73 Commits (532e3b417dba7f2b6106d8be2db647f2e4542b58)

Author	SHA1	Message	Date
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 ... with this update one can tune the kind of logs generated by timm but training and inference traces are unchanged	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 ... AugMix, JSD loss, SplitBatchNorm (Auxiliary BN), and more	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
Ross Wightman	4748c6dff2	Fix non-prefetch variant of Mixup. Fixes #50	5 years ago
Ross Wightman	187ecbafbe	Add support for loading args from yaml file (and saving them with each experiment)	5 years ago
Ross Wightman	b750b76f67	More AutoAugment work. Ready to roll...	5 years ago
Ross Wightman	3d9c8a6489	Add support for new AMP checkpointing support w/ amp.state_dict	5 years ago
Ross Wightman	fac58f609a	Add RAdam, NovoGrad, Lookahead, and AdamW optimizers, a few ResNet tweaks and scheduler factory tweak. ... * Add some of the trendy new optimizers. Decent results but not clearly better than the standards. * Can create a None scheduler for constant LR * ResNet defaults to zero_init of last BN in residual * add resnet50d config	5 years ago
Ross Wightman	66634d2200	Add support to split random erasing blocks into randomly selected number with --recount arg. Fix random selection of aspect ratios.	5 years ago
Ross Wightman	e7c8a37334	Make min-lr and cooldown-epochs cmdline args, change dash in color_jitter arg for consistency	5 years ago
Ross Wightman	c6b32cbe73	A number of tweaks to arguments, epoch handling, config ... * reorganize train args * allow resolve_data_config to be used with dict args, not just arparse * stop incrementing epoch before save, more consistent naming vs csv, etc * update resume and start epoch handling to match above * stop auto-incrementing epoch in scheduler	5 years ago
Ross Wightman	b20bb58284	Distributed tweaks ... * Support PyTorch native DDP as fallback if APEX not present * Support SyncBN for both APEX and Torch native (if torch >= 1.1) * EMA model does not appear to need DDP wrapper, no gradients, updated from wrapped model	5 years ago
Ross Wightman	6fc886acaf	Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py	5 years ago
Ross Wightman	aa4354f466	Big re-org, working towards making pip/module as 'timm'	5 years ago
Ross Wightman	7dab6d1ec7	Default to img_size in model default_cfg, defer output folder creation until later in the init sequence	5 years ago
Ross Wightman	9bcd65181b	Add exponential moving average for model weights + few other additions and cleanup ... * ModelEma class added to track an EMA set of weights for the model being trained * EMA handling added to train, validation and clean_checkpoint scripts * Add multi checkpoint or multi-model validation support to validate.py * Add syncbn option (APEX) to train script for experimentation * Cleanup interface of CheckpointSaver while adding ema functionality	5 years ago
Ross Wightman	e6c14427c0	More appropriate/correct loss name	6 years ago
Zhun Zhong	127487369f	Fix bug for prefetcher ... Set input and target to Cuda when without using prefetcher.	6 years ago
Ross Wightman	4d2056722a	Mixup and prefetcher improvements ... * Do mixup in custom collate fn if prefetcher enabled, reduces performance impact * Move mixup code to own file * Add arg to disable prefetcher * Fix no cuda transfer when prefetcher off * Random erasing when prefetcher off wasn't changed to match new args, fixed * Default random erasing to off (prob = 0.) for train	6 years ago