shufflenet_v2_x0.5.prototxt

layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 224
      dim: 224
    }
  }
}
layer {
  name: "data/bn"
  type: "BatchNorm"
  bottom: "data"
  top: "data"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "data/bn/scale"
  type: "Scale"
  bottom: "data"
  top: "data"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage1/conv"
  type: "Convolution"
  bottom: "data"
  top: "stage1/conv"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage1/conv/bn"
  type: "BatchNorm"
  bottom: "stage1/conv"
  top: "stage1/conv"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage1/conv/bn/scale"
  type: "Scale"
  bottom: "stage1/conv"
  top: "stage1/conv"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage1/conv/relu"
  type: "ReLU"
  bottom: "stage1/conv"
  top: "stage1/conv"
}
layer {
  name: "stage1/pool"
  type: "Pooling"
  bottom: "stage1/conv"
  top: "stage1/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
    pad: 0
  }
}
layer {
  name: "stage_2_1/conv4"
  type: "Convolution"
  bottom: "stage1/pool"
  top: "stage_2_1/conv4"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 24
    stride: 2
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_1/conv4/bn"
  type: "BatchNorm"
  bottom: "stage_2_1/conv4"
  top: "stage_2_1/conv4"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_1/conv4/bn/scale"
  type: "Scale"
  bottom: "stage_2_1/conv4"
  top: "stage_2_1/conv4"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_1/conv5"
  type: "Convolution"
  bottom: "stage_2_1/conv4"
  top: "stage_2_1/conv5"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_1/conv5/bn"
  type: "BatchNorm"
  bottom: "stage_2_1/conv5"
  top: "stage_2_1/conv5"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_1/conv5/bn/scale"
  type: "Scale"
  bottom: "stage_2_1/conv5"
  top: "stage_2_1/conv5"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_1/conv5/relu"
  type: "ReLU"
  bottom: "stage_2_1/conv5"
  top: "stage_2_1/conv5"
}
layer {
  name: "stage_2_1/conv1"
  type: "Convolution"
  bottom: "stage1/pool"
  top: "stage_2_1/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_1/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_2_1/conv1"
  top: "stage_2_1/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_1/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_2_1/conv1"
  top: "stage_2_1/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_1/conv1/relu"
  type: "ReLU"
  bottom: "stage_2_1/conv1"
  top: "stage_2_1/conv1"
}
layer {
  name: "stage_2_1/conv2"
  type: "Convolution"
  bottom: "stage_2_1/conv1"
  top: "stage_2_1/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 24
    stride: 2
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_1/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_2_1/conv2"
  top: "stage_2_1/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_1/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_2_1/conv2"
  top: "stage_2_1/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_1/conv3"
  type: "Convolution"
  bottom: "stage_2_1/conv2"
  top: "stage_2_1/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_1/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_2_1/conv3"
  top: "stage_2_1/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_1/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_2_1/conv3"
  top: "stage_2_1/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_1/conv3/relu"
  type: "ReLU"
  bottom: "stage_2_1/conv3"
  top: "stage_2_1/conv3"
}
layer {
  name: "stage_2_1/concat"
  type: "Concat"
  bottom: "stage_2_1/conv5"
  bottom: "stage_2_1/conv3"
  top: "stage_2_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_2_1/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_2_1/concat"
  top: "stage_2_1/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_2_2/slice1"
  type: "Slice"
  bottom: "stage_2_1/shuffle"
  top: "stage_2_2/slice1"
  top: "stage_2_2/slice2"
  slice_param {
    slice_point: 24
    axis: 1
  }
}
layer {
  name: "stage_2_2/conv1"
  type: "Convolution"
  bottom: "stage_2_2/slice2"
  top: "stage_2_2/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_2/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_2_2/conv1"
  top: "stage_2_2/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_2/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_2_2/conv1"
  top: "stage_2_2/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_2/conv1/relu"
  type: "ReLU"
  bottom: "stage_2_2/conv1"
  top: "stage_2_2/conv1"
}
layer {
  name: "stage_2_2/conv2"
  type: "Convolution"
  bottom: "stage_2_2/conv1"
  top: "stage_2_2/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 24
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_2/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_2_2/conv2"
  top: "stage_2_2/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_2/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_2_2/conv2"
  top: "stage_2_2/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_2/conv3"
  type: "Convolution"
  bottom: "stage_2_2/conv2"
