Everything about https://mindtorch.org/
Everything about https://mindtorch.org/
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torch to recognize that the product can guidance schooling on ascending. The aid status of the higher-order APIs used in the design can be found listed here Supported Listing.
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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Obtain the file on your System. If you are not absolutely sure which to select, find out more about setting up packages.
The MindSpore is recommended being attained through the MindSpore Formal Web-site or from our data resources.
PyTorch interface assistance: MindTorch aims to aid the initial expression of PyTorch syntax, buyers just have to have to replace import torch in PyTorch supply code with import mindtorch.
from mindtorch.applications import mstorch_enable # It needs to be used prior to importing torch connected modules in the primary program
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PyTorch interface help scope: MindTorch is at the moment largely adapted to PyTorch info processing and design framework Element of the code, at present entirely supports MindSpore's PYNATIVE manner teaching, part of the network structure assistance GRAPH mode instruction.
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Make reference to the User Guidebook, you are going to speedily begin and finish the transformation from PyTorch code, and start out with various advanced optimization abilities; Much more above, In case you have demands for precision and effectiveness tuning, you should make reference to the Debugging and Tuning Manual.
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