Anaconda

[hichemfelouat]

I have tried to use sberswap on anaconda with gpu and I found this issue! any suggestion?

Traceback (most recent call last): File "inference.py", line 8, in from utils.inference.image_processing import crop_face, get_final_image File "/content/sber-swap/utils/inference/image_processing.py", line 10, in from insightface.utils import face_align File "/usr/local/lib/python3.8/site-packages/insightface/init.py", line 8, in import onnxruntime File "/usr/local/lib/python3.8/site-packages/onnxruntime/init.py", line 13, in from onnxruntime.capi._pybind_state import get_all_providers, get_available_providers, get_device, set_seed,
File "/usr/local/lib/python3.8/site-packages/onnxruntime/capi/_pybind_state.py", line 9, in import onnxruntime.capi._ld_preload # noqa: F401 File "/usr/local/lib/python3.8/site-packages/onnxruntime/capi/_ld_preload.py", line 12, in _libcublas = CDLL("libcublas.so.10", mode=RTLD_GLOBAL) File "/usr/local/lib/python3.8/ctypes/init.py", line 373, in init self._handle = _dlopen(self._name, mode) OSError: libcublas.so.10: cannot open shared object file: No such file or directory

[RijulGupta-DM]

The version of pytorch and torchvision used in the requirements.txt file are built for Cuda 10. Your machine doesn't have this version of Cuda installed (it's probably using 11.). Either upgrade the packages to those which match your version of Cuda or downgrade your version of Cuda to 10.

[AlexanderGroshev]

You need to match the versions of pytorch, mxnet and onnxruntime-gpu to your CUDA. If you are using CUDA 10, you can follow requirements.txt. For CUDA 11.2 you can try the following versions: onnxruntime-gpu==1.8.0 mxnet-cu112==1.9.1