layer {
  name: "images"
  type: "Input"
  top: "images"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 320
      dim: 320
    }
  }
}
layer {
  name: "Conv_0"
  type: "Convolution"
  bottom: "images"
  top: "147"
  convolution_param {
    num_output: 16
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Conv_1"
  type: "Convolution"
  bottom: "147"
  top: "148"
  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: "Relu_2"
  type: "ReLU"
  bottom: "148"
  top: "149"
}
layer {
  name: "Conv_3"
  type: "Convolution"
  bottom: "149"
  top: "150"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Relu_4"
  type: "ReLU"
  bottom: "150"
  top: "151"
}
layer {
  name: "Conv_5"
  type: "Convolution"
  bottom: "151"
  top: "152"
  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: "Relu_6"
  type: "ReLU"
  bottom: "152"
  top: "153"
}
layer {
  name: "Conv_7"
  type: "Convolution"
  bottom: "153"
  top: "154"
  convolution_param {
    num_output: 64
    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: "Relu_8"
  type: "ReLU"
  bottom: "154"
  top: "155"
}
layer {
  name: "Add_9"
  type: "Eltwise"
  bottom: "151"
  bottom: "155"
  top: "156"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_10"
  type: "Convolution"
  bottom: "156"
  top: "157"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Relu_11"
  type: "ReLU"
  bottom: "157"
  top: "158"
}
layer {
  name: "Conv_12"
  type: "Convolution"
  bottom: "158"
  top: "159"
  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: "Relu_13"
  type: "ReLU"
  bottom: "159"
  top: "160"
}
layer {
  name: "Conv_14"
  type: "Convolution"
  bottom: "160"
  top: "161"
  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: "Relu_15"
  type: "ReLU"
  bottom: "161"
  top: "162"
}
layer {
  name: "Conv_16"
  type: "Convolution"
  bottom: "162"
  top: "163"
  convolution_param {
    num_output: 64
    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: "Relu_17"
  type: "ReLU"
  bottom: "163"
  top: "164"
}
layer {
  name: "Add_18"
  type: "Eltwise"
  bottom: "160"
  bottom: "164"
  top: "165"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_19"
  type: "Convolution"
  bottom: "165"
  top: "166"
  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: "Relu_20"
  type: "ReLU"
  bottom: "166"
  top: "167"
}
layer {
  name: "Conv_21"
  type: "Convolution"
  bottom: "167"
  top: "168"
  convolution_param {
    num_output: 64
    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: "Relu_22"
  type: "ReLU"
  bottom: "168"
  top: "169"
}
layer {
  name: "Add_23"
  type: "Eltwise"
  bottom: "165"
  bottom: "169"
  top: "170"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_24"
  type: "Convolution"
  bottom: "170"
  top: "171"
  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: "Relu_25"
  type: "ReLU"
  bottom: "171"
  top: "172"
}
layer {
  name: "Conv_26"
  type: "Convolution"
  bottom: "172"
  top: "173"
  convolution_param {
    num_output: 64
    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: "Relu_27"
  type: "ReLU"
  bottom: "173"
  top: "174"
}
layer {
  name: "Add_28"
  type: "Eltwise"
  bottom: "170"
  bottom: "174"
  top: "175"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_29"
  type: "Convolution"
  bottom: "175"
  top: "176"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_30"
  type: "Convolution"
  bottom: "158"
  top: "177"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_31"
  type: "Concat"
  bottom: "176"
  bottom: "177"
  top: "178"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_32_bn"
  type: "BatchNorm"
  bottom: "178"
  top: "179"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-05
  }
}
layer {
  name: "BatchNormalization_32"
  type: "Scale"
  bottom: "179"
  top: "179"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Relu_33"
  type: "ReLU"
  bottom: "179"
  top: "180"
}
layer {
  name: "Conv_34"
  type: "Convolution"
  bottom: "180"
  top: "181"
  convolution_param {
    num_output: 128
    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: "Relu_35"
  type: "ReLU"
  bottom: "181"
  top: "182"
}
layer {
  name: "Conv_36"
  type: "Convolution"
  bottom: "182"
  top: "183"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Relu_37"
  type: "ReLU"
  bottom: "183"
  top: "184"
}
layer {
  name: "Conv_38"
  type: "Convolution"
  bottom: "184"
  top: "185"
  convolution_param {
    num_output: 128
