Change misleading MaxUnpool2d example to better demonstrate output_size usage #68936
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jbschlosser
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jbschlosser
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Nov 29, 2021
torch/nn/modules/pooling.py
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| >>> input = torch.torch.tensor([[[[ 1., 2, 3, 4, 5], | ||
| [ 6, 7, 8, 9, 10], | ||
| [11, 12, 13, 14, 15], | ||
| [16, 17, 18, 19, 20]]]]) |
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tiny nit: for consistency, please add decimal points for all numbers
jbschlosser
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Nov 29, 2021
torch/nn/modules/pooling.py
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| tensor([[[[ 0., 0., 0., 0., 0.], | ||
| [ 0., 7., 0., 9., 0.], | ||
| [ 0., 0., 0., 0., 0.], | ||
| [ 0., 17., 0., 19., 0.]]]]) |
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FYI the linter is complaining about trailing spaces on this line
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At #68873, @jbschlosser states that maxunpool2d with the
output_sizeargument only works for indices of the same size. This makes sense, but unfortunately it's not what's shown in the example! I've removed the wrong example and replaced it with one where specifyingoutput_sizeis actually necessary -- the unpool call fails without it.