Hi,
PyTorch 1.6 does not seem to detect CUDA.
I installed it with the following command:
conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
Code example
When I want to test whether CUDA is available:
>>> torch.cuda.is_available()
False

System Info
python -m torch.utils.collect_env
returns
Collecting environment information...
PyTorch version: 1.6.0
Is debug build: No
CUDA used to build PyTorch: 10.2

OS: Arch Linux
GCC version: (GCC) 10.2.0
CMake version: Could not collect

Python version: 3.8
Is CUDA available: No
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: GeForce RTX 2080 Ti
Nvidia driver version: 455.28
cuDNN version: Probably one of the following:
/usr/lib/libcudnn.so.8.0.4
/usr/lib/libcudnn_adv_infer.so.8.0.4
/usr/lib/libcudnn_adv_train.so.8.0.4
/usr/lib/libcudnn_cnn_infer.so.8.0.4
/usr/lib/libcudnn_cnn_train.so.8.0.4
/usr/lib/libcudnn_ops_infer.so.8.0.4
/usr/lib/libcudnn_ops_train.so.8.0.4

Versions of relevant libraries:
[pip3] numpy==1.18.5
[pip3] torch==1.6.0
[pip3] torchtext==0.7.0
[pip3] torchvision==0.7.0
[conda] blas                      1.0                         mkl  
[conda] cudatoolkit               10.2.89              hfd86e86_1  
[conda] mkl                       2020.2                      256  
[conda] mkl-service               2.3.0            py38he904b0f_0  
[conda] mkl_fft                   1.2.0            py38h23d657b_0  
[conda] mkl_random                1.1.1            py38h0573a6f_0  
[conda] numpy                     1.19.2           py38h54aff64_0  
[conda] numpy-base                1.19.2           py38hfa32c7d_0  
[conda] pytorch                   1.6.0           py3.8_cuda10.2.89_cudnn7.6.5_0    pytorch
[conda] torchtext                 0.7.0                    pypi_0    pypi
[conda] torchvision               0.7.0                py38_cu102    pytorch

My specifications

OS: Arch Linux
PyTorch version: 1.6
Python version: 3.8
CUDA/cuDNN version: 11.1 and 10.2 (tested with both)
GPU models and configuration: GeForce RTX 2080 Ti


Thank you in advance for your help.