torch to know that the model can support instruction on ascending. The aid status of the higher-buy APIs Employed in the model can be found below Supported Record.
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MindTorch is MindSpore Instrument for adapting the PyTorch interface, which happens to be intended to make PyTorch code carry out successfully on Ascend without having switching the behavior of the first PyTorch customers.
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from mindtorch.resources import mstorch_enable # It needs to be made use of ahead of importing torch connected modules in the main method
动态图模式下，程序按照代码的编写顺序执行，在执行正向过程中根据反向传播的原理，动态生成反向执行图。动态图模式方便编写和调试神经网络模型。
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PyTorch interface aid scope: MindTorch is currently primarily adapted to PyTorch information processing and model structure part of the code, presently totally supports MindSpore's PYNATIVE mode training, part of the community composition guidance GRAPH method instruction.
MindTorch is MindSpore Device for adapting https://mindtorch.org/ the PyTorch interface, which can be created to make PyTorch code carry out efficiently on Ascend without switching the behaviors of the initial PyTorch customers.
Consult with the Person Manual, you might quickly get rolling and full the transformation from PyTorch code, and get going with many Superior optimization competencies; A lot more about, When you have necessities for precision and overall performance tuning, remember to refer to the Debugging and Tuning Manual.
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