PeleeNet.prototxt

name: "PeleeNet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 224
      dim: 224
    }
  }
}
layer {
  name: "stem1"
  type: "Convolution"
  bottom: "data"
  top: "stem1"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stem1/bn"
  type: "BatchNorm"
  bottom: "stem1"
  top: "stem1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stem1/scale"
  type: "Scale"
  bottom: "stem1"
  top: "stem1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stem1/relu"
  type: "ReLU"
  bottom: "stem1"
  top: "stem1"
}
layer {
  name: "stem2a"
  type: "Convolution"
  bottom: "stem1"
  top: "stem2a"
  convolution_param {
    num_output: 16
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stem2a/bn"
  type: "BatchNorm"
  bottom: "stem2a"
  top: "stem2a"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stem2a/scale"
  type: "Scale"
  bottom: "stem2a"
  top: "stem2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stem2a/relu"
  type: "ReLU"
  bottom: "stem2a"
  top: "stem2a"
}
layer {
  name: "stem2b"
  type: "Convolution"
  bottom: "stem2a"
  top: "stem2b"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stem2b/bn"
  type: "BatchNorm"
  bottom: "stem2b"
  top: "stem2b"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stem2b/scale"
  type: "Scale"
  bottom: "stem2b"
  top: "stem2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stem2b/relu"
  type: "ReLU"
  bottom: "stem2b"
  top: "stem2b"
}
layer {
  name: "stem1/pool"
  type: "Pooling"
  bottom: "stem1"
  top: "stem1/pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stem/concat"
  type: "Concat"
  bottom: "stem2b" 
  bottom: "stem1/pool" 
  top: "stem/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stem"
  type: "Convolution"
  bottom: "stem/concat"
  top: "stem"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stem/bn"
  type: "BatchNorm"
  bottom: "stem"
  top: "stem"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stem/scale"
  type: "Scale"
  bottom: "stem"
  top: "stem"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stem/relu"
  type: "ReLU"
  bottom: "stem"
  top: "stem"
}
layer {
  name: "stage1_1/a1"
  type: "Convolution"
  bottom: "stem"
  top: "stage1_1/a1"
  convolution_param {
    num_output: 16
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_1/a1/bn"
  type: "BatchNorm"
  bottom: "stage1_1/a1"
  top: "stage1_1/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_1/a1/scale"
  type: "Scale"
  bottom: "stage1_1/a1"
  top: "stage1_1/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/a1/relu"
  type: "ReLU"
  bottom: "stage1_1/a1"
  top: "stage1_1/a1"
}
layer {
  name: "stage1_1/a2"
  type: "Convolution"
  bottom: "stage1_1/a1"
  top: "stage1_1/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_1/a2/bn"
  type: "BatchNorm"
  bottom: "stage1_1/a2"
  top: "stage1_1/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_1/a2/scale"
  type: "Scale"
  bottom: "stage1_1/a2"
  top: "stage1_1/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/a2/relu"
  type: "ReLU"
  bottom: "stage1_1/a2"
  top: "stage1_1/a2"
}
layer {
  name: "stage1_1/b1"
  type: "Convolution"
  bottom: "stem"
  top: "stage1_1/b1"
  convolution_param {
    num_output: 16
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_1/b1/bn"
  type: "BatchNorm"
  bottom: "stage1_1/b1"
  top: "stage1_1/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_1/b1/scale"
  type: "Scale"
  bottom: "stage1_1/b1"
  top: "stage1_1/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/b1/relu"
  type: "ReLU"
  bottom: "stage1_1/b1"
  top: "stage1_1/b1"
}
layer {
  name: "stage1_1/b2"
  type: "Convolution"
  bottom: "stage1_1/b1"
  top: "stage1_1/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_1/b2/bn"
  type: "BatchNorm"
  bottom: "stage1_1/b2"
  top: "stage1_1/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_1/b2/scale"
  type: "Scale"
  bottom: "stage1_1/b2"
  top: "stage1_1/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/b2/relu"
  type: "ReLU"
  bottom: "stage1_1/b2"
  top: "stage1_1/b2"
}
layer {
  name: "stage1_1/b3"
  type: "Convolution"
  bottom: "stage1_1/b2"
  top: "stage1_1/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_1/b3/bn"
  type: "BatchNorm"
  bottom: "stage1_1/b3"
  top: "stage1_1/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_1/b3/scale"
  type: "Scale"
  bottom: "stage1_1/b3"
  top: "stage1_1/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/b3/relu"
  type: "ReLU"
  bottom: "stage1_1/b3"
  top: "stage1_1/b3"
}
layer {
  name: "stage1_1"
  type: "Concat"
  bottom: "stem" 
  bottom: "stage1_1/a2" 
  bottom: "stage1_1/b3" 
  top: "stage1_1"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage1_2/a1"
  type: "Convolution"
  bottom: "stage1_1"
  top: "stage1_2/a1"
  convolution_param {
    num_output: 16
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_2/a1/bn"
  type: "BatchNorm"
  bottom: "stage1_2/a1"
  top: "stage1_2/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_2/a1/scale"
  type: "Scale"
  bottom: "stage1_2/a1"
  top: "stage1_2/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/a1/relu"
  type: "ReLU"
  bottom: "stage1_2/a1"
  top: "stage1_2/a1"
}
layer {
  name: "stage1_2/a2"
  type: "Convolution"
  bottom: "stage1_2/a1"
  top: "stage1_2/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_2/a2/bn"
  type: "BatchNorm"
  bottom: "stage1_2/a2"
  top: "stage1_2/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_2/a2/scale"
  type: "Scale"
  bottom: "stage1_2/a2"
  top: "stage1_2/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/a2/relu"
  type: "ReLU"
  bottom: "stage1_2/a2"
  top: "stage1_2/a2"
}
layer {
  name: "stage1_2/b1"
  type: "Convolution"
  bottom: "stage1_1"
  top: "stage1_2/b1"
  convolution_param {
    num_output: 16
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_2/b1/bn"
  type: "BatchNorm"
  bottom: "stage1_2/b1"
  top: "stage1_2/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_2/b1/scale"
  type: "Scale"
  bottom: "stage1_2/b1"
  top: "stage1_2/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/b1/relu"
  type: "ReLU"
  bottom: "stage1_2/b1"
  top: "stage1_2/b1"
}
layer {
  name: "stage1_2/b2"
  type: "Convolution"
  bottom: "stage1_2/b1"
  top: "stage1_2/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_2/b2/bn"
  type: "BatchNorm"
  bottom: "stage1_2/b2"
  top: "stage1_2/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_2/b2/scale"
  type: "Scale"
  bottom: "stage1_2/b2"
  top: "stage1_2/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/b2/relu"
  type: "ReLU"
  bottom: "stage1_2/b2"
  top: "stage1_2/b2"
}
layer {
  name: "stage1_2/b3"
  type: "Convolution"
  bottom: "stage1_2/b2"
  top: "stage1_2/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_2/b3/bn"
  type: "BatchNorm"
  bottom: "stage1_2/b3"
  top: "stage1_2/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_2/b3/scale"
  type: "Scale"
  bottom: "stage1_2/b3"
  top: "stage1_2/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/b3/relu"
  type: "ReLU"
  bottom: "stage1_2/b3"
  top: "stage1_2/b3"
}
layer {
  name: "stage1_2"
  type: "Concat"
  bottom: "stage1_1" 
  bottom: "stage1_2/a2" 
  bottom: "stage1_2/b3" 
  top: "stage1_2"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage1_3/a1"
  type: "Convolution"
  bottom: "stage1_2"
  top: "stage1_3/a1"
  convolution_param {
    num_output: 16
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_3/a1/bn"
  type: "BatchNorm"
  bottom: "stage1_3/a1"
  top: "stage1_3/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_3/a1/scale"
  type: "Scale"
  bottom: "stage1_3/a1"
  top: "stage1_3/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/a1/relu"
  type: "ReLU"
  bottom: "stage1_3/a1"
  top: "stage1_3/a1"
}
layer {
  name: "stage1_3/a2"
  type: "Convolution"
  bottom: "stage1_3/a1"
  top: "stage1_3/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_3/a2/bn"
  type: "BatchNorm"
  bottom: "stage1_3/a2"
  top: "stage1_3/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_3/a2/scale"
  type: "Scale"
  bottom: "stage1_3/a2"
  top: "stage1_3/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/a2/relu"
  type: "ReLU"
  bottom: "stage1_3/a2"
  top: "stage1_3/a2"
}
layer {
  name: "stage1_3/b1"
  type: "Convolution"
  bottom: "stage1_2"
  top: "stage1_3/b1"
  convolution_param {
    num_output: 16
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_3/b1/bn"
  type: "BatchNorm"
  bottom: "stage1_3/b1"
  top: "stage1_3/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_3/b1/scale"
  type: "Scale"
  bottom: "stage1_3/b1"
  top: "stage1_3/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/b1/relu"
  type: "ReLU"
  bottom: "stage1_3/b1"
  top: "stage1_3/b1"
}
layer {
  name: "stage1_3/b2"
  type: "Convolution"
  bottom: "stage1_3/b1"
  top: "stage1_3/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_3/b2/bn"
  type: "BatchNorm"
  bottom: "stage1_3/b2"
  top: "stage1_3/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_3/b2/scale"
  type: "Scale"
  bottom: "stage1_3/b2"
  top: "stage1_3/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/b2/relu"
  type: "ReLU"
  bottom: "stage1_3/b2"
  top: "stage1_3/b2"
}
layer {
  name: "stage1_3/b3"
  type: "Convolution"
  bottom: "stage1_3/b2"
  top: "stage1_3/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1_3/b3/bn"
  type: "BatchNorm"
  bottom: "stage1_3/b3"
  top: "stage1_3/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1_3/b3/scale"
  type: "Scale"
  bottom: "stage1_3/b3"
  top: "stage1_3/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/b3/relu"
  type: "ReLU"
  bottom: "stage1_3/b3"
  top: "stage1_3/b3"
}
layer {
  name: "stage1_3"
  type: "Concat"
  bottom: "stage1_2" 
  bottom: "stage1_3/a2" 
  bottom: "stage1_3/b3" 
  top: "stage1_3"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage1"
  type: "Convolution"
  bottom: "stage1_3"
  top: "stage1"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage1/bn"
  type: "BatchNorm"
  bottom: "stage1"
  top: "stage1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage1/scale"
  type: "Scale"
  bottom: "stage1"
  top: "stage1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1/relu"
  type: "ReLU"
  bottom: "stage1"
  top: "stage1"
}
layer {
  name: "stage1/pool"
  type: "Pooling"
  bottom: "stage1"
  top: "stage1/pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage2_1/a1"
  type: "Convolution"
  bottom: "stage1/pool"
  top: "stage2_1/a1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_1/a1/bn"
  type: "BatchNorm"
  bottom: "stage2_1/a1"
  top: "stage2_1/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_1/a1/scale"
  type: "Scale"
  bottom: "stage2_1/a1"
  top: "stage2_1/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/a1/relu"
  type: "ReLU"
  bottom: "stage2_1/a1"
  top: "stage2_1/a1"
}
layer {
  name: "stage2_1/a2"
  type: "Convolution"
  bottom: "stage2_1/a1"
  top: "stage2_1/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_1/a2/bn"
  type: "BatchNorm"
  bottom: "stage2_1/a2"
  top: "stage2_1/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_1/a2/scale"
  type: "Scale"
  bottom: "stage2_1/a2"
  top: "stage2_1/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/a2/relu"
  type: "ReLU"
  bottom: "stage2_1/a2"
  top: "stage2_1/a2"
}
layer {
  name: "stage2_1/b1"
  type: "Convolution"
  bottom: "stage1/pool"
  top: "stage2_1/b1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_1/b1/bn"
  type: "BatchNorm"
  bottom: "stage2_1/b1"
  top: "stage2_1/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_1/b1/scale"
  type: "Scale"
  bottom: "stage2_1/b1"
  top: "stage2_1/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/b1/relu"
  type: "ReLU"
  bottom: "stage2_1/b1"
  top: "stage2_1/b1"
}
layer {
  name: "stage2_1/b2"
  type: "Convolution"
  bottom: "stage2_1/b1"
  top: "stage2_1/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_1/b2/bn"
  type: "BatchNorm"
  bottom: "stage2_1/b2"
  top: "stage2_1/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_1/b2/scale"
  type: "Scale"
  bottom: "stage2_1/b2"
  top: "stage2_1/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/b2/relu"
  type: "ReLU"
  bottom: "stage2_1/b2"
  top: "stage2_1/b2"
}
layer {
  name: "stage2_1/b3"
  type: "Convolution"
  bottom: "stage2_1/b2"
  top: "stage2_1/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_1/b3/bn"
  type: "BatchNorm"
  bottom: "stage2_1/b3"
  top: "stage2_1/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_1/b3/scale"
  type: "Scale"
  bottom: "stage2_1/b3"
  top: "stage2_1/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/b3/relu"
  type: "ReLU"
  bottom: "stage2_1/b3"
  top: "stage2_1/b3"
}
layer {
  name: "stage2_1"
  type: "Concat"
  bottom: "stage1/pool" 
  bottom: "stage2_1/a2" 
  bottom: "stage2_1/b3" 
  top: "stage2_1"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2_2/a1"
  type: "Convolution"
  bottom: "stage2_1"
  top: "stage2_2/a1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_2/a1/bn"
  type: "BatchNorm"
  bottom: "stage2_2/a1"
  top: "stage2_2/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_2/a1/scale"
  type: "Scale"
  bottom: "stage2_2/a1"
  top: "stage2_2/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/a1/relu"
  type: "ReLU"
  bottom: "stage2_2/a1"
  top: "stage2_2/a1"
}
layer {
  name: "stage2_2/a2"
  type: "Convolution"
  bottom: "stage2_2/a1"
  top: "stage2_2/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_2/a2/bn"
  type: "BatchNorm"
  bottom: "stage2_2/a2"
  top: "stage2_2/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_2/a2/scale"
  type: "Scale"
  bottom: "stage2_2/a2"
  top: "stage2_2/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/a2/relu"
  type: "ReLU"
  bottom: "stage2_2/a2"
  top: "stage2_2/a2"
}
layer {
  name: "stage2_2/b1"
  type: "Convolution"
  bottom: "stage2_1"
  top: "stage2_2/b1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_2/b1/bn"
  type: "BatchNorm"
  bottom: "stage2_2/b1"
  top: "stage2_2/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_2/b1/scale"
  type: "Scale"
  bottom: "stage2_2/b1"
  top: "stage2_2/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/b1/relu"
  type: "ReLU"
  bottom: "stage2_2/b1"
  top: "stage2_2/b1"
}
layer {
  name: "stage2_2/b2"
  type: "Convolution"
  bottom: "stage2_2/b1"
  top: "stage2_2/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_2/b2/bn"
  type: "BatchNorm"
  bottom: "stage2_2/b2"
  top: "stage2_2/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_2/b2/scale"
  type: "Scale"
  bottom: "stage2_2/b2"
  top: "stage2_2/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/b2/relu"
  type: "ReLU"
  bottom: "stage2_2/b2"
  top: "stage2_2/b2"
}
layer {
  name: "stage2_2/b3"
  type: "Convolution"
  bottom: "stage2_2/b2"
  top: "stage2_2/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_2/b3/bn"
  type: "BatchNorm"
  bottom: "stage2_2/b3"
  top: "stage2_2/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_2/b3/scale"
  type: "Scale"
  bottom: "stage2_2/b3"
  top: "stage2_2/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/b3/relu"
  type: "ReLU"
  bottom: "stage2_2/b3"
  top: "stage2_2/b3"
}
layer {
  name: "stage2_2"
  type: "Concat"
  bottom: "stage2_1" 
  bottom: "stage2_2/a2" 
  bottom: "stage2_2/b3" 
  top: "stage2_2"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2_3/a1"
  type: "Convolution"
  bottom: "stage2_2"
  top: "stage2_3/a1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_3/a1/bn"
  type: "BatchNorm"
  bottom: "stage2_3/a1"
  top: "stage2_3/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_3/a1/scale"
  type: "Scale"
  bottom: "stage2_3/a1"
  top: "stage2_3/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/a1/relu"
  type: "ReLU"
  bottom: "stage2_3/a1"
  top: "stage2_3/a1"
}
layer {
  name: "stage2_3/a2"
  type: "Convolution"
  bottom: "stage2_3/a1"
  top: "stage2_3/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_3/a2/bn"
  type: "BatchNorm"
  bottom: "stage2_3/a2"
  top: "stage2_3/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_3/a2/scale"
  type: "Scale"
  bottom: "stage2_3/a2"
  top: "stage2_3/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/a2/relu"
  type: "ReLU"
  bottom: "stage2_3/a2"
  top: "stage2_3/a2"
}
layer {
  name: "stage2_3/b1"
  type: "Convolution"
  bottom: "stage2_2"
  top: "stage2_3/b1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_3/b1/bn"
  type: "BatchNorm"
  bottom: "stage2_3/b1"
  top: "stage2_3/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_3/b1/scale"
  type: "Scale"
  bottom: "stage2_3/b1"
  top: "stage2_3/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/b1/relu"
  type: "ReLU"
  bottom: "stage2_3/b1"
  top: "stage2_3/b1"
}
layer {
  name: "stage2_3/b2"
  type: "Convolution"
  bottom: "stage2_3/b1"
  top: "stage2_3/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_3/b2/bn"
  type: "BatchNorm"
  bottom: "stage2_3/b2"
  top: "stage2_3/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_3/b2/scale"
  type: "Scale"
  bottom: "stage2_3/b2"
  top: "stage2_3/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/b2/relu"
  type: "ReLU"
  bottom: "stage2_3/b2"
  top: "stage2_3/b2"
}
layer {
  name: "stage2_3/b3"
  type: "Convolution"
  bottom: "stage2_3/b2"
  top: "stage2_3/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_3/b3/bn"
  type: "BatchNorm"
  bottom: "stage2_3/b3"
  top: "stage2_3/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_3/b3/scale"
  type: "Scale"
  bottom: "stage2_3/b3"
  top: "stage2_3/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/b3/relu"
  type: "ReLU"
  bottom: "stage2_3/b3"
  top: "stage2_3/b3"
}
layer {
  name: "stage2_3"
  type: "Concat"
  bottom: "stage2_2" 
  bottom: "stage2_3/a2" 
  bottom: "stage2_3/b3" 
  top: "stage2_3"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2_4/a1"
  type: "Convolution"
  bottom: "stage2_3"
  top: "stage2_4/a1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_4/a1/bn"
  type: "BatchNorm"
  bottom: "stage2_4/a1"
  top: "stage2_4/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_4/a1/scale"
  type: "Scale"
  bottom: "stage2_4/a1"
  top: "stage2_4/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/a1/relu"
  type: "ReLU"
  bottom: "stage2_4/a1"
  top: "stage2_4/a1"
}
layer {
  name: "stage2_4/a2"
  type: "Convolution"
  bottom: "stage2_4/a1"
  top: "stage2_4/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_4/a2/bn"
  type: "BatchNorm"
  bottom: "stage2_4/a2"
  top: "stage2_4/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_4/a2/scale"
  type: "Scale"
  bottom: "stage2_4/a2"
  top: "stage2_4/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/a2/relu"
  type: "ReLU"
  bottom: "stage2_4/a2"
  top: "stage2_4/a2"
}
layer {
  name: "stage2_4/b1"
  type: "Convolution"
  bottom: "stage2_3"
  top: "stage2_4/b1"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_4/b1/bn"
  type: "BatchNorm"
  bottom: "stage2_4/b1"
  top: "stage2_4/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_4/b1/scale"
  type: "Scale"
  bottom: "stage2_4/b1"
  top: "stage2_4/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/b1/relu"
  type: "ReLU"
  bottom: "stage2_4/b1"
  top: "stage2_4/b1"
}
layer {
  name: "stage2_4/b2"
  type: "Convolution"
  bottom: "stage2_4/b1"
  top: "stage2_4/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_4/b2/bn"
  type: "BatchNorm"
  bottom: "stage2_4/b2"
  top: "stage2_4/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_4/b2/scale"
  type: "Scale"
  bottom: "stage2_4/b2"
  top: "stage2_4/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/b2/relu"
  type: "ReLU"
  bottom: "stage2_4/b2"
  top: "stage2_4/b2"
}
layer {
  name: "stage2_4/b3"
  type: "Convolution"
  bottom: "stage2_4/b2"
  top: "stage2_4/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2_4/b3/bn"
  type: "BatchNorm"
  bottom: "stage2_4/b3"
  top: "stage2_4/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2_4/b3/scale"
  type: "Scale"
  bottom: "stage2_4/b3"
  top: "stage2_4/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/b3/relu"
  type: "ReLU"
  bottom: "stage2_4/b3"
  top: "stage2_4/b3"
}
layer {
  name: "stage2_4"
  type: "Concat"
  bottom: "stage2_3" 
  bottom: "stage2_4/a2" 
  bottom: "stage2_4/b3" 
  top: "stage2_4"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2"
  type: "Convolution"
  bottom: "stage2_4"
  top: "stage2"
  convolution_param {
    num_output: 256
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage2/bn"
  type: "BatchNorm"
  bottom: "stage2"
  top: "stage2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage2/scale"
  type: "Scale"
  bottom: "stage2"
  top: "stage2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2/relu"
  type: "ReLU"
  bottom: "stage2"
  top: "stage2"
}
layer {
  name: "stage2/pool"
  type: "Pooling"
  bottom: "stage2"
  top: "stage2/pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage3_1/a1"
  type: "Convolution"
  bottom: "stage2/pool"
  top: "stage3_1/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_1/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_1/a1"
  top: "stage3_1/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_1/a1/scale"
  type: "Scale"
  bottom: "stage3_1/a1"
  top: "stage3_1/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/a1/relu"
  type: "ReLU"
  bottom: "stage3_1/a1"
  top: "stage3_1/a1"
}
layer {
  name: "stage3_1/a2"
  type: "Convolution"
  bottom: "stage3_1/a1"
  top: "stage3_1/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_1/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_1/a2"
  top: "stage3_1/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_1/a2/scale"
  type: "Scale"
  bottom: "stage3_1/a2"
  top: "stage3_1/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/a2/relu"
  type: "ReLU"
  bottom: "stage3_1/a2"
  top: "stage3_1/a2"
}
layer {
  name: "stage3_1/b1"
  type: "Convolution"
  bottom: "stage2/pool"
  top: "stage3_1/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_1/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_1/b1"
  top: "stage3_1/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_1/b1/scale"
  type: "Scale"
  bottom: "stage3_1/b1"
  top: "stage3_1/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/b1/relu"
  type: "ReLU"
  bottom: "stage3_1/b1"
  top: "stage3_1/b1"
}
layer {
  name: "stage3_1/b2"
  type: "Convolution"
  bottom: "stage3_1/b1"
  top: "stage3_1/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_1/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_1/b2"
  top: "stage3_1/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_1/b2/scale"
  type: "Scale"
  bottom: "stage3_1/b2"
  top: "stage3_1/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/b2/relu"
  type: "ReLU"
  bottom: "stage3_1/b2"
  top: "stage3_1/b2"
}
layer {
  name: "stage3_1/b3"
  type: "Convolution"
  bottom: "stage3_1/b2"
  top: "stage3_1/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_1/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_1/b3"
  top: "stage3_1/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_1/b3/scale"
  type: "Scale"
  bottom: "stage3_1/b3"
  top: "stage3_1/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/b3/relu"
  type: "ReLU"
  bottom: "stage3_1/b3"
  top: "stage3_1/b3"
}
layer {
  name: "stage3_1"
  type: "Concat"
  bottom: "stage2/pool" 
  bottom: "stage3_1/a2" 
  bottom: "stage3_1/b3" 
  top: "stage3_1"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_2/a1"
  type: "Convolution"
  bottom: "stage3_1"
  top: "stage3_2/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_2/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_2/a1"
  top: "stage3_2/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_2/a1/scale"
  type: "Scale"
  bottom: "stage3_2/a1"
  top: "stage3_2/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/a1/relu"
  type: "ReLU"
  bottom: "stage3_2/a1"
  top: "stage3_2/a1"
}
layer {
  name: "stage3_2/a2"
  type: "Convolution"
  bottom: "stage3_2/a1"
  top: "stage3_2/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_2/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_2/a2"
  top: "stage3_2/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_2/a2/scale"
  type: "Scale"
  bottom: "stage3_2/a2"
  top: "stage3_2/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/a2/relu"
  type: "ReLU"
  bottom: "stage3_2/a2"
  top: "stage3_2/a2"
}
layer {
  name: "stage3_2/b1"
  type: "Convolution"
  bottom: "stage3_1"
  top: "stage3_2/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_2/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_2/b1"
  top: "stage3_2/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_2/b1/scale"
  type: "Scale"
  bottom: "stage3_2/b1"
  top: "stage3_2/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/b1/relu"
  type: "ReLU"
  bottom: "stage3_2/b1"
  top: "stage3_2/b1"
}
layer {
  name: "stage3_2/b2"
  type: "Convolution"
  bottom: "stage3_2/b1"
  top: "stage3_2/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_2/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_2/b2"
  top: "stage3_2/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_2/b2/scale"
  type: "Scale"
  bottom: "stage3_2/b2"
  top: "stage3_2/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/b2/relu"
  type: "ReLU"
  bottom: "stage3_2/b2"
  top: "stage3_2/b2"
}
layer {
  name: "stage3_2/b3"
  type: "Convolution"
  bottom: "stage3_2/b2"
  top: "stage3_2/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_2/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_2/b3"
  top: "stage3_2/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_2/b3/scale"
  type: "Scale"
  bottom: "stage3_2/b3"
  top: "stage3_2/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/b3/relu"
  type: "ReLU"
  bottom: "stage3_2/b3"
  top: "stage3_2/b3"
}
layer {
  name: "stage3_2"
  type: "Concat"
  bottom: "stage3_1" 
  bottom: "stage3_2/a2" 
  bottom: "stage3_2/b3" 
  top: "stage3_2"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_3/a1"
  type: "Convolution"
  bottom: "stage3_2"
  top: "stage3_3/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_3/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_3/a1"
  top: "stage3_3/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_3/a1/scale"
  type: "Scale"
  bottom: "stage3_3/a1"
  top: "stage3_3/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/a1/relu"
  type: "ReLU"
  bottom: "stage3_3/a1"
  top: "stage3_3/a1"
}
layer {
  name: "stage3_3/a2"
  type: "Convolution"
  bottom: "stage3_3/a1"
  top: "stage3_3/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_3/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_3/a2"
  top: "stage3_3/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_3/a2/scale"
  type: "Scale"
  bottom: "stage3_3/a2"
  top: "stage3_3/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/a2/relu"
  type: "ReLU"
  bottom: "stage3_3/a2"
  top: "stage3_3/a2"
}
layer {
  name: "stage3_3/b1"
  type: "Convolution"
  bottom: "stage3_2"
  top: "stage3_3/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_3/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_3/b1"
  top: "stage3_3/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_3/b1/scale"
  type: "Scale"
  bottom: "stage3_3/b1"
  top: "stage3_3/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/b1/relu"
  type: "ReLU"
  bottom: "stage3_3/b1"
  top: "stage3_3/b1"
}
layer {
  name: "stage3_3/b2"
  type: "Convolution"
  bottom: "stage3_3/b1"
  top: "stage3_3/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_3/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_3/b2"
  top: "stage3_3/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_3/b2/scale"
  type: "Scale"
  bottom: "stage3_3/b2"
  top: "stage3_3/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/b2/relu"
  type: "ReLU"
  bottom: "stage3_3/b2"
  top: "stage3_3/b2"
}
layer {
  name: "stage3_3/b3"
  type: "Convolution"
  bottom: "stage3_3/b2"
  top: "stage3_3/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_3/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_3/b3"
  top: "stage3_3/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_3/b3/scale"
  type: "Scale"
  bottom: "stage3_3/b3"
  top: "stage3_3/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/b3/relu"
  type: "ReLU"
  bottom: "stage3_3/b3"
  top: "stage3_3/b3"
}
layer {
  name: "stage3_3"
  type: "Concat"
  bottom: "stage3_2" 
  bottom: "stage3_3/a2" 
  bottom: "stage3_3/b3" 
  top: "stage3_3"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_4/a1"
  type: "Convolution"
  bottom: "stage3_3"
  top: "stage3_4/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_4/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_4/a1"
  top: "stage3_4/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_4/a1/scale"
