ERROR: Failed to build 'mmcv' when getting requirements to build wheel

安装mmcv时报错，部分输出信息如下：

    File "D:\python\SCAIL-2\py310\lib\site-packages\torch\utils\cpp_extension.py", line 545, in _check_cuda_version
      raise RuntimeError(CUDA_MISMATCH_MESSAGE, cuda_str_version, torch.version.cuda)
  RuntimeError: ('The detected CUDA version (%s) mismatches the version that was used to compilePyTorch (%s). Please make sure to use the same CUDA versions.', '13.0', '12.8')
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for mmcv
Failed to build mmcv

Collecting mmcv>=2.2.0 (from -r requirements.txt (line 5))
Downloading mmcv-2.2.0.tar.gz (479 kB)
Installing build dependencies … done
Getting requirements to build wheel … error
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [20 lines of output]
Traceback (most recent call last):
File “D:\python\SCAIL-2\py310\Lib\site-packages\pip_vendor\pyproject_hooks_in_process_in_process.py”, line 389, in
main()
File “D:\python\SCAIL-2\py310\Lib\site-packages\pip_vendor\pyproject_hooks_in_process_in_process.py”, line 373, in main
json_out[“return_val”] = hook(**hook_input[“kwargs”])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “D:\python\SCAIL-2\py310\Lib\site-packages\pip_vendor\pyproject_hooks_in_process_in_process.py”, line 143, in get_requires_for_build_wheel
return hook(config_settings)
^^^^^^^^^^^^^^^^^^^^^
File “C:\Users\Administrator\AppData\Local\Temp\pip-build-env-n59_bxku\overlay\Lib\site-packages\setuptools\build_meta.py”, line 333, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=[])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “C:\Users\Administrator\AppData\Local\Temp\pip-build-env-n59_bxku\overlay\Lib\site-packages\setuptools\build_meta.py”, line 301, in _get_build_requires
self.run_setup()
File “C:\Users\Administrator\AppData\Local\Temp\pip-build-env-n59_bxku\overlay\Lib\site-packages\setuptools\build_meta.py”, line 520, in run_setup
super().run_setup(setup_script=setup_script)
File “C:\Users\Administrator\AppData\Local\Temp\pip-build-env-n59_bxku\overlay\Lib\site-packages\setuptools\build_meta.py”, line 317, in run_setup
exec(code, locals())
File “”, line 5, in
ModuleNotFoundError: No module named ‘pkg_resources’
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed to build ‘mmcv’ when getting requirements to build wheel

