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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。
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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 aid: MindTorch TorchVision is a computer eyesight Device library migrated from PyTorch's Formal implementation. It carries on to make use of PyTorch's official api style, and phone calls MindSpore operators for calculations to realize a similar functions as the original torchvision library.
PyTorch interface help: MindTorch aims to assist the first expression of PyTorch syntax, consumers just need https://mindtorch.org/ to have to interchange import torch in PyTorch source 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 assist scope: MindTorch is at present predominantly tailored to PyTorch data processing and design construction Element of the code, now completely supports MindSpore's PYNATIVE method instruction, A part of the network structure help GRAPH manner education.
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Confer with the Person Guidebook, you are going to quickly get going and full the transformation from PyTorch code, and also begin with many Sophisticated optimization skills; Extra more than, In case you have demands for precision and efficiency tuning, make sure you consult with the Debugging and Tuning Guidebook.
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