Commit Graph

132 Commits (ff21fdb41d310368ede8fa2ed293901a6b03da2c)

Author SHA1 Message Date
Ross Wightman b049a5c5c6 Merge remote-tracking branch 'origin/master' into norm_norm_norm 2022-03-21 13:41:43 -07:00
Ross Wightman 04db5833eb
Merge pull request #986 from hankyul2/master
fix: typo of argment parser desc in train.py
2022-03-21 12:13:51 -07:00
Ross Wightman 0557c8257d Fix bug introduced in non layer_decay weight_decay application. Remove debug print, fix arg desc. 2022-02-28 17:06:32 -08:00
Ross Wightman 372ad5fa0d Significant model refactor and additions:
* All models updated with revised foward_features / forward_head interface
* Vision transformer and MLP based models consistently output sequence from forward_features (pooling or token selection considered part of 'head')
* WIP param grouping interface to allow consistent grouping of parameters for layer-wise decay across all model types
* Add gradient checkpointing support to a significant % of models, especially popular architectures
* Formatting and interface consistency improvements across models
* layer-wise LR decay impl part of optimizer factory w/ scale support in scheduler
* Poolformer and Volo architectures added
2022-02-28 13:56:23 -08:00
Ross Wightman 95cfc9b3e8 Merge remote-tracking branch 'origin/master' into norm_norm_norm 2022-01-25 22:20:45 -08:00
Ross Wightman abc9ba2544 Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks. 2022-01-25 21:54:13 -08:00
Ross Wightman f0f9eccda8 Add --fuser arg to train/validate/benchmark scripts to select jit fuser type 2022-01-17 13:54:25 -08:00
Ross Wightman 5ccf682a8f Remove deprecated bn-tf train arg and create_model handler. Add evos/evob models back into fx test filter until norm_norm_norm branch merged. 2022-01-06 18:08:39 -08:00
han ab5ae32f75
fix: typo of argment parser desc in train.py
- Remove duplicated `of`
2021-11-24 09:32:05 +09:00
Ross Wightman ba65dfe2c6 Dataset work
* support some torchvision datasets
* improvements to TFDS wrapper for subsplit handling (fix #942), shuffle seed
* add class-map support to train (fix #957)
2021-11-09 22:34:15 -08:00
Ross Wightman cd638d50a5
Merge pull request #880 from rwightman/fixes_bce_regnet
A collection of fixes, model experiments, etc
2021-10-03 19:37:01 -07:00
Ross Wightman d9abfa48df Make broadcast_buffers disable its own flag for now (needs more testing on interaction with dist_bn) 2021-10-01 13:43:55 -07:00
Ross Wightman 80075b0b8a Add worker_seeding arg to allow selecting old vs updated data loader worker seed for (old) experiment repeatability 2021-09-28 16:37:45 -07:00
Shoufa Chen 908563d060
fix `use_amp`
Fix https://github.com/rwightman/pytorch-image-models/issues/881
2021-09-26 12:32:22 +08:00
Ross Wightman 0387e6057e Update binary cross ent impl to use thresholding as an option (convert soft targets from mixup/cutmix to 0, 1) 2021-09-23 15:45:39 -07:00
Ross Wightman 0639d9a591 Fix updated validation_batch_size fallback 2021-09-02 14:44:53 -07:00
Ross Wightman 5db057dca0 Fix misnamed arg, tweak other train script args for better defaults. 2021-09-02 14:15:49 -07:00
Ross Wightman fb94350896 Update training script and loader factory to allow use of scheduler updates, repeat augment, and bce loss 2021-09-01 17:46:40 -07:00
SamuelGabriel 7c19c35d9f
Global instead of local rank. 2021-06-09 19:11:58 +02:00
Ross Wightman e15e68d881 Fix #566, summary.csv writing to pwd on local_rank != 0. Tweak benchmark mem handling to see if it reduces likelihood of 'bad' exceptions on OOM. 2021-04-15 23:03:56 -07:00
Ross Wightman e685618f45