  type: "Scale"
  bottom: "stage3_4/a1"
  top: "stage3_4/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/a1/relu"
  type: "ReLU"
  bottom: "stage3_4/a1"
  top: "stage3_4/a1"
}
layer {
  name: "stage3_4/a2"
  type: "Convolution"
  bottom: "stage3_4/a1"
  top: "stage3_4/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_4/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_4/a2"
  top: "stage3_4/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_4/a2/scale"
  type: "Scale"
  bottom: "stage3_4/a2"
  top: "stage3_4/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/a2/relu"
  type: "ReLU"
  bottom: "stage3_4/a2"
  top: "stage3_4/a2"
}
layer {
  name: "stage3_4/b1"
  type: "Convolution"
  bottom: "stage3_3"
  top: "stage3_4/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_4/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_4/b1"
  top: "stage3_4/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_4/b1/scale"
  type: "Scale"
  bottom: "stage3_4/b1"
  top: "stage3_4/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/b1/relu"
  type: "ReLU"
  bottom: "stage3_4/b1"
  top: "stage3_4/b1"
}
layer {
  name: "stage3_4/b2"
  type: "Convolution"
  bottom: "stage3_4/b1"
  top: "stage3_4/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_4/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_4/b2"
  top: "stage3_4/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_4/b2/scale"
  type: "Scale"
  bottom: "stage3_4/b2"
  top: "stage3_4/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/b2/relu"
  type: "ReLU"
  bottom: "stage3_4/b2"
  top: "stage3_4/b2"
}
layer {
  name: "stage3_4/b3"
  type: "Convolution"
  bottom: "stage3_4/b2"
  top: "stage3_4/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_4/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_4/b3"
  top: "stage3_4/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_4/b3/scale"
  type: "Scale"
  bottom: "stage3_4/b3"
  top: "stage3_4/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/b3/relu"
  type: "ReLU"
  bottom: "stage3_4/b3"
  top: "stage3_4/b3"
}
layer {
  name: "stage3_4"
  type: "Concat"
  bottom: "stage3_3" 
  bottom: "stage3_4/a2" 
  bottom: "stage3_4/b3" 
  top: "stage3_4"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_5/a1"
  type: "Convolution"
  bottom: "stage3_4"
  top: "stage3_5/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_5/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_5/a1"
  top: "stage3_5/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_5/a1/scale"
  type: "Scale"
  bottom: "stage3_5/a1"
  top: "stage3_5/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/a1/relu"
  type: "ReLU"
  bottom: "stage3_5/a1"
  top: "stage3_5/a1"
}
layer {
  name: "stage3_5/a2"
  type: "Convolution"
  bottom: "stage3_5/a1"
  top: "stage3_5/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_5/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_5/a2"
  top: "stage3_5/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_5/a2/scale"
  type: "Scale"
  bottom: "stage3_5/a2"
  top: "stage3_5/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/a2/relu"
  type: "ReLU"
  bottom: "stage3_5/a2"
  top: "stage3_5/a2"
}
layer {
  name: "stage3_5/b1"
  type: "Convolution"
  bottom: "stage3_4"
  top: "stage3_5/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_5/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_5/b1"
  top: "stage3_5/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_5/b1/scale"
  type: "Scale"
  bottom: "stage3_5/b1"
  top: "stage3_5/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/b1/relu"
  type: "ReLU"
  bottom: "stage3_5/b1"
  top: "stage3_5/b1"
}
layer {
  name: "stage3_5/b2"
  type: "Convolution"
  bottom: "stage3_5/b1"
  top: "stage3_5/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_5/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_5/b2"
  top: "stage3_5/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_5/b2/scale"
  type: "Scale"
  bottom: "stage3_5/b2"
  top: "stage3_5/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/b2/relu"
  type: "ReLU"
  bottom: "stage3_5/b2"
  top: "stage3_5/b2"
}
layer {
  name: "stage3_5/b3"
  type: "Convolution"
  bottom: "stage3_5/b2"
  top: "stage3_5/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_5/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_5/b3"
  top: "stage3_5/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_5/b3/scale"
  type: "Scale"
  bottom: "stage3_5/b3"
  top: "stage3_5/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/b3/relu"
  type: "ReLU"
  bottom: "stage3_5/b3"
  top: "stage3_5/b3"
}
layer {
  name: "stage3_5"
  type: "Concat"
  bottom: "stage3_4" 
  bottom: "stage3_5/a2" 
  bottom: "stage3_5/b3" 
  top: "stage3_5"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_6/a1"
  type: "Convolution"
  bottom: "stage3_5"
  top: "stage3_6/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_6/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_6/a1"
  top: "stage3_6/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_6/a1/scale"
  type: "Scale"
  bottom: "stage3_6/a1"
  top: "stage3_6/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/a1/relu"
  type: "ReLU"
  bottom: "stage3_6/a1"
  top: "stage3_6/a1"
}
layer {
  name: "stage3_6/a2"
  type: "Convolution"
  bottom: "stage3_6/a1"
  top: "stage3_6/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_6/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_6/a2"
  top: "stage3_6/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_6/a2/scale"
  type: "Scale"
  bottom: "stage3_6/a2"
  top: "stage3_6/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/a2/relu"
  type: "ReLU"
  bottom: "stage3_6/a2"
  top: "stage3_6/a2"
}
layer {
  name: "stage3_6/b1"
  type: "Convolution"
  bottom: "stage3_5"
  top: "stage3_6/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_6/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_6/b1"
  top: "stage3_6/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_6/b1/scale"
  type: "Scale"
  bottom: "stage3_6/b1"
  top: "stage3_6/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/b1/relu"
  type: "ReLU"
  bottom: "stage3_6/b1"
  top: "stage3_6/b1"
}
layer {
  name: "stage3_6/b2"
  type: "Convolution"
  bottom: "stage3_6/b1"
  top: "stage3_6/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_6/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_6/b2"
  top: "stage3_6/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_6/b2/scale"
  type: "Scale"
  bottom: "stage3_6/b2"
  top: "stage3_6/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/b2/relu"
  type: "ReLU"
  bottom: "stage3_6/b2"
  top: "stage3_6/b2"
}
layer {
  name: "stage3_6/b3"
  type: "Convolution"
  bottom: "stage3_6/b2"
  top: "stage3_6/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_6/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_6/b3"
  top: "stage3_6/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_6/b3/scale"
  type: "Scale"
  bottom: "stage3_6/b3"
  top: "stage3_6/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/b3/relu"
  type: "ReLU"
  bottom: "stage3_6/b3"
  top: "stage3_6/b3"
}
layer {
  name: "stage3_6"
  type: "Concat"
