waifu2x/appendix/caffe_prototxt/cunet.prototxt

layer {
  name: "input"
  type: "Input"
  top: "Input1"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 312
      dim: 312
    }
  }
}
layer {
  name: "Convolution1"
  type: "Convolution"
  bottom: "Input1"
  top: "Convolution1"
  convolution_param {
    num_output: 32
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU1"
  type: "ReLU"
  bottom: "Convolution1"
  top: "Convolution1"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution2"
  type: "Convolution"
  bottom: "Convolution1"
  top: "Convolution2"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU2"
  type: "ReLU"
  bottom: "Convolution2"
  top: "Convolution2"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution3"
  type: "Convolution"
  bottom: "Convolution2"
  top: "Convolution3"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ReLU3"
  type: "ReLU"
  bottom: "Convolution3"
  top: "Convolution3"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution4"
  type: "Convolution"
  bottom: "Convolution3"
  top: "Convolution4"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU4"
  type: "ReLU"
  bottom: "Convolution4"
  top: "Convolution4"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution5"
  type: "Convolution"
  bottom: "Convolution4"
  top: "Convolution5"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU5"
  type: "ReLU"
  bottom: "Convolution5"
  top: "Convolution5"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Pooling1"
  type: "Pooling"
  bottom: "Convolution5"
  top: "Pooling1"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "Convolution6"
  type: "Convolution"
  bottom: "Pooling1"
  top: "Convolution6"
  convolution_param {
    num_output: 8
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "ReLU6"
  type: "ReLU"
  bottom: "Convolution6"
  top: "Convolution6"
}
layer {
  name: "Convolution7"
  type: "Convolution"
  bottom: "Convolution6"
  top: "Convolution7"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "Sigmoid1"
  type: "Sigmoid"
  bottom: "Convolution7"
  top: "Convolution7"
}
layer {
  name: "Flatten1"
  type: "Flatten"
  bottom: "Convolution7"
  top: "Flatten1"
}
layer {
  name: "Scale1"
  type: "Scale"
  bottom: "Convolution5"
  bottom: "Flatten1"
  top: "Scale1"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "Deconvolution1"
  type: "Deconvolution"
  bottom: "Scale1"
  top: "Deconvolution1"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ReLU7"
  type: "ReLU"
  bottom: "Deconvolution1"
  top: "Deconvolution1"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Crop1"
  type: "Crop"
  bottom: "Convolution2"
  bottom: "Deconvolution1"
  top: "Crop1"
  crop_param {
    axis: 2
    offset: 4
  }
}
layer {
  name: "Eltwise1"
  type: "Eltwise"
  bottom: "Crop1"
  bottom: "Deconvolution1"
  top: "Eltwise1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution8"
  type: "Convolution"
  bottom: "Eltwise1"
  top: "Convolution8"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU8"
  type: "ReLU"
  bottom: "Convolution8"
  top: "Convolution8"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution9"
  type: "Convolution"
  bottom: "Convolution8"
  top: "Convolution9"
  convolution_param {
    num_output: 3
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "Convolution10"
  type: "Convolution"
  bottom: "Convolution9"
  top: "Convolution10"
  convolution_param {
    num_output: 32
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU9"
  type: "ReLU"
  bottom: "Convolution10"
  top: "Convolution10"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution11"
  type: "Convolution"
  bottom: "Convolution10"
  top: "Convolution11"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU10"
  type: "ReLU"
  bottom: "Convolution11"
  top: "Convolution11"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution12"
  type: "Convolution"
  bottom: "Convolution11"
  top: "Convolution12"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ReLU11"
  type: "ReLU"
  bottom: "Convolution12"
  top: "Convolution12"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution13"
  type: "Convolution"
  bottom: "Convolution12"
  top: "Convolution13"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU12"
  type: "ReLU"
  bottom: "Convolution13"
  top: "Convolution13"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution14"
  type: "Convolution"
  bottom: "Convolution13"
  top: "Convolution14"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU13"
  type: "ReLU"
  bottom: "Convolution14"
  top: "Convolution14"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Pooling2"
  type: "Pooling"
  bottom: "Convolution14"
  top: "Pooling2"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "Convolution15"
  type: "Convolution"
  bottom: "Pooling2"
  top: "Convolution15"
  convolution_param {
    num_output: 16
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "ReLU14"
  type: "ReLU"
  bottom: "Convolution15"
  top: "Convolution15"
}
layer {
  name: "Convolution16"
  type: "Convolution"
  bottom: "Convolution15"
  top: "Convolution16"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "Sigmoid2"
  type: "Sigmoid"
