Ross Wightman
656757d26b
Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.
3 years ago
Ross Wightman
ccfeb06936
Fix out_indices handling breakage, should have left as per vgg approach.
3 years ago
Ross Wightman
a9f91483a6
Fix #1078 , DarkNet has 6 feature maps. Make vgg and darknet out_indices handling/comments equivalent
3 years ago
Ross Wightman
c21b21660d
visformer supports spatial feat map, update pool_size in pretrained cfg to match
3 years ago
Ross Wightman
9c11dfd9cb
Fix fbnetv3 pretrained cfg changes
3 years ago
Ross Wightman
1406cddc2e
FBNetV3 timm trained weights added for b/d/g variants. Update version to 0.5.2 for pypi release.
3 years ago
Ross Wightman
4df51f3932
Add lcnet_100 and mnasnet_small weights
3 years ago
Ross Wightman
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
Ross Wightman
b9a715c86a
Add more small model defs for MobileNetV3/V2/LCNet
3 years ago
Ross Wightman
b27c21b09a
Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster
3 years ago
Ross Wightman
214c84a235
Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed
3 years ago
Ross Wightman
72b57163d1
Merge branch 'master' of https://github.com/mrT23/pytorch-image-models into mrT23-master
3 years ago
Ross Wightman
de5fa791c6
Merge branch 'master' into norm_norm_norm
3 years ago
Ross Wightman
26ff57f953
Add more small model defs for MobileNetV3/V2/LCNet
3 years ago
Ross Wightman
450ac6a0f5
Post merge tinynet fixes for pool_size, feature extraction
3 years ago
Ross Wightman
a04164cd75
Merge branch 'tinynet' of https://github.com/rsomani95/pytorch-image-models into rsomani95-tinynet
3 years ago
Ross Wightman
8a93ce6ee3
Fix regnetv/w tests, refactor regnet generator code a bit
3 years ago
Ross Wightman
4dec8c8087
Fix skip path regression for updated EfficientNet and RegNet def. Add Pre-Act RegNet support (experimental). Remove BN-TF flag. Add efficientnet_b0_g8_gn model.
3 years ago
Ross Wightman
a52a614475
Remove layer experiment which should not have been added
3 years ago
Ross Wightman
ab49d275de
Significant norm update
...
* ConvBnAct layer renamed -> ConvNormAct and ConvNormActAa for anti-aliased
* Significant update to EfficientNet and MobileNetV3 arch to support NormAct layers and grouped conv (as alternative to depthwise)
* Update RegNet to add Z variant
* Add Pre variant of XceptionAligned that works with NormAct layers
* EvoNorm matches bits_and_tpu branch for merge
3 years ago
Rahul Somani
31bcd36e46
add tinynet models
3 years ago
KAI ZHAO
b4b8d1ec18
fix hard-coded strides
3 years ago
Ross Wightman
d04f2f1377
Update drop_path and drop_block (fast impl) to be symbolically traceable, slightly faster
3 years ago
Ross Wightman
834a9ec721
Disable use of timm nn.Linear wrapper since AMP autocast + torchscript use appears fixed
3 years ago
Ross Wightman
78912b6375
Updated EvoNorm implementations with some experimentation. Add FilterResponseNorm. Updated RegnetZ and ResNetV2 model defs for trials.
3 years ago
talrid
c11f4c3218
support CNNs
3 years ago
mrT23
d6701d8a81
Merge branch 'rwightman:master' into master
3 years ago
qwertyforce
ccb3815360
update arxiv link
3 years ago
Ross Wightman
3dc71695bf
Merge pull request #989 from martinsbruveris/feat/resmlp-dino
...
Added DINO pretrained ResMLP models.
3 years ago
Ross Wightman
480c676ffa
Fix FX breaking assert in evonorm
3 years ago
Martins Bruveris
85c5ff26d7
Added DINO pretrained ResMLP models.
3 years ago
Ross Wightman
d633a014e6
Post merge cleanup. Fix potential security issue passing kwargs directly through to serialized web data.
