iicd/autodl-projects
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Move str2bool to config_utils

Browse Source
This commit is contained in:
D-X-Y
2021-03-30 09:17:05 +00:00
parent 9fc2c991f5
commit c2270fd153
16 changed files with 519 additions and 305 deletions
Download Patch File Download Diff File Expand all files Collapse all files

56
lib/config_utils/random_baseline.py
View File

@@ -3,22 +3,42 @@ from .share_args import add_shared_args
def obtain_RandomSearch_args():
parser = argparse.ArgumentParser(description='Train a classification model on typical image classification datasets.', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--resume' , type=str, help='Resume path.')
parser.add_argument('--init_model' , type=str, help='The initialization model path.')
parser.add_argument('--expect_flop', type=float, help='The expected flop keep ratio.')
parser.add_argument('--arch_nums' , type=int, help='The maximum number of running random arch generating..')
parser.add_argument('--model_config', type=str, help='The path to the model configuration')
parser.add_argument('--optim_config', type=str, help='The path to the optimizer configuration')
parser.add_argument('--random_mode', type=str, choices=['random', 'fix'], help='The path to the optimizer configuration')
parser.add_argument('--procedure' , type=str, help='The procedure basic prefix.')
add_shared_args( parser )
# Optimization options
parser.add_argument('--batch_size', type=int, default=2, help='Batch size for training.')
args = parser.parse_args()
parser = argparse.ArgumentParser(
description="Train a classification model on typical image classification datasets.",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument("--resume", type=str, help="Resume path.")
parser.add_argument("--init_model", type=str, help="The initialization model path.")
parser.add_argument(
"--expect_flop", type=float, help="The expected flop keep ratio."
)
parser.add_argument(
"--arch_nums",
type=int,
help="The maximum number of running random arch generating..",
)
parser.add_argument(
"--model_config", type=str, help="The path to the model configuration"
)
parser.add_argument(
"--optim_config", type=str, help="The path to the optimizer configuration"
)
parser.add_argument(
"--random_mode",
type=str,
choices=["random", "fix"],
help="The path to the optimizer configuration",
)
parser.add_argument("--procedure", type=str, help="The procedure basic prefix.")
add_shared_args(parser)
# Optimization options
parser.add_argument(
"--batch_size", type=int, default=2, help="Batch size for training."
)
args = parser.parse_args()
if args.rand_seed is None or args.rand_seed < 0:
args.rand_seed = random.randint(1, 100000)
assert args.save_dir is not None, 'save-path argument can not be None'
#assert args.flop_ratio_min < args.flop_ratio_max, 'flop-ratio {:} vs {:}'.format(args.flop_ratio_min, args.flop_ratio_max)
return args
if args.rand_seed is None or args.rand_seed < 0:
args.rand_seed = random.randint(1, 100000)
assert args.save_dir is not None, "save-path argument can not be None"
# assert args.flop_ratio_min < args.flop_ratio_max, 'flop-ratio {:} vs {:}'.format(args.flop_ratio_min, args.flop_ratio_max)
return args