9d6aad44f8
Update tests to run Python 3.9, PyTorch 1.10, torchvision 0.11.1
2021-11-18 21:38:04 -08:00
ee40b582bb
Merge branch 'alexander-soare-fx-feature-extract-new'
2021-11-18 21:26:56 -08:00
f2006b2437
Cleanup qkv_bias cat in beit model so it can be traced
2021-11-18 21:25:00 -08:00
1076a65df1
Minor post FX merge cleanup
2021-11-18 19:47:07 -08:00
32c9937dec
Merge branch 'fx-feature-extract-new' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-fx-feature-extract-new
2021-11-18 16:31:29 -08:00
78b36bf46c
Places365 doesn't exist in some still used torchvision version
2021-11-18 14:59:51 -08:00
65d827c7a6
rename notrace registration and standardize trace_utils imports
2021-11-15 21:03:21 +00:00
9b2daf2a35
Add ResNeXt-50 weights 81.1 top-1 @ 224, 82 @ 288 with A1 'high aug' recipe
2021-11-14 13:17:27 -08:00
0a1ff9744a
Merge branch 'martinsbruveris-add-vit-b8'
2021-11-14 13:07:16 -08:00
9b5d6dc7e2
Merge branch 'add-vit-b8' of https://github.com/martinsbruveris/pytorch-image-models into martinsbruveris-add-vit-b8
2021-11-14 12:54:28 -08:00
cfa414cad2
Matching two bits_and_tpu changes for TFDs wrapper
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* change 'samples' -> 'examples' for tfds wrapper to match tfds naming
* add class_to_idx for image classification datasets in tfds wrapper
2021-11-14 12:52:19 -08:00
5220711d87
Added B/8 models to ViT.
2021-11-14 11:01:48 +00:00
0262a0e8e1
fx ready for review
2021-11-13 00:06:33 +00:00
d2994016e9
Add try/except guards
2021-11-12 21:16:53 +00:00
b25ff96768
wip - pre-rebase
2021-11-12 20:45:05 +00:00
e051dce354
Make all models FX traceable
2021-11-12 20:45:05 +00:00
cf4561ca72
Add FX based FeatureGraphNet capability
2021-11-12 20:45:05 +00:00
0149ec30d7
wip - attempting to rebase
2021-11-12 20:45:05 +00:00
02c3a75a45
wip - make it possible to use fx graph in train and eval mode
2021-11-12 20:45:05 +00:00
a6c24b936b
Tests to enforce all models FX traceable
2021-11-12 20:45:05 +00:00
bc3d4eb403
wip -rebase
2021-11-12 20:45:05 +00:00
ab3ac3f25b
Add FX based FeatureGraphNet capability
2021-11-12 20:45:05 +00:00
65419f60cc
Merge pull request #964 from rwightman/more_datasets
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Dataset additions
2021-11-11 13:34:05 -08:00
9ec3210c2d
More TFDS parser cleanup, support improved TFDS even_split impl (on tfds-nightly only currently).
2021-11-10 15:52:09 -08:00
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
ddc29da974
Add ResNet101 and ResNet152 weights from higher aug RSB recipes. 81.93 and 82.82 top-1 at 224x224.
2021-11-02 17:59:16 -07:00
b328e56f49
Update eca_halonext26ts weights to a better set
2021-11-02 16:52:53 -07:00
2ddef942b9
Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists
2021-11-02 11:22:33 -07:00
4f0f9cb348
Fix #954 by bringing traceable _assert into timm to allow compat w/ PyTorch < 1.8
2021-11-02 09:21:40 -07:00
a41de1f666
Add interpolation mode handling to transforms. Removes InterpolationMode warning. Works for torchvision versions w/ and w/o InterpolationMode enum. Fix #738 .
2021-10-28 17:35:01 -07:00
ed41d32637
Add repr to auto_augment and random_erasing impl
2021-10-28 17:33:36 -07:00
135a48d024
Fix sam result again for imagenetv2
2021-10-28 14:46:45 -07:00
aaff2d82d0
Add new 50ts attn models to benchmark/meta csv files
2021-10-28 14:32:47 -07:00
1e17863b7b
Fixed botne*t26 model results, add some 50ts self-attn variants
2021-10-28 13:55:24 -07:00
ae72d009fa
Add weights for lambda_resnet50ts, halo2botnet50ts, lamhalobotnet50ts, updated halonet50ts
2021-10-27 22:08:54 -07:00
13178ba73a
Add benchmark and metadata csv files
2021-10-26 10:50:46 -07:00
b745d30a3e
Fix formatting of last commit
2021-10-25 15:15:14 -07:00
3478f1d7f1
Traceability fix for vit models for some experiments
2021-10-25 15:13:08 -07:00
f658a72e72
Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p
2021-10-25 00:40:59 -07:00
71f00bfe9e
Don't run profile if model is torchscripted
2021-10-24 22:41:20 -07:00
7da1b0b61c
Merge pull request #933 from t-vi/unbind
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use .unbind instead of explicitly listing the indices
2021-10-24 22:33:18 -07:00
5882e62ada
Add activation count to fvcore based profiling in benchmark.py
2021-10-24 15:30:38 -07:00
51f488b7f5
Update results.csv files with latest weights
2021-10-24 14:48:33 -07:00
f805ba86d9
use .unbind instead of explicitly listing the indices
2021-10-24 21:08:47 +02:00
57992509f9
Fix some formatting in utils/model.py
2021-10-23 20:35:36 -07:00
0fe4fd3f1f
add d8 and e8 regnetz models with group size 8
2021-10-23 20:34:21 -07:00
25e7c8c5e5
Update broken resnetv2_50 weight url, add resnetv1_101 a1h recipe weights for 224x224 train
2021-10-20 22:14:12 -07:00
f7325c7b71
Support either deepspeed or fvcore for flop profiling
2021-10-20 15:17:30 -07:00
66253790d4
Add `--bench profile` mode for benchmark.py to just run deepspeed detailed profile on model
2021-10-19 16:06:38 -07:00
13a8bf7972
Add train size override and deepspeed GMACs counter (if deepspeed installed) to benchmark.py
2021-10-19 15:15:01 -07:00
Ross Wightman
Alexander Soare
Martins Bruveris
Ross Wightman
Thomas Viehmann