[JIT] Make torch.unique_consecutive compatible#39339
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[JIT] Make torch.unique_consecutive compatible#39339
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eellison
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Jun 1, 2020
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LGTM! Thanks for doing this.
| self.checkScript(torch_unique, (0,)) | ||
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| def torch_unique_consecutive(dim: Optional[int]): | ||
| ten = torch.unique(torch.tensor([[1, 3], [2, 3]], dtype=torch.long)) |
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maybe add some consecutive values that are the same
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@eellison That is a good idea! I have added consecutive values for the test.
Could you land this for me? I don't work for FB, so I can not land it by myself.
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zasdfgbnm
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Jun 1, 2020
On par with pytorch/pytorch#39339 This breaks the compatibility with PyTorch 1.5.0, but hopefully will be compatible with 1.5.1.
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Jun 2, 2020
Cherry pick of pytorch#39339 Summary: A `unique_consecutive` version of pytorch#38156 Pull Request resolved: pytorch#39339 Differential Revision: D21823997 Pulled By: eellison fbshipit-source-id: d14596a36ba36497e296da5a344e0376cef56f1b
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Jun 11, 2020
* Remove workaround for TorchScript bug on torch.unique_consecutive On par with pytorch/pytorch#39339 This breaks the compatibility with PyTorch 1.5.0, but hopefully will be compatible with 1.5.1. * trigger ci * trigger * trigger Co-authored-by: Farhad Ramezanghorbani <farhadrgh@users.noreply.github.com>
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Summary: A `unique_consecutive` version of pytorch#38156 Pull Request resolved: pytorch#39339 Differential Revision: D21823997 Pulled By: eellison fbshipit-source-id: d14596a36ba36497e296da5a344e0376cef56f1b
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A
unique_consecutiveversion of #38156