  bottom: "stage3_5" 
  bottom: "stage3_6/a2" 
  bottom: "stage3_6/b3" 
  top: "stage3_6"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_7/a1"
  type: "Convolution"
  bottom: "stage3_6"
  top: "stage3_7/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_7/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_7/a1"
  top: "stage3_7/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_7/a1/scale"
  type: "Scale"
  bottom: "stage3_7/a1"
  top: "stage3_7/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/a1/relu"
  type: "ReLU"
  bottom: "stage3_7/a1"
  top: "stage3_7/a1"
}
layer {
  name: "stage3_7/a2"
  type: "Convolution"
  bottom: "stage3_7/a1"
  top: "stage3_7/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_7/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_7/a2"
  top: "stage3_7/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_7/a2/scale"
  type: "Scale"
  bottom: "stage3_7/a2"
  top: "stage3_7/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/a2/relu"
  type: "ReLU"
  bottom: "stage3_7/a2"
  top: "stage3_7/a2"
}
layer {
  name: "stage3_7/b1"
  type: "Convolution"
  bottom: "stage3_6"
  top: "stage3_7/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_7/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_7/b1"
  top: "stage3_7/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_7/b1/scale"
  type: "Scale"
  bottom: "stage3_7/b1"
  top: "stage3_7/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/b1/relu"
  type: "ReLU"
  bottom: "stage3_7/b1"
  top: "stage3_7/b1"
}
layer {
  name: "stage3_7/b2"
  type: "Convolution"
  bottom: "stage3_7/b1"
  top: "stage3_7/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_7/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_7/b2"
  top: "stage3_7/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_7/b2/scale"
  type: "Scale"
  bottom: "stage3_7/b2"
  top: "stage3_7/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/b2/relu"
  type: "ReLU"
  bottom: "stage3_7/b2"
  top: "stage3_7/b2"
}
layer {
  name: "stage3_7/b3"
  type: "Convolution"
  bottom: "stage3_7/b2"
  top: "stage3_7/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_7/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_7/b3"
  top: "stage3_7/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_7/b3/scale"
  type: "Scale"
  bottom: "stage3_7/b3"
  top: "stage3_7/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/b3/relu"
  type: "ReLU"
  bottom: "stage3_7/b3"
  top: "stage3_7/b3"
}
layer {
  name: "stage3_7"
  type: "Concat"
  bottom: "stage3_6" 
  bottom: "stage3_7/a2" 
  bottom: "stage3_7/b3" 
  top: "stage3_7"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_8/a1"
  type: "Convolution"
  bottom: "stage3_7"
  top: "stage3_8/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_8/a1/bn"
  type: "BatchNorm"
  bottom: "stage3_8/a1"
  top: "stage3_8/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_8/a1/scale"
  type: "Scale"
  bottom: "stage3_8/a1"
  top: "stage3_8/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/a1/relu"
  type: "ReLU"
  bottom: "stage3_8/a1"
  top: "stage3_8/a1"
}
layer {
  name: "stage3_8/a2"
  type: "Convolution"
  bottom: "stage3_8/a1"
  top: "stage3_8/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_8/a2/bn"
  type: "BatchNorm"
  bottom: "stage3_8/a2"
  top: "stage3_8/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_8/a2/scale"
  type: "Scale"
  bottom: "stage3_8/a2"
  top: "stage3_8/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/a2/relu"
  type: "ReLU"
  bottom: "stage3_8/a2"
  top: "stage3_8/a2"
}
layer {
  name: "stage3_8/b1"
  type: "Convolution"
  bottom: "stage3_7"
  top: "stage3_8/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_8/b1/bn"
  type: "BatchNorm"
  bottom: "stage3_8/b1"
  top: "stage3_8/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_8/b1/scale"
  type: "Scale"
  bottom: "stage3_8/b1"
  top: "stage3_8/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/b1/relu"
  type: "ReLU"
  bottom: "stage3_8/b1"
  top: "stage3_8/b1"
}
layer {
  name: "stage3_8/b2"
  type: "Convolution"
  bottom: "stage3_8/b1"
  top: "stage3_8/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_8/b2/bn"
  type: "BatchNorm"
  bottom: "stage3_8/b2"
  top: "stage3_8/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_8/b2/scale"
  type: "Scale"
  bottom: "stage3_8/b2"
  top: "stage3_8/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/b2/relu"
  type: "ReLU"
  bottom: "stage3_8/b2"
  top: "stage3_8/b2"
}
layer {
  name: "stage3_8/b3"
  type: "Convolution"
  bottom: "stage3_8/b2"
  top: "stage3_8/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3_8/b3/bn"
  type: "BatchNorm"
  bottom: "stage3_8/b3"
  top: "stage3_8/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3_8/b3/scale"
  type: "Scale"
  bottom: "stage3_8/b3"
  top: "stage3_8/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/b3/relu"
  type: "ReLU"
  bottom: "stage3_8/b3"
  top: "stage3_8/b3"
}
layer {
  name: "stage3_8"
  type: "Concat"
  bottom: "stage3_7" 
  bottom: "stage3_8/a2" 
  bottom: "stage3_8/b3" 
  top: "stage3_8"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3"
  type: "Convolution"
  bottom: "stage3_8"
  top: "stage3"
  convolution_param {
    num_output: 512
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage3/bn"
  type: "BatchNorm"
  bottom: "stage3"
  top: "stage3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage3/scale"
  type: "Scale"
  bottom: "stage3"
  top: "stage3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3/relu"
  type: "ReLU"
  bottom: "stage3"
  top: "stage3"
}
layer {
  name: "stage3/pool"
  type: "Pooling"
  bottom: "stage3"
  top: "stage3/pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage4_1/a1"
  type: "Convolution"
  bottom: "stage3/pool"
  top: "stage4_1/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_1/a1/bn"
  type: "BatchNorm"
  bottom: "stage4_1/a1"
  top: "stage4_1/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_1/a1/scale"
  type: "Scale"
  bottom: "stage4_1/a1"
  top: "stage4_1/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/a1/relu"
  type: "ReLU"
  bottom: "stage4_1/a1"
  top: "stage4_1/a1"
}
layer {
  name: "stage4_1/a2"
  type: "Convolution"
  bottom: "stage4_1/a1"
  top: "stage4_1/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_1/a2/bn"
  type: "BatchNorm"
  bottom: "stage4_1/a2"
  top: "stage4_1/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_1/a2/scale"
  type: "Scale"
  bottom: "stage4_1/a2"
  top: "stage4_1/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/a2/relu"
  type: "ReLU"
  bottom: "stage4_1/a2"
  top: "stage4_1/a2"
}
layer {
  name: "stage4_1/b1"
  type: "Convolution"
  bottom: "stage3/pool"
  top: "stage4_1/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_1/b1/bn"
  type: "BatchNorm"
  bottom: "stage4_1/b1"
  top: "stage4_1/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_1/b1/scale"
  type: "Scale"
  bottom: "stage4_1/b1"
  top: "stage4_1/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/b1/relu"
  type: "ReLU"
  bottom: "stage4_1/b1"
  top: "stage4_1/b1"
}
layer {
  name: "stage4_1/b2"
  type: "Convolution"
  bottom: "stage4_1/b1"
