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MindTorch is MindSpore Device for adapting the PyTorch interface, that is meant to make PyTorch code execute efficiently on Ascend devoid of altering the patterns of the original PyTorch people.
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When utilizing the SSH protocol for The 1st time to clone or force code, follow the prompts below to complete the https://mindtorch.org/ SSH configuration.
The MindSpore is recommended to be attained within the MindSpore official Site or from our info sources.
PyTorch interface assistance: MindTorch aims to support the first expression of PyTorch syntax, end users just require to replace import torch in PyTorch resource code with import mindtorch.
数据并行：对数据进行切分的并行模式，一般按照batch维度切分，将数据分配到各个计算单元中，进行模型计算。
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 support scope: MindTorch is at present largely adapted to PyTorch knowledge processing and design framework Section of the code, at this time absolutely supports MindSpore's PYNATIVE manner schooling, Element of the community framework guidance GRAPH method education.
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Seek advice from the User Guideline, you are going to quickly begin and total the transformation from PyTorch code, together with start with many Superior optimization competencies; A lot more around, In case you have requirements for precision and functionality tuning, be sure to make reference to the Debugging and Tuning Tutorial.
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