The PyTorch binaries are not build with CUDA11.5 and you can pick the 10.2 or 11.3 CUDA runtimes.
Using this install command works for me:
pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Looking in links: https://download.pytorch.org/whl/cu113/torch_stable.html
Collecting torch==1.10.0+cu113
  Downloading https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl (1821.4 MB)
     |████████████████████████████████| 1821.4 MB 20.9 MB/s            
Collecting torchvision==0.11.1+cu113
  Downloading https://download.pytorch.org/whl/cu113/torchvision-0.11.1%2Bcu113-cp38-cp38-linux_x86_64.whl (21.8 MB)
     |████████████████████████████████| 21.8 MB 19.2 MB/s            
Collecting torchaudio==0.10.0+cu113
  Downloading https://download.pytorch.org/whl/cu113/torchaudio-0.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl (2.9 MB)
     |████████████████████████████████| 2.9 MB 9.0 MB/s            
Collecting typing-extensions
  Downloading typing_extensions-3.10.0.2-py3-none-any.whl (26 kB)
Collecting pillow!=8.3.0,>=5.3.0
  Downloading Pillow-8.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)
     |████████████████████████████████| 3.1 MB 6.6 MB/s            
Collecting numpy
  Downloading numpy-1.21.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)
     |████████████████████████████████| 15.7 MB 80.8 MB/s            
Installing collected packages: typing-extensions, torch, pillow, numpy, torchvision, torchaudio
Successfully installed numpy-1.21.3 pillow-8.4.0 torch-1.10.0+cu113 torchaudio-0.10.0+cu113 torchvision-0.11.1+cu113 typing-extensions-3.10.0.2