| | |
| | import argparse |
| | import os |
| |
|
| | from mmengine import MMLogger |
| | from mmengine.config import Config, DictAction |
| | from mmengine.dist import init_dist |
| | from mmengine.registry import init_default_scope |
| | from mmengine.utils import mkdir_or_exist |
| |
|
| | from mmdet.utils.benchmark import (DataLoaderBenchmark, DatasetBenchmark, |
| | InferenceBenchmark) |
| |
|
| |
|
| | def parse_args(): |
| | parser = argparse.ArgumentParser(description='MMDet benchmark') |
| | parser.add_argument('config', help='test config file path') |
| | parser.add_argument('--checkpoint', help='checkpoint file') |
| | parser.add_argument( |
| | '--task', |
| | choices=['inference', 'dataloader', 'dataset'], |
| | default='dataloader', |
| | help='Which task do you want to go to benchmark') |
| | parser.add_argument( |
| | '--repeat-num', |
| | type=int, |
| | default=1, |
| | help='number of repeat times of measurement for averaging the results') |
| | parser.add_argument( |
| | '--max-iter', type=int, default=2000, help='num of max iter') |
| | parser.add_argument( |
| | '--log-interval', type=int, default=50, help='interval of logging') |
| | parser.add_argument( |
| | '--num-warmup', type=int, default=5, help='Number of warmup') |
| | parser.add_argument( |
| | '--fuse-conv-bn', |
| | action='store_true', |
| | help='Whether to fuse conv and bn, this will slightly increase' |
| | 'the inference speed') |
| | parser.add_argument( |
| | '--dataset-type', |
| | choices=['train', 'val', 'test'], |
| | default='test', |
| | help='Benchmark dataset type. only supports train, val and test') |
| | parser.add_argument( |
| | '--work-dir', |
| | help='the directory to save the file containing ' |
| | 'benchmark metrics') |
| | parser.add_argument( |
| | '--cfg-options', |
| | nargs='+', |
| | action=DictAction, |
| | help='override some settings in the used config, the key-value pair ' |
| | 'in xxx=yyy format will be merged into config file. If the value to ' |
| | 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' |
| | 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' |
| | 'Note that the quotation marks are necessary and that no white space ' |
| | 'is allowed.') |
| | parser.add_argument( |
| | '--launcher', |
| | choices=['none', 'pytorch', 'slurm', 'mpi'], |
| | default='none', |
| | help='job launcher') |
| | parser.add_argument('--local_rank', type=int, default=0) |
| | args = parser.parse_args() |
| | if 'LOCAL_RANK' not in os.environ: |
| | os.environ['LOCAL_RANK'] = str(args.local_rank) |
| | return args |
| |
|
| |
|
| | def inference_benchmark(args, cfg, distributed, logger): |
| | benchmark = InferenceBenchmark( |
| | cfg, |
| | args.checkpoint, |
| | distributed, |
| | args.fuse_conv_bn, |
| | args.max_iter, |
| | args.log_interval, |
| | args.num_warmup, |
| | logger=logger) |
| | return benchmark |
| |
|
| |
|
| | def dataloader_benchmark(args, cfg, distributed, logger): |
| | benchmark = DataLoaderBenchmark( |
| | cfg, |
| | distributed, |
| | args.dataset_type, |
| | args.max_iter, |
| | args.log_interval, |
| | args.num_warmup, |
| | logger=logger) |
| | return benchmark |
| |
|
| |
|
| | def dataset_benchmark(args, cfg, distributed, logger): |
| | benchmark = DatasetBenchmark( |
| | cfg, |
| | args.dataset_type, |
| | args.max_iter, |
| | args.log_interval, |
| | args.num_warmup, |
| | logger=logger) |
| | return benchmark |
| |
|
| |
|
| | def main(): |
| | args = parse_args() |
| | cfg = Config.fromfile(args.config) |
| | if args.cfg_options is not None: |
| | cfg.merge_from_dict(args.cfg_options) |
| |
|
| | init_default_scope(cfg.get('default_scope', 'mmdet')) |
| |
|
| | distributed = False |
| | if args.launcher != 'none': |
| | init_dist(args.launcher, **cfg.get('env_cfg', {}).get('dist_cfg', {})) |
| | distributed = True |
| |
|
| | log_file = None |
| | if args.work_dir: |
| | log_file = os.path.join(args.work_dir, 'benchmark.log') |
| | mkdir_or_exist(args.work_dir) |
| |
|
| | logger = MMLogger.get_instance( |
| | 'mmdet', log_file=log_file, log_level='INFO') |
| |
|
| | benchmark = eval(f'{args.task}_benchmark')(args, cfg, distributed, logger) |
| | benchmark.run(args.repeat_num) |
| |
|
| |
|
| | if __name__ == '__main__': |
| | main() |
| |
|
