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並前往https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/zh/latest/tutorials/weightsharing.html

Weight Sharing between Modules — nemo 0.11.0 文档

This means that the weights will get DIFFERENT gradients on the update step. Consider an example: tn1 = nemo.pytorch.

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