layer {
  name: "input"
  type: "Input"
  top: "input"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 400
      dim: 400
    }
  }
}
layer {
  name: "245"
  type: "Convolution"
  bottom: "input"
  top: "245"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "246_bn"
  type: "BatchNorm"
  bottom: "245"
  top: "246"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "246"
  type: "Scale"
  bottom: "246"
  top: "246"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "247"
  type: "ReLU"
  bottom: "246"
  top: "247"
}
layer {
  name: "248"
  type: "Convolution"
  bottom: "247"
  top: "248"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 16
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "249_bn"
  type: "BatchNorm"
  bottom: "248"
  top: "249"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "249"
  type: "Scale"
  bottom: "249"
  top: "249"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "250"
  type: "ReLU"
  bottom: "249"
  top: "250"
}
layer {
  name: "251"
  type: "Convolution"
  bottom: "250"
  top: "251"
  convolution_param {
    num_output: 32
    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: "252_bn"
  type: "BatchNorm"
  bottom: "251"
  top: "252"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "252"
  type: "Scale"
  bottom: "252"
  top: "252"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "253"
  type: "ReLU"
  bottom: "252"
  top: "253"
}
layer {
  name: "254"
  type: "Convolution"
  bottom: "253"
  top: "254"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 32
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "255_bn"
  type: "BatchNorm"
  bottom: "254"
  top: "255"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "255"
  type: "Scale"
  bottom: "255"
  top: "255"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "256"
  type: "ReLU"
  bottom: "255"
  top: "256"
}
layer {
  name: "257"
  type: "Convolution"
  bottom: "256"
  top: "257"
  convolution_param {
    num_output: 32
    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: "258_bn"
  type: "BatchNorm"
  bottom: "257"
  top: "258"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "258"
  type: "Scale"
  bottom: "258"
  top: "258"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "259"
  type: "ReLU"
  bottom: "258"
  top: "259"
}
layer {
  name: "260"
  type: "Convolution"
  bottom: "259"
  top: "260"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 32
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "261_bn"
  type: "BatchNorm"
  bottom: "260"
  top: "261"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "261"
  type: "Scale"
  bottom: "261"
  top: "261"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "262"
  type: "ReLU"
  bottom: "261"
  top: "262"
}
layer {
  name: "263"
  type: "Convolution"
  bottom: "262"
  top: "263"
  convolution_param {
    num_output: 32
    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: "264_bn"
  type: "BatchNorm"
  bottom: "263"
  top: "264"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "264"
  type: "Scale"
  bottom: "264"
  top: "264"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "265"
  type: "ReLU"
  bottom: "264"
  top: "265"
}
layer {
  name: "266"
  type: "Eltwise"
  bottom: "259"
  bottom: "265"
  top: "266"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "267"
  type: "Convolution"
  bottom: "266"
  top: "267"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 32
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "268_bn"
  type: "BatchNorm"
  bottom: "267"
  top: "268"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "268"
  type: "Scale"
  bottom: "268"
  top: "268"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "269"
  type: "ReLU"
  bottom: "268"
  top: "269"
}
layer {
  name: "270"
  type: "Convolution"
  bottom: "269"
  top: "270"
  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: "271_bn"
  type: "BatchNorm"
  bottom: "270"
  top: "271"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "271"
  type: "Scale"
  bottom: "271"
  top: "271"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "272"
  type: "ReLU"
  bottom: "271"
  top: "272"
}
layer {
  name: "273"
  type: "Convolution"
  bottom: "272"
  top: "273"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "274_bn"
  type: "BatchNorm"
  bottom: "273"
  top: "274"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "274"
  type: "Scale"
  bottom: "274"
  top: "274"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "275"
  type: "ReLU"
  bottom: "274"
  top: "275"
}
layer {
  name: "276"
  type: "Convolution"
  bottom: "275"
  top: "276"
  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: "277_bn"
  type: "BatchNorm"
  bottom: "276"
  top: "277"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "277"
  type: "Scale"
  bottom: "277"
  top: "277"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "278"
  type: "ReLU"
  bottom: "277"
  top: "278"
}
layer {
  name: "279"
  type: "Eltwise"
  bottom: "272"
  bottom: "278"
  top: "279"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "280"
  type: "Convolution"
  bottom: "279"
  top: "280"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "281_bn"
  type: "BatchNorm"
  bottom: "280"
  top: "281"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "281"
  type: "Scale"
  bottom: "281"
  top: "281"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "282"
  type: "ReLU"
  bottom: "281"
  top: "282"
}
layer {
  name: "283"
  type: "Convolution"
  bottom: "282"
  top: "283"
  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: "284_bn"
  type: "BatchNorm"
  bottom: "283"
  top: "284"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "284"
  type: "Scale"
  bottom: "284"
  top: "284"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "285"
  type: "ReLU"
  bottom: "284"
  top: "285"
}
layer {
  name: "286"
  type: "Eltwise"
  bottom: "279"
  bottom: "285"
  top: "286"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "287"
  type: "Convolution"
  bottom: "286"
  top: "287"
  convolution_param {
    num_output: 8
    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: "288_bn"
  type: "BatchNorm"
  bottom: "287"
  top: "288"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "288"
  type: "Scale"
  bottom: "288"
  top: "288"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "289"
  type: "Convolution"
  bottom: "288"
  top: "289"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "290_bn"
  type: "BatchNorm"
  bottom: "289"
  top: "290"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "290"
  type: "Scale"
  bottom: "290"
  top: "290"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "291"
  type: "ReLU"
  bottom: "290"
  top: "291"
}
layer {
  name: "292"
  type: "Convolution"
  bottom: "291"
  top: "292"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 1
    pad_h: 2
    pad_w: 2
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 2
  }
}
layer {
  name: "293_bn"
  type: "BatchNorm"
  bottom: "292"
  top: "293"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "293"
  type: "Scale"
  bottom: "293"
  top: "293"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "294"
  type: "Convolution"
  bottom: "286"
  top: "294"
  convolution_param {
    num_output: 8
    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: "295_bn"
  type: "BatchNorm"
  bottom: "294"
  top: "295"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "295"
  type: "Scale"
  bottom: "295"
  top: "295"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "296"
  type: "Convolution"
  bottom: "295"
  top: "296"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "297_bn"
  type: "BatchNorm"
  bottom: "296"
  top: "297"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "297"
  type: "Scale"
  bottom: "297"
  top: "297"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "298"
  type: "ReLU"
  bottom: "297"
  top: "298"
}
layer {
  name: "299"
  type: "Convolution"
  bottom: "298"
  top: "299"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 1
    pad_h: 3
    pad_w: 3
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 3
  }
}
layer {
  name: "300_bn"
  type: "BatchNorm"
  bottom: "299"
  top: "300"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "300"
  type: "Scale"
  bottom: "300"
  top: "300"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "301"
  type: "Convolution"
  bottom: "286"
  top: "301"
  convolution_param {
    num_output: 8
    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: "302_bn"
  type: "BatchNorm"
  bottom: "301"
  top: "302"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "302"
  type: "Scale"
  bottom: "302"
  top: "302"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "303"
  type: "Convolution"
  bottom: "302"
  top: "303"
  convolution_param {
    num_output: 12
    bias_term: false
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "304_bn"
  type: "BatchNorm"
  bottom: "303"
  top: "304"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "304"
  type: "Scale"
  bottom: "304"
  top: "304"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "305"
  type: "ReLU"
  bottom: "304"
  top: "305"
}
layer {
  name: "306"
  type: "Convolution"
  bottom: "305"
  top: "306"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "307_bn"
  type: "BatchNorm"
  bottom: "306"
  top: "307"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "307"
  type: "Scale"
  bottom: "307"
  top: "307"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "308"
  type: "ReLU"
  bottom: "307"
  top: "308"
}
layer {
  name: "309"
  type: "Convolution"
  bottom: "308"
  top: "309"
  convolution_param {
    num_output: 16
    bias_term: false
    group: 1
    pad_h: 5
    pad_w: 5
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 5
  }
}
layer {
  name: "310_bn"
  type: "BatchNorm"
  bottom: "309"
  top: "310"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "310"
  type: "Scale"
  bottom: "310"
  top: "310"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "311"
  type: "Concat"
  bottom: "293"
  bottom: "300"
  bottom: "310"
  top: "311"
  concat_param {
    axis: 1
  }
}
layer {
  name: "312"
  type: "Convolution"
  bottom: "311"
  top: "312"
