layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 1 dim: 3 dim: 192 dim: 192 } }
}
layer {
  name: "data2"
  type: "Input"
  top: "data1"
  input_param { shape: { dim: 1 dim: 21 dim: 24 dim: 24 } }
}
layer {
  name: "data3"
  type: "Input"
  top: "data2"
  input_param { shape: { dim: 1 dim: 21 dim: 24 dim: 24 } }
}
layer {
  name: "Convolution1"
  type: "Convolution"
  bottom: "data"
  top: "Convolution1"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 3
    kernel_size: 7
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm1"
  type: "BatchNorm"
  bottom: "Convolution1"
  top: "Convolution1"
}
layer {
  name: "Scale1"
  type: "Scale"
  bottom: "Convolution1"
  top: "Convolution1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU1"
  type: "ReLU"
  bottom: "Convolution1"
  top: "Convolution1"
}
layer {
  name: "Convolution2"
  type: "Convolution"
  bottom: "Convolution1"
  top: "Convolution2"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm2"
  type: "BatchNorm"
  bottom: "Convolution2"
  top: "Convolution2"
}
layer {
  name: "Scale2"
  type: "Scale"
  bottom: "Convolution2"
  top: "Convolution2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU2"
  type: "ReLU"
  bottom: "Convolution2"
  top: "Convolution2"
}
layer {
  name: "Convolution3"
  type: "Convolution"
  bottom: "Convolution2"
  top: "Convolution3"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm3"
  type: "BatchNorm"
  bottom: "Convolution3"
  top: "Convolution3"
}
layer {
  name: "Scale3"
  type: "Scale"
  bottom: "Convolution3"
  top: "Convolution3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU3"
  type: "ReLU"
  bottom: "Convolution3"
  top: "Convolution3"
}
layer {
  name: "Concat1"
  type: "Concat"
  bottom: "Convolution3"
  bottom: "data1"
  top: "Concat1"
}
layer {
  name: "Convolution4"
  type: "Convolution"
  bottom: "Concat1"
  top: "Convolution4"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm4"
  type: "BatchNorm"
  bottom: "Convolution4"
  top: "Convolution4"
}
layer {
  name: "Scale4"
  type: "Scale"
  bottom: "Convolution4"
  top: "Convolution4"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU4"
  type: "ReLU"
  bottom: "Convolution4"
  top: "Convolution4"
}
layer {
  name: "Convolution5"
  type: "Convolution"
  bottom: "Convolution4"
  top: "Convolution5"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm5"
  type: "BatchNorm"
  bottom: "Convolution5"
  top: "Convolution5"
}
layer {
  name: "Scale5"
  type: "Scale"
  bottom: "Convolution5"
  top: "Convolution5"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU5"
  type: "ReLU"
  bottom: "Convolution5"
  top: "Convolution5"
}
layer {
  name: "Convolution6"
  type: "Convolution"
  bottom: "Convolution5"
  top: "Convolution6"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm6"
  type: "BatchNorm"
  bottom: "Convolution6"
  top: "Convolution6"
}
layer {
  name: "Scale6"
  type: "Scale"
  bottom: "Convolution6"
  top: "Convolution6"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU6"
  type: "ReLU"
  bottom: "Convolution6"
  top: "Convolution6"
}
layer {
  name: "Convolution7"
  type: "Convolution"
  bottom: "Convolution6"
  top: "Convolution7"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm7"
  type: "BatchNorm"
  bottom: "Convolution7"
  top: "Convolution7"
}
layer {
  name: "Scale7"
  type: "Scale"
  bottom: "Convolution7"
  top: "Convolution7"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution8"
  type: "Convolution"
  bottom: "Convolution4"
  top: "Convolution8"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm8"
  type: "BatchNorm"
  bottom: "Convolution8"
  top: "Convolution8"
}
layer {
  name: "Scale8"
  type: "Scale"
  bottom: "Convolution8"
  top: "Convolution8"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU7"
  type: "ReLU"
  bottom: "Convolution8"
  top: "Convolution8"
}
layer {
  name: "Convolution9"
  type: "Convolution"
  bottom: "Convolution8"
  top: "Convolution9"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm9"
  type: "BatchNorm"
  bottom: "Convolution9"
  top: "Convolution9"
}
layer {
  name: "Scale9"
  type: "Scale"
  bottom: "Convolution9"
  top: "Convolution9"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU8"
  type: "ReLU"
  bottom: "Convolution9"
  top: "Convolution9"
}
layer {
  name: "Convolution10"
  type: "Convolution"
  bottom: "Convolution9"
  top: "Convolution10"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm10"
  type: "BatchNorm"
  bottom: "Convolution10"
