Correct conv and pooling docstrings in nn module #17052
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ssnl
approved these changes
Feb 13, 2019
torch/nn/functional.py
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| >>> # pool of square window of size=3, stride=2 | ||
| >>> input = torch.tensor([[[1,2,3,4,5,6,7]]]) | ||
| >>> input = torch.tensor([[[1.,2,3,4,5,6,7]]]) |
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Ah thanks for spotting this! Could you maybe change this line to
>>> input = torch.tensor([[[1, 2, 3, 4, 5, 6, 7]]], dtype=torch.float32)i.e., with correct spacing and less of a hack to make it floating point?
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@ezyang is landing this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
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@ezyang is landing this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
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This PR fix conv and pooling docstrings in nn module