name: "incp"

input: "data"
input_shape {
  dim: 1
  dim: 3
  dim: 960
  dim: 960
}

layer {
  name: "power-data"
  bottom: "data"
  top: "power-data"
  type: "Power"
  power_param {
    power: 1
    scale: 0.00392156
    shift: -0.4431372
  }
}

layer {
  name: "incp_conv1_1"
  type: "Convolution"
  bottom: "power-data"
  top: "incp_conv1_1"
  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: "incp_conv1_1/bn"
  type: "BatchNorm"
  bottom: "incp_conv1_1"
  top: "incp_conv1_1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp_conv1_1/scale"
  type: "Scale"
  bottom: "incp_conv1_1"
  top: "incp_conv1_1"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp_conv1_1/relu"
  type: "ReLU"
  bottom: "incp_conv1_1"
  top: "incp_conv1_1"
}
layer {
  name: "incp_conv1_2a"
  type: "Convolution"
  bottom: "incp_conv1_1"
  top: "incp_conv1_2a"
  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: "incp_conv1_2a/bn"
  type: "BatchNorm"
  bottom: "incp_conv1_2a"
  top: "incp_conv1_2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp_conv1_2a/scale"
  type: "Scale"
  bottom: "incp_conv1_2a"
  top: "incp_conv1_2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp_conv1_2a/relu"
  type: "ReLU"
  bottom: "incp_conv1_2a"
  top: "incp_conv1_2a"
}
layer {
  name: "incp_conv1_2b"
  type: "Convolution"
  bottom: "incp_conv1_2a"
  top: "incp_conv1_2b"
  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: "incp_conv1_2b/bn"
  type: "BatchNorm"
  bottom: "incp_conv1_2b"
  top: "incp_conv1_2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp_conv1_2b/scale"
  type: "Scale"
  bottom: "incp_conv1_2b"
  top: "incp_conv1_2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp_conv1_2b/relu"
  type: "ReLU"
  bottom: "incp_conv1_2b"
  top: "incp_conv1_2b"
}
layer {
  name: "incp_conv1_/pool"
  type: "Pooling"
  bottom: "incp_conv1_1"
  top: "incp_conv1_/pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "incp_conv1_/concat"
  type: "Concat"
  bottom: "incp_conv1_/pool"
  bottom: "incp_conv1_2b"
  top: "incp_conv1_/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp_conv1_3"
  type: "Convolution"
  bottom: "incp_conv1_/concat"
  top: "incp_conv1_3"
  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: "incp_conv1_3/bn"
  type: "BatchNorm"
  bottom: "incp_conv1_3"
  top: "incp_conv1_3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp_conv1_3/scale"
  type: "Scale"
  bottom: "incp_conv1_3"
  top: "incp_conv1_3"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp_conv1_3/relu"
  type: "ReLU"
  bottom: "incp_conv1_3"
  top: "incp_conv1_3"
}
layer {
  name: "incp1_1/branch1a"
  type: "Convolution"
  bottom: "incp_conv1_3"
  top: "incp1_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: "incp1_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp1_1/branch1a"
  top: "incp1_1/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_1/branch1a/scale"
  type: "Scale"
  bottom: "incp1_1/branch1a"
  top: "incp1_1/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_1/branch1a/relu"
  type: "ReLU"
  bottom: "incp1_1/branch1a"
  top: "incp1_1/branch1a"
}
layer {
  name: "incp1_1/branch1b"
  type: "Convolution"
  bottom: "incp1_1/branch1a"
  top: "incp1_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: "incp1_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp1_1/branch1b"
  top: "incp1_1/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_1/branch1b/scale"
  type: "Scale"
  bottom: "incp1_1/branch1b"
  top: "incp1_1/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_1/branch1b/relu"
  type: "ReLU"
  bottom: "incp1_1/branch1b"
  top: "incp1_1/branch1b"
}
layer {
  name: "incp1_1/branch2a"
  type: "Convolution"
  bottom: "incp_conv1_3"
  top: "incp1_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: "incp1_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp1_1/branch2a"
  top: "incp1_1/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_1/branch2a/scale"
  type: "Scale"
  bottom: "incp1_1/branch2a"
  top: "incp1_1/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_1/branch2a/relu"
  type: "ReLU"
  bottom: "incp1_1/branch2a"
  top: "incp1_1/branch2a"
}
layer {
  name: "incp1_1/branch2b"
  type: "Convolution"
  bottom: "incp1_1/branch2a"
  top: "incp1_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: "incp1_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp1_1/branch2b"
  top: "incp1_1/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_1/branch2b/scale"
  type: "Scale"
  bottom: "incp1_1/branch2b"
  top: "incp1_1/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_1/branch2b/relu"
  type: "ReLU"
  bottom: "incp1_1/branch2b"
  top: "incp1_1/branch2b"
}
layer {
  name: "incp1_1/branch2c"
  type: "Convolution"
  bottom: "incp1_1/branch2b"
  top: "incp1_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: "incp1_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp1_1/branch2c"
  top: "incp1_1/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_1/branch2c/scale"
  type: "Scale"
  bottom: "incp1_1/branch2c"
  top: "incp1_1/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_1/branch2c/relu"
  type: "ReLU"
  bottom: "incp1_1/branch2c"
  top: "incp1_1/branch2c"
}
layer {
  name: "incp1_1/concat"
  type: "Concat"
  bottom: "incp_conv1_3"
  bottom: "incp1_1/branch1b"
  bottom: "incp1_1/branch2c"
  top: "incp1_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp1_2/branch1a"
  type: "Convolution"
  bottom: "incp1_1/concat"
  top: "incp1_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: "incp1_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp1_2/branch1a"
  top: "incp1_2/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_2/branch1a/scale"
  type: "Scale"
  bottom: "incp1_2/branch1a"
  top: "incp1_2/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_2/branch1a/relu"
  type: "ReLU"
  bottom: "incp1_2/branch1a"
  top: "incp1_2/branch1a"
}
layer {
  name: "incp1_2/branch1b"
  type: "Convolution"
  bottom: "incp1_2/branch1a"
  top: "incp1_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: "incp1_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp1_2/branch1b"
  top: "incp1_2/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_2/branch1b/scale"
  type: "Scale"
  bottom: "incp1_2/branch1b"
  top: "incp1_2/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_2/branch1b/relu"
  type: "ReLU"
  bottom: "incp1_2/branch1b"
  top: "incp1_2/branch1b"
}
layer {
  name: "incp1_2/branch2a"
  type: "Convolution"
  bottom: "incp1_1/concat"
  top: "incp1_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: "incp1_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp1_2/branch2a"
  top: "incp1_2/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_2/branch2a/scale"
  type: "Scale"
  bottom: "incp1_2/branch2a"
  top: "incp1_2/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_2/branch2a/relu"
  type: "ReLU"
  bottom: "incp1_2/branch2a"
  top: "incp1_2/branch2a"
}
layer {
  name: "incp1_2/branch2b"
  type: "Convolution"
  bottom: "incp1_2/branch2a"
  top: "incp1_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: "incp1_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp1_2/branch2b"
  top: "incp1_2/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_2/branch2b/scale"
  type: "Scale"
  bottom: "incp1_2/branch2b"
  top: "incp1_2/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_2/branch2b/relu"
  type: "ReLU"
  bottom: "incp1_2/branch2b"
  top: "incp1_2/branch2b"
}
layer {
  name: "incp1_2/branch2c"
  type: "Convolution"
  bottom: "incp1_2/branch2b"
  top: "incp1_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: "incp1_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp1_2/branch2c"
  top: "incp1_2/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_2/branch2c/scale"
  type: "Scale"
  bottom: "incp1_2/branch2c"
  top: "incp1_2/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_2/branch2c/relu"
  type: "ReLU"
  bottom: "incp1_2/branch2c"
  top: "incp1_2/branch2c"
}
layer {
  name: "incp1_2/concat"
  type: "Concat"
  bottom: "incp1_1/concat"
  bottom: "incp1_2/branch1b"
  bottom: "incp1_2/branch2c"
  top: "incp1_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp1_3/branch1a"
  type: "Convolution"
  bottom: "incp1_2/concat"
  top: "incp1_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: "incp1_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp1_3/branch1a"
  top: "incp1_3/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_3/branch1a/scale"
  type: "Scale"
  bottom: "incp1_3/branch1a"
  top: "incp1_3/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_3/branch1a/relu"
  type: "ReLU"
  bottom: "incp1_3/branch1a"
  top: "incp1_3/branch1a"
}
layer {
  name: "incp1_3/branch1b"
  type: "Convolution"
  bottom: "incp1_3/branch1a"
  top: "incp1_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: "incp1_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp1_3/branch1b"
  top: "incp1_3/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_3/branch1b/scale"
  type: "Scale"
  bottom: "incp1_3/branch1b"
  top: "incp1_3/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_3/branch1b/relu"
  type: "ReLU"
  bottom: "incp1_3/branch1b"
  top: "incp1_3/branch1b"
}
layer {
  name: "incp1_3/branch2a"
  type: "Convolution"
  bottom: "incp1_2/concat"
  top: "incp1_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: "incp1_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp1_3/branch2a"
  top: "incp1_3/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_3/branch2a/scale"
  type: "Scale"
  bottom: "incp1_3/branch2a"
  top: "incp1_3/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_3/branch2a/relu"
  type: "ReLU"
  bottom: "incp1_3/branch2a"
  top: "incp1_3/branch2a"
}
layer {
  name: "incp1_3/branch2b"
  type: "Convolution"
  bottom: "incp1_3/branch2a"
  top: "incp1_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: "incp1_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp1_3/branch2b"
  top: "incp1_3/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_3/branch2b/scale"
  type: "Scale"
  bottom: "incp1_3/branch2b"
  top: "incp1_3/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_3/branch2b/relu"
  type: "ReLU"
  bottom: "incp1_3/branch2b"
  top: "incp1_3/branch2b"
}
layer {
  name: "incp1_3/branch2c"
  type: "Convolution"
  bottom: "incp1_3/branch2b"
  top: "incp1_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: "incp1_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp1_3/branch2c"
  top: "incp1_3/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_3/branch2c/scale"
  type: "Scale"
  bottom: "incp1_3/branch2c"
  top: "incp1_3/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_3/branch2c/relu"
  type: "ReLU"
  bottom: "incp1_3/branch2c"
  top: "incp1_3/branch2c"
}
layer {
  name: "incp1_3/concat"
  type: "Concat"
  bottom: "incp1_2/concat"
  bottom: "incp1_3/branch1b"
  bottom: "incp1_3/branch2c"
  top: "incp1_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp1_tb"
  type: "Convolution"
  bottom: "incp1_3/concat"
  top: "incp1_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: "incp1_tb/bn"
  type: "BatchNorm"
  bottom: "incp1_tb"
  top: "incp1_tb"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp1_tb/scale"
  type: "Scale"
  bottom: "incp1_tb"
  top: "incp1_tb"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp1_tb/relu"
  type: "ReLU"
  bottom: "incp1_tb"
  top: "incp1_tb"
}
layer {
  name: "incp1_tb/pool"
  type: "Pooling"
  bottom: "incp1_tb"
  top: "incp1_tb/pool"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "incp2_1/branch1a"
  type: "Convolution"
  bottom: "incp1_tb/pool"
  top: "incp2_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: "incp2_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp2_1/branch1a"
  top: "incp2_1/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_1/branch1a/scale"
  type: "Scale"
  bottom: "incp2_1/branch1a"
  top: "incp2_1/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_1/branch1a/relu"
  type: "ReLU"
  bottom: "incp2_1/branch1a"
  top: "incp2_1/branch1a"
}
layer {
  name: "incp2_1/branch1b"
  type: "Convolution"
  bottom: "incp2_1/branch1a"
  top: "incp2_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: "incp2_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp2_1/branch1b"
  top: "incp2_1/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_1/branch1b/scale"
  type: "Scale"
  bottom: "incp2_1/branch1b"
  top: "incp2_1/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_1/branch1b/relu"
  type: "ReLU"
  bottom: "incp2_1/branch1b"
  top: "incp2_1/branch1b"
}
layer {
  name: "incp2_1/branch2a"
  type: "Convolution"
  bottom: "incp1_tb/pool"
  top: "incp2_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: "incp2_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp2_1/branch2a"
  top: "incp2_1/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_1/branch2a/scale"
  type: "Scale"
  bottom: "incp2_1/branch2a"
  top: "incp2_1/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_1/branch2a/relu"
  type: "ReLU"
  bottom: "incp2_1/branch2a"
  top: "incp2_1/branch2a"
}
layer {
  name: "incp2_1/branch2b"
  type: "Convolution"
  bottom: "incp2_1/branch2a"
  top: "incp2_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: "incp2_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp2_1/branch2b"
  top: "incp2_1/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_1/branch2b/scale"
  type: "Scale"
  bottom: "incp2_1/branch2b"
  top: "incp2_1/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_1/branch2b/relu"
  type: "ReLU"
  bottom: "incp2_1/branch2b"
  top: "incp2_1/branch2b"
}
layer {
  name: "incp2_1/branch2c"
  type: "Convolution"
  bottom: "incp2_1/branch2b"
  top: "incp2_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: "incp2_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp2_1/branch2c"
  top: "incp2_1/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_1/branch2c/scale"
  type: "Scale"
  bottom: "incp2_1/branch2c"
  top: "incp2_1/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_1/branch2c/relu"
  type: "ReLU"
  bottom: "incp2_1/branch2c"
  top: "incp2_1/branch2c"
}
layer {
  name: "incp2_1/concat"
  type: "Concat"
  bottom: "incp1_tb/pool"
  bottom: "incp2_1/branch1b"
  bottom: "incp2_1/branch2c"
  top: "incp2_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp2_2/branch1a"
  type: "Convolution"
  bottom: "incp2_1/concat"
  top: "incp2_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: "incp2_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp2_2/branch1a"
  top: "incp2_2/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_2/branch1a/scale"
  type: "Scale"
  bottom: "incp2_2/branch1a"
  top: "incp2_2/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_2/branch1a/relu"
  type: "ReLU"
  bottom: "incp2_2/branch1a"
  top: "incp2_2/branch1a"
}
layer {
  name: "incp2_2/branch1b"
  type: "Convolution"
  bottom: "incp2_2/branch1a"
  top: "incp2_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: "incp2_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp2_2/branch1b"
  top: "incp2_2/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_2/branch1b/scale"
  type: "Scale"
  bottom: "incp2_2/branch1b"
  top: "incp2_2/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_2/branch1b/relu"
  type: "ReLU"
  bottom: "incp2_2/branch1b"
  top: "incp2_2/branch1b"
}
layer {
  name: "incp2_2/branch2a"
  type: "Convolution"
  bottom: "incp2_1/concat"
  top: "incp2_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: "incp2_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp2_2/branch2a"
  top: "incp2_2/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_2/branch2a/scale"
  type: "Scale"
  bottom: "incp2_2/branch2a"
  top: "incp2_2/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_2/branch2a/relu"
  type: "ReLU"
  bottom: "incp2_2/branch2a"
  top: "incp2_2/branch2a"
}
layer {
  name: "incp2_2/branch2b"
  type: "Convolution"
  bottom: "incp2_2/branch2a"
  top: "incp2_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: "incp2_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp2_2/branch2b"
  top: "incp2_2/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_2/branch2b/scale"
  type: "Scale"
  bottom: "incp2_2/branch2b"
  top: "incp2_2/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_2/branch2b/relu"
  type: "ReLU"
  bottom: "incp2_2/branch2b"
  top: "incp2_2/branch2b"
}
layer {
  name: "incp2_2/branch2c"
  type: "Convolution"
  bottom: "incp2_2/branch2b"
  top: "incp2_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: "incp2_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp2_2/branch2c"
  top: "incp2_2/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_2/branch2c/scale"
  type: "Scale"
  bottom: "incp2_2/branch2c"
  top: "incp2_2/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_2/branch2c/relu"
  type: "ReLU"
  bottom: "incp2_2/branch2c"
  top: "incp2_2/branch2c"
}
layer {
  name: "incp2_2/concat"
  type: "Concat"
  bottom: "incp2_1/concat"
  bottom: "incp2_2/branch1b"
  bottom: "incp2_2/branch2c"
  top: "incp2_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp2_3/branch1a"
  type: "Convolution"
  bottom: "incp2_2/concat"
  top: "incp2_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: "incp2_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp2_3/branch1a"
  top: "incp2_3/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_3/branch1a/scale"
  type: "Scale"
  bottom: "incp2_3/branch1a"
  top: "incp2_3/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_3/branch1a/relu"
  type: "ReLU"
  bottom: "incp2_3/branch1a"
  top: "incp2_3/branch1a"
}
layer {
  name: "incp2_3/branch1b"
  type: "Convolution"
  bottom: "incp2_3/branch1a"
  top: "incp2_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: "incp2_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp2_3/branch1b"
  top: "incp2_3/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_3/branch1b/scale"
  type: "Scale"
  bottom: "incp2_3/branch1b"
  top: "incp2_3/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_3/branch1b/relu"
  type: "ReLU"
  bottom: "incp2_3/branch1b"
  top: "incp2_3/branch1b"
}
layer {
  name: "incp2_3/branch2a"
  type: "Convolution"
  bottom: "incp2_2/concat"
  top: "incp2_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: "incp2_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp2_3/branch2a"
  top: "incp2_3/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_3/branch2a/scale"
  type: "Scale"
  bottom: "incp2_3/branch2a"
  top: "incp2_3/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_3/branch2a/relu"
  type: "ReLU"
  bottom: "incp2_3/branch2a"
  top: "incp2_3/branch2a"
}
layer {
  name: "incp2_3/branch2b"
  type: "Convolution"
  bottom: "incp2_3/branch2a"
  top: "incp2_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: "incp2_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp2_3/branch2b"
  top: "incp2_3/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_3/branch2b/scale"
  type: "Scale"
  bottom: "incp2_3/branch2b"
  top: "incp2_3/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_3/branch2b/relu"
  type: "ReLU"
  bottom: "incp2_3/branch2b"
  top: "incp2_3/branch2b"
}
layer {
  name: "incp2_3/branch2c"
  type: "Convolution"
  bottom: "incp2_3/branch2b"
  top: "incp2_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: "incp2_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp2_3/branch2c"
  top: "incp2_3/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_3/branch2c/scale"
  type: "Scale"
  bottom: "incp2_3/branch2c"
  top: "incp2_3/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_3/branch2c/relu"
  type: "ReLU"
  bottom: "incp2_3/branch2c"
  top: "incp2_3/branch2c"
}
layer {
  name: "incp2_3/concat"
  type: "Concat"
  bottom: "incp2_2/concat"
  bottom: "incp2_3/branch1b"
  bottom: "incp2_3/branch2c"
  top: "incp2_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp2_4/branch1a"
  type: "Convolution"
  bottom: "incp2_3/concat"
  top: "incp2_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: "incp2_4/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp2_4/branch1a"
  top: "incp2_4/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_4/branch1a/scale"
  type: "Scale"
  bottom: "incp2_4/branch1a"
  top: "incp2_4/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_4/branch1a/relu"
  type: "ReLU"
  bottom: "incp2_4/branch1a"
  top: "incp2_4/branch1a"
}
layer {
  name: "incp2_4/branch1b"
  type: "Convolution"
  bottom: "incp2_4/branch1a"
  top: "incp2_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: "incp2_4/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp2_4/branch1b"
  top: "incp2_4/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_4/branch1b/scale"
  type: "Scale"
  bottom: "incp2_4/branch1b"
  top: "incp2_4/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_4/branch1b/relu"
  type: "ReLU"
  bottom: "incp2_4/branch1b"
  top: "incp2_4/branch1b"
}
layer {
  name: "incp2_4/branch2a"
  type: "Convolution"
  bottom: "incp2_3/concat"
  top: "incp2_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: "incp2_4/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp2_4/branch2a"
  top: "incp2_4/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_4/branch2a/scale"
  type: "Scale"
  bottom: "incp2_4/branch2a"
  top: "incp2_4/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_4/branch2a/relu"
  type: "ReLU"
  bottom: "incp2_4/branch2a"
  top: "incp2_4/branch2a"
}
layer {
  name: "incp2_4/branch2b"
  type: "Convolution"
  bottom: "incp2_4/branch2a"
  top: "incp2_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: "incp2_4/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp2_4/branch2b"
  top: "incp2_4/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_4/branch2b/scale"
  type: "Scale"
  bottom: "incp2_4/branch2b"
  top: "incp2_4/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_4/branch2b/relu"
  type: "ReLU"
  bottom: "incp2_4/branch2b"
  top: "incp2_4/branch2b"
}
layer {
  name: "incp2_4/branch2c"
  type: "Convolution"
  bottom: "incp2_4/branch2b"
  top: "incp2_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: "incp2_4/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp2_4/branch2c"
  top: "incp2_4/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_4/branch2c/scale"
  type: "Scale"
  bottom: "incp2_4/branch2c"
  top: "incp2_4/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_4/branch2c/relu"
  type: "ReLU"
  bottom: "incp2_4/branch2c"
  top: "incp2_4/branch2c"
}
layer {
  name: "incp2_4/concat"
  type: "Concat"
  bottom: "incp2_3/concat"
  bottom: "incp2_4/branch1b"
  bottom: "incp2_4/branch2c"
  top: "incp2_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp2_tb"
  type: "Convolution"
  bottom: "incp2_4/concat"
  top: "incp2_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: "incp2_tb/bn"
  type: "BatchNorm"
  bottom: "incp2_tb"
  top: "incp2_tb"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp2_tb/scale"
  type: "Scale"
  bottom: "incp2_tb"
  top: "incp2_tb"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp2_tb/relu"
  type: "ReLU"
  bottom: "incp2_tb"
  top: "incp2_tb"
}
layer {
  name: "incp2_tb/pool"
  type: "Pooling"
  bottom: "incp2_tb"
  top: "incp2_tb/pool"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "incp3_1/branch1a"
  type: "Convolution"
  bottom: "incp2_tb/pool"
  top: "incp3_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: "incp3_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_1/branch1a"
  top: "incp3_1/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_1/branch1a/scale"
  type: "Scale"
  bottom: "incp3_1/branch1a"
  top: "incp3_1/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_1/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_1/branch1a"
  top: "incp3_1/branch1a"
}
layer {
  name: "incp3_1/branch1b"
  type: "Convolution"
  bottom: "incp3_1/branch1a"
  top: "incp3_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: "incp3_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_1/branch1b"
  top: "incp3_1/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_1/branch1b/scale"
  type: "Scale"
  bottom: "incp3_1/branch1b"
  top: "incp3_1/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_1/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_1/branch1b"
  top: "incp3_1/branch1b"
}
layer {
  name: "incp3_1/branch2a"
  type: "Convolution"
  bottom: "incp2_tb/pool"
  top: "incp3_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: "incp3_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_1/branch2a"
  top: "incp3_1/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_1/branch2a/scale"
  type: "Scale"
  bottom: "incp3_1/branch2a"
  top: "incp3_1/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_1/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_1/branch2a"
  top: "incp3_1/branch2a"
}
layer {
  name: "incp3_1/branch2b"
  type: "Convolution"
  bottom: "incp3_1/branch2a"
  top: "incp3_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: "incp3_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_1/branch2b"
  top: "incp3_1/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_1/branch2b/scale"
  type: "Scale"
  bottom: "incp3_1/branch2b"
  top: "incp3_1/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_1/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_1/branch2b"
  top: "incp3_1/branch2b"
}
layer {
  name: "incp3_1/branch2c"
  type: "Convolution"
  bottom: "incp3_1/branch2b"
  top: "incp3_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: "incp3_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_1/branch2c"
  top: "incp3_1/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_1/branch2c/scale"
  type: "Scale"
  bottom: "incp3_1/branch2c"
  top: "incp3_1/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_1/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_1/branch2c"
  top: "incp3_1/branch2c"
}
layer {
  name: "incp3_1/concat"
  type: "Concat"
  bottom: "incp2_tb/pool"
  bottom: "incp3_1/branch1b"
  bottom: "incp3_1/branch2c"
  top: "incp3_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_2/branch1a"
  type: "Convolution"
  bottom: "incp3_1/concat"
  top: "incp3_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: "incp3_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_2/branch1a"
  top: "incp3_2/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_2/branch1a/scale"
  type: "Scale"
  bottom: "incp3_2/branch1a"
  top: "incp3_2/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_2/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_2/branch1a"
  top: "incp3_2/branch1a"
}
layer {
  name: "incp3_2/branch1b"
  type: "Convolution"
  bottom: "incp3_2/branch1a"
  top: "incp3_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: "incp3_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_2/branch1b"
  top: "incp3_2/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_2/branch1b/scale"
  type: "Scale"
  bottom: "incp3_2/branch1b"
  top: "incp3_2/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_2/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_2/branch1b"
  top: "incp3_2/branch1b"
}
layer {
  name: "incp3_2/branch2a"
  type: "Convolution"
  bottom: "incp3_1/concat"
  top: "incp3_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: "incp3_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_2/branch2a"
  top: "incp3_2/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_2/branch2a/scale"
  type: "Scale"
  bottom: "incp3_2/branch2a"
  top: "incp3_2/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_2/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_2/branch2a"
  top: "incp3_2/branch2a"
}
layer {
  name: "incp3_2/branch2b"
  type: "Convolution"
  bottom: "incp3_2/branch2a"
  top: "incp3_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: "incp3_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_2/branch2b"
  top: "incp3_2/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_2/branch2b/scale"
  type: "Scale"
  bottom: "incp3_2/branch2b"
  top: "incp3_2/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_2/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_2/branch2b"
  top: "incp3_2/branch2b"
}
layer {
  name: "incp3_2/branch2c"
  type: "Convolution"
  bottom: "incp3_2/branch2b"
  top: "incp3_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: "incp3_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_2/branch2c"
  top: "incp3_2/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_2/branch2c/scale"
  type: "Scale"
  bottom: "incp3_2/branch2c"
  top: "incp3_2/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_2/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_2/branch2c"
  top: "incp3_2/branch2c"
}
layer {
  name: "incp3_2/concat"
  type: "Concat"
  bottom: "incp3_1/concat"
  bottom: "incp3_2/branch1b"
  bottom: "incp3_2/branch2c"
  top: "incp3_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_3/branch1a"
  type: "Convolution"
  bottom: "incp3_2/concat"
  top: "incp3_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: "incp3_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_3/branch1a"
  top: "incp3_3/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_3/branch1a/scale"
  type: "Scale"
  bottom: "incp3_3/branch1a"
  top: "incp3_3/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_3/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_3/branch1a"
  top: "incp3_3/branch1a"
}
layer {
  name: "incp3_3/branch1b"
  type: "Convolution"
  bottom: "incp3_3/branch1a"
  top: "incp3_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: "incp3_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_3/branch1b"
  top: "incp3_3/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_3/branch1b/scale"
  type: "Scale"
  bottom: "incp3_3/branch1b"
  top: "incp3_3/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_3/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_3/branch1b"
  top: "incp3_3/branch1b"
}
layer {
  name: "incp3_3/branch2a"
  type: "Convolution"
  bottom: "incp3_2/concat"
  top: "incp3_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: "incp3_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_3/branch2a"
  top: "incp3_3/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_3/branch2a/scale"
  type: "Scale"
  bottom: "incp3_3/branch2a"
  top: "incp3_3/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_3/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_3/branch2a"
  top: "incp3_3/branch2a"
}
layer {
  name: "incp3_3/branch2b"
  type: "Convolution"
  bottom: "incp3_3/branch2a"
  top: "incp3_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: "incp3_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_3/branch2b"
  top: "incp3_3/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_3/branch2b/scale"
  type: "Scale"
  bottom: "incp3_3/branch2b"
  top: "incp3_3/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_3/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_3/branch2b"
  top: "incp3_3/branch2b"
}
layer {
  name: "incp3_3/branch2c"
  type: "Convolution"
  bottom: "incp3_3/branch2b"
  top: "incp3_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: "incp3_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_3/branch2c"
  top: "incp3_3/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_3/branch2c/scale"
  type: "Scale"
  bottom: "incp3_3/branch2c"
  top: "incp3_3/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_3/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_3/branch2c"
  top: "incp3_3/branch2c"
}
layer {
  name: "incp3_3/concat"
  type: "Concat"
  bottom: "incp3_2/concat"
  bottom: "incp3_3/branch1b"
  bottom: "incp3_3/branch2c"
  top: "incp3_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_4/branch1a"
  type: "Convolution"
  bottom: "incp3_3/concat"
  top: "incp3_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: "incp3_4/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_4/branch1a"
