resnest101.prototxt

layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 256
      dim: 256
    }
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "bn2"
  type: "BatchNorm"
  bottom: "conv1"
  top: "conv1"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale2"
  type: "Scale"
  bottom: "conv1"
  top: "conv1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "conv1"
  top: "conv4"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "bn5"
  type: "BatchNorm"
  bottom: "conv4"
  top: "conv4"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale5"
  type: "Scale"
  bottom: "conv4"
  top: "conv4"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "conv4"
  top: "conv4"
}
layer {
  name: "conv7"
  type: "Convolution"
  bottom: "conv4"
  top: "conv7"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "bn8"
  type: "BatchNorm"
  bottom: "conv7"
  top: "conv7"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale8"
  type: "Scale"
  bottom: "conv7"
  top: "conv7"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu9"
  type: "ReLU"
  bottom: "conv7"
  top: "conv7"
}
layer {
  name: "pool10"
  type: "Pooling"
  bottom: "conv7"
  top: "pool10"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
    pad: 1
    round_mode: FLOOR
  }
}
layer {
  name: "conv11"
  type: "Convolution"
  bottom: "pool10"
  top: "conv11"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn12"
  type: "BatchNorm"
  bottom: "conv11"
  top: "conv11"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale12"
  type: "Scale"
  bottom: "conv11"
  top: "conv11"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu13"
  type: "ReLU"
  bottom: "conv11"
  top: "conv11"
}
layer {
  name: "conv14"
  type: "Convolution"
  bottom: "conv11"
  top: "conv14"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn15"
  type: "BatchNorm"
  bottom: "conv14"
  top: "conv14"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale15"
  type: "Scale"
  bottom: "conv14"
  top: "conv14"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu16"
  type: "ReLU"
  bottom: "conv14"
  top: "conv14"
}
layer {
  name: "slice17"
  type: "Slice"
  bottom: "conv14"
  top: "slice17-0"
  top: "slice17-1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "add18"
  type: "Eltwise"
  bottom: "slice17-0"
  bottom: "slice17-1"
  top: "add18"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool19"
  type: "Pooling"
  bottom: "add18"
  top: "pool19"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv20"
  type: "Convolution"
  bottom: "pool19"
  top: "conv20"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn21"
  type: "BatchNorm"
  bottom: "conv20"
  top: "conv20"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale21"
  type: "Scale"
  bottom: "conv20"
  top: "conv20"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu22"
  type: "ReLU"
  bottom: "conv20"
  top: "conv20"
}
layer {
  name: "conv23"
  type: "Convolution"
  bottom: "conv20"
  top: "conv23"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape25"
  type: "Reshape"
  bottom: "conv23"
  top: "reshape25"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm26"
  type: "Permute"
  bottom: "reshape25"
  top: "perm26"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax27"
  type: "Softmax"
  bottom: "perm26"
  top: "softmax27"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape29"
  type: "Reshape"
  bottom: "softmax27"
  top: "reshape29"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice30"
  type: "Slice"
  bottom: "reshape29"
  top: "slice30-0"
  top: "slice30-1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "mul31"
  type: "Scale"
  bottom: "slice17-0"
  bottom: "slice30-0"
  top: "mul31"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul32"
  type: "Scale"
  bottom: "slice17-1"
  bottom: "slice30-1"
  top: "mul32"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add33"
  type: "Eltwise"
  bottom: "mul31"
  bottom: "mul32"
  top: "add33"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv34"
  type: "Convolution"
  bottom: "add33"
  top: "conv34"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn35"
  type: "BatchNorm"
  bottom: "conv34"
  top: "conv34"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale35"
  type: "Scale"
  bottom: "conv34"
  top: "conv34"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "pool36"
  type: "Pooling"
  bottom: "pool10"
  top: "pool36"
  pooling_param {
    pool: AVE
    kernel_size: 1
    stride: 1
    pad: 0
    round_mode: FLOOR
  }
}
layer {
  name: "conv37"
  type: "Convolution"
  bottom: "pool36"
  top: "conv37"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn38"
  type: "BatchNorm"
  bottom: "conv37"
  top: "conv37"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale38"
  type: "Scale"
  bottom: "conv37"
  top: "conv37"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add39"
  type: "Eltwise"
  bottom: "conv34"
  bottom: "conv37"
  top: "add39"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu40"
  type: "ReLU"
  bottom: "add39"
  top: "add39"
}
layer {
  name: "conv41"
  type: "Convolution"
  bottom: "add39"
  top: "conv41"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn42"
  type: "BatchNorm"
  bottom: "conv41"
  top: "conv41"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale42"
  type: "Scale"
  bottom: "conv41"
  top: "conv41"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu43"
  type: "ReLU"
  bottom: "conv41"
  top: "conv41"
}
layer {
  name: "conv44"
  type: "Convolution"
  bottom: "conv41"
  top: "conv44"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn45"
  type: "BatchNorm"
  bottom: "conv44"
  top: "conv44"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale45"
  type: "Scale"
  bottom: "conv44"
  top: "conv44"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu46"
  type: "ReLU"
  bottom: "conv44"
  top: "conv44"
}
layer {
  name: "slice47"
  type: "Slice"
  bottom: "conv44"
  top: "slice47-0"
  top: "slice47-1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "add48"
  type: "Eltwise"
  bottom: "slice47-0"
  bottom: "slice47-1"
  top: "add48"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool49"
  type: "Pooling"
  bottom: "add48"
  top: "pool49"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv50"
  type: "Convolution"
  bottom: "pool49"
  top: "conv50"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn51"
  type: "BatchNorm"
  bottom: "conv50"
  top: "conv50"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale51"
  type: "Scale"
  bottom: "conv50"
  top: "conv50"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu52"
  type: "ReLU"
  bottom: "conv50"
  top: "conv50"
}
layer {
  name: "conv53"
  type: "Convolution"
  bottom: "conv50"
  top: "conv53"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape55"
  type: "Reshape"
  bottom: "conv53"
  top: "reshape55"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm56"
  type: "Permute"
  bottom: "reshape55"
  top: "perm56"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax57"
  type: "Softmax"
  bottom: "perm56"
  top: "softmax57"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape59"
  type: "Reshape"
  bottom: "softmax57"
  top: "reshape59"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice60"
  type: "Slice"
  bottom: "reshape59"
  top: "slice60-0"
  top: "slice60-1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "mul61"
  type: "Scale"
  bottom: "slice47-0"
  bottom: "slice60-0"
  top: "mul61"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul62"
  type: "Scale"
  bottom: "slice47-1"
  bottom: "slice60-1"
  top: "mul62"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add63"
  type: "Eltwise"
  bottom: "mul61"
  bottom: "mul62"
  top: "add63"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv64"
  type: "Convolution"
  bottom: "add63"
  top: "conv64"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn65"
  type: "BatchNorm"
  bottom: "conv64"
  top: "conv64"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale65"
  type: "Scale"
  bottom: "conv64"
  top: "conv64"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add66"
  type: "Eltwise"
  bottom: "conv64"
  bottom: "add39"
  top: "add66"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu67"
  type: "ReLU"
  bottom: "add66"
  top: "add66"
}
layer {
  name: "conv68"
  type: "Convolution"
  bottom: "add66"
  top: "conv68"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn69"
  type: "BatchNorm"
  bottom: "conv68"
  top: "conv68"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale69"
  type: "Scale"
  bottom: "conv68"
  top: "conv68"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu70"
  type: "ReLU"
  bottom: "conv68"
  top: "conv68"
}
layer {
  name: "conv71"
  type: "Convolution"
  bottom: "conv68"
  top: "conv71"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn72"
  type: "BatchNorm"
  bottom: "conv71"
  top: "conv71"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale72"
  type: "Scale"
  bottom: "conv71"
  top: "conv71"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu73"
  type: "ReLU"
  bottom: "conv71"
  top: "conv71"
}
layer {
  name: "slice74"
  type: "Slice"
  bottom: "conv71"
  top: "slice74-0"
  top: "slice74-1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "add75"
  type: "Eltwise"
  bottom: "slice74-0"
  bottom: "slice74-1"
  top: "add75"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool76"
  type: "Pooling"
  bottom: "add75"
  top: "pool76"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv77"
  type: "Convolution"
  bottom: "pool76"
  top: "conv77"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn78"
  type: "BatchNorm"
  bottom: "conv77"
  top: "conv77"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale78"
  type: "Scale"
  bottom: "conv77"
  top: "conv77"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu79"
  type: "ReLU"
  bottom: "conv77"
  top: "conv77"
}
layer {
  name: "conv80"
  type: "Convolution"
  bottom: "conv77"
  top: "conv80"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape82"
  type: "Reshape"
  bottom: "conv80"
  top: "reshape82"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm83"
  type: "Permute"
  bottom: "reshape82"
  top: "perm83"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax84"
  type: "Softmax"
  bottom: "perm83"
  top: "softmax84"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape86"
  type: "Reshape"
  bottom: "softmax84"
  top: "reshape86"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice87"
  type: "Slice"
  bottom: "reshape86"
  top: "slice87-0"
  top: "slice87-1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "mul88"
  type: "Scale"
  bottom: "slice74-0"
  bottom: "slice87-0"
  top: "mul88"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul89"
  type: "Scale"
  bottom: "slice74-1"
  bottom: "slice87-1"
  top: "mul89"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add90"
  type: "Eltwise"
  bottom: "mul88"
  bottom: "mul89"
  top: "add90"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv91"
  type: "Convolution"
  bottom: "add90"
  top: "conv91"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn92"
  type: "BatchNorm"
  bottom: "conv91"
  top: "conv91"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale92"
  type: "Scale"
  bottom: "conv91"
  top: "conv91"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add93"
  type: "Eltwise"
  bottom: "conv91"
  bottom: "add66"
  top: "add93"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu94"
  type: "ReLU"
  bottom: "add93"
  top: "add93"
}
layer {
  name: "conv95"
  type: "Convolution"
  bottom: "add93"
  top: "conv95"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn96"
  type: "BatchNorm"
  bottom: "conv95"
  top: "conv95"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale96"
  type: "Scale"
  bottom: "conv95"
  top: "conv95"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu97"
  type: "ReLU"
  bottom: "conv95"
  top: "conv95"
}
layer {
  name: "conv98"
  type: "Convolution"
  bottom: "conv95"
  top: "conv98"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn99"
  type: "BatchNorm"
  bottom: "conv98"
  top: "conv98"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale99"
  type: "Scale"
  bottom: "conv98"
  top: "conv98"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu100"
  type: "ReLU"
  bottom: "conv98"
  top: "conv98"
}
layer {
  name: "slice101"
  type: "Slice"
  bottom: "conv98"
  top: "slice101-0"
  top: "slice101-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "add102"
  type: "Eltwise"
  bottom: "slice101-0"
  bottom: "slice101-1"
  top: "add102"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool103"
  type: "Pooling"
  bottom: "add102"
  top: "pool103"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv104"
  type: "Convolution"
  bottom: "pool103"
  top: "conv104"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn105"
  type: "BatchNorm"
  bottom: "conv104"
  top: "conv104"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale105"
  type: "Scale"
  bottom: "conv104"
  top: "conv104"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu106"
  type: "ReLU"
  bottom: "conv104"
  top: "conv104"
}
layer {
  name: "conv107"
  type: "Convolution"
  bottom: "conv104"
  top: "conv107"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape109"
  type: "Reshape"
  bottom: "conv107"
  top: "reshape109"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm110"
  type: "Permute"
  bottom: "reshape109"
  top: "perm110"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax111"
  type: "Softmax"
  bottom: "perm110"
  top: "softmax111"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape113"
  type: "Reshape"
  bottom: "softmax111"
  top: "reshape113"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice114"
  type: "Slice"
  bottom: "reshape113"
  top: "slice114-0"
  top: "slice114-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "mul115"
  type: "Scale"
  bottom: "slice101-0"
  bottom: "slice114-0"
  top: "mul115"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul116"
  type: "Scale"
  bottom: "slice101-1"
  bottom: "slice114-1"
  top: "mul116"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add117"
  type: "Eltwise"
  bottom: "mul115"
  bottom: "mul116"
  top: "add117"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool118"
  type: "Pooling"
  bottom: "add117"
  top: "pool118"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 2
    pad: 1
    round_mode: FLOOR
  }
}
layer {
  name: "conv119"
  type: "Convolution"
  bottom: "pool118"
  top: "conv119"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn120"
  type: "BatchNorm"
  bottom: "conv119"
  top: "conv119"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale120"
  type: "Scale"
  bottom: "conv119"
  top: "conv119"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "pool121"
  type: "Pooling"
  bottom: "add93"
  top: "pool121"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
    pad: 0
  }
}
layer {
  name: "conv122"
  type: "Convolution"
  bottom: "pool121"
  top: "conv122"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn123"
  type: "BatchNorm"
  bottom: "conv122"
  top: "conv122"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale123"
  type: "Scale"
  bottom: "conv122"
  top: "conv122"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add124"
  type: "Eltwise"
  bottom: "conv119"
  bottom: "conv122"
  top: "add124"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu125"
  type: "ReLU"
  bottom: "add124"
  top: "add124"
}
layer {
  name: "conv126"
  type: "Convolution"
  bottom: "add124"
  top: "conv126"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn127"
  type: "BatchNorm"
  bottom: "conv126"
  top: "conv126"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale127"
  type: "Scale"
  bottom: "conv126"
  top: "conv126"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu128"
  type: "ReLU"
  bottom: "conv126"
  top: "conv126"
}
layer {
  name: "conv129"
  type: "Convolution"
  bottom: "conv126"
  top: "conv129"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn130"
  type: "BatchNorm"
  bottom: "conv129"
  top: "conv129"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale130"
  type: "Scale"
  bottom: "conv129"
  top: "conv129"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu131"
  type: "ReLU"
  bottom: "conv129"
  top: "conv129"
}
layer {
  name: "slice132"
  type: "Slice"
  bottom: "conv129"
  top: "slice132-0"
  top: "slice132-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "add133"
  type: "Eltwise"
  bottom: "slice132-0"
  bottom: "slice132-1"
  top: "add133"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool134"
  type: "Pooling"
  bottom: "add133"
  top: "pool134"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv135"
  type: "Convolution"
  bottom: "pool134"
  top: "conv135"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn136"
  type: "BatchNorm"
  bottom: "conv135"
  top: "conv135"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale136"
  type: "Scale"
  bottom: "conv135"
  top: "conv135"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu137"
  type: "ReLU"
  bottom: "conv135"
  top: "conv135"
}
layer {
  name: "conv138"
  type: "Convolution"
  bottom: "conv135"
  top: "conv138"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape140"
  type: "Reshape"
  bottom: "conv138"
  top: "reshape140"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm141"
  type: "Permute"
  bottom: "reshape140"
  top: "perm141"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax142"
  type: "Softmax"
  bottom: "perm141"
  top: "softmax142"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape144"
  type: "Reshape"
  bottom: "softmax142"
  top: "reshape144"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice145"
  type: "Slice"
  bottom: "reshape144"
  top: "slice145-0"
  top: "slice145-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "mul146"
  type: "Scale"
  bottom: "slice132-0"
  bottom: "slice145-0"
  top: "mul146"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul147"
  type: "Scale"
  bottom: "slice132-1"
  bottom: "slice145-1"
  top: "mul147"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add148"
  type: "Eltwise"
  bottom: "mul146"
  bottom: "mul147"
  top: "add148"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv149"
  type: "Convolution"
  bottom: "add148"
  top: "conv149"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn150"
  type: "BatchNorm"
  bottom: "conv149"
  top: "conv149"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale150"
  type: "Scale"
  bottom: "conv149"
  top: "conv149"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add151"
  type: "Eltwise"
  bottom: "conv149"
  bottom: "add124"
  top: "add151"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu152"
  type: "ReLU"
  bottom: "add151"
  top: "add151"
}
layer {
  name: "conv153"
  type: "Convolution"
  bottom: "add151"
  top: "conv153"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn154"
  type: "BatchNorm"
  bottom: "conv153"
  top: "conv153"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale154"
  type: "Scale"
  bottom: "conv153"
  top: "conv153"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu155"
  type: "ReLU"
  bottom: "conv153"
  top: "conv153"
}
layer {
  name: "conv156"
  type: "Convolution"
  bottom: "conv153"
  top: "conv156"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn157"
  type: "BatchNorm"
  bottom: "conv156"
  top: "conv156"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale157"
  type: "Scale"
  bottom: "conv156"
  top: "conv156"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu158"
  type: "ReLU"
  bottom: "conv156"
  top: "conv156"
}
layer {
  name: "slice159"
  type: "Slice"
  bottom: "conv156"
  top: "slice159-0"
  top: "slice159-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "add160"
  type: "Eltwise"
  bottom: "slice159-0"
  bottom: "slice159-1"
  top: "add160"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool161"
  type: "Pooling"
  bottom: "add160"
  top: "pool161"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv162"
  type: "Convolution"
  bottom: "pool161"
  top: "conv162"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn163"
  type: "BatchNorm"
  bottom: "conv162"
  top: "conv162"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale163"
  type: "Scale"
  bottom: "conv162"
  top: "conv162"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu164"
  type: "ReLU"
  bottom: "conv162"
  top: "conv162"
}
layer {
  name: "conv165"
  type: "Convolution"
  bottom: "conv162"
  top: "conv165"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape167"
  type: "Reshape"
  bottom: "conv165"
  top: "reshape167"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm168"
  type: "Permute"
  bottom: "reshape167"
  top: "perm168"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax169"
  type: "Softmax"
  bottom: "perm168"
  top: "softmax169"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape171"
  type: "Reshape"
  bottom: "softmax169"
  top: "reshape171"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice172"
  type: "Slice"
  bottom: "reshape171"
  top: "slice172-0"
  top: "slice172-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "mul173"
  type: "Scale"
  bottom: "slice159-0"
  bottom: "slice172-0"
  top: "mul173"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul174"
  type: "Scale"
  bottom: "slice159-1"
  bottom: "slice172-1"
  top: "mul174"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add175"
  type: "Eltwise"
  bottom: "mul173"
  bottom: "mul174"
  top: "add175"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv176"
  type: "Convolution"
  bottom: "add175"
  top: "conv176"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn177"
  type: "BatchNorm"
  bottom: "conv176"
  top: "conv176"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale177"
  type: "Scale"
  bottom: "conv176"
  top: "conv176"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add178"
  type: "Eltwise"
  bottom: "conv176"
  bottom: "add151"
  top: "add178"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu179"
  type: "ReLU"
  bottom: "add178"
  top: "add178"
}
layer {
  name: "conv180"
  type: "Convolution"
  bottom: "add178"
  top: "conv180"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn181"
  type: "BatchNorm"
  bottom: "conv180"
  top: "conv180"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale181"
  type: "Scale"
  bottom: "conv180"
  top: "conv180"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu182"
  type: "ReLU"
  bottom: "conv180"
  top: "conv180"
}
layer {
  name: "conv183"
  type: "Convolution"
  bottom: "conv180"
  top: "conv183"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn184"
  type: "BatchNorm"
  bottom: "conv183"
  top: "conv183"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale184"
  type: "Scale"
  bottom: "conv183"
  top: "conv183"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu185"
  type: "ReLU"
  bottom: "conv183"
  top: "conv183"
}
layer {
  name: "slice186"
  type: "Slice"
  bottom: "conv183"
  top: "slice186-0"
  top: "slice186-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "add187"
  type: "Eltwise"
  bottom: "slice186-0"
  bottom: "slice186-1"
  top: "add187"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool188"
  type: "Pooling"
  bottom: "add187"
  top: "pool188"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv189"
  type: "Convolution"
  bottom: "pool188"
  top: "conv189"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn190"
  type: "BatchNorm"
  bottom: "conv189"
  top: "conv189"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale190"
  type: "Scale"
  bottom: "conv189"
  top: "conv189"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu191"
  type: "ReLU"
  bottom: "conv189"
  top: "conv189"
}
layer {
  name: "conv192"
  type: "Convolution"
  bottom: "conv189"
  top: "conv192"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape194"
  type: "Reshape"
  bottom: "conv192"
  top: "reshape194"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm195"
  type: "Permute"
  bottom: "reshape194"
  top: "perm195"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax196"
  type: "Softmax"
  bottom: "perm195"
  top: "softmax196"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape198"
  type: "Reshape"
  bottom: "softmax196"
  top: "reshape198"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice199"
  type: "Slice"
  bottom: "reshape198"
  top: "slice199-0"
  top: "slice199-1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "mul200"
  type: "Scale"
  bottom: "slice186-0"
  bottom: "slice199-0"
  top: "mul200"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul201"
  type: "Scale"
  bottom: "slice186-1"
  bottom: "slice199-1"
  top: "mul201"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add202"
  type: "Eltwise"
  bottom: "mul200"
  bottom: "mul201"
  top: "add202"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv203"
  type: "Convolution"
  bottom: "add202"
  top: "conv203"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn204"
  type: "BatchNorm"
  bottom: "conv203"
  top: "conv203"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale204"
  type: "Scale"
  bottom: "conv203"
  top: "conv203"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add205"
  type: "Eltwise"
  bottom: "conv203"
  bottom: "add178"
  top: "add205"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu206"
  type: "ReLU"
  bottom: "add205"
  top: "add205"
}
layer {
  name: "conv207"
  type: "Convolution"
  bottom: "add205"
  top: "conv207"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn208"
  type: "BatchNorm"
  bottom: "conv207"
  top: "conv207"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale208"
  type: "Scale"
  bottom: "conv207"
  top: "conv207"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu209"
  type: "ReLU"
  bottom: "conv207"
  top: "conv207"
}
layer {
  name: "conv210"
  type: "Convolution"
  bottom: "conv207"
  top: "conv210"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn211"
  type: "BatchNorm"
  bottom: "conv210"
  top: "conv210"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale211"
  type: "Scale"
  bottom: "conv210"
  top: "conv210"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu212"
  type: "ReLU"
  bottom: "conv210"
  top: "conv210"
}
layer {
  name: "slice213"
  type: "Slice"
  bottom: "conv210"
  top: "slice213-0"
  top: "slice213-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add214"
  type: "Eltwise"
  bottom: "slice213-0"
  bottom: "slice213-1"
  top: "add214"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool215"
  type: "Pooling"
  bottom: "add214"
  top: "pool215"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv216"
  type: "Convolution"
  bottom: "pool215"
  top: "conv216"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn217"
  type: "BatchNorm"
  bottom: "conv216"
  top: "conv216"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale217"
  type: "Scale"
  bottom: "conv216"
  top: "conv216"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu218"
  type: "ReLU"
  bottom: "conv216"
  top: "conv216"
}
layer {
  name: "conv219"
  type: "Convolution"
  bottom: "conv216"
  top: "conv219"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape221"
  type: "Reshape"
  bottom: "conv219"
  top: "reshape221"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm222"
  type: "Permute"
  bottom: "reshape221"
  top: "perm222"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax223"
  type: "Softmax"
  bottom: "perm222"
  top: "softmax223"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape225"
  type: "Reshape"
  bottom: "softmax223"
  top: "reshape225"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice226"
  type: "Slice"
  bottom: "reshape225"
  top: "slice226-0"
  top: "slice226-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul227"
  type: "Scale"
  bottom: "slice213-0"
  bottom: "slice226-0"
  top: "mul227"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul228"
  type: "Scale"
  bottom: "slice213-1"
  bottom: "slice226-1"
  top: "mul228"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add229"
  type: "Eltwise"
  bottom: "mul227"
  bottom: "mul228"
  top: "add229"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool230"
  type: "Pooling"
  bottom: "add229"
  top: "pool230"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 2
    pad: 1
    round_mode: FLOOR
  }
}
layer {
  name: "conv231"
  type: "Convolution"
  bottom: "pool230"
  top: "conv231"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn232"