  top: "stage_2_2/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_2/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_2_2/conv3"
  top: "stage_2_2/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_2/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_2_2/conv3"
  top: "stage_2_2/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_2/conv3/relu"
  type: "ReLU"
  bottom: "stage_2_2/conv3"
  top: "stage_2_2/conv3"
}
layer {
  name: "stage_2_2/concat"
  type: "Concat"
  bottom: "stage_2_2/slice1"
  bottom: "stage_2_2/conv3"
  top: "stage_2_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_2_2/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_2_2/concat"
  top: "stage_2_2/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_2_3/slice1"
  type: "Slice"
  bottom: "stage_2_2/shuffle"
  top: "stage_2_3/slice1"
  top: "stage_2_3/slice2"
  slice_param {
    slice_point: 24
    axis: 1
  }
}
layer {
  name: "stage_2_3/conv1"
  type: "Convolution"
  bottom: "stage_2_3/slice2"
  top: "stage_2_3/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_3/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_2_3/conv1"
  top: "stage_2_3/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_3/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_2_3/conv1"
  top: "stage_2_3/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_3/conv1/relu"
  type: "ReLU"
  bottom: "stage_2_3/conv1"
  top: "stage_2_3/conv1"
}
layer {
  name: "stage_2_3/conv2"
  type: "Convolution"
  bottom: "stage_2_3/conv1"
  top: "stage_2_3/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 24
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_3/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_2_3/conv2"
  top: "stage_2_3/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_3/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_2_3/conv2"
  top: "stage_2_3/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_3/conv3"
  type: "Convolution"
  bottom: "stage_2_3/conv2"
  top: "stage_2_3/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_3/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_2_3/conv3"
  top: "stage_2_3/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_3/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_2_3/conv3"
  top: "stage_2_3/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_3/conv3/relu"
  type: "ReLU"
  bottom: "stage_2_3/conv3"
  top: "stage_2_3/conv3"
}
layer {
  name: "stage_2_3/concat"
  type: "Concat"
  bottom: "stage_2_3/slice1"
  bottom: "stage_2_3/conv3"
  top: "stage_2_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_2_3/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_2_3/concat"
  top: "stage_2_3/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_2_4/slice1"
  type: "Slice"
  bottom: "stage_2_3/shuffle"
  top: "stage_2_4/slice1"
  top: "stage_2_4/slice2"
  slice_param {
    slice_point: 24
    axis: 1
  }
}
layer {
  name: "stage_2_4/conv1"
  type: "Convolution"
  bottom: "stage_2_4/slice2"
  top: "stage_2_4/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_4/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_2_4/conv1"
  top: "stage_2_4/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_4/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_2_4/conv1"
  top: "stage_2_4/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_4/conv1/relu"
  type: "ReLU"
  bottom: "stage_2_4/conv1"
  top: "stage_2_4/conv1"
}
layer {
  name: "stage_2_4/conv2"
  type: "Convolution"
  bottom: "stage_2_4/conv1"
  top: "stage_2_4/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 24
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_4/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_2_4/conv2"
  top: "stage_2_4/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_4/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_2_4/conv2"
  top: "stage_2_4/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_4/conv3"
  type: "Convolution"
  bottom: "stage_2_4/conv2"
  top: "stage_2_4/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_2_4/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_2_4/conv3"
  top: "stage_2_4/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_2_4/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_2_4/conv3"
  top: "stage_2_4/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_2_4/conv3/relu"
  type: "ReLU"
  bottom: "stage_2_4/conv3"
  top: "stage_2_4/conv3"
}
layer {
  name: "stage_2_4/concat"
  type: "Concat"
  bottom: "stage_2_4/slice1"
  bottom: "stage_2_4/conv3"
  top: "stage_2_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_2_4/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_2_4/concat"
  top: "stage_2_4/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_1/conv4"
  type: "Convolution"
  bottom: "stage_2_4/shuffle"
  top: "stage_3_1/conv4"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 2
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_1/conv4/bn"
  type: "BatchNorm"
  bottom: "stage_3_1/conv4"
  top: "stage_3_1/conv4"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_1/conv4/bn/scale"
  type: "Scale"
  bottom: "stage_3_1/conv4"
  top: "stage_3_1/conv4"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_1/conv5"
