shufflenet_v2_1x_deploy.prototxt

name: "shufflenet_v2"
input: "data"
input_shape { 
  dim: 1
  dim: 3
  dim: 224
  dim: 224
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 2
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv1_bn"
  type: "BatchNorm"
  bottom: "conv1"
  top: "conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "conv1_scale"
  bottom: "conv1"
  top: "conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv1_relu"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "branch1_1_conv1"
  type: "ConvolutionDepthwise"
  bottom: "pool1"
  top: "branch1_1_conv1"
  convolution_param {
    num_output: 24
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch1_1_conv1_bn"
  type: "BatchNorm"
  bottom: "branch1_1_conv1"
  top: "branch1_1_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch1_1_conv1_scale"
  bottom: "branch1_1_conv1"
  top: "branch1_1_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch1_1_conv2"
  type: "Convolution"
  bottom: "branch1_1_conv1"
  top: "branch1_1_conv2"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch1_1_conv2_bn"
  type: "BatchNorm"
  bottom: "branch1_1_conv2"
  top: "branch1_1_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch1_1_conv2_scale"
  bottom: "branch1_1_conv2"
  top: "branch1_1_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch1_1_conv2_relu"
  type: "ReLU"
  bottom: "branch1_1_conv2"
  top: "branch1_1_conv2"
}
layer {
  name: "branch1_2_conv1"
  type: "Convolution"
  bottom: "pool1"
  top: "branch1_2_conv1"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch1_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch1_2_conv1"
  top: "branch1_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch1_2_conv1_scale"
  bottom: "branch1_2_conv1"
  top: "branch1_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch1_2_conv1_relu"
  type: "ReLU"
  bottom: "branch1_2_conv1"
  top: "branch1_2_conv1"
}
layer {
  name: "branch1_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch1_2_conv1"
  top: "branch1_2_conv2"
  convolution_param {
    num_output: 58
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch1_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch1_2_conv2"
  top: "branch1_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch1_2_conv2_scale"
  bottom: "branch1_2_conv2"
  top: "branch1_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch1_2_conv3"
  type: "Convolution"
  bottom: "branch1_2_conv2"
  top: "branch1_2_conv3"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch1_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch1_2_conv3"
  top: "branch1_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch1_2_conv3_scale"
  bottom: "branch1_2_conv3"
  top: "branch1_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch1_2_conv3_relu"
  type: "ReLU"
  bottom: "branch1_2_conv3"
  top: "branch1_2_conv3"
}
layer {
  name: "concat1"
  type: "Concat"
  bottom: "branch1_1_conv2"
  bottom: "branch1_2_conv3"
  top: "concat1"
}
layer {
  name: "shuffle1"
  type: "ShuffleChannel"
  bottom: "concat1"
  top: "shuffle1"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice2"
  type: "Slice"
  bottom: "shuffle1"
  top: "branch2_1"
  top: "branch2_2"
  slice_param {
    slice_point: 58
    axis: 1
  }
}
layer {
  name: "branch2_2_conv1"
  type: "Convolution"
  bottom: "branch2_2"
  top: "branch2_2_conv1"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch2_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch2_2_conv1"
  top: "branch2_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch2_2_conv1_scale"
  bottom: "branch2_2_conv1"
  top: "branch2_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch2_2_conv1_relu"
  type: "ReLU"
  bottom: "branch2_2_conv1"
  top: "branch2_2_conv1"
}
layer {
  name: "branch2_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch2_2_conv1"
  top: "branch2_2_conv2"
  convolution_param {
    num_output: 58
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch2_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch2_2_conv2"
  top: "branch2_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch2_2_conv2_scale"
  bottom: "branch2_2_conv2"
  top: "branch2_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch2_2_conv3"
  type: "Convolution"
  bottom: "branch2_2_conv2"
  top: "branch2_2_conv3"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch2_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch2_2_conv3"
  top: "branch2_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch2_2_conv3_scale"
  bottom: "branch2_2_conv3"
  top: "branch2_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch2_2_conv3_relu"
  type: "ReLU"
  bottom: "branch2_2_conv3"
  top: "branch2_2_conv3"
}
layer {
