037e5e6c09
Fix #1309 , move wandb init after distributed init, only init on rank == 0 process
2 years ago
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 .
2 years ago
ca991c1fa5
add --aot-autograd
2 years ago
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
3 years ago
ce5578bc3a
replace star imports with imported names
3 years ago
dcad288fd6
use argparse groups to group arguments
3 years ago
e1e4c9bbae
rm whitespace
3 years ago
a16171335b
fix: change milestones to decay-milestones
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- change argparser option `milestone` to `decay-milestone`
3 years ago
57a988df30
fix: multistep lr decay epoch bugs
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- add milestones arguments
- change decay_epochs to milestones variable
3 years ago
b049a5c5c6
Merge remote-tracking branch 'origin/master' into norm_norm_norm
3 years ago
04db5833eb
Merge pull request #986 from hankyul2/master
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fix: typo of argment parser desc in train.py
3 years ago
0557c8257d
Fix bug introduced in non layer_decay weight_decay application. Remove debug print, fix arg desc.
3 years ago
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
3 years ago
95cfc9b3e8
Merge remote-tracking branch 'origin/master' into norm_norm_norm
3 years ago
abc9ba2544
Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks.
3 years ago
f0f9eccda8
Add --fuser arg to train/validate/benchmark scripts to select jit fuser type
3 years ago
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.
3 years ago
ab5ae32f75
fix: typo of argment parser desc in train.py
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- Remove duplicated `of`
3 years ago
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 )
3 years ago
cd638d50a5
Merge pull request #880 from rwightman/fixes_bce_regnet
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A collection of fixes, model experiments, etc
3 years ago
d9abfa48df
Make broadcast_buffers disable its own flag for now (needs more testing on interaction with dist_bn)
3 years ago
80075b0b8a
Add worker_seeding arg to allow selecting old vs updated data loader worker seed for (old) experiment repeatability
3 years ago
908563d060
fix `use_amp`
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Fix https://github.com/rwightman/pytorch-image-models/issues/881
3 years ago
0387e6057e
Update binary cross ent impl to use thresholding as an option (convert soft targets from mixup/cutmix to 0, 1)
3 years ago
0639d9a591
Fix updated validation_batch_size fallback
3 years ago
5db057dca0
Fix misnamed arg, tweak other train script args for better defaults.
3 years ago
fb94350896
Update training script and loader factory to allow use of scheduler updates, repeat augment, and bce loss
3 years ago
7c19c35d9f
Global instead of local rank.
3 years ago
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.
4 years ago
e685618f45
Merge pull request #550 from amaarora/wandb
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Wandb Support
4 years ago
7c97e66f7c
Remove commented code, add more consistent seed fn
4 years ago
5772c55c57
Make wandb optional
4 years ago
f54897cc0b
make wandb not required but rather optional as huggingface_hub
4 years ago
f13f7508a9
Keep changes to minimal and use args.experiment as wandb project name if it exists
4 years ago
f8bb13f640
Default project name to None
4 years ago
3f028ebc0f
import wandb in summary.py
4 years ago
a9e5d9e5ad
log loss as before
4 years ago
624c9b6949
log to wandb only if using using wandb
4 years ago
00c8e0b8bd
Make use of wandb configurable
4 years ago
8e6fb861e4
Add wandb support
4 years ago
37c71a5609
Some further create_optimizer_v2 tweaks, remove some redudnant code, add back safe model str. Benchmark step times per batch.
4 years ago
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
a5310a3451
Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
4 years ago
e2e3290fbf
Add '--experiment' to train args for fixed exp name if desired, 'train' not added to output folder if specified.
4 years ago
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
4 years ago
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
0e16d4e9fb
Add benchmark.py script, and update optimizer factory to be more friendly to use outside of argparse interface.
4 years ago
01653db104
Missed clip-mode arg for repo train script
4 years ago
4f49b94311
Initial AGC impl. Still testing.
4 years ago
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.
4 years ago
Ross Wightman
Jakub Kaczmarzyk
Xiao Wang
Ross Wightman
han
Shoufa Chen
SamuelGabriel
Aman Arora