deploy.prototxt

name: "pelee_SSD_304x304_deploy"
input: "data"
input_shape {
  dim: 1
  dim: 3
  dim: 304
  dim: 304
}
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"
    }
    bias_filler {
      type: "constant"
    }
  }
}
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
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
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"
    }
    bias_filler {
      type: "constant"
    }
  }
}
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: "stem/pool"
  type: "Pooling"
  bottom: "stem1"
  top: "stem/pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stem/concat"
  type: "Concat"
  bottom: "stem/pool"
  bottom: "stem2b"
  top: "stem/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stem3"
  type: "Convolution"
  bottom: "stem/concat"
  top: "stem3"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stem3/bn"
  type: "BatchNorm"
  bottom: "stem3"
  top: "stem3"
  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: "stem3/scale"
  type: "Scale"
  bottom: "stem3"
  top: "stem3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stem3/relu"
  type: "ReLU"
  bottom: "stem3"
  top: "stem3"
}
layer {
  name: "stage1_1/branch1a"
  type: "Convolution"
  bottom: "stem3"
  top: "stage1_1/branch1a"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage1_1/branch1a"
  top: "stage1_1/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage1_1/branch1a"
  top: "stage1_1/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/branch1a/relu"
  type: "ReLU"
  bottom: "stage1_1/branch1a"
  top: "stage1_1/branch1a"
}
layer {
  name: "stage1_1/branch1b"
  type: "Convolution"
  bottom: "stage1_1/branch1a"
  top: "stage1_1/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage1_1/branch1b"
  top: "stage1_1/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage1_1/branch1b"
  top: "stage1_1/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/branch1b/relu"
  type: "ReLU"
  bottom: "stage1_1/branch1b"
  top: "stage1_1/branch1b"
}
layer {
  name: "stage1_1/branch2a"
  type: "Convolution"
  bottom: "stem3"
  top: "stage1_1/branch2a"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage1_1/branch2a"
  top: "stage1_1/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage1_1/branch2a"
  top: "stage1_1/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/branch2a/relu"
  type: "ReLU"
  bottom: "stage1_1/branch2a"
  top: "stage1_1/branch2a"
}
layer {
  name: "stage1_1/branch2b"
  type: "Convolution"
  bottom: "stage1_1/branch2a"
  top: "stage1_1/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage1_1/branch2b"
  top: "stage1_1/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage1_1/branch2b"
  top: "stage1_1/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/branch2b/relu"
  type: "ReLU"
  bottom: "stage1_1/branch2b"
  top: "stage1_1/branch2b"
}
layer {
  name: "stage1_1/branch2c"
  type: "Convolution"
  bottom: "stage1_1/branch2b"
  top: "stage1_1/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage1_1/branch2c"
  top: "stage1_1/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage1_1/branch2c"
  top: "stage1_1/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_1/branch2c/relu"
  type: "ReLU"
  bottom: "stage1_1/branch2c"
  top: "stage1_1/branch2c"
}
layer {
  name: "stage1_1/concat"
  type: "Concat"
  bottom: "stem3"
  bottom: "stage1_1/branch1b"
  bottom: "stage1_1/branch2c"
  top: "stage1_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage1_2/branch1a"
  type: "Convolution"
  bottom: "stage1_1/concat"
  top: "stage1_2/branch1a"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage1_2/branch1a"
  top: "stage1_2/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage1_2/branch1a"
  top: "stage1_2/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/branch1a/relu"
  type: "ReLU"
  bottom: "stage1_2/branch1a"
  top: "stage1_2/branch1a"
}
layer {
  name: "stage1_2/branch1b"
  type: "Convolution"
  bottom: "stage1_2/branch1a"
  top: "stage1_2/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage1_2/branch1b"
  top: "stage1_2/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage1_2/branch1b"
  top: "stage1_2/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/branch1b/relu"
  type: "ReLU"
  bottom: "stage1_2/branch1b"
  top: "stage1_2/branch1b"
}
layer {
  name: "stage1_2/branch2a"
  type: "Convolution"
  bottom: "stage1_1/concat"
  top: "stage1_2/branch2a"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage1_2/branch2a"
  top: "stage1_2/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage1_2/branch2a"
  top: "stage1_2/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/branch2a/relu"
  type: "ReLU"
  bottom: "stage1_2/branch2a"
  top: "stage1_2/branch2a"
}
layer {
  name: "stage1_2/branch2b"
  type: "Convolution"
  bottom: "stage1_2/branch2a"
  top: "stage1_2/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage1_2/branch2b"
  top: "stage1_2/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage1_2/branch2b"
  top: "stage1_2/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/branch2b/relu"
  type: "ReLU"
  bottom: "stage1_2/branch2b"
  top: "stage1_2/branch2b"
}
layer {
  name: "stage1_2/branch2c"
  type: "Convolution"
  bottom: "stage1_2/branch2b"
  top: "stage1_2/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage1_2/branch2c"
  top: "stage1_2/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage1_2/branch2c"
  top: "stage1_2/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_2/branch2c/relu"
  type: "ReLU"
  bottom: "stage1_2/branch2c"
  top: "stage1_2/branch2c"
}
layer {
  name: "stage1_2/concat"
  type: "Concat"
  bottom: "stage1_1/concat"
  bottom: "stage1_2/branch1b"
  bottom: "stage1_2/branch2c"
  top: "stage1_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage1_3/branch1a"
  type: "Convolution"
  bottom: "stage1_2/concat"
  top: "stage1_3/branch1a"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage1_3/branch1a"
  top: "stage1_3/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage1_3/branch1a"
  top: "stage1_3/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/branch1a/relu"
  type: "ReLU"
  bottom: "stage1_3/branch1a"
  top: "stage1_3/branch1a"
}
layer {
  name: "stage1_3/branch1b"
  type: "Convolution"
  bottom: "stage1_3/branch1a"
  top: "stage1_3/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage1_3/branch1b"
  top: "stage1_3/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage1_3/branch1b"
  top: "stage1_3/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/branch1b/relu"
  type: "ReLU"
  bottom: "stage1_3/branch1b"
  top: "stage1_3/branch1b"
}
layer {
  name: "stage1_3/branch2a"
  type: "Convolution"
  bottom: "stage1_2/concat"
  top: "stage1_3/branch2a"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage1_3/branch2a"
  top: "stage1_3/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage1_3/branch2a"
  top: "stage1_3/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/branch2a/relu"
  type: "ReLU"
  bottom: "stage1_3/branch2a"
  top: "stage1_3/branch2a"
}
layer {
  name: "stage1_3/branch2b"
  type: "Convolution"
  bottom: "stage1_3/branch2a"
  top: "stage1_3/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage1_3/branch2b"
  top: "stage1_3/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage1_3/branch2b"
  top: "stage1_3/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/branch2b/relu"
  type: "ReLU"
  bottom: "stage1_3/branch2b"
  top: "stage1_3/branch2b"
}
layer {
  name: "stage1_3/branch2c"
  type: "Convolution"
  bottom: "stage1_3/branch2b"
  top: "stage1_3/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage1_3/branch2c"
  top: "stage1_3/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage1_3/branch2c"
  top: "stage1_3/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_3/branch2c/relu"
  type: "ReLU"
  bottom: "stage1_3/branch2c"
  top: "stage1_3/branch2c"
}
layer {
  name: "stage1_3/concat"
  type: "Concat"
  bottom: "stage1_2/concat"
  bottom: "stage1_3/branch1b"
  bottom: "stage1_3/branch2c"
  top: "stage1_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage1_tb"
  type: "Convolution"
  bottom: "stage1_3/concat"
  top: "stage1_tb"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage1_tb/bn"
  type: "BatchNorm"
  bottom: "stage1_tb"
  top: "stage1_tb"
  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_tb/scale"
  type: "Scale"
  bottom: "stage1_tb"
  top: "stage1_tb"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage1_tb/relu"
  type: "ReLU"
  bottom: "stage1_tb"
  top: "stage1_tb"
}
layer {
  name: "stage1_tb/pool"
  type: "Pooling"
  bottom: "stage1_tb"
  top: "stage1_tb/pool"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage2_1/branch1a"
  type: "Convolution"
  bottom: "stage1_tb/pool"
  top: "stage2_1/branch1a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage2_1/branch1a"
  top: "stage2_1/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage2_1/branch1a"
  top: "stage2_1/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/branch1a/relu"
  type: "ReLU"
  bottom: "stage2_1/branch1a"
  top: "stage2_1/branch1a"
}
layer {
  name: "stage2_1/branch1b"
  type: "Convolution"
  bottom: "stage2_1/branch1a"
  top: "stage2_1/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage2_1/branch1b"
  top: "stage2_1/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage2_1/branch1b"
  top: "stage2_1/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/branch1b/relu"
  type: "ReLU"
  bottom: "stage2_1/branch1b"
  top: "stage2_1/branch1b"
}
layer {
  name: "stage2_1/branch2a"
  type: "Convolution"
  bottom: "stage1_tb/pool"