  type: "Convolution"
  bottom: "stage_3_1/conv4"
  top: "stage_3_1/conv5"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_1/conv5/bn"
  type: "BatchNorm"
  bottom: "stage_3_1/conv5"
  top: "stage_3_1/conv5"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_1/conv5/bn/scale"
  type: "Scale"
  bottom: "stage_3_1/conv5"
  top: "stage_3_1/conv5"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_1/conv5/relu"
  type: "ReLU"
  bottom: "stage_3_1/conv5"
  top: "stage_3_1/conv5"
}
layer {
  name: "stage_3_1/conv1"
  type: "Convolution"
  bottom: "stage_2_4/shuffle"
  top: "stage_3_1/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_1/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_1/conv1"
  top: "stage_3_1/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_1/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_1/conv1"
  top: "stage_3_1/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_1/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_1/conv1"
  top: "stage_3_1/conv1"
}
layer {
  name: "stage_3_1/conv2"
  type: "Convolution"
  bottom: "stage_3_1/conv1"
  top: "stage_3_1/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 2
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_1/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_1/conv2"
  top: "stage_3_1/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_1/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_1/conv2"
  top: "stage_3_1/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_1/conv3"
  type: "Convolution"
  bottom: "stage_3_1/conv2"
  top: "stage_3_1/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_1/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_1/conv3"
  top: "stage_3_1/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_1/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_1/conv3"
  top: "stage_3_1/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_1/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_1/conv3"
  top: "stage_3_1/conv3"
}
layer {
  name: "stage_3_1/concat"
  type: "Concat"
  bottom: "stage_3_1/conv5"
  bottom: "stage_3_1/conv3"
  top: "stage_3_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_1/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_1/concat"
  top: "stage_3_1/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_2/slice1"
  type: "Slice"
  bottom: "stage_3_1/shuffle"
  top: "stage_3_2/slice1"
  top: "stage_3_2/slice2"
  slice_param {
    slice_point: 48
    axis: 1
  }
}
layer {
  name: "stage_3_2/conv1"
  type: "Convolution"
  bottom: "stage_3_2/slice2"
  top: "stage_3_2/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_2/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_2/conv1"
  top: "stage_3_2/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_2/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_2/conv1"
  top: "stage_3_2/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_2/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_2/conv1"
  top: "stage_3_2/conv1"
}
layer {
  name: "stage_3_2/conv2"
  type: "Convolution"
  bottom: "stage_3_2/conv1"
  top: "stage_3_2/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_2/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_2/conv2"
  top: "stage_3_2/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_2/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_2/conv2"
  top: "stage_3_2/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_2/conv3"
  type: "Convolution"
  bottom: "stage_3_2/conv2"
  top: "stage_3_2/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_2/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_2/conv3"
  top: "stage_3_2/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_2/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_2/conv3"
  top: "stage_3_2/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_2/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_2/conv3"
  top: "stage_3_2/conv3"
}
layer {
  name: "stage_3_2/concat"
  type: "Concat"
  bottom: "stage_3_2/slice1"
  bottom: "stage_3_2/conv3"
  top: "stage_3_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_2/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_2/concat"
  top: "stage_3_2/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_3/slice1"
  type: "Slice"
  bottom: "stage_3_2/shuffle"
  top: "stage_3_3/slice1"
  top: "stage_3_3/slice2"
  slice_param {
    slice_point: 48
    axis: 1
  }
}
layer {
  name: "stage_3_3/conv1"
  type: "Convolution"
  bottom: "stage_3_3/slice2"
  top: "stage_3_3/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_3/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_3/conv1"
  top: "stage_3_3/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_3/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_3/conv1"
  top: "stage_3_3/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_3/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_3/conv1"
  top: "stage_3_3/conv1"
}
layer {
  name: "stage_3_3/conv2"
  type: "Convolution"
  bottom: "stage_3_3/conv1"
