ci(hpc): add slurm batch script for training

scripts/hpc_train.slurm

@@ -0,0 +1,33 @@
+#!/bin/bash
+#SBATCH --job-name=brittle-star-ppo
+#SBATCH --output=runs/slurm_%j.out
+#SBATCH --error=runs/slurm_%j.err
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=8
+#SBATCH --mem=32G
+#SBATCH --time=24:00:00
+#SBATCH --gpus=1
+# Adjust --partition to your cluster (check with `sinfo` on the login node)
+#SBATCH --partition=gpu
+
+# -- Load the exact same modules as in hpc_install.sh -------------------------
+ml load jax/0.4.25-gfbf-2023a-CUDA-12.1.1
+ml load Flax/0.8.4-gfbf-2023a-CUDA-12.1.1
+ml load Optax/0.2.2-gfbf-2023a-CUDA-12.1.1
+ml load wandb/0.16.1-GCC-12.3.0
+ml load matplotlib/3.7.2-gfbf-2023a
+ml load PyYAML/6.0-GCCcore-12.3.0
+ml load FFmpeg/5.1.2-GCCcore-12.3.0
+
+# -- Activate the system-site-packages venv -----------------------------------
+source "$VSC_DATA/venvs/sel3_${VSC_INSTITUTE_CLUSTER}/bin/activate"
+
+# -- HPC-specific environment flags -------------------------------------------
+export MUJOCO_GL=egl          # Headless OpenGL via EGL (no display required)
+export WANDB_MODE=offline     # Sync to WandB after the job (no outbound internet needed)
+
+# -- Run from the project root -------------------------------------------------
+cd "$SLURM_SUBMIT_DIR"
+
+python src/train.py --config configs/production_training.yaml