Ross Wightman 7f1b223c02 Add maxvit_rmlp_nano_rw_256 model def & weights, make window/grid size dynamic wrt img_size by default

2022-08-29 15:49:32 -07:00

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layers

Clean up no_grad for trunc normal weight inits

2022-08-25 16:29:52 -07:00

pruned

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__init__.py

Add --fast-norm arg to benchmark.py, train.py, validate.py

2022-08-25 17:20:46 -07:00

beit.py

Remove some redundant requires_grad=True from nn.Parameter in third party code

2022-07-20 12:37:41 -07:00

byoanet.py

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byobnet.py

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cait.py

Remove some redundant requires_grad=True from nn.Parameter in third party code

2022-07-20 12:37:41 -07:00

coat.py

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convit.py

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convmixer.py

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convnext.py

For ConvNeXt, use timm internal LayerNorm for fast_norm in non conv_mlp mode

2022-08-23 15:17:12 -07:00

crossvit.py

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cspnet.py

Add weights for two 'Edge' block (3x3->1x1) variants of CS3 networks.

2022-07-26 16:40:27 -07:00

deit.py

Add DeiT-III 'medium' model defs and weights

2022-07-28 15:03:20 -07:00

densenet.py

Fix two default args in DenseNet blocks... fix #1427

2022-08-25 15:00:35 -07:00

dla.py

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dpn.py

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edgenext.py

Add edgenext_base model def & weight link, update to improve ONNX export #1385

2022-08-05 16:58:34 -07:00

efficientformer.py

More test fixes, pool size for 256x256 maxvit models

2022-08-23 13:38:26 -07:00

efficientnet_blocks.py

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efficientnet_builder.py

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efficientnet.py

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factory.py

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features.py

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fx_features.py

Update type hint for register_notrace_module

2022-07-22 16:59:55 -05:00

gcvit.py

More model and test fixes

2022-08-22 17:40:31 -07:00

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

Ensure all model entrypoint fn default to pretrained=False (a few didn't)

2022-07-19 13:58:41 -07:00

hub.py

👽 use hf_hub_download instead of cached_download

2022-07-14 16:41:45 -04:00

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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maxxvit.py

Add maxvit_rmlp_nano_rw_256 model def & weights, make window/grid size dynamic wrt img_size by default

2022-08-29 15:49:32 -07:00

mlp_mixer.py

Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355

2022-07-21 17:36:15 -07:00

mobilenetv3.py

Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355

2022-07-21 17:36:15 -07:00

mobilevit.py

Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355

2022-07-21 17:36:15 -07:00

mvitv2.py

pretrained_cfg entry for mvitv2_small_cls

2022-08-28 15:27:01 -07:00

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

Remove some redundant requires_grad=True from nn.Parameter in third party code

2022-07-20 12:37:41 -07:00

pvt_v2.py

More model and test fixes

2022-08-22 17:40:31 -07:00

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

Ensure all model entrypoint fn default to pretrained=False (a few didn't)

2022-07-19 13:58:41 -07:00

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_v2_cr.py

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swin_transformer_v2.py

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swin_transformer.py

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tnt.py

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tresnet.py

Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355

2022-07-21 17:36:15 -07:00

twins.py

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vgg.py

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visformer.py

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vision_transformer_hybrid.py

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vision_transformer_relpos.py

Update vit_relpos w/ some additional weights, some cleanup to match recent vit updates, more MLP log coord experiments.

2022-07-07 21:33:25 -07:00

vision_transformer.py

Take no_emb_class into account when calling resize_pos_embed

2022-07-24 19:11:45 +08:00

volo.py

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vovnet.py

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xception_aligned.py

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xception.py

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xcit.py

Remove some redundant requires_grad=True from nn.Parameter in third party code

2022-07-20 12:37:41 -07:00