Norm subgradient at 0 #2775
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Norm subgradient at 0 #2775
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fmassa
reviewed
Sep 18, 2017
torch/autograd/_functions/reduce.py
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| output = output.unsqueeze(ctx.dim) | ||
| # Special case at 0 where we return a subgradient containing 0 | ||
| zero_mask = (output == 0).type_as(grad_input) | ||
| grad_input.mul(1 - zero_mask) |
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thanks Alban! |
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Fix #2421
Note that with this, at
0, it is now different to use.norm()or.pow(2).sum().sqrt()as the first one will return0and the second oneNaN