  top: "stage4_1/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_1/b2/bn"
  type: "BatchNorm"
  bottom: "stage4_1/b2"
  top: "stage4_1/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_1/b2/scale"
  type: "Scale"
  bottom: "stage4_1/b2"
  top: "stage4_1/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/b2/relu"
  type: "ReLU"
  bottom: "stage4_1/b2"
  top: "stage4_1/b2"
}
layer {
  name: "stage4_1/b3"
  type: "Convolution"
  bottom: "stage4_1/b2"
  top: "stage4_1/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_1/b3/bn"
  type: "BatchNorm"
  bottom: "stage4_1/b3"
  top: "stage4_1/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_1/b3/scale"
  type: "Scale"
  bottom: "stage4_1/b3"
  top: "stage4_1/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/b3/relu"
  type: "ReLU"
  bottom: "stage4_1/b3"
  top: "stage4_1/b3"
}
layer {
  name: "stage4_1"
  type: "Concat"
  bottom: "stage3/pool" 
  bottom: "stage4_1/a2" 
  bottom: "stage4_1/b3" 
  top: "stage4_1"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_2/a1"
  type: "Convolution"
  bottom: "stage4_1"
  top: "stage4_2/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_2/a1/bn"
  type: "BatchNorm"
  bottom: "stage4_2/a1"
  top: "stage4_2/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_2/a1/scale"
  type: "Scale"
  bottom: "stage4_2/a1"
  top: "stage4_2/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/a1/relu"
  type: "ReLU"
  bottom: "stage4_2/a1"
  top: "stage4_2/a1"
}
layer {
  name: "stage4_2/a2"
  type: "Convolution"
  bottom: "stage4_2/a1"
  top: "stage4_2/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_2/a2/bn"
  type: "BatchNorm"
  bottom: "stage4_2/a2"
  top: "stage4_2/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_2/a2/scale"
  type: "Scale"
  bottom: "stage4_2/a2"
  top: "stage4_2/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/a2/relu"
  type: "ReLU"
  bottom: "stage4_2/a2"
  top: "stage4_2/a2"
}
layer {
  name: "stage4_2/b1"
  type: "Convolution"
  bottom: "stage4_1"
  top: "stage4_2/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_2/b1/bn"
  type: "BatchNorm"
  bottom: "stage4_2/b1"
  top: "stage4_2/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_2/b1/scale"
  type: "Scale"
  bottom: "stage4_2/b1"
  top: "stage4_2/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/b1/relu"
  type: "ReLU"
  bottom: "stage4_2/b1"
  top: "stage4_2/b1"
}
layer {
  name: "stage4_2/b2"
  type: "Convolution"
  bottom: "stage4_2/b1"
  top: "stage4_2/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_2/b2/bn"
  type: "BatchNorm"
  bottom: "stage4_2/b2"
  top: "stage4_2/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_2/b2/scale"
  type: "Scale"
  bottom: "stage4_2/b2"
  top: "stage4_2/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/b2/relu"
  type: "ReLU"
  bottom: "stage4_2/b2"
  top: "stage4_2/b2"
}
layer {
  name: "stage4_2/b3"
  type: "Convolution"
  bottom: "stage4_2/b2"
  top: "stage4_2/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_2/b3/bn"
  type: "BatchNorm"
  bottom: "stage4_2/b3"
  top: "stage4_2/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_2/b3/scale"
  type: "Scale"
  bottom: "stage4_2/b3"
  top: "stage4_2/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/b3/relu"
  type: "ReLU"
  bottom: "stage4_2/b3"
  top: "stage4_2/b3"
}
layer {
  name: "stage4_2"
  type: "Concat"
  bottom: "stage4_1" 
  bottom: "stage4_2/a2" 
  bottom: "stage4_2/b3" 
  top: "stage4_2"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_3/a1"
  type: "Convolution"
  bottom: "stage4_2"
  top: "stage4_3/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_3/a1/bn"
  type: "BatchNorm"
  bottom: "stage4_3/a1"
  top: "stage4_3/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_3/a1/scale"
  type: "Scale"
  bottom: "stage4_3/a1"
  top: "stage4_3/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/a1/relu"
  type: "ReLU"
  bottom: "stage4_3/a1"
  top: "stage4_3/a1"
}
layer {
  name: "stage4_3/a2"
  type: "Convolution"
  bottom: "stage4_3/a1"
  top: "stage4_3/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_3/a2/bn"
  type: "BatchNorm"
  bottom: "stage4_3/a2"
  top: "stage4_3/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_3/a2/scale"
  type: "Scale"
  bottom: "stage4_3/a2"
  top: "stage4_3/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/a2/relu"
  type: "ReLU"
  bottom: "stage4_3/a2"
  top: "stage4_3/a2"
}
layer {
  name: "stage4_3/b1"
  type: "Convolution"
  bottom: "stage4_2"
  top: "stage4_3/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_3/b1/bn"
  type: "BatchNorm"
  bottom: "stage4_3/b1"
  top: "stage4_3/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_3/b1/scale"
  type: "Scale"
  bottom: "stage4_3/b1"
  top: "stage4_3/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/b1/relu"
  type: "ReLU"
  bottom: "stage4_3/b1"
  top: "stage4_3/b1"
}
layer {
  name: "stage4_3/b2"
  type: "Convolution"
  bottom: "stage4_3/b1"
  top: "stage4_3/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_3/b2/bn"
  type: "BatchNorm"
  bottom: "stage4_3/b2"
  top: "stage4_3/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_3/b2/scale"
  type: "Scale"
  bottom: "stage4_3/b2"
  top: "stage4_3/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/b2/relu"
  type: "ReLU"
  bottom: "stage4_3/b2"
  top: "stage4_3/b2"
}
layer {
  name: "stage4_3/b3"
  type: "Convolution"
  bottom: "stage4_3/b2"
  top: "stage4_3/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_3/b3/bn"
  type: "BatchNorm"
  bottom: "stage4_3/b3"
  top: "stage4_3/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_3/b3/scale"
  type: "Scale"
  bottom: "stage4_3/b3"
  top: "stage4_3/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/b3/relu"
  type: "ReLU"
  bottom: "stage4_3/b3"
  top: "stage4_3/b3"
}
layer {
  name: "stage4_3"
  type: "Concat"
  bottom: "stage4_2" 
  bottom: "stage4_3/a2" 
  bottom: "stage4_3/b3" 
  top: "stage4_3"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_4/a1"
  type: "Convolution"
  bottom: "stage4_3"
  top: "stage4_4/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_4/a1/bn"
  type: "BatchNorm"
  bottom: "stage4_4/a1"
  top: "stage4_4/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_4/a1/scale"
  type: "Scale"
  bottom: "stage4_4/a1"
  top: "stage4_4/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/a1/relu"
  type: "ReLU"
  bottom: "stage4_4/a1"
  top: "stage4_4/a1"
}
layer {
  name: "stage4_4/a2"
  type: "Convolution"
  bottom: "stage4_4/a1"
  top: "stage4_4/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_4/a2/bn"
  type: "BatchNorm"
  bottom: "stage4_4/a2"
  top: "stage4_4/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_4/a2/scale"
  type: "Scale"
  bottom: "stage4_4/a2"
  top: "stage4_4/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/a2/relu"
  type: "ReLU"
  bottom: "stage4_4/a2"
  top: "stage4_4/a2"
}
layer {
  name: "stage4_4/b1"
  type: "Convolution"
  bottom: "stage4_3"
  top: "stage4_4/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_4/b1/bn"
  type: "BatchNorm"
  bottom: "stage4_4/b1"
  top: "stage4_4/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_4/b1/scale"
  type: "Scale"
