route layer net.

net.prototxt

name: "Route Layer"
layer {
    name: "data"
    type: "Input"
    top: "data"
    input_param { shape : { dim : 1 dim : 1 dim : 1}}
}

layer {
    name: "selector"
    type: "Input"
    top: "selector"
    input_param { shape : { dim : 1 dim : 1 dim : 1}}
}

layer {
    name: "output"
    type: "Input"
    top: "output"
    input_param {shape : { dim : 1 dim : 1 dim : 1}}
}

layer {
    name: "route-output"
    type: "Route"
    bottom: "output"
    bottom: "selector"
    top: "output-r1"
    top: "output-r2"
}

layer {
    name: "conv-1"
    type: "Convolution"
    top: "conv-1"
    bottom: "data"
    param { lr_mult: 1 }
    param { lr_mult: 2 }
    convolution_param {
        num_output: 1
        kernel_size: 1
        stride: 1
        weight_filler {
            type: "constant"
            value: 0.25 
        }
        bias_filler {
            type: "constant"
            value: 0.5
        }
    }
}
layer {
    name: "sigm"
    type: "Sigmoid"
    bottom: "conv-1"
    top: "conv-1"
}

layer {
    name: "route"
    type: "Route"
    bottom: "conv-1"
    bottom: "selector"
    top: "route-1"
    top: "route-2"
}

layer {
    name: "conv-2-r1"
    type: "Convolution"
    bottom: "route-1"
    top: "conv-2-r1"
    convolution_param {
        num_output: 1
        kernel_size: 1
        stride: 1
        weight_filler {
            type: "constant"
            value: 0.15
        }
        bias_filler {
            type: "constant"
            value: 0
        }
    }   
    param { lr_mult: 1 }
    param { lr_mult: 2 }
}

layer {
    name: "conv-2-r2"
    type: "Convolution"
    bottom: "route-2"
    top: "conv-2-r2"
    convolution_param {
        num_output: 1
        kernel_size: 1
        stride: 1
        weight_filler {
            type: "constant"
            value: 0.10
        }
        bias_filler {
            type: "constant"
            value: 0
        }
    }
    param { lr_mult: 1 }
    param { lr_mult: 2 }
}
    

layer {
    name: "loss-1"
    type: "EuclideanLoss"
    top: "loss-1"
    bottom: "conv-2-r1"
    bottom: "output-r1"
}
    
layer {
    name: "loss-2"
    type: "EuclideanLoss"
    top: "loss-2"
    bottom: "conv-2-r2"
    bottom: "output-r2"
}