Ross Wightman
ce76a810c2
New FX test strategy, filter based on param count
3 years ago
Ross Wightman
1e51c2d02e
More FX test tweaks
3 years ago
Ross Wightman
90448031ea
Filter more large models from FX tests
3 years ago
Ross Wightman
8dc269c303
Filter more models for FX tests
3 years ago
Ross Wightman
2482652027
Add nfnet_f2 to FX test exclusion
3 years ago
Ross Wightman
05092e2fbe
Add more models to FX filter
3 years ago
Ross Wightman
3819bef93e
Add FX test exclusion since it uses more ram and barfs on GitHub actions. Will take a few iterations to include needed models :(
3 years ago
Ross Wightman
9b3519545d
Attempt to reduce memory footprint of FX tests for GitHub actions runs
3 years ago
Ross Wightman
bdd3dff0ca
beit_large models killing GitHub actions test, filter out
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
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
a6c24b936b
Tests to enforce all models FX traceable
3 years ago
Alexander Soare
6d2acec1bb
Fix ordering of tests
3 years ago
Alexander Soare
65c3d78b96
Freeze unfreeze functionality finalized. Tests added
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
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
a897e0ebcc
Merge branch 'feature/crossvit' of https://github.com/chunfuchen/pytorch-image-models into chunfuchen-feature/crossvit
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
Ross Wightman
5f12de4875
Add initial AttentionPool2d that's being trialed. Fix comment and still trying to improve reliability of sgd test.
3 years ago
Ross Wightman
54e90e82a5
Another attempt at sgd momentum test passing...
3 years ago
Richard Chen
7ab9d4555c
add crossvit
3 years ago
Ross Wightman
fc894c375c
Another attempt at sgd momentum test passing...
3 years ago
Ross Wightman
708d87a813
Fix ViT SAM weight compat as weights at URL changed to not use repr layer. Fix #825 . Tweak optim test.
3 years ago
Ross Wightman
c207e02782
MOAR optimizer changes. Woo!
3 years ago
Ross Wightman
42c1f0cf6c
Fix lars tests
3 years ago
Ross Wightman
a426511c95
More optimizer cleanup. Change all to no longer use .data. Improve (b)float16 use with adabelief. Add XLA compatible Lars.
3 years ago
Ross Wightman
a6af48be64
add madgradw optimizer
3 years ago
Ross Wightman
55fb5eedf6
Remove experiment from lamb impl
3 years ago
Ross Wightman
959eaff121
Add optimizer tests and update testing to pytorch 1.9
3 years ago
Ross Wightman
01cb46a9a5
Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.
3 years ago
Ross Wightman
ef1e2e12be
Attempt to fix xcit test failures on github runner by filter largest models
3 years ago
Alexander Soare
623e8b8eb8
wip xcit
4 years ago
Alexander Soare
7b8a0017f1
wip to review
4 years ago
Ross Wightman
b41cffaa93
Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713
4 years ago
Ross Wightman
381b279785
Add hybrid model fwds back
4 years ago
Ross Wightman
0020268d9b
Try lower max size for non_std default_cfg test
4 years ago
Ross Wightman
8880f696b6
Refactoring, cleanup, improved test coverage.
...
* Add eca_nfnet_l2 weights, 84.7 @ 384x384
* All 'non-std' (ie transformer / mlp) models have classifier / default_cfg test added
* Fix #694 reset_classifer / num_features / forward_features / num_classes=0 consistency for transformer / mlp models
* Add direct loading of npz to vision transformer (pure transformer so far, hybrid to come)
* Rename vit_deit* to deit_*
* Remove some deprecated vit hybrid model defs
* Clean up classifier flatten for conv classifiers and unusual cases (mobilenetv3/ghostnet)
* Remove explicit model fns for levit conv, just pass in arg
4 years ago
Ross Wightman
17dc47c8e6
Missed comma in test filters.
4 years ago
Ross Wightman
8bf63b6c6c
Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.
4 years ago
Ross Wightman
9c78de8c02
Fix #661 , move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.
4 years ago
Ross Wightman
5db7452173
Fix visformer in_chans stem handling
4 years ago
Ross Wightman
fd92ba0de8
Filter large vit models from torchscript tests
4 years ago
Ross Wightman
99d97e0d67
Hopefully the last test update for this PR...
4 years ago
Ross Wightman
d400f1dbdd
Filter test models before creation for backward/torchscript tests
4 years ago
Ross Wightman
c4572cc5aa
Add Visformer-small weighs, tweak torchscript jit test img size.
4 years ago