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Remove some outdated comments, botnet networks working great now.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
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
Ross Wightman
7ab2491ab7
Better handling of crossvit for tests / forward_features, fix torchscript regression in my changes
3 years ago
Ross Wightman
f1808e0970
Post crossvit merge cleanup, change model names to reflect input size, cleanup img size vs scale handling, fix tests
3 years ago
Ross Wightman
4027412757
Add resnet33ts weights, update resnext26ts baseline weights
3 years ago
Richard Chen
9fe5798bee
fix bug for reset classifier and fix for validating the dimension
3 years ago
Richard Chen
3718c5a5bd
fix loading pretrained model
3 years ago
Richard Chen
bb50b69a57
fix for torch script
3 years ago
Ross Wightman
5bd04714e4
Cleanup weight init for byob/byoanet and related
3 years ago
Ross Wightman
8642401e88
Swap botnet 26/50 weights/models after realizing a mistake in arch def, now figuring out why they were so low...
3 years ago