  top: "Convolution10"
}
layer {
  name: "Scale10"
  type: "Scale"
  bottom: "Convolution10"
  top: "Convolution10"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU9"
  type: "ReLU"
  bottom: "Convolution10"
  top: "Convolution10"
}
layer {
  name: "Convolution11"
  type: "Convolution"
  bottom: "Convolution10"
  top: "Convolution11"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm11"
  type: "BatchNorm"
  bottom: "Convolution11"
  top: "Convolution11"
}
layer {
  name: "Scale11"
  type: "Scale"
  bottom: "Convolution11"
  top: "Convolution11"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution12"
  type: "Convolution"
  bottom: "Convolution8"
  top: "Convolution12"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm12"
  type: "BatchNorm"
  bottom: "Convolution12"
  top: "Convolution12"
}
layer {
  name: "Scale12"
  type: "Scale"
  bottom: "Convolution12"
  top: "Convolution12"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU10"
  type: "ReLU"
  bottom: "Convolution12"
  top: "Convolution12"
}
layer {
  name: "Convolution13"
  type: "Convolution"
  bottom: "Convolution12"
  top: "Convolution13"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm13"
  type: "BatchNorm"
  bottom: "Convolution13"
  top: "Convolution13"
}
layer {
  name: "Scale13"
  type: "Scale"
  bottom: "Convolution13"
  top: "Convolution13"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU11"
  type: "ReLU"
  bottom: "Convolution13"
  top: "Convolution13"
}
layer {
  name: "Convolution14"
  type: "Convolution"
  bottom: "Convolution13"
  top: "Convolution14"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm14"
  type: "BatchNorm"
  bottom: "Convolution14"
  top: "Convolution14"
}
layer {
  name: "Scale14"
  type: "Scale"
  bottom: "Convolution14"
  top: "Convolution14"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU12"
  type: "ReLU"
  bottom: "Convolution14"
  top: "Convolution14"
}
layer {
  name: "Convolution15"
  type: "Convolution"
  bottom: "Convolution14"
  top: "Convolution15"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm15"
  type: "BatchNorm"
  bottom: "Convolution15"
  top: "Convolution15"
}
layer {
  name: "Scale15"
  type: "Scale"
  bottom: "Convolution15"
  top: "Convolution15"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution16"
  type: "Convolution"
  bottom: "Convolution12"
  top: "Convolution16"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm16"
  type: "BatchNorm"
  bottom: "Convolution16"
  top: "Convolution16"
}
layer {
  name: "Scale16"
  type: "Scale"
  bottom: "Convolution16"
  top: "Convolution16"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU13"
  type: "ReLU"
  bottom: "Convolution16"
  top: "Convolution16"
}
layer {
  name: "Convolution17"
  type: "Convolution"
  bottom: "Convolution16"
  top: "Convolution17"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm17"
  type: "BatchNorm"
  bottom: "Convolution17"
  top: "Convolution17"
}
layer {
  name: "Scale17"
  type: "Scale"
  bottom: "Convolution17"
  top: "Convolution17"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU14"
  type: "ReLU"
  bottom: "Convolution17"
  top: "Convolution17"
}
layer {
  name: "Convolution18"
  type: "Convolution"
  bottom: "Convolution17"
  top: "Convolution18"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm18"
  type: "BatchNorm"
  bottom: "Convolution18"
  top: "Convolution18"
}
layer {
  name: "Scale18"
  type: "Scale"
  bottom: "Convolution18"
  top: "Convolution18"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU15"
  type: "ReLU"
  bottom: "Convolution18"
  top: "Convolution18"
}
layer {
  name: "Deconvolution1"
  type: "Deconvolution"
  bottom: "Convolution18"
  top: "Deconvolution1"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 2
    group: 1
    stride: 2
  }
}
layer {
  name: "Convolution19"
  type: "Convolution"
  bottom: "Deconvolution1"
  top: "Convolution19"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm19"
  type: "BatchNorm"
  bottom: "Convolution19"
  top: "Convolution19"
}
layer {
  name: "Scale19"
  type: "Scale"
  bottom: "Convolution19"
  top: "Convolution19"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Eltwise1"
  type: "Eltwise"
  bottom: "Convolution15"
  bottom: "Convolution19"
  top: "Eltwise1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU16"
  type: "ReLU"
  bottom: "Eltwise1"
  top: "Eltwise1"
}
layer {
  name: "Convolution20"
  type: "Convolution"
  bottom: "Eltwise1"
  top: "Convolution20"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm20"