3 years ago
Nathan Raw
b18c9e323b
Update helpers.py
3 years ago
Nathan Raw
308d0b9554
Merge branch 'master' into hf-save-and-push
3 years ago
talrid
41559247e9
use_ml_decoder_head
3 years ago
Ross Wightman
1f53db2ece
Updated lamhalobotnet weights, 81.5 top-1
3 years ago
Ross Wightman
15ef108eb4
Add better halo2botnet50ts weights, 82 top-1 @ 256
3 years ago
Ross Wightman
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.
3 years ago
Ross Wightman
93cc08fdc5
Make evonorm variables 1d to match other PyTorch norm layers, will break weight compat for any existing use (likely minimal, easy to fix).
3 years ago
Ross Wightman
af607b75cc
Prep a set of ResNetV2 models with GroupNorm, EvoNormB0, EvoNormS0 for BN free model experiments on TPU and IPU
3 years ago
Ross Wightman
c976a410d9
Add ResNet-50 w/ GN (resnet50_gn) and SEBotNet-33-TS (sebotnet33ts_256) model defs and weights. Update halonet50ts weights w/ slightly better variant in1k val, more robust to test sets.
3 years ago
Ross Wightman
f2006b2437
Cleanup qkv_bias cat in beit model so it can be traced
3 years ago
Ross Wightman
1076a65df1
Minor post FX merge cleanup
3 years ago
Ross Wightman
32c9937dec
Merge branch 'fx-feature-extract-new' of https://github.com/alexander-soare/pytorch-image-models into alexander-soare-fx-feature-extract-new
3 years ago
Alexander Soare
65d827c7a6
rename notrace registration and standardize trace_utils imports
3 years ago
Ross Wightman
9b2daf2a35
Add ResNeXt-50 weights 81.1 top-1 @ 224, 82 @ 288 with A1 'high aug' recipe
3 years ago
Martins Bruveris
5220711d87
Added B/8 models to ViT.
3 years ago
Alexander Soare
0262a0e8e1
fx ready for review
3 years ago
Alexander Soare
d2994016e9
Add try/except guards
3 years ago
Alexander Soare
b25ff96768
wip - pre-rebase
3 years ago
Alexander Soare
e051dce354
Make all models FX traceable
3 years ago
Alexander Soare
cf4561ca72
Add FX based FeatureGraphNet capability
3 years ago
Alexander Soare
0149ec30d7
wip - attempting to rebase
3 years ago
Alexander Soare
02c3a75a45
wip - make it possible to use fx graph in train and eval mode
3 years ago
Alexander Soare
bc3d4eb403
wip -rebase
3 years ago
Alexander Soare
ab3ac3f25b
Add FX based FeatureGraphNet capability
3 years ago
Ross Wightman
ddc29da974
Add ResNet101 and ResNet152 weights from higher aug RSB recipes. 81.93 and 82.82 top-1 at 224x224.
3 years ago
Ross Wightman
b328e56f49
Update eca_halonext26ts weights to a better set
3 years ago
Ross Wightman
2ddef942b9
Better fix for #954 that doesn't break torchscript, pull torch._assert into timm namespace when it exists
3 years ago
Ross Wightman
4f0f9cb348
Fix #954 by bringing traceable _assert into timm to allow compat w/ PyTorch < 1.8
3 years ago
Ross Wightman
ae72d009fa
Add weights for lambda_resnet50ts, halo2botnet50ts, lamhalobotnet50ts, updated halonet50ts
3 years ago
Ross Wightman
b745d30a3e
Fix formatting of last commit
3 years ago
Ross Wightman
3478f1d7f1
Traceability fix for vit models for some experiments
3 years ago
Ross Wightman
f658a72e72
Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p
3 years ago
Thomas Viehmann
f805ba86d9
use .unbind instead of explicitly listing the indices
3 years ago
Ross Wightman
0fe4fd3f1f
add d8 and e8 regnetz models with group size 8
3 years ago
Ross Wightman
25e7c8c5e5
Update broken resnetv2_50 weight url, add resnetv1_101 a1h recipe weights for 224x224 train
3 years ago
Ross Wightman
b6caa356d2
Fixed eca_botnext26ts_256 weights added, 79.27
3 years ago
Ross Wightman
c02334d9fa
Add weights for regnetz_d and haloregnetz_c, update regnetz_c weights. Add commented PyTorch XLA code for halo attention
3 years ago
Ross Wightman
02daf2ab94
Add option to include relative pos embedding in the attention scaling as per references. See discussion #912
3 years ago
Ross Wightman
cd34913278
Remove some outdated comments, botnet networks working great now.