  top: "stage_3_3/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_3/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_3/conv2"
  top: "stage_3_3/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_3/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_3/conv2"
  top: "stage_3_3/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_3/conv3"
  type: "Convolution"
  bottom: "stage_3_3/conv2"
  top: "stage_3_3/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_3/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_3/conv3"
  top: "stage_3_3/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_3/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_3/conv3"
  top: "stage_3_3/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_3/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_3/conv3"
  top: "stage_3_3/conv3"
}
layer {
  name: "stage_3_3/concat"
  type: "Concat"
  bottom: "stage_3_3/slice1"
  bottom: "stage_3_3/conv3"
  top: "stage_3_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_3/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_3/concat"
  top: "stage_3_3/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_4/slice1"
  type: "Slice"
  bottom: "stage_3_3/shuffle"
  top: "stage_3_4/slice1"
  top: "stage_3_4/slice2"
  slice_param {
    slice_point: 48
    axis: 1
  }
}
layer {
  name: "stage_3_4/conv1"
  type: "Convolution"
  bottom: "stage_3_4/slice2"
  top: "stage_3_4/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_4/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_4/conv1"
  top: "stage_3_4/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_4/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_4/conv1"
  top: "stage_3_4/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_4/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_4/conv1"
  top: "stage_3_4/conv1"
}
layer {
  name: "stage_3_4/conv2"
  type: "Convolution"
  bottom: "stage_3_4/conv1"
  top: "stage_3_4/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_4/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_4/conv2"
  top: "stage_3_4/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_4/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_4/conv2"
  top: "stage_3_4/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_4/conv3"
  type: "Convolution"
  bottom: "stage_3_4/conv2"
  top: "stage_3_4/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_4/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_4/conv3"
  top: "stage_3_4/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_4/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_4/conv3"
  top: "stage_3_4/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_4/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_4/conv3"
  top: "stage_3_4/conv3"
}
layer {
  name: "stage_3_4/concat"
  type: "Concat"
  bottom: "stage_3_4/slice1"
  bottom: "stage_3_4/conv3"
  top: "stage_3_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_4/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_4/concat"
  top: "stage_3_4/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_5/slice1"
  type: "Slice"
  bottom: "stage_3_4/shuffle"
  top: "stage_3_5/slice1"
  top: "stage_3_5/slice2"
  slice_param {
    slice_point: 48
    axis: 1
  }
}
layer {
  name: "stage_3_5/conv1"
  type: "Convolution"
  bottom: "stage_3_5/slice2"
  top: "stage_3_5/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_5/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_5/conv1"
  top: "stage_3_5/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_5/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_5/conv1"
  top: "stage_3_5/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_5/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_5/conv1"
  top: "stage_3_5/conv1"
}
layer {
  name: "stage_3_5/conv2"
  type: "Convolution"
  bottom: "stage_3_5/conv1"
  top: "stage_3_5/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_5/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_5/conv2"
  top: "stage_3_5/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_5/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_5/conv2"
  top: "stage_3_5/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_5/conv3"
  type: "Convolution"
  bottom: "stage_3_5/conv2"
  top: "stage_3_5/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_5/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_5/conv3"
  top: "stage_3_5/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_5/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_5/conv3"
  top: "stage_3_5/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_5/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_5/conv3"
  top: "stage_3_5/conv3"
}
layer {
  name: "stage_3_5/concat"
  type: "Concat"
  bottom: "stage_3_5/slice1"
  bottom: "stage_3_5/conv3"
  top: "stage_3_5/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_5/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_5/concat"
  top: "stage_3_5/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_6/slice1"
  type: "Slice"
  bottom: "stage_3_5/shuffle"
  top: "stage_3_6/slice1"
  top: "stage_3_6/slice2"
  slice_param {
    slice_point: 48
    axis: 1
