19 lines
517 B
Python
19 lines
517 B
Python
|
import torch.nn as nn
|
||
|
|
from mmcv.utils import Registry, build_from_cfg
|
||
|
|
|
||
|
|
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_model(cfg, train_cfg=None, test_cfg=None):
|
||
|
|
return build(cfg, MODELS, dict(train_cfg=train_cfg, test_cfg=test_cfg))
|