  name: "concat2"
  type: "Concat"
  bottom: "branch2_1"
  bottom: "branch2_2_conv3"
  top: "concat2"
}
layer {
  name: "shuffle2"
  type: "ShuffleChannel"
  bottom: "concat2"
  top: "shuffle2"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice3"
  type: "Slice"
  bottom: "shuffle2"
  top: "branch3_1"
  top: "branch3_2"
  slice_param {
    slice_point: 58
    axis: 1
  }
}
layer {
  name: "branch3_2_conv1"
  type: "Convolution"
  bottom: "branch3_2"
  top: "branch3_2_conv1"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch3_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch3_2_conv1"
  top: "branch3_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch3_2_conv1_scale"
  bottom: "branch3_2_conv1"
  top: "branch3_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch3_2_conv1_relu"
  type: "ReLU"
  bottom: "branch3_2_conv1"
  top: "branch3_2_conv1"
}
layer {
  name: "branch3_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch3_2_conv1"
  top: "branch3_2_conv2"
  convolution_param {
    num_output: 58
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch3_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch3_2_conv2"
  top: "branch3_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch3_2_conv2_scale"
  bottom: "branch3_2_conv2"
  top: "branch3_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch3_2_conv3"
  type: "Convolution"
  bottom: "branch3_2_conv2"
  top: "branch3_2_conv3"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch3_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch3_2_conv3"
  top: "branch3_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch3_2_conv3_scale"
  bottom: "branch3_2_conv3"
  top: "branch3_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch3_2_conv3_relu"
  type: "ReLU"
  bottom: "branch3_2_conv3"
  top: "branch3_2_conv3"
}
layer {
  name: "concat3"
  type: "Concat"
  bottom: "branch3_1"
  bottom: "branch3_2_conv3"
  top: "concat3"
}
layer {
  name: "shuffle3"
  type: "ShuffleChannel"
  bottom: "concat3"
  top: "shuffle3"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice4"
  type: "Slice"
  bottom: "shuffle3"
  top: "branch4_1"
  top: "branch4_2"
  slice_param {
    slice_point: 58
    axis: 1
  }
}
layer {
  name: "branch4_2_conv1"
  type: "Convolution"
  bottom: "branch4_2"
  top: "branch4_2_conv1"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch4_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch4_2_conv1"
  top: "branch4_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch4_2_conv1_scale"
  bottom: "branch4_2_conv1"
  top: "branch4_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch4_2_conv1_relu"
  type: "ReLU"
  bottom: "branch4_2_conv1"
  top: "branch4_2_conv1"
}
layer {
  name: "branch4_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch4_2_conv1"
  top: "branch4_2_conv2"
  convolution_param {
    num_output: 58
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch4_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch4_2_conv2"
  top: "branch4_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch4_2_conv2_scale"
  bottom: "branch4_2_conv2"
  top: "branch4_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch4_2_conv3"
  type: "Convolution"
  bottom: "branch4_2_conv2"
  top: "branch4_2_conv3"
  convolution_param {
    num_output: 58
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch4_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch4_2_conv3"
  top: "branch4_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch4_2_conv3_scale"
  bottom: "branch4_2_conv3"
  top: "branch4_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch4_2_conv3_relu"
  type: "ReLU"
  bottom: "branch4_2_conv3"
  top: "branch4_2_conv3"
}
layer {
  name: "concat4"
  type: "Concat"
  bottom: "branch4_1"
  bottom: "branch4_2_conv3"
  top: "concat4"
}
layer {
  name: "shuffle4"
  type: "ShuffleChannel"
  bottom: "concat4"
  top: "shuffle4"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "branch5_1_conv1"
  type: "ConvolutionDepthwise"
  bottom: "shuffle4"
  top: "branch5_1_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch5_1_conv1_bn"
  type: "BatchNorm"
  bottom: "branch5_1_conv1"
  top: "branch5_1_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch5_1_conv1_scale"
  bottom: "branch5_1_conv1"
  top: "branch5_1_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch5_1_conv2"
  type: "Convolution"
  bottom: "branch5_1_conv1"
  top: "branch5_1_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch5_1_conv2_bn"
  type: "BatchNorm"
  bottom: "branch5_1_conv2"
  top: "branch5_1_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch5_1_conv2_scale"
  bottom: "branch5_1_conv2"