  top: "stage2_1/branch2a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage2_1/branch2a"
  top: "stage2_1/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage2_1/branch2a"
  top: "stage2_1/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/branch2a/relu"
  type: "ReLU"
  bottom: "stage2_1/branch2a"
  top: "stage2_1/branch2a"
}
layer {
  name: "stage2_1/branch2b"
  type: "Convolution"
  bottom: "stage2_1/branch2a"
  top: "stage2_1/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage2_1/branch2b"
  top: "stage2_1/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage2_1/branch2b"
  top: "stage2_1/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/branch2b/relu"
  type: "ReLU"
  bottom: "stage2_1/branch2b"
  top: "stage2_1/branch2b"
}
layer {
  name: "stage2_1/branch2c"
  type: "Convolution"
  bottom: "stage2_1/branch2b"
  top: "stage2_1/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage2_1/branch2c"
  top: "stage2_1/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage2_1/branch2c"
  top: "stage2_1/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_1/branch2c/relu"
  type: "ReLU"
  bottom: "stage2_1/branch2c"
  top: "stage2_1/branch2c"
}
layer {
  name: "stage2_1/concat"
  type: "Concat"
  bottom: "stage1_tb/pool"
  bottom: "stage2_1/branch1b"
  bottom: "stage2_1/branch2c"
  top: "stage2_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2_2/branch1a"
  type: "Convolution"
  bottom: "stage2_1/concat"
  top: "stage2_2/branch1a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage2_2/branch1a"
  top: "stage2_2/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage2_2/branch1a"
  top: "stage2_2/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/branch1a/relu"
  type: "ReLU"
  bottom: "stage2_2/branch1a"
  top: "stage2_2/branch1a"
}
layer {
  name: "stage2_2/branch1b"
  type: "Convolution"
  bottom: "stage2_2/branch1a"
  top: "stage2_2/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage2_2/branch1b"
  top: "stage2_2/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage2_2/branch1b"
  top: "stage2_2/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/branch1b/relu"
  type: "ReLU"
  bottom: "stage2_2/branch1b"
  top: "stage2_2/branch1b"
}
layer {
  name: "stage2_2/branch2a"
  type: "Convolution"
  bottom: "stage2_1/concat"
  top: "stage2_2/branch2a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage2_2/branch2a"
  top: "stage2_2/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage2_2/branch2a"
  top: "stage2_2/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/branch2a/relu"
  type: "ReLU"
  bottom: "stage2_2/branch2a"
  top: "stage2_2/branch2a"
}
layer {
  name: "stage2_2/branch2b"
  type: "Convolution"
  bottom: "stage2_2/branch2a"
  top: "stage2_2/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage2_2/branch2b"
  top: "stage2_2/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage2_2/branch2b"
  top: "stage2_2/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/branch2b/relu"
  type: "ReLU"
  bottom: "stage2_2/branch2b"
  top: "stage2_2/branch2b"
}
layer {
  name: "stage2_2/branch2c"
  type: "Convolution"
  bottom: "stage2_2/branch2b"
  top: "stage2_2/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage2_2/branch2c"
  top: "stage2_2/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage2_2/branch2c"
  top: "stage2_2/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_2/branch2c/relu"
  type: "ReLU"
  bottom: "stage2_2/branch2c"
  top: "stage2_2/branch2c"
}
layer {
  name: "stage2_2/concat"
  type: "Concat"
  bottom: "stage2_1/concat"
  bottom: "stage2_2/branch1b"
  bottom: "stage2_2/branch2c"
  top: "stage2_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2_3/branch1a"
  type: "Convolution"
  bottom: "stage2_2/concat"
  top: "stage2_3/branch1a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage2_3/branch1a"
  top: "stage2_3/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage2_3/branch1a"
  top: "stage2_3/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/branch1a/relu"
  type: "ReLU"
  bottom: "stage2_3/branch1a"
  top: "stage2_3/branch1a"
}
layer {
  name: "stage2_3/branch1b"
  type: "Convolution"
  bottom: "stage2_3/branch1a"
  top: "stage2_3/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage2_3/branch1b"
  top: "stage2_3/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage2_3/branch1b"
  top: "stage2_3/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/branch1b/relu"
  type: "ReLU"
  bottom: "stage2_3/branch1b"
  top: "stage2_3/branch1b"
}
layer {
  name: "stage2_3/branch2a"
  type: "Convolution"
  bottom: "stage2_2/concat"
  top: "stage2_3/branch2a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage2_3/branch2a"
  top: "stage2_3/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage2_3/branch2a"
  top: "stage2_3/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/branch2a/relu"
  type: "ReLU"
  bottom: "stage2_3/branch2a"
  top: "stage2_3/branch2a"
}
layer {
  name: "stage2_3/branch2b"
  type: "Convolution"
  bottom: "stage2_3/branch2a"
  top: "stage2_3/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage2_3/branch2b"
  top: "stage2_3/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage2_3/branch2b"
  top: "stage2_3/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/branch2b/relu"
  type: "ReLU"
  bottom: "stage2_3/branch2b"
  top: "stage2_3/branch2b"
}
layer {
  name: "stage2_3/branch2c"
  type: "Convolution"
  bottom: "stage2_3/branch2b"
  top: "stage2_3/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage2_3/branch2c"
  top: "stage2_3/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage2_3/branch2c"
  top: "stage2_3/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_3/branch2c/relu"
  type: "ReLU"
  bottom: "stage2_3/branch2c"
  top: "stage2_3/branch2c"
}
layer {
  name: "stage2_3/concat"
  type: "Concat"
  bottom: "stage2_2/concat"
  bottom: "stage2_3/branch1b"
  bottom: "stage2_3/branch2c"
  top: "stage2_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2_4/branch1a"
  type: "Convolution"
  bottom: "stage2_3/concat"
  top: "stage2_4/branch1a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_4/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage2_4/branch1a"
  top: "stage2_4/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage2_4/branch1a"
  top: "stage2_4/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/branch1a/relu"
  type: "ReLU"
  bottom: "stage2_4/branch1a"
  top: "stage2_4/branch1a"
}
layer {
  name: "stage2_4/branch1b"
  type: "Convolution"
  bottom: "stage2_4/branch1a"
  top: "stage2_4/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_4/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage2_4/branch1b"
  top: "stage2_4/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage2_4/branch1b"
  top: "stage2_4/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/branch1b/relu"
  type: "ReLU"
  bottom: "stage2_4/branch1b"
  top: "stage2_4/branch1b"
}
layer {
  name: "stage2_4/branch2a"
  type: "Convolution"
  bottom: "stage2_3/concat"
  top: "stage2_4/branch2a"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_4/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage2_4/branch2a"
  top: "stage2_4/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage2_4/branch2a"
  top: "stage2_4/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/branch2a/relu"
  type: "ReLU"
  bottom: "stage2_4/branch2a"
  top: "stage2_4/branch2a"
}
layer {
  name: "stage2_4/branch2b"
  type: "Convolution"
  bottom: "stage2_4/branch2a"
  top: "stage2_4/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_4/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage2_4/branch2b"
  top: "stage2_4/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage2_4/branch2b"
  top: "stage2_4/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/branch2b/relu"
  type: "ReLU"
  bottom: "stage2_4/branch2b"
  top: "stage2_4/branch2b"
}
layer {
  name: "stage2_4/branch2c"
  type: "Convolution"
  bottom: "stage2_4/branch2b"
  top: "stage2_4/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_4/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage2_4/branch2c"
  top: "stage2_4/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage2_4/branch2c"
  top: "stage2_4/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_4/branch2c/relu"
  type: "ReLU"
  bottom: "stage2_4/branch2c"
  top: "stage2_4/branch2c"
}
layer {
  name: "stage2_4/concat"
  type: "Concat"
  bottom: "stage2_3/concat"
  bottom: "stage2_4/branch1b"
  bottom: "stage2_4/branch2c"
  top: "stage2_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage2_tb"
  type: "Convolution"
  bottom: "stage2_4/concat"
  top: "stage2_tb"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage2_tb/bn"
  type: "BatchNorm"
  bottom: "stage2_tb"
  top: "stage2_tb"
  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_tb/scale"
  type: "Scale"
  bottom: "stage2_tb"
  top: "stage2_tb"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage2_tb/relu"
  type: "ReLU"
  bottom: "stage2_tb"
  top: "stage2_tb"
}
layer {
  name: "stage2_tb/pool"
  type: "Pooling"
  bottom: "stage2_tb"
  top: "stage2_tb/pool"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage3_1/branch1a"
  type: "Convolution"
  bottom: "stage2_tb/pool"
  top: "stage3_1/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_1/branch1a"
  top: "stage3_1/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_1/branch1a"
  top: "stage3_1/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_1/branch1a"
  top: "stage3_1/branch1a"
}
layer {
  name: "stage3_1/branch1b"
  type: "Convolution"
  bottom: "stage3_1/branch1a"
  top: "stage3_1/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_1/branch1b"
  top: "stage3_1/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_1/branch1b"
  top: "stage3_1/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_1/branch1b"
  top: "stage3_1/branch1b"
}
layer {
  name: "stage3_1/branch2a"
  type: "Convolution"
  bottom: "stage2_tb/pool"
  top: "stage3_1/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_1/branch2a"
  top: "stage3_1/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_1/branch2a"
  top: "stage3_1/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_1/branch2a"
  top: "stage3_1/branch2a"
}
layer {
  name: "stage3_1/branch2b"
  type: "Convolution"
  bottom: "stage3_1/branch2a"
  top: "stage3_1/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_1/branch2b"
  top: "stage3_1/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_1/branch2b"
  top: "stage3_1/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_1/branch2b"
  top: "stage3_1/branch2b"
}
layer {
  name: "stage3_1/branch2c"
  type: "Convolution"
  bottom: "stage3_1/branch2b"
  top: "stage3_1/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_1/branch2c"
  top: "stage3_1/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_1/branch2c"
  top: "stage3_1/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_1/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_1/branch2c"
  top: "stage3_1/branch2c"
}
layer {
  name: "stage3_1/concat"
  type: "Concat"
  bottom: "stage2_tb/pool"
  bottom: "stage3_1/branch1b"
  bottom: "stage3_1/branch2c"
  top: "stage3_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_2/branch1a"
  type: "Convolution"
  bottom: "stage3_1/concat"
  top: "stage3_2/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_2/branch1a"
  top: "stage3_2/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_2/branch1a"
  top: "stage3_2/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_2/branch1a"
  top: "stage3_2/branch1a"
}
layer {
  name: "stage3_2/branch1b"
  type: "Convolution"
  bottom: "stage3_2/branch1a"
  top: "stage3_2/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_2/branch1b"
  top: "stage3_2/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_2/branch1b"
  top: "stage3_2/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_2/branch1b"
  top: "stage3_2/branch1b"
}
layer {
  name: "stage3_2/branch2a"
  type: "Convolution"
  bottom: "stage3_1/concat"
  top: "stage3_2/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_2/branch2a"
  top: "stage3_2/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_2/branch2a"
  top: "stage3_2/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_2/branch2a"
  top: "stage3_2/branch2a"
}
layer {
  name: "stage3_2/branch2b"
  type: "Convolution"
  bottom: "stage3_2/branch2a"
  top: "stage3_2/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_2/branch2b"
  top: "stage3_2/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_2/branch2b"
  top: "stage3_2/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_2/branch2b"
  top: "stage3_2/branch2b"
}
layer {
  name: "stage3_2/branch2c"
  type: "Convolution"
  bottom: "stage3_2/branch2b"
  top: "stage3_2/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_2/branch2c"
  top: "stage3_2/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_2/branch2c"
  top: "stage3_2/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_2/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_2/branch2c"
  top: "stage3_2/branch2c"
}
layer {
  name: "stage3_2/concat"
  type: "Concat"
  bottom: "stage3_1/concat"
  bottom: "stage3_2/branch1b"
  bottom: "stage3_2/branch2c"
  top: "stage3_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_3/branch1a"
  type: "Convolution"
  bottom: "stage3_2/concat"
  top: "stage3_3/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_3/branch1a"
  top: "stage3_3/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_3/branch1a"
  top: "stage3_3/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_3/branch1a"
  top: "stage3_3/branch1a"
}
layer {
  name: "stage3_3/branch1b"
  type: "Convolution"
  bottom: "stage3_3/branch1a"
  top: "stage3_3/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_3/branch1b"
  top: "stage3_3/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_3/branch1b"
  top: "stage3_3/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_3/branch1b"
  top: "stage3_3/branch1b"
}
layer {
  name: "stage3_3/branch2a"
  type: "Convolution"
  bottom: "stage3_2/concat"
  top: "stage3_3/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_3/branch2a"
  top: "stage3_3/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_3/branch2a"
  top: "stage3_3/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_3/branch2a"
  top: "stage3_3/branch2a"
}
layer {
  name: "stage3_3/branch2b"
  type: "Convolution"
  bottom: "stage3_3/branch2a"
  top: "stage3_3/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_3/branch2b"
  top: "stage3_3/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_3/branch2b"
  top: "stage3_3/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_3/branch2b"
  top: "stage3_3/branch2b"
}
layer {
  name: "stage3_3/branch2c"
  type: "Convolution"
  bottom: "stage3_3/branch2b"
  top: "stage3_3/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_3/branch2c"
  top: "stage3_3/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_3/branch2c"
  top: "stage3_3/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_3/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_3/branch2c"
  top: "stage3_3/branch2c"
}
layer {
  name: "stage3_3/concat"
  type: "Concat"
  bottom: "stage3_2/concat"
  bottom: "stage3_3/branch1b"
  bottom: "stage3_3/branch2c"
  top: "stage3_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_4/branch1a"
  type: "Convolution"
  bottom: "stage3_3/concat"
  top: "stage3_4/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_4/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_4/branch1a"
  top: "stage3_4/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_4/branch1a"
  top: "stage3_4/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_4/branch1a"
  top: "stage3_4/branch1a"
}
layer {
  name: "stage3_4/branch1b"
  type: "Convolution"
  bottom: "stage3_4/branch1a"
  top: "stage3_4/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_4/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_4/branch1b"
  top: "stage3_4/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_4/branch1b"
  top: "stage3_4/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_4/branch1b"
  top: "stage3_4/branch1b"
}
layer {
  name: "stage3_4/branch2a"
  type: "Convolution"
  bottom: "stage3_3/concat"
  top: "stage3_4/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_4/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_4/branch2a"
  top: "stage3_4/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_4/branch2a"
  top: "stage3_4/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_4/branch2a"
  top: "stage3_4/branch2a"
}
layer {
  name: "stage3_4/branch2b"
  type: "Convolution"
  bottom: "stage3_4/branch2a"
  top: "stage3_4/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_4/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_4/branch2b"
  top: "stage3_4/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_4/branch2b"
  top: "stage3_4/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_4/branch2b"
  top: "stage3_4/branch2b"
}
layer {
  name: "stage3_4/branch2c"
  type: "Convolution"
  bottom: "stage3_4/branch2b"
  top: "stage3_4/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_4/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_4/branch2c"
  top: "stage3_4/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_4/branch2c"
  top: "stage3_4/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_4/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_4/branch2c"
  top: "stage3_4/branch2c"
}
layer {
  name: "stage3_4/concat"
  type: "Concat"
  bottom: "stage3_3/concat"
  bottom: "stage3_4/branch1b"
  bottom: "stage3_4/branch2c"
  top: "stage3_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_5/branch1a"
  type: "Convolution"
  bottom: "stage3_4/concat"
  top: "stage3_5/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_5/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_5/branch1a"
  top: "stage3_5/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_5/branch1a"
  top: "stage3_5/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_5/branch1a"
  top: "stage3_5/branch1a"
}
layer {
  name: "stage3_5/branch1b"
  type: "Convolution"
  bottom: "stage3_5/branch1a"
  top: "stage3_5/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_5/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_5/branch1b"
  top: "stage3_5/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_5/branch1b"
  top: "stage3_5/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_5/branch1b"
  top: "stage3_5/branch1b"
}
layer {
  name: "stage3_5/branch2a"
  type: "Convolution"
  bottom: "stage3_4/concat"
  top: "stage3_5/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_5/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_5/branch2a"
  top: "stage3_5/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_5/branch2a"
  top: "stage3_5/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_5/branch2a"
  top: "stage3_5/branch2a"
}
layer {
  name: "stage3_5/branch2b"
  type: "Convolution"
  bottom: "stage3_5/branch2a"
  top: "stage3_5/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_5/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_5/branch2b"
  top: "stage3_5/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_5/branch2b"
  top: "stage3_5/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_5/branch2b"
