On 12/8/23 7:34 AM, Steve Grubb wrote:
On Friday, December 8, 2023 12:41:59 AM EST Jun Aruga (he / him) wrote:
Congratulations for the PyTorch package!
https://src.fedoraproject.org/rpms/python-torch
I hope someone will announce this great achievement to the Fedora
community too, and update the following page too.
https://fedoraproject.org/wiki/SIGs/PyTorch/packagingStatus
Yes, this is nice that we have pytorch in Fedora. Looking at the specfile...
USE_CUDA=OFF
USE_ROCM=OFF
Which does not align with:
%description
PyTorch is a Python package that provides two high-level features:
* Tensor computation (like NumPy) with strong GPU acceleration
GPU acceleration? Also,
USE_OPENMP=OFF
So, no threading? What about at least enabling BLAS? Maybe it is by default.
Not seeing it in the specfile. Without a CUDA version of this, it can't be
used the way it was meant to be. We still need to use pip install to get an
accelerated version:
pip install torch
python3
I made the choice to focus on doing cpu first believing it would be a
good base to build out from.
To be useful, PyTorch needs to be accelerated, but acceleration is
complicated. The acceleration stack as well as the hw drivers must be
in Fedora. This work is tracked on the HC sig page. Unfortunately CUDA
is not open source. But ROCm is. There is a parallel effort as Tim has
said to enable the ROCm packages that PyTorch needs. Most of them are
in Fedora, but we are missing a couple of them.
Tom
import torch
torch.__config__.show()
The config listed there should be compared with the config in the spec file to
get as close to the expected feature set as possible so that people can just
switch. This is a positive step and I would love to switch one day.
Best Regards,
-Steve
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