5 Commits (cleanup_xla_model_fixes)

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	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	f606c45c38	Add Swin Transformer models from https://github.com/microsoft/Swin-Transformer	4 years ago
Ross Wightman	7953e5d11a	Fix pos_embed scaling for ViT and num_classes != 1000 for pretrained distilled deit and pit models. Fix #426 and fix #433	4 years ago
Ross Wightman	0dfc5a66bb	Add PiT model from https://github.com/naver-ai/pit	4 years ago