  type: "BatchNorm"
  bottom: "conv231"
  top: "conv231"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale232"
  type: "Scale"
  bottom: "conv231"
  top: "conv231"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "pool233"
  type: "Pooling"
  bottom: "add205"
  top: "pool233"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
    pad: 0
  }
}
layer {
  name: "conv234"
  type: "Convolution"
  bottom: "pool233"
  top: "conv234"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn235"
  type: "BatchNorm"
  bottom: "conv234"
  top: "conv234"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale235"
  type: "Scale"
  bottom: "conv234"
  top: "conv234"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add236"
  type: "Eltwise"
  bottom: "conv231"
  bottom: "conv234"
  top: "add236"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu237"
  type: "ReLU"
  bottom: "add236"
  top: "add236"
}
layer {
  name: "conv238"
  type: "Convolution"
  bottom: "add236"
  top: "conv238"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn239"
  type: "BatchNorm"
  bottom: "conv238"
  top: "conv238"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale239"
  type: "Scale"
  bottom: "conv238"
  top: "conv238"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu240"
  type: "ReLU"
  bottom: "conv238"
  top: "conv238"
}
layer {
  name: "conv241"
  type: "Convolution"
  bottom: "conv238"
  top: "conv241"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn242"
  type: "BatchNorm"
  bottom: "conv241"
  top: "conv241"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale242"
  type: "Scale"
  bottom: "conv241"
  top: "conv241"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu243"
  type: "ReLU"
  bottom: "conv241"
  top: "conv241"
}
layer {
  name: "slice244"
  type: "Slice"
  bottom: "conv241"
  top: "slice244-0"
  top: "slice244-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add245"
  type: "Eltwise"
  bottom: "slice244-0"
  bottom: "slice244-1"
  top: "add245"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool246"
  type: "Pooling"
  bottom: "add245"
  top: "pool246"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv247"
  type: "Convolution"
  bottom: "pool246"
  top: "conv247"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn248"
  type: "BatchNorm"
  bottom: "conv247"
  top: "conv247"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale248"
  type: "Scale"
  bottom: "conv247"
  top: "conv247"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu249"
  type: "ReLU"
  bottom: "conv247"
  top: "conv247"
}
layer {
  name: "conv250"
  type: "Convolution"
  bottom: "conv247"
  top: "conv250"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape252"
  type: "Reshape"
  bottom: "conv250"
  top: "reshape252"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm253"
  type: "Permute"
  bottom: "reshape252"
  top: "perm253"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax254"
  type: "Softmax"
  bottom: "perm253"
  top: "softmax254"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape256"
  type: "Reshape"
  bottom: "softmax254"
  top: "reshape256"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice257"
  type: "Slice"
  bottom: "reshape256"
  top: "slice257-0"
  top: "slice257-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul258"
  type: "Scale"
  bottom: "slice244-0"
  bottom: "slice257-0"
  top: "mul258"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul259"
  type: "Scale"
  bottom: "slice244-1"
  bottom: "slice257-1"
  top: "mul259"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add260"
  type: "Eltwise"
  bottom: "mul258"
  bottom: "mul259"
  top: "add260"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv261"
  type: "Convolution"
  bottom: "add260"
  top: "conv261"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn262"
  type: "BatchNorm"
  bottom: "conv261"
  top: "conv261"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale262"
  type: "Scale"
  bottom: "conv261"
  top: "conv261"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add263"
  type: "Eltwise"
  bottom: "conv261"
  bottom: "add236"
  top: "add263"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu264"
  type: "ReLU"
  bottom: "add263"
  top: "add263"
}
layer {
  name: "conv265"
  type: "Convolution"
  bottom: "add263"
  top: "conv265"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn266"
  type: "BatchNorm"
  bottom: "conv265"
  top: "conv265"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale266"
  type: "Scale"
  bottom: "conv265"
  top: "conv265"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu267"
  type: "ReLU"
  bottom: "conv265"
  top: "conv265"
}
layer {
  name: "conv268"
  type: "Convolution"
  bottom: "conv265"
  top: "conv268"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn269"
  type: "BatchNorm"
  bottom: "conv268"
  top: "conv268"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale269"
  type: "Scale"
  bottom: "conv268"
  top: "conv268"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu270"
  type: "ReLU"
  bottom: "conv268"
  top: "conv268"
}
layer {
  name: "slice271"
  type: "Slice"
  bottom: "conv268"
  top: "slice271-0"
  top: "slice271-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add272"
  type: "Eltwise"
  bottom: "slice271-0"
  bottom: "slice271-1"
  top: "add272"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool273"
  type: "Pooling"
  bottom: "add272"
  top: "pool273"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv274"
  type: "Convolution"
  bottom: "pool273"
  top: "conv274"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn275"
  type: "BatchNorm"
  bottom: "conv274"
  top: "conv274"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale275"
  type: "Scale"
  bottom: "conv274"
  top: "conv274"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu276"
  type: "ReLU"
  bottom: "conv274"
  top: "conv274"
}
layer {
  name: "conv277"
  type: "Convolution"
  bottom: "conv274"
  top: "conv277"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape279"
  type: "Reshape"
  bottom: "conv277"
  top: "reshape279"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm280"
  type: "Permute"
  bottom: "reshape279"
  top: "perm280"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax281"
  type: "Softmax"
  bottom: "perm280"
  top: "softmax281"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape283"
  type: "Reshape"
  bottom: "softmax281"
  top: "reshape283"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice284"
  type: "Slice"
  bottom: "reshape283"
  top: "slice284-0"
  top: "slice284-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul285"
  type: "Scale"
  bottom: "slice271-0"
  bottom: "slice284-0"
  top: "mul285"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul286"
  type: "Scale"
  bottom: "slice271-1"
  bottom: "slice284-1"
  top: "mul286"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add287"
  type: "Eltwise"
  bottom: "mul285"
  bottom: "mul286"
  top: "add287"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv288"
  type: "Convolution"
  bottom: "add287"
  top: "conv288"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn289"
  type: "BatchNorm"
  bottom: "conv288"
  top: "conv288"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale289"
  type: "Scale"
  bottom: "conv288"
  top: "conv288"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add290"
  type: "Eltwise"
  bottom: "conv288"
  bottom: "add263"
  top: "add290"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu291"
  type: "ReLU"
  bottom: "add290"
  top: "add290"
}
layer {
  name: "conv292"
  type: "Convolution"
  bottom: "add290"
  top: "conv292"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn293"
  type: "BatchNorm"
  bottom: "conv292"
  top: "conv292"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale293"
  type: "Scale"
  bottom: "conv292"
  top: "conv292"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu294"
  type: "ReLU"
  bottom: "conv292"
  top: "conv292"
}
layer {
  name: "conv295"
  type: "Convolution"
  bottom: "conv292"
  top: "conv295"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn296"
  type: "BatchNorm"
  bottom: "conv295"
  top: "conv295"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale296"
  type: "Scale"
  bottom: "conv295"
  top: "conv295"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu297"
  type: "ReLU"
  bottom: "conv295"
  top: "conv295"
}
layer {
  name: "slice298"
  type: "Slice"
  bottom: "conv295"
  top: "slice298-0"
  top: "slice298-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add299"
  type: "Eltwise"
  bottom: "slice298-0"
  bottom: "slice298-1"
  top: "add299"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool300"
  type: "Pooling"
  bottom: "add299"
  top: "pool300"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv301"
  type: "Convolution"
  bottom: "pool300"
  top: "conv301"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn302"
  type: "BatchNorm"
  bottom: "conv301"
  top: "conv301"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale302"
  type: "Scale"
  bottom: "conv301"
  top: "conv301"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu303"
  type: "ReLU"
  bottom: "conv301"
  top: "conv301"
}
layer {
  name: "conv304"
  type: "Convolution"
  bottom: "conv301"
  top: "conv304"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape306"
  type: "Reshape"
  bottom: "conv304"
  top: "reshape306"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm307"
  type: "Permute"
  bottom: "reshape306"
  top: "perm307"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax308"
  type: "Softmax"
  bottom: "perm307"
  top: "softmax308"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape310"
  type: "Reshape"
  bottom: "softmax308"
  top: "reshape310"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice311"
  type: "Slice"
  bottom: "reshape310"
  top: "slice311-0"
  top: "slice311-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul312"
  type: "Scale"
  bottom: "slice298-0"
  bottom: "slice311-0"
  top: "mul312"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul313"
  type: "Scale"
  bottom: "slice298-1"
  bottom: "slice311-1"
  top: "mul313"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add314"
  type: "Eltwise"
  bottom: "mul312"
  bottom: "mul313"
  top: "add314"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv315"
  type: "Convolution"
  bottom: "add314"
  top: "conv315"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn316"
  type: "BatchNorm"
  bottom: "conv315"
  top: "conv315"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale316"
  type: "Scale"
  bottom: "conv315"
  top: "conv315"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add317"
  type: "Eltwise"
  bottom: "conv315"
  bottom: "add290"
  top: "add317"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu318"
  type: "ReLU"
  bottom: "add317"
  top: "add317"
}
layer {
  name: "conv319"
  type: "Convolution"
  bottom: "add317"
  top: "conv319"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn320"
  type: "BatchNorm"
  bottom: "conv319"
  top: "conv319"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale320"
  type: "Scale"
  bottom: "conv319"
  top: "conv319"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu321"
  type: "ReLU"
  bottom: "conv319"
  top: "conv319"
}
layer {
  name: "conv322"
  type: "Convolution"
  bottom: "conv319"
  top: "conv322"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn323"
  type: "BatchNorm"
  bottom: "conv322"
  top: "conv322"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale323"
  type: "Scale"
  bottom: "conv322"
  top: "conv322"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu324"
  type: "ReLU"
  bottom: "conv322"
  top: "conv322"
}
layer {
  name: "slice325"
  type: "Slice"
  bottom: "conv322"
  top: "slice325-0"
  top: "slice325-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add326"
  type: "Eltwise"
  bottom: "slice325-0"
  bottom: "slice325-1"
  top: "add326"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool327"
  type: "Pooling"
  bottom: "add326"
  top: "pool327"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv328"
  type: "Convolution"
  bottom: "pool327"
  top: "conv328"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn329"
  type: "BatchNorm"
  bottom: "conv328"
  top: "conv328"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale329"
  type: "Scale"
  bottom: "conv328"
  top: "conv328"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu330"
  type: "ReLU"
  bottom: "conv328"
  top: "conv328"
}
layer {
  name: "conv331"
  type: "Convolution"
  bottom: "conv328"
  top: "conv331"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape333"
  type: "Reshape"
  bottom: "conv331"
  top: "reshape333"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm334"
  type: "Permute"
  bottom: "reshape333"
  top: "perm334"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax335"
  type: "Softmax"
  bottom: "perm334"
  top: "softmax335"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape337"
  type: "Reshape"
  bottom: "softmax335"
  top: "reshape337"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice338"
  type: "Slice"
  bottom: "reshape337"
  top: "slice338-0"
  top: "slice338-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul339"
  type: "Scale"
  bottom: "slice325-0"
  bottom: "slice338-0"
  top: "mul339"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul340"
  type: "Scale"
  bottom: "slice325-1"
  bottom: "slice338-1"
  top: "mul340"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add341"
  type: "Eltwise"
  bottom: "mul339"
  bottom: "mul340"
  top: "add341"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv342"
  type: "Convolution"
  bottom: "add341"
  top: "conv342"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn343"
  type: "BatchNorm"
  bottom: "conv342"
  top: "conv342"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale343"
  type: "Scale"
  bottom: "conv342"
  top: "conv342"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add344"
  type: "Eltwise"
  bottom: "conv342"
  bottom: "add317"
  top: "add344"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu345"
  type: "ReLU"
  bottom: "add344"
  top: "add344"
}
layer {
