Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Panel
panelIconId1f40d
panelIcon:snake:
panelIconText🐍
bgColor#E3FCEF

This example is about installing and using two Python packages pytorch and multiqc on Sol.

...

The “conda install” on the above page gives the installation commands:

...

The conda part in the red circle needs to be changed to mamba, and the bioconda part in the blue box is the channel name of this multiqc package. Channel is similar to the name of an online folder, that mamba can find and download the correct package. This is important for the next step.

...

  1. Connect to the VPN

  2. Open a command line interface on Sol by navigating to sol.asu.edu on your browser and
    selecting the "Sol Shell Access" option from the "System" menu option. Or by SSHing into
    Sol using the command ssh <asurite>@sol.asu.edu

  3. interactive -p htc -c 4 -t 30

  4. module load mamba/latest

  5. module load cuda-12.4.1-gcc-12.1.0

  6. Now we are ready to create env and install packages. It can be done in seperated commands, but the fastest way is to do it in a single command, here is how:

    1. Create an environment:

      Code Block
      mamba create -n myENV -c conda-forge python=3
      source activate myENV
    2. Install Pytorch using the command found in step 1

      Code Block
      mamba install -c pytorch -c nvidia pytorch torchvision torchaudio pytorch-cuda=12.4
    3. Install Multiqc using the command found in step 1

      Code Block
      mamba install -c bioconda multiqc
    4. Combine command from a, b, c into the fastest single command:

      Code Block
      mamba create -n myENV -c conda-forge -c pytorch -c nvidia -c bioconda python=3 multiqc pytorch torchvision torchaudio pytorch-cuda=12.4
  7. And answer Y to the promoted question, if everything looks fine

  8. Wait till the installation finish

...