Ross Wightman
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27bbc70d71
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Add back old ModelEma and rename new one to ModelEmaV2 to avoid compat breaks in dependant code. Shuffle train script, add a few comments, remove DataParallel support, support experimental torchscript training.
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4 years ago |
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Ross Wightman
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9214ca0716
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Simplifying EMA...
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4 years ago |
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Ross Wightman
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53aeed3499
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ver 0.3.1
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4 years ago |
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Ross Wightman
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30ab4a1494
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Fix issue in optim factory with sgd / eps flag. Bump version to 0.3.1
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4 years ago |
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Ross Wightman
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741572dc9d
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Bump version to 0.3.0 for pending PyPi push
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4 years ago |
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Ross Wightman
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b401952caf
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Add newly added vision transformer large/base 224x224 weights ported from JAX official repo
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4 years ago |
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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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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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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 |
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talrid
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27fadaa922
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asymmetric_loss
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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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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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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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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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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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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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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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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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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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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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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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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 |
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Ross Wightman
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d5145fa4d5
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Change default_cfg names for senet to include the legacy and match model names
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4 years ago |
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Ross Wightman
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92f2d0d65d
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Merge branch 'master' into cutmix. Fixup a few issues.
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4 years ago |
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Ross Wightman
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1696499ce5
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Bump version to 0.2.0, ready to roll (I think)
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4 years ago |
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Ross Wightman
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e62758cf4f
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More documentation updates, fix a typo
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4 years ago |
