torch to understand that the design can help coaching on ascending. The guidance position of the higher-purchase APIs Utilized in the product are available right here Supported Listing.
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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 guidance: MindTorch TorchVision is a computer vision Resource library migrated from PyTorch's official implementation. It continues to use PyTorch's official api design, and calls MindSpore operators for calculations to accomplish exactly the same capabilities as the initial torchvision library.
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from mindtorch.tools import mstorch_enable # It needs to be made use of ahead of importing torch connected modules in the main program
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PyTorch interface assistance scope: MindTorch is at present largely adapted to PyTorch knowledge processing and design framework Section of the code, at this time thoroughly supports MindSpore's PYNATIVE manner teaching, Element of the community framework assist GRAPH mode coaching.
MindTorch is MindSpore Instrument for adapting the PyTorch interface, which can be made to make PyTorch code carry out efficiently on Ascend without the need of changing the patterns of the initial PyTorch end users.
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MSAdapter is actually a MindSpore ecological adaptation Device, which promptly migrates a few-bash framework code such as PyTorch/JAX for the MindSpore ecosystem with no shifting the consumer's unique utilization behavior, helping buyers effectively utilize the Ascend computing electric power in the China Computing Web.