torch to understand that the model can support training on ascending. The help position of the upper-order APIs Utilized in the design are available here Supported Checklist.
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。
When using the HTTPS protocol, the command line will prompt for account and password verification as follows. For stability motives, Gitee recommends configure and use own accessibility tokens rather than login passwords for cloning, pushing, as well as other operations. 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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When utilizing the SSH protocol for The 1st time to clone or push code, follow the prompts below to complete the SSH configuration.
The MindSpore is usually recommended being received through the MindSpore official Web site or from our https://mindtorch.org/ data assets.
PyTorch interface assist: MindTorch aims to help the original expression of PyTorch syntax, buyers just have to have to interchange import torch in PyTorch supply code with import mindtorch.
数据并行：对数据进行切分的并行模式，一般按照batch维度切分，将数据分配到各个计算单元中，进行模型计算。
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 aid scope: MindTorch is currently mainly adapted to PyTorch data processing and product composition Element of the code, currently fully supports MindSpore's PYNATIVE manner schooling, part of the network composition guidance GRAPH method education.
MindTorch is MindSpore Device for adapting the PyTorch interface, that's created to make PyTorch code accomplish effectively on Ascend without switching the patterns of the initial PyTorch end users.
Seek advice from the User Tutorial, you'll promptly get going and entire the transformation from PyTorch code, as well as start out with a variety of advanced optimization expertise; A lot more around, For those who have prerequisites for precision and efficiency tuning, you should refer to the Debugging and Tuning Manual.
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