    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: "Relu_39"
  type: "ReLU"
  bottom: "185"
  top: "186"
}
layer {
  name: "Conv_40"
  type: "Convolution"
  bottom: "186"
  top: "187"
  convolution_param {
    num_output: 128
    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: "Relu_41"
  type: "ReLU"
  bottom: "187"
  top: "188"
}
layer {
  name: "Conv_42"
  type: "Convolution"
  bottom: "188"
  top: "189"
  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: "Relu_43"
  type: "ReLU"
  bottom: "189"
  top: "190"
}
layer {
  name: "Add_44"
  type: "Eltwise"
  bottom: "186"
  bottom: "190"
  top: "191"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_45"
  type: "Convolution"
  bottom: "191"
  top: "192"
  convolution_param {
    num_output: 128
    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: "Relu_46"
  type: "ReLU"
  bottom: "192"
  top: "193"
}
layer {
  name: "Conv_47"
  type: "Convolution"
  bottom: "193"
  top: "194"
  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: "Relu_48"
  type: "ReLU"
  bottom: "194"
  top: "195"
}
layer {
  name: "Add_49"
  type: "Eltwise"
  bottom: "191"
  bottom: "195"
  top: "196"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_50"
  type: "Convolution"
  bottom: "196"
  top: "197"
  convolution_param {
    num_output: 128
    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: "Relu_51"
  type: "ReLU"
  bottom: "197"
  top: "198"
}
layer {
  name: "Conv_52"
  type: "Convolution"
  bottom: "198"
  top: "199"
  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: "Relu_53"
  type: "ReLU"
  bottom: "199"
  top: "200"
}
layer {
  name: "Add_54"
  type: "Eltwise"
  bottom: "196"
  bottom: "200"
  top: "201"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_55"
  type: "Convolution"
  bottom: "201"
  top: "202"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_56"
  type: "Convolution"
  bottom: "184"
  top: "203"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_57"
  type: "Concat"
  bottom: "202"
  bottom: "203"
  top: "204"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_58_bn"
  type: "BatchNorm"
  bottom: "204"
  top: "205"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-05
  }
}
layer {
  name: "BatchNormalization_58"
  type: "Scale"
  bottom: "205"
  top: "205"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Relu_59"
  type: "ReLU"
  bottom: "205"
  top: "206"
}
layer {
  name: "Conv_60"
  type: "Convolution"
  bottom: "206"
  top: "207"
  convolution_param {
    num_output: 256
    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: "Relu_61"
  type: "ReLU"
  bottom: "207"
  top: "208"
}
layer {
  name: "Conv_62"
  type: "Convolution"
  bottom: "208"
  top: "209"
  convolution_param {
    num_output: 512
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Relu_63"
  type: "ReLU"
  bottom: "209"
  top: "210"
}
layer {
  name: "Conv_64"
  type: "Convolution"
  bottom: "210"
  top: "211"
  convolution_param {
    num_output: 256
    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: "Relu_65"
  type: "ReLU"
  bottom: "211"
  top: "212"
}
layer {
  name: "MaxPool_66"
  type: "Pooling"
  bottom: "212"
  top: "213"
  pooling_param {
    pool: MAX
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    pad_h: 2
    pad_w: 2
  }
}
layer {
  name: "MaxPool_67"
  type: "Pooling"
  bottom: "212"
  top: "214"
  pooling_param {
    pool: MAX
    kernel_h: 9
    kernel_w: 9
    stride_h: 1
    stride_w: 1
    pad_h: 4
    pad_w: 4
  }
}
layer {
  name: "MaxPool_68"
  type: "Pooling"
  bottom: "212"
  top: "215"
  pooling_param {
    pool: MAX
    kernel_h: 13
    kernel_w: 13
    stride_h: 1
    stride_w: 1
    pad_h: 6
    pad_w: 6
  }
}
layer {
  name: "Concat_69"
  type: "Concat"
  bottom: "212"
  bottom: "213"
  bottom: "214"
  bottom: "215"
  top: "216"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_70"
  type: "Convolution"
  bottom: "216"
  top: "217"
  convolution_param {
    num_output: 512
    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: "Relu_71"
  type: "ReLU"
  bottom: "217"
  top: "218"
}
layer {
  name: "Conv_72"
  type: "Convolution"
  bottom: "218"
  top: "219"
  convolution_param {
    num_output: 256
    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: "Relu_73"
  type: "ReLU"
  bottom: "219"
  top: "220"
}
layer {
  name: "Conv_74"
  type: "Convolution"
  bottom: "220"
  top: "221"
  convolution_param {
    num_output: 256
