https://mindtorch.org/ - An Overview
https://mindtorch.org/ - An Overview
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torch to realize that the design can help teaching on ascending. The assist position of the upper-order APIs Utilized in the product are available below Supported Record.
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MindTorch is MindSpore Instrument for adapting the PyTorch interface, which is built to make PyTorch code execute competently on Ascend with no changing the practices of the first PyTorch consumers.
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TorchVision interface support: MindTorch TorchVision is a computer vision Instrument library migrated from PyTorch's official implementation. It continues to use PyTorch's Formal api style and design, and phone calls MindSpore operators for calculations to realize precisely the 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。
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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PyTorch interface guidance scope: MindTorch is currently mainly adapted to PyTorch data processing and model composition part of the code, presently totally supports MindSpore's PYNATIVE mode training, part of the community framework guidance GRAPH method instruction.
MindTorch is MindSpore Device for adapting the PyTorch interface, that's created to make PyTorch code carry out efficiently on Ascend without changing the patterns of the initial PyTorch customers.
Consult with the Person Guidebook, you can swiftly get started and comprehensive the transformation from PyTorch code, as well as get going with many Superior optimization competencies; A lot more about, When you https://mindtorch.org/ have necessities for precision and overall performance tuning, remember to check with the Debugging and Tuning Manual.
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