mmpretrain/mmcls/models/builder.py

24 lines
610 B
Python

import torch.nn as nn
from mmcv.utils import Registry, build_from_cfg
BACKBONES = Registry('backbone')
MODELS = Registry('model')
def build(cfg, registry, default_args=None):
if isinstance(cfg, list):
modules = [
build_from_cfg(cfg_, registry, default_args) for cfg_ in cfg
]
return nn.Sequential(*modules)
else:
return build_from_cfg(cfg, registry, default_args)
def build_backbone(cfg):
return build(cfg, BACKBONES)
def build_model(cfg, train_cfg=None, test_cfg=None):
return build(cfg, MODELS, dict(train_cfg=train_cfg, test_cfg=test_cfg))