This issue has suddenly arisen whenever I run torch.cuda.is_available.

UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at  /opt/conda/conda-bld/pytorch_1603729009598/work/c10/cuda/CUDAFunctions.cpp:100.)`

Output of collect_env.py

Collecting environment information…
PyTorch version: 1.7.0
Is debug build: True
CUDA used to build PyTorch: 10.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.2 LTS (x86_64)
GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31
Python version: 3.8.8 | packaged by conda-forge | (default, Feb 20 2021, 16:22:27)  [GCC 9.3.0] (64-bit runtime)
Python platform: Linux-5.11.0-25-generic-x86_64-with-glibc2.10
Is CUDA available: False
CUDA runtime version: 10.1.243
GPU models and configuration: GPU 0: GeForce GTX 1080 Ti
Nvidia driver version: 450.119.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Versions of relevant libraries:
[pip3] geotorch==0.2.0
[pip3] numpy==1.19.2
[pip3] numpydoc==1.1.0
[pip3] torch==1.7.0
[pip3] torch-cluster==1.5.8
[pip3] torch-geometric==1.6.3
[pip3] torch-geometric-temporal==0.0.11
[pip3] torch-scatter==2.0.5
[pip3] torch-sparse==0.6.8
[pip3] torch-spline-conv==1.2.0
[pip3] torchaudio==0.7.0a0+ac17b64
[pip3] torchcontrib==0.0.2
[pip3] torchdiffeq==0.2.1
[pip3] torchvision==0.8.1
[conda] blas                      1.0                         mkl
[conda] cudatoolkit               10.1.243             h6bb024c_0
[conda] geotorch                  0.2.0                    pypi_0    pypi
[conda] mkl                       2020.4             h726a3e6_304    conda-forge
[conda] mkl-service               2.3.0            py38h1e0a361_2    conda-forge
[conda] mkl_fft                   1.3.0            py38h5c078b8_1    conda-forge
[conda] mkl_random                1.2.0            py38hc5bc63f_1    conda-forge
[conda] numpy                     1.19.2           py38h54aff64_0
[conda] numpy-base                1.19.2           py38hfa32c7d_0
[conda] numpydoc                  1.1.0                      py_1    conda-forge
[conda] pytorch                   1.7.0           py3.8_cuda10.1.243_cudnn7.6.3_0    pytorch
[conda] torch-cluster             1.5.8                    pypi_0    pypi
[conda] torch-geometric           1.6.3                    pypi_0    pypi
[conda] torch-geometric-temporal  0.0.11                   pypi_0    pypi
[conda] torch-scatter             2.0.5                    pypi_0    pypi
[conda] torch-sparse              0.6.8                    pypi_0    pypi
[conda] torch-spline-conv         1.2.0                    pypi_0    pypi
[conda] torchaudio                0.7.0                      py38    pytorch
[conda] torchdiffeq               0.2.1                    pypi_0    pypi
[conda] torchvision               0.8.1                py38_cu101    pytorch

Output of nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243

Finally, output of nvidia-smi

±----------------------------------------------------------------------------+
| NVIDIA-SMI 450.119.03   Driver Version: 450.119.03   CUDA Version: 11.0     |
|-------------------------------±---------------------±---------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  GeForce GTX 108…  Off  | 00000000:04:00.0  On |                  N/A |
| 14%   51C    P5    12W / 250W |    255MiB / 11177MiB |      1%      Default |
|                               |                      |                  N/A |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A       933      G   /usr/lib/xorg/Xorg                 35MiB |
|    0   N/A  N/A      1506      G   /usr/lib/xorg/Xorg                 78MiB |
|    0   N/A  N/A      1632      G   /usr/bin/gnome-shell              126MiB |
|    0   N/A  N/A      3021      G   /usr/lib/firefox/firefox            2MiB |
±----------------------------------------------------------------------------+

Any help would be appreciated.