| |
| 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() |
|
|
