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import argparse
import re
from os import path as osp
def parse_args():
parser = argparse.ArgumentParser(
description='Generate benchmark training/testing scripts')
parser.add_argument(
'--input_file',
required=False,
type=str,
help='Input file containing the paths '
'of configs to be trained/tested.')
parser.add_argument(
'--output_file',
required=True,
type=str,
help='Output file containing the '
'commands to train/test selected models.')
parser.add_argument(
'--gpus_per_node',
type=int,
default=8,
help='GPUs per node config for slurm, '
'should be set according to your slurm environment')
parser.add_argument(
'--cpus_per_task',
type=int,
default=5,
help='CPUs per task config for slurm, '
'should be set according to your slurm environment')
parser.add_argument(
'--gpus',
type=int,
default=8,
help='Totally used num of GPUs config for slurm (in testing), '
'should be set according to your slurm environment')
parser.add_argument(
'--mode', type=str, default='train', help='Train or test')
parser.add_argument(
'--long_work_dir',
action='store_true',
help='Whether use full relative path of config as work dir')
parser.add_argument(
'--max_keep_ckpts',
type=int,
default=1,
help='The max number of checkpoints saved in training')
parser.add_argument(
'--full_log',
action='store_true',
help='Whether save full log in a file')
args = parser.parse_args()
return args
args = parse_args()
assert args.mode in ['train', 'test'], 'Currently we only support ' \
'automatically generating training or testing scripts.'
config_paths = []
if args.input_file is not None:
with open(args.input_file, 'r') as fi:
config_paths = fi.read().strip().split('\n')
else:
while True:
print('Please type a config path and '
'press enter (press enter directly to exit):')
config_path = input()
if config_path != '':
config_paths.append(config_path)
else:
break
script = '''PARTITION=$1
CHECKPOINT_DIR=$2
'''
if args.mode == 'train':
for i, config_path in enumerate(config_paths):
root_dir = osp.dirname(osp.dirname(osp.abspath(__file__)))
if not osp.exists(osp.join(root_dir, config_path)):
print(f'Invalid config path (does not exist):\n{config_path}')
continue
config_name = config_path.split('/')[-1][:-3]
match_obj = re.match(r'^.*_[0-9]+x([0-9]+)_.*$', config_name)
if match_obj is None:
print(f'Invalid config path (no GPU num in '
f'config name):\n{config_path}')
continue
gpu_num = int(match_obj.group(1))
work_dir_name = config_path if args.long_work_dir else config_name
script += f"echo '{config_path}' &\n"
if args.full_log:
script += f'mkdir -p $CHECKPOINT_DIR/{work_dir_name}\n'
# training commands
script += f'GPUS={gpu_num} GPUS_PER_NODE={args.gpus_per_node} ' \
f'CPUS_PER_TASK={args.cpus_per_task} ' \
f'./tools/slurm_train.sh $PARTITION {config_name} ' \
f'{config_path} \\\n'
script += f'$CHECKPOINT_DIR/{work_dir_name} --cfg-options ' \
f'checkpoint_config.max_keep_ckpts=' \
f'{args.max_keep_ckpts} \\\n' \
# if output full log, redirect stdout and stderr to
# another log file in work dir
if args.full_log:
script += f'2>&1|tee $CHECKPOINT_DIR/{work_dir_name}' \
f'/FULL_LOG.txt &\n'
else:
script += '>/dev/null &\n'
if i != len(config_paths) - 1:
script += '\n'
print(f'Successfully generated script for {config_name}')
with open(args.output_file, 'w') as fo:
fo.write(script)
elif args.mode == 'test':
for i, config_path in enumerate(config_paths):
root_dir = osp.dirname(osp.dirname(osp.abspath(__file__)))
if not osp.exists(osp.join(root_dir, config_path)):
print(f'Invalid config path (does not exist):\n{config_path}')
continue
config_name = config_path.split('/')[-1][:-3]
tasks = {
'scannet_seg', 'scannet', 's3dis_seg', 'sunrgbd', 'kitti', 'nus',
'lyft', 'waymo'
}
eval_option = None
for task in tasks:
if task in config_name:
eval_option = task
break
if eval_option is None:
print(f'Invalid config path (invalid task):\n{config_path}')
continue
work_dir_name = config_path if args.long_work_dir else config_name
script += f"echo '{config_path}' &\n"
if args.full_log:
script += f'mkdir -p $CHECKPOINT_DIR/{work_dir_name}\n'
# training commands
script += f'GPUS={args.gpus} GPUS_PER_NODE={args.gpus_per_node} ' \
f'CPUS_PER_TASK={args.cpus_per_task} ' \
f'./tools/slurm_test.sh $PARTITION {config_name} ' \
f'{config_path} \\\n'
script += f'$CHECKPOINT_DIR/{work_dir_name}/latest.pth ' \
if eval_option in ['scannet_seg', 's3dis_seg']:
script += '--eval mIoU \\\n'
elif eval_option in ['scannet', 'sunrgbd', 'kitti', 'nus']:
script += '--eval map \\\n'
elif eval_option in ['lyft']:
script += f'--format-only --eval-options jsonfile_prefix=' \
f'$CHECKPOINT_DIR/{work_dir_name}/results_challenge ' \
f'csv_savepath=$CHECKPOINT_DIR/{work_dir_name}/' \
f'results_challenge.csv \\\n'
elif eval_option in ['waymo']:
script += f'--eval waymo --eval-options pklfile_prefix=' \
f'$CHECKPOINT_DIR/{work_dir_name}/kitti_results ' \
f'submission_prefix=$CHECKPOINT_DIR/{work_dir_name}/' \
f'kitti_results \\\n'
# if output full log, redirect stdout and stderr to
# another log file in work dir
if args.full_log:
script += f'2>&1|tee $CHECKPOINT_DIR/{work_dir_name}' \
f'/FULL_LOG.txt &\n'
else:
script += '>/dev/null &\n'
if i != len(config_paths) - 1:
script += '\n'
print(f'Successfully generated script for {config_name}')
with open(args.output_file, 'w') as fo:
fo.write(script)
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