You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@tvm.apache.org by "echuraev (via GitHub)" <gi...@apache.org> on 2023/04/07 07:32:08 UTC
[GitHub] [tvm] echuraev commented on pull request #14519: [TOPI] Vectorize depthwise conv2d output operator
echuraev commented on PR #14519:
URL: https://github.com/apache/tvm/pull/14519#issuecomment-1500025097
> Yeah, although I'm not sure where a test for something like this would live. We would need to test that vectorization happens as expected, so some kind of lit test based on tir?
I believe that a test in [test_conv2d.py](https://github.com/apache/tvm/blob/main/tests/python/relay/strategy/arm_cpu/test_conv2d.py) might be enough. Probably you can also add a test for tir or codegen to see that vectorization was applied but in this case in codegen test it will be necessary to call an existing schedule instead of writing a new one.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: commits-unsubscribe@tvm.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org