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Description
After error installing causal_conv1d, I downloaded "causal_conv1d-1.3.0.post1+cu118torch1.12cxx11abiFALSE-cp310-cp310-linux_x86_64.whl" and pip installed it directly as suggested in another issue ticket.
However, afterwards i tried pip install mamba-ssm, and i got an error:
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [23 lines of output]
/localscratch/as7438/as7438/pip-build-env-jmrxpe19/overlay/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.)
cpu = _conversion_method_template(device=torch.device("cpu"))
:118: UserWarning: mamba_ssm 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.
torch.__version__ = 2.7.0+cu126
Traceback (most recent call last):
line 143, in get_requires_for_build_wheel
return hook(config_settings)
File "/localscratch/as7438/as7438/pip-build-env-jmrxpe19/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 331, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=[])
File "/localscratch/as7438/as7438/pip-build-env-jmrxpe19/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 301, in _get_build_requires
self.run_setup()
File "/localscratch/as7438/as7438/pip-build-env-jmrxpe19/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 317, in run_setup
exec(code, locals())
File "", line 188, in
NameError: name 'bare_metal_version' is not defined
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip.