Missed a few pretrained tags...

Author: rwightman

timm/models/dla.py

@@ -415,7 +415,7 @@ def _cfg(url='', **kwargs):
     'dla102.in1k': _cfg(hf_hub_id='timm/'),
     'dla102x.in1k': _cfg(hf_hub_id='timm/'),
     'dla102x2.in1k': _cfg(hf_hub_id='timm/'),
-    'dla169': _cfg(hf_hub_id='timm/'),
+    'dla169.in1k': _cfg(hf_hub_id='timm/'),
     'dla60_res2net.in1k': _cfg(hf_hub_id='timm/'),
     'dla60_res2next.in1k': _cfg(hf_hub_id='timm/'),
 })

timm/models/gcvit.py

@@ -33,36 +33,11 @@
 from ._builder import build_model_with_cfg
 from ._features_fx import register_notrace_function
 from ._manipulate import named_apply
-from ._registry import register_model
+from ._registry import register_model, generate_default_cfgs
 
 __all__ = ['GlobalContextVit']
 
 
-def _cfg(url='', **kwargs):
-    return {
-        'url': url, 'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
-        'crop_pct': 0.875, 'interpolation': 'bicubic',
-        'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
-        'first_conv': 'stem.conv1', 'classifier': 'head.fc',
-        'fixed_input_size': True,
-        **kwargs
-    }
-
-
-default_cfgs = {
-    'gcvit_xxtiny': _cfg(
-        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_xxtiny_224_nvidia-d1d86009.pth'),
-    'gcvit_xtiny': _cfg(
-        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_xtiny_224_nvidia-274b92b7.pth'),
-    'gcvit_tiny': _cfg(
-        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_tiny_224_nvidia-ac783954.pth'),
-    'gcvit_small': _cfg(
-        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_small_224_nvidia-4e98afa2.pth'),
-    'gcvit_base': _cfg(
-        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_base_224_nvidia-f009139b.pth'),
-}
-
-
 class MbConvBlock(nn.Module):
     """ A depthwise separable / fused mbconv style residual block with SE, `no norm.
     """
@@ -541,6 +516,31 @@ def _create_gcvit(variant, pretrained=False, **kwargs):
     return model
 
 
+def _cfg(url='', **kwargs):
+    return {
+        'url': url, 'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
+        'crop_pct': 0.875, 'interpolation': 'bicubic',
+        'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
+        'first_conv': 'stem.conv1', 'classifier': 'head.fc',
+        'fixed_input_size': True,
+        **kwargs
+    }
+
+
+default_cfgs = generate_default_cfgs({
+    'gcvit_xxtiny.in1k': _cfg(
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_xxtiny_224_nvidia-d1d86009.pth'),
+    'gcvit_xtiny.in1k': _cfg(
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_xtiny_224_nvidia-274b92b7.pth'),
+    'gcvit_tiny.in1k': _cfg(
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_tiny_224_nvidia-ac783954.pth'),
+    'gcvit_small.in1k': _cfg(
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_small_224_nvidia-4e98afa2.pth'),
+    'gcvit_base.in1k': _cfg(
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_base_224_nvidia-f009139b.pth'),
+})
+
+
 @register_model
 def gcvit_xxtiny(pretrained=False, **kwargs) -> GlobalContextVit:
     model_kwargs = dict(

timm/models/pvt_v2.py

@@ -448,13 +448,13 @@ def _cfg(url='', **kwargs):
 
 
 default_cfgs = generate_default_cfgs({
-    'pvt_v2_b0': _cfg(hf_hub_id='timm/'),
-    'pvt_v2_b1': _cfg(hf_hub_id='timm/'),
-    'pvt_v2_b2': _cfg(hf_hub_id='timm/'),
-    'pvt_v2_b3': _cfg(hf_hub_id='timm/'),
-    'pvt_v2_b4': _cfg(hf_hub_id='timm/'),
-    'pvt_v2_b5': _cfg(hf_hub_id='timm/'),
-    'pvt_v2_b2_li': _cfg(hf_hub_id='timm/'),
+    'pvt_v2_b0.in1k': _cfg(hf_hub_id='timm/'),
+    'pvt_v2_b1.in1k': _cfg(hf_hub_id='timm/'),
+    'pvt_v2_b2.in1k': _cfg(hf_hub_id='timm/'),
+    'pvt_v2_b3.in1k': _cfg(hf_hub_id='timm/'),
+    'pvt_v2_b4.in1k': _cfg(hf_hub_id='timm/'),
+    'pvt_v2_b5.in1k': _cfg(hf_hub_id='timm/'),
+    'pvt_v2_b2_li.in1k': _cfg(hf_hub_id='timm/'),
 })