File size: 2,833 Bytes
2af0e94 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | #!/bin/bash -l
#SBATCH --job-name=om-single
#SBATCH --account=AIRR-P51-DAWN-GPU
#SBATCH --partition=pvc9
#SBATCH --nodes=1
#SBATCH --gres=gpu:4
#SBATCH --ntasks-per-node=8
#SBATCH --cpus-per-task=12
#SBATCH --time=36:00:00
#SBATCH --output=Logs/train_single_%j.out
#SBATCH --error=Logs/train_single_%j.err
#SBATCH --exclude=pvc-s-135,pvc-s-[194-256]
# 1 node x 4 XPU cards x 2 tiles/card = 8 XPU tiles
# Same settings as multi-node but single node to start training faster.
cd /rds/project/rds-TWhPgQVLKbA/Code/OmniMorph
. /etc/profile.d/modules.sh
module purge
module load rhel9/default-dawn
source ~/miniconda3/etc/profile.d/conda.sh
conda activate ~/rds/rds-airr-p51-TWhPgQVLKbA/Env/pub_env/pytorch-xpu
# --- CCL/MPI setup ---
export I_MPI_PMI_LIBRARY=/usr/local/software/slurm/current-rhel8/lib/libpmi2.so
export I_MPI_HYDRA_BOOTSTRAP=slurm
export CCL_WORKER_AFFINITY=auto
export CCL_ZE_CACHE_OPEN_IPC_HANDLES_THRESHOLD=100000
# --- XPU memory allocator ---
export PYTORCH_ALLOC_CONF=expandable_segments:True,max_split_size_mb:512
# --- Single-node setup ---
export MASTER_ADDR=$(scontrol show hostname "$SLURM_NODELIST" | head -n1)
export MASTER_PORT=12355
SRUN_TIMEOUT=43200 # 12h timeout per srun — epoch takes ~10h with 8 tiles
MAX_ITERATIONS=50 # Safety net: max crash-recovery attempts within the 36h walltime
echo "============================================"
echo "Job ID: $SLURM_JOB_ID"
echo "Nodes: $SLURM_NNODES"
echo "Tasks/node: $SLURM_NTASKS_PER_NODE"
echo "Total tasks: $SLURM_NTASKS"
echo "CPUs/task: $SLURM_CPUS_PER_TASK"
echo "Master: $MASTER_ADDR:$MASTER_PORT"
echo "Node list: $SLURM_NODELIST"
echo "Walltime: 36:00:00"
echo "Timeout/srun: ${SRUN_TIMEOUT}s"
echo "Max iters: $MAX_ITERATIONS"
echo "============================================"
for ITER in $(seq 1 $MAX_ITERATIONS); do
echo "=== Restart iteration $ITER at $(date) ==="
timeout $SRUN_TIMEOUT srun --kill-on-bad-exit=1 bash -c '
export LOCAL_RANK=$SLURM_LOCALID
export RANK=$SLURM_PROCID
export WORLD_SIZE=$SLURM_NTASKS
export MASTER_ADDR='"$MASTER_ADDR"'
export MASTER_PORT='"$MASTER_PORT"'
python OM_train_3modes.py -C Config/config_om.yaml --batchsize 2 --max-steps-before-restart 0
'
EXIT_CODE=$?
echo "=== srun exit code: $EXIT_CODE at $(date) ==="
if [ $EXIT_CODE -eq 0 ]; then
echo "=== Training completed successfully ==="
break
elif [ $EXIT_CODE -eq 42 ]; then
echo "=== Proactive restart (code 42), resuming in 5s ==="
sleep 5
elif [ $EXIT_CODE -eq 124 ]; then
echo "=== Timeout (CCL hang), resuming in 10s ==="
sleep 10
else
echo "=== Crash (exit code $EXIT_CODE), resuming in 10s ==="
sleep 10
fi
done
echo "=== Job finished at $(date), last exit code: $EXIT_CODE ==="
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