Failed with installing the SEEM library in Windows 10

[Siu-Keung]

Hey guys,

I met the below error while installing the SEEM library in windows 10 OS:

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Collecting deepspeed==0.10.3 (from SEEM==1.0)
Using cached deepspeed-0.10.3.tar.gz (867 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [17 lines of output]
test.c
LINK : fatal error LNK1181: cannot open input file 'aio.lib'
fatal: not a git repository (or any of the parent directories): .git
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "C:\Users\usr\AppData\Local\Temp\pip-install-su14ddby\deepspeed_567f049e387d44dca824e1f320150964\setup.py", line 224, in
create_dir_symlink('..\..\csrc', '.\deepspeed\ops\csrc')
File "C:\Users\usr\AppData\Local\Temp\pip-install-su14ddby\deepspeed_567f049e387d44dca824e1f320150964\setup.py", line 216, in create_dir_symlink
os.remove(dest)
PermissionError: [WinError 5] Access is denied: '.\deepspeed\ops\csrc'
DS_BUILD_OPS=0
[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] sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.4
[WARNING] please install triton==1.0.0 if you want to use sparse attention
Install Ops={'async_io': False, 'fused_adam': False, 'cpu_adam': False, 'cpu_adagrad': False, 'fused_lamb': False, 'quantizer': False, 'random_ltd': False, 'sparse_attn': False, 'spatial_inference': False, 'transformer': False, 'stochastic_transformer': False, 'transformer_inference': False}
[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.
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Any ideas on fixing this issue? thx