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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 assistance: MindTorch TorchVision is a computer eyesight Software library migrated from PyTorch's Formal implementation. It proceeds to implement PyTorch's Formal api layout, and calls MindSpore operators for calculations to realize precisely the same features as the original torchvision library.
PyTorch interface assistance: MindTorch aims to support the first expression of PyTorch syntax, end users just want to replace import torch in PyTorch resource code with import mindtorch.
from mindtorch.instruments import mstorch_enable # It has to be utilized right before importing torch relevant modules in the key program
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MindTorch is MindSpore Instrument for adapting the PyTorch interface, which can be created to make PyTorch code carry out efficiently on Ascend without switching the behaviors of the initial PyTorch consumers.
Confer with the User Information, you will promptly start and finish the transformation from PyTorch code, along with get rolling with numerous State-of-the-art optimization expertise; Additional more than, Should you have specifications for precision and effectiveness tuning, be sure to consult with the Debugging and Tuning Information.
MSAdapter is really a MindSpore ecological adaptation Device, which immediately migrates a few-party framework code like PyTorch/JAX towards the MindSpore ecosystem without having shifting the consumer's unique usage routines, assisting customers efficiently utilize the Ascend computing ability of your China Computing Internet.