  name: "conv346"
  type: "Convolution"
  bottom: "add344"
  top: "conv346"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn347"
  type: "BatchNorm"
  bottom: "conv346"
  top: "conv346"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale347"
  type: "Scale"
  bottom: "conv346"
  top: "conv346"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu348"
  type: "ReLU"
  bottom: "conv346"
  top: "conv346"
}
layer {
  name: "conv349"
  type: "Convolution"
  bottom: "conv346"
  top: "conv349"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn350"
  type: "BatchNorm"
  bottom: "conv349"
  top: "conv349"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale350"
  type: "Scale"
  bottom: "conv349"
  top: "conv349"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu351"
  type: "ReLU"
  bottom: "conv349"
  top: "conv349"
}
layer {
  name: "slice352"
  type: "Slice"
  bottom: "conv349"
  top: "slice352-0"
  top: "slice352-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add353"
  type: "Eltwise"
  bottom: "slice352-0"
  bottom: "slice352-1"
  top: "add353"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool354"
  type: "Pooling"
  bottom: "add353"
  top: "pool354"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv355"
  type: "Convolution"
  bottom: "pool354"
  top: "conv355"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn356"
  type: "BatchNorm"
  bottom: "conv355"
  top: "conv355"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale356"
  type: "Scale"
  bottom: "conv355"
  top: "conv355"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu357"
  type: "ReLU"
  bottom: "conv355"
  top: "conv355"
}
layer {
  name: "conv358"
  type: "Convolution"
  bottom: "conv355"
  top: "conv358"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape360"
  type: "Reshape"
  bottom: "conv358"
  top: "reshape360"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm361"
  type: "Permute"
  bottom: "reshape360"
  top: "perm361"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax362"
  type: "Softmax"
  bottom: "perm361"
  top: "softmax362"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape364"
  type: "Reshape"
  bottom: "softmax362"
  top: "reshape364"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice365"
  type: "Slice"
  bottom: "reshape364"
  top: "slice365-0"
  top: "slice365-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul366"
  type: "Scale"
  bottom: "slice352-0"
  bottom: "slice365-0"
  top: "mul366"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul367"
  type: "Scale"
  bottom: "slice352-1"
  bottom: "slice365-1"
  top: "mul367"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add368"
  type: "Eltwise"
  bottom: "mul366"
  bottom: "mul367"
  top: "add368"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv369"
  type: "Convolution"
  bottom: "add368"
  top: "conv369"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn370"
  type: "BatchNorm"
  bottom: "conv369"
  top: "conv369"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale370"
  type: "Scale"
  bottom: "conv369"
  top: "conv369"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add371"
  type: "Eltwise"
  bottom: "conv369"
  bottom: "add344"
  top: "add371"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu372"
  type: "ReLU"
  bottom: "add371"
  top: "add371"
}
layer {
  name: "conv373"
  type: "Convolution"
  bottom: "add371"
  top: "conv373"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn374"
  type: "BatchNorm"
  bottom: "conv373"
  top: "conv373"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale374"
  type: "Scale"
  bottom: "conv373"
  top: "conv373"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu375"
  type: "ReLU"
  bottom: "conv373"
  top: "conv373"
}
layer {
  name: "conv376"
  type: "Convolution"
  bottom: "conv373"
  top: "conv376"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn377"
  type: "BatchNorm"
  bottom: "conv376"
  top: "conv376"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale377"
  type: "Scale"
  bottom: "conv376"
  top: "conv376"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu378"
  type: "ReLU"
  bottom: "conv376"
  top: "conv376"
}
layer {
  name: "slice379"
  type: "Slice"
  bottom: "conv376"
  top: "slice379-0"
  top: "slice379-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add380"
  type: "Eltwise"
  bottom: "slice379-0"
  bottom: "slice379-1"
  top: "add380"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool381"
  type: "Pooling"
  bottom: "add380"
  top: "pool381"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv382"
  type: "Convolution"
  bottom: "pool381"
  top: "conv382"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn383"
  type: "BatchNorm"
  bottom: "conv382"
  top: "conv382"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale383"
  type: "Scale"
  bottom: "conv382"
  top: "conv382"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu384"
  type: "ReLU"
  bottom: "conv382"
  top: "conv382"
}
layer {
  name: "conv385"
  type: "Convolution"
  bottom: "conv382"
  top: "conv385"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape387"
  type: "Reshape"
  bottom: "conv385"
  top: "reshape387"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm388"
  type: "Permute"
  bottom: "reshape387"
  top: "perm388"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax389"
  type: "Softmax"
  bottom: "perm388"
  top: "softmax389"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape391"
  type: "Reshape"
  bottom: "softmax389"
  top: "reshape391"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice392"
  type: "Slice"
  bottom: "reshape391"
  top: "slice392-0"
  top: "slice392-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul393"
  type: "Scale"
  bottom: "slice379-0"
  bottom: "slice392-0"
  top: "mul393"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul394"
  type: "Scale"
  bottom: "slice379-1"
  bottom: "slice392-1"
  top: "mul394"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add395"
  type: "Eltwise"
  bottom: "mul393"
  bottom: "mul394"
  top: "add395"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv396"
  type: "Convolution"
  bottom: "add395"
  top: "conv396"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn397"
  type: "BatchNorm"
  bottom: "conv396"
  top: "conv396"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale397"
  type: "Scale"
  bottom: "conv396"
  top: "conv396"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add398"
  type: "Eltwise"
  bottom: "conv396"
  bottom: "add371"
  top: "add398"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu399"
  type: "ReLU"
  bottom: "add398"
  top: "add398"
}
layer {
  name: "conv400"
  type: "Convolution"
  bottom: "add398"
  top: "conv400"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn401"
  type: "BatchNorm"
  bottom: "conv400"
  top: "conv400"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale401"
  type: "Scale"
  bottom: "conv400"
  top: "conv400"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu402"
  type: "ReLU"
  bottom: "conv400"
  top: "conv400"
}
layer {
  name: "conv403"
  type: "Convolution"
  bottom: "conv400"
  top: "conv403"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn404"
  type: "BatchNorm"
  bottom: "conv403"
  top: "conv403"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale404"
  type: "Scale"
  bottom: "conv403"
  top: "conv403"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu405"
  type: "ReLU"
  bottom: "conv403"
  top: "conv403"
}
layer {
  name: "slice406"
  type: "Slice"
  bottom: "conv403"
  top: "slice406-0"
  top: "slice406-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add407"
  type: "Eltwise"
  bottom: "slice406-0"
  bottom: "slice406-1"
  top: "add407"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool408"
  type: "Pooling"
  bottom: "add407"
  top: "pool408"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv409"
  type: "Convolution"
  bottom: "pool408"
  top: "conv409"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn410"
  type: "BatchNorm"
  bottom: "conv409"
  top: "conv409"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale410"
  type: "Scale"
  bottom: "conv409"
  top: "conv409"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu411"
  type: "ReLU"
  bottom: "conv409"
  top: "conv409"
}
layer {
  name: "conv412"
  type: "Convolution"
  bottom: "conv409"
  top: "conv412"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape414"
  type: "Reshape"
  bottom: "conv412"
  top: "reshape414"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm415"
  type: "Permute"
  bottom: "reshape414"
  top: "perm415"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax416"
  type: "Softmax"
  bottom: "perm415"
  top: "softmax416"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape418"
  type: "Reshape"
  bottom: "softmax416"
  top: "reshape418"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice419"
  type: "Slice"
  bottom: "reshape418"
  top: "slice419-0"
  top: "slice419-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul420"
  type: "Scale"
  bottom: "slice406-0"
  bottom: "slice419-0"
  top: "mul420"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul421"
  type: "Scale"
  bottom: "slice406-1"
  bottom: "slice419-1"
  top: "mul421"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add422"
  type: "Eltwise"
  bottom: "mul420"
  bottom: "mul421"
  top: "add422"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv423"
  type: "Convolution"
  bottom: "add422"
  top: "conv423"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn424"
  type: "BatchNorm"
  bottom: "conv423"
  top: "conv423"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale424"
  type: "Scale"
  bottom: "conv423"
  top: "conv423"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add425"
  type: "Eltwise"
  bottom: "conv423"
  bottom: "add398"
  top: "add425"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu426"
  type: "ReLU"
  bottom: "add425"
  top: "add425"
}
layer {
  name: "conv427"
  type: "Convolution"
  bottom: "add425"
  top: "conv427"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn428"
  type: "BatchNorm"
  bottom: "conv427"
  top: "conv427"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale428"
  type: "Scale"
  bottom: "conv427"
  top: "conv427"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu429"
  type: "ReLU"
  bottom: "conv427"
  top: "conv427"
}
layer {
  name: "conv430"
  type: "Convolution"
  bottom: "conv427"
  top: "conv430"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn431"
  type: "BatchNorm"
  bottom: "conv430"
  top: "conv430"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale431"
  type: "Scale"
  bottom: "conv430"
  top: "conv430"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu432"
  type: "ReLU"
  bottom: "conv430"
  top: "conv430"
}
layer {
  name: "slice433"
  type: "Slice"
  bottom: "conv430"
  top: "slice433-0"
  top: "slice433-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add434"
  type: "Eltwise"
  bottom: "slice433-0"
  bottom: "slice433-1"
  top: "add434"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool435"
  type: "Pooling"
  bottom: "add434"
  top: "pool435"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv436"
  type: "Convolution"
  bottom: "pool435"
  top: "conv436"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn437"
  type: "BatchNorm"
  bottom: "conv436"
  top: "conv436"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale437"
  type: "Scale"
  bottom: "conv436"
  top: "conv436"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu438"
  type: "ReLU"
  bottom: "conv436"
  top: "conv436"
}
layer {
  name: "conv439"
  type: "Convolution"
  bottom: "conv436"
  top: "conv439"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape441"
  type: "Reshape"
  bottom: "conv439"
  top: "reshape441"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm442"
  type: "Permute"
  bottom: "reshape441"
  top: "perm442"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax443"
  type: "Softmax"
  bottom: "perm442"
  top: "softmax443"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape445"
  type: "Reshape"
  bottom: "softmax443"
  top: "reshape445"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice446"
  type: "Slice"
  bottom: "reshape445"
  top: "slice446-0"
  top: "slice446-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul447"
  type: "Scale"
  bottom: "slice433-0"
  bottom: "slice446-0"
  top: "mul447"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul448"
  type: "Scale"
  bottom: "slice433-1"
  bottom: "slice446-1"
  top: "mul448"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add449"
  type: "Eltwise"
  bottom: "mul447"
  bottom: "mul448"
  top: "add449"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv450"
  type: "Convolution"
  bottom: "add449"
  top: "conv450"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn451"
  type: "BatchNorm"
  bottom: "conv450"
  top: "conv450"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale451"
  type: "Scale"
  bottom: "conv450"
  top: "conv450"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add452"
  type: "Eltwise"
  bottom: "conv450"
  bottom: "add425"
  top: "add452"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu453"
  type: "ReLU"
  bottom: "add452"
  top: "add452"
}
layer {
  name: "conv454"
  type: "Convolution"
  bottom: "add452"
  top: "conv454"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn455"
  type: "BatchNorm"
  bottom: "conv454"
  top: "conv454"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale455"
  type: "Scale"
  bottom: "conv454"
  top: "conv454"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu456"
  type: "ReLU"
  bottom: "conv454"
  top: "conv454"
}
layer {
  name: "conv457"
  type: "Convolution"
  bottom: "conv454"
  top: "conv457"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn458"
  type: "BatchNorm"
  bottom: "conv457"
  top: "conv457"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale458"
  type: "Scale"
  bottom: "conv457"
  top: "conv457"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu459"
  type: "ReLU"
  bottom: "conv457"
  top: "conv457"
}
layer {
  name: "slice460"
  type: "Slice"
  bottom: "conv457"
  top: "slice460-0"
  top: "slice460-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add461"
