CUDA Not found?

[basemaly]

Sorry again for the continued problems. After running pip install xturing, I get the following error. It seems there's a problem finding CUDA, but I've got it installed in the specified path:

  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [17 lines of output]
      No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2'
      test.c
      LINK : fatal error LNK1181: cannot open input file 'aio.lib'
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "C:\Users\basem\Dev\DeepSpeed\setup.py", line 164, in <module>
          abort(f"Unable to pre-compile {op_name}")
        File "C:\Users\basem\Dev\DeepSpeed\setup.py", line 51, in abort
          assert False, msg
      AssertionError: Unable to pre-compile async_io
      [WARNING] Torch did not find cuda available, if cross-compiling or running with cpu only you can ignore this message. Adding compute capability for Pascal, Volta, and Turing (compute capabilities 6.0, 6.1, 6.2)
      DS_BUILD_OPS=1
       [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
       [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
       [WARNING]  One can disable async_io with DS_BUILD_AIO=0
       [ERROR]  Unable to pre-compile async_io
      [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.

[tushar2407]

Hi @basemaly ,
Can you check what the deepspeed version being installed? Try downgrading it to 0.8.0 or 0.8.2.
Got it from this link.
If this does not work, try to locate the CUDA on your system and make sure the path set is right. If you need assistance I can help!