Torch shared library: undefined symbol to CBLAS

Description:

When import torch in Python as below:

import torch

An error will show, as follows:

File /usr/lib/python3.12/site-packages/torch/__init__.py:237
    235     if USE_GLOBAL_DEPS:
    236         _load_global_deps()
--> 237     from torch._C import *  # noqa: F403
    239 # Appease the type checker; ordinarily this binding is inserted by the
    240 # torch._C module initialization code in C
    241 if TYPE_CHECKING:

ImportError: /usr/lib/libtorch_cpu.so: undefined symbol: cblas_gemm_f16f16f32

I have reinstalled PyTorch, CUDA, cuDNN, BLAS/OpenBLAS, MKL, oneDNN, OpenMP, and NumPy, but no luck 😑

I suspect this issue is associated with the recent update of python with breaking change from 3.11 to 3.12, where some packages are not rebuilt or not built for 3.12.

Spec:

• CPU: AMD Ryzen 5800H
• GPU: NVIDIA RTX 3050 Mobile
• Kernel: 6.8.8-arch1-1

Additional info:

• package version(s): python-pytorch-cuda 2.3.0-2, python 3.12.3-1
• config and/or log files: ~/.bash_profile:

# -- snip -- #
# CUDA
export CUDA_DEVICE_ORDER="PCI_BUS_ID"
export CUDA_VISIBLE_DEVICES=0
# -- snip -- #

• link to upstream bug report, if any: https://github.com/pytorch/pytorch/issues/125391

Steps to reproduce:

1. Install python-pytorch or python-pytorch-cuda, with Python 3.12
2. Try importing torch in Python REPL or script.