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	4 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.	4 years ago
Ross Wightman	d5af752117	Add preliminary gMLP and ResMLP impl to Mlp-Mixer	4 years ago
Ross Wightman	b2c305c2aa	Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...	4 years ago