basecls.configs.regnet_cfg 源代码
#!/usr/bin/env python3
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
from basecls.layers import NORM_TYPES
from .base_cfg import BaseConfig
__all__ = ["RegNetConfig"]
_cfg = dict(
test=dict(
crop_pct=224 / 232,
),
model=dict(
name="RegNet",
),
bn=dict(
precise_every_n_epoch=1,
),
loss=dict(
label_smooth=0.1,
),
augments=dict(
name="RandAugment",
resize=dict(
interpolation="bicubic",
),
rand_aug=dict(
magnitude=7,
),
rand_erase=dict(
prob=0.1,
mode="pixel",
),
mixup=dict(
mixup_alpha=0.2,
cutmix_alpha=1.0,
),
),
solver=dict(
basic_lr=0.025,
weight_decay=(
(0, "bias"),
(0, NORM_TYPES),
2e-5,
),
nesterov=True,
max_epoch=300,
lr_schedule="cosine",
),
model_ema=dict(
enabled=True,
momentum=0.99998,
),
)
[文档]class RegNetConfig(BaseConfig):
def __init__(self, values_or_file=None, **kwargs):
super().__init__(_cfg)
self.merge(values_or_file, **kwargs)