  top: "stage3_5/branch2b"
}
layer {
  name: "stage3_5/branch2c"
  type: "Convolution"
  bottom: "stage3_5/branch2b"
  top: "stage3_5/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_5/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_5/branch2c"
  top: "stage3_5/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_5/branch2c"
  top: "stage3_5/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_5/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_5/branch2c"
  top: "stage3_5/branch2c"
}
layer {
  name: "stage3_5/concat"
  type: "Concat"
  bottom: "stage3_4/concat"
  bottom: "stage3_5/branch1b"
  bottom: "stage3_5/branch2c"
  top: "stage3_5/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_6/branch1a"
  type: "Convolution"
  bottom: "stage3_5/concat"
  top: "stage3_6/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_6/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_6/branch1a"
  top: "stage3_6/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_6/branch1a"
  top: "stage3_6/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_6/branch1a"
  top: "stage3_6/branch1a"
}
layer {
  name: "stage3_6/branch1b"
  type: "Convolution"
  bottom: "stage3_6/branch1a"
  top: "stage3_6/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_6/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_6/branch1b"
  top: "stage3_6/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_6/branch1b"
  top: "stage3_6/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_6/branch1b"
  top: "stage3_6/branch1b"
}
layer {
  name: "stage3_6/branch2a"
  type: "Convolution"
  bottom: "stage3_5/concat"
  top: "stage3_6/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_6/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_6/branch2a"
  top: "stage3_6/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_6/branch2a"
  top: "stage3_6/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_6/branch2a"
  top: "stage3_6/branch2a"
}
layer {
  name: "stage3_6/branch2b"
  type: "Convolution"
  bottom: "stage3_6/branch2a"
  top: "stage3_6/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_6/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_6/branch2b"
  top: "stage3_6/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_6/branch2b"
  top: "stage3_6/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_6/branch2b"
  top: "stage3_6/branch2b"
}
layer {
  name: "stage3_6/branch2c"
  type: "Convolution"
  bottom: "stage3_6/branch2b"
  top: "stage3_6/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_6/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_6/branch2c"
  top: "stage3_6/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_6/branch2c"
  top: "stage3_6/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_6/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_6/branch2c"
  top: "stage3_6/branch2c"
}
layer {
  name: "stage3_6/concat"
  type: "Concat"
  bottom: "stage3_5/concat"
  bottom: "stage3_6/branch1b"
  bottom: "stage3_6/branch2c"
  top: "stage3_6/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_7/branch1a"
  type: "Convolution"
  bottom: "stage3_6/concat"
  top: "stage3_7/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_7/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_7/branch1a"
  top: "stage3_7/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_7/branch1a"
  top: "stage3_7/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_7/branch1a"
  top: "stage3_7/branch1a"
}
layer {
  name: "stage3_7/branch1b"
  type: "Convolution"
  bottom: "stage3_7/branch1a"
  top: "stage3_7/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_7/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_7/branch1b"
  top: "stage3_7/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_7/branch1b"
  top: "stage3_7/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_7/branch1b"
  top: "stage3_7/branch1b"
}
layer {
  name: "stage3_7/branch2a"
  type: "Convolution"
  bottom: "stage3_6/concat"
  top: "stage3_7/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_7/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_7/branch2a"
  top: "stage3_7/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_7/branch2a"
  top: "stage3_7/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_7/branch2a"
  top: "stage3_7/branch2a"
}
layer {
  name: "stage3_7/branch2b"
  type: "Convolution"
  bottom: "stage3_7/branch2a"
  top: "stage3_7/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_7/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_7/branch2b"
  top: "stage3_7/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_7/branch2b"
  top: "stage3_7/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_7/branch2b"
  top: "stage3_7/branch2b"
}
layer {
  name: "stage3_7/branch2c"
  type: "Convolution"
  bottom: "stage3_7/branch2b"
  top: "stage3_7/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_7/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_7/branch2c"
  top: "stage3_7/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_7/branch2c"
  top: "stage3_7/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_7/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_7/branch2c"
  top: "stage3_7/branch2c"
}
layer {
  name: "stage3_7/concat"
  type: "Concat"
  bottom: "stage3_6/concat"
  bottom: "stage3_7/branch1b"
  bottom: "stage3_7/branch2c"
  top: "stage3_7/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_8/branch1a"
  type: "Convolution"
  bottom: "stage3_7/concat"
  top: "stage3_8/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_8/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage3_8/branch1a"
  top: "stage3_8/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage3_8/branch1a"
  top: "stage3_8/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/branch1a/relu"
  type: "ReLU"
  bottom: "stage3_8/branch1a"
  top: "stage3_8/branch1a"
}
layer {
  name: "stage3_8/branch1b"
  type: "Convolution"
  bottom: "stage3_8/branch1a"
  top: "stage3_8/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_8/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage3_8/branch1b"
  top: "stage3_8/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage3_8/branch1b"
  top: "stage3_8/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/branch1b/relu"
  type: "ReLU"
  bottom: "stage3_8/branch1b"
  top: "stage3_8/branch1b"
}
layer {
  name: "stage3_8/branch2a"
  type: "Convolution"
  bottom: "stage3_7/concat"
  top: "stage3_8/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_8/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage3_8/branch2a"
  top: "stage3_8/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage3_8/branch2a"
  top: "stage3_8/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/branch2a/relu"
  type: "ReLU"
  bottom: "stage3_8/branch2a"
  top: "stage3_8/branch2a"
}
layer {
  name: "stage3_8/branch2b"
  type: "Convolution"
  bottom: "stage3_8/branch2a"
  top: "stage3_8/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_8/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage3_8/branch2b"
  top: "stage3_8/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage3_8/branch2b"
  top: "stage3_8/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/branch2b/relu"
  type: "ReLU"
  bottom: "stage3_8/branch2b"
  top: "stage3_8/branch2b"
}
layer {
  name: "stage3_8/branch2c"
  type: "Convolution"
  bottom: "stage3_8/branch2b"
  top: "stage3_8/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_8/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage3_8/branch2c"
  top: "stage3_8/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage3_8/branch2c"
  top: "stage3_8/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_8/branch2c/relu"
  type: "ReLU"
  bottom: "stage3_8/branch2c"
  top: "stage3_8/branch2c"
}
layer {
  name: "stage3_8/concat"
  type: "Concat"
  bottom: "stage3_7/concat"
  bottom: "stage3_8/branch1b"
  bottom: "stage3_8/branch2c"
  top: "stage3_8/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage3_tb"
  type: "Convolution"
  bottom: "stage3_8/concat"
  top: "stage3_tb"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage3_tb/bn"
  type: "BatchNorm"
  bottom: "stage3_tb"
  top: "stage3_tb"
  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_tb/scale"
  type: "Scale"
  bottom: "stage3_tb"
  top: "stage3_tb"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage3_tb/relu"
  type: "ReLU"
  bottom: "stage3_tb"
  top: "stage3_tb"
}
layer {
  name: "stage3_tb/pool"
  type: "Pooling"
  bottom: "stage3_tb"
  top: "stage3_tb/pool"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage4_1/branch1a"
  type: "Convolution"
  bottom: "stage3_tb/pool"
  top: "stage4_1/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage4_1/branch1a"
  top: "stage4_1/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage4_1/branch1a"
  top: "stage4_1/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/branch1a/relu"
  type: "ReLU"
  bottom: "stage4_1/branch1a"
  top: "stage4_1/branch1a"
}
layer {
  name: "stage4_1/branch1b"
  type: "Convolution"
  bottom: "stage4_1/branch1a"
  top: "stage4_1/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage4_1/branch1b"
  top: "stage4_1/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage4_1/branch1b"
  top: "stage4_1/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/branch1b/relu"
  type: "ReLU"
  bottom: "stage4_1/branch1b"
  top: "stage4_1/branch1b"
}
layer {
  name: "stage4_1/branch2a"
  type: "Convolution"
  bottom: "stage3_tb/pool"
  top: "stage4_1/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage4_1/branch2a"
  top: "stage4_1/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage4_1/branch2a"
  top: "stage4_1/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/branch2a/relu"
  type: "ReLU"
  bottom: "stage4_1/branch2a"
  top: "stage4_1/branch2a"
}
layer {
  name: "stage4_1/branch2b"
  type: "Convolution"
  bottom: "stage4_1/branch2a"
  top: "stage4_1/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage4_1/branch2b"
  top: "stage4_1/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage4_1/branch2b"
  top: "stage4_1/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/branch2b/relu"
  type: "ReLU"
  bottom: "stage4_1/branch2b"
  top: "stage4_1/branch2b"
}
layer {
  name: "stage4_1/branch2c"
  type: "Convolution"
  bottom: "stage4_1/branch2b"
  top: "stage4_1/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage4_1/branch2c"
  top: "stage4_1/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage4_1/branch2c"
  top: "stage4_1/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_1/branch2c/relu"
  type: "ReLU"
  bottom: "stage4_1/branch2c"
  top: "stage4_1/branch2c"
}
layer {
  name: "stage4_1/concat"
  type: "Concat"
  bottom: "stage3_tb/pool"
  bottom: "stage4_1/branch1b"
  bottom: "stage4_1/branch2c"
  top: "stage4_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_2/branch1a"
  type: "Convolution"
  bottom: "stage4_1/concat"
  top: "stage4_2/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage4_2/branch1a"
  top: "stage4_2/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage4_2/branch1a"
  top: "stage4_2/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/branch1a/relu"
  type: "ReLU"
  bottom: "stage4_2/branch1a"
  top: "stage4_2/branch1a"
}
layer {
  name: "stage4_2/branch1b"
  type: "Convolution"
  bottom: "stage4_2/branch1a"
  top: "stage4_2/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage4_2/branch1b"
  top: "stage4_2/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage4_2/branch1b"
  top: "stage4_2/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/branch1b/relu"
  type: "ReLU"
  bottom: "stage4_2/branch1b"
  top: "stage4_2/branch1b"
}
layer {
  name: "stage4_2/branch2a"
  type: "Convolution"
  bottom: "stage4_1/concat"
  top: "stage4_2/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage4_2/branch2a"
  top: "stage4_2/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage4_2/branch2a"
  top: "stage4_2/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/branch2a/relu"
  type: "ReLU"
  bottom: "stage4_2/branch2a"
  top: "stage4_2/branch2a"
}
layer {
  name: "stage4_2/branch2b"
  type: "Convolution"
  bottom: "stage4_2/branch2a"
  top: "stage4_2/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage4_2/branch2b"
  top: "stage4_2/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage4_2/branch2b"
  top: "stage4_2/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/branch2b/relu"
  type: "ReLU"
  bottom: "stage4_2/branch2b"
  top: "stage4_2/branch2b"
}
layer {
  name: "stage4_2/branch2c"
  type: "Convolution"
  bottom: "stage4_2/branch2b"
  top: "stage4_2/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage4_2/branch2c"
  top: "stage4_2/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage4_2/branch2c"
  top: "stage4_2/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_2/branch2c/relu"
  type: "ReLU"
  bottom: "stage4_2/branch2c"
  top: "stage4_2/branch2c"
}
layer {
  name: "stage4_2/concat"
  type: "Concat"
  bottom: "stage4_1/concat"
  bottom: "stage4_2/branch1b"
  bottom: "stage4_2/branch2c"
  top: "stage4_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_3/branch1a"
  type: "Convolution"
  bottom: "stage4_2/concat"
  top: "stage4_3/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage4_3/branch1a"
  top: "stage4_3/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage4_3/branch1a"
  top: "stage4_3/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/branch1a/relu"
  type: "ReLU"
  bottom: "stage4_3/branch1a"
  top: "stage4_3/branch1a"
}
layer {
  name: "stage4_3/branch1b"
  type: "Convolution"
  bottom: "stage4_3/branch1a"
  top: "stage4_3/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage4_3/branch1b"
  top: "stage4_3/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage4_3/branch1b"
  top: "stage4_3/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/branch1b/relu"
  type: "ReLU"
  bottom: "stage4_3/branch1b"
  top: "stage4_3/branch1b"
}
layer {
  name: "stage4_3/branch2a"
  type: "Convolution"
  bottom: "stage4_2/concat"
  top: "stage4_3/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage4_3/branch2a"
  top: "stage4_3/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage4_3/branch2a"
  top: "stage4_3/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/branch2a/relu"
  type: "ReLU"
  bottom: "stage4_3/branch2a"
  top: "stage4_3/branch2a"
}
layer {
  name: "stage4_3/branch2b"
  type: "Convolution"
  bottom: "stage4_3/branch2a"
  top: "stage4_3/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage4_3/branch2b"
  top: "stage4_3/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage4_3/branch2b"
  top: "stage4_3/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/branch2b/relu"
  type: "ReLU"
  bottom: "stage4_3/branch2b"
  top: "stage4_3/branch2b"
}
layer {
  name: "stage4_3/branch2c"
  type: "Convolution"
  bottom: "stage4_3/branch2b"
  top: "stage4_3/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage4_3/branch2c"
  top: "stage4_3/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage4_3/branch2c"
  top: "stage4_3/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_3/branch2c/relu"
  type: "ReLU"
  bottom: "stage4_3/branch2c"
  top: "stage4_3/branch2c"
}
layer {
  name: "stage4_3/concat"
  type: "Concat"
  bottom: "stage4_2/concat"
  bottom: "stage4_3/branch1b"
  bottom: "stage4_3/branch2c"
  top: "stage4_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_4/branch1a"
  type: "Convolution"
  bottom: "stage4_3/concat"
  top: "stage4_4/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_4/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage4_4/branch1a"
  top: "stage4_4/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage4_4/branch1a"
  top: "stage4_4/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/branch1a/relu"
  type: "ReLU"
  bottom: "stage4_4/branch1a"
  top: "stage4_4/branch1a"
}
layer {
  name: "stage4_4/branch1b"
  type: "Convolution"
  bottom: "stage4_4/branch1a"
  top: "stage4_4/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_4/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage4_4/branch1b"
  top: "stage4_4/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage4_4/branch1b"
  top: "stage4_4/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/branch1b/relu"
  type: "ReLU"
  bottom: "stage4_4/branch1b"
  top: "stage4_4/branch1b"
}
layer {
  name: "stage4_4/branch2a"
  type: "Convolution"
  bottom: "stage4_3/concat"
  top: "stage4_4/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_4/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage4_4/branch2a"
  top: "stage4_4/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage4_4/branch2a"
  top: "stage4_4/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/branch2a/relu"
  type: "ReLU"
  bottom: "stage4_4/branch2a"
  top: "stage4_4/branch2a"
}
layer {
  name: "stage4_4/branch2b"
  type: "Convolution"
  bottom: "stage4_4/branch2a"
  top: "stage4_4/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_4/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage4_4/branch2b"
  top: "stage4_4/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage4_4/branch2b"
  top: "stage4_4/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/branch2b/relu"
  type: "ReLU"
  bottom: "stage4_4/branch2b"
  top: "stage4_4/branch2b"
}
layer {
  name: "stage4_4/branch2c"
  type: "Convolution"
  bottom: "stage4_4/branch2b"
  top: "stage4_4/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_4/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage4_4/branch2c"
  top: "stage4_4/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage4_4/branch2c"
  top: "stage4_4/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_4/branch2c/relu"
  type: "ReLU"
  bottom: "stage4_4/branch2c"
  top: "stage4_4/branch2c"
}
layer {
  name: "stage4_4/concat"
  type: "Concat"
  bottom: "stage4_3/concat"
  bottom: "stage4_4/branch1b"
  bottom: "stage4_4/branch2c"
  top: "stage4_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_5/branch1a"
  type: "Convolution"
  bottom: "stage4_4/concat"
  top: "stage4_5/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_5/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage4_5/branch1a"
  top: "stage4_5/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage4_5/branch1a"
  top: "stage4_5/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/branch1a/relu"
  type: "ReLU"
  bottom: "stage4_5/branch1a"
  top: "stage4_5/branch1a"
}
layer {
  name: "stage4_5/branch1b"
  type: "Convolution"
  bottom: "stage4_5/branch1a"
  top: "stage4_5/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_5/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage4_5/branch1b"
  top: "stage4_5/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage4_5/branch1b"
  top: "stage4_5/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/branch1b/relu"
  type: "ReLU"
  bottom: "stage4_5/branch1b"
  top: "stage4_5/branch1b"
}
layer {
  name: "stage4_5/branch2a"
  type: "Convolution"
  bottom: "stage4_4/concat"
  top: "stage4_5/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_5/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage4_5/branch2a"
  top: "stage4_5/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage4_5/branch2a"
  top: "stage4_5/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/branch2a/relu"
