File size: 547 Bytes
3cdd985 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | import timm
import torch.nn as nn
class TimmBackbone(nn.Module):
def __init__(self, model_name="vit_base_patch16_224", pretrained=False, **kwargs):
super().__init__()
self.feat = timm.create_model(
model_name,
pretrained=pretrained,
num_classes=0,
**kwargs,
)
self.feat_dim = self.feat.num_features
def forward(self, x):
return self.feat(x)
def timm_backbone(pretrained=False, **kwargs):
return TimmBackbone(pretrained=pretrained, **kwargs)
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