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37 lines
940 B
Bash
37 lines
940 B
Bash
#!/bin/bash
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#SBATCH --job-name=lejepa_traj
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#SBATCH --output=logs/traj_%A_%a.out
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#SBATCH --error=logs/traj_%A_%a.err
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#SBATCH --partition=gpuq
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#SBATCH --qos=slow_nice
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#SBATCH --gres=gpu:v100:1
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#SBATCH --cpus-per-task=4
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#SBATCH --mem=32G
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#SBATCH --time=24:00:00
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#SBATCH --array=0-6
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# Each task: prerender eval (skipped if exists) + 200k images for one delta,
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# then train 4 lambdas × 3 seeds × 3 inits = 36 training runs
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DELTAS=(1 2 4 8 16 32 64)
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DELTA=${DELTAS[$SLURM_ARRAY_TASK_ID]}
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H5_PATH="data/reacher.h5"
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eval "$(conda shell.bash hook)"
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conda activate pytorch
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export MUJOCO_GL=egl
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mkdir -p logs
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echo "Node: $(hostname) | delta=${DELTA} | Start: $(date)"
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# Step 1: Prerender (eval + this delta)
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python prerender.py eval
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python prerender.py traj --delta "${DELTA}" --h5_path "${H5_PATH}"
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# Step 2: Train
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python run_reacher.py --config configs/reacher.yaml \
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--data_dir "data/reacher/traj/delta=${DELTA}"
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echo "Done: $(date)"
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