  type: "BatchNorm"
  bottom: "Convolution20"
  top: "Convolution20"
}
layer {
  name: "Scale20"
  type: "Scale"
  bottom: "Convolution20"
  top: "Convolution20"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU17"
  type: "ReLU"
  bottom: "Convolution20"
  top: "Convolution20"
}
layer {
  name: "Deconvolution2"
  type: "Deconvolution"
  bottom: "Convolution20"
  top: "Deconvolution2"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 2
    group: 1
    stride: 2
  }
}
layer {
  name: "Convolution21"
  type: "Convolution"
  bottom: "Deconvolution2"
  top: "Convolution21"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm21"
  type: "BatchNorm"
  bottom: "Convolution21"
  top: "Convolution21"
}
layer {
  name: "Scale21"
  type: "Scale"
  bottom: "Convolution21"
  top: "Convolution21"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Eltwise2"
  type: "Eltwise"
  bottom: "Convolution11"
  bottom: "Convolution21"
  top: "Eltwise2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU18"
  type: "ReLU"
  bottom: "Eltwise2"
  top: "Eltwise2"
}
layer {
  name: "Convolution22"
  type: "Convolution"
  bottom: "Eltwise2"
  top: "Convolution22"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm22"
  type: "BatchNorm"
  bottom: "Convolution22"
  top: "Convolution22"
}
layer {
  name: "Scale22"
  type: "Scale"
  bottom: "Convolution22"
  top: "Convolution22"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU19"
  type: "ReLU"
  bottom: "Convolution22"
  top: "Convolution22"
}
layer {
  name: "Deconvolution3"
  type: "Deconvolution"
  bottom: "Convolution22"
  top: "Deconvolution3"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 2
    group: 1
    stride: 2
  }
}
layer {
  name: "Convolution23"
  type: "Convolution"
  bottom: "Deconvolution3"
  top: "Convolution23"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm23"
  type: "BatchNorm"
  bottom: "Convolution23"
  top: "Convolution23"
}
layer {
  name: "Scale23"
  type: "Scale"
  bottom: "Convolution23"
  top: "Convolution23"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Eltwise3"
  type: "Eltwise"
  bottom: "Convolution7"
  bottom: "Convolution23"
  top: "Eltwise3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU20"
  type: "ReLU"
  bottom: "Eltwise3"
  top: "Eltwise3"
}
layer {
  name: "Convolution24"
  type: "Convolution"
  bottom: "Eltwise3"
  top: "Convolution24"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm24"
  type: "BatchNorm"
  bottom: "Convolution24"
  top: "Convolution24"
}
layer {
  name: "Scale24"
  type: "Scale"
  bottom: "Convolution24"
  top: "Convolution24"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU21"
  type: "ReLU"
  bottom: "Convolution24"
  top: "Convolution24"
}
layer {
  name: "Convolution25"
  type: "Convolution"
  bottom: "Convolution24"
  top: "Convolution25"
  convolution_param {
    num_output: 21
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "output1"
  type: "Sigmoid"
  bottom: "Convolution25"
  top: "output1"
}
layer {
  name: "Concat2"
  type: "Concat"
  bottom: "Convolution24"
  bottom: "data2"
  top: "Concat2"
}
layer {
  name: "Convolution26"
  type: "Convolution"
  bottom: "Concat2"
  top: "Convolution26"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm25"
  type: "BatchNorm"
  bottom: "Convolution26"
  top: "Convolution26"
}
layer {
  name: "Scale25"
  type: "Scale"
  bottom: "Convolution26"
  top: "Convolution26"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU22"
  type: "ReLU"
  bottom: "Convolution26"
  top: "Convolution26"
}
layer {
  name: "Convolution27"
  type: "Convolution"
  bottom: "Convolution26"
  top: "Convolution27"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm26"
  type: "BatchNorm"
  bottom: "Convolution27"
  top: "Convolution27"
}
layer {
  name: "Scale26"
  type: "Scale"
  bottom: "Convolution27"
  top: "Convolution27"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU23"
  type: "ReLU"
  bottom: "Convolution27"
  top: "Convolution27"
}
layer {
  name: "Convolution28"
  type: "Convolution"
  bottom: "Convolution27"
  top: "Convolution28"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm27"
  type: "BatchNorm"
  bottom: "Convolution28"
  top: "Convolution28"
}
layer {
  name: "Scale27"
  type: "Scale"
  bottom: "Convolution28"
  top: "Convolution28"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU24"
  type: "ReLU"
  bottom: "Convolution28"
  top: "Convolution28"
}
layer {
  name: "Convolution29"
