torch to know that the model can assistance coaching on ascending. The aid status of the higher-buy APIs Employed in the model can be found listed here Supported Record.
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 assistance: MindTorch TorchVision is a computer eyesight Software library migrated from PyTorch's Formal implementation. It carries on to implement PyTorch's official api design and style, and calls MindSpore operators for calculations to attain the identical capabilities as the original torchvision library.
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from mindtorch.resources import mstorch_enable # It must be made use of in advance of importing torch relevant modules in the key plan
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MindTorch is MindSpore Instrument for adapting the PyTorch interface, which can be made to make PyTorch code carry out efficiently on Ascend without switching the behaviors of the initial PyTorch users.
Confer with the Person Guidebook, https://mindtorch.org/ you will speedily get started and comprehensive the transformation from PyTorch code, as well as begin with various Innovative optimization skills; Far more around, For those who have prerequisites for precision and efficiency tuning, you should refer to the Debugging and Tuning Guidebook.
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