6 Commits (ead80d33c59ca18acaaa594159ca28b6116e9acb)

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	2020-09-01 16:05:32 -07:00
Sepehr Sameni	20290b5b56	fix typo in eca	2020-04-14 15:20:35 +04:30
Ross Wightman	569419b38d	Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch	2020-02-15 21:18:25 -08:00
Ross Wightman	d725991870	Remove debug print from ECA module	2020-02-10 16:21:33 -08:00
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	2020-02-10 11:55:03 -08:00
Ross Wightman	4defbbbaa8	Fix module name mistake, start layers sub-package	2020-02-09 12:44:26 -08:00