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@driazati driazati commented Oct 16, 2019

All the other RNN parameters (input_size, num_layers, etc.) listed here are accessible after creation, but nonlinearity isn't. This PR adds it to RNN for consistency

Differential Revision: D17945867

This was referenced in the `RNN` docs but wasn't actually assigned
@driazati driazati requested a review from apaszke as a code owner October 16, 2019 00:52
@driazati driazati requested review from zou3519 and removed request for zou3519 October 16, 2019 00:53
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@driazati merged this pull request in 2e7dd54.

thiagocrepaldi pushed a commit to thiagocrepaldi/pytorch that referenced this pull request Feb 4, 2020
Summary:
This was referenced in the `RNN` docs but wasn't actually assigned
Pull Request resolved: pytorch#28058

Pulled By: driazati

Differential Revision: D17945867

fbshipit-source-id: 0f0dc2633183a7e67a12352a2a7ac0545284666a
@facebook-github-bot facebook-github-bot deleted the driazati/fix/nonlinearity branch July 13, 2020 17:54
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5 participants