Commit Graph

1238 Commits (de5fa791c623eaa08760672b51e605781342195f)
 

Author SHA1 Message Date
Ross Wightman de5fa791c6 Merge branch 'master' into norm_norm_norm
3 years ago
Ross Wightman 26ff57f953 Add more small model defs for MobileNetV3/V2/LCNet
3 years ago
Hyeongchan Kim a0b2657497
Use `torch.repeat_interleave()` to generate repeated indices faster (#1058)
3 years ago
Ross Wightman a79b2f3328
Merge pull request #1069 from kozistr/feature/boost-pytest
3 years ago
kozistr df5afabc92 update: rollback pytest-xdist
3 years ago
kozistr ca4fb7d154 feature: boost speed of pytest
3 years ago
Ross Wightman 07eb2f1200 Merge branch 'rsomani95-tinynet'
3 years ago
Ross Wightman 450ac6a0f5 Post merge tinynet fixes for pool_size, feature extraction
3 years ago
Ross Wightman a04164cd75 Merge branch 'tinynet' of https://github.com/rsomani95/pytorch-image-models into rsomani95-tinynet
3 years ago
Ross Wightman 8a93ce6ee3 Fix regnetv/w tests, refactor regnet generator code a bit
3 years ago
Ross Wightman 4dec8c8087 Fix skip path regression for updated EfficientNet and RegNet def. Add Pre-Act RegNet support (experimental). Remove BN-TF flag. Add efficientnet_b0_g8_gn model.
3 years ago
Ross Wightman a52a614475 Remove layer experiment which should not have been added
3 years ago
Ross Wightman f55c22bebf
Merge pull request #1034 from zeakey/master
3 years ago
Ross Wightman 683fba7686 Add drop args to benchmark.py
3 years ago
Ross Wightman ab49d275de Significant norm update
3 years ago
Rahul Somani 31bcd36e46 add tinynet models
3 years ago
KAI ZHAO b4b8d1ec18 fix hard-coded strides
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 cd059cbe9c Add FX backward tests back
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 58ffa2bfb7 Update pytest for GitHub runner to use --forked with xdist, hopefully eliminate memory buildup
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 55adfbeb8d Add commented code to increase open file limit via Python (for TFDS dataset building)
3 years ago
Ross Wightman f7d210d759 Remove evonorm models from FX tests
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 f83b0b01e3 Would like to pass GitHub tests again disabling both FX feature extract backward and torchscript tests
3 years ago
Ross Wightman a22b85c1b9 Merge branch 'nateraw-hf-save-and-push'
3 years ago
Ross Wightman d633a014e6 Post merge cleanup. Fix potential security issue passing kwargs directly through to serialized web data.
3 years ago
Ross Wightman 8a83c41d7b Merge branch 'hf-save-and-push' of https://github.com/nateraw/pytorch-image-models into nateraw-hf-save-and-push
3 years ago
Ross Wightman 147e1059a8 Remove FX backward test from GitHub actions runs for now.
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 878bee1d5e Add patch8 vit model to FX exclusion filter
3 years ago
Ross Wightman 9bb4c80d2a Update README.md, missed recent regnetz results
3 years ago
Ross Wightman 79bf4f163f Add mention of ResNet50 weights w/ RSB recipe ingredients and lower train res for better @ 224 results (but worse res scaling beyond). Not changing default.
3 years ago
Ross Wightman ce76a810c2 New FX test strategy, filter based on param count
3 years ago
Ross Wightman 1e51c2d02e More FX test tweaks
3 years ago
Ross Wightman f0507f6da6 Fix k_decay default arg != 1.0 in poly scheduler
3 years ago
Ross Wightman 947e1df3ef Update README.md
3 years ago
Ross Wightman 90448031ea Filter more large models from FX tests
3 years ago
Ross Wightman 1f53db2ece Updated lamhalobotnet weights, 81.5 top-1
3 years ago
Ross Wightman 8dc269c303 Filter more models for FX tests
3 years ago
Ross Wightman 15ef108eb4 Add better halo2botnet50ts weights, 82 top-1 @ 256
3 years ago
Ross Wightman 2482652027 Add nfnet_f2 to FX test exclusion
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 05092e2fbe Add more models to FX filter
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