  top: "incp3_4/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_4/branch1a/scale"
  type: "Scale"
  bottom: "incp3_4/branch1a"
  top: "incp3_4/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_4/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_4/branch1a"
  top: "incp3_4/branch1a"
}
layer {
  name: "incp3_4/branch1b"
  type: "Convolution"
  bottom: "incp3_4/branch1a"
  top: "incp3_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: "incp3_4/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_4/branch1b"
  top: "incp3_4/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_4/branch1b/scale"
  type: "Scale"
  bottom: "incp3_4/branch1b"
  top: "incp3_4/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_4/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_4/branch1b"
  top: "incp3_4/branch1b"
}
layer {
  name: "incp3_4/branch2a"
  type: "Convolution"
  bottom: "incp3_3/concat"
  top: "incp3_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: "incp3_4/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_4/branch2a"
  top: "incp3_4/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_4/branch2a/scale"
  type: "Scale"
  bottom: "incp3_4/branch2a"
  top: "incp3_4/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_4/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_4/branch2a"
  top: "incp3_4/branch2a"
}
layer {
  name: "incp3_4/branch2b"
  type: "Convolution"
  bottom: "incp3_4/branch2a"
  top: "incp3_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: "incp3_4/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_4/branch2b"
  top: "incp3_4/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_4/branch2b/scale"
  type: "Scale"
  bottom: "incp3_4/branch2b"
  top: "incp3_4/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_4/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_4/branch2b"
  top: "incp3_4/branch2b"
}
layer {
  name: "incp3_4/branch2c"
  type: "Convolution"
  bottom: "incp3_4/branch2b"
  top: "incp3_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: "incp3_4/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_4/branch2c"
  top: "incp3_4/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_4/branch2c/scale"
  type: "Scale"
  bottom: "incp3_4/branch2c"
  top: "incp3_4/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_4/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_4/branch2c"
  top: "incp3_4/branch2c"
}
layer {
  name: "incp3_4/concat"
  type: "Concat"
  bottom: "incp3_3/concat"
  bottom: "incp3_4/branch1b"
  bottom: "incp3_4/branch2c"
  top: "incp3_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_5/branch1a"
  type: "Convolution"
  bottom: "incp3_4/concat"
  top: "incp3_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: "incp3_5/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_5/branch1a"
  top: "incp3_5/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_5/branch1a/scale"
  type: "Scale"
  bottom: "incp3_5/branch1a"
  top: "incp3_5/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_5/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_5/branch1a"
  top: "incp3_5/branch1a"
}
layer {
  name: "incp3_5/branch1b"
  type: "Convolution"
  bottom: "incp3_5/branch1a"
  top: "incp3_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: "incp3_5/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_5/branch1b"
  top: "incp3_5/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_5/branch1b/scale"
  type: "Scale"
  bottom: "incp3_5/branch1b"
  top: "incp3_5/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_5/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_5/branch1b"
  top: "incp3_5/branch1b"
}
layer {
  name: "incp3_5/branch2a"
  type: "Convolution"
  bottom: "incp3_4/concat"
  top: "incp3_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: "incp3_5/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_5/branch2a"
  top: "incp3_5/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_5/branch2a/scale"
  type: "Scale"
  bottom: "incp3_5/branch2a"
  top: "incp3_5/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_5/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_5/branch2a"
  top: "incp3_5/branch2a"
}
layer {
  name: "incp3_5/branch2b"
  type: "Convolution"
  bottom: "incp3_5/branch2a"
  top: "incp3_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: "incp3_5/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_5/branch2b"
  top: "incp3_5/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_5/branch2b/scale"
  type: "Scale"
  bottom: "incp3_5/branch2b"
  top: "incp3_5/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_5/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_5/branch2b"
  top: "incp3_5/branch2b"
}
layer {
  name: "incp3_5/branch2c"
  type: "Convolution"
  bottom: "incp3_5/branch2b"
  top: "incp3_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: "incp3_5/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_5/branch2c"
  top: "incp3_5/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_5/branch2c/scale"
  type: "Scale"
  bottom: "incp3_5/branch2c"
  top: "incp3_5/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_5/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_5/branch2c"
  top: "incp3_5/branch2c"
}
layer {
  name: "incp3_5/concat"
  type: "Concat"
  bottom: "incp3_4/concat"
  bottom: "incp3_5/branch1b"
  bottom: "incp3_5/branch2c"
  top: "incp3_5/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_6/branch1a"
  type: "Convolution"
  bottom: "incp3_5/concat"
  top: "incp3_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: "incp3_6/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_6/branch1a"
  top: "incp3_6/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_6/branch1a/scale"
  type: "Scale"
  bottom: "incp3_6/branch1a"
  top: "incp3_6/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_6/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_6/branch1a"
  top: "incp3_6/branch1a"
}
layer {
  name: "incp3_6/branch1b"
  type: "Convolution"
  bottom: "incp3_6/branch1a"
  top: "incp3_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: "incp3_6/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_6/branch1b"
  top: "incp3_6/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_6/branch1b/scale"
  type: "Scale"
  bottom: "incp3_6/branch1b"
  top: "incp3_6/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_6/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_6/branch1b"
  top: "incp3_6/branch1b"
}
layer {
  name: "incp3_6/branch2a"
  type: "Convolution"
  bottom: "incp3_5/concat"
  top: "incp3_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: "incp3_6/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_6/branch2a"
  top: "incp3_6/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_6/branch2a/scale"
  type: "Scale"
  bottom: "incp3_6/branch2a"
  top: "incp3_6/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_6/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_6/branch2a"
  top: "incp3_6/branch2a"
}
layer {
  name: "incp3_6/branch2b"
  type: "Convolution"
  bottom: "incp3_6/branch2a"
  top: "incp3_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: "incp3_6/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_6/branch2b"
  top: "incp3_6/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_6/branch2b/scale"
  type: "Scale"
  bottom: "incp3_6/branch2b"
  top: "incp3_6/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_6/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_6/branch2b"
  top: "incp3_6/branch2b"
}
layer {
  name: "incp3_6/branch2c"
  type: "Convolution"
  bottom: "incp3_6/branch2b"
  top: "incp3_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: "incp3_6/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_6/branch2c"
  top: "incp3_6/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_6/branch2c/scale"
  type: "Scale"
  bottom: "incp3_6/branch2c"
  top: "incp3_6/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_6/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_6/branch2c"
  top: "incp3_6/branch2c"
}
layer {
  name: "incp3_6/concat"
  type: "Concat"
  bottom: "incp3_5/concat"
  bottom: "incp3_6/branch1b"
  bottom: "incp3_6/branch2c"
  top: "incp3_6/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_7/branch1a"
  type: "Convolution"
  bottom: "incp3_6/concat"
  top: "incp3_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: "incp3_7/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_7/branch1a"
  top: "incp3_7/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_7/branch1a/scale"
  type: "Scale"
  bottom: "incp3_7/branch1a"
  top: "incp3_7/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_7/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_7/branch1a"
  top: "incp3_7/branch1a"
}
layer {
  name: "incp3_7/branch1b"
  type: "Convolution"
  bottom: "incp3_7/branch1a"
  top: "incp3_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: "incp3_7/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_7/branch1b"
  top: "incp3_7/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_7/branch1b/scale"
  type: "Scale"
  bottom: "incp3_7/branch1b"
  top: "incp3_7/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_7/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_7/branch1b"
  top: "incp3_7/branch1b"
}
layer {
  name: "incp3_7/branch2a"
  type: "Convolution"
  bottom: "incp3_6/concat"
  top: "incp3_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: "incp3_7/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_7/branch2a"
  top: "incp3_7/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_7/branch2a/scale"
  type: "Scale"
  bottom: "incp3_7/branch2a"
  top: "incp3_7/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_7/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_7/branch2a"
  top: "incp3_7/branch2a"
}
layer {
  name: "incp3_7/branch2b"
  type: "Convolution"
  bottom: "incp3_7/branch2a"
  top: "incp3_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: "incp3_7/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_7/branch2b"
  top: "incp3_7/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_7/branch2b/scale"
  type: "Scale"
  bottom: "incp3_7/branch2b"
  top: "incp3_7/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_7/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_7/branch2b"
  top: "incp3_7/branch2b"
}
layer {
  name: "incp3_7/branch2c"
  type: "Convolution"
  bottom: "incp3_7/branch2b"
  top: "incp3_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: "incp3_7/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_7/branch2c"
