Interface: t_context(auto_tune_mode=”GA,RL”)Ĭhange: The AutoTune tool has been deprecated, delete auto_tune_mode option, new tuning tools will be planned in the future. After the optimization of MindSpore 2.0.0 version, users do not need to configure this parameter, so this parameter is deleted in MindSpore 2.0.0 version. ![]() Interface: Ĭhange: The interface parameter doc_url is used as a test feature in MindSpore 2.0.0.rc1 version. Īdd operator primitive for 3DWithFixedKsize. Streamline parallel supports specifying any dimension of the input data as the Batch dimension.Īdd operator primitive for 2D. Distributed parallel operator Gather supports the BatchDim attribute. Build new MindFormers independent repositpry, providing distributed parallel suite, replacing mindspore.nn.transformer module. For detailed operator support, refer to Dynamic Shape Support Status of nn Interface, Dynamic Shape Support Status of functional Interface, and Dynamic Shape Support Status of primitive Interface. Dynamic shape is fully supported on framework. Release Notes MindSpore 2.0.0 Release Notes Major Features and Improvements PyNative Environment Preparation and Information Acquisition.TensorFlow and MindSpore API Mapping Table.PyTorch and MindSpore API Mapping Table.High Performance Data Processing Engine.Graph-Kernel Fusion Acceleration Engine.Combination of Dynamic and Static Graphs.
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