  type: "Eltwise"
  bottom: "slice460-0"
  bottom: "slice460-1"
  top: "add461"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool462"
  type: "Pooling"
  bottom: "add461"
  top: "pool462"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv463"
  type: "Convolution"
  bottom: "pool462"
  top: "conv463"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn464"
  type: "BatchNorm"
  bottom: "conv463"
  top: "conv463"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale464"
  type: "Scale"
  bottom: "conv463"
  top: "conv463"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu465"
  type: "ReLU"
  bottom: "conv463"
  top: "conv463"
}
layer {
  name: "conv466"
  type: "Convolution"
  bottom: "conv463"
  top: "conv466"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape468"
  type: "Reshape"
  bottom: "conv466"
  top: "reshape468"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm469"
  type: "Permute"
  bottom: "reshape468"
  top: "perm469"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax470"
  type: "Softmax"
  bottom: "perm469"
  top: "softmax470"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape472"
  type: "Reshape"
  bottom: "softmax470"
  top: "reshape472"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice473"
  type: "Slice"
  bottom: "reshape472"
  top: "slice473-0"
  top: "slice473-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul474"
  type: "Scale"
  bottom: "slice460-0"
  bottom: "slice473-0"
  top: "mul474"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul475"
  type: "Scale"
  bottom: "slice460-1"
  bottom: "slice473-1"
  top: "mul475"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add476"
  type: "Eltwise"
  bottom: "mul474"
  bottom: "mul475"
  top: "add476"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv477"
  type: "Convolution"
  bottom: "add476"
  top: "conv477"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn478"
  type: "BatchNorm"
  bottom: "conv477"
  top: "conv477"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale478"
  type: "Scale"
  bottom: "conv477"
  top: "conv477"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add479"
  type: "Eltwise"
  bottom: "conv477"
  bottom: "add452"
  top: "add479"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu480"
  type: "ReLU"
  bottom: "add479"
  top: "add479"
}
layer {
  name: "conv481"
  type: "Convolution"
  bottom: "add479"
  top: "conv481"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn482"
  type: "BatchNorm"
  bottom: "conv481"
  top: "conv481"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale482"
  type: "Scale"
  bottom: "conv481"
  top: "conv481"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu483"
  type: "ReLU"
  bottom: "conv481"
  top: "conv481"
}
layer {
  name: "conv484"
  type: "Convolution"
  bottom: "conv481"
  top: "conv484"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn485"
  type: "BatchNorm"
  bottom: "conv484"
  top: "conv484"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale485"
  type: "Scale"
  bottom: "conv484"
  top: "conv484"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu486"
  type: "ReLU"
  bottom: "conv484"
  top: "conv484"
}
layer {
  name: "slice487"
  type: "Slice"
  bottom: "conv484"
  top: "slice487-0"
  top: "slice487-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add488"
  type: "Eltwise"
  bottom: "slice487-0"
  bottom: "slice487-1"
  top: "add488"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool489"
  type: "Pooling"
  bottom: "add488"
  top: "pool489"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv490"
  type: "Convolution"
  bottom: "pool489"
  top: "conv490"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn491"
  type: "BatchNorm"
  bottom: "conv490"
  top: "conv490"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale491"
  type: "Scale"
  bottom: "conv490"
  top: "conv490"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu492"
  type: "ReLU"
  bottom: "conv490"
  top: "conv490"
}
layer {
  name: "conv493"
  type: "Convolution"
  bottom: "conv490"
  top: "conv493"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape495"
  type: "Reshape"
  bottom: "conv493"
  top: "reshape495"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm496"
  type: "Permute"
  bottom: "reshape495"
  top: "perm496"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax497"
  type: "Softmax"
  bottom: "perm496"
  top: "softmax497"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape499"
  type: "Reshape"
  bottom: "softmax497"
  top: "reshape499"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice500"
  type: "Slice"
  bottom: "reshape499"
  top: "slice500-0"
  top: "slice500-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul501"
  type: "Scale"
  bottom: "slice487-0"
  bottom: "slice500-0"
  top: "mul501"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul502"
  type: "Scale"
  bottom: "slice487-1"
  bottom: "slice500-1"
  top: "mul502"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add503"
  type: "Eltwise"
  bottom: "mul501"
  bottom: "mul502"
  top: "add503"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv504"
  type: "Convolution"
  bottom: "add503"
  top: "conv504"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn505"
  type: "BatchNorm"
  bottom: "conv504"
  top: "conv504"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale505"
  type: "Scale"
  bottom: "conv504"
  top: "conv504"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add506"
  type: "Eltwise"
  bottom: "conv504"
  bottom: "add479"
  top: "add506"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu507"
  type: "ReLU"
  bottom: "add506"
  top: "add506"
}
layer {
  name: "conv508"
  type: "Convolution"
  bottom: "add506"
  top: "conv508"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn509"
  type: "BatchNorm"
  bottom: "conv508"
  top: "conv508"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale509"
  type: "Scale"
  bottom: "conv508"
  top: "conv508"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu510"
  type: "ReLU"
  bottom: "conv508"
  top: "conv508"
}
layer {
  name: "conv511"
  type: "Convolution"
  bottom: "conv508"
  top: "conv511"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn512"
  type: "BatchNorm"
  bottom: "conv511"
  top: "conv511"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale512"
  type: "Scale"
  bottom: "conv511"
  top: "conv511"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu513"
  type: "ReLU"
  bottom: "conv511"
  top: "conv511"
}
layer {
  name: "slice514"
  type: "Slice"
  bottom: "conv511"
  top: "slice514-0"
  top: "slice514-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add515"
  type: "Eltwise"
  bottom: "slice514-0"
  bottom: "slice514-1"
  top: "add515"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool516"
  type: "Pooling"
  bottom: "add515"
  top: "pool516"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv517"
  type: "Convolution"
  bottom: "pool516"
  top: "conv517"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn518"
  type: "BatchNorm"
  bottom: "conv517"
  top: "conv517"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale518"
  type: "Scale"
  bottom: "conv517"
  top: "conv517"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu519"
  type: "ReLU"
  bottom: "conv517"
  top: "conv517"
}
layer {
  name: "conv520"
  type: "Convolution"
  bottom: "conv517"
  top: "conv520"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape522"
  type: "Reshape"
  bottom: "conv520"
  top: "reshape522"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm523"
  type: "Permute"
  bottom: "reshape522"
  top: "perm523"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax524"
  type: "Softmax"
  bottom: "perm523"
  top: "softmax524"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape526"
  type: "Reshape"
  bottom: "softmax524"
  top: "reshape526"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice527"
  type: "Slice"
  bottom: "reshape526"
  top: "slice527-0"
  top: "slice527-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul528"
  type: "Scale"
  bottom: "slice514-0"
  bottom: "slice527-0"
  top: "mul528"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul529"
  type: "Scale"
  bottom: "slice514-1"
  bottom: "slice527-1"
  top: "mul529"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add530"
  type: "Eltwise"
  bottom: "mul528"
  bottom: "mul529"
  top: "add530"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv531"
  type: "Convolution"
  bottom: "add530"
  top: "conv531"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn532"
  type: "BatchNorm"
  bottom: "conv531"
  top: "conv531"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale532"
  type: "Scale"
  bottom: "conv531"
  top: "conv531"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add533"
  type: "Eltwise"
  bottom: "conv531"
  bottom: "add506"
  top: "add533"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu534"
  type: "ReLU"
  bottom: "add533"
  top: "add533"
}
layer {
  name: "conv535"
  type: "Convolution"
  bottom: "add533"
  top: "conv535"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn536"
  type: "BatchNorm"
  bottom: "conv535"
  top: "conv535"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale536"
  type: "Scale"
  bottom: "conv535"
  top: "conv535"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu537"
  type: "ReLU"
  bottom: "conv535"
  top: "conv535"
}
layer {
  name: "conv538"
  type: "Convolution"
  bottom: "conv535"
  top: "conv538"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn539"
  type: "BatchNorm"
  bottom: "conv538"
  top: "conv538"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale539"
  type: "Scale"
  bottom: "conv538"
  top: "conv538"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu540"
  type: "ReLU"
  bottom: "conv538"
  top: "conv538"
}
layer {
  name: "slice541"
  type: "Slice"
  bottom: "conv538"
  top: "slice541-0"
  top: "slice541-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add542"
  type: "Eltwise"
  bottom: "slice541-0"
  bottom: "slice541-1"
  top: "add542"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool543"
  type: "Pooling"
  bottom: "add542"
  top: "pool543"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv544"
  type: "Convolution"
  bottom: "pool543"
  top: "conv544"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn545"
  type: "BatchNorm"
  bottom: "conv544"
  top: "conv544"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale545"
  type: "Scale"
  bottom: "conv544"
  top: "conv544"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu546"
  type: "ReLU"
  bottom: "conv544"
  top: "conv544"
}
layer {
  name: "conv547"
  type: "Convolution"
  bottom: "conv544"
  top: "conv547"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape549"
  type: "Reshape"
  bottom: "conv547"
  top: "reshape549"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm550"
  type: "Permute"
  bottom: "reshape549"
  top: "perm550"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax551"
  type: "Softmax"
  bottom: "perm550"
  top: "softmax551"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape553"
  type: "Reshape"
  bottom: "softmax551"
  top: "reshape553"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice554"
  type: "Slice"
  bottom: "reshape553"
  top: "slice554-0"
  top: "slice554-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul555"
  type: "Scale"
  bottom: "slice541-0"
  bottom: "slice554-0"
  top: "mul555"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul556"
  type: "Scale"
  bottom: "slice541-1"
  bottom: "slice554-1"
  top: "mul556"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add557"
  type: "Eltwise"
  bottom: "mul555"
  bottom: "mul556"
  top: "add557"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv558"
  type: "Convolution"
  bottom: "add557"
  top: "conv558"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn559"
  type: "BatchNorm"
  bottom: "conv558"
  top: "conv558"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale559"
  type: "Scale"
  bottom: "conv558"
  top: "conv558"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add560"
  type: "Eltwise"
  bottom: "conv558"
  bottom: "add533"
  top: "add560"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu561"
  type: "ReLU"
  bottom: "add560"
  top: "add560"
}
layer {
  name: "conv562"
  type: "Convolution"
  bottom: "add560"
  top: "conv562"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn563"
  type: "BatchNorm"
  bottom: "conv562"
  top: "conv562"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale563"
  type: "Scale"
  bottom: "conv562"
  top: "conv562"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu564"
  type: "ReLU"
  bottom: "conv562"
  top: "conv562"
}
layer {
  name: "conv565"
  type: "Convolution"
  bottom: "conv562"
  top: "conv565"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn566"
  type: "BatchNorm"
  bottom: "conv565"
  top: "conv565"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale566"
  type: "Scale"
  bottom: "conv565"
  top: "conv565"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu567"
  type: "ReLU"
  bottom: "conv565"
  top: "conv565"
}
layer {
  name: "slice568"
  type: "Slice"
  bottom: "conv565"
  top: "slice568-0"
  top: "slice568-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add569"
  type: "Eltwise"
  bottom: "slice568-0"
  bottom: "slice568-1"
  top: "add569"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool570"
  type: "Pooling"
  bottom: "add569"
  top: "pool570"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv571"
  type: "Convolution"
  bottom: "pool570"
  top: "conv571"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn572"
  type: "BatchNorm"
  bottom: "conv571"
  top: "conv571"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale572"
  type: "Scale"
  bottom: "conv571"
  top: "conv571"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu573"
  type: "ReLU"
  bottom: "conv571"
  top: "conv571"
}
layer {
  name: "conv574"
  type: "Convolution"
  bottom: "conv571"
  top: "conv574"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape576"
  type: "Reshape"
  bottom: "conv574"
  top: "reshape576"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm577"
