Using a different version of libraries

[AadityaBodke]

Running pip3 install torch==1.6.0 torchvision==0.7.0 -f https://download.pytorch.org/whl/cu101/torch_stable.html

Gives.................

Looking in links: https://download.pytorch.org/whl/cu101/torch_stable.html
ERROR: Could not find a version that satisfies the requirement torch==1.6.0 (from versions: 1.8.0, 1.8.1, 1.9.0, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0)
ERROR: No matching distribution found for torch==1.6.0

Running conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1 -c pytorch

Gives....................

Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.

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

• cudatoolkit=10.1
• pytorch==1.6.0
• torchvision==0.7.0

Current channels:

• https://conda.anaconda.org/pytorch/linux-aarch64
• https://conda.anaconda.org/pytorch/noarch
• https://conda.anaconda.org/conda-forge/linux-aarch64
• https://conda.anaconda.org/conda-forge/noarch
• https://repo.anaconda.com/pkgs/main/linux-aarch64
• https://repo.anaconda.com/pkgs/main/noarch
• https://repo.anaconda.com/pkgs/r/linux-aarch64
• https://repo.anaconda.com/pkgs/r/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

https://anaconda.org

and use the search bar at the top of the page.

Since I cannot install the required versions, will installing higher versions break the code?

Thanks for your amazing work.

[SilvioGiancola]

I cannot find this command line pip3 install torch==1.6.0 torchvision==0.7.0 -f https://download.pytorch.org/whl/cu101/torch_stable.html anywhere in that repo, where does that come from?

Can you please tell us more about which algorithm you are referring to? What's your OS? What's your GPU and CUDA version?

This is the code we provide for NetVLAD++, and it works well on my end because I have CUDA 10.1 installed on an Ubuntu 18.04 workstation.

conda create -y -n SoccerNetv2-AdvancedPooling python=3.8
conda activate SoccerNetv2-AdvancedPooling
conda install -y pytorch=1.6 torchvision=0.7 cudatoolkit=10.1 -c pytorch
pip install SoccerNet matplotlib sklearn