Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[CLML][RELAY] Enable Pad and Conv2d layer fusion #13649

Merged
merged 6 commits into from
Dec 28, 2022

Conversation

krishnaraj36
Copy link
Contributor

Enabled clml supported nn.pad+nn.conv2d fusion pattern in clml pattern table

Enabled clml supported nn.pad+nn.conv2d fusion pattern in clml pattern table
@tvm-bot
Copy link
Collaborator

tvm-bot commented Dec 21, 2022

Thanks for contributing to TVM! Please refer to the contributing guidelines https://tvm.apache.org/docs/contribute/ for useful information and tips. Please request code reviews from Reviewers by @-ing them in a comment.

  • No users to tag found in teams: clml, relay See #10317 for details

Generated by tvm-bot

python/tvm/relay/op/contrib/clml.py Outdated Show resolved Hide resolved
Copy link
Contributor

@echuraev echuraev left a comment

Choose a reason for hiding this comment

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

LGTM. Thanks

Copy link
Contributor

@srkreddy1238 srkreddy1238 left a comment

Choose a reason for hiding this comment

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

LGTM

@srkreddy1238 srkreddy1238 merged commit ece99a2 into apache:main Dec 28, 2022
fzi-peccia pushed a commit to fzi-peccia/tvm that referenced this pull request Mar 27, 2023
* [CLML][RELAY] Enable Pad and Conv2d layer fusion

Enabled clml supported nn.pad+nn.conv2d fusion pattern in clml pattern table

* Fix pad testcase attributes

* Fix the lint error

* Fix the lint error

* Removed redundent check in clml pattern

* Fix the lint error

Co-authored-by: kvegiraj <kvegiraj@qti.qualcomm.com>
mikeseven pushed a commit to mikeseven/tvm that referenced this pull request Sep 27, 2023
* [CLML][RELAY] Enable Pad and Conv2d layer fusion

Enabled clml supported nn.pad+nn.conv2d fusion pattern in clml pattern table

* Fix pad testcase attributes

* Fix the lint error

* Fix the lint error

* Removed redundent check in clml pattern

* Fix the lint error

Co-authored-by: kvegiraj <kvegiraj@qti.qualcomm.com>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants