Error installing Nvidia Apex for fairseq

I am trying to install the NVIDIA's apex library for faster training in fairseq. The error to the command "pip3 install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" --global-option="--deprecated_fused_adam" --global-option="--xentropy" --global-option="--fast_multihead_attn" ./ " is the following:

/usr/lib/python3/dist-packages/pip/_internal/commands/install.py:255: UserWarning: Disabling all use of wheels due to the use of --build-option / --global-option / --install-option.
cmdoptions.check_install_build_global(options)
Non-user install because site-packages writeable
Created temporary directory: /tmp/pip-ephem-wheel-cache-m63t2gu6
Created temporary directory: /tmp/pip-req-tracker-38_p0cu6
Initialized build tracking at /tmp/pip-req-tracker-38_p0cu6
Created build tracker: /tmp/pip-req-tracker-38_p0cu6
Entered build tracker: /tmp/pip-req-tracker-38_p0cu6
Created temporary directory: /tmp/pip-install-34zv2fpx
Processing /mnt/c/Users/34658/Desktop/HAP-LAP/morphology/apex
Created temporary directory: /tmp/pip-req-build-e8ue0er1
Added file:///mnt/c/Users/34658/Desktop/HAP-LAP/morphology/apex to build tracker '/tmp/pip-req-tracker-38_p0cu6'
Running setup.py (path:/tmp/pip-req-build-e8ue0er1/setup.py) egg_info for package from file:///mnt/c/Users/34658/Desktop/HAP-LAP/morphology/apex
Running command python setup.py egg_info
/usr/local/lib/python3.8/dist-packages/torch/cuda/init.py:52: UserWarning: CUDA initialization: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:100.)
return torch._C._cuda_getDeviceCount() > 0
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-req-build-e8ue0er1/setup.py", line 35, in
_, bare_metal_major, _ = get_cuda_bare_metal_version(cpp_extension.CUDA_HOME)
File "/tmp/pip-req-build-e8ue0er1/setup.py", line 14, in get_cuda_bare_metal_version
raw_output = subprocess.check_output([cuda_dir + "/bin/nvcc", "-V"], universal_newlines=True)
TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'

Warning: Torch did not find available GPUs on this system.
 If your intention is to cross-compile, this is not an error.
By default, Apex will cross-compile for Pascal (compute capabilities 6.0, 6.1, 6.2),
Volta (compute capability 7.0), Turing (compute capability 7.5),
and, if the CUDA version is >= 11.0, Ampere (compute capability 8.0).
If you wish to cross-compile for a single specific architecture,
export TORCH_CUDA_ARCH_LIST="compute capability" before running setup.py.

Cleaning up...
Removing source in /tmp/pip-req-build-e8ue0er1
Removed file:///mnt/c/Users/34658/Desktop/HAP-LAP/morphology/apex from build tracker '/tmp/pip-req-tracker-38_p0cu6'
Removed build tracker: '/tmp/pip-req-tracker-38_p0cu6'
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Exception information:
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/pip/_internal/cli/base_command.py", line 186, in _main
status = self.run(options, args)
File "/usr/lib/python3/dist-packages/pip/_internal/commands/install.py", line 357, in run
resolver.resolve(requirement_set)
File "/usr/lib/python3/dist-packages/pip/_internal/legacy_resolve.py", line 177, in resolve
discovered_reqs.extend(self._resolve_one(requirement_set, req))
File "/usr/lib/python3/dist-packages/pip/_internal/legacy_resolve.py", line 333, in _resolve_one
abstract_dist = self._get_abstract_dist_for(req_to_install)
File "/usr/lib/python3/dist-packages/pip/_internal/legacy_resolve.py", line 282, in _get_abstract_dist_for
abstract_dist = self.preparer.prepare_linked_requirement(req)
File "/usr/lib/python3/dist-packages/pip/_internal/operations/prepare.py", line 515, in prepare_linked_requirement
abstract_dist = _get_prepared_distribution(
File "/usr/lib/python3/dist-packages/pip/_internal/operations/prepare.py", line 95, in _get_prepared_distribution
abstract_dist.prepare_distribution_metadata(finder, build_isolation)
File "/usr/lib/python3/dist-packages/pip/_internal/distributions/sdist.py", line 40, in prepare_distribution_metadata
self.req.prepare_metadata()
File "/usr/lib/python3/dist-packages/pip/_internal/req/req_install.py", line 564, in prepare_metadata
self.metadata_directory = self._generate_metadata()
File "/usr/lib/python3/dist-packages/pip/_internal/req/req_install.py", line 538, in _generate_metadata
return generate_metadata_legacy(
File "/usr/lib/python3/dist-packages/pip/_internal/operations/build/metadata_legacy.py", line 115, in generate_metadata
call_subprocess(
File "/usr/lib/python3/dist-packages/pip/_internal/utils/subprocess.py", line 242, in call_subprocess
raise InstallationError(exc_msg)
pip._internal.exceptions.InstallationError: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

I have tried with sudo and nothing changed. The steps for installation that I followed are in this link: https://github.com/pytorch/fairseq. Thank you in advance.

Start with setup.py, especially get_cuda_bare_metal_version and the pip command shown in the report. Reproduce the python setup.py egg_info failure and inspect how the missing CUDA_HOME value is handled; done means the reported Apex installation command completes successfully or the failure is reported clearly.