44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
import random, argparse
|
|
from .share_args import add_shared_args
|
|
|
|
|
|
def obtain_cls_kd_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(
|
|
"--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("--procedure", type=str, help="The procedure basic prefix.")
|
|
parser.add_argument(
|
|
"--KD_checkpoint",
|
|
type=str,
|
|
help="The teacher checkpoint in knowledge distillation.",
|
|
)
|
|
parser.add_argument(
|
|
"--KD_alpha", type=float, help="The alpha parameter in knowledge distillation."
|
|
)
|
|
parser.add_argument(
|
|
"--KD_temperature",
|
|
type=float,
|
|
help="The temperature parameter in knowledge distillation.",
|
|
)
|
|
# parser.add_argument('--KD_feature', type=float, help='Knowledge distillation at the feature level.')
|
|
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"
|
|
return args
|