Skip to content

Conversation

@anderspapitto
Copy link
Contributor

No description provided.

@anderspapitto
Copy link
Contributor Author

@ezyang @dzhulgakov please review

This comment was marked as off-topic.

This comment was marked as off-topic.

Copy link
Collaborator

@dzhulgakov dzhulgakov left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Looks good. I assume you've tested it e2e, right?

@anderspapitto
Copy link
Contributor Author

yes, I've tested e2e, tests are here onnxbot/onnx-fb-universe#600. I may have to make some small tweaks to make sure that I can land all the pieces without breaking tests in between

@ezyang ezyang merged commit 65fb885 into pytorch:master Feb 9, 2018
@ezyang
Copy link
Contributor

ezyang commented Feb 9, 2018

Looks good! (I wonder if we can make the code shorter somehow though :)

@anderspapitto
Copy link
Contributor Author

@ezyang yeah I think there probably is an opportunity to share some more code, but I didn't go for it right away because

1 - there's a small constant number (3) of RNN types, so the scope of the messiness is limited in that dimension

2 - there's a small constant number of features, and this is pretty much the last of them, so the messiness shouldn't get much worse in this dimension either

@anderspapitto anderspapitto deleted the bidirectional branch February 9, 2018 17:08
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants