waifu2x/appendix/caffe_prototxt/resnet_14l.prototxt

name: "resnet_14l"
layer {
  name: "input"
  type: "Input"
  top: "input"
  input_param { shape: { dim: 1 dim: 3 dim: 156 dim: 156 } }
}
layer {
  name: "Convolution1"
  type: "Convolution"
  bottom: "input"
  top: "Convolution1"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
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
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
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
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU3"
  type: "ReLU"
  bottom: "Convolution3"
  top: "Convolution3"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution4"
  type: "Convolution"
  bottom: "Convolution1"
  top: "Convolution4"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "Crop1"
  type: "Crop"
  bottom: "Convolution4"
  bottom: "Convolution3"
  top: "Crop1"
  crop_param {
    axis: 2
    offset: 2
    offset: 2
  }
}
layer {
  name: "Eltwise1"
  type: "Eltwise"
  bottom: "Convolution3"
  bottom: "Crop1"
  top: "Eltwise1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution5"
  type: "Convolution"
  bottom: "Eltwise1"
  top: "Convolution5"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU4"
  type: "ReLU"
  bottom: "Convolution5"
  top: "Convolution5"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution6"
  type: "Convolution"
  bottom: "Convolution5"
  top: "Convolution6"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU5"
  type: "ReLU"
  bottom: "Convolution6"
  top: "Convolution6"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Crop2"
  type: "Crop"
  bottom: "Eltwise1"
  bottom: "Convolution6"
  top: "Crop2"
  crop_param {
    axis: 2
    offset: 2
    offset: 2
  }
}
layer {
  name: "Eltwise2"
  type: "Eltwise"
  bottom: "Convolution6"
  bottom: "Crop2"
  top: "Eltwise2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution7"
  type: "Convolution"
  bottom: "Eltwise2"
  top: "Convolution7"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU6"
  type: "ReLU"
  bottom: "Convolution7"
  top: "Convolution7"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution8"
  type: "Convolution"
  bottom: "Convolution7"
  top: "Convolution8"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU7"
  type: "ReLU"
  bottom: "Convolution8"
  top: "Convolution8"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution9"
  type: "Convolution"
  bottom: "Eltwise2"
  top: "Convolution9"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "Crop3"
  type: "Crop"
  bottom: "Convolution9"
  bottom: "Convolution8"
  top: "Crop3"
  crop_param {
    axis: 2
    offset: 2
    offset: 2
  }
}
layer {
  name: "Eltwise3"
  type: "Eltwise"
  bottom: "Convolution8"
  bottom: "Crop3"
  top: "Eltwise3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution10"
  type: "Convolution"
  bottom: "Eltwise3"
  top: "Convolution10"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU8"
  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: 128
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU9"
  type: "ReLU"
  bottom: "Convolution11"
  top: "Convolution11"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Crop4"
  type: "Crop"
  bottom: "Eltwise3"
  bottom: "Convolution11"
  top: "Crop4"
  crop_param {
    axis: 2
    offset: 2
    offset: 2
  }
}
layer {
  name: "Eltwise4"
  type: "Eltwise"
  bottom: "Convolution11"
  bottom: "Crop4"
  top: "Eltwise4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution12"
  type: "Convolution"
  bottom: "Eltwise4"
  top: "Convolution12"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU10"
  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: 256
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU11"
  type: "ReLU"
  bottom: "Convolution13"
  top: "Convolution13"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution14"
  type: "Convolution"
  bottom: "Eltwise4"
  top: "Convolution14"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "Crop5"
  type: "Crop"
  bottom: "Convolution14"
  bottom: "Convolution13"
  top: "Crop5"
  crop_param {
    axis: 2
    offset: 2
    offset: 2
  }
}
layer {
  name: "Eltwise5"
  type: "Eltwise"
  bottom: "Convolution13"
  bottom: "Crop5"
  top: "Eltwise5"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution15"
  type: "Convolution"
  bottom: "Eltwise5"
  top: "Convolution15"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU12"
  type: "ReLU"
  bottom: "Convolution15"
  top: "Convolution15"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Convolution16"
  type: "Convolution"
  bottom: "Convolution15"
  top: "Convolution16"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU13"
  type: "ReLU"
  bottom: "Convolution16"
  top: "Convolution16"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "Crop6"
  type: "Crop"
  bottom: "Eltwise5"
  bottom: "Convolution16"
  top: "Crop6"
  crop_param {
    axis: 2
    offset: 2
    offset: 2
  }
}
layer {
  name: "Eltwise6"
  type: "Eltwise"
  bottom: "Convolution16"
  bottom: "Crop6"
  top: "Eltwise6"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Deconvolution1"
  type: "Deconvolution"
  bottom: "Eltwise6"
  top: "Deconvolution1"
  convolution_param {
    num_output: 3
    pad: 3
    kernel_size: 4
    stride: 2
  }
}