error: command '/usr/bin/nvcc' failed with exit status 1

Hello,

When running apex command python setup.py install --cuda_ext --cpp_ext I get the following error error: command '/usr/bin/nvcc' failed with exit status 1

Here's my system details:

cudatoolkit: 10.0.130
Pytorch: 1.4.0
Python: 3.6.9
GCC: 7.3.0

$which gcc
/usr/bin/gcc

$which nvcc
/usr/bin/nvcc

$nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85

$which g++
/usr/bin/g++

$which make
/usr/bin/make

vendor   : NVIDIA Corporation
model    : GP107M [GeForce GTX 1050 Mobile]
driver   : nvidia-driver-450

$nvidia-smi
 NVIDIA-SMI 450.80.02    Driver Version: 450.80.02    CUDA Version: 11.0  

I also should mention that I was having this error raised when I was trying to install apex:

"Cuda extensions are being compiled with a version of Cuda that does " +
                           "not match the version used to compile Pytorch binaries.  " +
                           "Pytorch binaries were compiled with Cuda {}.\n".format(torch.version.cuda) +
                           "In some cases, a minor-version mismatch will not cause later errors:  " +
                           "https://github.com/NVIDIA/apex/pull/323#discussion_r287021798.  "
                           "You can try commenting out this check (at your own risk)."

So I just commented the check to avoid this.
if (bare_metal_major != torch_binary_major) or (bare_metal_minor != torch_binary_minor):

I see that maybe there are some conflicts somewhere: nvidia-smi shows cuda version of 11.0, nvcc -V gives 9.1 and I am using 10.0. Maybe I got the wrong driver ?
Also I see that the path of nvcc is /usr/bin/nvcc instead of /usr/cuda/bin/nvcc

Any ideas on the source of this error error: command '/usr/bin/nvcc' failed with exit status 1 ?

Thank you

Start with the reported python setup.py install --cuda_ext --cpp_ext command and the CUDA-version check shown in the issue. Compare the reported PyTorch, toolkit, nvcc, driver, GCC, and CUDA versions, then capture the compiler output beyond the exit status; done means identifying the specific compatibility or build failure and documenting a reproducible resolution.