    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: "Relu_75"
  type: "ReLU"
  bottom: "221"
  top: "222"
}
layer {
  name: "Conv_76"
  type: "Convolution"
  bottom: "222"
  top: "223"
  convolution_param {
    num_output: 256
    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: "Relu_77"
  type: "ReLU"
  bottom: "223"
  top: "224"
}
layer {
  name: "Add_78"
  type: "Eltwise"
  bottom: "220"
  bottom: "224"
  top: "225"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_79"
  type: "Convolution"
  bottom: "225"
  top: "226"
  convolution_param {
    num_output: 256
    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: "Relu_80"
  type: "ReLU"
  bottom: "226"
  top: "227"
}
layer {
  name: "Conv_81"
  type: "Convolution"
  bottom: "227"
  top: "228"
  convolution_param {
    num_output: 256
    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: "Relu_82"
  type: "ReLU"
  bottom: "228"
  top: "229"
}
layer {
  name: "Add_83"
  type: "Eltwise"
  bottom: "225"
  bottom: "229"
  top: "230"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_84"
  type: "Convolution"
  bottom: "230"
  top: "231"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_85"
  type: "Convolution"
  bottom: "218"
  top: "232"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_86"
  type: "Concat"
  bottom: "231"
  bottom: "232"
  top: "233"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_87_bn"
  type: "BatchNorm"
  bottom: "233"
  top: "234"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-05
  }
}
layer {
  name: "BatchNormalization_87"
  type: "Scale"
  bottom: "234"
  top: "234"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Relu_88"
  type: "ReLU"
  bottom: "234"
  top: "235"
}
layer {
  name: "Conv_89"
  type: "Convolution"
  bottom: "235"
  top: "236"
  convolution_param {
    num_output: 512
    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: "Relu_90"
  type: "ReLU"
  bottom: "236"
  top: "237"
}
layer {
  name: "Conv_91"
  type: "Convolution"
  bottom: "237"
  top: "238"
  convolution_param {
    num_output: 256
    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: "Relu_92"
  type: "ReLU"
  bottom: "238"
  top: "239"
}
layer {
  name: "Conv_93"
  type: "Convolution"
  bottom: "239"
  top: "240"
  convolution_param {
    num_output: 256
    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: "Relu_94"
  type: "ReLU"
  bottom: "240"
  top: "241"
}
layer {
  name: "Conv_95"
  type: "Convolution"
  bottom: "241"
  top: "242"
  convolution_param {
    num_output: 256
    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: "Relu_96"
  type: "ReLU"
  bottom: "242"
  top: "243"
}
layer {
  name: "Conv_97"
  type: "Convolution"
  bottom: "243"
  top: "244"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_98"
  type: "Convolution"
  bottom: "237"
  top: "245"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_99"
  type: "Concat"
  bottom: "244"
  bottom: "245"
  top: "246"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_100_bn"
  type: "BatchNorm"
  bottom: "246"
  top: "247"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-05
  }
}
layer {
  name: "BatchNormalization_100"
  type: "Scale"
  bottom: "247"
  top: "247"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Relu_101"
  type: "ReLU"
  bottom: "247"
  top: "248"
}
layer {
  name: "Conv_102"
  type: "Convolution"
  bottom: "248"
  top: "249"
  convolution_param {
    num_output: 512
    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: "Relu_103"
  type: "ReLU"
  bottom: "249"
  top: "250"
}
layer {
  name: "Conv_104"
  type: "Convolution"
  bottom: "250"
  top: "251"
  convolution_param {
    num_output: 159
    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: "ConvTranspose_105"
  type: "Deconvolution"
  bottom: "250"
  top: "252"
  convolution_param {
    num_output: 512
    bias_term: true
    group: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 2
    kernel_w: 2
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "Concat_106"
  type: "Concat"
  bottom: "252"
  bottom: "208"
  top: "253"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_107"
  type: "Convolution"
  bottom: "253"
  top: "254"
  convolution_param {
    num_output: 256
    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: "Relu_108"
  type: "ReLU"
  bottom: "254"
  top: "255"
}
layer {
  name: "Conv_109"
  type: "Convolution"
  bottom: "255"
  top: "256"
