Activation layers inherit rank from source #99
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Previously the converter scripts would assume that any "activation" layer in Keras was a feed-forward layer. This broke in cases where the activation was operating on a sequence. This commit makes all activation functions inherit their source node's rank: i.e. if the source is a sequence, the activation function will be time-distributed, if the source is feed-forward, the activation will be feed-forward as well.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Previously the converter scripts would assume that any "activation"
layer in Keras was a feed-forward layer. This broke in cases where the
activation was operating on a sequence.
This commit makes all activation functions inherit their source node's
rank: i.e. if the source is a sequence, the activation function will
be time-distributed, if the source is feed-forward, the activation
will be feed-forward as well.