92 Commits (79bf4f163f956252a84b6098fa06a81f0f11deff)

Author	SHA1	Message	Date
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.	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
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
Aman Arora	1633317489	update tests and exclude convit_base	4 years ago
李鑫杰	d046498e0b	update test_models.py	4 years ago
Ross Wightman	6d81374b88	Update tests for new mlp models	4 years ago
Ross Wightman	ecc7552c5c	Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.	4 years ago
Ross Wightman	d45e50b9db	Update test for cait 448x448 model	4 years ago
Ross Wightman	5fcddb96a8	Merge branch 'master' into cait	4 years ago
Ross Wightman	2d8b09fe8b	Add official pretrained weights to MLP-Mixer, complete model cfgs.	4 years ago
Ross Wightman	1daa15ecc3	Initial Cait commit. Still some cleanup to do.	4 years ago
Ross Wightman	67d0665b46	Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.	4 years ago
Aman Arora	560eae38f5	[WIP] Add ResNet-RS models (#554) ... * Add ResNet-RS models * Only include resnet-rs changes * remove whitespace diff * EOF newline * Update time * increase time * Add first conv * Try running only resnetv2_101x1_bitm on Linux runner * Add to exclude filter * Run test_model_forward_features for all * Add to exclude ftrs * back to defaults * only run test_forward_features * run all tests * Run all tests * Add bigger resnetrs to model filters to fix Github CLI * Remove resnetv2_101x1_bitm from exclude feat features * Remove hardcoded values * Make sure reduction ratio in resnetrs is 0.25 * There is no bias in replaced maxpool so remove it	4 years ago