  top: "incp3_7/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_7/branch2c/scale"
  type: "Scale"
  bottom: "incp3_7/branch2c"
  top: "incp3_7/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_7/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_7/branch2c"
  top: "incp3_7/branch2c"
}
layer {
  name: "incp3_7/concat"
  type: "Concat"
  bottom: "incp3_6/concat"
  bottom: "incp3_7/branch1b"
  bottom: "incp3_7/branch2c"
  top: "incp3_7/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_8/branch1a"
  type: "Convolution"
  bottom: "incp3_7/concat"
  top: "incp3_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: "incp3_8/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp3_8/branch1a"
  top: "incp3_8/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_8/branch1a/scale"
  type: "Scale"
  bottom: "incp3_8/branch1a"
  top: "incp3_8/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_8/branch1a/relu"
  type: "ReLU"
  bottom: "incp3_8/branch1a"
  top: "incp3_8/branch1a"
}
layer {
  name: "incp3_8/branch1b"
  type: "Convolution"
  bottom: "incp3_8/branch1a"
  top: "incp3_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: "incp3_8/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp3_8/branch1b"
  top: "incp3_8/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_8/branch1b/scale"
  type: "Scale"
  bottom: "incp3_8/branch1b"
  top: "incp3_8/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_8/branch1b/relu"
  type: "ReLU"
  bottom: "incp3_8/branch1b"
  top: "incp3_8/branch1b"
}
layer {
  name: "incp3_8/branch2a"
  type: "Convolution"
  bottom: "incp3_7/concat"
  top: "incp3_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: "incp3_8/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp3_8/branch2a"
  top: "incp3_8/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_8/branch2a/scale"
  type: "Scale"
  bottom: "incp3_8/branch2a"
  top: "incp3_8/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_8/branch2a/relu"
  type: "ReLU"
  bottom: "incp3_8/branch2a"
  top: "incp3_8/branch2a"
}
layer {
  name: "incp3_8/branch2b"
  type: "Convolution"
  bottom: "incp3_8/branch2a"
  top: "incp3_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: "incp3_8/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp3_8/branch2b"
  top: "incp3_8/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_8/branch2b/scale"
  type: "Scale"
  bottom: "incp3_8/branch2b"
  top: "incp3_8/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_8/branch2b/relu"
  type: "ReLU"
  bottom: "incp3_8/branch2b"
  top: "incp3_8/branch2b"
}
layer {
  name: "incp3_8/branch2c"
  type: "Convolution"
  bottom: "incp3_8/branch2b"
  top: "incp3_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: "incp3_8/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp3_8/branch2c"
  top: "incp3_8/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_8/branch2c/scale"
  type: "Scale"
  bottom: "incp3_8/branch2c"
  top: "incp3_8/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_8/branch2c/relu"
  type: "ReLU"
  bottom: "incp3_8/branch2c"
  top: "incp3_8/branch2c"
}
layer {
  name: "incp3_8/concat"
  type: "Concat"
  bottom: "incp3_7/concat"
  bottom: "incp3_8/branch1b"
  bottom: "incp3_8/branch2c"
  top: "incp3_8/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp3_tb"
  type: "Convolution"
  bottom: "incp3_8/concat"
  top: "incp3_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: "incp3_tb/bn"
  type: "BatchNorm"
  bottom: "incp3_tb"
  top: "incp3_tb"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp3_tb/scale"
  type: "Scale"
  bottom: "incp3_tb"
  top: "incp3_tb"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp3_tb/relu"
  type: "ReLU"
  bottom: "incp3_tb"
  top: "incp3_tb"
}
layer {
  name: "incp3_tb/pool"
  type: "Pooling"
  bottom: "incp3_tb"
  top: "incp3_tb/pool"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "incp4_1/branch1a"
  type: "Convolution"
  bottom: "incp3_tb/pool"
  top: "incp4_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: "incp4_1/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp4_1/branch1a"
  top: "incp4_1/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_1/branch1a/scale"
  type: "Scale"
  bottom: "incp4_1/branch1a"
  top: "incp4_1/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_1/branch1a/relu"
  type: "ReLU"
  bottom: "incp4_1/branch1a"
  top: "incp4_1/branch1a"
}
layer {
  name: "incp4_1/branch1b"
  type: "Convolution"
  bottom: "incp4_1/branch1a"
  top: "incp4_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: "incp4_1/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp4_1/branch1b"
  top: "incp4_1/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_1/branch1b/scale"
  type: "Scale"
  bottom: "incp4_1/branch1b"
  top: "incp4_1/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_1/branch1b/relu"
  type: "ReLU"
  bottom: "incp4_1/branch1b"
  top: "incp4_1/branch1b"
}
layer {
  name: "incp4_1/branch2a"
  type: "Convolution"
  bottom: "incp3_tb/pool"
  top: "incp4_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: "incp4_1/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp4_1/branch2a"
  top: "incp4_1/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_1/branch2a/scale"
  type: "Scale"
  bottom: "incp4_1/branch2a"
  top: "incp4_1/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_1/branch2a/relu"
  type: "ReLU"
  bottom: "incp4_1/branch2a"
  top: "incp4_1/branch2a"
}
layer {
  name: "incp4_1/branch2b"
  type: "Convolution"
  bottom: "incp4_1/branch2a"
  top: "incp4_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: "incp4_1/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp4_1/branch2b"
  top: "incp4_1/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_1/branch2b/scale"
  type: "Scale"
  bottom: "incp4_1/branch2b"
  top: "incp4_1/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_1/branch2b/relu"
  type: "ReLU"
  bottom: "incp4_1/branch2b"
  top: "incp4_1/branch2b"
}
layer {
  name: "incp4_1/branch2c"
  type: "Convolution"
  bottom: "incp4_1/branch2b"
  top: "incp4_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: "incp4_1/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp4_1/branch2c"
  top: "incp4_1/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_1/branch2c/scale"
  type: "Scale"
  bottom: "incp4_1/branch2c"
  top: "incp4_1/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_1/branch2c/relu"
  type: "ReLU"
  bottom: "incp4_1/branch2c"
  top: "incp4_1/branch2c"
}
layer {
  name: "incp4_1/concat"
  type: "Concat"
  bottom: "incp3_tb/pool"
  bottom: "incp4_1/branch1b"
  bottom: "incp4_1/branch2c"
  top: "incp4_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp4_2/branch1a"
  type: "Convolution"
  bottom: "incp4_1/concat"
  top: "incp4_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: "incp4_2/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp4_2/branch1a"
  top: "incp4_2/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_2/branch1a/scale"
  type: "Scale"
  bottom: "incp4_2/branch1a"
  top: "incp4_2/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_2/branch1a/relu"
  type: "ReLU"
  bottom: "incp4_2/branch1a"
  top: "incp4_2/branch1a"
}
layer {
  name: "incp4_2/branch1b"
  type: "Convolution"
  bottom: "incp4_2/branch1a"
  top: "incp4_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: "incp4_2/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp4_2/branch1b"
  top: "incp4_2/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_2/branch1b/scale"
  type: "Scale"
  bottom: "incp4_2/branch1b"
  top: "incp4_2/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_2/branch1b/relu"
  type: "ReLU"
  bottom: "incp4_2/branch1b"
  top: "incp4_2/branch1b"
}
layer {
  name: "incp4_2/branch2a"
  type: "Convolution"
  bottom: "incp4_1/concat"
  top: "incp4_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: "incp4_2/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp4_2/branch2a"
  top: "incp4_2/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_2/branch2a/scale"
  type: "Scale"
  bottom: "incp4_2/branch2a"
  top: "incp4_2/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_2/branch2a/relu"
  type: "ReLU"
  bottom: "incp4_2/branch2a"
  top: "incp4_2/branch2a"
}
layer {
  name: "incp4_2/branch2b"
  type: "Convolution"
  bottom: "incp4_2/branch2a"
  top: "incp4_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: "incp4_2/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp4_2/branch2b"
  top: "incp4_2/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_2/branch2b/scale"
  type: "Scale"
  bottom: "incp4_2/branch2b"
  top: "incp4_2/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_2/branch2b/relu"
  type: "ReLU"
  bottom: "incp4_2/branch2b"
  top: "incp4_2/branch2b"
}
layer {
  name: "incp4_2/branch2c"
  type: "Convolution"
  bottom: "incp4_2/branch2b"
  top: "incp4_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: "incp4_2/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp4_2/branch2c"
  top: "incp4_2/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_2/branch2c/scale"
  type: "Scale"
  bottom: "incp4_2/branch2c"
  top: "incp4_2/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_2/branch2c/relu"
  type: "ReLU"
  bottom: "incp4_2/branch2c"
  top: "incp4_2/branch2c"
}
layer {
  name: "incp4_2/concat"
  type: "Concat"
  bottom: "incp4_1/concat"
  bottom: "incp4_2/branch1b"
  bottom: "incp4_2/branch2c"
  top: "incp4_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp4_3/branch1a"
  type: "Convolution"
  bottom: "incp4_2/concat"
  top: "incp4_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: "incp4_3/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp4_3/branch1a"
  top: "incp4_3/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_3/branch1a/scale"
  type: "Scale"
  bottom: "incp4_3/branch1a"
  top: "incp4_3/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_3/branch1a/relu"
  type: "ReLU"
  bottom: "incp4_3/branch1a"
  top: "incp4_3/branch1a"
}
layer {
  name: "incp4_3/branch1b"
  type: "Convolution"
  bottom: "incp4_3/branch1a"
  top: "incp4_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: "incp4_3/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp4_3/branch1b"
  top: "incp4_3/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_3/branch1b/scale"
  type: "Scale"
  bottom: "incp4_3/branch1b"
  top: "incp4_3/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_3/branch1b/relu"
  type: "ReLU"
  bottom: "incp4_3/branch1b"
  top: "incp4_3/branch1b"
}
layer {
  name: "incp4_3/branch2a"
  type: "Convolution"
  bottom: "incp4_2/concat"
  top: "incp4_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: "incp4_3/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp4_3/branch2a"
  top: "incp4_3/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_3/branch2a/scale"
  type: "Scale"
  bottom: "incp4_3/branch2a"
  top: "incp4_3/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_3/branch2a/relu"
  type: "ReLU"
  bottom: "incp4_3/branch2a"
  top: "incp4_3/branch2a"
}
layer {
  name: "incp4_3/branch2b"
  type: "Convolution"
  bottom: "incp4_3/branch2a"
  top: "incp4_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: "incp4_3/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp4_3/branch2b"
  top: "incp4_3/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_3/branch2b/scale"
  type: "Scale"
  bottom: "incp4_3/branch2b"
  top: "incp4_3/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_3/branch2b/relu"
  type: "ReLU"
  bottom: "incp4_3/branch2b"
  top: "incp4_3/branch2b"
}
layer {
  name: "incp4_3/branch2c"
  type: "Convolution"
  bottom: "incp4_3/branch2b"
  top: "incp4_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: "incp4_3/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp4_3/branch2c"
  top: "incp4_3/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_3/branch2c/scale"
  type: "Scale"
  bottom: "incp4_3/branch2c"
  top: "incp4_3/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_3/branch2c/relu"
  type: "ReLU"
  bottom: "incp4_3/branch2c"
  top: "incp4_3/branch2c"
}
layer {
  name: "incp4_3/concat"
  type: "Concat"
  bottom: "incp4_2/concat"
  bottom: "incp4_3/branch1b"
  bottom: "incp4_3/branch2c"
  top: "incp4_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp4_4/branch1a"
  type: "Convolution"
  bottom: "incp4_3/concat"
  top: "incp4_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: "incp4_4/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp4_4/branch1a"
  top: "incp4_4/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_4/branch1a/scale"
  type: "Scale"
  bottom: "incp4_4/branch1a"
  top: "incp4_4/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_4/branch1a/relu"
  type: "ReLU"
  bottom: "incp4_4/branch1a"
  top: "incp4_4/branch1a"
}
layer {
  name: "incp4_4/branch1b"
  type: "Convolution"
  bottom: "incp4_4/branch1a"
  top: "incp4_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: "incp4_4/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp4_4/branch1b"
  top: "incp4_4/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_4/branch1b/scale"
  type: "Scale"
  bottom: "incp4_4/branch1b"
  top: "incp4_4/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_4/branch1b/relu"
  type: "ReLU"
  bottom: "incp4_4/branch1b"
  top: "incp4_4/branch1b"
}
layer {
  name: "incp4_4/branch2a"
  type: "Convolution"
  bottom: "incp4_3/concat"
  top: "incp4_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: "incp4_4/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp4_4/branch2a"
  top: "incp4_4/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_4/branch2a/scale"
  type: "Scale"
  bottom: "incp4_4/branch2a"
  top: "incp4_4/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_4/branch2a/relu"
  type: "ReLU"
  bottom: "incp4_4/branch2a"
  top: "incp4_4/branch2a"
}
layer {
  name: "incp4_4/branch2b"
  type: "Convolution"
  bottom: "incp4_4/branch2a"
  top: "incp4_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: "incp4_4/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp4_4/branch2b"
  top: "incp4_4/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_4/branch2b/scale"
  type: "Scale"
  bottom: "incp4_4/branch2b"
  top: "incp4_4/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_4/branch2b/relu"
  type: "ReLU"
  bottom: "incp4_4/branch2b"
  top: "incp4_4/branch2b"
}
layer {
  name: "incp4_4/branch2c"
  type: "Convolution"
  bottom: "incp4_4/branch2b"
  top: "incp4_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: "incp4_4/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp4_4/branch2c"
  top: "incp4_4/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_4/branch2c/scale"
  type: "Scale"
  bottom: "incp4_4/branch2c"
  top: "incp4_4/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_4/branch2c/relu"
  type: "ReLU"
  bottom: "incp4_4/branch2c"
  top: "incp4_4/branch2c"
}
layer {
  name: "incp4_4/concat"
  type: "Concat"
  bottom: "incp4_3/concat"
  bottom: "incp4_4/branch1b"
  bottom: "incp4_4/branch2c"
  top: "incp4_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp4_5/branch1a"
  type: "Convolution"
  bottom: "incp4_4/concat"
  top: "incp4_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: "incp4_5/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp4_5/branch1a"
  top: "incp4_5/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_5/branch1a/scale"
  type: "Scale"
  bottom: "incp4_5/branch1a"
  top: "incp4_5/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_5/branch1a/relu"
  type: "ReLU"
  bottom: "incp4_5/branch1a"
  top: "incp4_5/branch1a"
}
layer {
  name: "incp4_5/branch1b"
  type: "Convolution"
  bottom: "incp4_5/branch1a"
  top: "incp4_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: "incp4_5/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp4_5/branch1b"
  top: "incp4_5/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_5/branch1b/scale"
  type: "Scale"
  bottom: "incp4_5/branch1b"
  top: "incp4_5/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_5/branch1b/relu"
  type: "ReLU"
  bottom: "incp4_5/branch1b"
  top: "incp4_5/branch1b"
}
layer {
  name: "incp4_5/branch2a"
  type: "Convolution"
  bottom: "incp4_4/concat"
  top: "incp4_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: "incp4_5/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp4_5/branch2a"
  top: "incp4_5/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_5/branch2a/scale"
  type: "Scale"
  bottom: "incp4_5/branch2a"
  top: "incp4_5/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_5/branch2a/relu"
  type: "ReLU"
  bottom: "incp4_5/branch2a"
  top: "incp4_5/branch2a"
}
layer {
  name: "incp4_5/branch2b"
  type: "Convolution"
  bottom: "incp4_5/branch2a"
  top: "incp4_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: "incp4_5/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp4_5/branch2b"
  top: "incp4_5/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_5/branch2b/scale"
  type: "Scale"
  bottom: "incp4_5/branch2b"
  top: "incp4_5/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_5/branch2b/relu"
  type: "ReLU"
  bottom: "incp4_5/branch2b"
  top: "incp4_5/branch2b"
}
layer {
  name: "incp4_5/branch2c"
  type: "Convolution"
  bottom: "incp4_5/branch2b"
  top: "incp4_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: "incp4_5/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp4_5/branch2c"
  top: "incp4_5/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_5/branch2c/scale"
  type: "Scale"
  bottom: "incp4_5/branch2c"
  top: "incp4_5/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_5/branch2c/relu"
  type: "ReLU"
  bottom: "incp4_5/branch2c"
  top: "incp4_5/branch2c"
}
layer {
  name: "incp4_5/concat"
  type: "Concat"
  bottom: "incp4_4/concat"
  bottom: "incp4_5/branch1b"
  bottom: "incp4_5/branch2c"
  top: "incp4_5/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp4_6/branch1a"
  type: "Convolution"
  bottom: "incp4_5/concat"
  top: "incp4_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: "incp4_6/branch1a/bn"
  type: "BatchNorm"
  bottom: "incp4_6/branch1a"
  top: "incp4_6/branch1a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_6/branch1a/scale"
  type: "Scale"
  bottom: "incp4_6/branch1a"
  top: "incp4_6/branch1a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_6/branch1a/relu"
  type: "ReLU"
  bottom: "incp4_6/branch1a"
  top: "incp4_6/branch1a"
}
layer {
  name: "incp4_6/branch1b"
  type: "Convolution"
  bottom: "incp4_6/branch1a"
  top: "incp4_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: "incp4_6/branch1b/bn"
  type: "BatchNorm"
  bottom: "incp4_6/branch1b"
  top: "incp4_6/branch1b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_6/branch1b/scale"
  type: "Scale"
  bottom: "incp4_6/branch1b"
  top: "incp4_6/branch1b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_6/branch1b/relu"
  type: "ReLU"
  bottom: "incp4_6/branch1b"
  top: "incp4_6/branch1b"
}
layer {
  name: "incp4_6/branch2a"
  type: "Convolution"
  bottom: "incp4_5/concat"
  top: "incp4_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: "incp4_6/branch2a/bn"
  type: "BatchNorm"
  bottom: "incp4_6/branch2a"
  top: "incp4_6/branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_6/branch2a/scale"
  type: "Scale"
  bottom: "incp4_6/branch2a"
  top: "incp4_6/branch2a"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_6/branch2a/relu"
  type: "ReLU"
  bottom: "incp4_6/branch2a"
  top: "incp4_6/branch2a"
}
layer {
  name: "incp4_6/branch2b"
  type: "Convolution"
  bottom: "incp4_6/branch2a"
  top: "incp4_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: "incp4_6/branch2b/bn"
  type: "BatchNorm"
  bottom: "incp4_6/branch2b"
  top: "incp4_6/branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_6/branch2b/scale"
  type: "Scale"
  bottom: "incp4_6/branch2b"
  top: "incp4_6/branch2b"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_6/branch2b/relu"
  type: "ReLU"
  bottom: "incp4_6/branch2b"
  top: "incp4_6/branch2b"
}
layer {
  name: "incp4_6/branch2c"
  type: "Convolution"
  bottom: "incp4_6/branch2b"
  top: "incp4_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: "incp4_6/branch2c/bn"
  type: "BatchNorm"
  bottom: "incp4_6/branch2c"
  top: "incp4_6/branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_6/branch2c/scale"
  type: "Scale"
  bottom: "incp4_6/branch2c"
  top: "incp4_6/branch2c"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_6/branch2c/relu"
  type: "ReLU"
  bottom: "incp4_6/branch2c"
  top: "incp4_6/branch2c"
}
layer {
  name: "incp4_6/concat"
  type: "Concat"
  bottom: "incp4_5/concat"
  bottom: "incp4_6/branch1b"
  bottom: "incp4_6/branch2c"
  top: "incp4_6/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "incp4_tb"
  type: "Convolution"
  bottom: "incp4_6/concat"
  top: "incp4_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: "incp4_tb/bn"
  type: "BatchNorm"
  bottom: "incp4_tb"
  top: "incp4_tb"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    moving_average_fraction: 0.999
    eps: 0.001
  }
}
layer {
  name: "incp4_tb/scale"
  type: "Scale"
  bottom: "incp4_tb"
  top: "incp4_tb"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "incp4_tb/relu"
  type: "ReLU"
  bottom: "incp4_tb"
  top: "incp4_tb"
}

