ff6a919cf5
Add --fast-norm arg to benchmark.py, train.py, validate.py
2022-08-25 17:20:46 -07:00
11060f84c5
make train.py compatible with torchrun
2022-07-07 14:44:55 -07:00
a29fba307d
disable dist_bn when sync_bn active
2022-06-24 21:30:17 -07:00
879df47c0a
Support BatchNormAct2d for sync-bn use. Fix #1254
2022-06-24 14:51:26 -07:00
037e5e6c09
Fix #1309 , move wandb init after distributed init, only init on rank == 0 process
2022-06-21 12:32:40 -07:00
9e12530433
use utils namespace instead of function/classnames
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This fixes buggy behavior introduced by
https://github.com/rwightman/pytorch-image-models/pull/1266 .
Related to https://github.com/rwightman/pytorch-image-models/pull/1273 .
2022-06-12 22:39:41 -07:00
ca991c1fa5
add --aot-autograd
2022-06-07 18:01:52 -07:00
fd360ac951
Merge pull request #1266 from kaczmarj/enh/no-star-imports
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ENH: replace star imports with imported names in train.py
2022-05-20 08:55:07 -07:00
ce5578bc3a
replace star imports with imported names
2022-05-18 11:04:10 -04:00
dcad288fd6
use argparse groups to group arguments
2022-05-18 10:27:33 -04:00
e1e4c9bbae
rm whitespace
2022-05-18 10:17:02 -04:00
a16171335b
fix: change milestones to decay-milestones
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- change argparser option `milestone` to `decay-milestone`
2022-05-10 07:57:19 +09:00
57a988df30
fix: multistep lr decay epoch bugs
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- add milestones arguments
- change decay_epochs to milestones variable
2022-05-06 13:14:43 +09:00
b049a5c5c6
Merge remote-tracking branch 'origin/master' into norm_norm_norm
2022-03-21 13:41:43 -07:00
04db5833eb
Merge pull request #986 from hankyul2/master
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fix: typo of argment parser desc in train.py
2022-03-21 12:13:51 -07:00
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
372ad5fa0d
Significant model refactor and additions:
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* 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
95cfc9b3e8
Merge remote-tracking branch 'origin/master' into norm_norm_norm
2022-01-25 22:20:45 -08:00
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
f0f9eccda8
Add --fuser arg to train/validate/benchmark scripts to select jit fuser type
2022-01-17 13:54:25 -08:00
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
ab5ae32f75
fix: typo of argment parser desc in train.py
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- Remove duplicated `of`
2021-11-24 09:32:05 +09:00
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
Ross Wightman
Xiao Wang
Jakub Kaczmarzyk
Ross Wightman
han
Shoufa Chen
SamuelGabriel
Aman Arora