  type: "Permute"
  bottom: "reshape576"
  top: "perm577"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax578"
  type: "Softmax"
  bottom: "perm577"
  top: "softmax578"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape580"
  type: "Reshape"
  bottom: "softmax578"
  top: "reshape580"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice581"
  type: "Slice"
  bottom: "reshape580"
  top: "slice581-0"
  top: "slice581-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul582"
  type: "Scale"
  bottom: "slice568-0"
  bottom: "slice581-0"
  top: "mul582"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul583"
  type: "Scale"
  bottom: "slice568-1"
  bottom: "slice581-1"
  top: "mul583"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add584"
  type: "Eltwise"
  bottom: "mul582"
  bottom: "mul583"
  top: "add584"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv585"
  type: "Convolution"
  bottom: "add584"
  top: "conv585"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn586"
  type: "BatchNorm"
  bottom: "conv585"
  top: "conv585"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale586"
  type: "Scale"
  bottom: "conv585"
  top: "conv585"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add587"
  type: "Eltwise"
  bottom: "conv585"
  bottom: "add560"
  top: "add587"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu588"
  type: "ReLU"
  bottom: "add587"
  top: "add587"
}
layer {
  name: "conv589"
  type: "Convolution"
  bottom: "add587"
  top: "conv589"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn590"
  type: "BatchNorm"
  bottom: "conv589"
  top: "conv589"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale590"
  type: "Scale"
  bottom: "conv589"
  top: "conv589"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu591"
  type: "ReLU"
  bottom: "conv589"
  top: "conv589"
}
layer {
  name: "conv592"
  type: "Convolution"
  bottom: "conv589"
  top: "conv592"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn593"
  type: "BatchNorm"
  bottom: "conv592"
  top: "conv592"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale593"
  type: "Scale"
  bottom: "conv592"
  top: "conv592"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu594"
  type: "ReLU"
  bottom: "conv592"
  top: "conv592"
}
layer {
  name: "slice595"
  type: "Slice"
  bottom: "conv592"
  top: "slice595-0"
  top: "slice595-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add596"
  type: "Eltwise"
  bottom: "slice595-0"
  bottom: "slice595-1"
  top: "add596"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool597"
  type: "Pooling"
  bottom: "add596"
  top: "pool597"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv598"
  type: "Convolution"
  bottom: "pool597"
  top: "conv598"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn599"
  type: "BatchNorm"
  bottom: "conv598"
  top: "conv598"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale599"
  type: "Scale"
  bottom: "conv598"
  top: "conv598"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu600"
  type: "ReLU"
  bottom: "conv598"
  top: "conv598"
}
layer {
  name: "conv601"
  type: "Convolution"
  bottom: "conv598"
  top: "conv601"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape603"
  type: "Reshape"
  bottom: "conv601"
  top: "reshape603"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm604"
  type: "Permute"
  bottom: "reshape603"
  top: "perm604"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax605"
  type: "Softmax"
  bottom: "perm604"
  top: "softmax605"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape607"
  type: "Reshape"
  bottom: "softmax605"
  top: "reshape607"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice608"
  type: "Slice"
  bottom: "reshape607"
  top: "slice608-0"
  top: "slice608-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul609"
  type: "Scale"
  bottom: "slice595-0"
  bottom: "slice608-0"
  top: "mul609"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul610"
  type: "Scale"
  bottom: "slice595-1"
  bottom: "slice608-1"
  top: "mul610"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add611"
  type: "Eltwise"
  bottom: "mul609"
  bottom: "mul610"
  top: "add611"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv612"
  type: "Convolution"
  bottom: "add611"
  top: "conv612"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn613"
  type: "BatchNorm"
  bottom: "conv612"
  top: "conv612"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale613"
  type: "Scale"
  bottom: "conv612"
  top: "conv612"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add614"
  type: "Eltwise"
  bottom: "conv612"
  bottom: "add587"
  top: "add614"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu615"
  type: "ReLU"
  bottom: "add614"
  top: "add614"
}
layer {
  name: "conv616"
  type: "Convolution"
  bottom: "add614"
  top: "conv616"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn617"
  type: "BatchNorm"
  bottom: "conv616"
  top: "conv616"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale617"
  type: "Scale"
  bottom: "conv616"
  top: "conv616"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu618"
  type: "ReLU"
  bottom: "conv616"
  top: "conv616"
}
layer {
  name: "conv619"
  type: "Convolution"
  bottom: "conv616"
  top: "conv619"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn620"
  type: "BatchNorm"
  bottom: "conv619"
  top: "conv619"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale620"
  type: "Scale"
  bottom: "conv619"
  top: "conv619"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu621"
  type: "ReLU"
  bottom: "conv619"
  top: "conv619"
}
layer {
  name: "slice622"
  type: "Slice"
  bottom: "conv619"
  top: "slice622-0"
  top: "slice622-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add623"
  type: "Eltwise"
  bottom: "slice622-0"
  bottom: "slice622-1"
  top: "add623"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool624"
  type: "Pooling"
  bottom: "add623"
  top: "pool624"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv625"
  type: "Convolution"
  bottom: "pool624"
  top: "conv625"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn626"
  type: "BatchNorm"
  bottom: "conv625"
  top: "conv625"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale626"
  type: "Scale"
  bottom: "conv625"
  top: "conv625"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu627"
  type: "ReLU"
  bottom: "conv625"
  top: "conv625"
}
layer {
  name: "conv628"
  type: "Convolution"
  bottom: "conv625"
  top: "conv628"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape630"
  type: "Reshape"
  bottom: "conv628"
  top: "reshape630"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm631"
  type: "Permute"
  bottom: "reshape630"
  top: "perm631"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax632"
  type: "Softmax"
  bottom: "perm631"
  top: "softmax632"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape634"
  type: "Reshape"
  bottom: "softmax632"
  top: "reshape634"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice635"
  type: "Slice"
  bottom: "reshape634"
  top: "slice635-0"
  top: "slice635-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul636"
  type: "Scale"
  bottom: "slice622-0"
  bottom: "slice635-0"
  top: "mul636"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul637"
  type: "Scale"
  bottom: "slice622-1"
  bottom: "slice635-1"
  top: "mul637"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add638"
  type: "Eltwise"
  bottom: "mul636"
  bottom: "mul637"
  top: "add638"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv639"
  type: "Convolution"
  bottom: "add638"
  top: "conv639"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn640"
  type: "BatchNorm"
  bottom: "conv639"
  top: "conv639"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale640"
  type: "Scale"
  bottom: "conv639"
  top: "conv639"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add641"
  type: "Eltwise"
  bottom: "conv639"
  bottom: "add614"
  top: "add641"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu642"
  type: "ReLU"
  bottom: "add641"
  top: "add641"
}
layer {
  name: "conv643"
  type: "Convolution"
  bottom: "add641"
  top: "conv643"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn644"
  type: "BatchNorm"
  bottom: "conv643"
  top: "conv643"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale644"
  type: "Scale"
  bottom: "conv643"
  top: "conv643"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu645"
  type: "ReLU"
  bottom: "conv643"
  top: "conv643"
}
layer {
  name: "conv646"
  type: "Convolution"
  bottom: "conv643"
  top: "conv646"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn647"
  type: "BatchNorm"
  bottom: "conv646"
  top: "conv646"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale647"
  type: "Scale"
  bottom: "conv646"
  top: "conv646"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu648"
  type: "ReLU"
  bottom: "conv646"
  top: "conv646"
}
layer {
  name: "slice649"
  type: "Slice"
  bottom: "conv646"
  top: "slice649-0"
  top: "slice649-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add650"
  type: "Eltwise"
  bottom: "slice649-0"
  bottom: "slice649-1"
  top: "add650"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool651"
  type: "Pooling"
  bottom: "add650"
  top: "pool651"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv652"
  type: "Convolution"
  bottom: "pool651"
  top: "conv652"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn653"
  type: "BatchNorm"
  bottom: "conv652"
  top: "conv652"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale653"
  type: "Scale"
  bottom: "conv652"
  top: "conv652"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu654"
  type: "ReLU"
  bottom: "conv652"
  top: "conv652"
}
layer {
  name: "conv655"
  type: "Convolution"
  bottom: "conv652"
  top: "conv655"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape657"
  type: "Reshape"
  bottom: "conv655"
  top: "reshape657"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm658"
  type: "Permute"
  bottom: "reshape657"
  top: "perm658"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax659"
  type: "Softmax"
  bottom: "perm658"
  top: "softmax659"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape661"
  type: "Reshape"
  bottom: "softmax659"
  top: "reshape661"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice662"
  type: "Slice"
  bottom: "reshape661"
  top: "slice662-0"
  top: "slice662-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul663"
  type: "Scale"
  bottom: "slice649-0"
  bottom: "slice662-0"
  top: "mul663"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul664"
  type: "Scale"
  bottom: "slice649-1"
  bottom: "slice662-1"
  top: "mul664"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add665"
  type: "Eltwise"
  bottom: "mul663"
  bottom: "mul664"
  top: "add665"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv666"
  type: "Convolution"
  bottom: "add665"
  top: "conv666"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn667"
  type: "BatchNorm"
  bottom: "conv666"
  top: "conv666"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale667"
  type: "Scale"
  bottom: "conv666"
  top: "conv666"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add668"
  type: "Eltwise"
  bottom: "conv666"
  bottom: "add641"
  top: "add668"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu669"
  type: "ReLU"
  bottom: "add668"
  top: "add668"
}
layer {
  name: "conv670"
  type: "Convolution"
  bottom: "add668"
  top: "conv670"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn671"
  type: "BatchNorm"
  bottom: "conv670"
  top: "conv670"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale671"
  type: "Scale"
  bottom: "conv670"
  top: "conv670"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu672"
  type: "ReLU"
  bottom: "conv670"
  top: "conv670"
}
layer {
  name: "conv673"
  type: "Convolution"
  bottom: "conv670"
  top: "conv673"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn674"
  type: "BatchNorm"
  bottom: "conv673"
  top: "conv673"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale674"
  type: "Scale"
  bottom: "conv673"
  top: "conv673"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu675"
  type: "ReLU"
  bottom: "conv673"
  top: "conv673"
}
layer {
  name: "slice676"
  type: "Slice"
  bottom: "conv673"
  top: "slice676-0"
  top: "slice676-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add677"
  type: "Eltwise"
  bottom: "slice676-0"
  bottom: "slice676-1"
  top: "add677"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool678"
  type: "Pooling"
  bottom: "add677"
  top: "pool678"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv679"
  type: "Convolution"
  bottom: "pool678"
  top: "conv679"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn680"
  type: "BatchNorm"
  bottom: "conv679"
  top: "conv679"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale680"
  type: "Scale"
  bottom: "conv679"
  top: "conv679"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu681"
  type: "ReLU"
  bottom: "conv679"
  top: "conv679"
}
layer {
  name: "conv682"
  type: "Convolution"
  bottom: "conv679"
  top: "conv682"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape684"
  type: "Reshape"
  bottom: "conv682"
  top: "reshape684"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm685"
  type: "Permute"
  bottom: "reshape684"
  top: "perm685"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax686"
  type: "Softmax"
  bottom: "perm685"
  top: "softmax686"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape688"
  type: "Reshape"
  bottom: "softmax686"
  top: "reshape688"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice689"
  type: "Slice"
  bottom: "reshape688"
  top: "slice689-0"
  top: "slice689-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul690"
  type: "Scale"
  bottom: "slice676-0"
  bottom: "slice689-0"
  top: "mul690"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul691"
  type: "Scale"
  bottom: "slice676-1"
  bottom: "slice689-1"
  top: "mul691"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add692"
  type: "Eltwise"
  bottom: "mul690"
  bottom: "mul691"
  top: "add692"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv693"
  type: "Convolution"
  bottom: "add692"