# fc5
layer {
  name: "fc5"
  type: "Convolution"
  bottom: "incp4_tb"
  top: "fc5"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}

layer {
  name: "bn-fc5"
  type: "BatchNorm"
  bottom: "fc5"
  top: "fc5"
}

layer {
  name: "scale-fc5"
  type: "Scale"
  bottom: "fc5"
  top: "fc5"
  scale_param { bias_term: true }
}

layer {
    bottom: "fc5"
    top: "fc5"
    name: "fc5-relu"
    type: "ReLU"
}



# fc4
layer {
  name: "fc4"
  type: "Convolution"
  bottom: "incp3_tb"
  top: "fc4"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}

layer {
  name: "bn-fc4"
  type: "BatchNorm"
  bottom: "fc4"
  top: "fc4"
}

layer {
  name: "scale-fc4"
  type: "Scale"
  bottom: "fc4"
  top: "fc4"
  scale_param { bias_term: true }
}

layer {
  name: "relu-fc4"
  type: "ReLU"
  bottom: "fc4"
  top: "fc4"
}

# fc3
layer {
  name: "fc3"
  type: "Convolution"
  bottom: "incp2_tb"
  top: "fc3"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}

layer {
  name: "bn-fc3"
  type: "BatchNorm"
  bottom: "fc3"
  top: "fc3"
}

layer {
  name: "scale-fc3"
  type: "Scale"
  bottom: "fc3"
  top: "fc3"
  scale_param { bias_term: true }
}

layer {
  name: "relu-fc3"
  type: "ReLU"
  bottom: "fc3"
  top: "fc3"
}

# fc2
layer {
  name: "fc2"
  type: "Convolution"
  bottom: "incp1_tb"
  top: "fc2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}

layer {
  name: "bn-fc2"
  type: "BatchNorm"
  bottom: "fc2"
  top: "fc2"
}

layer {
  name: "scale-fc2"
  type: "Scale"
  bottom: "fc2"
  top: "fc2"
  scale_param { bias_term: true }
}

