OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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99 lines
3.2 KiB
99 lines
3.2 KiB
# Copyright (c) OpenMMLab. All rights reserved. |
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import argparse |
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import os |
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import os.path as osp |
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def parse_args(): |
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parser = argparse.ArgumentParser( |
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description='Convert benchmark model json to script') |
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parser.add_argument( |
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'txt_path', type=str, help='txt path output by benchmark_filter') |
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parser.add_argument( |
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'--partition', |
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type=str, |
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default='openmmlab', |
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help='slurm partition name') |
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parser.add_argument( |
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'--max-keep-ckpts', |
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type=int, |
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default=1, |
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help='The maximum checkpoints to keep') |
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parser.add_argument( |
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'--run', action='store_true', help='run script directly') |
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parser.add_argument( |
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'--out', type=str, help='path to save model benchmark script') |
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args = parser.parse_args() |
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return args |
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def main(): |
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args = parse_args() |
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if args.out: |
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out_suffix = args.out.split('.')[-1] |
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assert args.out.endswith('.sh'), \ |
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f'Expected out file path suffix is .sh, but get .{out_suffix}' |
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assert args.out or args.run, \ |
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('Please specify at least one operation (save/run/ the ' |
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'script) with the argument "--out" or "--run"') |
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partition = args.partition # cluster name |
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root_name = './tools' |
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train_script_name = osp.join(root_name, 'slurm_train.sh') |
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# stdout is no output |
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stdout_cfg = '>/dev/null' |
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max_keep_ckpts = args.max_keep_ckpts |
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commands = [] |
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with open(args.txt_path, 'r') as f: |
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model_cfgs = f.readlines() |
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for i, cfg in enumerate(model_cfgs): |
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cfg = cfg.strip() |
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if len(cfg) == 0: |
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continue |
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# print cfg name |
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echo_info = f'echo \'{cfg}\' &' |
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commands.append(echo_info) |
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commands.append('\n') |
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fname, _ = osp.splitext(osp.basename(cfg)) |
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out_fname = osp.join(root_name, 'work_dir', fname) |
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# default setting |
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if cfg.find('16x') >= 0: |
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command_info = f'GPUS=16 GPUS_PER_NODE=8 ' \ |
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f'CPUS_PER_TASK=2 {train_script_name} ' |
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elif cfg.find('gn-head_4x4_1x_coco.py') >= 0 or \ |
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cfg.find('gn-head_4x4_2x_coco.py') >= 0: |
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command_info = f'GPUS=4 GPUS_PER_NODE=4 ' \ |
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f'CPUS_PER_TASK=2 {train_script_name} ' |
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else: |
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command_info = f'GPUS=8 GPUS_PER_NODE=8 ' \ |
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f'CPUS_PER_TASK=2 {train_script_name} ' |
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command_info += f'{partition} ' |
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command_info += f'{fname} ' |
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command_info += f'{cfg} ' |
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command_info += f'{out_fname} ' |
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if max_keep_ckpts: |
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command_info += f'--cfg-options ' \ |
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f'checkpoint_config.max_keep_ckpts=' \ |
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f'{max_keep_ckpts}' + ' ' |
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command_info += f'{stdout_cfg} &' |
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commands.append(command_info) |
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if i < len(model_cfgs): |
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commands.append('\n') |
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command_str = ''.join(commands) |
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if args.out: |
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with open(args.out, 'w') as f: |
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f.write(command_str) |
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if args.run: |
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os.system(command_str) |
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if __name__ == '__main__': |
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main()
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