  }
}
layer {
  name: "stage_3_6/conv1"
  type: "Convolution"
  bottom: "stage_3_6/slice2"
  top: "stage_3_6/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_6/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_6/conv1"
  top: "stage_3_6/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_6/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_6/conv1"
  top: "stage_3_6/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_6/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_6/conv1"
  top: "stage_3_6/conv1"
}
layer {
  name: "stage_3_6/conv2"
  type: "Convolution"
  bottom: "stage_3_6/conv1"
  top: "stage_3_6/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_6/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_6/conv2"
  top: "stage_3_6/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_6/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_6/conv2"
  top: "stage_3_6/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_6/conv3"
  type: "Convolution"
  bottom: "stage_3_6/conv2"
  top: "stage_3_6/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_6/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_6/conv3"
  top: "stage_3_6/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_6/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_6/conv3"
  top: "stage_3_6/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_6/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_6/conv3"
  top: "stage_3_6/conv3"
}
layer {
  name: "stage_3_6/concat"
  type: "Concat"
  bottom: "stage_3_6/slice1"
  bottom: "stage_3_6/conv3"
  top: "stage_3_6/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_6/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_6/concat"
  top: "stage_3_6/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_7/slice1"
  type: "Slice"
  bottom: "stage_3_6/shuffle"
  top: "stage_3_7/slice1"
  top: "stage_3_7/slice2"
  slice_param {
    slice_point: 48
    axis: 1
  }
}
layer {
  name: "stage_3_7/conv1"
  type: "Convolution"
  bottom: "stage_3_7/slice2"
  top: "stage_3_7/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_7/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_7/conv1"
  top: "stage_3_7/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_7/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_7/conv1"
  top: "stage_3_7/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_7/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_7/conv1"
  top: "stage_3_7/conv1"
}
layer {
  name: "stage_3_7/conv2"
  type: "Convolution"
  bottom: "stage_3_7/conv1"
  top: "stage_3_7/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_7/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_7/conv2"
  top: "stage_3_7/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_7/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_7/conv2"
  top: "stage_3_7/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_7/conv3"
  type: "Convolution"
  bottom: "stage_3_7/conv2"
  top: "stage_3_7/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_7/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_7/conv3"
  top: "stage_3_7/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_7/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_7/conv3"
  top: "stage_3_7/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_7/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_7/conv3"
  top: "stage_3_7/conv3"
}
layer {
  name: "stage_3_7/concat"
  type: "Concat"
  bottom: "stage_3_7/slice1"
  bottom: "stage_3_7/conv3"
  top: "stage_3_7/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_7/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_7/concat"
  top: "stage_3_7/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_3_8/slice1"
  type: "Slice"
  bottom: "stage_3_7/shuffle"
  top: "stage_3_8/slice1"
  top: "stage_3_8/slice2"
  slice_param {
    slice_point: 48
    axis: 1
  }
}
layer {
  name: "stage_3_8/conv1"
  type: "Convolution"
  bottom: "stage_3_8/slice2"
  top: "stage_3_8/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_8/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_3_8/conv1"
  top: "stage_3_8/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_8/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_3_8/conv1"
  top: "stage_3_8/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_8/conv1/relu"
  type: "ReLU"
  bottom: "stage_3_8/conv1"
  top: "stage_3_8/conv1"
}
layer {
  name: "stage_3_8/conv2"
  type: "Convolution"
  bottom: "stage_3_8/conv1"
  top: "stage_3_8/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_8/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_3_8/conv2"
  top: "stage_3_8/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_8/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_3_8/conv2"
  top: "stage_3_8/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_8/conv3"
  type: "Convolution"
  bottom: "stage_3_8/conv2"
  top: "stage_3_8/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_3_8/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_3_8/conv3"
  top: "stage_3_8/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_3_8/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_3_8/conv3"
  top: "stage_3_8/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_3_8/conv3/relu"
  type: "ReLU"
  bottom: "stage_3_8/conv3"
  top: "stage_3_8/conv3"
}
layer {
  name: "stage_3_8/concat"
  type: "Concat"
  bottom: "stage_3_8/slice1"
  bottom: "stage_3_8/conv3"
  top: "stage_3_8/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_3_8/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_3_8/concat"
  top: "stage_3_8/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_4_1/conv4"
  type: "Convolution"
  bottom: "stage_3_8/shuffle"
  top: "stage_4_1/conv4"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 96
    stride: 2
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_1/conv4/bn"
  type: "BatchNorm"
  bottom: "stage_4_1/conv4"
  top: "stage_4_1/conv4"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_1/conv4/bn/scale"
  type: "Scale"
  bottom: "stage_4_1/conv4"
  top: "stage_4_1/conv4"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_1/conv5"
  type: "Convolution"
  bottom: "stage_4_1/conv4"
  top: "stage_4_1/conv5"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_1/conv5/bn"
  type: "BatchNorm"
  bottom: "stage_4_1/conv5"
  top: "stage_4_1/conv5"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_1/conv5/bn/scale"
  type: "Scale"
  bottom: "stage_4_1/conv5"
  top: "stage_4_1/conv5"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_1/conv5/relu"
  type: "ReLU"
  bottom: "stage_4_1/conv5"
  top: "stage_4_1/conv5"
}
layer {
  name: "stage_4_1/conv1"
  type: "Convolution"
  bottom: "stage_3_8/shuffle"
  top: "stage_4_1/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_1/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_4_1/conv1"
  top: "stage_4_1/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_1/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_4_1/conv1"
  top: "stage_4_1/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_1/conv1/relu"
  type: "ReLU"
  bottom: "stage_4_1/conv1"
  top: "stage_4_1/conv1"
}
layer {
  name: "stage_4_1/conv2"
  type: "Convolution"
  bottom: "stage_4_1/conv1"
  top: "stage_4_1/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 96
    stride: 2
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_1/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_4_1/conv2"
  top: "stage_4_1/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_1/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_4_1/conv2"
  top: "stage_4_1/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_1/conv3"
  type: "Convolution"
  bottom: "stage_4_1/conv2"
  top: "stage_4_1/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_1/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_4_1/conv3"
  top: "stage_4_1/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_1/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_4_1/conv3"
  top: "stage_4_1/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_1/conv3/relu"
  type: "ReLU"
  bottom: "stage_4_1/conv3"
  top: "stage_4_1/conv3"
}
layer {
  name: "stage_4_1/concat"
  type: "Concat"
  bottom: "stage_4_1/conv5"
  bottom: "stage_4_1/conv3"
  top: "stage_4_1/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_4_1/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_4_1/concat"
  top: "stage_4_1/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_4_2/slice1"
  type: "Slice"
  bottom: "stage_4_1/shuffle"
  top: "stage_4_2/slice1"
  top: "stage_4_2/slice2"
  slice_param {
    slice_point: 96
    axis: 1
  }
}
layer {
  name: "stage_4_2/conv1"
  type: "Convolution"
  bottom: "stage_4_2/slice2"
  top: "stage_4_2/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_2/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_4_2/conv1"
  top: "stage_4_2/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_2/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_4_2/conv1"
  top: "stage_4_2/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_2/conv1/relu"
  type: "ReLU"
  bottom: "stage_4_2/conv1"
  top: "stage_4_2/conv1"
}
layer {
  name: "stage_4_2/conv2"
  type: "Convolution"
  bottom: "stage_4_2/conv1"
  top: "stage_4_2/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 96
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_2/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_4_2/conv2"
  top: "stage_4_2/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_2/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_4_2/conv2"
  top: "stage_4_2/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_2/conv3"
  type: "Convolution"
  bottom: "stage_4_2/conv2"
  top: "stage_4_2/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_2/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_4_2/conv3"
  top: "stage_4_2/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_2/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_4_2/conv3"
  top: "stage_4_2/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_2/conv3/relu"
  type: "ReLU"
  bottom: "stage_4_2/conv3"
  top: "stage_4_2/conv3"
}
layer {
  name: "stage_4_2/concat"
  type: "Concat"
  bottom: "stage_4_2/slice1"