layer {
  name: "relu-fc2"
  type: "ReLU"
  bottom: "fc2"
  top: "fc2"
}

# deconv6 output = stride * (input - 1) + kernel - 2 * pad;
#layer {
#  name: "deconv6"
#  type: "Deconvolution"
#  bottom: "fc6"
#  top: "deconv6"
#  param {
#    lr_mult: 1
#  }
#  param {
#    lr_mult: 2
#  }
#  convolution_param {
#    num_output: 64
#    kernel_size: 2
#    stride: 2
#    weight_filler { type: "xavier" }
#    bias_filler { type: "constant" }
#  }
#}
## fc56
#layer {
#  name: "fc56"
#  type: "Eltwise"
#  bottom: "fc5"
#  bottom: "deconv6"
#  top: "fc56"
#}
# deconv56
layer {
  name: "deconv56"
  type: "Deconvolution"
  bottom: "fc5"
  top: "deconv56"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 2
    stride: 2
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}
# fc456
layer {
  name: "fc456"
  type: "Eltwise"
  bottom: "fc4"
  bottom: "deconv56"
  top: "fc456"
}
# deconv456
layer {
  name: "deconv456"
  type: "Deconvolution"
  bottom: "fc456"
  top: "deconv456"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 2
    stride: 2
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}
layer {
  name: "fc-score-2_new"
  type: "Convolution"
  bottom: "deconv456"
  top: "fc-score-2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    #dilation: 3
    #pad: 3
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}

layer {
  name: "bn-fc-score-2"
  type: "BatchNorm"
  bottom: "fc-score-2"
  top: "fc-score-2"
}

layer {
  name: "scale-fc-score-2"
  type: "Scale"
  bottom: "fc-score-2"
  top: "fc-score-2"
  scale_param { bias_term: true }
}

layer {
  name: "relu-fc-score-2"
  type: "ReLU"
  bottom: "fc-score-2"
  top: "fc-score-2"
}
# fc3456
layer {
  name: "fc3456"
  type: "Eltwise"
  bottom: "fc3"
  bottom: "deconv456"
  top: "fc3456"
}
# deconv3456
layer {
  name: "deconv3456"
  type: "Deconvolution"
  bottom: "fc3456"
  top: "deconv3456"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 2
    stride: 2
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}

layer {
  name: "fc23456"
  type: "Eltwise"
  bottom: "fc2"
  bottom: "deconv3456"
  top: "fc23456"
}
## deconv23456
#layer {
#  name: "deconv23456"
#  type: "Deconvolution"
#  bottom: "fc23456"
#  top: "deconv23456"
#  param {
#    lr_mult: 1
#  }
#  param {
#    lr_mult: 2
#  }
#  convolution_param {
#    num_output: 64
#    kernel_size: 2
#    stride: 2
#    weight_filler { type: "xavier" }
#    bias_filler { type: "constant" }
#  }
#}
layer {
  name: "fc-score-1_new"
  type: "Convolution"
  bottom: "fc23456"
  top: "fc-score-1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    #dilation: 3
    #pad: 3
    weight_filler { type: "xavier" }
    bias_filler { type: "constant" }
  }
}

layer {
  name: "bn-fc-score-1"
  type: "BatchNorm"
  bottom: "fc-score-1"
  top: "fc-score-1"
}

layer {
  name: "scale-fc-score-1"
  type: "Scale"
  bottom: "fc-score-1"
  top: "fc-score-1"
  scale_param { bias_term: true }
}

layer {
  name: "relu-fc-score-1"
  type: "ReLU"
  bottom: "fc-score-1"
  top: "fc-score-1"
}


######### LOSS ##########
#########detection#########
layer {
  name: "conv-det1"
  type: "Convolution"
  bottom: "fc-score-1"
  top: "conv-det1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 1
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}


########regression#########
layer {
  name: "line-conv-reg1-1"
  type: "Convolution"
  bottom: "fc-score-1"
  top: "conv-reg1-1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "line-relu-conv-reg1-1"
  type: "ReLU"
  bottom: "conv-reg1-1"
  top: "conv-reg1-1"
}

layer {
  name: "line-conv-reg1-2"
  type: "Convolution"
  bottom: "conv-reg1-1"
  top: "conv-reg1-2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "line-relu-conv-reg1-2"
  type: "ReLU"
  bottom: "conv-reg1-2"
  top: "conv-reg1-2"
}

layer {
  name: "line-conv-reg1-3"
  type: "Convolution"
  bottom: "conv-reg1-2"
  top: "conv-reg1-3"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "line-relu-conv-reg1-3"
  type: "ReLU"
  bottom: "conv-reg1-3"
  top: "conv-reg1-3"
}

# 1000x1 + 500x2 + 100x3 + 50x4
# 1000x1 + 100x3
layer {
  name: "conv-reg1-2-x1"
  type: "Convolution"
  bottom: "conv-reg1-3"
  top: "conv-reg1-2-x1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 8
    kernel_size: 1
    stride: 1
    weight_filler {
      # type: "xavier"
      type: "constant"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "reg-x1-01"
  type: "Sigmoid"
  bottom: "conv-reg1-2-x1"
  top: "reg-x1-01"
}

layer {
  name: "reg-x1"
  type: "Power"
  bottom: "reg-x1-01"
  top: "reg-x1"
  power_param {
    scale: 1000
    shift: -500
  }
}

layer {
  name: "conv-reg1-2-x3"
  type: "Convolution"
  bottom: "conv-reg1-3"
  top: "conv-reg1-2-x3"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 8
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "constant"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "reg-x3-01"
  type: "Sigmoid"
  bottom: "conv-reg1-2-x3"
  top: "reg-x3-01"
}

layer {
  name: "reg-x3"
  type: "Power"
  bottom: "reg-x3-01"
  top: "reg-x3"
  power_param {
    scale: 100
    shift: -50
  }
}

layer {
  name: "pred-reg1"
  type: "Eltwise"
  bottom: "reg-x1"
  bottom: "reg-x3"
  top: "pred-reg1"
}

#layer {
#  name: "pred-all"
#  type: "Concat"
#  bottom: "conv-det1"
#  bottom: "pred-reg1"
#  top: "pred-all"
#}
######### LOSS ##########
#########detection#########
layer {
  name: "conv-det2"
  type: "Convolution"
  bottom: "fc-score-2"
  top: "conv-det2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 1
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
########regression#########
layer {
  name: "line-conv-reg2-1"
  type: "Convolution"
  bottom: "fc-score-2"
  top: "conv-reg2-1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "line-relu-conv-reg2-1"
  type: "ReLU"
  bottom: "conv-reg2-1"
  top: "conv-reg2-1"
}

layer {
  name: "line-conv-reg2-2"
  type: "Convolution"
  bottom: "conv-reg2-1"
  top: "conv-reg2-2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "line-relu-conv-reg2-2"
  type: "ReLU"
  bottom: "conv-reg2-2"
  top: "conv-reg2-2"
}

layer {
  name: "line-conv-reg2-3"
  type: "Convolution"
  bottom: "conv-reg2-2"
  top: "conv-reg2-3"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "line-relu-conv-reg2-3"
  type: "ReLU"
  bottom: "conv-reg2-3"
  top: "conv-reg2-3"
}

# 1000x1 + 500x2 + 100x3 + 50x4
# 1000x1 + 100x3
layer {
  name: "conv-reg2-2-x1"
  type: "Convolution"
  bottom: "conv-reg2-3"
  top: "conv-reg2-2-x1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 8
    kernel_size: 1
    stride: 1
    weight_filler {
      # type: "xavier"
      type: "constant"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "reg2-x1-01"
  type: "Sigmoid"
  bottom: "conv-reg2-2-x1"
  top: "reg2-x1-01"
}

layer {
  name: "reg2-x1"
  type: "Power"
  bottom: "reg2-x1-01"
  top: "reg2-x1"
  power_param {
    scale: 1000
    shift: -500
  }
}

layer {
  name: "conv-reg2-2-x3"
  type: "Convolution"
  bottom: "conv-reg2-3"
  top: "conv-reg2-2-x3"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 8
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "constant"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "reg2-x3-01"
  type: "Sigmoid"
  bottom: "conv-reg2-2-x3"
  top: "reg2-x3-01"
}

layer {
  name: "reg2-x3"
  type: "Power"
  bottom: "reg2-x3-01"
  top: "reg2-x3"
  power_param {
    scale: 100
    shift: -50
  }
}

layer {
  name: "pred2-reg1"
  type: "Eltwise"
  bottom: "reg2-x1"
  bottom: "reg2-x3"
  top: "pred2-reg1"
}


#layer {
#  name: "pred2-all"
#  type: "Concat"
#  bottom: "conv-det2"
#  bottom: "pred2-reg1"
#  top: "pred2-all"
#}