pytorch-image-models

Author	SHA1	Message	Date
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	2021-06-12 16:40:02 -07:00
Ross Wightman	9c78de8c02	Fix #661 , move hardswish out of default args for LeViT. Enable native torch support for hardswish, hardsigmoid, mish if present.	2021-05-26 15:28:42 -07:00
Ross Wightman	11ae795e99	Redo LeViT attention bias caching in a way that works with both torchscript and DataParallel	2021-05-25 10:15:32 -07:00
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.	2021-05-24 21:13:26 -07:00
Ross Wightman	ecc7552c5c	Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.	2021-05-14 17:16:34 -07:00