Ross Wightman
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450ac6a0f5
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Post merge tinynet fixes for pool_size, feature extraction
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3 years ago |
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Ross Wightman
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a04164cd75
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Merge branch 'tinynet' of https://github.com/rsomani95/pytorch-image-models into rsomani95-tinynet
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3 years ago |
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Rahul Somani
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31bcd36e46
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add tinynet models
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3 years ago |
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KAI ZHAO
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b4b8d1ec18
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fix hard-coded strides
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3 years ago |
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Ross Wightman
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3dc71695bf
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Merge pull request #989 from martinsbruveris/feat/resmlp-dino
Added DINO pretrained ResMLP models.
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3 years ago |
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Ross Wightman
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480c676ffa
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Fix FX breaking assert in evonorm
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3 years ago |
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Martins Bruveris
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85c5ff26d7
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Added DINO pretrained ResMLP models.
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3 years ago |
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Ross Wightman
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d633a014e6
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Post merge cleanup. Fix potential security issue passing kwargs directly through to serialized web data.
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3 years ago |
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Nathan Raw
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b18c9e323b
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Update helpers.py
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3 years ago |
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Nathan Raw
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308d0b9554
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Merge branch 'master' into hf-save-and-push
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3 years ago |
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Ross Wightman
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1f53db2ece
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Updated lamhalobotnet weights, 81.5 top-1
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3 years ago |
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Ross Wightman
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15ef108eb4
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Add better halo2botnet50ts weights, 82 top-1 @ 256
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3 years ago |
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Ross Wightman
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734b2244fe
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Add RegNetZ-D8 (83.5 @ 256, 84 @ 320) and RegNetZ-E8 (84.5 @ 256, 85 @ 320) weights. Update names of existing RegZ models to include group size.
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3 years ago |
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Ross Wightman
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93cc08fdc5
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Make evonorm variables 1d to match other PyTorch norm layers, will break weight compat for any existing use (likely minimal, easy to fix).
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3 years ago |
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Ross Wightman
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af607b75cc
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Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU
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3 years ago |
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Ross Wightman
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c976a410d9
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Add ResNet-50 w/ GN (resnet50_gn) and SEBotNet-33-TS (sebotnet33ts_256) model defs and weights. Update halonet50ts weights w/ slightly better variant in1k val, more robust to test sets.
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3 years ago |
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Ross Wightman
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f2006b2437
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Cleanup qkv_bias cat in beit model so it can be traced
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3 years ago |
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Ross Wightman
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1076a65df1
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Minor post FX merge cleanup
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3 years ago |
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Ross Wightman
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32c9937dec
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Merge branch 'fx-feature-extract-new' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-fx-feature-extract-new
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3 years ago |
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Alexander Soare
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65d827c7a6
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rename notrace registration and standardize trace_utils imports
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3 years ago |
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Ross Wightman
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9b2daf2a35
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Add ResNeXt-50 weights 81.1 top-1 @ 224, 82 @ 288 with A1 'high aug' recipe
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3 years ago |
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Martins Bruveris
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5220711d87
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Added B/8 models to ViT.
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3 years ago |
|
Alexander Soare
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0262a0e8e1
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fx ready for review
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3 years ago |
|
Alexander Soare
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d2994016e9
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Add try/except guards
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3 years ago |
|
Alexander Soare
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b25ff96768
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wip - pre-rebase
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3 years ago |
|
Alexander Soare
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e051dce354
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Make all models FX traceable
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3 years ago |
|
Alexander Soare
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cf4561ca72
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Add FX based FeatureGraphNet capability
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3 years ago |
|
Alexander Soare
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0149ec30d7
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wip - attempting to rebase
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3 years ago |
|
Alexander Soare
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02c3a75a45
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wip - make it possible to use fx graph in train and eval mode
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3 years ago |
|
Alexander Soare
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bc3d4eb403
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wip -rebase
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3 years ago |
|
Alexander Soare
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ab3ac3f25b
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Add FX based FeatureGraphNet capability
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3 years ago |
|
Ross Wightman
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ddc29da974
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Add ResNet101 and ResNet152 weights from higher aug RSB recipes. 81.93 and 82.82 top-1 at 224x224.
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3 years ago |
|
Ross Wightman
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b328e56f49
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Update eca_halonext26ts weights to a better set
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3 years ago |
|
Ross Wightman
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2ddef942b9
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Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists
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3 years ago |
|
Ross Wightman
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4f0f9cb348
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Fix #954 by bringing traceable _assert into timm to allow compat w/ PyTorch < 1.8
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3 years ago |
|
Ross Wightman
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ae72d009fa
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Add weights for lambda_resnet50ts, halo2botnet50ts, lamhalobotnet50ts, updated halonet50ts
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3 years ago |
|
Ross Wightman
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b745d30a3e
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Fix formatting of last commit
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3 years ago |
|
Ross Wightman
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3478f1d7f1
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Traceability fix for vit models for some experiments
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3 years ago |
|
Ross Wightman
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f658a72e72
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Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p
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3 years ago |
|
Thomas Viehmann
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f805ba86d9
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use .unbind instead of explicitly listing the indices
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3 years ago |
|
Ross Wightman
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0fe4fd3f1f
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add d8 and e8 regnetz models with group size 8
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3 years ago |
|
Ross Wightman
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25e7c8c5e5
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Update broken resnetv2_50 weight url, add resnetv1_101 a1h recipe weights for 224x224 train
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3 years ago |
|
Ross Wightman
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b6caa356d2
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Fixed eca_botnext26ts_256 weights added, 79.27
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3 years ago |
|
Ross Wightman
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c02334d9fa
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Add weights for regnetz_d and haloregnetz_c, update regnetz_c weights. Add commented PyTorch XLA code for halo attention
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3 years ago |
|
Ross Wightman
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02daf2ab94
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Add option to include relative pos embedding in the attention scaling as per references. See discussion #912
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3 years ago |
|
Ross Wightman
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cd34913278
|
Remove some outdated comments, botnet networks working great now.
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3 years ago |
|
Ross Wightman
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6ed4cdccca
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Update lambda_resnet26t weights with better set
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3 years ago |
|
ICLR Author
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44d6d51668
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Add ConvMixer
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3 years ago |
|
Ross Wightman
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a85df34993
|
Update lambda_resnet26rpt weights to 78.9, add better halonet26t weights at 79.1 with tweak to attention dim
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3 years ago |
|
Ross Wightman
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b544ad4d3f
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regnetz model default cfg tweaks
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3 years ago |
