ba65dfe2c6
Dataset work
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* 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
cd638d50a5
Merge pull request #880 from rwightman/fixes_bce_regnet
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A collection of fixes, model experiments, etc
2021-10-03 19:37:01 -07:00
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
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
908563d060
fix `use_amp`
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Fix https://github.com/rwightman/pytorch-image-models/issues/881
2021-09-26 12:32:22 +08:00
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
0639d9a591
Fix updated validation_batch_size fallback
2021-09-02 14:44:53 -07:00
5db057dca0
Fix misnamed arg, tweak other train script args for better defaults.
2021-09-02 14:15:49 -07:00
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
7c19c35d9f
Global instead of local rank.
2021-06-09 19:11:58 +02:00
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
e685618f45
Merge pull request #550 from amaarora/wandb
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Wandb Support
2021-04-15 09:26:35 -07:00
7c97e66f7c
Remove commented code, add more consistent seed fn
2021-04-12 09:51:36 -07:00
5772c55c57
Make wandb optional
2021-04-10 01:34:20 -04:00
f54897cc0b
make wandb not required but rather optional as huggingface_hub
2021-04-10 01:27:23 -04:00
f13f7508a9
Keep changes to minimal and use args.experiment as wandb project name if it exists
2021-04-10 00:50:52 -04:00
f8bb13f640
Default project name to None
2021-04-10 00:44:05 -04:00
3f028ebc0f
import wandb in summary.py
2021-04-08 03:48:51 -04:00
a9e5d9e5ad
log loss as before
2021-04-08 03:41:40 -04:00
624c9b6949
log to wandb only if using using wandb
2021-04-08 03:40:22 -04:00
00c8e0b8bd
Make use of wandb configurable
2021-04-08 03:35:59 -04:00
8e6fb861e4
Add wandb support
2021-04-08 03:22:29 -04:00
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
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
a5310a3451
Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
2021-04-01 12:15:34 -07:00
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
d584e7f617
Support for huggingface hub via create_model and default_cfgs.
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* 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
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
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
01653db104
Missed clip-mode arg for repo train script
2021-02-15 23:27:16 -08:00
4f49b94311
Initial AGC impl. Still testing.
2021-02-15 23:22:44 -08:00
d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
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More models, GPU-Efficient Nets, RepVGG, classic VGG, and flexible Byob backbone.
2021-02-10 15:44:09 -08:00
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
5114c214fc
Change the Python interpreter to Python 3.x in the scripts
2021-02-09 21:20:28 +02:00
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
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
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
9d5d4b8df6
Fix silly train.py typo during dataset work
2021-01-16 16:32:21 -08:00
855d6cc217
More dataset work including factories and a tensorflow datasets (TFDS) wrapper
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* 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
fd9061dbf7
Remove debug print from train.py
2021-01-04 12:16:06 -08:00
59ec7e6a53
Merge branch 'master' into imagenet21k_datasets_more
2021-01-04 12:11:05 -08:00
e42b140ade
Add --input-size option to scripts to specify full input dimensions from command-line
2021-01-04 00:25:29 +02:00
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.
2020-12-28 16:59:15 -08:00
de6046e213
Initial commit for dataset / parser reorg to support additional datasets / types
2020-12-28 16:59:15 -08:00
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.
2020-11-30 16:19:52 -08:00
460eba7f24
Work around casting issue with combination of native torch AMP and torchscript for Linear layers
2020-11-30 13:30:51 -08:00
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.
2020-11-29 16:22:19 -08:00
9214ca0716
Simplifying EMA...
2020-11-16 12:51:52 -08:00
80078c47bb
Add Adafactor and Adahessian optimizers, cleanup optimizer arg passing, add gradient clipping support.
2020-10-09 17:24:43 -07:00
47a7b3b5b1
More flexible mixup mode, add 'half' mode.
2020-09-07 20:03:06 -07:00
Ross Wightman
Ross Wightman
Shoufa Chen
SamuelGabriel
Aman Arora
Csaba Kertesz