  type: "Convolution"
  bottom: "Convolution28"
  top: "Convolution29"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm28"
  type: "BatchNorm"
  bottom: "Convolution29"
  top: "Convolution29"
}
layer {
  name: "Scale28"
  type: "Scale"
  bottom: "Convolution29"
  top: "Convolution29"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution30"
  type: "Convolution"
  bottom: "Convolution26"
  top: "Convolution30"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm29"
  type: "BatchNorm"
  bottom: "Convolution30"
  top: "Convolution30"
}
layer {
  name: "Scale29"
  type: "Scale"
  bottom: "Convolution30"
  top: "Convolution30"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU25"
  type: "ReLU"
  bottom: "Convolution30"
  top: "Convolution30"
}
layer {
  name: "Convolution31"
  type: "Convolution"
  bottom: "Convolution30"
  top: "Convolution31"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm30"
  type: "BatchNorm"
  bottom: "Convolution31"
  top: "Convolution31"
}
layer {
  name: "Scale30"
  type: "Scale"
  bottom: "Convolution31"
  top: "Convolution31"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU26"
  type: "ReLU"
  bottom: "Convolution31"
  top: "Convolution31"
}
layer {
  name: "Convolution32"
  type: "Convolution"
  bottom: "Convolution31"
  top: "Convolution32"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm31"
  type: "BatchNorm"
  bottom: "Convolution32"
  top: "Convolution32"
}
layer {
  name: "Scale31"
  type: "Scale"
  bottom: "Convolution32"
  top: "Convolution32"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU27"
  type: "ReLU"
  bottom: "Convolution32"
  top: "Convolution32"
}
layer {
  name: "Convolution33"
  type: "Convolution"
  bottom: "Convolution32"
  top: "Convolution33"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm32"
  type: "BatchNorm"
  bottom: "Convolution33"
  top: "Convolution33"
}
layer {
  name: "Scale32"
  type: "Scale"
  bottom: "Convolution33"
  top: "Convolution33"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution34"
  type: "Convolution"
  bottom: "Convolution30"
  top: "Convolution34"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm33"
  type: "BatchNorm"
  bottom: "Convolution34"
  top: "Convolution34"
}
layer {
  name: "Scale33"
  type: "Scale"
  bottom: "Convolution34"
  top: "Convolution34"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU28"
  type: "ReLU"
  bottom: "Convolution34"
  top: "Convolution34"
}
layer {
  name: "Convolution35"
  type: "Convolution"
  bottom: "Convolution34"
  top: "Convolution35"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm34"
  type: "BatchNorm"
  bottom: "Convolution35"
  top: "Convolution35"
}
layer {
  name: "Scale34"
  type: "Scale"
  bottom: "Convolution35"
  top: "Convolution35"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU29"
  type: "ReLU"
  bottom: "Convolution35"
  top: "Convolution35"
}
layer {
  name: "Convolution36"
  type: "Convolution"
  bottom: "Convolution35"
  top: "Convolution36"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm35"
  type: "BatchNorm"
  bottom: "Convolution36"
  top: "Convolution36"
}
layer {
  name: "Scale35"
  type: "Scale"
  bottom: "Convolution36"
  top: "Convolution36"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU30"
  type: "ReLU"
  bottom: "Convolution36"
  top: "Convolution36"
}
layer {
  name: "Convolution37"
  type: "Convolution"
  bottom: "Convolution36"
  top: "Convolution37"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm36"
  type: "BatchNorm"
  bottom: "Convolution37"
  top: "Convolution37"
}
layer {
  name: "Scale36"
  type: "Scale"
  bottom: "Convolution37"
  top: "Convolution37"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution38"
  type: "Convolution"
  bottom: "Convolution34"
  top: "Convolution38"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm37"
  type: "BatchNorm"
  bottom: "Convolution38"
  top: "Convolution38"
}
layer {
  name: "Scale37"
  type: "Scale"
  bottom: "Convolution38"
  top: "Convolution38"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU31"
  type: "ReLU"
  bottom: "Convolution38"
  top: "Convolution38"
}
layer {
  name: "Convolution39"
  type: "Convolution"
  bottom: "Convolution38"
  top: "Convolution39"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm38"
  type: "BatchNorm"
  bottom: "Convolution39"
  top: "Convolution39"
}
layer {
  name: "Scale38"
  type: "Scale"
  bottom: "Convolution39"
  top: "Convolution39"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU32"
