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.cu
The 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
}
}