  top: "branch5_1_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch5_1_conv2_relu"
  type: "ReLU"
  bottom: "branch5_1_conv2"
  top: "branch5_1_conv2"
}
layer {
  name: "branch5_2_conv1"
  type: "Convolution"
  bottom: "shuffle4"
  top: "branch5_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch5_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch5_2_conv1"
  top: "branch5_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch5_2_conv1_scale"
  bottom: "branch5_2_conv1"
  top: "branch5_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch5_2_conv1_relu"
  type: "ReLU"
  bottom: "branch5_2_conv1"
  top: "branch5_2_conv1"
}
layer {
  name: "branch5_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch5_2_conv1"
  top: "branch5_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch5_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch5_2_conv2"
  top: "branch5_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch5_2_conv2_scale"
  bottom: "branch5_2_conv2"
  top: "branch5_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch5_2_conv3"
  type: "Convolution"
  bottom: "branch5_2_conv2"
  top: "branch5_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch5_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch5_2_conv3"
  top: "branch5_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch5_2_conv3_scale"
  bottom: "branch5_2_conv3"
  top: "branch5_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch5_2_conv3_relu"
  type: "ReLU"
  bottom: "branch5_2_conv3"
  top: "branch5_2_conv3"
}
layer {
  name: "concat5"
  type: "Concat"
  bottom: "branch5_1_conv2"
  bottom: "branch5_2_conv3"
  top: "concat5"
}
layer {
  name: "shuffle5"
  type: "ShuffleChannel"
  bottom: "concat5"
  top: "shuffle5"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice6"
  type: "Slice"
  bottom: "shuffle5"
  top: "branch6_1"
  top: "branch6_2"
  slice_param {
    slice_point: 116
    axis: 1
  }
}
layer {
  name: "branch6_2_conv1"
  type: "Convolution"
  bottom: "branch6_2"
  top: "branch6_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch6_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch6_2_conv1"
  top: "branch6_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch6_2_conv1_scale"
  bottom: "branch6_2_conv1"
  top: "branch6_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch6_2_conv1_relu"
  type: "ReLU"
  bottom: "branch6_2_conv1"
  top: "branch6_2_conv1"
}
layer {
  name: "branch6_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch6_2_conv1"
  top: "branch6_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch6_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch6_2_conv2"
  top: "branch6_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch6_2_conv2_scale"
  bottom: "branch6_2_conv2"
  top: "branch6_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch6_2_conv3"
  type: "Convolution"
  bottom: "branch6_2_conv2"
  top: "branch6_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch6_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch6_2_conv3"
  top: "branch6_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch6_2_conv3_scale"
  bottom: "branch6_2_conv3"
  top: "branch6_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch6_2_conv3_relu"
  type: "ReLU"
  bottom: "branch6_2_conv3"
  top: "branch6_2_conv3"
}
layer {
  name: "concat6"
  type: "Concat"
  bottom: "branch6_1"
  bottom: "branch6_2_conv3"
  top: "concat6"
}
layer {
  name: "shuffle6"
  type: "ShuffleChannel"
  bottom: "concat6"
  top: "shuffle6"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice7"
  type: "Slice"
  bottom: "shuffle6"
  top: "branch7_1"
  top: "branch7_2"
  slice_param {
    slice_point: 116
    axis: 1
  }
}
layer {
  name: "branch7_2_conv1"
  type: "Convolution"
  bottom: "branch7_2"
  top: "branch7_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch7_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch7_2_conv1"
  top: "branch7_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch7_2_conv1_scale"
  bottom: "branch7_2_conv1"
  top: "branch7_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch7_2_conv1_relu"
  type: "ReLU"
  bottom: "branch7_2_conv1"
  top: "branch7_2_conv1"
}
layer {
  name: "branch7_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch7_2_conv1"
  top: "branch7_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch7_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch7_2_conv2"
  top: "branch7_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch7_2_conv2_scale"
  bottom: "branch7_2_conv2"
  top: "branch7_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch7_2_conv3"
  type: "Convolution"
  bottom: "branch7_2_conv2"
  top: "branch7_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch7_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch7_2_conv3"
