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	80c9d9cc72	Add 'fast' global pool option, remove redundant SEModule from tresnet, normal one is now 'fast'	5 years ago
Ross Wightman	b1f1a54de9	More uniform treatment of classifiers across all models, reduce code duplication.	5 years ago
Ross Wightman	6c17d57a2c	Fix some attributions, add copyrights to some file docstrings	5 years ago
Ross Wightman	0004f37d25	Some TResNet cleanup. * allow use of global pool arg, test-time-pooling * clean checkpoints to just contain state dict, add 448 res checkpoints * support DataParallel via lazy filter creation for JIT Downsample * some minor formatting (mostly alignment) preferences	5 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	5 years ago