cuda "feature" causing build/install failure although my package has no cuda dependency #4056
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Actual Behavior
I created a meta.yaml that has some dependencies. As far as I can tell, none of these require CUDA. But building and/or installing the package results in an error:
I have been trying different things and sometimes I get the error during the build, other times only when I try to actually install the package.
Expected Behavior
The package should install without caring about CUDA.
Steps to Reproduce
My meta.yaml has:
{{ python }}
is defined inconda_build_config.yaml
as 3.6, 3.7 or 3.8. As far as I can tell, none of those packages depend on CUDA. I can't tell how or why conda thinks CUDA is relevant to my package at all. I looked at issues here and here describing how to track down dependencies, but nothing I found led to CUDA from any of the listed packages. I saw this related issue but in that case it seems the person was trying to install pytorch, which does use CUDA, whereas my package doesn't use it.I don't know how to debug this to find out why conda thinks that CUDA has any relevance to building my package. Looking through all the files in the packages generated by conda-build, I see no references to CUDA, so why is it involved in the dependency resolution at all?
Output of conda info
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