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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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The MindSpore is suggested for being acquired in the MindSpore Formal Web page or from our knowledge assets.
PyTorch interface help: MindTorch aims to assistance the first expression of PyTorch syntax, end users just want 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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MindTorch is MindSpore Software for adapting the PyTorch interface, that's created to https://mindtorch.org/ make PyTorch code execute effectively on Ascend without switching the behaviors of the initial PyTorch customers.
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