Add File

tools/scripts/slurm_train_v2.sh

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+#!/usr/bin/env bash
+
+set -x
+
+PARTITION=$1
+JOB_NAME=$2
+GPUS=$3
+PY_ARGS=${@:4}
+
+GPUS_PER_NODE=${GPUS_PER_NODE:-8}
+CPUS_PER_TASK=${CPUS_PER_TASK:-40}
+SRUN_ARGS=${SRUN_ARGS:-""}
+
+while true
+do
+    PORT=$(( ((RANDOM<<15)|RANDOM) % 49152 + 10000 ))
+    status="$(nc -z 127.0.0.1 $PORT < /dev/null &>/dev/null; echo $?)"
+    if [ "${status}" != "0" ]; then
+        break;
+    fi
+done
+echo $PORT
+
+srun -p ${PARTITION} \
+    --job-name=${JOB_NAME} \
+    --gres=gpu:${GPUS_PER_NODE} \
+    --cpus-per-task=${CPUS_PER_TASK} \
+    --kill-on-bad-exit=1 \
+    ${SRUN_ARGS} \
+    python -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} train.py --launcher pytorch --tcp_port ${PORT} ${PY_ARGS}