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"""This file is for benchmark dataloading process. The command line to run this
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file is:
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$ python -m cProfile -o program.prof tools/analysis/bench_processing.py
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configs/task/method/[config filename]
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It use cProfile to record cpu running time and output to program.prof
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To visualize cProfile output program.prof, use Snakeviz and run:
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$ snakeviz program.prof
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"""
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import argparse
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import os
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import mmcv
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from mmcv import Config
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from mmaction import __version__
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from mmaction.datasets import build_dataloader, build_dataset
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from mmaction.utils import get_root_logger
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def main():
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parser = argparse.ArgumentParser(description='Benchmark dataloading')
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parser.add_argument('config', help='train config file path')
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args = parser.parse_args()
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cfg = Config.fromfile(args.config)
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logger = get_root_logger()
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logger.info(f'MMAction2 Version: {__version__}')
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logger.info(f'Config: {cfg.text}')
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ann_file_bench = 'benchlist.txt'
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if not os.path.exists(ann_file_bench):
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with open(cfg.ann_file_train) as f:
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lines = f.readlines()[:256]
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with open(ann_file_bench, 'w') as f1:
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f1.writelines(lines)
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cfg.data.train.ann_file = ann_file_bench
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dataset = build_dataset(cfg.data.train)
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data_loader = build_dataloader(
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dataset,
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videos_per_gpu=cfg.data.videos_per_gpu,
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workers_per_gpu=0,
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persistent_workers=False,
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num_gpus=1,
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dist=False)
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prog_bar = mmcv.ProgressBar(
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len(dataset) - 5 * cfg.data.videos_per_gpu, start=False)
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for i, data in enumerate(data_loader):
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if i == 5:
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prog_bar.start()
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for _ in data['imgs']:
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if i < 5:
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continue
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prog_bar.update()
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if __name__ == '__main__':
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main()
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