118 Commits (58ffa2bfb715e6807d0f110b04cfa524922c534d)

Author	SHA1	Message	Date
Ross Wightman	58ffa2bfb7	Update pytest for GitHub runner to use --forked with xdist, hopefully eliminate memory buildup	3 years ago
Ross Wightman	f7d210d759	Remove evonorm models from FX tests	3 years ago
Ross Wightman	f83b0b01e3	Would like to pass GitHub tests again disabling both FX feature extract backward and torchscript tests	3 years ago
Ross Wightman	147e1059a8	Remove FX backward test from GitHub actions runs for now.	3 years ago
Ross Wightman	878bee1d5e	Add patch8 vit model to FX exclusion filter	3 years ago
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	3 years ago
Alexander Soare	7b8a0017f1	wip to review	3 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	3 years ago
Ross Wightman	381b279785	Add hybrid model fwds back	3 years ago
Ross Wightman	0020268d9b	Try lower max size for non_std default_cfg test	3 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	3 years ago
Ross Wightman	17dc47c8e6	Missed comma in test filters.	3 years ago
Ross Wightman	8bf63b6c6c	Able to use other attn layer in EfficientNet now. Create test ECA + GC B0 configs. Make ECA more configurable.	3 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