Hi, I installed torch 1.8.1 through conda and have RTX 3080 GPU.
when I run torch I’m getting
GeForce RTX 3080 with CUDA capability sm_86 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the GeForce RTX 3080 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

conda list:
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       1_gnu    conda-forge
blas                      1.0                         mkl  
bzip2                     1.0.8                h7f98852_4    conda-forge
ca-certificates           2020.12.5            ha878542_0    conda-forge
certifi                   2020.12.5        py38h578d9bd_1    conda-forge
cudatoolkit               11.1.1               h6406543_8    conda-forge
ffmpeg                    4.3                  hf484d3e_0    pytorch
freetype                  2.10.4               h0708190_1    conda-forge
gmp                       6.2.1                h58526e2_0    conda-forge
gnutls                    3.6.13               h85f3911_1    conda-forge
intel-openmp              2020.2                      254  
jpeg                      9b                   h024ee3a_2  
lame                      3.100             h7f98852_1001    conda-forge
lcms2                     2.12                 h3be6417_0  
ld_impl_linux-64          2.33.1               h53a641e_7  
libffi                    3.3                  he6710b0_2  
libgcc-ng                 9.3.0               h2828fa1_19    conda-forge
libgomp                   9.3.0               h2828fa1_19    conda-forge
libiconv                  1.16                 h516909a_0    conda-forge
libpng                    1.6.37               h21135ba_2    conda-forge
libstdcxx-ng              9.3.0               h6de172a_19    conda-forge
libtiff                   4.1.0                h2733197_1  
libuv                     1.41.0               h7f98852_0    conda-forge
lz4-c                     1.9.3                h9c3ff4c_0    conda-forge
mkl                       2020.2                      256  
mkl-service               2.3.0            py38he904b0f_0  
mkl_fft                   1.3.0            py38h54f3939_0  
mkl_random                1.1.1            py38h0573a6f_0  
ncurses                   6.2                  he6710b0_1  
nettle                    3.6                  he412f7d_0    conda-forge
ninja                     1.10.2               h4bd325d_0    conda-forge
numpy                     1.19.2           py38h54aff64_0  
numpy-base                1.19.2           py38hfa32c7d_0  
olefile                   0.46               pyh9f0ad1d_1    conda-forge
openh264                  2.1.1                h780b84a_0    conda-forge
openssl                   1.1.1k               h7f98852_0    conda-forge
pillow                    8.2.0            py38he98fc37_0  
pip                       21.0.1           py38h06a4308_0  
python                    3.8.8                hdb3f193_5  
python_abi                3.8                      1_cp38    conda-forge
pytorch                   1.8.1           py3.8_cuda11.1_cudnn8.0.5_0    pytorch
readline                  8.1                  h27cfd23_0  
setuptools                52.0.0           py38h06a4308_0  
six                       1.15.0           py38h06a4308_0  
sqlite                    3.35.4               hdfb4753_0  
tk                        8.6.10               hbc83047_0  
torchaudio                0.8.1                      py38    pytorch
torchvision               0.9.1                py38_cu111    pytorch
typing_extensions         3.7.4.3                    py_0    conda-forge
wheel                     0.36.2             pyhd3eb1b0_0  
xz                        5.2.5                h7b6447c_0  
zlib                      1.2.11               h7b6447c_3  
zstd                      1.4.9                ha95c52a_0    conda-forge


nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 455.32.00    Driver Version: 455.32.00    CUDA Version: 11.1     |
|-------------------------------+----------------------+----------------------+
| 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 RTX 3080    On   | 00000000:65:00.0  On |                  N/A |
|  0%   54C    P8    34W / 340W |    321MiB / 10014MiB |     10%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1987      G   /usr/lib/xorg/Xorg                 18MiB |
|    0   N/A  N/A      2130      G   /usr/bin/gnome-shell               64MiB |
|    0   N/A  N/A      3878      G   /usr/lib/xorg/Xorg                129MiB |
|    0   N/A  N/A      4011      G   /usr/bin/gnome-shell               87MiB |
|    0   N/A  N/A      5999      G   ...mviewer/tv_bin/TeamViewer       16MiB |
+-----------------------------------------------------------------------------+

can you please assist?