  convolution_param {
    num_output: 128
    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: "Relu_110"
  type: "ReLU"
  bottom: "256"
  top: "257"
}
layer {
  name: "Conv_111"
  type: "Convolution"
  bottom: "257"
  top: "258"
  convolution_param {
    num_output: 128
    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: "Relu_112"
  type: "ReLU"
  bottom: "258"
  top: "259"
}
layer {
  name: "Conv_113"
  type: "Convolution"
  bottom: "259"
  top: "260"
  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: "Relu_114"
  type: "ReLU"
  bottom: "260"
  top: "261"
}
layer {
  name: "Conv_115"
  type: "Convolution"
  bottom: "261"
  top: "262"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_116"
  type: "Convolution"
  bottom: "255"
  top: "263"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_117"
  type: "Concat"
  bottom: "262"
  bottom: "263"
  top: "264"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_118_bn"
  type: "BatchNorm"
  bottom: "264"
  top: "265"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-05
  }
}
layer {
  name: "BatchNormalization_118"
  type: "Scale"
  bottom: "265"
  top: "265"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Relu_119"
  type: "ReLU"
  bottom: "265"
  top: "266"
}
layer {
  name: "Conv_120"
  type: "Convolution"
  bottom: "266"
  top: "267"
  convolution_param {
    num_output: 256
    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: "Relu_121"
  type: "ReLU"
  bottom: "267"
  top: "268"
}
layer {
  name: "Conv_122"
  type: "Convolution"
  bottom: "268"
  top: "269"
  convolution_param {
    num_output: 159
    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: "ConvTranspose_123"
  type: "Deconvolution"
  bottom: "268"
  top: "270"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 2
    kernel_w: 2
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "Concat_124"
  type: "Concat"
  bottom: "270"
  bottom: "182"
  top: "271"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_125"
  type: "Convolution"
  bottom: "271"
  top: "272"
  convolution_param {
    num_output: 128
    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: "Relu_126"
  type: "ReLU"
  bottom: "272"
  top: "273"
}
layer {
  name: "Conv_127"
  type: "Convolution"
  bottom: "273"
  top: "274"
  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: "Relu_128"
  type: "ReLU"
  bottom: "274"
  top: "275"
}
layer {
  name: "Conv_129"
  type: "Convolution"
  bottom: "275"
  top: "276"
  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: "Relu_130"
  type: "ReLU"
  bottom: "276"
  top: "277"
}
layer {
  name: "Conv_131"
  type: "Convolution"
  bottom: "277"
  top: "278"
  convolution_param {
    num_output: 64
    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: "Relu_132"
  type: "ReLU"
  bottom: "278"
  top: "279"
}
layer {
  name: "Conv_133"
  type: "Convolution"
  bottom: "279"
  top: "280"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_134"
  type: "Convolution"
  bottom: "273"
  top: "281"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_135"
  type: "Concat"
  bottom: "280"
  bottom: "281"
  top: "282"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_136_bn"
  type: "BatchNorm"
  bottom: "282"
  top: "283"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-05
  }
}
layer {
  name: "BatchNormalization_136"
  type: "Scale"
  bottom: "283"
  top: "283"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Relu_137"
  type: "ReLU"
  bottom: "283"
  top: "284"
}
layer {
  name: "Conv_138"
  type: "Convolution"
  bottom: "284"
  top: "285"
  convolution_param {
    num_output: 128
    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: "Relu_139"
  type: "ReLU"
  bottom: "285"
  top: "286"
}
layer {
  name: "Conv_140"
  type: "Convolution"
  bottom: "286"
  top: "287"
  convolution_param {
    num_output: 159
    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: "Reshape_154"
  type: "Reshape"
  bottom: "287"
  top: "305"
  reshape_param {
    shape {
      dim: 0
      dim: 3
      dim: 53
      dim: 1600
    }
  }
}
layer {
  name: "Reshape_169"
  type: "Reshape"
  bottom: "269"
  top: "324"
  reshape_param {
    shape {
      dim: 0
      dim: 3
      dim: 53
      dim: 400
    }
  }
}
layer {
  name: "Reshape_184"
  type: "Reshape"
  bottom: "251"
  top: "343"
  reshape_param {
    shape {
      dim: 0
      dim: 3
      dim: 53
      dim: 100
    }
  }
}