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submit.py
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submit.py
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"""
Script to start slurm training for `accelerate launch`.
This script will generate a **sbatch** file, and call the file via `sbatch`.
The sbatch command **DO NOT** support interactive debug (e.g. pdb), and will
write the **stdout** and **stderr** to `log-out` path.
Usage:
```bash
# dry run
python submit.py --job-name powerpaint --gpus 16 --dry-run \
train_ppt1_sd15.py --config configs/ppt1_sd15.yaml
# or direct start!
python submit.py --job-name powerpaint --gpus 16 \
train_ppt1_sd15.py --config configs/ppt1_sd15.yaml
```
"""
import os
from argparse import ArgumentParser
from datetime import datetime
parser = ArgumentParser()
parser.add_argument("--job-name", default="powerpaint")
parser.add_argument(
"--gpus",
type=int,
default=8,
help="**Total** gpu you want to run your command.",
)
parser.add_argument(
"--gpus-per-nodes",
type=int,
default=8,
help="number of nodes",
)
parser.add_argument(
"--cpus-per-node",
type=int,
default=128,
help="cpus for each **node**.",
)
parser.add_argument(
"--log-path",
type=str,
default="runs",
help=("path of the log files (stdout, stderr). " "If not passed, will be `runs/JOB_NAME_MMDD_HHMM.sh`"),
)
parser.add_argument(
"--script-path",
help=("the name of the sbatch script. " "If not passed, will be `JOB_NAME_MMDD_HHMM.sh`"),
)
parser.add_argument(
"--dry-run",
action="store_true",
help="If true, will generate the script but do not run.",
)
parser.add_argument(
"-x",
nargs="+",
type=str,
help="exclude machine",
)
# args = parser.parse_args()
args, cmd_list = parser.parse_known_args()
print(args)
print(cmd_list)
def main():
gpus = args.gpus
gpus_per_nodes = args.gpus_per_nodes
cpus_per_node = args.cpus_per_node
assert (
gpus_per_nodes <= 8 and gpus_per_nodes >= 1
), f"gpus_per_node must be in [1, 8], but receive {gpus_per_nodes}."
if gpus <= gpus_per_nodes:
n_node = 1
gpus_per_nodes = gpus
else:
assert gpus % gpus_per_nodes == 0, "gpus must be divided by gpus_per_nodes."
n_node = gpus // gpus_per_nodes
MMDD_HHMM = datetime.now().strftime("%m%d_%H%M")
if args.log_path is None:
log_path = f"runs/{args.job_name}_{MMDD_HHMM}"
else:
log_path = args.log_path
os.makedirs(log_path, exist_ok=True)
# start write script
if args.script_path is None:
script_path = f"runs/{args.job_name}_{MMDD_HHMM}.batchscript"
else:
script_path = args.script_path
with open(script_path, "w") as file:
header = (
"#!/bin/bash\n"
f"#SBATCH --job-name={args.job_name}\n"
"#SBATCH -p mm_lol\n"
f"#SBATCH --output={log_path}/O-%x.%j\n"
f"#SBATCH --error={log_path}/E-%x.%j\n"
f"#SBATCH --nodes={n_node} # number of nodes\n"
"#SBATCH --ntasks-per-node=1 # number of MP tasks\n"
f"#SBATCH --gres=gpu:{gpus_per_nodes} # number of GPUs per node\n"
f"#SBATCH --cpus-per-task={cpus_per_node} # number of cores per tasks\n"
)
network = (
"######################\n"
"#### Set network #####\n"
"######################\n"
"head_node_ip=$(scontrol show hostnames $SLURM_JOB_NODELIST | head -n 1)\n"
"export MASTER_PORT=$((12000 + $RANDOM % 20000))\n"
"######################\n"
)
cmd_string = " ".join(cmd_list)
print(args.x)
if args.x is not None:
srun_string = f"srun -x {' '.join(list(args.x))} "
else:
srun_string = "srun "
launcher = (
f"{srun_string} "
"accelerate launch --multi_gpu "
f"--num_processes {gpus} "
"--num_machines ${SLURM_NNODES} "
"--machine_rank ${SLURM_NODEID} "
"--rdzv_backend c10d "
"--main_process_ip $head_node_ip "
f"--main_process_port ${{MASTER_PORT}} "
)
launcher += cmd_string
file.write(header)
file.write("\n")
file.write(network)
file.write("\n")
file.write(launcher)
file.write("\n")
print(f"Write script to {script_path}.")
if not args.dry_run:
os.system(f"sbatch {script_path}")
return
print(f"You can run the script manually via 'sbatch {script_path}'")
if __name__ == "__main__":
main()