https://mindtorch.org/ Options

https://mindtorch.org/ Options

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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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TorchVision interface support: MindTorch TorchVision is a pc eyesight Resource library migrated from PyTorch's official implementation. It continues to make use of PyTorch's official api design, and phone calls MindSpore operators for calculations to accomplish the exact same features 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。

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MindTorch is MindSpore Resource for adapting the PyTorch interface, that's intended to make PyTorch code execute effectively on Ascend with out changing the behaviors of the initial PyTorch customers.

Seek advice from the User Tutorial, you'll promptly get going and entire the transformation from PyTorch code, along with start out with different Highly developed optimization abilities; Far more over, In case you have prerequisites for precision and efficiency tuning, you should refer to the Debugging and Tuning Guidebook.

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