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Now use either conda or pip to install your required python packages to the Miniforge environment.
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To install larger packages, like Tensorflow, you must first start an interactive job with adequate compute and memory resources to install packages. The login nodes restrict memory to 2GB per user, which may cause some large packages to crash.
After it is running, you’ll be redirected to a compute node. From there, run singularity to setup on conda environment, same as you were doing on login node.
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### Configure iPython Kernels
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To create a kernel named my_env copy the template files to your home directory.
If you used a different overlay (/scratch/$USER/my_env/overlay-15GB-500K.ext3 shown above) or .sif file (/scratch/work/public/singularity/cuda12.3.2-cudnn9.0.0-ubuntu-22.04.4.sif shown above), you MUST change those lines in the command above to the files you used.
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