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# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
def parse_args():
parser = argparse.ArgumentParser(
description='Convert benchmark model json to script')
parser.add_argument(
'txt_path', type=str, help='txt path output by benchmark_filter')
parser.add_argument(
'--run', action='store_true', help='run script directly')
parser.add_argument(
'--out', type=str, help='path to save model benchmark script')
args = parser.parse_args()
return args
def determine_gpus(cfg_name):
gpus = 8
gpus_pre_node = 8
if cfg_name.find('16x') >= 0:
gpus = 16
elif cfg_name.find('4xb4') >= 0:
gpus = 4
gpus_pre_node = 4
elif 'lad' in cfg_name:
gpus = 2
gpus_pre_node = 2
return gpus, gpus_pre_node
def main():
args = parse_args()
if args.out:
out_suffix = args.out.split('.')[-1]
assert args.out.endswith('.sh'), \
f'Expected out file path suffix is .sh, but get .{out_suffix}'
assert args.out or args.run, \
('Please specify at least one operation (save/run/ the '
'script) with the argument "--out" or "--run"')
root_name = './tools'
train_script_name = osp.join(root_name, 'slurm_train.sh')
commands = []
partition_name = 'PARTITION=$1 '
commands.append(partition_name)
commands.append('\n')
work_dir = 'WORK_DIR=$2 '
commands.append(work_dir)
commands.append('\n')
cpus_pre_task = 'CPUS_PER_TASK=${3:-4} '
commands.append(cpus_pre_task)
commands.append('\n')
commands.append('\n')
with open(args.txt_path, 'r') as f:
model_cfgs = f.readlines()
for i, cfg in enumerate(model_cfgs):
cfg = cfg.strip()
if len(cfg) == 0:
continue
# print cfg name
echo_info = f'echo \'{cfg}\' &'
commands.append(echo_info)
commands.append('\n')
fname, _ = osp.splitext(osp.basename(cfg))
out_fname = '$WORK_DIR/' + fname
gpus, gpus_pre_node = determine_gpus(cfg)
command_info = f'GPUS={gpus} GPUS_PER_NODE={gpus_pre_node} ' \
f'CPUS_PER_TASK=$CPUS_PRE_TASK {train_script_name} '
command_info += '$PARTITION '
command_info += f'{fname} '
command_info += f'{cfg} '
command_info += f'{out_fname} '
command_info += '--cfg-options default_hooks.checkpoint.' \
'max_keep_ckpts=1 '
command_info += '&'
commands.append(command_info)
if i < len(model_cfgs):
commands.append('\n')
command_str = ''.join(commands)
if args.out:
with open(args.out, 'w') as f:
f.write(command_str)
if args.run:
os.system(command_str)
if __name__ == '__main__':
main()
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