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110 Commits (5772c55c5781b46cde843cbfee17ec77fe3ec53d)

Author SHA1 Message Date
Aman Arora 5772c55c57 Make wandb optional
4 years ago
Aman Arora f54897cc0b make wandb not required but rather optional as huggingface_hub
4 years ago
Aman Arora f13f7508a9 Keep changes to minimal and use args.experiment as wandb project name if it exists
4 years ago
Aman Arora f8bb13f640 Default project name to None
4 years ago
Aman Arora 3f028ebc0f import wandb in summary.py
4 years ago
Aman Arora a9e5d9e5ad log loss as before
4 years ago
Aman Arora 624c9b6949 log to wandb only if using using wandb
4 years ago
Aman Arora 00c8e0b8bd Make use of wandb configurable
4 years ago
Aman Arora 8e6fb861e4 Add wandb support
4 years ago
Ross Wightman 37c71a5609 Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
4 years ago
Ross Wightman 288682796f Update benchmark script to add precision arg. Fix some downstream (DeiT) compat issues with latest changes. Bump version to 0.4.7
4 years ago
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
4 years ago
Ross Wightman e2e3290fbf Add '--experiment' to train args for fixed exp name if desired, 'train' not added to output folder if specified.
4 years ago
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
4 years ago
Ross Wightman 2db2d87ff7 Add epoch-repeats arg to multiply the number of dataset passes per epoch. Currently for iterable datasets (read TFDS wrapper) only.
4 years ago
Ross Wightman 0e16d4e9fb Add benchmark.py script, and update optimizer factory to be more friendly to use outside of argparse interface.
4 years ago
Ross Wightman 01653db104 Missed clip-mode arg for repo train script
4 years ago
Ross Wightman 4f49b94311 Initial AGC impl. Still testing.
4 years ago
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
4 years ago
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
4 years ago
Csaba Kertesz 5114c214fc Change the Python interpreter to Python 3.x in the scripts
4 years ago
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