deploy.prototxt

name: "peleenet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 10 dim: 3 dim: 224 dim: 224 } }
}
layer {
  name: "stem1"
  type: "Convolution"
  bottom: "data"
  top: "stem1"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
    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: "cls/pool"
  type: "Pooling"
  bottom: "stage4_tb"
  top: "cls/pool"
  pooling_param {
    pool: AVE
	kernel_size: 7
	stride: 1
  }
}
layer {
  name: "classifier"
  type: "InnerProduct"
  bottom: "cls/pool"
  top: "classifier"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 1000
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "classifier"
  top: "prob"
}