5e4a4b2adc
Merge branch 'device_flex' into mesa_ema
2024-02-02 09:45:30 -08:00
dd84ef2cd5
ModelEmaV3 and MESA experiments
2024-02-02 09:45:04 -08:00
d0ff315eed
Merge remote-tracking branch 'emav3/faster_ema' into mesa_ema
2024-01-27 14:52:10 -08:00
a48ab818f5
Improving device flexibility in train. Fix #2081
2024-01-20 15:10:20 -08:00
c50004db79
Allow training w/o validation split set
2024-01-08 09:38:42 -08:00
5242ba6edc
MobileOne and FastViT weights on HF hub, more code cleanup and tweaks, features_only working. Add reparam flag to validate and benchmark, support reparm of all models with fuse(), reparameterize() or switch_to_deploy() methods on modules
2023-08-23 22:50:37 -07:00
4cd7fb88b2
clip gradients with update
2023-04-19 23:36:20 -07:00
df81d8d85b
Cleanup gradient accumulation, fix a few issues, a few other small cleanups in related code.
2023-04-19 23:11:00 -07:00
ab7ca62a6e
Merge branch 'main' of github.com:rwightman/pytorch-image-models into wip-voidbag-accumulate-grad
2023-04-19 11:08:12 -07:00
aef6e562e4
Add onnx utils and export code, tweak padding and conv2d_same for better dynamic export with recent PyTorch
2023-04-11 17:03:57 -07:00
7f29a46d44
Add gradient accumulation option to train.py
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option: iters-to-accum(iterations to accmulate)
Gradient accumulation improves training performance(samples/s).
It can reduce the number of parameter sharing between each node.
This option can be helpful when network is bottleneck.
Signed-off-by: Taeksang Kim <voidbag@puzzle-ai.com>
2023-02-06 09:24:48 +09:00
81ca323751
Davit update formatting and fix grad checkpointing ( #7 )
...
fixed head to gap->norm->fc as per convnext, along with option for norm->gap->fc
failed tests due to clip convnext models, davit tests passed
2023-01-15 14:34:56 -08:00
3491506fec
Add foreach option for faster EMA
2022-11-30 14:06:58 -05:00
6ec5cd6a99
Use in-place operations for EMA
2022-11-17 11:53:29 -05:00
b1b024dfed
Scheduler update, add v2 factory method, support scheduling on updates instead of just epochs. Add LR to summary csv. Add lr_base scaling calculations to train script. Fix #1168
2022-10-07 10:43:04 -07:00
87939e6fab
Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed.
2022-09-23 16:08:59 -07:00
0dbd9352ce
Add bulk_runner script and updates to benchmark.py and validate.py for better error handling in bulk runs (used for benchmark and validation result runs). Improved batch size decay stepping on retry...
2022-07-18 18:04:54 -07:00
324a4e58b6
disable nvfuser for jit te/legacy modes (for PT 1.12+)
2022-07-13 10:34:34 -07:00
2f2b22d8c7
Disable nvfuser fma / opt level overrides per #1244
2022-05-13 09:27:13 -07:00
f88c606fcf
fixing channels_last on cond_conv2d; update nvfuser debug env variable
2022-04-25 12:41:46 -07:00
f0f9eccda8
Add --fuser arg to train/validate/benchmark scripts to select jit fuser type
2022-01-17 13:54:25 -08:00
57992509f9
Fix some formatting in utils/model.py
2021-10-23 20:35:36 -07:00
e5da481073
Small post-merge tweak for freeze/unfreeze, add to __init__ for utils
2021-10-06 17:00:27 -07:00
431e60c83f
Add acknowledgements for freeze_batch_norm inspiration
2021-10-06 14:28:49 +01:00
65c3d78b96
Freeze unfreeze functionality finalized. Tests added
2021-10-02 15:55:08 +01:00
0cb8ea432c
wip
2021-10-02 15:55:08 +01:00
d667351eac
Tweak accuracy topk safety. Fix #807
2021-08-19 14:18:53 -07:00
35c9740826
Fix accuracy when topk > num_classes
2021-08-19 11:58:59 +02:00
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
3f028ebc0f
import wandb in summary.py
2021-04-08 03:48:51 -04:00
624c9b6949
log to wandb only if using using wandb
2021-04-08 03:40:22 -04:00
6b18061773
Add GIST to docstring for quick access
2021-03-29 15:33:31 +11:00
92b1db9a79
update docstrings and add check on and
2021-03-29 10:04:51 +11:00
b85be24054
update to work with fnmatch
2021-03-29 09:36:31 +11:00
20626e8387
Add to extract stats for SPP
2021-03-27 05:40:04 +11:00
4f49b94311
Initial AGC impl. Still testing.
2021-02-15 23:22:44 -08:00
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
4ca52d73d8
Add separate set and update method to ModelEmaV2
2020-12-03 10:05:09 -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
4a3df7842a
Fix topn metric view regression on PyTorch 1.7
2020-10-29 14:04:15 -07:00
80078c47bb
Add Adafactor and Adahessian optimizers, cleanup optimizer arg passing, add gradient clipping support.
2020-10-09 17:24:43 -07:00
fcb6258877
Add missing leaky_relu layer factory defn, update Apex/Native loss scaler interfaces to support unscaled grad clipping. Bump ver to 0.2.2 for pending release.
2020-10-02 16:19:39 -07:00
532e3b417d
Reorg of utils into separate modules
2020-09-07 13:58:09 -07:00
Ross Wightman
Taeksang Kim
Fredo Guan
Jerome Rony
jjsjann123
Alexander Soare
Yohann Lereclus
Ross Wightman
Aman Arora