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torch to know that the model can assistance coaching on ascending. The aid position of the higher-get APIs Utilized in the design are available right here Supported Listing.

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 help: MindTorch TorchVision is a pc eyesight Software library migrated from PyTorch's Formal implementation. It continues to use PyTorch's official api design and style, and phone calls MindSpore operators for calculations to accomplish exactly the same capabilities as the original 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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MindTorch is MindSpore tool for adapting the PyTorch interface, which is meant to make PyTorch code execute successfully on Ascend devoid of switching the patterns of the first PyTorch buyers.

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MSAdapter is usually a MindSpore ecological adaptation tool, which speedily migrates three-occasion framework code which include PyTorch/JAX to the MindSpore ecosystem with out modifying the consumer's unique utilization practices, supporting end users proficiently use the Ascend computing energy from the China Computing Web.

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