  top: "branch7_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch7_2_conv3_scale"
  bottom: "branch7_2_conv3"
  top: "branch7_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch7_2_conv3_relu"
  type: "ReLU"
  bottom: "branch7_2_conv3"
  top: "branch7_2_conv3"
}
layer {
  name: "concat7"
  type: "Concat"
  bottom: "branch7_1"
  bottom: "branch7_2_conv3"
  top: "concat7"
}
layer {
  name: "shuffle7"
  type: "ShuffleChannel"
  bottom: "concat7"
  top: "shuffle7"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice8"
  type: "Slice"
  bottom: "shuffle7"
  top: "branch8_1"
  top: "branch8_2"
  slice_param {
    slice_point: 116
    axis: 1
  }
}
layer {
  name: "branch8_2_conv1"
  type: "Convolution"
  bottom: "branch8_2"
  top: "branch8_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch8_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch8_2_conv1"
  top: "branch8_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch8_2_conv1_scale"
  bottom: "branch8_2_conv1"
  top: "branch8_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch8_2_conv1_relu"
  type: "ReLU"
  bottom: "branch8_2_conv1"
  top: "branch8_2_conv1"
}
layer {
  name: "branch8_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch8_2_conv1"
  top: "branch8_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch8_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch8_2_conv2"
  top: "branch8_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch8_2_conv2_scale"
  bottom: "branch8_2_conv2"
  top: "branch8_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch8_2_conv3"
  type: "Convolution"
  bottom: "branch8_2_conv2"
  top: "branch8_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch8_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch8_2_conv3"
  top: "branch8_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch8_2_conv3_scale"
  bottom: "branch8_2_conv3"
  top: "branch8_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch8_2_conv3_relu"
  type: "ReLU"
  bottom: "branch8_2_conv3"
  top: "branch8_2_conv3"
}
layer {
  name: "concat8"
  type: "Concat"
  bottom: "branch8_1"
  bottom: "branch8_2_conv3"
  top: "concat8"
}
layer {
  name: "shuffle8"
  type: "ShuffleChannel"
  bottom: "concat8"
  top: "shuffle8"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice9"
  type: "Slice"
  bottom: "shuffle8"
  top: "branch9_1"
  top: "branch9_2"
  slice_param {
    slice_point: 116
    axis: 1
  }
}
layer {
  name: "branch9_2_conv1"
  type: "Convolution"
  bottom: "branch9_2"
  top: "branch9_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch9_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch9_2_conv1"
  top: "branch9_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch9_2_conv1_scale"
  bottom: "branch9_2_conv1"
  top: "branch9_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch9_2_conv1_relu"
  type: "ReLU"
  bottom: "branch9_2_conv1"
  top: "branch9_2_conv1"
}
layer {
  name: "branch9_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch9_2_conv1"
  top: "branch9_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch9_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch9_2_conv2"
  top: "branch9_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch9_2_conv2_scale"
  bottom: "branch9_2_conv2"
  top: "branch9_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch9_2_conv3"
  type: "Convolution"
  bottom: "branch9_2_conv2"
  top: "branch9_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch9_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch9_2_conv3"
  top: "branch9_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch9_2_conv3_scale"
  bottom: "branch9_2_conv3"
  top: "branch9_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch9_2_conv3_relu"
  type: "ReLU"
  bottom: "branch9_2_conv3"
  top: "branch9_2_conv3"
}
layer {
  name: "concat9"
  type: "Concat"
  bottom: "branch9_1"
  bottom: "branch9_2_conv3"
  top: "concat9"
}
layer {
  name: "shuffle9"
  type: "ShuffleChannel"
  bottom: "concat9"
  top: "shuffle9"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice10"
  type: "Slice"
  bottom: "shuffle9"
  top: "branch10_1"
  top: "branch10_2"
  slice_param {
    slice_point: 116
    axis: 1
  }
}
layer {
  name: "branch10_2_conv1"
  type: "Convolution"
  bottom: "branch10_2"
  top: "branch10_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch10_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch10_2_conv1"
  top: "branch10_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch10_2_conv1_scale"
  bottom: "branch10_2_conv1"
  top: "branch10_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch10_2_conv1_relu"
  type: "ReLU"
