-
-
Notifications
You must be signed in to change notification settings - Fork 48
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Add ARM + CUDA packages #149
Comments
This was added to the arch migration indirectly by PR ( conda-forge/conda-forge-pinning-feedstock#504 ) and then directly in PR ( conda-forge/conda-forge-pinning-feedstock#2699 ). The latter being done after setting up the CUDA arch migrator ( conda-forge/conda-forge-pinning-feedstock#2527 ) The arch migration for PyTorch is started in PR ( #119 ). Though that handles the CPU case. The CUDA case is handled by a follow on CUDA arch migrator. Though both could be applied in a single PR (if preferred). That all being said, the main challenge will be working through the build issues seen currently to get that to work. |
When I tried it, I found the current
|
We probably need this logic: #203 (comment) Edit: This is for CUDA 12+ though |
Could you please share more about how you are doing the build? Preferably in a PR where we could more easily discuss changes |
|
Thanks Jinzhe! 🙏 Will keep an eye on that PR |
Builds of the package for aarch64 (ARM) with CUDA support are missing and would be nice to have.
This would be helpful to RAPIDS cuDF, which uses PyTorch in its test suite for checking GPU interoperability. Currently cuDF is using an older pinning of
pytorch/pytorch
< 1.12.0 (rather than the conda-forge package) to get ARM + CUDA support. Newer versions on thepytorch
channel are built withnvidia/cuda-toolkit
instead ofconda-forge/cudatoolkit
, which leads to linker incompatibilities with libcupti.cc: @jakirkham
The text was updated successfully, but these errors were encountered: