You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2019/12/06 08:33:24 UTC

[GitHub] [incubator-tvm] vinx13 commented on a change in pull request #4472: Workaround to make conv2d_transpose compilation for CUDA work

vinx13 commented on a change in pull request #4472: Workaround to make conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r354714737
 
 

 ##########
 File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
 ##########
 @@ -186,7 +186,9 @@ def _callback(op):
 
             if cfg.is_fallback:
                 N, F, Y, X = get_const_tuple(conv.shape)
-                _fallback_schedule(N, F, Y, X)
+                # Workaround to make CUDA compilation work. Issue #4470
 
 Review comment:
   Can we still use the fallback for 1x1 case by checking the input params here?

----------------------------------------------------------------
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.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services