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The most significant change is that this fixes the error message when
indexing an empty tensor with an out-of-bounds index. For example:

  x = torch.ones(10, 0)
  x[:, [3, 4]]

The most significant change is that this fixes the error message when
indexing an empty tensor with an out-of-bounds index. For example:

  x = torch.ones(10, 0)
  x[:, [3, 4]]
@colesbury colesbury requested a review from gchanan November 28, 2018 00:28
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@colesbury has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

Args:
indices (tuple of LongTensor): tensors used to index into `self`.
value (Tensor): tensor of same dtype as `self`.
accumulate (bool): whether to accumulate into self
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nit: the signature of the function just above is missing accumulate=False.

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@colesbury has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

zdevito pushed a commit to zdevito/ATen that referenced this pull request Nov 30, 2018
Summary:
```
The most significant change is that this fixes the error message when
indexing an empty tensor with an out-of-bounds index. For example:

  x = torch.ones(10, 0)
  x[:, [3, 4]]
```
Pull Request resolved: pytorch/pytorch#14441

Differential Revision: D13226737

Pulled By: colesbury

fbshipit-source-id: d1c4a35a30e3217e3d1727d13f6b354a4a3b2a24
@ezyang ezyang added the merged label Jun 25, 2019
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5 participants