bitsandbytes-foundation / bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.
https://huggingface.co/docs/bitsandbytes/main/en/index
MIT License
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CUDA Setup failed despite GPU being available #1394

Open carlxc911 opened 2 weeks ago

carlxc911 commented 2 weeks ago

System Info

windows11 cuda 12.6 pytorch 12.4 bitsandbytes https://github.com/jllllll/bitsandbytes/tree/cmake_windows_0.41.1

Reproduction

when I run Llama Factory webui, it was broken and says:

python -m bitsandbytes

warn(msg)

The following directories listed in your path were found to be non-existent: {WindowsPath('/ai_2024/anaconda_2024/envs/llama_factory/lib'), WindowsPath('D')} D:\ai_2024\anaconda_2024\envs\llama_factory\lib\site-packages\bitsandbytes\cuda_setup\main.py:166: UserWarning: D:\ai_2024\anaconda_2024\envs\llama_factory did not contain ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] as expected! Searching further paths... warn(msg) The following directories listed in your path were found to be non-existent: {WindowsPath('AQAAANCMnd8BFdERjHoAwE/Cl+sBAAAAIJuRFahcnkO2doFI7Edl3QQAAAACAAAAAAAQZgAAAAEAACAAAAAvMB+1sCNAMgkDTO45Ql1LECshSbdZ3VzO68u5ocLNtwAAAAAOgAAAAAIAACAAAACEWHZHY8QUf/GSFmVXlR20lKemhfSpkmRscbXzejn412AAAABpDOYyx5EwP1ET92G05jCPrQiHe6wafgfu8LSimIi7fbHMuqhQy5urnS4/k9GC3NHtHuWCNIdHnizbADqHXorE4t+V/PaKmdweSh4YZJ95CK9gQvUEf6Klw3BE+QLxSo9AAAAAr9T6+8IyHE49cH7Ad5Kjznm8nJ9wJffU4n+3i0Cr568tSUFlwrWL152yFrSIjd5zNH2+HDDz8fSqEe1Fz98MPw==')} 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=124, 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: Required library version not found: libbitsandbytes_cuda124.so. Maybe you need to compile it from source? CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...

================================================ERROR===================================== CUDA SETUP: CUDA detection failed! Possible reasons:

  1. You need to manually override the PyTorch CUDA version. Please see: "https://github.com/TimDettmers/bitsandbytes/blob/main/how_to_use_nonpytorch_cuda.md
  2. CUDA driver not installed
  3. CUDA not installed
  4. You have multiple conflicting CUDA libraries
  5. Required library not pre-compiled for this bitsandbytes release! CUDA SETUP: If you compiled from source, try again with make CUDA_VERSION=DETECTED_CUDA_VERSION for example, make CUDA_VERSION=113. CUDA SETUP: The CUDA version for the compile might depend on your conda install. Inspect CUDA version via conda list | grep cuda.

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://github.com/TimDettmers/bitsandbytes/blob/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 CUDA SETUP: Setup Failed! Traceback (most recent call last): File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\runpy.py", line 187, in _run_module_as_main mod_name, mod_spec, code = _get_module_details(mod_name, _Error) File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\runpy.py", line 146, in _get_module_details return _get_module_details(pkg_main_name, error) File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\runpy.py", line 110, in _get_module_details import(pkg_name) File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\site-packages\bitsandbytes__init.py", line 6, in from . import cuda_setup, utils, research File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\site-packages\bitsandbytes\research__init__.py", line 1, in from . import nn File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\site-packages\bitsandbytes\research\nn\init.py", line 1, in from .modules import LinearFP8Mixed, LinearFP8Global File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\site-packages\bitsandbytes\research\nn\modules.py", line 8, in from bitsandbytes.optim import GlobalOptimManager File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\site-packages\bitsandbytes\optim\init__.py", line 6, in from bitsandbytes.cextension import COMPILED_WITH_CUDA File "D:\ai_2024\anaconda_2024\envs\llama_factory\lib\site-packages\bitsandbytes\cextension.py", line 20, in 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

Expected behavior

what should I do?

jnt0rrente commented 2 weeks ago

Same issue here, even though all required libcudart versions (more than one, for some reason?) are present in the path

So-cean commented 2 weeks ago

same here