↓ 13 callersMethod__init__(self, in_chs, out_chs, depth, norm_layer, act_layer, block_type='default')
timm_modified/timm/models/efficientvit_mit.py:481
↓ 13 callersFunction_nfnet_cfg(
depths,
channels=(256, 512, 1536, 1536),
group_size=128,
bottle_ratio=0.5,
timm_modified/timm/models/nfnet.py:498
↓ 13 callersMethodencode(self, items, model, head, is_query=False, **kwargs)
src/openmatch/modeling/dense_retrieval_model.py:142
↓ 12 callersFunction_mobilevit_block(d, c, s, transformer_dim, transformer_depth, patch_size=4, br=4.0)
timm_modified/timm/models/mobilevit.py:40
↓ 11 callersFunction_rep_vgg_bcfg(d=(4, 6, 16, 1), wf=(1., 1., 1., 1.), groups=0)
timm_modified/timm/models/byobnet.py:89
↓ 9 callersMethod__init__(
self,
in_chans=3,
img_size=224,
embed_dim=(48,),
depth=(2,),
timm_modified/timm/models/repvit.py:256
↓ 9 callersMethod__init__(self, in_channels, out_channels, kernel_size, stride=1, padding='')
timm_modified/timm/models/nasnet.py:21
↓ 9 callersFunction_nfres_cfg(
depths,
channels=(256, 512, 1024, 2048),
group_size=None,
act_layer='relu',
timm_modified/timm/models/nfnet.py:457
↓ 8 callersMethod__init__(self, num_features, apply_act=True, momentum=0.1, eps=1e-3, **_)
timm_modified/timm/layers/evo_norm.py:100