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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 support: MindTorch TorchVision is a pc eyesight Resource library migrated from PyTorch's official implementation. It continues to utilize PyTorch's Formal api structure, and calls MindSpore operators for calculations to achieve exactly the same functions as the first torchvision library.
PyTorch interface guidance: MindTorch aims to help https://mindtorch.org/ the original expression of PyTorch syntax, buyers just will need to exchange import torch in PyTorch source code with import mindtorch.
from mindtorch.applications import mstorch_enable # It ought to be employed prior to importing torch similar modules in the leading system
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MindTorch is MindSpore tool for adapting the PyTorch interface, that is designed to make PyTorch code perform competently on Ascend without the need of transforming the practices of the original PyTorch users.
Consult with the Person Guidebook, you can swiftly get started and comprehensive the transformation from PyTorch code, in addition to get rolling with numerous State-of-the-art optimization abilities; Far more over, In case you have requirements for precision and functionality tuning, be sure to make reference to the Debugging and Tuning Information.
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