jwfromm commented on a change in pull request #7063:
URL: https://github.com/apache/tvm/pull/7063#discussion_r538915180
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File path: python/tvm/contrib/nvcc.py
##########
@@ -269,15 +270,24 @@ def have_int8(compute_version):
return False
-def have_tensorcore(compute_version):
+def have_tensorcore(compute_version=None):
"""Either TensorCore support is provided in the compute capability or not
Parameters
----------
compute_version : str
compute capability of a GPU (e.g. "7.0")
"""
+ if compute_version is None:
+ if tvm.gpu(0).exist:
+ compute_version = tvm.gpu(0).compute_version
+ else:
+ compute_version = AutotvmGlobalScope.current.cuda_target_arch
Review comment:
Just to be clear, would you want to set 'cuda_target_arch' as part of a
`PassContext` config or is there a different approach you were thinking of?
When I investigated it wasn't quite as clear a fit as I thought.
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