  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: "313_bn"
  type: "BatchNorm"
  bottom: "312"
  top: "313"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "313"
  type: "Scale"
  bottom: "313"
  top: "313"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "314"
  type: "Convolution"
  bottom: "286"
  top: "314"
  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: "315_bn"
  type: "BatchNorm"
  bottom: "314"
  top: "315"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "315"
  type: "Scale"
  bottom: "315"
  top: "315"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "316"
  type: "Eltwise"
  bottom: "313"
  bottom: "315"
  top: "316"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "317"
  type: "ReLU"
  bottom: "316"
  top: "317"
}
layer {
  name: "318"
  type: "Convolution"
  bottom: "317"
  top: "318"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "319"
  type: "ReLU"
  bottom: "318"
  top: "319"
}
layer {
  name: "320"
  type: "Convolution"
  bottom: "319"
  top: "320"
  convolution_param {
    num_output: 6
    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: "321"
  type: "Permute"
  bottom: "320"
  top: "321"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "331"
  type: "Reshape"
  bottom: "321"
  top: "331"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 2
    }
  }
}
layer {
  name: "332"
  type: "Convolution"
  bottom: "317"
  top: "332"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "333"
  type: "ReLU"
  bottom: "332"
  top: "333"
}
layer {
  name: "334"
  type: "Convolution"
  bottom: "333"
  top: "334"
  convolution_param {
    num_output: 12
    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: "335"
  type: "Permute"
  bottom: "334"
  top: "335"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "345"
  type: "Reshape"
  bottom: "335"
  top: "345"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 4
    }
  }
}
layer {
  name: "346"
  type: "Convolution"
  bottom: "317"
  top: "346"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "347_bn"
  type: "BatchNorm"
  bottom: "346"
  top: "347"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "347"
  type: "Scale"
  bottom: "347"
  top: "347"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "348"
  type: "ReLU"
  bottom: "347"
  top: "348"
}
layer {
  name: "349"
  type: "Convolution"
  bottom: "348"
  top: "349"
  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: "350_bn"
  type: "BatchNorm"
  bottom: "349"
  top: "350"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "350"
  type: "Scale"
  bottom: "350"
  top: "350"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "351"
  type: "ReLU"
  bottom: "350"
  top: "351"
}
layer {
  name: "352"
  type: "Convolution"
  bottom: "351"
  top: "352"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "353_bn"
  type: "BatchNorm"
  bottom: "352"
  top: "353"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "353"
  type: "Scale"
  bottom: "353"
  top: "353"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "354"
  type: "ReLU"
  bottom: "353"
  top: "354"
}
layer {
  name: "355"
  type: "Convolution"
  bottom: "354"
  top: "355"
  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: "356_bn"
  type: "BatchNorm"
  bottom: "355"
  top: "356"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "356"
  type: "Scale"
  bottom: "356"
  top: "356"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "357"
  type: "ReLU"
  bottom: "356"
  top: "357"
}
layer {
  name: "358"
  type: "Eltwise"
  bottom: "351"
  bottom: "357"
  top: "358"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "359"
  type: "Convolution"
  bottom: "358"
  top: "359"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "360_bn"
  type: "BatchNorm"
  bottom: "359"
  top: "360"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "360"
  type: "Scale"
  bottom: "360"
  top: "360"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "361"
  type: "ReLU"
  bottom: "360"
  top: "361"
}
layer {
  name: "362"
  type: "Convolution"
  bottom: "361"
  top: "362"
  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: "363_bn"
  type: "BatchNorm"
  bottom: "362"
  top: "363"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "363"
  type: "Scale"
  bottom: "363"
  top: "363"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "364"
  type: "ReLU"
  bottom: "363"
  top: "364"
}
layer {
  name: "365"
  type: "Eltwise"
  bottom: "358"
  bottom: "364"
  top: "365"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "366"
  type: "Convolution"
  bottom: "365"
  top: "366"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "367"
  type: "ReLU"
  bottom: "366"
  top: "367"
}
layer {
  name: "368"
  type: "Convolution"
  bottom: "367"
  top: "368"
  convolution_param {
    num_output: 6
    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: "369"
  type: "Permute"
  bottom: "368"
  top: "369"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "379"
  type: "Reshape"
  bottom: "369"
  top: "379"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 2
    }
  }
}
layer {
  name: "380"
  type: "Convolution"
