Cleanup, XLA model compat for ResNetV2-BiT / NFNet, ECA-NFNet-L2 #702
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…at they work with PyTorch XLA. eps value tweaking is a WIP.
…ded. Tweak epsilon values for nfnet, resnetv2, vit hybrid.
* 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
rwightman changed the title …embed rescale for npz load.
…is patient and consistent' paper.
guoriyue pushed a commit to guoriyue/pytorch-image-models that referenced this pull request May 24, 2024
…ixes AugReg Vision Transformers, XLA model compat for ResNetV2-BiT / NFNet, ECA-NFNet-L2, GMixer-24 weights, ResMLP official weights, and cleanup
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