12 Commits (d0c5bd57223c3f1da58219f497fe48d478f873da)

Author	SHA1	Message	Date
Ross Wightman	0862e6ebae	Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet	3 years ago
Ross Wightman	372ad5fa0d	Significant model refactor and additions: ... * All models updated with revised foward_features / forward_head interface * Vision transformer and MLP based models consistently output sequence from forward_features (pooling or token selection considered part of 'head') * WIP param grouping interface to allow consistent grouping of parameters for layer-wise decay across all model types * Add gradient checkpointing support to a significant % of models, especially popular architectures * Formatting and interface consistency improvements across models * layer-wise LR decay impl part of optimizer factory w/ scale support in scheduler * Poolformer and Volo architectures added	3 years ago
Ross Wightman	5f81d4de23	Move DeiT to own file, vit getting crowded. Working towards fixing #1029, make pooling interface for transformers and mlp closer to convnets. Still working through some details...	3 years ago
Ross Wightman	abc9ba2544	Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks.	3 years ago
Alexander Soare	65d827c7a6	rename notrace registration and standardize trace_utils imports	3 years ago
Alexander Soare	b25ff96768	wip - pre-rebase	3 years ago
Alexander Soare	bc3d4eb403	wip -rebase	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	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	a569635045	Update twin weights to a copy in GitHub releases for faster dl. Tweak model class comment.	4 years ago
Ross Wightman	be99eef9c1	Remove redundant code, cleanup, fix torchscript.	4 years ago
李鑫杰	00548b8427	Add Twins	4 years ago