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| b = torch.zeros(5, 2) | ||
| c = b[:, 0] | ||
| torch.logsumexp(a, 1, out=c) | ||
| self.assertTrue(np.allclose(expected, b[:, 0].numpy())) |
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Sorry did not mean to delete that comment. For context, I was asking why the |
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aten/src/ATen/native/ReduceOps.cpp
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| AT_CHECK(self.numel() != 0, "logsumexp only works on nonempty tensors"); | ||
| auto maxes = at::max_values(self, dim, true); | ||
| auto maxes_squeezed = (keepdim ? maxes : maxes.squeeze(dim)); | ||
| maxes_squeezed.masked_scatter_(maxes_squeezed.abs() == INFINITY, at::zeros({1}, maxes_squeezed.options()).expand_as(maxes_squeezed)); |
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LGTM, would prefer at::zeros({1}, maxes_squeezed.options()).expand_as(maxes_squeezed) written as at::zeros_like(maxes_squeezed) if that works
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@pytorchbot retest this please |
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Summary: Fixes: #9754 Maybe this could also make its way into 0.4.1, it is a severe debugging headache if you hit this... Pull Request resolved: pytorch/pytorch#9755 Reviewed By: ezyang Differential Revision: D8967178 Pulled By: zou3519 fbshipit-source-id: 151ed24e3a15a0c67014e411ac808fb893929a42
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pytorch#9755 broke this, but it was only tested if size zero dims were turned on.
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pytorch#9755 broke this, but it was only tested if size zero dims were turned on.
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Let's try not to reduce functionality (or question why and decide it's worth it); logsumexp worked on empty tensors before this and now it doesn't (see #9825). |
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@gchanan sorry! I was still dizzy from the non-inplacedness... |
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Summary: #9755 broke this, but it was only tested if size zero dims were turned on (it can still happen even if that isn't turned on, because we support size [0] tensors). Pull Request resolved: #9825 Differential Revision: D8997303 Pulled By: gchanan fbshipit-source-id: 911dce112f73fad0f3980a7f4f9423df0f2d923d
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Summary: pytorch/pytorch#9755 broke this, but it was only tested if size zero dims were turned on (it can still happen even if that isn't turned on, because we support size [0] tensors). Pull Request resolved: pytorch/pytorch#9825 Differential Revision: D8997303 Pulled By: gchanan fbshipit-source-id: 911dce112f73fad0f3980a7f4f9423df0f2d923d
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Summary: Fixes: pytorch#9754 Maybe this could also make its way into 0.4.1, it is a severe debugging headache if you hit this... Pull Request resolved: pytorch#9755 Reviewed By: ezyang Differential Revision: D8967178 Pulled By: zou3519 fbshipit-source-id: 151ed24e3a15a0c67014e411ac808fb893929a42
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Summary: pytorch#9755 broke this, but it was only tested if size zero dims were turned on (it can still happen even if that isn't turned on, because we support size [0] tensors). Pull Request resolved: pytorch#9825 Differential Revision: D8997303 Pulled By: gchanan fbshipit-source-id: 911dce112f73fad0f3980a7f4f9423df0f2d923d
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Summary: Fixes: pytorch#9754 Maybe this could also make its way into 0.4.1, it is a severe debugging headache if you hit this... Pull Request resolved: pytorch#9755 Reviewed By: ezyang Differential Revision: D8967178 Pulled By: zou3519 fbshipit-source-id: 151ed24e3a15a0c67014e411ac808fb893929a42
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Summary: pytorch#9755 broke this, but it was only tested if size zero dims were turned on (it can still happen even if that isn't turned on, because we support size [0] tensors). Pull Request resolved: pytorch#9825 Differential Revision: D8997303 Pulled By: gchanan fbshipit-source-id: 911dce112f73fad0f3980a7f4f9423df0f2d923d
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Fixes: #9754
Maybe this could also make its way into 0.4.1, it is a severe debugging headache if you hit this...