656757d26b
Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.
2022-01-14 16:28:27 -08:00
ccfeb06936
Fix out_indices handling breakage, should have left as per vgg approach.
2022-01-07 19:30:51 -08:00
a9f91483a6
Fix #1078 , DarkNet has 6 feature maps. Make vgg and darknet out_indices handling/comments equivalent
2022-01-07 15:08:32 -08:00
c21b21660d
visformer supports spatial feat map, update pool_size in pretrained cfg to match
2022-01-07 14:31:43 -08:00
9c11dfd9cb
Fix fbnetv3 pretrained cfg changes
2022-01-07 14:09:50 -08:00
1406cddc2e
FBNetV3 timm trained weights added for b/d/g variants. Update version to 0.5.2 for pypi release.
2022-01-07 12:05:08 -08:00
02ae11e526
Leaving repeat aug sampler indices as tensor thrashes worker shared process memory
2022-01-06 22:33:09 -08:00
4df51f3932
Add lcnet_100 and mnasnet_small weights
2022-01-06 22:21:05 -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
b9a715c86a
Add more small model defs for MobileNetV3/V2/LCNet
2022-01-06 16:06:43 -08:00
b27c21b09a
Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster
2022-01-06 16:04:58 -08:00
25d1526092
Update pytest for GitHub runner to use --forked with xdist, hopefully eliminate memory buildup
2022-01-06 16:04:23 -08:00
214c84a235
Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed
2022-01-06 16:01:51 -08:00
a0b2657497
Use `torch.repeat_interleave()` to generate repeated indices faster ( #1058 )
...
* update: use numpy to generate repeated indices faster
* update: use torch.repeat_interleave() instead of np.repeat()
* refactor: remove unused import, numpy
* refactor: torch.range to torch.arange
* update: tensor to list before appending the extra samples
* update: concatenate the paddings with torch.cat
2022-01-02 14:01:06 -08:00
a79b2f3328
Merge pull request #1069 from kozistr/feature/boost-pytest
...
Boost speed of `test`
2022-01-02 13:57:58 -08:00
df5afabc92
update: rollback pytest-xdist
2022-01-02 14:39:17 +09:00
ca4fb7d154
feature: boost speed of pytest
2022-01-01 15:31:38 +09:00
07eb2f1200
Merge branch 'rsomani95-tinynet'
2021-12-21 23:52:39 -08:00
450ac6a0f5
Post merge tinynet fixes for pool_size, feature extraction
2021-12-21 23:51:54 -08:00
a04164cd75
Merge branch 'tinynet' of https://github.com/rsomani95/pytorch-image-models into rsomani95-tinynet
2021-12-21 22:45:56 -08:00
f55c22bebf
Merge pull request #1034 from zeakey/master
...
Fix hard-coded strides in VisFormer.
2021-12-14 14:12:47 -08:00
31bcd36e46
add tinynet models
2021-12-14 19:34:04 +05:30
b4b8d1ec18
fix hard-coded strides
2021-12-14 17:22:54 +08:00
f7d210d759
Remove evonorm models from FX tests
2021-11-24 13:21:24 -08:00
3dc71695bf
Merge pull request #989 from martinsbruveris/feat/resmlp-dino
...
Added DINO pretrained ResMLP models.
2021-11-24 09:26:07 -08:00
480c676ffa
Fix FX breaking assert in evonorm
2021-11-24 09:24:47 -08:00
85c5ff26d7
Added DINO pretrained ResMLP models.
2021-11-24 15:02:46 +02:00
f83b0b01e3
Would like to pass GitHub tests again disabling both FX feature extract backward and torchscript tests
2021-11-23 22:24:58 -08:00
a22b85c1b9
Merge branch 'nateraw-hf-save-and-push'
2021-11-23 16:55:13 -08:00
d633a014e6
Post merge cleanup. Fix potential security issue passing kwargs directly through to serialized web data.
2021-11-23 16:54:01 -08:00
8a83c41d7b
Merge branch 'hf-save-and-push' of https://github.com/nateraw/pytorch-image-models into nateraw-hf-save-and-push
2021-11-23 14:33:07 -08:00
147e1059a8
Remove FX backward test from GitHub actions runs for now.
2021-11-23 14:32:32 -08:00
b18c9e323b
Update helpers.py
2021-11-22 23:43:44 -05:00
308d0b9554
Merge branch 'master' into hf-save-and-push
2021-11-22 23:39:27 -05:00
878bee1d5e
Add patch8 vit model to FX exclusion filter
2021-11-22 14:00:27 -08:00
9bb4c80d2a
Update README.md, missed recent regnetz results
2021-11-22 12:08:46 -08:00
79bf4f163f
Add mention of ResNet50 weights w/ RSB recipe ingredients and lower train res for better @ 224 results (but worse res scaling beyond). Not changing default.
2021-11-22 11:49:05 -08:00
ce76a810c2
New FX test strategy, filter based on param count
2021-11-22 11:48:40 -08:00
1e51c2d02e
More FX test tweaks
2021-11-22 09:46:43 -08:00
f0507f6da6
Fix k_decay default arg != 1.0 in poly scheduler
2021-11-22 09:37:36 -08:00
947e1df3ef
Update README.md
2021-11-21 21:27:08 -08:00
90448031ea
Filter more large models from FX tests
2021-11-21 21:26:44 -08:00
1f53db2ece
Updated lamhalobotnet weights, 81.5 top-1
2021-11-21 19:49:51 -08:00
8dc269c303
Filter more models for FX tests
2021-11-21 19:49:33 -08:00
15ef108eb4
Add better halo2botnet50ts weights, 82 top-1 @ 256
2021-11-21 14:09:12 -08:00
2482652027
Add nfnet_f2 to FX test exclusion
2021-11-21 14:08:53 -08:00
734b2244fe
Add RegNetZ-D8 (83.5 @ 256, 84 @ 320) and RegNetZ-E8 (84.5 @ 256, 85 @ 320) weights. Update names of existing RegZ models to include group size.
2021-11-20 15:52:04 -08:00
05092e2fbe
Add more models to FX filter
2021-11-20 15:51:48 -08:00
93cc08fdc5
Make evonorm variables 1d to match other PyTorch norm layers, will break weight compat for any existing use (likely minimal, easy to fix).
2021-11-20 15:50:51 -08:00
af607b75cc
Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU
2021-11-19 17:37:00 -08:00
Ross Wightman
Hyeongchan Kim
Ross Wightman
Rahul Somani
KAI ZHAO
Martins Bruveris
Nathan Raw