pytorch-image-models

Author	SHA1	Message	Date
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	715519a5ef	Rethink name of patch embed grid info	4 years ago
Ross Wightman	b2c305c2aa	Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...	4 years ago
Ross Wightman	e5e15754c9	Fix coat first conv ident	4 years ago
Ross Wightman	76739a7589	CoaT merge. Bit of formatting, fix torchscript (for non features), remove einops/einsum dep, add pretrained weight hub (url) support.	4 years ago
morizin	c2d5087eae	Add files via upload	4 years ago