jupyterhub / batchspawner

Custom Spawner for Jupyterhub to start servers in batch scheduled systems
BSD 3-Clause "New" or "Revised" License
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Add req_condaenv to BatchSpawnerBase #225

Closed TerenceLiu98 closed 1 year ago

TerenceLiu98 commented 3 years ago

Specify the conda environment or python environment with req_condaenv in BatchSpawnerBase

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rcthomas commented 3 years ago

Hi @TerenceLiu98 can you give an example of how this is used?

TerenceLiu98 commented 3 years ago

@rcthomas Here is am example:

c.SlurmSpawner.batch_script = '''#!/bin/bash
#SBATCH --chdir={homedir}
#SBATCH --output={homedir}/jlab_slurmspawner_%j.log
#SBATCH --partition={partition}
#SBATCH --time={runtime}
#SBATCH --cpus-per-task={nprocs}
#SBATCH --mem={memory}
#SBATCH --gres={gres}
#SBATCH --job-name=jlab-spawner

module anaconda/5.3.1
conda activate {condaenv}
{cmd}
'''

c.ProfilesSpawner.profiles = [
     ('GPU Node with PyTorch-1.9.0', 'GPU-Node #1', 'batchspawner.SlurmSpawner', dict(req_partition='GPU-Node', req_nprocs='4', req_runtime='01:00:00', req_memory='8192M', req_gres="gpu:teslaV100:1", req_condaenv="PyTorch")),
     ('GPU Node with Tensorflow 2.5.0', 'GPU-Node #2', 'batchspawner.SlurmSpawner', dict(req_partition='GPU-Node', req_nprocs='4', req_runtime='01:00:00', req_memory='8192M', req_gres="gpu:teslaV100:1", req_condaenv="Tensorflow-GPU")),
]

This is suitable for the public python environment. Each environment needs jupyter & batchspawner

TerenceLiu98 commented 3 years ago

Actually, I am now facing #217 and I don't know what to do :( But I am sure it is not caused by req_condaenv(solved

mbmilligan commented 1 year ago

Hi, I am going to close this old issue. For the benefit of future people searching for this, I would note, there is a req_prologue variable already:

req_prologue = Unicode(
    "",
    help="Script to run before single user server starts.",
).tag(config=True)

You could activate a conda or venv environment by inserting the appropriate command there.