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89 Commits (b4e216e377cd748cafc3fd24722bbece9779d1af)

Author SHA1 Message Date
Ross Wightman 4203efa36d Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py.
4 years ago
Ross Wightman 38d8f67570 Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)
4 years ago
Ross Wightman 5d4c3d0af3 Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup.
4 years ago
Ross Wightman 9d5d4b8df6 Fix silly train.py typo during dataset work
4 years ago
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
4 years ago
Ross Wightman fd9061dbf7 Remove debug print from train.py
4 years ago
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Csaba Kertesz e42b140ade Add --input-size option to scripts to specify full input dimensions from command-line
4 years ago
Ross Wightman 231d04e91a ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.
4 years ago
Ross Wightman de6046e213 Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
Ross Wightman 2ed8f24715 A few more changes for 0.3.2 maint release. Linear layer change for mobilenetv3 and inception_v3, support no bias for linear wrapper.
4 years ago
Ross Wightman 460eba7f24 Work around casting issue with combination of native torch AMP and torchscript for Linear layers
4 years ago
Ross Wightman 27bbc70d71 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.
4 years ago
Ross Wightman 9214ca0716 Simplifying EMA...
4 years ago
Ross Wightman 80078c47bb Add Adafactor and Adahessian optimizers, cleanup optimizer arg passing, add gradient clipping support.
4 years ago
Ross Wightman 47a7b3b5b1 More flexible mixup mode, add 'half' mode.
4 years ago
Ross Wightman 532e3b417d Reorg of utils into separate modules
4 years ago
Ross Wightman 751b0bba98 Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
4 years ago
Ross Wightman 9c297ec67d Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.
4 years ago
Ross Wightman c2cd1a332e Improve torch amp support and add channels_last support for train/validate scripts
4 years ago
datamining99 5f563ca4df fix save_checkpoint bug with native amp
4 years ago
datamining99 d98967ed5d add support for native torch AMP in torch 1.6
4 years ago
Ross Wightman 8c9814e3f5 Final cleanup of mixup/cutmix. Element/batch modes working with both collate (prefetcher active) and without prefetcher.
4 years ago
Ross Wightman f471c17c9d More cutmix/mixup overhaul, ready to kick-off some trials.
4 years ago
Ross Wightman 92f2d0d65d Merge branch 'master' into cutmix. Fixup a few issues.
4 years ago
Ross Wightman fa28067704 Add more augmentation arguments, including a no_aug disable flag. Fix #209
4 years ago
Ross Wightman 7995295968 Merge branch 'logger' into features. Change 'logger' to '_logger'.
4 years ago
Ross Wightman 1998bd3180 Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger
4 years ago
Ross Wightman 6c17d57a2c Fix some attributions, add copyrights to some file docstrings
4 years ago
Antoine Broyelle 78fa0772cc Leverage python hierachical logger
4 years ago
Ross Wightman 6441e9cc1b Fix memory_efficient mode for DenseNets. Add AntiAliasing (Blur) support for DenseNets and create one test model. Add lr cycle/mul params to train args.
5 years ago
AFLALO, Jonathan Isaac a7f570c9b7 added MultiEpochsDataLoader
5 years ago
Ross Wightman 13cf68850b Remove poorly named metrics from torch imagenet example origins. Use top1/top5 in csv output for consistency with existing validation results files, acc elsewhere. Fixes #111
5 years ago
Ross Wightman 27b3680d49 Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.
5 years ago
Ross Wightman 514b0938c4 Experimenting with per-epoch learning rate noise w/ step scheduler
5 years ago
Ross Wightman 43225d110c Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.
5 years ago
Ross Wightman b3cb5f3275 Working on CutMix impl as per #8, integrating with Mixup, currently experimenting...
5 years ago
Andrew Lavin b72013def8 Added commandline argument validation-batch-size-multiplier with default set to 1.
5 years ago
Ross Wightman 5b7cc16ac9 Add warning about using sync-bn with zero initialized BN layers. Fixes #54
5 years ago
Ross Wightman d9a6a9d0af
Merge pull request #74 from rwightman/augmix-jsd
5 years ago
Ross Wightman 3eb4a96eda Update AugMix, JSD, etc comments and references
5 years ago
Ross Wightman 7547119891 Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
Ross Wightman 40fea63ebe Add checkpoint averaging script. Add headers, shebangs, exec perms to all scripts
5 years ago
Ross Wightman 4666cc9aed Add --pin-mem arg to enable dataloader pin_memory (showing more benefit in some scenarios now), also add --torchscript arg to validate.py for testing models with jit.script
5 years ago
Ross Wightman 232ab7fb12 Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago
Ross Wightman 5719b493ad Missed update dist-bn logic for EMA model
5 years ago
Ross Wightman a435ea1327 Change reduce_bn to distribute_bn, add ability to choose between broadcast and reduce (mean). Add crop_pct arg to allow selecting validation crop while training.
5 years ago
Ross Wightman 3bff2b21dc Add support for keeping running bn stats the same across distributed training nodes before eval/save
5 years ago
Ross Wightman 1f39d15f15 Allow float decay epochs arg for training, works out with step lr math
5 years ago
Ross Wightman 7b83e67f77 Pass drop connect arg through to EfficientNet models
5 years ago