Results 118 comments of Gary Miguel

So I guess part of the issue is that some packages in conda-forge are *incorrectly* declaring a dependency on system-wide CUDA, even though CUDA can be installed via conda packages...

I'm able to install pytorch-cuda without any system-requirement, but other packages such as jaxlib I'm not able to. So it seems like whatever the pytorch-cuda package is doing (seems it...

OK I guess my real issue is with the packages declaring this dependency unnecessarily (I think, though not very sure). I will close this, and hopefully https://github.com/prefix-dev/pixi/issues/480 can be fixed...

FYI opened https://github.com/conda-forge/jaxlib-feedstock/issues/254 against jaxlib.

I'm seeing this running `pixi install` using the official `ghcr.io/prefix-dev/pixi` container image running in a devcontainer on MacOS. It seems by default MacOS filesystems are case-insensitive, and this carries through...

I can't figure out the exact set of operations to trigger this, but even when setting --output-dir to a directory that is in .gitignore, I still sometimes see this. Or...

I hit this too. Maybe nn.Sequential.__init__ can raise a ValueError if one of the arguments doesn't have the expected signature?

Would be useful for applying NVidia GPU support patches.

@SK1Y101 or someone else, could you please review?