  bottom: "branch10_2_conv1"
  top: "branch10_2_conv1"
}
layer {
  name: "branch10_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch10_2_conv1"
  top: "branch10_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch10_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch10_2_conv2"
  top: "branch10_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch10_2_conv2_scale"
  bottom: "branch10_2_conv2"
  top: "branch10_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch10_2_conv3"
  type: "Convolution"
  bottom: "branch10_2_conv2"
  top: "branch10_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch10_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch10_2_conv3"
  top: "branch10_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch10_2_conv3_scale"
  bottom: "branch10_2_conv3"
  top: "branch10_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch10_2_conv3_relu"
  type: "ReLU"
  bottom: "branch10_2_conv3"
  top: "branch10_2_conv3"
}
layer {
  name: "concat10"
  type: "Concat"
  bottom: "branch10_1"
  bottom: "branch10_2_conv3"
  top: "concat10"
}
layer {
  name: "shuffle10"
  type: "ShuffleChannel"
  bottom: "concat10"
  top: "shuffle10"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice11"
  type: "Slice"
  bottom: "shuffle10"
  top: "branch11_1"
  top: "branch11_2"
  slice_param {
    slice_point: 116
    axis: 1
  }
}
layer {
  name: "branch11_2_conv1"
  type: "Convolution"
  bottom: "branch11_2"
  top: "branch11_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch11_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch11_2_conv1"
  top: "branch11_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch11_2_conv1_scale"
  bottom: "branch11_2_conv1"
  top: "branch11_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch11_2_conv1_relu"
  type: "ReLU"
  bottom: "branch11_2_conv1"
  top: "branch11_2_conv1"
}
layer {
  name: "branch11_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch11_2_conv1"
  top: "branch11_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch11_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch11_2_conv2"
  top: "branch11_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch11_2_conv2_scale"
  bottom: "branch11_2_conv2"
  top: "branch11_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch11_2_conv3"
  type: "Convolution"
  bottom: "branch11_2_conv2"
  top: "branch11_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch11_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch11_2_conv3"
  top: "branch11_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch11_2_conv3_scale"
  bottom: "branch11_2_conv3"
  top: "branch11_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch11_2_conv3_relu"
  type: "ReLU"
  bottom: "branch11_2_conv3"
  top: "branch11_2_conv3"
}
layer {
  name: "concat11"
  type: "Concat"
  bottom: "branch11_1"
  bottom: "branch11_2_conv3"
  top: "concat11"
}
layer {
  name: "shuffle11"
  type: "ShuffleChannel"
  bottom: "concat11"
  top: "shuffle11"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice12"
  type: "Slice"
  bottom: "shuffle11"
  top: "branch12_1"
  top: "branch12_2"
  slice_param {
    slice_point: 116
    axis: 1
  }
}
layer {
  name: "branch12_2_conv1"
  type: "Convolution"
  bottom: "branch12_2"
  top: "branch12_2_conv1"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch12_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch12_2_conv1"
  top: "branch12_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch12_2_conv1_scale"
  bottom: "branch12_2_conv1"
  top: "branch12_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch12_2_conv1_relu"
  type: "ReLU"
  bottom: "branch12_2_conv1"
  top: "branch12_2_conv1"
}
layer {
  name: "branch12_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch12_2_conv1"
  top: "branch12_2_conv2"
  convolution_param {
    num_output: 116
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch12_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch12_2_conv2"
  top: "branch12_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch12_2_conv2_scale"
  bottom: "branch12_2_conv2"
  top: "branch12_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch12_2_conv3"
  type: "Convolution"
  bottom: "branch12_2_conv2"
  top: "branch12_2_conv3"
  convolution_param {
    num_output: 116
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch12_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch12_2_conv3"
  top: "branch12_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch12_2_conv3_scale"
  bottom: "branch12_2_conv3"
  top: "branch12_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch12_2_conv3_relu"
  type: "ReLU"
  bottom: "branch12_2_conv3"
  top: "branch12_2_conv3"
