torch to know that the product can support training on ascending. The assist position of the upper-purchase APIs Utilized in the product are available here Supported Checklist.
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When using the HTTPS protocol, the command line will prompt for account and password verification as follows. For stability motives, Gitee recommends configure and use personalized entry tokens as opposed to login passwords for cloning, pushing, along with other functions. Username for '': userName
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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Obtain the file to your platform. If you're not positive which to select, learn more about installing packages.
TorchVision interface assistance: MindTorch TorchVision is a computer eyesight Software library migrated from PyTorch's Formal implementation. It carries on to work with PyTorch's official api design and style, and calls MindSpore operators for calculations to achieve the same capabilities as the first 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 Software for adapting the PyTorch interface, which happens to be built to make PyTorch code conduct successfully on Ascend with no modifying the routines of the first PyTorch end users.
Check with the User Guideline, https://mindtorch.org/ you are going to promptly begin and complete the transformation from PyTorch code, and also get started with a variety of advanced optimization capabilities; More above, When you've got needs for precision and general performance tuning, please confer with the Debugging and Tuning Guideline.
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