可以直接安装MMCV whl，mmcv whl版本如下：

from versions: 0.2.0, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.2.5, 0.2.6, 0.2.7, 0.2.8, 0.2.9, 0.2.10, 0.2.11, 0.2.12, 0.2.13, 0.2.14, 0.2.15, 0.2.16, 0.3.0, 0.3.1, 0.3.2, 0.4.0, 0.4.2, 0.4.3, 0.4.4, 0.5.0, 0.5.1, 0.5.3, 0.5.4, 0.5.5, 0.5.6, 0.5.7, 0.5.8, 0.5.9, 0.6.0, 0.6.1, 0.6.2, 1.0rc0, 1.0rc2, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.5, 1.1.6, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 1.2.7, 1.3.0, 1.3.1, 1.3.3, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.3.8, 1.3.9, 1.3.10, 1.3.11, 1.3.12, 1.3.13, 1.3.14, 1.3.15, 1.3.16, 1.3.17, 1.3.18, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.4.6, 1.4.7, 1.4.8, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 2.0.0rc1, 2.0.0rc2, 2.0.0rc3, 2.0.0rc4, 2.0.0, 2.0.1, 2.1.0, 2.2.0, 2.2.0+a8073c7pt2.3.0cpu, 2.2.0+a8073c7pt2.3.0cu118, 2.2.0+a8073c7pt2.3.0cu121, 2.2.0+a8073c7pt2.3.1cpu, 2.2.0+a8073c7pt2.3.1cu118, 2.2.0+a8073c7pt2.3.1cu121, 2.2.0+a8073c7pt2.4.0cpu, 2.2.0+a8073c7pt2.4.0cu118, 2.2.0+a8073c7pt2.4.0cu121, 2.2.0+a8073c7pt2.4.0cu124, 2.2.0+a8073c7pt2.4.1cpu, 2.2.0+a8073c7pt2.4.1cu118, 2.2.0+a8073c7pt2.4.1cu121, 2.2.0+a8073c7pt2.4.1cu124, 2.2.0+a8073c7pt2.5.0cpu, 2.2.0+a8073c7pt2.5.0cu118, 2.2.0+a8073c7pt2.5.0cu121, 2.2.0+a8073c7pt2.5.0cu124, 2.2.0+a8073c7pt2.5.1cpu, 2.2.0+a8073c7pt2.5.1cu118, 2.2.0+a8073c7pt2.5.1cu121, 2.2.0+a8073c7pt2.5.1cu124, 2.2.0+a8073c7pt2.6.0cpu, 2.2.0+a8073c7pt2.6.0cu118, 2.2.0+a8073c7pt2.6.0cu124, 2.2.0+a8073c7pt2.6.0cu126, 2.2.0+a8073c7pt2.7.0cpu, 2.2.0+a8073c7pt2.7.0cu118, 2.2.0+a8073c7pt2.7.0cu126, 2.2.0+a8073c7pt2.7.0cu128, 2.2.0+a8073c7pt2.7.1cpu, 2.2.0+a8073c7pt2.7.1cu118, 2.2.0+a8073c7pt2.7.1cu126, 2.2.0+a8073c7pt2.7.1cu128, 2.2.0+a8073c7pt2.8.0cpu, 2.2.0+a8073c7pt2.8.0cu126, 2.2.0+a8073c7pt2.8.0cu128, 2.2.0+a8073c7pt2.8.0cu129, 2.2.0+a8073c7pt2.9.0cpu, 2.2.0+a8073c7pt2.9.0cu126, 2.2.0+a8073c7pt2.9.0cu128, 2.2.0+a8073c7pt2.9.0cu130, 2.2.0+a8073c7pt2.9.1cpu, 2.2.0+a8073c7pt2.9.1cu126, 2.2.0+a8073c7pt2.9.1cu128, 2.2.0+a8073c7pt2.9.1cu130, 2.2.0+a8073c7pt2.10.0cpu, 2.2.0+a8073c7pt2.10.0cu126, 2.2.0+a8073c7pt2.10.0cu128, 2.2.0+a8073c7pt2.10.0cu130, 2.2.0+a8073c7pt2.11.0cpu, 2.2.0+a8073c7pt2.11.0cu126, 2.2.0+a8073c7pt2.11.0cu128, 2.2.0+a8073c7pt2.11.0cu130, 2.2.0+a8073c7pt2.12.0cpu, 2.2.0+a8073c7pt2.12.0cu126, 2.2.0+a8073c7pt2.12.0cu130, 2.2.0+a8073c7pt2.12.0cu132, 2.2.0+pt1.11.0cpu, 2.2.0+pt1.11.0cu113, 2.2.0+pt1.12.0cpu, 2.2.0+pt1.12.0cu113, 2.2.0+pt1.12.0cu116, 2.2.0+pt1.12.1cpu, 2.2.0+pt1.12.1cu113, 2.2.0+pt1.12.1cu116, 2.2.0+pt2.0.0cpu, 2.2.0+pt2.0.0cu117, 2.2.0+pt2.0.0cu118, 2.2.0+pt2.0.1cpu, 2.2.0+pt2.0.1cu117, 2.2.0+pt2.0.1cu118, 2.2.0+pt2.1.0cpu, 2.2.0+pt2.1.0cu118, 2.2.0+pt2.1.0cu121, 2.2.0+pt2.1.1cpu, 2.2.0+pt2.1.1cu118, 2.2.0+pt2.1.1cu121, 2.2.0+pt2.1.2cpu, 2.2.0+pt2.1.2cu118, 2.2.0+pt2.1.2cu121, 2.2.0+pt2.2.0cpu, 2.2.0+pt2.2.0cu118, 2.2.0+pt2.2.0cu121, 2.2.0+pt2.2.1cpu, 2.2.0+pt2.2.1cu118, 2.2.0+pt2.2.1cu121, 2.2.0+pt2.2.2cpu, 2.2.0+pt2.2.2cu118, 2.2.0+pt2.2.2cu121, 2.2.0+pt2.3.0cpu, 2.2.0+pt2.3.0cu118, 2.2.0+pt2.3.0cu121, 2.2.0+pt2.3.1cpu, 2.2.0+pt2.3.1cu118, 2.2.0+pt2.3.1cu121, 2.2.0+pt2.4.0cpu, 2.2.0+pt2.4.0cu118, 2.2.0+pt2.4.0cu121, 2.2.0+pt2.4.0cu124, 2.2.0+pt2.4.1cpu, 2.2.0+pt2.4.1cu118, 2.2.0+pt2.4.1cu121, 2.2.0+pt2.4.1cu124, 2.2.0+pt2.5.0cpu, 2.2.0+pt2.5.0cu118, 2.2.0+pt2.5.0cu121, 2.2.0+pt2.5.0cu124, 2.2.0+pt2.5.1cpu, 2.2.0+pt2.5.1cu118, 2.2.0+pt2.5.1cu121, 2.2.0+pt2.5.1cu124, 2.2.0+pt2.6.0cpu, 2.2.0+pt2.6.0cu118, 2.2.0+pt2.6.0cu124, 2.2.0+pt2.6.0cu126, 2.2.0+pt2.7.0cpu, 2.2.0+pt2.7.0cu118, 2.2.0+pt2.7.0cu126, 2.2.0+pt2.7.0cu128, 2.2.0+pt2.7.1cpu, 2.2.0+pt2.7.1cu118, 2.2.0+pt2.7.1cu126, 2.2.0+pt2.7.1cu128, 2.2.0+pt2.8.0cpu, 2.2.0+pt2.8.0cu126, 2.2.0+pt2.8.0cu128, 2.2.0+pt2.8.0cu129)

如环境是CU128+torch 2.8.0可通过下面命令安装

pip install --extra-index-url https://miropsota.github.io/torch_packages_builder mmcv==2.2.0+pt2.8.0cu128