Deep learning framework by BAIR
Created by
Yangqing Jia
Lead Developer
Evan Shelhamer
Power./include/caffe/layers/power_layer.hpp./src/caffe/layers/power_layer.cpp./src/caffe/layers/power_layer.cuThe Power layer computes the output as (shift + scale * x) ^ power for each input element x.
PowerParameter power_param)
power [default 1]scale [default 1]shift [default 0]./src/caffe/proto/caffe.proto:message PowerParameter {
// PowerLayer computes outputs y = (shift + scale * x) ^ power.
optional float power = 1 [default = 1.0];
optional float scale = 2 [default = 1.0];
optional float shift = 3 [default = 0.0];
} layer {
name: "layer"
bottom: "in"
top: "out"
type: "Power"
power_param {
power: 1
scale: 1
shift: 0
}
}