5 Commits (a16a7538529e8f0e196257a708852ab9ea6ff997)

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	3 years ago
Ross Wightman	231d04e91a	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	4 years ago
Ross Wightman	460eba7f24	Work around casting issue with combination of native torch AMP and torchscript for Linear layers	4 years ago
Ross Wightman	b1f1a54de9	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
Ross Wightman	3b9004bef9	Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces	4 years ago