torch to realize that the design can help instruction on ascending. The aid status of the upper-order APIs used in the design are available in this article Supported List.

方式一：采用即时编译装饰器jit，使能部分函数粒度表达模块以静态图模式执行。

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自动并行：融合了数据并行、算子级模型并行的分布式并行模式，可以自动建立代价模型，找到训练时间较短的并行策略，为用户选择合适的并行模式。仅支持在图模式下使用。

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TorchVision interface aid: MindTorch https://mindtorch.org/ TorchVision is a pc eyesight Device library migrated from PyTorch's official implementation. It continues to utilize PyTorch's official api style, and phone calls MindSpore operators for calculations to obtain a similar capabilities as the initial torchvision library.

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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 help scope: MindTorch is at the moment generally adapted to PyTorch knowledge processing and design construction Portion of the code, at present entirely supports MindSpore's PYNATIVE mode coaching, A part of the community composition guidance GRAPH method instruction.

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