  type: "ReLU"
  bottom: "stage4_5/branch2a"
  top: "stage4_5/branch2a"
}
layer {
  name: "stage4_5/branch2b"
  type: "Convolution"
  bottom: "stage4_5/branch2a"
  top: "stage4_5/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_5/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage4_5/branch2b"
  top: "stage4_5/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage4_5/branch2b"
  top: "stage4_5/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/branch2b/relu"
  type: "ReLU"
  bottom: "stage4_5/branch2b"
  top: "stage4_5/branch2b"
}
layer {
  name: "stage4_5/branch2c"
  type: "Convolution"
  bottom: "stage4_5/branch2b"
  top: "stage4_5/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_5/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage4_5/branch2c"
  top: "stage4_5/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage4_5/branch2c"
  top: "stage4_5/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_5/branch2c/relu"
  type: "ReLU"
  bottom: "stage4_5/branch2c"
  top: "stage4_5/branch2c"
}
layer {
  name: "stage4_5/concat"
  type: "Concat"
  bottom: "stage4_4/concat"
  bottom: "stage4_5/branch1b"
  bottom: "stage4_5/branch2c"
  top: "stage4_5/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_6/branch1a"
  type: "Convolution"
  bottom: "stage4_5/concat"
  top: "stage4_6/branch1a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_6/branch1a/bn"
  type: "BatchNorm"
  bottom: "stage4_6/branch1a"
  top: "stage4_6/branch1a"
  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/branch1a/scale"
  type: "Scale"
  bottom: "stage4_6/branch1a"
  top: "stage4_6/branch1a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/branch1a/relu"
  type: "ReLU"
  bottom: "stage4_6/branch1a"
  top: "stage4_6/branch1a"
}
layer {
  name: "stage4_6/branch1b"
  type: "Convolution"
  bottom: "stage4_6/branch1a"
  top: "stage4_6/branch1b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_6/branch1b/bn"
  type: "BatchNorm"
  bottom: "stage4_6/branch1b"
  top: "stage4_6/branch1b"
  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/branch1b/scale"
  type: "Scale"
  bottom: "stage4_6/branch1b"
  top: "stage4_6/branch1b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/branch1b/relu"
  type: "ReLU"
  bottom: "stage4_6/branch1b"
  top: "stage4_6/branch1b"
}
layer {
  name: "stage4_6/branch2a"
  type: "Convolution"
  bottom: "stage4_5/concat"
  top: "stage4_6/branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_6/branch2a/bn"
  type: "BatchNorm"
  bottom: "stage4_6/branch2a"
  top: "stage4_6/branch2a"
  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/branch2a/scale"
  type: "Scale"
  bottom: "stage4_6/branch2a"
  top: "stage4_6/branch2a"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/branch2a/relu"
  type: "ReLU"
  bottom: "stage4_6/branch2a"
  top: "stage4_6/branch2a"
}
layer {
  name: "stage4_6/branch2b"
  type: "Convolution"
  bottom: "stage4_6/branch2a"
  top: "stage4_6/branch2b"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_6/branch2b/bn"
  type: "BatchNorm"
  bottom: "stage4_6/branch2b"
  top: "stage4_6/branch2b"
  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/branch2b/scale"
  type: "Scale"
  bottom: "stage4_6/branch2b"
  top: "stage4_6/branch2b"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/branch2b/relu"
  type: "ReLU"
  bottom: "stage4_6/branch2b"
  top: "stage4_6/branch2b"
}
layer {
  name: "stage4_6/branch2c"
  type: "Convolution"
  bottom: "stage4_6/branch2b"
  top: "stage4_6/branch2c"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_6/branch2c/bn"
  type: "BatchNorm"
  bottom: "stage4_6/branch2c"
  top: "stage4_6/branch2c"
  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/branch2c/scale"
  type: "Scale"
  bottom: "stage4_6/branch2c"
  top: "stage4_6/branch2c"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_6/branch2c/relu"
  type: "ReLU"
  bottom: "stage4_6/branch2c"
  top: "stage4_6/branch2c"
}
layer {
  name: "stage4_6/concat"
  type: "Concat"
  bottom: "stage4_5/concat"
  bottom: "stage4_6/branch1b"
  bottom: "stage4_6/branch2c"
  top: "stage4_6/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage4_tb"
  type: "Convolution"
  bottom: "stage4_6/concat"
  top: "stage4_tb"
  convolution_param {
    num_output: 704
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "stage4_tb/bn"
  type: "BatchNorm"
  bottom: "stage4_tb"
  top: "stage4_tb"
  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_tb/scale"
  type: "Scale"
  bottom: "stage4_tb"
  top: "stage4_tb"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/relu"
  type: "ReLU"
  bottom: "stage4_tb"
  top: "stage4_tb"
}
layer {
  name: "stage4_tb/relu/ext1/fe1_1"
  type: "Convolution"
  bottom: "stage4_tb"
  top: "stage4_tb/relu/ext1/fe1_1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/relu/ext1/fe1_1/relu"
  type: "ReLU"
  bottom: "stage4_tb/relu/ext1/fe1_1"
  top: "stage4_tb/relu/ext1/fe1_1"
}
layer {
  name: "ext1/fe1_2"
  type: "Convolution"
  bottom: "stage4_tb/relu/ext1/fe1_1"
  top: "ext1/fe1_2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext1/fe1_2/relu"
  type: "ReLU"
  bottom: "ext1/fe1_2"
  top: "ext1/fe1_2"
}
layer {
  name: "ext1/fe2_1"
  type: "Convolution"
  bottom: "ext1/fe1_2"
  top: "ext1/fe2_1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext1/fe2_1/relu"
  type: "ReLU"
  bottom: "ext1/fe2_1"
  top: "ext1/fe2_1"
}
layer {
  name: "ext1/fe2_2"
  type: "Convolution"
  bottom: "ext1/fe2_1"
  top: "ext1/fe2_2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext1/fe2_2/relu"
  type: "ReLU"
  bottom: "ext1/fe2_2"
  top: "ext1/fe2_2"
}
layer {
  name: "ext1/fe3_1"
  type: "Convolution"
  bottom: "ext1/fe2_2"
  top: "ext1/fe3_1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 128
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext1/fe3_1/relu"
  type: "ReLU"
  bottom: "ext1/fe3_1"
  top: "ext1/fe3_1"
}
layer {
  name: "ext1/fe3_2"
  type: "Convolution"
  bottom: "ext1/fe3_1"
  top: "ext1/fe3_2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext1/fe3_2/relu"
  type: "ReLU"
  bottom: "ext1/fe3_2"
  top: "ext1/fe3_2"
}
layer {
  name: "stage4_tb/ext/pm2"
  type: "Convolution"
  bottom: "stage3_tb"
  top: "stage4_tb/ext/pm2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm2"
  top: "stage4_tb/ext/pm2"
  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_tb/ext/pm2/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm2"
  top: "stage4_tb/ext/pm2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/b2a"
  type: "Convolution"
  bottom: "stage3_tb"
  top: "stage4_tb/ext/pm2/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/b2a/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm2/b2a"
  top: "stage4_tb/ext/pm2/b2a"
  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_tb/ext/pm2/b2a/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm2/b2a"
  top: "stage4_tb/ext/pm2/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/b2a/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm2/b2a"
  top: "stage4_tb/ext/pm2/b2a"
}
layer {
  name: "stage4_tb/ext/pm2/b2b"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm2/b2a"
  top: "stage4_tb/ext/pm2/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/b2b/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm2/b2b"
  top: "stage4_tb/ext/pm2/b2b"
  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_tb/ext/pm2/b2b/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm2/b2b"
  top: "stage4_tb/ext/pm2/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/b2b/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm2/b2b"
  top: "stage4_tb/ext/pm2/b2b"
}
layer {
  name: "stage4_tb/ext/pm2/b2c"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm2/b2b"
  top: "stage4_tb/ext/pm2/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/b2c/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm2/b2c"
  top: "stage4_tb/ext/pm2/b2c"
  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_tb/ext/pm2/b2c/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm2/b2c"
  top: "stage4_tb/ext/pm2/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm2/res"
  type: "Eltwise"
  bottom: "stage4_tb/ext/pm2"
  bottom: "stage4_tb/ext/pm2/b2c"
  top: "stage4_tb/ext/pm2/res"
}
layer {
  name: "stage4_tb/ext/pm2/res/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm2/res"
  top: "stage4_tb/ext/pm2/res"
}
layer {
  name: "stage4_tb/ext/pm3"
  type: "Convolution"
  bottom: "stage4_tb"
  top: "stage4_tb/ext/pm3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm3"
  top: "stage4_tb/ext/pm3"
  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_tb/ext/pm3/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm3"
  top: "stage4_tb/ext/pm3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/b2a"
  type: "Convolution"
  bottom: "stage4_tb"
  top: "stage4_tb/ext/pm3/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/b2a/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm3/b2a"
  top: "stage4_tb/ext/pm3/b2a"
  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_tb/ext/pm3/b2a/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm3/b2a"
  top: "stage4_tb/ext/pm3/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/b2a/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm3/b2a"
  top: "stage4_tb/ext/pm3/b2a"
}
layer {
  name: "stage4_tb/ext/pm3/b2b"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm3/b2a"
  top: "stage4_tb/ext/pm3/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/b2b/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm3/b2b"
  top: "stage4_tb/ext/pm3/b2b"
  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_tb/ext/pm3/b2b/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm3/b2b"
  top: "stage4_tb/ext/pm3/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/b2b/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm3/b2b"
  top: "stage4_tb/ext/pm3/b2b"
}
layer {
  name: "stage4_tb/ext/pm3/b2c"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm3/b2b"
  top: "stage4_tb/ext/pm3/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/b2c/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm3/b2c"
  top: "stage4_tb/ext/pm3/b2c"
  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_tb/ext/pm3/b2c/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm3/b2c"
  top: "stage4_tb/ext/pm3/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm3/res"
  type: "Eltwise"
  bottom: "stage4_tb/ext/pm3"
  bottom: "stage4_tb/ext/pm3/b2c"
  top: "stage4_tb/ext/pm3/res"
}
layer {
  name: "stage4_tb/ext/pm3/res/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm3/res"
  top: "stage4_tb/ext/pm3/res"
}
layer {
  name: "stage4_tb/ext/pm4"
  type: "Convolution"
  bottom: "ext1/fe1_2"
  top: "stage4_tb/ext/pm4"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm4"
  top: "stage4_tb/ext/pm4"
  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_tb/ext/pm4/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm4"
  top: "stage4_tb/ext/pm4"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/b2a"
  type: "Convolution"
  bottom: "ext1/fe1_2"
  top: "stage4_tb/ext/pm4/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/b2a/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm4/b2a"
  top: "stage4_tb/ext/pm4/b2a"
  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_tb/ext/pm4/b2a/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm4/b2a"
  top: "stage4_tb/ext/pm4/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/b2a/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm4/b2a"
  top: "stage4_tb/ext/pm4/b2a"
}
layer {
  name: "stage4_tb/ext/pm4/b2b"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm4/b2a"
  top: "stage4_tb/ext/pm4/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/b2b/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm4/b2b"
  top: "stage4_tb/ext/pm4/b2b"
  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_tb/ext/pm4/b2b/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm4/b2b"
  top: "stage4_tb/ext/pm4/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/b2b/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm4/b2b"
  top: "stage4_tb/ext/pm4/b2b"
}
layer {
  name: "stage4_tb/ext/pm4/b2c"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm4/b2b"
  top: "stage4_tb/ext/pm4/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/b2c/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm4/b2c"
  top: "stage4_tb/ext/pm4/b2c"
  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_tb/ext/pm4/b2c/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm4/b2c"
  top: "stage4_tb/ext/pm4/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm4/res"
  type: "Eltwise"
  bottom: "stage4_tb/ext/pm4"
  bottom: "stage4_tb/ext/pm4/b2c"
  top: "stage4_tb/ext/pm4/res"
}
layer {
  name: "stage4_tb/ext/pm4/res/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm4/res"
  top: "stage4_tb/ext/pm4/res"
}
layer {
  name: "stage4_tb/ext/pm5"
  type: "Convolution"
  bottom: "ext1/fe2_2"
  top: "stage4_tb/ext/pm5"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm5"
  top: "stage4_tb/ext/pm5"
  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_tb/ext/pm5/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm5"
  top: "stage4_tb/ext/pm5"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/b2a"
  type: "Convolution"
  bottom: "ext1/fe2_2"
  top: "stage4_tb/ext/pm5/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/b2a/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm5/b2a"
  top: "stage4_tb/ext/pm5/b2a"
  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_tb/ext/pm5/b2a/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm5/b2a"
  top: "stage4_tb/ext/pm5/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/b2a/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm5/b2a"
  top: "stage4_tb/ext/pm5/b2a"
}
layer {
  name: "stage4_tb/ext/pm5/b2b"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm5/b2a"
  top: "stage4_tb/ext/pm5/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/b2b/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm5/b2b"
  top: "stage4_tb/ext/pm5/b2b"
  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_tb/ext/pm5/b2b/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm5/b2b"
  top: "stage4_tb/ext/pm5/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/b2b/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm5/b2b"
  top: "stage4_tb/ext/pm5/b2b"
}
layer {
  name: "stage4_tb/ext/pm5/b2c"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm5/b2b"
  top: "stage4_tb/ext/pm5/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/b2c/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm5/b2c"
  top: "stage4_tb/ext/pm5/b2c"
  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_tb/ext/pm5/b2c/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm5/b2c"
  top: "stage4_tb/ext/pm5/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm5/res"
  type: "Eltwise"
  bottom: "stage4_tb/ext/pm5"
  bottom: "stage4_tb/ext/pm5/b2c"
  top: "stage4_tb/ext/pm5/res"
}
layer {
  name: "stage4_tb/ext/pm5/res/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm5/res"
  top: "stage4_tb/ext/pm5/res"
}
layer {
  name: "stage4_tb/ext/pm6"
  type: "Convolution"
  bottom: "ext1/fe3_2"
  top: "stage4_tb/ext/pm6"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm6"
  top: "stage4_tb/ext/pm6"
  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_tb/ext/pm6/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm6"
  top: "stage4_tb/ext/pm6"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/b2a"
  type: "Convolution"
  bottom: "ext1/fe3_2"
  top: "stage4_tb/ext/pm6/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/b2a/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm6/b2a"
  top: "stage4_tb/ext/pm6/b2a"
  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_tb/ext/pm6/b2a/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm6/b2a"
  top: "stage4_tb/ext/pm6/b2a"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/b2a/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm6/b2a"
  top: "stage4_tb/ext/pm6/b2a"
}
layer {
  name: "stage4_tb/ext/pm6/b2b"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm6/b2a"
  top: "stage4_tb/ext/pm6/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/b2b/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm6/b2b"
  top: "stage4_tb/ext/pm6/b2b"
  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_tb/ext/pm6/b2b/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm6/b2b"
  top: "stage4_tb/ext/pm6/b2b"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/b2b/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm6/b2b"
  top: "stage4_tb/ext/pm6/b2b"
}
layer {
  name: "stage4_tb/ext/pm6/b2c"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm6/b2b"
  top: "stage4_tb/ext/pm6/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/b2c/bn"
  type: "BatchNorm"
  bottom: "stage4_tb/ext/pm6/b2c"
  top: "stage4_tb/ext/pm6/b2c"
  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_tb/ext/pm6/b2c/scale"
  type: "Scale"
  bottom: "stage4_tb/ext/pm6/b2c"
  top: "stage4_tb/ext/pm6/b2c"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage4_tb/ext/pm6/res"
  type: "Eltwise"
  bottom: "stage4_tb/ext/pm6"
  bottom: "stage4_tb/ext/pm6/b2c"
  top: "stage4_tb/ext/pm6/res"
}
layer {
  name: "stage4_tb/ext/pm6/res/relu"
  type: "ReLU"
  bottom: "stage4_tb/ext/pm6/res"
  top: "stage4_tb/ext/pm6/res"
}
layer {
  name: "ext/pm1_mbox_loc"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm2/res"
  top: "ext/pm1_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm1_mbox_loc_perm"
  type: "Permute"
  bottom: "ext/pm1_mbox_loc"
  top: "ext/pm1_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm1_mbox_loc_flat"
  type: "Flatten"
  bottom: "ext/pm1_mbox_loc_perm"
  top: "ext/pm1_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm1_mbox_conf"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm2/res"
  top: "ext/pm1_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 66
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm1_mbox_conf_perm"
  type: "Permute"
  bottom: "ext/pm1_mbox_conf"
  top: "ext/pm1_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm1_mbox_conf_flat"
  type: "Flatten"
  bottom: "ext/pm1_mbox_conf_perm"
  top: "ext/pm1_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm1_mbox_priorbox"
  type: "PriorBox"
  bottom: "stage4_tb/ext/pm2/res"
  bottom: "data"
  top: "ext/pm1_mbox_priorbox"
  prior_box_param {
    min_size: 30.3999996185
    max_size: 60.7999992371
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.10000000149
    variance: 0.10000000149
    variance: 0.20000000298
    variance: 0.20000000298
    offset: 0.5
  }
}
layer {
  name: "ext/pm2_mbox_loc"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm2/res"
  top: "ext/pm2_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm2_mbox_loc_perm"
  type: "Permute"
  bottom: "ext/pm2_mbox_loc"
  top: "ext/pm2_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm2_mbox_loc_flat"
  type: "Flatten"
  bottom: "ext/pm2_mbox_loc_perm"
  top: "ext/pm2_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm2_mbox_conf"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm2/res"
  top: "ext/pm2_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 66