  bottom: "stage4_4/b1"
  top: "stage4_4/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/b1/relu"
  type: "ReLU"
  bottom: "stage4_4/b1"
  top: "stage4_4/b1"
}
layer {
  name: "stage4_4/b2"
  type: "Convolution"
  bottom: "stage4_4/b1"
  top: "stage4_4/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_4/b2/bn"
  type: "BatchNorm"
  bottom: "stage4_4/b2"
  top: "stage4_4/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_4/b2/scale"
  type: "Scale"
  bottom: "stage4_4/b2"
  top: "stage4_4/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/b2/relu"
  type: "ReLU"
  bottom: "stage4_4/b2"
  top: "stage4_4/b2"
}
layer {
  name: "stage4_4/b3"
  type: "Convolution"
  bottom: "stage4_4/b2"
  top: "stage4_4/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_4/b3/bn"
  type: "BatchNorm"
  bottom: "stage4_4/b3"
  top: "stage4_4/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_4/b3/scale"
  type: "Scale"
  bottom: "stage4_4/b3"
  top: "stage4_4/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/b3/relu"
  type: "ReLU"
  bottom: "stage4_4/b3"
  top: "stage4_4/b3"
}
layer {
  name: "stage4_4"
  type: "Concat"
  bottom: "stage4_3" 
  bottom: "stage4_4/a2" 
  bottom: "stage4_4/b3" 
  top: "stage4_4"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_5/a1"
  type: "Convolution"
  bottom: "stage4_4"
  top: "stage4_5/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_5/a1/bn"
  type: "BatchNorm"
  bottom: "stage4_5/a1"
  top: "stage4_5/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_5/a1/scale"
  type: "Scale"
  bottom: "stage4_5/a1"
  top: "stage4_5/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/a1/relu"
  type: "ReLU"
  bottom: "stage4_5/a1"
  top: "stage4_5/a1"
}
layer {
  name: "stage4_5/a2"
  type: "Convolution"
  bottom: "stage4_5/a1"
  top: "stage4_5/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_5/a2/bn"
  type: "BatchNorm"
  bottom: "stage4_5/a2"
  top: "stage4_5/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_5/a2/scale"
  type: "Scale"
  bottom: "stage4_5/a2"
  top: "stage4_5/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/a2/relu"
  type: "ReLU"
  bottom: "stage4_5/a2"
  top: "stage4_5/a2"
}
layer {
  name: "stage4_5/b1"
  type: "Convolution"
  bottom: "stage4_4"
  top: "stage4_5/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_5/b1/bn"
  type: "BatchNorm"
  bottom: "stage4_5/b1"
  top: "stage4_5/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_5/b1/scale"
  type: "Scale"
  bottom: "stage4_5/b1"
  top: "stage4_5/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/b1/relu"
  type: "ReLU"
  bottom: "stage4_5/b1"
  top: "stage4_5/b1"
}
layer {
  name: "stage4_5/b2"
  type: "Convolution"
  bottom: "stage4_5/b1"
  top: "stage4_5/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_5/b2/bn"
  type: "BatchNorm"
  bottom: "stage4_5/b2"
  top: "stage4_5/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_5/b2/scale"
  type: "Scale"
  bottom: "stage4_5/b2"
  top: "stage4_5/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/b2/relu"
  type: "ReLU"
  bottom: "stage4_5/b2"
  top: "stage4_5/b2"
}
layer {
  name: "stage4_5/b3"
  type: "Convolution"
  bottom: "stage4_5/b2"
  top: "stage4_5/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_5/b3/bn"
  type: "BatchNorm"
  bottom: "stage4_5/b3"
  top: "stage4_5/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_5/b3/scale"
  type: "Scale"
  bottom: "stage4_5/b3"
  top: "stage4_5/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/b3/relu"
  type: "ReLU"
  bottom: "stage4_5/b3"
  top: "stage4_5/b3"
}
layer {
  name: "stage4_5"
  type: "Concat"
  bottom: "stage4_4" 
  bottom: "stage4_5/a2" 
  bottom: "stage4_5/b3" 
  top: "stage4_5"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_6/a1"
  type: "Convolution"
  bottom: "stage4_5"
  top: "stage4_6/a1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_6/a1/bn"
  type: "BatchNorm"
  bottom: "stage4_6/a1"
  top: "stage4_6/a1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_6/a1/scale"
  type: "Scale"
  bottom: "stage4_6/a1"
  top: "stage4_6/a1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/a1/relu"
  type: "ReLU"
  bottom: "stage4_6/a1"
  top: "stage4_6/a1"
}
layer {
  name: "stage4_6/a2"
  type: "Convolution"
  bottom: "stage4_6/a1"
  top: "stage4_6/a2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_6/a2/bn"
  type: "BatchNorm"
  bottom: "stage4_6/a2"
  top: "stage4_6/a2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_6/a2/scale"
  type: "Scale"
  bottom: "stage4_6/a2"
  top: "stage4_6/a2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/a2/relu"
  type: "ReLU"
  bottom: "stage4_6/a2"
  top: "stage4_6/a2"
}
layer {
  name: "stage4_6/b1"
  type: "Convolution"
  bottom: "stage4_5"
  top: "stage4_6/b1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_6/b1/bn"
  type: "BatchNorm"
  bottom: "stage4_6/b1"
  top: "stage4_6/b1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_6/b1/scale"
  type: "Scale"
  bottom: "stage4_6/b1"
  top: "stage4_6/b1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/b1/relu"
  type: "ReLU"
  bottom: "stage4_6/b1"
  top: "stage4_6/b1"
}
layer {
  name: "stage4_6/b2"
  type: "Convolution"
  bottom: "stage4_6/b1"
  top: "stage4_6/b2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_6/b2/bn"
  type: "BatchNorm"
  bottom: "stage4_6/b2"
  top: "stage4_6/b2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_6/b2/scale"
  type: "Scale"
  bottom: "stage4_6/b2"
  top: "stage4_6/b2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/b2/relu"
  type: "ReLU"
  bottom: "stage4_6/b2"
  top: "stage4_6/b2"
}
layer {
  name: "stage4_6/b3"
  type: "Convolution"
  bottom: "stage4_6/b2"
  top: "stage4_6/b3"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_6/b3/bn"
  type: "BatchNorm"
  bottom: "stage4_6/b3"
  top: "stage4_6/b3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4_6/b3/scale"
  type: "Scale"
  bottom: "stage4_6/b3"
  top: "stage4_6/b3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/b3/relu"
  type: "ReLU"
  bottom: "stage4_6/b3"
  top: "stage4_6/b3"
}
layer {
  name: "stage4_6"
  type: "Concat"
  bottom: "stage4_5" 
  bottom: "stage4_6/a2" 
  bottom: "stage4_6/b3" 
  top: "stage4_6"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4"
  type: "Convolution"
  bottom: "stage4_6"
  top: "stage4"
  convolution_param {
    num_output: 704
    bias_term: false
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4/bn"
  type: "BatchNorm"
  bottom: "stage4"
  top: "stage4"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  batch_norm_param {
    moving_average_fraction: 0.999000012875
    eps: 0.0010000000475
  }
}
layer {
  name: "stage4/scale"
  type: "Scale"
  bottom: "stage4"
  top: "stage4"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4/relu"
  type: "ReLU"
  bottom: "stage4"
  top: "stage4"
}
layer {
  name: "global_pool"
  type: "Pooling"
  bottom: "stage4"
  top: "global_pool"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "classifier"
  type: "InnerProduct"
  bottom: "global_pool"
  top: "classifier"
  inner_product_param {
    num_output: 1000
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "classifier"
  top: "prob"
}