8 Commits (ff21fdb41d310368ede8fa2ed293901a6b03da2c)

Author	SHA1	Message	Date
Ross Wightman	372ad5fa0d	Significant model refactor and additions: ... * All models updated with revised foward_features / forward_head interface * Vision transformer and MLP based models consistently output sequence from forward_features (pooling or token selection considered part of 'head') * WIP param grouping interface to allow consistent grouping of parameters for layer-wise decay across all model types * Add gradient checkpointing support to a significant % of models, especially popular architectures * Formatting and interface consistency improvements across models * layer-wise LR decay impl part of optimizer factory w/ scale support in scheduler * Poolformer and Volo architectures added	3 years ago
Ross Wightman	5f81d4de23	Move DeiT to own file, vit getting crowded. Working towards fixing #1029, make pooling interface for transformers and mlp closer to convnets. Still working through some details...	3 years ago
Ross Wightman	738a9cd635	unbiased=False for torch.var_mean path of ConvNeXt LN. Fix #1090	3 years ago
Ross Wightman	e0c4eec4b6	Default conv_mlp to False across the board for ConvNeXt, causing issues on more setups than it's improving right now...	3 years ago
Ross Wightman	b669f4a588	Add ConvNeXt 22k->1k fine-tuned and 384 22k-1k fine-tuned weights after testing	3 years ago
Ross Wightman	edd3d73695	Add missing dropout for head reset in ConvNeXt default head	3 years ago
Ross Wightman	b093dcb46d	Some convnext cleanup, remove in place mul_ for gamma, breaking symbolic trace, cleanup head a bit...	3 years ago
Ross Wightman	18934debc5	Add initial ConvNeXt impl (mods of official code)	3 years ago