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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。
My college students adore it! It actually challenges them to master the ideas. I explained to among my pupils to vary to a different topic so she could follow for that future exams, and he or she stated, 'No, hold out! I desire to get to 100% initially!' I have not seen her a lot more inspired to realize success!
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 help: MindTorch TorchVision is a computer vision Instrument library migrated from PyTorch's official implementation. It carries on to use PyTorch's official api style, and calls MindSpore operators for calculations to attain the identical capabilities as the initial torchvision library.
PyTorch interface guidance: MindTorch aims to assist the original expression of PyTorch syntax, customers just require to interchange import torch in PyTorch supply code with import mindtorch.
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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PyTorch interface guidance scope: MindTorch is now mainly adapted to PyTorch data processing and design composition part of the code, at the moment completely supports MindSpore's PYNATIVE mode training, Portion of the network composition assist GRAPH mode teaching.
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