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This article to share with you is about torch.nn.Linear() and torch.nn.functional.linear() how to use, Xiaobian think quite practical, so share with you to learn, I hope you can read this article after some harvest, not much to say, follow Xiaobian to see it.

Code Lab Showcase:

Microsoft Windows [version 10.0.18363.1316](c) 2019 Microsoft Corporation. All rights reserved. C:\Users\chenxuqi>conda activate ssd4pytorch2_2_0(ssd4pytorch2_2_0) C:\Users\chenxuqi>pythonPython 3.7.7 (default, May 6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32Type "help", "copyright", "credits" or "license" for more information.>>> import torch>>> import torch.nn as nn>>> import torch.nn.functional as F>>> torch.manual_seed (seed=20200910)>>>>>> data_in = torch.randn (3,4,5,6,7)>>> data_in.shapetorch.Size ([3, 4, 5, 6, 7])>>> linear4cxq = nn.Linear(7, 30)>>>>>> linear4cxqLinear (in_features=7, out_features=30, bias=True)>>>>>> data_out = linear4cxq(data_in)>>> data_out.shapetorch.Size ([3, 4, 5, 6, 30])>>>>>> data_in.shapetorch.Size([3, 4, 5, 6, 7])>>>>>>>>> I hope you can learn more from this article. For more details, please follow the industry information channel.

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