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Missed a few pretrained tags...

pull/1804/head
Ross Wightman 2023-05-10 12:16:30 -07:00
parent ff2464e2a0
commit 850ab4931f
3 changed files with 34 additions and 34 deletions
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2
timm/models/dla.py
View File

@ -415,7 +415,7 @@ default_cfgs = generate_default_cfgs({
'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/'),
})

52
timm/models/gcvit.py
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@ -33,36 +33,11 @@ from timm.layers import DropPath, to_2tuple, to_ntuple, Mlp, ClassifierHead, Lay
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(

14
timm/models/pvt_v2.py
View File

@ -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/'),
})