microsoft / LLaVA-Med

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
Other
1.29k stars 148 forks source link

is it possible to run mac M2 ultra? #11

Open bioinfomagic opened 8 months ago

bioinfomagic commented 8 months ago

I don't have a nvdia device and wish to learn how to run LLaVA-med, wondering if is it possible to run mac M2 ultra 198 GB? Previous LLaVA runs on Mac M2 chip slowly, which is working on mac, not sure if LLaVA-med also supports Mac.

bioinfomagic commented 8 months ago

Downloading open_clip_torch-2.23.0-py3-none-any.whl (1.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.5/1.5 MB 4.3 MB/s eta 0:00:00 Installing collected packages: ftfy, open-clip-torch Successfully installed ftfy-6.1.1 open-clip-torch-2.23.0 Collecting flash-attn Using cached flash_attn-2.3.3.tar.gz (2.3 MB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [22 lines of output] fatal: not a git repository (or any of the parent directories): .git /private/var/folders/r1/_sncvgk15lb_fhsrrjjhj_wh0000gn/T/pip-install-dbtvbswe/flash-attn_49645c10a8284b98b548df3b1535e0fb/setup.py:79: UserWarning: flash_attn was requested, but nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc. warnings.warn( Traceback (most recent call last): File "", line 2, in File "", line 34, in File "/private/var/folders/r1/_sncvgk15lb_fhsrrjjhj_wh0000gn/T/pip-install-dbtvbswe/flash-attn_49645c10a8284b98b548df3b1535e0fb/setup.py", line 136, in CUDAExtension( File "/opt/homebrew/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 1076, in CUDAExtension library_dirs += library_paths(cuda=True) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 1203, in library_paths if (not os.path.exists(_join_cuda_home(lib_dir)) and ^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 2416, in _join_cuda_home raise OSError('CUDA_HOME environment variable is not set. ' OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root.

  torch.__version__  = 2.1.0

  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed

× Encountered error while generating package metadata. ╰─> See above for output.

note: This is an issue with the package mentioned above, not pip. hint: See above for details.