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573 Commits (683fba76862980d33e0982c9844403e6c8a01fcd)

Author SHA1 Message Date
Ross Wightman ab49d275de Significant norm update
3 years ago
Ross Wightman d04f2f1377 Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster
3 years ago
Ross Wightman 834a9ec721 Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed
3 years ago
Ross Wightman 78912b6375 Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.
3 years ago
Ross Wightman 3dc71695bf
Merge pull request #989 from martinsbruveris/feat/resmlp-dino
3 years ago
Ross Wightman 480c676ffa Fix FX breaking assert in evonorm
3 years ago
Martins Bruveris 85c5ff26d7 Added DINO pretrained ResMLP models.
3 years ago
Ross Wightman d633a014e6 Post merge cleanup. Fix potential security issue passing kwargs directly through to serialized web data.
3 years ago
Nathan Raw b18c9e323b
Update helpers.py
3 years ago
Nathan Raw 308d0b9554
Merge branch 'master' into hf-save-and-push
3 years ago
Ross Wightman 1f53db2ece Updated lamhalobotnet weights, 81.5 top-1
3 years ago
Ross Wightman 15ef108eb4 Add better halo2botnet50ts weights, 82 top-1 @ 256
3 years ago
Ross Wightman 734b2244fe 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.
3 years ago
Ross Wightman 93cc08fdc5 Make evonorm variables 1d to match other PyTorch norm layers, will break weight compat for any existing use (likely minimal, easy to fix).
3 years ago
Ross Wightman af607b75cc Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU
3 years ago
Ross Wightman c976a410d9 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.
3 years ago
Ross Wightman f2006b2437 Cleanup qkv_bias cat in beit model so it can be traced
3 years ago
Ross Wightman 1076a65df1 Minor post FX merge cleanup
3 years ago
Ross Wightman 32c9937dec Merge branch 'fx-feature-extract-new' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-fx-feature-extract-new
3 years ago
Alexander Soare 65d827c7a6 rename notrace registration and standardize trace_utils imports
3 years ago
Ross Wightman 9b2daf2a35 Add ResNeXt-50 weights 81.1 top-1 @ 224, 82 @ 288 with A1 'high aug' recipe
3 years ago
Martins Bruveris 5220711d87 Added B/8 models to ViT.
3 years ago
Alexander Soare 0262a0e8e1 fx ready for review
3 years ago
Alexander Soare d2994016e9 Add try/except guards
3 years ago
Alexander Soare b25ff96768 wip - pre-rebase
3 years ago
Alexander Soare e051dce354 Make all models FX traceable
3 years ago
Alexander Soare cf4561ca72 Add FX based FeatureGraphNet capability
3 years ago
Alexander Soare 0149ec30d7 wip - attempting to rebase
3 years ago
Alexander Soare 02c3a75a45 wip - make it possible to use fx graph in train and eval mode
3 years ago
Alexander Soare bc3d4eb403 wip -rebase
3 years ago
Alexander Soare ab3ac3f25b Add FX based FeatureGraphNet capability
3 years ago
Ross Wightman ddc29da974 Add ResNet101 and ResNet152 weights from higher aug RSB recipes. 81.93 and 82.82 top-1 at 224x224.
3 years ago
Ross Wightman b328e56f49 Update eca_halonext26ts weights to a better set
3 years ago
Ross Wightman 2ddef942b9 Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists
3 years ago
Ross Wightman 4f0f9cb348 Fix #954 by bringing traceable _assert into timm to allow compat w/ PyTorch < 1.8
3 years ago
Ross Wightman ae72d009fa Add weights for lambda_resnet50ts, halo2botnet50ts, lamhalobotnet50ts, updated halonet50ts
3 years ago
Ross Wightman b745d30a3e Fix formatting of last commit
3 years ago
Ross Wightman 3478f1d7f1 Traceability fix for vit models for some experiments
3 years ago
Ross Wightman f658a72e72 Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p
3 years ago
Thomas Viehmann f805ba86d9 use .unbind instead of explicitly listing the indices
3 years ago
Ross Wightman 0fe4fd3f1f add d8 and e8 regnetz models with group size 8
3 years ago
Ross Wightman 25e7c8c5e5 Update broken resnetv2_50 weight url, add resnetv1_101 a1h recipe weights for 224x224 train
3 years ago
Ross Wightman b6caa356d2 Fixed eca_botnext26ts_256 weights added, 79.27
3 years ago
Ross Wightman c02334d9fa Add weights for regnetz_d and haloregnetz_c, update regnetz_c weights. Add commented PyTorch XLA code for halo attention
3 years ago
Ross Wightman 02daf2ab94 Add option to include relative pos embedding in the attention scaling as per references. See discussion #912
3 years ago
Ross Wightman cd34913278 Remove some outdated comments, botnet networks working great now.
3 years ago
Ross Wightman 6ed4cdccca Update lambda_resnet26t weights with better set
3 years ago
ICLR Author 44d6d51668 Add ConvMixer
3 years ago
Ross Wightman a85df34993 Update lambda_resnet26rpt weights to 78.9, add better halonet26t weights at 79.1 with tweak to attention dim
3 years ago
Ross Wightman b544ad4d3f regnetz model default cfg tweaks
3 years ago