  type: "ReLU"
  bottom: "Convolution39"
  top: "Convolution39"
}
layer {
  name: "Convolution40"
  type: "Convolution"
  bottom: "Convolution39"
  top: "Convolution40"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm39"
  type: "BatchNorm"
  bottom: "Convolution40"
  top: "Convolution40"
}
layer {
  name: "Scale39"
  type: "Scale"
  bottom: "Convolution40"
  top: "Convolution40"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU33"
  type: "ReLU"
  bottom: "Convolution40"
  top: "Convolution40"
}
layer {
  name: "Deconvolution4"
  type: "Deconvolution"
  bottom: "Convolution40"
  top: "Deconvolution4"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 2
    group: 1
    stride: 2
  }
}
layer {
  name: "Convolution41"
  type: "Convolution"
  bottom: "Deconvolution4"
  top: "Convolution41"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm40"
  type: "BatchNorm"
  bottom: "Convolution41"
  top: "Convolution41"
}
layer {
  name: "Scale40"
  type: "Scale"
  bottom: "Convolution41"
  top: "Convolution41"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Eltwise4"
  type: "Eltwise"
  bottom: "Convolution37"
  bottom: "Convolution41"
  top: "Eltwise4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU34"
  type: "ReLU"
  bottom: "Eltwise4"
  top: "Eltwise4"
}
layer {
  name: "Convolution42"
  type: "Convolution"
  bottom: "Eltwise4"
  top: "Convolution42"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm41"
  type: "BatchNorm"
  bottom: "Convolution42"
  top: "Convolution42"
}
layer {
  name: "Scale41"
  type: "Scale"
  bottom: "Convolution42"
  top: "Convolution42"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU35"
  type: "ReLU"
  bottom: "Convolution42"
  top: "Convolution42"
}
layer {
  name: "Deconvolution5"
  type: "Deconvolution"
  bottom: "Convolution42"
  top: "Deconvolution5"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 2
    group: 1
    stride: 2
  }
}
layer {
  name: "Convolution43"
  type: "Convolution"
  bottom: "Deconvolution5"
  top: "Convolution43"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm42"
  type: "BatchNorm"
  bottom: "Convolution43"
  top: "Convolution43"
}
layer {
  name: "Scale42"
  type: "Scale"
  bottom: "Convolution43"
  top: "Convolution43"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Eltwise5"
  type: "Eltwise"
  bottom: "Convolution33"
  bottom: "Convolution43"
  top: "Eltwise5"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU36"
  type: "ReLU"
  bottom: "Eltwise5"
  top: "Eltwise5"
}
layer {
  name: "Convolution44"
  type: "Convolution"
  bottom: "Eltwise5"
  top: "Convolution44"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm43"
  type: "BatchNorm"
  bottom: "Convolution44"
  top: "Convolution44"
}
layer {
  name: "Scale43"
  type: "Scale"
  bottom: "Convolution44"
  top: "Convolution44"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU37"
  type: "ReLU"
  bottom: "Convolution44"
  top: "Convolution44"
}
layer {
  name: "Deconvolution6"
  type: "Deconvolution"
  bottom: "Convolution44"
  top: "Deconvolution6"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 2
    group: 1
    stride: 2
  }
}
layer {
  name: "Convolution45"
  type: "Convolution"
  bottom: "Deconvolution6"
  top: "Convolution45"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm44"
  type: "BatchNorm"
  bottom: "Convolution45"
  top: "Convolution45"
}
layer {
  name: "Scale44"
  type: "Scale"
  bottom: "Convolution45"
  top: "Convolution45"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Eltwise6"
  type: "Eltwise"
  bottom: "Convolution29"
  bottom: "Convolution45"
  top: "Eltwise6"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU38"
  type: "ReLU"
  bottom: "Eltwise6"
  top: "Eltwise6"
}
layer {
  name: "Convolution46"
  type: "Convolution"
  bottom: "Eltwise6"
  top: "Convolution46"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "BatchNorm45"
  type: "BatchNorm"
  bottom: "Convolution46"
  top: "Convolution46"
}
layer {
  name: "Scale45"
  type: "Scale"
  bottom: "Convolution46"
  top: "Convolution46"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU39"
  type: "ReLU"
  bottom: "Convolution46"
  top: "Convolution46"
}
layer {
  name: "Convolution47"
  type: "Convolution"
  bottom: "Convolution46"
  top: "Convolution47"
  convolution_param {
    num_output: 21
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.009999999776482582
    }
  }
}
layer {
  name: "output"
  type: "Sigmoid"
  bottom: "Convolution47"
  top: "output"
}