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Jasha10
56c3a84db3
Update type hint for `register_notrace_module`
register_notrace_module is used to decorate types (i.e. subclasses of nn.Module).
It is not called on module instances.
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2 years ago |
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layers
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pruned
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__init__.py
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beit.py
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Remove some redundant requires_grad=True from nn.Parameter in third party code
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2 years ago |
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byoanet.py
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byobnet.py
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cait.py
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Remove some redundant requires_grad=True from nn.Parameter in third party code
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2 years ago |
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coat.py
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convit.py
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convmixer.py
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convnext.py
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Add dilation support to convnext, allows output_stride=8 and 16 use. Fix #1341
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2 years ago |
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crossvit.py
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cspnet.py
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Add cs3sedarknet_x weights w/ 82.65 @ 288 top1. Add 2 cs3 edgenet models (w/ 3x3-1x1 block), remove aa from cspnet blocks (not needed)
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2 years ago |
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deit.py
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Unbreak gamma remap impacting beit checkpoint load, version bump to 0.6.4
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2 years ago |
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densenet.py
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dla.py
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dpn.py
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edgenext.py
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x and xx small edgenext models do benefit from larger test input size
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2 years ago |
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efficientnet.py
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efficientnet_blocks.py
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efficientnet_builder.py
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factory.py
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features.py
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fx_features.py
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Update type hint for `register_notrace_module`
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2 years ago |
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ghostnet.py
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gluon_resnet.py
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gluon_xception.py
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hardcorenas.py
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helpers.py
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hrnet.py
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Ensure all model entrypoint fn default to `pretrained=False` (a few didn't)
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2 years ago |
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hub.py
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👽 use hf_hub_download instead of cached_download
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2 years ago |
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inception_resnet_v2.py
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inception_v3.py
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inception_v4.py
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levit.py
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mlp_mixer.py
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Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355
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2 years ago |
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mobilenetv3.py
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Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355
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2 years ago |
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mobilevit.py
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Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355
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2 years ago |
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nasnet.py
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nest.py
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nfnet.py
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pit.py
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pnasnet.py
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poolformer.py
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Remove some redundant requires_grad=True from nn.Parameter in third party code
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2 years ago |
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registry.py
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regnet.py
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res2net.py
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resnest.py
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resnet.py
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Ensure all model entrypoint fn default to `pretrained=False` (a few didn't)
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2 years ago |
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resnetv2.py
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rexnet.py
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selecsls.py
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senet.py
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sequencer.py
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sknet.py
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swin_transformer.py
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swin_transformer_v2.py
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swin_transformer_v2_cr.py
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tnt.py
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tresnet.py
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Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355
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2 years ago |
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twins.py
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vgg.py
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visformer.py
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vision_transformer.py
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Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355
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2 years ago |
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vision_transformer_hybrid.py
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vision_transformer_relpos.py
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volo.py
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vovnet.py
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xception.py
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xception_aligned.py
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xcit.py
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Remove some redundant requires_grad=True from nn.Parameter in third party code
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2 years ago |
