The following directories listed in your path were found to be non-existent: {WindowsPath('C')}
C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\cuda_setup\main.py:167: UserWarning: C:\Users\kevguima\AppData\Local\anaconda3\envs\genai did not contain ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] as expected! Searching further paths...
warn(msg)
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths...
The following directories listed in your path were found to be non-existent: {WindowsPath('/usr/local/cuda/lib64')}
DEBUG: Possible options found for libcudart.so: set()
CUDA SETUP: PyTorch settings found: CUDA_VERSION=118, Highest Compute Capability: 8.6.
CUDA SETUP: To manually override the PyTorch CUDA version please see:https://github.com/TimDettmers/bitsandbytes/blob/main/how_to_use_nonpytorch_cuda.md
CUDA SETUP: Loading binary C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\libbitsandbytes_cuda118.so...
argument of type 'WindowsPath' is not iterable
CUDA SETUP: Problem: The main issue seems to be that the main CUDA runtime library was not detected.
CUDA SETUP: Solution 1: To solve the issue the libcudart.so location needs to be added to the LD_LIBRARY_PATH variable
CUDA SETUP: Solution 1a): Find the cuda runtime library via: find / -name libcudart.so 2>/dev/null
CUDA SETUP: Solution 1b): Once the library is found add it to the LD_LIBRARY_PATH: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:FOUND_PATH_FROM_1a
CUDA SETUP: Solution 1c): For a permanent solution add the export from 1b into your .bashrc file, located at ~/.bashrc
CUDA SETUP: Solution 2: If no library was found in step 1a) you need to install CUDA.
CUDA SETUP: Solution 2a): Download CUDA install script: wget https://raw.githubusercontent.com/TimDettmers/bitsandbytes/main/cuda_install.sh
CUDA SETUP: Solution 2b): Install desired CUDA version to desired location. The syntax is bash cuda_install.sh CUDA_VERSION PATH_TO_INSTALL_INTO.
CUDA SETUP: Solution 2b): For example, "bash cuda_install.sh 113 ~/local/" will download CUDA 11.3 and install into the folder ~/local
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\__init__.py", line 6, in <module>
from . import cuda_setup, utils, research
File "C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\research\__init__.py", line 1, in <module>
from . import nn
File "C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\research\nn\__init__.py", line 1, in <module>
from .modules import LinearFP8Mixed, LinearFP8Global
File "C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\research\nn\modules.py", line 8, in <module>
from bitsandbytes.optim import GlobalOptimManager
File "C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\optim\__init__.py", line 6, in <module>
from bitsandbytes.cextension import COMPILED_WITH_CUDA
File "C:\Users\kevguima\AppData\Local\anaconda3\envs\genai\lib\site-packages\bitsandbytes\cextension.py", line 20, in <module>
raise RuntimeError('''
RuntimeError:
CUDA Setup failed despite GPU being available. Please run the following command to get more information:
python -m bitsandbytes
Inspect the output of the command and see if you can locate CUDA libraries. You might need to add them
to your LD_LIBRARY_PATH. If you suspect a bug, please take the information from python -m bitsandbytes
and open an issue at: https://github.com/TimDettmers/bitsandbytes/issues
It looks for libcudart.so which is a UNIX library so it seems this package has been adapted properly to Windows. I precise I installed CUDA runtime v12.
Hello,
After running this command given in the documentation:
Just calling:
return False with the following error message:
It looks for libcudart.so which is a UNIX library so it seems this package has been adapted properly to Windows. I precise I installed CUDA runtime v12.