  bottom: "Convolution16"
  top: "Convolution16"
}
layer {
  name: "Flatten2"
  type: "Flatten"
  bottom: "Convolution16"
  top: "Flatten2"
}
layer {
  name: "Scale2"
  type: "Scale"
  bottom: "Convolution14"
  bottom: "Flatten2"
  top: "Scale2"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "Convolution17"
  type: "Convolution"
  bottom: "Scale2"
  top: "Convolution17"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ReLU15"
  type: "ReLU"
  bottom: "Convolution17"
  top: "Convolution17"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution18"
  type: "Convolution"
  bottom: "Convolution17"
  top: "Convolution18"
  convolution_param {
    num_output: 256
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU16"
  type: "ReLU"
  bottom: "Convolution18"
  top: "Convolution18"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution19"
  type: "Convolution"
  bottom: "Convolution18"
  top: "Convolution19"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU17"
  type: "ReLU"
  bottom: "Convolution19"
  top: "Convolution19"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Pooling3"
  type: "Pooling"
  bottom: "Convolution19"
  top: "Pooling3"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "Convolution20"
  type: "Convolution"
  bottom: "Pooling3"
  top: "Convolution20"
  convolution_param {
    num_output: 16
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "ReLU18"
  type: "ReLU"
  bottom: "Convolution20"
  top: "Convolution20"
}
layer {
  name: "Convolution21"
  type: "Convolution"
  bottom: "Convolution20"
  top: "Convolution21"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "Sigmoid3"
  type: "Sigmoid"
  bottom: "Convolution21"
  top: "Convolution21"
}
layer {
  name: "Flatten3"
  type: "Flatten"
  bottom: "Convolution21"
  top: "Flatten3"
}
layer {
  name: "Scale3"
  type: "Scale"
  bottom: "Convolution19"
  bottom: "Flatten3"
  top: "Scale3"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "Deconvolution2"
  type: "Deconvolution"
  bottom: "Scale3"
  top: "Deconvolution2"
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ReLU19"
  type: "ReLU"
  bottom: "Deconvolution2"
  top: "Deconvolution2"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Crop2"
  type: "Crop"
  bottom: "Scale2"
  bottom: "Deconvolution2"
  top: "Crop2"
  crop_param {
    axis: 2
    offset: 4
  }
}
layer {
  name: "Eltwise2"
  type: "Eltwise"
  bottom: "Crop2"
  bottom: "Deconvolution2"
  top: "Eltwise2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution22"
  type: "Convolution"
  bottom: "Eltwise2"
  top: "Convolution22"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU20"
  type: "ReLU"
  bottom: "Convolution22"
  top: "Convolution22"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution23"
  type: "Convolution"
  bottom: "Convolution22"
  top: "Convolution23"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU21"
  type: "ReLU"
  bottom: "Convolution23"
  top: "Convolution23"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Pooling4"
  type: "Pooling"
  bottom: "Convolution23"
  top: "Pooling4"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "Convolution24"
  type: "Convolution"
  bottom: "Pooling4"
  top: "Convolution24"
  convolution_param {
    num_output: 8
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "ReLU22"
  type: "ReLU"
  bottom: "Convolution24"
  top: "Convolution24"
}
layer {
  name: "Convolution25"
  type: "Convolution"
  bottom: "Convolution24"
  top: "Convolution25"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "Sigmoid4"
  type: "Sigmoid"
  bottom: "Convolution25"
  top: "Convolution25"
}
layer {
  name: "Flatten4"
  type: "Flatten"
  bottom: "Convolution25"
  top: "Flatten4"
}
layer {
  name: "Scale4"
  type: "Scale"
  bottom: "Convolution23"
  bottom: "Flatten4"
  top: "Scale4"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "Deconvolution3"
  type: "Deconvolution"
  bottom: "Scale4"
  top: "Deconvolution3"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ReLU23"
  type: "ReLU"
  bottom: "Deconvolution3"
  top: "Deconvolution3"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Crop3"
  type: "Crop"
  bottom: "Convolution11"
  bottom: "Deconvolution3"
  top: "Crop3"
  crop_param {
    axis: 2
    offset: 16
  }
}
layer {
  name: "Eltwise3"
  type: "Eltwise"
  bottom: "Crop3"
  bottom: "Deconvolution3"
  top: "Eltwise3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution26"
  type: "Convolution"
  bottom: "Eltwise3"
  top: "Convolution26"
  convolution_param {
    num_output: 64
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "ReLU24"
  type: "ReLU"
  bottom: "Convolution26"
  top: "Convolution26"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution27"
  type: "Convolution"
  bottom: "Convolution26"
  top: "Convolution27"
  convolution_param {
    num_output: 3
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "Crop4"
  type: "Crop"
  bottom: "Convolution9"
  bottom: "Convolution27"
  top: "Crop4"
  crop_param {
    axis: 2
    offset: 20
  }
}
layer {
  name: "Eltwise4"
  type: "Eltwise"
  bottom: "Crop4"
  bottom: "Convolution27"
  top: "Eltwise4"
  eltwise_param {
    operation: SUM
  }
}