}
layer {
  name: "concat12"
  type: "Concat"
  bottom: "branch12_1"
  bottom: "branch12_2_conv3"
  top: "concat12"
}
layer {
  name: "shuffle12"
  type: "ShuffleChannel"
  bottom: "concat12"
  top: "shuffle12"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "branch13_1_conv1"
  type: "ConvolutionDepthwise"
  bottom: "shuffle12"
  top: "branch13_1_conv1"
  convolution_param {
    num_output: 232
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch13_1_conv1_bn"
  type: "BatchNorm"
  bottom: "branch13_1_conv1"
  top: "branch13_1_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch13_1_conv1_scale"
  bottom: "branch13_1_conv1"
  top: "branch13_1_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch13_1_conv2"
  type: "Convolution"
  bottom: "branch13_1_conv1"
  top: "branch13_1_conv2"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch13_1_conv2_bn"
  type: "BatchNorm"
  bottom: "branch13_1_conv2"
  top: "branch13_1_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch13_1_conv2_scale"
  bottom: "branch13_1_conv2"
  top: "branch13_1_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch13_1_conv2_relu"
  type: "ReLU"
  bottom: "branch13_1_conv2"
  top: "branch13_1_conv2"
}
layer {
  name: "branch13_2_conv1"
  type: "Convolution"
  bottom: "shuffle12"
  top: "branch13_2_conv1"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch13_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch13_2_conv1"
  top: "branch13_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch13_2_conv1_scale"
  bottom: "branch13_2_conv1"
  top: "branch13_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch13_2_conv1_relu"
  type: "ReLU"
  bottom: "branch13_2_conv1"
  top: "branch13_2_conv1"
}
layer {
  name: "branch13_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch13_2_conv1"
  top: "branch13_2_conv2"
  convolution_param {
    num_output: 232
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch13_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch13_2_conv2"
  top: "branch13_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch13_2_conv2_scale"
  bottom: "branch13_2_conv2"
  top: "branch13_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch13_2_conv3"
  type: "Convolution"
  bottom: "branch13_2_conv2"
  top: "branch13_2_conv3"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch13_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch13_2_conv3"
  top: "branch13_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch13_2_conv3_scale"
  bottom: "branch13_2_conv3"
  top: "branch13_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch13_2_conv3_relu"
  type: "ReLU"
  bottom: "branch13_2_conv3"
  top: "branch13_2_conv3"
}
layer {
  name: "concat13"
  type: "Concat"
  bottom: "branch13_1_conv2"
  bottom: "branch13_2_conv3"
  top: "concat13"
}
layer {
  name: "shuffle13"
  type: "ShuffleChannel"
  bottom: "concat13"
  top: "shuffle13"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice14"
  type: "Slice"
  bottom: "shuffle13"
  top: "branch14_1"
  top: "branch14_2"
  slice_param {
    slice_point: 232
    axis: 1
  }
}
layer {
  name: "branch14_2_conv1"
  type: "Convolution"
  bottom: "branch14_2"
  top: "branch14_2_conv1"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch14_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch14_2_conv1"
  top: "branch14_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch14_2_conv1_scale"
  bottom: "branch14_2_conv1"
  top: "branch14_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch14_2_conv1_relu"
  type: "ReLU"
  bottom: "branch14_2_conv1"
  top: "branch14_2_conv1"
}
layer {
  name: "branch14_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch14_2_conv1"
  top: "branch14_2_conv2"
  convolution_param {
    num_output: 232
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch14_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch14_2_conv2"
  top: "branch14_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch14_2_conv2_scale"
  bottom: "branch14_2_conv2"
  top: "branch14_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch14_2_conv3"
  type: "Convolution"
  bottom: "branch14_2_conv2"
  top: "branch14_2_conv3"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch14_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch14_2_conv3"
  top: "branch14_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch14_2_conv3_scale"
  bottom: "branch14_2_conv3"
  top: "branch14_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch14_2_conv3_relu"
  type: "ReLU"
  bottom: "branch14_2_conv3"
  top: "branch14_2_conv3"
}
layer {
  name: "concat14"
  type: "Concat"
  bottom: "branch14_1"
  bottom: "branch14_2_conv3"
  top: "concat14"
}
layer {
