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 |
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 |
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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 |
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Ross Wightman
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470220b1f4
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Fix MobileNetV3 crash with global_pool='', output consistent with other models but not equivalent due to efficient head.
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4 years ago |
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Ross Wightman
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fc8b8afb6f
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Fix a silly bug in Sample version of EvoNorm missing x* part of swish, update EvoNormBatch to accumulated unbiased variance.
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4 years ago |
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Ross Wightman
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fa26f6c1cf
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Update README.md
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4 years ago |
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Ross Wightman
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f614df7921
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Bump version to 0.2.1 and update README
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4 years ago |
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Ross Wightman
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b423bc8362
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Merge pull request #218 from rwightman/cutmix
CutMix + MixUp overhaul
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4 years ago |
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Ross Wightman
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8c9814e3f5
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Final cleanup of mixup/cutmix. Element/batch modes working with both collate (prefetcher active) and without prefetcher.
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4 years ago |
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Ross Wightman
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0f5d9d8166
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Add CSPResNet50 weights, 79.6 top-1 at 256x256
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4 years ago |
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Ross Wightman
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0734c0d187
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Update test workflow
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4 years ago |
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Ross Wightman
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b1b6e7c361
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Fix a few more issues related to #216 w/ TResNet (space2depth) and FP16 weights in wide resnets. Also don't completely dump pretrained weights in in_chans != 1 or 3 cases.
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4 years ago |
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Ross Wightman
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512b2dd645
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Add new EfficientNet-B3 and RegNetY-3.2GF weights, both just over 82 top-1
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4 years ago |
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Ross Wightman
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6890300877
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Add DropPath (stochastic depth) to RegNet
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4 years ago |
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Ross Wightman
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47794d2c59
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Merge pull request #216 from yu4u/fix_default_cfgs
Fix default_cfgs for first conv
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4 years ago |
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Ross Wightman
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cd23f55397
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Fix mixed prec issues with new mixup code
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4 years ago |
Yusuke Uchida
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e717250ed4
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remove comments
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4 years ago |
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Yusuke Uchida
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f6b56602f9
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fix test_model_default_cfgs
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4 years ago |
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Ross Wightman
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f471c17c9d
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More cutmix/mixup overhaul, ready to kick-off some trials.
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4 years ago |