  bottom: "stage_4_2/conv3"
  top: "stage_4_2/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_4_2/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_4_2/concat"
  top: "stage_4_2/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_4_3/slice1"
  type: "Slice"
  bottom: "stage_4_2/shuffle"
  top: "stage_4_3/slice1"
  top: "stage_4_3/slice2"
  slice_param {
    slice_point: 96
    axis: 1
  }
}
layer {
  name: "stage_4_3/conv1"
  type: "Convolution"
  bottom: "stage_4_3/slice2"
  top: "stage_4_3/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_3/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_4_3/conv1"
  top: "stage_4_3/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_3/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_4_3/conv1"
  top: "stage_4_3/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_3/conv1/relu"
  type: "ReLU"
  bottom: "stage_4_3/conv1"
  top: "stage_4_3/conv1"
}
layer {
  name: "stage_4_3/conv2"
  type: "Convolution"
  bottom: "stage_4_3/conv1"
  top: "stage_4_3/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 96
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_3/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_4_3/conv2"
  top: "stage_4_3/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_3/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_4_3/conv2"
  top: "stage_4_3/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_3/conv3"
  type: "Convolution"
  bottom: "stage_4_3/conv2"
  top: "stage_4_3/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_3/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_4_3/conv3"
  top: "stage_4_3/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_3/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_4_3/conv3"
  top: "stage_4_3/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_3/conv3/relu"
  type: "ReLU"
  bottom: "stage_4_3/conv3"
  top: "stage_4_3/conv3"
}
layer {
  name: "stage_4_3/concat"
  type: "Concat"
  bottom: "stage_4_3/slice1"
  bottom: "stage_4_3/conv3"
  top: "stage_4_3/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_4_3/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_4_3/concat"
  top: "stage_4_3/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "stage_4_4/slice1"
  type: "Slice"
  bottom: "stage_4_3/shuffle"
  top: "stage_4_4/slice1"
  top: "stage_4_4/slice2"
  slice_param {
    slice_point: 96
    axis: 1
  }
}
layer {
  name: "stage_4_4/conv1"
  type: "Convolution"
  bottom: "stage_4_4/slice2"
  top: "stage_4_4/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_4/conv1/bn"
  type: "BatchNorm"
  bottom: "stage_4_4/conv1"
  top: "stage_4_4/conv1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_4/conv1/bn/scale"
  type: "Scale"
  bottom: "stage_4_4/conv1"
  top: "stage_4_4/conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_4/conv1/relu"
  type: "ReLU"
  bottom: "stage_4_4/conv1"
  top: "stage_4_4/conv1"
}
layer {
  name: "stage_4_4/conv2"
  type: "Convolution"
  bottom: "stage_4_4/conv1"
  top: "stage_4_4/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 96
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_4/conv2/bn"
  type: "BatchNorm"
  bottom: "stage_4_4/conv2"
  top: "stage_4_4/conv2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_4/conv2/bn/scale"
  type: "Scale"
  bottom: "stage_4_4/conv2"
  top: "stage_4_4/conv2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_4/conv3"
  type: "Convolution"
  bottom: "stage_4_4/conv2"
  top: "stage_4_4/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "stage_4_4/conv3/bn"
  type: "BatchNorm"
  bottom: "stage_4_4/conv3"
  top: "stage_4_4/conv3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "stage_4_4/conv3/bn/scale"
  type: "Scale"
  bottom: "stage_4_4/conv3"
  top: "stage_4_4/conv3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "stage_4_4/conv3/relu"
  type: "ReLU"
  bottom: "stage_4_4/conv3"
  top: "stage_4_4/conv3"
}
layer {
  name: "stage_4_4/concat"
  type: "Concat"
  bottom: "stage_4_4/slice1"
  bottom: "stage_4_4/conv3"
  top: "stage_4_4/concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "stage_4_4/shuffle"
  type: "ShuffleChannel"
  bottom: "stage_4_4/concat"
  top: "stage_4_4/shuffle"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "stage_4_4/shuffle"
  top: "conv5"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}
layer {
  name: "conv5/bn"
  type: "BatchNorm"
  bottom: "conv5"
  top: "conv5"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "conv5/bn/scale"
  type: "Scale"
  bottom: "conv5"
  top: "conv5"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      type: "constant"
      value: 1.0
    }
    bias_term: true
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "conv5/relu"
  type: "ReLU"
  bottom: "conv5"
  top: "conv5"
}
layer {
  name: "pool"
  type: "Pooling"
  bottom: "conv5"
  top: "pool"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
    pad: 0
  }
}
layer {
  name: "fc"
  type: "Convolution"
  bottom: "pool"
  top: "fc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 1000
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    dilation: 1
  }
}