3 years ago
Ross Wightman
6ed4cdccca
Update lambda_resnet26t weights with better set
3 years ago
ICLR Author
44d6d51668
Add ConvMixer
3 years ago
Ross Wightman
a85df34993
Update lambda_resnet26rpt weights to 78.9, add better halonet26t weights at 79.1 with tweak to attention dim
3 years ago
Ross Wightman
b544ad4d3f
regnetz model default cfg tweaks
3 years ago
Ross Wightman
e2b8d44ff0
Halo, bottleneck attn, lambda layer additions and cleanup along w/ experimental model defs
...
* align interfaces of halo, bottleneck attn and lambda layer
* add qk_ratio to all of above, control q/k dim relative to output dim
* add experimental haloregnetz, and trionet (lambda + halo + bottle) models
3 years ago
Ross Wightman
fbf59c04ee
Change crop ratio on correct resnet50 variant.
3 years ago
Ross Wightman
ae1ff5792f
Clean a1/a2/3 rsb _0 checkpoints properly, fix v2 loading.
3 years ago
Ross Wightman
da0d39bedd
Update default crop_pct for byoanet
3 years ago
Ross Wightman
cc9bedf373
Add initial ResNet Strikes Back weights for ResNet50 and ResNetV2-50 models
3 years ago
Ross Wightman
64495505b7
Add updated lambda resnet26 and botnet26 checkpoints with fixes applied
3 years ago
Ross Wightman
b2094f4ee8
support bits checkpoints in avg/load
3 years ago
Ross Wightman
007bc39323
Some halo and bottleneck attn code cleanup, add halonet50ts weights, use optimal crop ratios
3 years ago
Ross Wightman
b1c2e3eb92
Match rel_pos_indices attr rename in conv branch
3 years ago
Ross Wightman
b49630a138
Add relative pos embed option to LambdaLayer, fix last transpose/reshape.
3 years ago
Ross Wightman
d657e2cc0b
Remove dead code line from efficientnet
3 years ago
Ross Wightman
0ca687f224
Make 'regnetz' model experiments closer to actual RegNetZ, bottleneck expansion, expand from in_chs, no shortcut on stride 2, tweak model sizes
3 years ago
Ross Wightman
b81e79aae9
Fix bottleneck attn transpose typo, hopefully these train better now..
3 years ago
Ross Wightman
6478bcd02c
Fix regnetz_d conv layer name, use inception mean/std
3 years ago
Ross Wightman
515121cca1
Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last
3 years ago
Ross Wightman
da06cc61d4
ResNetV2 seems to work best without zero_init residual
3 years ago
Ross Wightman
8e11da0ce3
Add experimental RegNetZ(ish) models for training / perf trials.
3 years ago
Alexander Soare
6bbc50beb4
make it possible to provide norm_layer via create_model
3 years ago
nateraw
adcb74f87f
🎨 Import load_state_dict_from_url directly
3 years ago
nateraw
e65a2cba3d
🎨 cleanup and add a couple comments
3 years ago
nateraw
2b6ade24b3
🎨 write model card to enable inference
3 years ago
Ross Wightman
cf5ac2800c
BotNet models were still off, remove weights for bad configs. Add good SE-HaloNet33-TS weights.
3 years ago
Ross Wightman
24720abe3b
Merge branch 'master' into attn_update
3 years ago
Ross Wightman
1c9284c640
Add BeiT 'finetuned' 1k weights and pretrained 22k weights, pretraining specific (masked) model excluded for now
3 years ago
Ross Wightman
f8a215cfe6
A few more crossvit tweaks, fix training w/ no_weight_decay names, add crop option for scaling, adjust default crop_pct for large img size to 1.0 for better results
3 years ago