torch to understand that the product can guidance schooling on ascending. The guidance position of the higher-purchase APIs Employed in the model can be found below Supported Record.
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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MindTorch is MindSpore Device for adapting the PyTorch interface, that is meant to make PyTorch code carry out competently on Ascend with no switching the behavior of the first PyTorch customers.
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PyTorch interface support: MindTorch aims to assistance the first expression of PyTorch syntax, buyers just will need to exchange import torch in PyTorch resource code with import mindtorch.
from mindtorch.applications import mstorch_enable # It ought to be employed just before importing torch associated modules in the leading application
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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PyTorch interface support scope: MindTorch is presently mostly adapted to PyTorch details processing and design composition A part of the code, at present entirely supports MindSpore's PYNATIVE method instruction, A part of the network composition assist GRAPH manner coaching.
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MSAdapter is actually a MindSpore ecological adaptation Device, which swiftly migrates three-party framework code including PyTorch/JAX on the MindSpore ecosystem devoid of switching the person's primary use behaviors, supporting end users successfully https://mindtorch.org/ make use of the Ascend computing electrical power in the China Computing NET.