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Fix Python DataParallel RNN in no_grad mode #21197

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mrshenli
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Fixes #21108

When grad is disabled, Python autograd function outputs are wrapped as detached aliases, which prevents calling Tensor.set_() on them after recent changes in Tensors and Variables. This will hit a problem when users would like to call rnn.flatten_parameters() in the forward pass, as the function calls set_().

The proposed solution is to avoid using an autograd Broadcast if in no_grad mode.

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@mrshenli mrshenli added oncall: distributed Add this issue/PR to distributed oncall triage queue triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels May 31, 2019
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This is blocking facebookresearch/mmf/issues/76

@pytorchbot pytorchbot added the module: nn Related to torch.nn label May 31, 2019
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@mrshenli has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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@mrshenli merged this pull request in 51ebbe9.

facebook-github-bot pushed a commit that referenced this pull request Jun 3, 2019
Summary:
Retry #21197

The previous one failed because it uses some Python3 only syntax.

ezyang Do we still have multi-GPU py2 tests? I am curious why the CI tests did not catch this error.
Pull Request resolved: #21262

Differential Revision: D15598941

Pulled By: mrshenli

fbshipit-source-id: 95f416589448c443685d6d236d205b011998a715
@mrshenli mrshenli deleted the nograd branch June 14, 2019 14:58
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Is this fix part of 1.2?

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gchanan commented Oct 14, 2019

@BramVanroy yes, this made 1.2.

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Could you also modify the replicate part in data_parallel()? https://github.com/pytorch/pytorch/blob/master/torch/nn/parallel/data_parallel.py#L217

The same problem still happens when I call torch.nn.parallel.data_parallel instead of torch.nn.DataParallel. You can refer to this code snippet for reproducing the problem: #21108 (comment)

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Merged module: nn Related to torch.nn oncall: distributed Add this issue/PR to distributed oncall triage queue triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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[DataParallel] flatten_parameters doesn't work under torch.no_grad
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