torch to know that the design can help training on ascending. The guidance position of the upper-get APIs used in the model can be found below 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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MindTorch is MindSpore Resource for adapting the PyTorch interface, which can be designed to make PyTorch code complete effectively on Ascend without the need of modifying the habits of the initial PyTorch buyers.
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The MindSpore is recommended to become obtained within the MindSpore Formal Internet site or from our info sources.
PyTorch interface assistance: MindTorch aims to support the first expression of PyTorch syntax, consumers just require to replace import torch in PyTorch supply 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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MSAdapter is often a MindSpore ecological adaptation Resource, which immediately migrates a few-party framework code such as PyTorch/JAX towards the MindSpore ecosystem without having shifting the consumer's unique utilization behavior, aiding end users proficiently use the Ascend computing energy from the China Computing Web.