102 Commits (6dcbaf211a3c167de0d2ea81341f50b312635b01)

Author	SHA1	Message	Date
Ross Wightman	a8d103e18b	Giant/gigantic vits snuck through in a test a broke GitHub test runner, add filter	3 years ago
Ross Wightman	ef72ad4177	Extra vit_huge model likely to cause test issue (non in21k variant), adding to filters	3 years ago
Ross Wightman	e967c72875	Update REAMDE.md. Sneak in g/G (giant / gigantic?) ViT defs from scaling paper	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	25d1526092	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
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
Richard Chen	7ab9d4555c	add crossvit	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.	3 years ago
Ross Wightman	5db7452173	Fix visformer in_chans stem handling	3 years ago
Ross Wightman	fd92ba0de8	Filter large vit models from torchscript tests	3 years ago
Ross Wightman	99d97e0d67	Hopefully the last test update for this PR...	3 years ago
Ross Wightman	d400f1dbdd	Filter test models before creation for backward/torchscript tests	3 years ago
Ross Wightman	c4572cc5aa	Add Visformer-small weighs, tweak torchscript jit test img size.	4 years ago
Ross Wightman	83487e2a0d	Lower max backward size for tests.	4 years ago
Ross Wightman	bfc72f75d3	Expand scope of testing for non-std vision transformer / mlp models. Some related cleanup and create fn cleanup for all vision transformer and mlp models. More CoaT weights.	4 years ago
Ross Wightman	f45de37690	Merge branch 'master' into levit_visformer_rednet	4 years ago
Ross Wightman	306c86b668	Merge branch 'convit' of https://github.com/amaarora/pytorch-image-models into amaarora-convit	4 years ago
Aman Arora	50d6aab0ef	Add convit to non-std filters as vit_	4 years ago