  bottom: "365"
  top: "380"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "381"
  type: "ReLU"
  bottom: "380"
  top: "381"
}
layer {
  name: "382"
  type: "Convolution"
  bottom: "381"
  top: "382"
  convolution_param {
    num_output: 12
    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: "383"
  type: "Permute"
  bottom: "382"
  top: "383"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "393"
  type: "Reshape"
  bottom: "383"
  top: "393"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 4
    }
  }
}
layer {
  name: "394"
  type: "Convolution"
  bottom: "365"
  top: "394"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "395_bn"
  type: "BatchNorm"
  bottom: "394"
  top: "395"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "395"
  type: "Scale"
  bottom: "395"
  top: "395"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "396"
  type: "ReLU"
  bottom: "395"
  top: "396"
}
layer {
  name: "397"
  type: "Convolution"
  bottom: "396"
  top: "397"
  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: "398_bn"
  type: "BatchNorm"
  bottom: "397"
  top: "398"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "398"
  type: "Scale"
  bottom: "398"
  top: "398"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "399"
  type: "ReLU"
  bottom: "398"
  top: "399"
}
layer {
  name: "400"
  type: "Convolution"
  bottom: "399"
  top: "400"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "401_bn"
  type: "BatchNorm"
  bottom: "400"
  top: "401"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "401"
  type: "Scale"
  bottom: "401"
  top: "401"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "402"
  type: "ReLU"
  bottom: "401"
  top: "402"
}
layer {
  name: "403"
  type: "Convolution"
  bottom: "402"
  top: "403"
  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: "404_bn"
  type: "BatchNorm"
  bottom: "403"
  top: "404"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "404"
  type: "Scale"
  bottom: "404"
  top: "404"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "405"
  type: "ReLU"
  bottom: "404"
  top: "405"
}
layer {
  name: "406"
  type: "Eltwise"
  bottom: "399"
  bottom: "405"
  top: "406"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "407"
  type: "Convolution"
  bottom: "406"
  top: "407"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "408"
  type: "ReLU"
  bottom: "407"
  top: "408"
}
layer {
  name: "409"
  type: "Convolution"
  bottom: "408"
  top: "409"
  convolution_param {
    num_output: 6
    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: "410"
  type: "Permute"
  bottom: "409"
  top: "410"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "420"
  type: "Reshape"
  bottom: "410"
  top: "420"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 2
    }
  }
}
layer {
  name: "421"
  type: "Convolution"
  bottom: "406"
  top: "421"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "422"
  type: "ReLU"
  bottom: "421"
  top: "422"
}
layer {
  name: "423"
  type: "Convolution"
  bottom: "422"
  top: "423"
  convolution_param {
    num_output: 12
    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: "424"
  type: "Permute"
  bottom: "423"
  top: "424"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "434"
  type: "Reshape"
  bottom: "424"
  top: "434"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 4
    }
  }
}
layer {
  name: "435"
  type: "Convolution"
  bottom: "406"
  top: "435"
  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: "436"
  type: "ReLU"
  bottom: "435"
  top: "436"
}
layer {
  name: "437"
  type: "Convolution"
  bottom: "436"
  top: "437"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "438"
  type: "ReLU"
  bottom: "437"
  top: "438"
}
layer {
  name: "439"
  type: "Convolution"
  bottom: "438"
  top: "439"
  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: "440"
  type: "ReLU"
  bottom: "439"
  top: "440"
}
layer {
  name: "441"
  type: "Convolution"
  bottom: "440"
  top: "441"
  convolution_param {
    num_output: 6
    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: "442"
  type: "Permute"
  bottom: "441"
  top: "442"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "452"
  type: "Reshape"
  bottom: "442"
  top: "452"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 2
    }
  }
}
layer {
  name: "453"
  type: "Convolution"
  bottom: "440"
  top: "453"
  convolution_param {
    num_output: 12
    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: "454"
  type: "Permute"
  bottom: "453"
  top: "454"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "464"
  type: "Reshape"
  bottom: "454"
  top: "464"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 4
    }
  }
}
layer {
  name: "465"
  type: "Concat"
  bottom: "331"
  bottom: "379"
  bottom: "420"
  bottom: "452"
  top: "465"
  concat_param {
    axis: 1
  }
}
layer {
  name: "boxes"
  type: "Concat"
  bottom: "345"
  bottom: "393"
  bottom: "434"
  bottom: "464"
  top: "boxes"
  concat_param {
    axis: 1
  }
}
layer {
  name: "scores"
  type: "Softmax"
  bottom: "465"
  top: "scores"
  softmax_param {
    axis: 2
  }
}