Ross Wightman
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61200db0ab
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in_chans=1 working w/ pretrained weights for vision_transformer
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4 years ago |
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Ross Wightman
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e90edce438
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Support native silu activation (aka swish). An optimized ver is available in PyTorch 1.7.
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4 years ago |
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Ross Wightman
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da6cd2cc1f
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Fix regression for pretrained classifier loading when using entrypt functions directly
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4 years ago |
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Ross Wightman
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f591e90b0d
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Make sure num_features attr is present in vit models as with others
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4 years ago |
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Ross Wightman
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4a3df7842a
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Fix topn metric view regression on PyTorch 1.7
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4 years ago |
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Ross Wightman
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f944242cb0
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Fix #262, num_classes arg mixup. Make vision_transformers a bit closer to other models wrt get/reset classfier/forward_features. Fix torchscript for ViT.
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4 years ago |
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Ross Wightman
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da1b90e5c9
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Update results csvs with latest run
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4 years ago |
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Ross Wightman
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736f209e7d
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Update vision transformers to be compatible with official code. Port official ViT weights from jax impl.
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4 years ago |
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Ross Wightman
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7613094fb5
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Add ViT to sotabench
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4 years ago |
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Ross Wightman
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477a78ed81
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Fix optimizer factory regressin for optimizers like sgd/momentum that don't have an eps arg
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4 years ago |
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Ross Wightman
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27a93e9de7
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Improve test crop for ViT models. Small now 77.85, added base weights at 79.35 top-1.
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4 years ago |
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Ross Wightman
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d4db9e7977
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Add small vision transformer weights. 77.42 top-1.
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4 years ago |
Ross Wightman
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ccfb5751ab
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Merge pull request #255 from mrT23/master
Adding ASL (asymmetric loss)
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4 years ago |
talrid
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27fadaa922
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asymmetric_loss
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4 years ago |
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talrid
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79e727e07a
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Merge branch 'master' of https://github.com/mrT23/pytorch-image-models
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4 years ago |
mrT23
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8331fac688
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Merge pull request #2 from rwightman/master
merge original
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4 years ago |
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Ross Wightman
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70ae7f0cc2
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Merge pull request #250 from rwightman/vision_transformer
Vision Transformer
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4 years ago |
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Ross Wightman
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be53107e8a
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Update README, ensure vit excluded from all tests (not ready)
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4 years ago |
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Ross Wightman
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f31933cb37
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Initial Vision Transformer impl w/ patch and hybrid variants. Refactor tuple helpers.
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4 years ago |
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Ross Wightman
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9305313291
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Default to old checkpoint format for now, still want compatibility with older torch ver for released models
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4 years ago |
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Ross Wightman
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a4d8fea61e
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Add model based wd skip support. Improve cross version compat of optimizer factory. Fix #247
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4 years ago |
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Ross Wightman
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80078c47bb
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Add Adafactor and Adahessian optimizers, cleanup optimizer arg passing, add gradient clipping support.
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4 years ago |
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Ross Wightman
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fcb6258877
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Add missing leaky_relu layer factory defn, update Apex/Native loss scaler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.
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4 years ago |
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Ross Wightman
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186075ef03
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Merge pull request #244 from hollance/master
Bug fix: test_time_pool would be set to a non-False value
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4 years ago |
Matthijs Hollemans
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f04bdc8c8e
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don't forget this file
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4 years ago |
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Matthijs Hollemans
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8ffdc5910a
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test_time_pool would be set to a non-False value even if test-time pooling is not available
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4 years ago |
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Ross Wightman
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4be5b51e0a
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Missed moving some seresnet -> legacy in sotabench. Check sotabench cache.
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4 years ago |
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Ross Wightman
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e8e2d9cabf
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Add DropPath (stochastic depth) to ReXNet and VoVNet. RegNet DropPath impl tweak and dedupe se args.
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4 years ago |
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Ross Wightman
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e8ca45854c
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More models in sotabench, more control over sotabench run, dataset filename extraction consistency
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4 years ago |
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Ross Wightman
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9c406532bd
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Add EfficientNet-EdgeTPU-M (efficientnet_em) model trained natively in PyTorch. More sotabench fiddling.
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4 years ago |
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Ross Wightman
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3681c5c4dd
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Another sotabench.py debug iter
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4 years ago |
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Ross Wightman
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08029852d9
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Sotabench debugging
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4 years ago |
|
Ross Wightman
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c40384f5bd
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Add ResNet weights. 80.5 (top-1) ResNet-50-D, 77.1 ResNet-34-D, 72.7 ResNet-18-D.
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4 years ago |
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Ross Wightman
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e39bf6ef59
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Merge pull request #237 from rwightman/utils_cleanup
Utils refactor, more cutmix modes / change mode arg
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4 years ago |
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Ross Wightman
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47a7b3b5b1
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More flexible mixup mode, add 'half' mode.
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4 years ago |
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Ross Wightman
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532e3b417d
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Reorg of utils into separate modules
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4 years ago |
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Ross Wightman
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9ce42d5c5a
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Update README.md
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4 years ago |
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Ross Wightman
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0729dbe865
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Update README.md
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4 years ago |
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Ross Wightman
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33f8a1bf36
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Updated README, add wide_resnet50_2 and seresnext50_32x4d weights
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4 years ago |
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Ross Wightman
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5247eb37a7
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Merge pull request #233 from rwightman/torchamp
Native Torch AMP and channels_last support for train.py and validate.py
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4 years ago |
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Ross Wightman
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751b0bba98
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Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
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4 years ago |
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Ross Wightman
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9c297ec67d
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Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.
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4 years ago |
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Ross Wightman
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80c9d9cc72
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Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'
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4 years ago |
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Ross Wightman
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90a01f47d1
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hrnet features_only pretrained weight loading issue. Fix #232.
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4 years ago |
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Ross Wightman
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110a7c4982
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AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992
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4 years ago |
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Ross Wightman
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c2cd1a332e
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Improve torch amp support and add channels_last support for train/validate scripts
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4 years ago |
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Ross Wightman
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1d34a0a851
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Merge branch 'master' of https://github.com/tgisaturday/pytorch-image-models into torchamp
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4 years ago |
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Ross Wightman
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6d158adfe9
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Update README.md
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4 years ago |
datamining99
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5f563ca4df
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fix save_checkpoint bug with native amp
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4 years ago |
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datamining99
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d98967ed5d
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add support for native torch AMP in torch 1.6
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4 years ago |