  top: "conv693"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn694"
  type: "BatchNorm"
  bottom: "conv693"
  top: "conv693"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale694"
  type: "Scale"
  bottom: "conv693"
  top: "conv693"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add695"
  type: "Eltwise"
  bottom: "conv693"
  bottom: "add668"
  top: "add695"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu696"
  type: "ReLU"
  bottom: "add695"
  top: "add695"
}
layer {
  name: "conv697"
  type: "Convolution"
  bottom: "add695"
  top: "conv697"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn698"
  type: "BatchNorm"
  bottom: "conv697"
  top: "conv697"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale698"
  type: "Scale"
  bottom: "conv697"
  top: "conv697"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu699"
  type: "ReLU"
  bottom: "conv697"
  top: "conv697"
}
layer {
  name: "conv700"
  type: "Convolution"
  bottom: "conv697"
  top: "conv700"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn701"
  type: "BatchNorm"
  bottom: "conv700"
  top: "conv700"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale701"
  type: "Scale"
  bottom: "conv700"
  top: "conv700"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu702"
  type: "ReLU"
  bottom: "conv700"
  top: "conv700"
}
layer {
  name: "slice703"
  type: "Slice"
  bottom: "conv700"
  top: "slice703-0"
  top: "slice703-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add704"
  type: "Eltwise"
  bottom: "slice703-0"
  bottom: "slice703-1"
  top: "add704"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool705"
  type: "Pooling"
  bottom: "add704"
  top: "pool705"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv706"
  type: "Convolution"
  bottom: "pool705"
  top: "conv706"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn707"
  type: "BatchNorm"
  bottom: "conv706"
  top: "conv706"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale707"
  type: "Scale"
  bottom: "conv706"
  top: "conv706"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu708"
  type: "ReLU"
  bottom: "conv706"
  top: "conv706"
}
layer {
  name: "conv709"
  type: "Convolution"
  bottom: "conv706"
  top: "conv709"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape711"
  type: "Reshape"
  bottom: "conv709"
  top: "reshape711"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm712"
  type: "Permute"
  bottom: "reshape711"
  top: "perm712"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax713"
  type: "Softmax"
  bottom: "perm712"
  top: "softmax713"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape715"
  type: "Reshape"
  bottom: "softmax713"
  top: "reshape715"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice716"
  type: "Slice"
  bottom: "reshape715"
  top: "slice716-0"
  top: "slice716-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul717"
  type: "Scale"
  bottom: "slice703-0"
  bottom: "slice716-0"
  top: "mul717"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul718"
  type: "Scale"
  bottom: "slice703-1"
  bottom: "slice716-1"
  top: "mul718"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add719"
  type: "Eltwise"
  bottom: "mul717"
  bottom: "mul718"
  top: "add719"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv720"
  type: "Convolution"
  bottom: "add719"
  top: "conv720"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn721"
  type: "BatchNorm"
  bottom: "conv720"
  top: "conv720"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale721"
  type: "Scale"
  bottom: "conv720"
  top: "conv720"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add722"
  type: "Eltwise"
  bottom: "conv720"
  bottom: "add695"
  top: "add722"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu723"
  type: "ReLU"
  bottom: "add722"
  top: "add722"
}
layer {
  name: "conv724"
  type: "Convolution"
  bottom: "add722"
  top: "conv724"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn725"
  type: "BatchNorm"
  bottom: "conv724"
  top: "conv724"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale725"
  type: "Scale"
  bottom: "conv724"
  top: "conv724"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu726"
  type: "ReLU"
  bottom: "conv724"
  top: "conv724"
}
layer {
  name: "conv727"
  type: "Convolution"
  bottom: "conv724"
  top: "conv727"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn728"
  type: "BatchNorm"
  bottom: "conv727"
  top: "conv727"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale728"
  type: "Scale"
  bottom: "conv727"
  top: "conv727"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu729"
  type: "ReLU"
  bottom: "conv727"
  top: "conv727"
}
layer {
  name: "slice730"
  type: "Slice"
  bottom: "conv727"
  top: "slice730-0"
  top: "slice730-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add731"
  type: "Eltwise"
  bottom: "slice730-0"
  bottom: "slice730-1"
  top: "add731"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool732"
  type: "Pooling"
  bottom: "add731"
  top: "pool732"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv733"
  type: "Convolution"
  bottom: "pool732"
  top: "conv733"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn734"
  type: "BatchNorm"
  bottom: "conv733"
  top: "conv733"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale734"
  type: "Scale"
  bottom: "conv733"
  top: "conv733"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu735"
  type: "ReLU"
  bottom: "conv733"
  top: "conv733"
}
layer {
  name: "conv736"
  type: "Convolution"
  bottom: "conv733"
  top: "conv736"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape738"
  type: "Reshape"
  bottom: "conv736"
  top: "reshape738"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm739"
  type: "Permute"
  bottom: "reshape738"
  top: "perm739"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax740"
  type: "Softmax"
  bottom: "perm739"
  top: "softmax740"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape742"
  type: "Reshape"
  bottom: "softmax740"
  top: "reshape742"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice743"
  type: "Slice"
  bottom: "reshape742"
  top: "slice743-0"
  top: "slice743-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul744"
  type: "Scale"
  bottom: "slice730-0"
  bottom: "slice743-0"
  top: "mul744"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul745"
  type: "Scale"
  bottom: "slice730-1"
  bottom: "slice743-1"
  top: "mul745"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add746"
  type: "Eltwise"
  bottom: "mul744"
  bottom: "mul745"
  top: "add746"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv747"
  type: "Convolution"
  bottom: "add746"
  top: "conv747"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn748"
  type: "BatchNorm"
  bottom: "conv747"
  top: "conv747"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale748"
  type: "Scale"
  bottom: "conv747"
  top: "conv747"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add749"
  type: "Eltwise"
  bottom: "conv747"
  bottom: "add722"
  top: "add749"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu750"
  type: "ReLU"
  bottom: "add749"
  top: "add749"
}
layer {
  name: "conv751"
  type: "Convolution"
  bottom: "add749"
  top: "conv751"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn752"
  type: "BatchNorm"
  bottom: "conv751"
  top: "conv751"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale752"
  type: "Scale"
  bottom: "conv751"
  top: "conv751"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu753"
  type: "ReLU"
  bottom: "conv751"
  top: "conv751"
}
layer {
  name: "conv754"
  type: "Convolution"
  bottom: "conv751"
  top: "conv754"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn755"
  type: "BatchNorm"
  bottom: "conv754"
  top: "conv754"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale755"
  type: "Scale"
  bottom: "conv754"
  top: "conv754"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu756"
  type: "ReLU"
  bottom: "conv754"
  top: "conv754"
}
layer {
  name: "slice757"
  type: "Slice"
  bottom: "conv754"
  top: "slice757-0"
  top: "slice757-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add758"
  type: "Eltwise"
  bottom: "slice757-0"
  bottom: "slice757-1"
  top: "add758"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool759"
  type: "Pooling"
  bottom: "add758"
  top: "pool759"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv760"
  type: "Convolution"
  bottom: "pool759"
  top: "conv760"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn761"
  type: "BatchNorm"
  bottom: "conv760"
  top: "conv760"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale761"
  type: "Scale"
  bottom: "conv760"
  top: "conv760"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu762"
  type: "ReLU"
  bottom: "conv760"
  top: "conv760"
}
layer {
  name: "conv763"
  type: "Convolution"
  bottom: "conv760"
  top: "conv763"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape765"
  type: "Reshape"
  bottom: "conv763"
  top: "reshape765"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm766"
  type: "Permute"
  bottom: "reshape765"
  top: "perm766"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax767"
  type: "Softmax"
  bottom: "perm766"
  top: "softmax767"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape769"
  type: "Reshape"
  bottom: "softmax767"
  top: "reshape769"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice770"
  type: "Slice"
  bottom: "reshape769"
  top: "slice770-0"
  top: "slice770-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul771"
  type: "Scale"
  bottom: "slice757-0"
  bottom: "slice770-0"
  top: "mul771"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul772"
  type: "Scale"
  bottom: "slice757-1"
  bottom: "slice770-1"
  top: "mul772"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add773"
  type: "Eltwise"
  bottom: "mul771"
  bottom: "mul772"
  top: "add773"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv774"
  type: "Convolution"
  bottom: "add773"
  top: "conv774"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn775"
  type: "BatchNorm"
  bottom: "conv774"
  top: "conv774"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale775"
  type: "Scale"
  bottom: "conv774"
  top: "conv774"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add776"
  type: "Eltwise"
  bottom: "conv774"
  bottom: "add749"
  top: "add776"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu777"
  type: "ReLU"
  bottom: "add776"
  top: "add776"
}
layer {
  name: "conv778"
  type: "Convolution"
  bottom: "add776"
  top: "conv778"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn779"
  type: "BatchNorm"
  bottom: "conv778"
  top: "conv778"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale779"
  type: "Scale"
  bottom: "conv778"
  top: "conv778"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu780"
  type: "ReLU"
  bottom: "conv778"
  top: "conv778"
}
layer {
  name: "conv781"
  type: "Convolution"
  bottom: "conv778"
  top: "conv781"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn782"
  type: "BatchNorm"
  bottom: "conv781"
  top: "conv781"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale782"
  type: "Scale"
  bottom: "conv781"
  top: "conv781"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu783"
  type: "ReLU"
  bottom: "conv781"
  top: "conv781"
}
layer {
  name: "slice784"
  type: "Slice"
  bottom: "conv781"
  top: "slice784-0"
  top: "slice784-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add785"
  type: "Eltwise"
  bottom: "slice784-0"
  bottom: "slice784-1"
  top: "add785"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool786"
  type: "Pooling"
  bottom: "add785"
  top: "pool786"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv787"
  type: "Convolution"
  bottom: "pool786"
  top: "conv787"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn788"
  type: "BatchNorm"
  bottom: "conv787"
  top: "conv787"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale788"
  type: "Scale"
  bottom: "conv787"
  top: "conv787"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu789"
  type: "ReLU"
  bottom: "conv787"
  top: "conv787"
}
layer {
  name: "conv790"
  type: "Convolution"
  bottom: "conv787"
  top: "conv790"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape792"
  type: "Reshape"
  bottom: "conv790"
  top: "reshape792"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm793"
  type: "Permute"
  bottom: "reshape792"
  top: "perm793"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax794"
  type: "Softmax"
  bottom: "perm793"
  top: "softmax794"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape796"
  type: "Reshape"
  bottom: "softmax794"
  top: "reshape796"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice797"
  type: "Slice"
  bottom: "reshape796"
  top: "slice797-0"
  top: "slice797-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul798"
  type: "Scale"
  bottom: "slice784-0"
  bottom: "slice797-0"
  top: "mul798"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul799"
  type: "Scale"
  bottom: "slice784-1"
  bottom: "slice797-1"
  top: "mul799"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add800"
  type: "Eltwise"
  bottom: "mul798"
  bottom: "mul799"
  top: "add800"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv801"
  type: "Convolution"
  bottom: "add800"
  top: "conv801"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn802"
  type: "BatchNorm"
  bottom: "conv801"
  top: "conv801"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale802"
  type: "Scale"
  bottom: "conv801"
  top: "conv801"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add803"
  type: "Eltwise"
  bottom: "conv801"
  bottom: "add776"
  top: "add803"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu804"
  type: "ReLU"
  bottom: "add803"
  top: "add803"
}
layer {
  name: "conv805"
  type: "Convolution"
  bottom: "add803"
  top: "conv805"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn806"
  type: "BatchNorm"
  bottom: "conv805"
  top: "conv805"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale806"
  type: "Scale"
  bottom: "conv805"
  top: "conv805"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu807"
  type: "ReLU"
  bottom: "conv805"
  top: "conv805"
}
layer {
  name: "conv808"
  type: "Convolution"
  bottom: "conv805"