Merge pull request #550 from amaarora/wandb
Wandb Support
2021-04-15 09:26:35 -07:00
Ross Wightman 7c97e66f7c Remove commented code, add more consistent seed fn 2021-04-12 09:51:36 -07:00
Aman Arora 5772c55c57 Make wandb optional 2021-04-10 01:34:20 -04:00
Aman Arora f54897cc0b make wandb not required but rather optional as huggingface_hub 2021-04-10 01:27:23 -04:00
Aman Arora f13f7508a9 Keep changes to minimal and use args.experiment as wandb project name if it exists 2021-04-10 00:50:52 -04:00
Aman Arora f8bb13f640 Default project name to None 2021-04-10 00:44:05 -04:00
Aman Arora 3f028ebc0f import wandb in summary.py 2021-04-08 03:48:51 -04:00
Aman Arora a9e5d9e5ad log loss as before 2021-04-08 03:41:40 -04:00
Aman Arora 624c9b6949 log to wandb only if using using wandb 2021-04-08 03:40:22 -04:00
Aman Arora 00c8e0b8bd Make use of wandb configurable 2021-04-08 03:35:59 -04:00
Aman Arora 8e6fb861e4 Add wandb support 2021-04-08 03:22:29 -04:00
Ross Wightman 37c71a5609 Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch. 2021-04-01 22:34:55 -07:00
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 2021-04-01 16:40:12 -07:00
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update 2021-04-01 12:15:34 -07:00
Ross Wightman e2e3290fbf Add '--experiment' to train args for fixed exp name if desired, 'train' not added to output folder if specified. 2021-03-20 12:02:17 -07:00
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
* improve consistency of model creation helper fns
* add comments to some of the model helpers
* support passing external default_cfgs so they can be sourced from hub
2021-03-16 22:48:26 -07:00
Ross Wightman 2db2d87ff7 Add epoch-repeats arg to multiply the number of dataset passes per epoch. Currently for iterable datasets (read TFDS wrapper) only. 2021-02-23 17:31:42 -08:00
Ross Wightman 0e16d4e9fb Add benchmark.py script, and update optimizer factory to be more friendly to use outside of argparse interface. 2021-02-23 15:38:12 -08:00
Ross Wightman 01653db104 Missed clip-mode arg for repo train script 2021-02-15 23:27:16 -08:00
Ross Wightman 4f49b94311 Initial AGC impl. Still testing. 2021-02-15 23:22:44 -08:00
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
More models, GPU-Efficient Nets, RepVGG, classic VGG, and flexible Byob backbone.
2021-02-10 15:44:09 -08:00
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately. 2021-02-10 14:31:18 -08:00
Csaba Kertesz 5114c214fc Change the Python interpreter to Python 3.x in the scripts 2021-02-09 21:20:28 +02:00
Ross Wightman 4203efa36d Fix #387 so that checkpoint saver works with max history of 1. Add checkpoint-hist arg to train.py. 2021-01-31 20:14:51 -08:00
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) 2021-01-25 11:53:34 -08:00
Ross Wightman 5d4c3d0af3 Add enhanced ParserImageInTar that can read images from tars within tars, folders with multiple tars, etc. Additional comment cleanup. 2021-01-22 10:52:04 -08:00
Ross Wightman 9d5d4b8df6 Fix silly train.py typo during dataset work 2021-01-16 16:32:21 -08:00
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
* Add parser/dataset factory methods for more flexible dataset & parser creation
* Add dataset parser that wraps TFDS image classification datasets
* Tweak num_classes handling bug for 21k models
* Add initial deit models so they can be benchmarked in next csv results runs
2021-01-15 17:26:20 -08:00
Ross Wightman fd9061dbf7 Remove debug print from train.py 2021-01-04 12:16:06 -08:00
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more 2021-01-04 12:11:05 -08:00