https://mindtorch.org/ Options
https://mindtorch.org/ Options
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torch to understand that the design can support training on ascending. The assistance status of the upper-purchase APIs Utilized in the design are available in this article Supported List.
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When using the HTTPS protocol, the command line will prompt for account and password verification as follows. For safety good reasons, Gitee recommends configure and use own obtain tokens rather than login passwords for cloning, pushing, as well as other functions. Username for '': userName
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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PyTorch interface support: MindTorch aims to support the original expression of PyTorch syntax, end users just will need to exchange import torch in PyTorch resource code with import mindtorch.
from mindtorch.equipment import mstorch_enable # It really should be used prior to importing torch related modules in the leading program
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PyTorch interface assistance scope: MindTorch is at present generally adapted to PyTorch knowledge processing and model structure A part of the code, now fully supports MindSpore's PYNATIVE mode teaching, Element of the network construction guidance GRAPH manner training.
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MSAdapter is a MindSpore ecological adaptation Instrument, which rapidly migrates 3-get together framework code for example PyTorch/JAX to your MindSpore ecosystem devoid of switching the user's unique utilization routines, supporting customers competently use the Ascend computing energy of your China Computing Web.