  top: "conv808"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn809"
  type: "BatchNorm"
  bottom: "conv808"
  top: "conv808"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale809"
  type: "Scale"
  bottom: "conv808"
  top: "conv808"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu810"
  type: "ReLU"
  bottom: "conv808"
  top: "conv808"
}
layer {
  name: "slice811"
  type: "Slice"
  bottom: "conv808"
  top: "slice811-0"
  top: "slice811-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "add812"
  type: "Eltwise"
  bottom: "slice811-0"
  bottom: "slice811-1"
  top: "add812"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool813"
  type: "Pooling"
  bottom: "add812"
  top: "pool813"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv814"
  type: "Convolution"
  bottom: "pool813"
  top: "conv814"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn815"
  type: "BatchNorm"
  bottom: "conv814"
  top: "conv814"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale815"
  type: "Scale"
  bottom: "conv814"
  top: "conv814"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu816"
  type: "ReLU"
  bottom: "conv814"
  top: "conv814"
}
layer {
  name: "conv817"
  type: "Convolution"
  bottom: "conv814"
  top: "conv817"
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape819"
  type: "Reshape"
  bottom: "conv817"
  top: "reshape819"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm820"
  type: "Permute"
  bottom: "reshape819"
  top: "perm820"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax821"
  type: "Softmax"
  bottom: "perm820"
  top: "softmax821"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape823"
  type: "Reshape"
  bottom: "softmax821"
  top: "reshape823"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice824"
  type: "Slice"
  bottom: "reshape823"
  top: "slice824-0"
  top: "slice824-1"
  slice_param {
    slice_point: 256
    axis: 1
  }
}
layer {
  name: "mul825"
  type: "Scale"
  bottom: "slice811-0"
  bottom: "slice824-0"
  top: "mul825"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul826"
  type: "Scale"
  bottom: "slice811-1"
  bottom: "slice824-1"
  top: "mul826"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add827"
  type: "Eltwise"
  bottom: "mul825"
  bottom: "mul826"
  top: "add827"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv828"
  type: "Convolution"
  bottom: "add827"
  top: "conv828"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn829"
  type: "BatchNorm"
  bottom: "conv828"
  top: "conv828"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale829"
  type: "Scale"
  bottom: "conv828"
  top: "conv828"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add830"
  type: "Eltwise"
  bottom: "conv828"
  bottom: "add803"
  top: "add830"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu831"
  type: "ReLU"
  bottom: "add830"
  top: "add830"
}
layer {
  name: "conv832"
  type: "Convolution"
  bottom: "add830"
  top: "conv832"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn833"
  type: "BatchNorm"
  bottom: "conv832"
  top: "conv832"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale833"
  type: "Scale"
  bottom: "conv832"
  top: "conv832"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu834"
  type: "ReLU"
  bottom: "conv832"
  top: "conv832"
}
layer {
  name: "conv835"
  type: "Convolution"
  bottom: "conv832"
  top: "conv835"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn836"
  type: "BatchNorm"
  bottom: "conv835"
  top: "conv835"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale836"
  type: "Scale"
  bottom: "conv835"
  top: "conv835"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu837"
  type: "ReLU"
  bottom: "conv835"
  top: "conv835"
}
layer {
  name: "slice838"
  type: "Slice"
  bottom: "conv835"
  top: "slice838-0"
  top: "slice838-1"
  slice_param {
    slice_point: 512
    axis: 1
  }
}
layer {
  name: "add839"
  type: "Eltwise"
  bottom: "slice838-0"
  bottom: "slice838-1"
  top: "add839"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool840"
  type: "Pooling"
  bottom: "add839"
  top: "pool840"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv841"
  type: "Convolution"
  bottom: "pool840"
  top: "conv841"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn842"
  type: "BatchNorm"
  bottom: "conv841"
  top: "conv841"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale842"
  type: "Scale"
  bottom: "conv841"
  top: "conv841"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu843"
  type: "ReLU"
  bottom: "conv841"
  top: "conv841"
}
layer {
  name: "conv844"
  type: "Convolution"
  bottom: "conv841"
  top: "conv844"
  convolution_param {
    num_output: 1024
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape846"
  type: "Reshape"
  bottom: "conv844"
  top: "reshape846"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm847"
  type: "Permute"
  bottom: "reshape846"
  top: "perm847"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax848"
  type: "Softmax"
  bottom: "perm847"
  top: "softmax848"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape850"
  type: "Reshape"
  bottom: "softmax848"
  top: "reshape850"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice851"
  type: "Slice"
  bottom: "reshape850"
  top: "slice851-0"
  top: "slice851-1"
  slice_param {
    slice_point: 512
    axis: 1
  }
}
layer {
  name: "mul852"
  type: "Scale"
  bottom: "slice838-0"
  bottom: "slice851-0"
  top: "mul852"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul853"
  type: "Scale"
  bottom: "slice838-1"
  bottom: "slice851-1"
  top: "mul853"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add854"
  type: "Eltwise"
  bottom: "mul852"
  bottom: "mul853"
  top: "add854"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool855"
  type: "Pooling"
  bottom: "add854"
  top: "pool855"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 2
    pad: 1
    round_mode: FLOOR
  }
}
layer {
  name: "conv856"
  type: "Convolution"
  bottom: "pool855"
  top: "conv856"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn857"
  type: "BatchNorm"
  bottom: "conv856"
  top: "conv856"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale857"
  type: "Scale"
  bottom: "conv856"
  top: "conv856"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "pool858"
  type: "Pooling"
  bottom: "add830"
  top: "pool858"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
    pad: 0
  }
}
layer {
  name: "conv859"
  type: "Convolution"
  bottom: "pool858"
  top: "conv859"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn860"
  type: "BatchNorm"
  bottom: "conv859"
  top: "conv859"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale860"
  type: "Scale"
  bottom: "conv859"
  top: "conv859"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add861"
  type: "Eltwise"
  bottom: "conv856"
  bottom: "conv859"
  top: "add861"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu862"
  type: "ReLU"
  bottom: "add861"
  top: "add861"
}
layer {
  name: "conv863"
  type: "Convolution"
  bottom: "add861"
  top: "conv863"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn864"
  type: "BatchNorm"
  bottom: "conv863"
  top: "conv863"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale864"
  type: "Scale"
  bottom: "conv863"
  top: "conv863"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu865"
  type: "ReLU"
  bottom: "conv863"
  top: "conv863"
}
layer {
  name: "conv866"
  type: "Convolution"
  bottom: "conv863"
  top: "conv866"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn867"
  type: "BatchNorm"
  bottom: "conv866"
  top: "conv866"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale867"
  type: "Scale"
  bottom: "conv866"
  top: "conv866"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu868"
  type: "ReLU"
  bottom: "conv866"
  top: "conv866"
}
layer {
  name: "slice869"
  type: "Slice"
  bottom: "conv866"
  top: "slice869-0"
  top: "slice869-1"
  slice_param {
    slice_point: 512
    axis: 1
  }
}
layer {
  name: "add870"
  type: "Eltwise"
  bottom: "slice869-0"
  bottom: "slice869-1"
  top: "add870"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool871"
  type: "Pooling"
  bottom: "add870"
  top: "pool871"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv872"
  type: "Convolution"
  bottom: "pool871"
  top: "conv872"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn873"
  type: "BatchNorm"
  bottom: "conv872"
  top: "conv872"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale873"
  type: "Scale"
  bottom: "conv872"
  top: "conv872"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu874"
  type: "ReLU"
  bottom: "conv872"
  top: "conv872"
}
layer {
  name: "conv875"
  type: "Convolution"
  bottom: "conv872"
  top: "conv875"
  convolution_param {
    num_output: 1024
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape877"
  type: "Reshape"
  bottom: "conv875"
  top: "reshape877"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm878"
  type: "Permute"
  bottom: "reshape877"
  top: "perm878"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax879"
  type: "Softmax"
  bottom: "perm878"
  top: "softmax879"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape881"
  type: "Reshape"
  bottom: "softmax879"
  top: "reshape881"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice882"
  type: "Slice"
  bottom: "reshape881"
  top: "slice882-0"
  top: "slice882-1"
  slice_param {
    slice_point: 512
    axis: 1
  }
}
layer {
  name: "mul883"
  type: "Scale"
  bottom: "slice869-0"
  bottom: "slice882-0"
  top: "mul883"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul884"
  type: "Scale"
  bottom: "slice869-1"
  bottom: "slice882-1"
  top: "mul884"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add885"
  type: "Eltwise"
  bottom: "mul883"
  bottom: "mul884"
  top: "add885"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv886"
  type: "Convolution"
  bottom: "add885"
  top: "conv886"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn887"
  type: "BatchNorm"
  bottom: "conv886"
  top: "conv886"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale887"
  type: "Scale"
  bottom: "conv886"
  top: "conv886"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add888"
  type: "Eltwise"
  bottom: "conv886"
  bottom: "add861"
  top: "add888"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu889"
  type: "ReLU"
  bottom: "add888"
  top: "add888"
}
layer {
  name: "conv890"
  type: "Convolution"
  bottom: "add888"
  top: "conv890"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn891"
  type: "BatchNorm"
  bottom: "conv890"
  top: "conv890"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale891"
  type: "Scale"
  bottom: "conv890"
  top: "conv890"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu892"
  type: "ReLU"
  bottom: "conv890"
  top: "conv890"
}
layer {
  name: "conv893"
  type: "Convolution"
  bottom: "conv890"
  top: "conv893"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2
    stride: 1
  }
}
layer {
  name: "bn894"
  type: "BatchNorm"
  bottom: "conv893"
  top: "conv893"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale894"
  type: "Scale"
  bottom: "conv893"
  top: "conv893"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu895"
  type: "ReLU"
  bottom: "conv893"
  top: "conv893"
}
layer {
  name: "slice896"
  type: "Slice"
  bottom: "conv893"
  top: "slice896-0"
  top: "slice896-1"
  slice_param {
    slice_point: 512
    axis: 1
  }
}
layer {
  name: "add897"
  type: "Eltwise"
  bottom: "slice896-0"
  bottom: "slice896-1"
  top: "add897"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "pool898"
  type: "Pooling"
  bottom: "add897"
  top: "pool898"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "conv899"
  type: "Convolution"
  bottom: "pool898"
  top: "conv899"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn900"
  type: "BatchNorm"
  bottom: "conv899"
  top: "conv899"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale900"
  type: "Scale"
  bottom: "conv899"
  top: "conv899"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu901"
  type: "ReLU"
  bottom: "conv899"
  top: "conv899"
}
layer {
  name: "conv902"
  type: "Convolution"
  bottom: "conv899"
  top: "conv902"
  convolution_param {
    num_output: 1024
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "reshape904"
  type: "Reshape"
  bottom: "conv902"
  top: "reshape904"
  reshape_param {
    shape {
      dim: 0
      dim: 1
      dim: 2
      dim: -1
    }
  }
}
layer {
  name: "perm905"
  type: "Permute"
  bottom: "reshape904"
  top: "perm905"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
  }
}
layer {
  name: "softmax906"
  type: "Softmax"
  bottom: "perm905"
  top: "softmax906"
  softmax_param {
    axis: 1
  }
}
layer {
  name: "reshape908"
  type: "Reshape"
  bottom: "softmax906"
  top: "reshape908"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "slice909"
  type: "Slice"
  bottom: "reshape908"
  top: "slice909-0"
  top: "slice909-1"
  slice_param {
    slice_point: 512
    axis: 1
  }
}
layer {
  name: "mul910"
  type: "Scale"
  bottom: "slice896-0"
  bottom: "slice909-0"
  top: "mul910"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "mul911"
  type: "Scale"
  bottom: "slice896-1"
  bottom: "slice909-1"
  top: "mul911"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "add912"
  type: "Eltwise"
  bottom: "mul910"
  bottom: "mul911"
  top: "add912"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv913"
  type: "Convolution"
  bottom: "add912"
  top: "conv913"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "bn914"
  type: "BatchNorm"
  bottom: "conv913"
  top: "conv913"
  batch_norm_param {
    moving_average_fraction: 0.899999976158
    eps: 9.99999974738e-06
  }
}
layer {
  name: "scale914"
  type: "Scale"
  bottom: "conv913"
  top: "conv913"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add915"
  type: "Eltwise"
  bottom: "conv913"
  bottom: "add888"
  top: "add915"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu916"
  type: "ReLU"
  bottom: "add915"
  top: "add915"
}
layer {
  name: "pool917"
  type: "Pooling"
  bottom: "add915"
  top: "pool917"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "fc922"
  type: "InnerProduct"
  bottom: "pool917"
  top: "fc922"
  inner_product_param {
    num_output: 1000
    bias_term: true
  }
}