👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It enables customizable human image generation with flexible garment, pose, and scene control, ensuring high fidelity and garment consistency for virtual try-on.
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [17 lines of output]
C:\Users\User\anaconda3\envs\imag\lib\site-packages\torch\nn\modules\transformer.py:20: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84.)
device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'),
test.c
LINK : fatal error LNK1181: no se puede abrir el archivo de entrada 'aio.lib'
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "C:\Users\User\AppData\Local\Temp\pip-install-z97g9w67\deepspeed_c6daba0ee84e4b7a8ea423e02b7a709f\setup.py", line 180, in
abort(f"Unable to pre-compile {op_name}")
File "C:\Users\User\AppData\Local\Temp\pip-install-z97g9w67\deepspeed_c6daba0ee84e4b7a8ea423e02b7a709f\setup.py", line 52, in abort
assert False, msg
AssertionError: Unable to pre-compile async_io
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
I tried to manually install deepspeed==0.14.1., but still get a lot of dependencies conflicts.
Already installed in my env pip, torch-2.1.0+cu118
CUDA_HOME exists, and nvcc is 11.8.
However, I'm getting this error when running pip install -r requirements.txt
... Collecting deepspeed==0.14.1 (from -r requirements.txt (line 11)) Using cached deepspeed-0.14.1.tar.gz (1.3 MB) 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] C:\Users\User\anaconda3\envs\imag\lib\site-packages\torch\nn\modules\transformer.py:20: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), test.c LINK : fatal error LNK1181: no se puede abrir el archivo de entrada 'aio.lib' Traceback (most recent call last): File "", line 2, in
File "", line 34, in
File "C:\Users\User\AppData\Local\Temp\pip-install-z97g9w67\deepspeed_c6daba0ee84e4b7a8ea423e02b7a709f\setup.py", line 180, in
abort(f"Unable to pre-compile {op_name}")
File "C:\Users\User\AppData\Local\Temp\pip-install-z97g9w67\deepspeed_c6daba0ee84e4b7a8ea423e02b7a709f\setup.py", line 52, in abort
assert False, msg
AssertionError: Unable to pre-compile async_io
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
I tried to manually install deepspeed==0.14.1., but still get a lot of dependencies conflicts.