9 Commits (fixes_bce_regnet)

Author	SHA1	Message	Date
Ross Wightman	515121cca1	Use reshape instead of view in std_conv, causing issues in recent PyTorch in channels_last	4 years ago
Ross Wightman	8319e0c373	Add file docstring to std_conv.py	4 years ago
Ross Wightman	ba2ca4b464	One codepath for stdconv, switch layernorm to batchnorm so gain included. Tweak epsilon values for nfnet, resnetv2, vit hybrid.	4 years ago
Ross Wightman	8e4ac3549f	All ScaledStdConv and StdConv uses default to using F.layernorm so that they work with PyTorch XLA. eps value tweaking is a WIP.	4 years ago
Ross Wightman	740f32c96a	Add ECA-NFNet-L0 weights and update model name. Update README and bump version to 0.4.6	4 years ago
Ross Wightman	8563609b28	Update notes in ScaledStdConv impl	4 years ago
Ross Wightman	678ba4e0a2	Add NFNet-F model weights ported from DeepMind Haiku impl and new set of models w/ compatible config.	4 years ago
Ross Wightman	90980de4a9	Fix up a few details in NFResNet models, managed stable training. Add support for gamma gain to be applied in activation or ScaleStdConv. Some tweaks to ScaledStdConv.	4 years ago
Ross Wightman	5a8e1e643e	Initial Normalizer-Free Reg/ResNet impl. A bit of related layer refactoring.	4 years ago