Tibo De Peuter
7bcfa66685
- Install: redirect XDG_CACHE_HOME, UV_CACHE_DIR, MPLCONFIGDIR to
$VSC_SCRATCH before any pip/module activity ($VSC_HOME is only ~3 GB)
- train.pbs:
- Set same cache env vars at job start
- Write run outputs and WandB cache to $VSC_SCRATCH during the run (fast I/O)
- Copy results to $VSC_DATA/runs/<jobid>/ on completion for persistence
- Redirect PBS stdout/stderr to $VSC_DATA/runs/<jobid>/job.{out,err}
- Add cd $PBS_O_WORKDIR as first step (HPC best practice)
80 lines
3.3 KiB
Bash
80 lines
3.3 KiB
Bash
#!/bin/bash
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# scripts/hpc/train.pbs — Submit PPO training as a batch job with qsub.
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#
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# Usage (from project root after cloning into $VSC_HOME):
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# qsub scripts/hpc/train.pbs
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#
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# To target a different GPU cluster (default: joltik):
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# module swap cluster/accelgor && qsub scripts/hpc/train.pbs
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#
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# Available GPU clusters: joltik, accelgor, litleo
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# Debug / interactive: doduo (CPU) or donphan (interactive GPU)
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# ---------------------------------------------------------------------------
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# PBS job directives
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# ---------------------------------------------------------------------------
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#PBS -N brittlestar-ppo
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#PBS -l nodes=1:ppn=8:gpus=1
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#PBS -l walltime=24:00:00
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#PBS -l mem=32gb
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# Logs are redirected inside the script to $VSC_DATA so they persist.
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#PBS -o /dev/null
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#PBS -e /dev/null
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# ---------------------------------------------------------------------------
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set -euo pipefail
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# Always change to the directory from which qsub was called (best practice).
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cd "$PBS_O_WORKDIR"
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# ---------------------------------------------------------------------------
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# Storage routing (see https://docs.hpc.ugent.be/Linux/running_jobs_with_input_output_data/)
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#
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# $VSC_HOME (~3 GB) — project source code only; no writes during jobs
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# $VSC_DATA (~25 GB) — persistent run artefacts (models, final logs)
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# $VSC_SCRATCH (large) — fast I/O during the job; caches; intermediate files
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# ---------------------------------------------------------------------------
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# Redirect Python / pip / uv caches away from $VSC_HOME to scratch (fast I/O).
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export XDG_CACHE_HOME="$VSC_SCRATCH/.cache"
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export UV_CACHE_DIR="$VSC_SCRATCH/.cache/uv"
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export MPLCONFIGDIR="$VSC_SCRATCH/.config/matplotlib"
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mkdir -p "$XDG_CACHE_HOME" "$UV_CACHE_DIR" "$MPLCONFIGDIR"
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# Run outputs: write to $VSC_SCRATCH during the job (fast), then copy to
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# $VSC_DATA at the end for long-term storage.
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RUN_ID="brittlestar_${PBS_JOBID}"
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SCRATCH_RUNDIR="$VSC_SCRATCH/runs/$RUN_ID"
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DATA_RUNDIR="$VSC_DATA/runs/$RUN_ID"
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mkdir -p "$SCRATCH_RUNDIR" "$DATA_RUNDIR"
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# PBS stdout/stderr: redirect into the data directory for persistence.
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exec 1> "$DATA_RUNDIR/job.out" 2> "$DATA_RUNDIR/job.err"
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# ---------------------------------------------------------------------------
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# Environment
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# ---------------------------------------------------------------------------
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module load vsc-venv
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source vsc-venv --activate --modules env/hpc/modules.txt
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# EGL is required for headless MuJoCo — both the physics sim loop and
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# on-demand video rendering to disk. Without this, MuJoCo tries to open an
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# X11 display and fails on compute nodes.
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export MUJOCO_GL=egl
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# Tell WandB to store its local run cache on scratch (fast, large).
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export WANDB_DIR="$SCRATCH_RUNDIR"
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# ---------------------------------------------------------------------------
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# Run
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# ---------------------------------------------------------------------------
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python src/train.py \
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--config configs/production_training.yaml \
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--run_dir "$SCRATCH_RUNDIR"
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# ---------------------------------------------------------------------------
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# Stage out: copy results to persistent VSC_DATA storage.
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# ---------------------------------------------------------------------------
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echo "Copying results from scratch to \$VSC_DATA..."
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cp -r "$SCRATCH_RUNDIR/." "$DATA_RUNDIR/"
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echo "Done. Results at: $DATA_RUNDIR"
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