11 Commits (ccfeb06936549f19c453b7f1f27e8e632cfbe1c2)

Author	SHA1	Message	Date
Ross Wightman	c21b21660d	visformer supports spatial feat map, update pool_size in pretrained cfg to match	3 years ago
KAI ZHAO	b4b8d1ec18	fix hard-coded strides	3 years ago
Ross Wightman	f658a72e72	Cleanup re-use of Dropout modules in Mlp modules after some twitter feedback :p	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	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	742c2d5247	Add Gather-Excite and Global Context attn modules. Refactor existing SE-like attn for consistency and refactor byob/byoanet for less redundancy.	3 years ago
Ross Wightman	5db7452173	Fix visformer in_chans stem handling	3 years ago
Ross Wightman	c4572cc5aa	Add Visformer-small weighs, tweak torchscript jit test img size.	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.	3 years ago
Ross Wightman	94d4b53352	Add temporary default_cfgs to visformer models so they pass tests	3 years ago
Ross Wightman	ecc7552c5c	Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.	3 years ago