  name: "shuffle14"
  type: "ShuffleChannel"
  bottom: "concat14"
  top: "shuffle14"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice15"
  type: "Slice"
  bottom: "shuffle14"
  top: "branch15_1"
  top: "branch15_2"
  slice_param {
    slice_point: 232
    axis: 1
  }
}
layer {
  name: "branch15_2_conv1"
  type: "Convolution"
  bottom: "branch15_2"
  top: "branch15_2_conv1"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch15_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch15_2_conv1"
  top: "branch15_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch15_2_conv1_scale"
  bottom: "branch15_2_conv1"
  top: "branch15_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch15_2_conv1_relu"
  type: "ReLU"
  bottom: "branch15_2_conv1"
  top: "branch15_2_conv1"
}
layer {
  name: "branch15_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch15_2_conv1"
  top: "branch15_2_conv2"
  convolution_param {
    num_output: 232
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch15_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch15_2_conv2"
  top: "branch15_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch15_2_conv2_scale"
  bottom: "branch15_2_conv2"
  top: "branch15_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch15_2_conv3"
  type: "Convolution"
  bottom: "branch15_2_conv2"
  top: "branch15_2_conv3"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch15_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch15_2_conv3"
  top: "branch15_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch15_2_conv3_scale"
  bottom: "branch15_2_conv3"
  top: "branch15_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch15_2_conv3_relu"
  type: "ReLU"
  bottom: "branch15_2_conv3"
  top: "branch15_2_conv3"
}
layer {
  name: "concat15"
  type: "Concat"
  bottom: "branch15_1"
  bottom: "branch15_2_conv3"
  top: "concat15"
}
layer {
  name: "shuffle15"
  type: "ShuffleChannel"
  bottom: "concat15"
  top: "shuffle15"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "slice16"
  type: "Slice"
  bottom: "shuffle15"
  top: "branch16_1"
  top: "branch16_2"
  slice_param {
    slice_point: 232
    axis: 1
  }
}
layer {
  name: "branch16_2_conv1"
  type: "Convolution"
  bottom: "branch16_2"
  top: "branch16_2_conv1"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch16_2_conv1_bn"
  type: "BatchNorm"
  bottom: "branch16_2_conv1"
  top: "branch16_2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch16_2_conv1_scale"
  bottom: "branch16_2_conv1"
  top: "branch16_2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch16_2_conv1_relu"
  type: "ReLU"
  bottom: "branch16_2_conv1"
  top: "branch16_2_conv1"
}
layer {
  name: "branch16_2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "branch16_2_conv1"
  top: "branch16_2_conv2"
  convolution_param {
    num_output: 232
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch16_2_conv2_bn"
  type: "BatchNorm"
  bottom: "branch16_2_conv2"
  top: "branch16_2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch16_2_conv2_scale"
  bottom: "branch16_2_conv2"
  top: "branch16_2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch16_2_conv3"
  type: "Convolution"
  bottom: "branch16_2_conv2"
  top: "branch16_2_conv3"
  convolution_param {
    num_output: 232
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "branch16_2_conv3_bn"
  type: "BatchNorm"
  bottom: "branch16_2_conv3"
  top: "branch16_2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "branch16_2_conv3_scale"
  bottom: "branch16_2_conv3"
  top: "branch16_2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "branch16_2_conv3_relu"
  type: "ReLU"
  bottom: "branch16_2_conv3"
  top: "branch16_2_conv3"
}
layer {
  name: "concat16"
  type: "Concat"
  bottom: "branch16_1"
  bottom: "branch16_2_conv3"
  top: "concat16"
}
layer {
  name: "shuffle16"
  type: "ShuffleChannel"
  bottom: "concat16"
  top: "shuffle16"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "shuffle16"
  top: "conv5"
  convolution_param {
    num_output: 1024
    pad: 0
    kernel_size: 1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv5_bn"
  type: "BatchNorm"
  bottom: "conv5"
  top: "conv5"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "conv5_scale"
  bottom: "conv5"
  top: "conv5"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv5_relu"
  type: "ReLU"
  bottom: "conv5"
  top: "conv5"
}
layer {
  name: "pool_ave"
  type: "Pooling"
  bottom: "conv5"
  top: "pool_ave"
  pooling_param {
    global_pooling : true
    pool: AVE
  }
}
layer {
  name: "fc1000"
  type: "Convolution"
  bottom: "pool_ave"
  top: "fc1000"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1000
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}