https://mindtorch.org/ Options
https://mindtorch.org/ Options
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torch to understand that the design can aid teaching on ascending. The assist status of the upper-get APIs used in the product can be found right here Supported Record.
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My college students love it! It seriously problems them to learn the principles. I informed one of my students to alter to another matter so she could exercise for your future checks, and she or he said, 'No, wait around! I need to get to one hundred% 1st!' I have never witnessed her more determined to be successful!
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 usually recommended for being obtained through the MindSpore Formal website or from our knowledge sources.
PyTorch interface help: MindTorch aims to help the original expression of PyTorch syntax, people just need to have to exchange 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 support scope: MindTorch is at the moment largely adapted to PyTorch knowledge processing and design construction Section of the code, at present thoroughly supports MindSpore's PYNATIVE manner instruction, Section of the network structure aid GRAPH manner instruction.
The updated agreement specifies that customers are prohibited from employing intranet penetration resources. After you click on "Concur and proceed", you may continue on to make https://mindtorch.org/ use of our companies. Thanks for your personal cooperation and knowing.
Seek advice from the Person Guide, you'll swiftly begin and finish the transformation from PyTorch code, together with start out with many Highly developed optimization competencies; Extra around, if you have requirements for precision and general performance tuning, be sure to seek advice from the Debugging and Tuning Information.
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