supporting N-D Blobs in Dropout layer Reshape #3725
Merged
Conversation
This file contains 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
|
Thanks @shaibagon, LGTM. Please squash your changes to a single commit and I'll merge this. |
fixing lint errors
shaibagon
force-pushed
the
drop_nd_blobs
branch
from
383c3b8
to
bef2c05
Compare
|
@jeffdonahue squashed. Thank you very much, |
|
Thanks @shaibagon. I'll merge since one of the Travis checks passed and the others only failed due to the unrelated Travis issues. |
jeffdonahue
added a commit
that referenced
this pull request
Feb 28, 2016
supporting N-D Blobs in Dropout layer Reshape
|
@jeffdonahue Thank you! |
fxbit
pushed a commit
to Yodigram/caffe
that referenced
this pull request
Sep 1, 2016
supporting N-D Blobs in Dropout layer Reshape
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Outdated suggestions cannot be applied.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.
Reshapemethod of Dropout layerreshapesrand_vec_using deprecated shape methods (num(),channels(),height()andwidth()).Replacing these methods with newer
shape()allows Dorpout layer to work on Blobs withnum_axes()>4.This PR is a small patch
Thank you!