layer {
  name: "0"
  type: "Input"
  top: "0"
  input_param {
    shape {
      dim: 1
      dim: 1
      dim: 32
      dim: 512
    }
  }
}
layer {
  name: "39_Conv"
  type: "Convolution"
  bottom: "0"
  top: "39"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "40_Relu"
  type: "ReLU"
  bottom: "39"
  top: "40"
}
layer {
  name: "41_Conv"
  type: "Convolution"
  bottom: "40"
  top: "41"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "42_Relu"
  type: "ReLU"
  bottom: "41"
  top: "42"
}
layer {
  name: "43_Conv"
  type: "Convolution"
  bottom: "40"
  top: "43"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "44_Relu"
  type: "ReLU"
  bottom: "43"
  top: "44"
}
layer {
  name: "45_Concat"
  type: "Concat"
  bottom: "42"
  bottom: "44"
  top: "45"
  concat_param {
    axis: 1
  }
}
layer {
  name: "46_MaxPool"
  type: "Pooling"
  bottom: "45"
  top: "46"
  pooling_param {
    pool: MAX
    kernel_h: 2
    kernel_w: 2
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "47_Conv"
  type: "Convolution"
  bottom: "46"
  top: "47"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "48_Relu"
  type: "ReLU"
  bottom: "47"
  top: "48"
}
layer {
  name: "49_Conv"
  type: "Convolution"
  bottom: "46"
  top: "49"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "50_Relu"
  type: "ReLU"
  bottom: "49"
  top: "50"
}
layer {
  name: "51_Concat"
  type: "Concat"
  bottom: "48"
  bottom: "50"
  top: "51"
  concat_param {
    axis: 1
  }
}
layer {
  name: "52_Conv"
  type: "Convolution"
  bottom: "51"
  top: "52"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "53_Relu"
  type: "ReLU"
  bottom: "52"
  top: "53"
}
layer {
  name: "54_Conv"
  type: "Convolution"
  bottom: "53"
  top: "54"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "55_Relu"
  type: "ReLU"
  bottom: "54"
  top: "55"
}
layer {
  name: "56_Conv"
  type: "Convolution"
  bottom: "53"
  top: "56"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "57_Relu"
  type: "ReLU"
  bottom: "56"
  top: "57"
}
layer {
  name: "58_Concat"
  type: "Concat"
  bottom: "55"
  bottom: "57"
  top: "58"
  concat_param {
    axis: 1
  }
}
layer {
  name: "59_MaxPool"
  type: "Pooling"
  bottom: "58"
  top: "59"
  pooling_param {
    pool: MAX
    kernel_h: 2
    kernel_w: 2
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "60_Conv"
  type: "Convolution"
  bottom: "59"
  top: "60"
  convolution_param {
    num_output: 80
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "61_Relu"
  type: "ReLU"
  bottom: "60"
  top: "61"
}
layer {
  name: "62_Conv"
  type: "Convolution"
  bottom: "61"
  top: "62"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "63_Relu"
  type: "ReLU"
  bottom: "62"
  top: "63"
}
layer {
  name: "64_Conv"
  type: "Convolution"
  bottom: "63"
  top: "64"
  convolution_param {
    num_output: 80
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "65_Relu"
  type: "ReLU"
  bottom: "64"
  top: "65"
}
layer {
  name: "66_Conv"
  type: "Convolution"
  bottom: "65"
  top: "66"
  convolution_param {
    num_output: 192
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "67_Relu"
  type: "ReLU"
  bottom: "66"
  top: "67"
}
layer {
  name: "68_MaxPool"
  type: "Pooling"
  bottom: "67"
  top: "68"
  pooling_param {
    pool: MAX
    kernel_h: 2
    kernel_w: 2
    stride_h: 2
    stride_w: 1
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "69_Conv"
  type: "Convolution"
  bottom: "68"
  top: "69"
  convolution_param {
    num_output: 104
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "70_Relu"
  type: "ReLU"
  bottom: "69"
  top: "70"
}
layer {
  name: "71_Conv"
  type: "Convolution"
  bottom: "70"
  top: "71"
  convolution_param {
    num_output: 176
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "72_Relu"
  type: "ReLU"
  bottom: "71"
  top: "72"
}
layer {
  name: "73_Conv"
  type: "Convolution"
  bottom: "72"
  top: "73"
  convolution_param {
    num_output: 104
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "74_Relu"
  type: "ReLU"
  bottom: "73"
  top: "74"
}
layer {
  name: "75_Conv"
  type: "Convolution"
  bottom: "74"
  top: "75"
  convolution_param {
    num_output: 160
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "76_Relu"
  type: "ReLU"
  bottom: "75"
  top: "76"
}
layer {
  name: "77_Conv"
  type: "Convolution"
  bottom: "76"
  top: "77"
  convolution_param {
    num_output: 88
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 2
    kernel_h: 4
    kernel_w: 4
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "78_Relu"
  type: "ReLU"
  bottom: "77"
  top: "78"
}
layer {
  name: "79_Conv"
  type: "Convolution"
  bottom: "78"
  top: "79"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "80_Relu"
  type: "ReLU"
  bottom: "79"
  top: "80"
}
layer {
  name: "81_Conv"
  type: "Convolution"
  bottom: "80"
  top: "81"
  convolution_param {
    num_output: 40
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "82_Relu"
  type: "ReLU"
  bottom: "81"
  top: "82"
}