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm2_mbox_conf_perm"
  type: "Permute"
  bottom: "ext/pm2_mbox_conf"
  top: "ext/pm2_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm2_mbox_conf_flat"
  type: "Flatten"
  bottom: "ext/pm2_mbox_conf_perm"
  top: "ext/pm2_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm2_mbox_priorbox"
  type: "PriorBox"
  bottom: "stage4_tb/ext/pm2/res"
  bottom: "data"
  top: "ext/pm2_mbox_priorbox"
  prior_box_param {
    min_size: 60.7999992371
    max_size: 112.480003357
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.10000000149
    variance: 0.10000000149
    variance: 0.20000000298
    variance: 0.20000000298
    offset: 0.5
  }
}
layer {
  name: "ext/pm3_mbox_loc"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm3/res"
  top: "ext/pm3_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm3_mbox_loc_perm"
  type: "Permute"
  bottom: "ext/pm3_mbox_loc"
  top: "ext/pm3_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm3_mbox_loc_flat"
  type: "Flatten"
  bottom: "ext/pm3_mbox_loc_perm"
  top: "ext/pm3_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm3_mbox_conf"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm3/res"
  top: "ext/pm3_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 66
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm3_mbox_conf_perm"
  type: "Permute"
  bottom: "ext/pm3_mbox_conf"
  top: "ext/pm3_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm3_mbox_conf_flat"
  type: "Flatten"
  bottom: "ext/pm3_mbox_conf_perm"
  top: "ext/pm3_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm3_mbox_priorbox"
  type: "PriorBox"
  bottom: "stage4_tb/ext/pm3/res"
  bottom: "data"
  top: "ext/pm3_mbox_priorbox"
  prior_box_param {
    min_size: 112.480003357
    max_size: 164.160003662
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.10000000149
    variance: 0.10000000149
    variance: 0.20000000298
    variance: 0.20000000298
    offset: 0.5
  }
}
layer {
  name: "ext/pm4_mbox_loc"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm4/res"
  top: "ext/pm4_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm4_mbox_loc_perm"
  type: "Permute"
  bottom: "ext/pm4_mbox_loc"
  top: "ext/pm4_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm4_mbox_loc_flat"
  type: "Flatten"
  bottom: "ext/pm4_mbox_loc_perm"
  top: "ext/pm4_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm4_mbox_conf"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm4/res"
  top: "ext/pm4_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 66
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm4_mbox_conf_perm"
  type: "Permute"
  bottom: "ext/pm4_mbox_conf"
  top: "ext/pm4_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm4_mbox_conf_flat"
  type: "Flatten"
  bottom: "ext/pm4_mbox_conf_perm"
  top: "ext/pm4_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm4_mbox_priorbox"
  type: "PriorBox"
  bottom: "stage4_tb/ext/pm4/res"
  bottom: "data"
  top: "ext/pm4_mbox_priorbox"
  prior_box_param {
    min_size: 164.160003662
    max_size: 215.839996338
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.10000000149
    variance: 0.10000000149
    variance: 0.20000000298
    variance: 0.20000000298
    offset: 0.5
  }
}
layer {
  name: "ext/pm5_mbox_loc"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm5/res"
  top: "ext/pm5_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm5_mbox_loc_perm"
  type: "Permute"
  bottom: "ext/pm5_mbox_loc"
  top: "ext/pm5_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm5_mbox_loc_flat"
  type: "Flatten"
  bottom: "ext/pm5_mbox_loc_perm"
  top: "ext/pm5_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm5_mbox_conf"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm5/res"
  top: "ext/pm5_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 66
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm5_mbox_conf_perm"
  type: "Permute"
  bottom: "ext/pm5_mbox_conf"
  top: "ext/pm5_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm5_mbox_conf_flat"
  type: "Flatten"
  bottom: "ext/pm5_mbox_conf_perm"
  top: "ext/pm5_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm5_mbox_priorbox"
  type: "PriorBox"
  bottom: "stage4_tb/ext/pm5/res"
  bottom: "data"
  top: "ext/pm5_mbox_priorbox"
  prior_box_param {
    min_size: 215.839996338
    max_size: 267.519989014
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.10000000149
    variance: 0.10000000149
    variance: 0.20000000298
    variance: 0.20000000298
    offset: 0.5
  }
}
layer {
  name: "ext/pm6_mbox_loc"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm6/res"
  top: "ext/pm6_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm6_mbox_loc_perm"
  type: "Permute"
  bottom: "ext/pm6_mbox_loc"
  top: "ext/pm6_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm6_mbox_loc_flat"
  type: "Flatten"
  bottom: "ext/pm6_mbox_loc_perm"
  top: "ext/pm6_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm6_mbox_conf"
  type: "Convolution"
  bottom: "stage4_tb/ext/pm6/res"
  top: "ext/pm6_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 66
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "ext/pm6_mbox_conf_perm"
  type: "Permute"
  bottom: "ext/pm6_mbox_conf"
  top: "ext/pm6_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ext/pm6_mbox_conf_flat"
  type: "Flatten"
  bottom: "ext/pm6_mbox_conf_perm"
  top: "ext/pm6_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "ext/pm6_mbox_priorbox"
  type: "PriorBox"
  bottom: "stage4_tb/ext/pm6/res"
  bottom: "data"
  top: "ext/pm6_mbox_priorbox"
  prior_box_param {
    min_size: 267.519989014
    max_size: 319.200012207
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.10000000149
    variance: 0.10000000149
    variance: 0.20000000298
    variance: 0.20000000298
    offset: 0.5
  }
}
layer {
  name: "mbox_loc"
  type: "Concat"
  bottom: "ext/pm1_mbox_loc_flat"
  bottom: "ext/pm2_mbox_loc_flat"
  bottom: "ext/pm3_mbox_loc_flat"
  bottom: "ext/pm4_mbox_loc_flat"
  bottom: "ext/pm5_mbox_loc_flat"
  bottom: "ext/pm6_mbox_loc_flat"
  top: "mbox_loc"
  concat_param {
    axis: 1
  }
}
layer {
  name: "mbox_conf"
  type: "Concat"
  bottom: "ext/pm1_mbox_conf_flat"
  bottom: "ext/pm2_mbox_conf_flat"
  bottom: "ext/pm3_mbox_conf_flat"
  bottom: "ext/pm4_mbox_conf_flat"
  bottom: "ext/pm5_mbox_conf_flat"
  bottom: "ext/pm6_mbox_conf_flat"
  top: "mbox_conf"
  concat_param {
    axis: 1
  }
}
layer {
  name: "mbox_priorbox"
  type: "Concat"
  bottom: "ext/pm1_mbox_priorbox"
  bottom: "ext/pm2_mbox_priorbox"
  bottom: "ext/pm3_mbox_priorbox"
  bottom: "ext/pm4_mbox_priorbox"
  bottom: "ext/pm5_mbox_priorbox"
  bottom: "ext/pm6_mbox_priorbox"
  top: "mbox_priorbox"
  concat_param {
    axis: 2
  }
}
layer {
  name: "mbox_conf_reshape"
  type: "Reshape"
  bottom: "mbox_conf"
  top: "mbox_conf_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: -1
      dim: 11
    }
  }
}
layer {
  name: "mbox_conf_softmax"
  type: "Softmax"
  bottom: "mbox_conf_reshape"
  top: "mbox_conf_softmax"
  softmax_param {
    axis: 2
  }
}
layer {
  name: "mbox_conf_flatten"
  type: "Flatten"
  bottom: "mbox_conf_softmax"
  top: "mbox_conf_flatten"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "detection_out"
  type: "DetectionOutput"
  bottom: "mbox_loc"
  bottom: "mbox_conf_flatten"
  bottom: "mbox_priorbox"
  top: "detection_out"
  include {
    phase: TEST
  }
  detection_output_param {
    num_classes: 11
    share_location: true
    background_label_id: 0
    nms_param {
      nms_threshold: 0.449999988079
      top_k: 400
    }
    code_type: CENTER_SIZE
    keep_top_k: 200
    confidence_threshold: 0.01
  }
}
layer {
  name: "upsample"
  type: "Deconvolution"
  bottom: "stage4_tb/ext/pm2/res"
  top: "upsample"
  param { lr_mult: 0  decay_mult: 0 }
  convolution_param {
    num_output: 128
    group: 128
    kernel_size: 8  stride: 4  pad: 2
    weight_filler: { type: "bilinear" }
    bias_term: false
  }
}
layer {
  name: "upsample/sum"
  type: "Concat"
  bottom: "upsample"
  bottom: "stage1_tb"
  top: "upsample/sum"
}
layer {
  name: "seg_conv1"
  type: "Convolution"
  bottom: "upsample/sum"
  top: "seg_conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    dilation : 2
    num_output: 16 
    bias_term: false
    kernel_size: 3
    pad : 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "seg_conv1/bn"
  type: "BatchNorm"
  bottom: "seg_conv1"
  top: "seg_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "seg_conv1/scale"
  type: "Scale"
  bottom: "seg_conv1"
  top: "seg_conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "seg_conv1/relu"
  type: "ReLU"
  bottom: "seg_conv1"
  top: "seg_conv1"
}
layer {
  name: "seg_conv2"
  type: "Convolution"
  bottom: "seg_conv1"
  top: "seg_conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    dilation : 2
    num_output: 128 
    bias_term: false
    kernel_size: 1
    pad : 0
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "seg_conv2/bn"
  type: "BatchNorm"
  bottom: "seg_conv2"
  top: "seg_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "seg_conv2/scale"
  type: "Scale"
  bottom: "seg_conv2"
  top: "seg_conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "seg_conv2/relu"
  type: "ReLU"
  bottom: "seg_conv2"
  top: "seg_conv2"
}
layer {
  name: "seg_conv3"
  type: "Convolution"
  bottom: "seg_conv2"
  top: "seg_conv3"
    param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 2 # channel = class 
    kernel_size: 1
    pad: 0
    stride: 1
    weight_filler {
      type: "xavier"
    }
	bias_filler {
      value: 0
    }
  }
}

layer {
  name: "sigmoid"
  bottom: "seg_conv3"
  top: "sigmoid"
  type: "Sigmoid"
}