Fix some previous versions installation instructions

[Caenorst]

Fixed some installation instructions down from 1.11.0 to 1.8.1

I didn't test those lines but I checked all the repositories manually:

• https://download.pytorch.org/whl/torch/
• https://anaconda.org/conda-forge/pytorch/files
• https://anaconda.org/pytorch/pytorch/files
• https://download.pytorch.org/whl/torchvision/
• https://anaconda.org/conda-forge/torchvision/files
• https://anaconda.org/pytorch/torchvision/files

Summary:

• Added some cuda version missing (mostly 11.0 and 11.2 from conda-forge)
• Added installation instructions for torch==1.10.2
• Fix some repository that are wrongly assigned (example: pytorch==1.10.0 with cuda 11.3 doesn't have any file in conda-forge)
• removed installation instruction for ROCM 4.0.1 since there is no torchvision with this version on https://download.pytorch.org/whl/torchvision/
• Remove mismatch torch / cuda (example: torch==1.9.0 doesn't have a cuda==11.3)

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[ptrblck]

@Caenorst Did you verify all install commands?
E.g. running this in a new and clean environment:

conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.0 -c conda-forge

I get:

PackagesNotFoundError: The following packages are not available from current channels:

  - torchaudio==0.11.0

Removing torchaudio tries to install the CPU-only binaries:

conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.0 -c conda-forge
Collecting package metadata (current_repodata.json): done
Solving environment: done
...
    pytorch-1.11.0             |cpu_py38h39c826d_2        49.7 MB  conda-forge
    tbb-2021.5.0               |       h924138e_1         1.9 MB  conda-forge
    torchvision-0.12.0         |cpu_py38hc1c71b3_0         7.5 MB  conda-forge

[Caenorst]

I actually haven't tested them all since installing pytorch take quite some time, but I tried to verify the existence of the wheels in the repository, unfortunately for some reason torchaudio on conda-forge is private.

I'm gonna reduce the PR to what i've been testing (and to what I've noticed is wrong in the current recommendations)

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