[NNVM][TENSORFLOW]Local Response Normalization added for tensorflow#1522
Merged
Conversation
0c7e7bd to
055a1e6
Compare
srkreddy1238
requested changes
Aug 2, 2018
| ignores=['index_type', 'T'])(new_inputs, attr) | ||
| return _impl | ||
|
|
||
| def _lrn(): |
Contributor
There was a problem hiding this comment.
@siju-samuel
I see few default params in tensorflow for LRN.
Please handle them here.
srkreddy1238
approved these changes
Aug 2, 2018
srkreddy1238
left a comment
Contributor
There was a problem hiding this comment.
Thanks @siju-samuel
LGTM.
tqchen
pushed a commit
to tqchen/tvm
that referenced
this pull request
Aug 4, 2018
sergei-mironov
pushed a commit
to sergei-mironov/tvm
that referenced
this pull request
Aug 8, 2018
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
LRN Operator added for tensorflow.
@srkreddy1238 Could you please review this changes. Thanks.
Thanks for contributing to TVM! Please refer to guideline https://docs.tvm.ai/contribute/ for useful information and tips. After the pull request is submitted, please request code reviews from others in the community.