torch to know that the model can support training on ascending. The assist position of the higher-purchase APIs Utilized in the product can be found listed here Supported Listing.
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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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The MindSpore is suggested for being obtained through the MindSpore official website or from our details means.
PyTorch interface guidance: MindTorch aims to assist the original expression of PyTorch syntax, users just have to have to switch import torch in PyTorch source code with import mindtorch.
from mindtorch.tools import mstorch_enable # It really should be applied just before importing torch associated modules in the most crucial software
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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MindTorch is MindSpore Instrument for adapting the PyTorch interface, that is built to make PyTorch code complete proficiently on Ascend without having altering the routines of the first PyTorch end users.
Seek advice from the User Manual, you might speedily get started and comprehensive the transformation from PyTorch code, in addition to get rolling with numerous Innovative optimization abilities; Far more around, if you have needs for precision and performance tuning, remember to confer with the Debugging and Tuning Guidebook.
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