6 Commits (b1f1228a41dd9cac238dd7676c2bc6aa60940f02)

Author	SHA1	Message	Date
Ross Wightman	110a7c4982	AdaptiveAvgPool2d -> mean((2,3)) for all SE/attn layers to avoid NaN with AMP + channels_last layout. See https://github.com/pytorch/pytorch/issues/43992	4 years ago
Sepehr Sameni	20290b5b56	fix typo in eca	5 years ago
Ross Wightman	569419b38d	Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch	5 years ago
Ross Wightman	d725991870	Remove debug print from ECA module	5 years ago
Ross Wightman	f902bcd54c	Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases ... * select_conv2d -> create_conv2d * added create_attn to create attention module from string/bool/module * factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same * add some more test eca resnet variants * minor tweaks, naming, comments, consistency	5 years ago
Ross Wightman	4defbbbaa8	Fix module name mistake, start layers sub-package	5 years ago