7 Commits (8319e0c37357e162f0e870c08621f145a8e76830)

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	742c2d5247	Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.	2021-05-27 18:03:29 -07:00
Ross Wightman	5db7452173	Fix visformer in_chans stem handling	2021-05-25 14:11:36 -07:00
Ross Wightman	c4572cc5aa	Add Visformer-small weighs, tweak torchscript jit test img size.	2021-05-24 22:50:12 -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	94d4b53352	Add temporary default_cfgs to visformer models so they pass tests	2021-05-15 08:41:31 -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