shuffleNet_V2_2x_deploy.prototxt

name: "ShuffleNet V2"
#  transform_param {
#    scale: 0.017
#    mirror: false
#    crop_size: 224
#    mean_value: [103.94,116.78,123.68]
#  }
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: "resx1_match_DWconv"
  type: "ConvolutionDepthwise"
  bottom: "pool1"
  top: "resx1_match_DWconv"
  convolution_param {
    num_output: 122
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx1_match_DWconv_bn"
  type: "BatchNorm"
  bottom: "resx1_match_DWconv"
  top: "resx1_match_DWconv"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx1_match_DWconv_scale"
  bottom: "resx1_match_DWconv"
  top: "resx1_match_DWconv"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx1_match_conv"
  type: "Convolution"
  bottom: "resx1_match_DWconv"
  top: "resx1_match_conv"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx1_match_conv_bn"
  type: "BatchNorm"
  bottom: "resx1_match_conv"
  top: "resx1_match_conv"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx1_match_conv_scale"
  bottom: "resx1_match_conv"
  top: "resx1_match_conv"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx1_match_conv_relu"
  type: "ReLU"
  bottom: "resx1_match_conv"
  top: "resx1_match_conv"
}
layer {
  name: "resx1_conv1"
  type: "Convolution"
  bottom: "pool1"
  top: "resx1_conv1"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx1_conv1_bn"
  type: "BatchNorm"
  bottom: "resx1_conv1"
  top: "resx1_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx1_conv1_scale"
  bottom: "resx1_conv1"
  top: "resx1_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx1_conv1_relu"
  type: "ReLU"
  bottom: "resx1_conv1"
  top: "resx1_conv1"
}
layer {
  name: "resx1_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx1_conv1"
  top: "resx1_conv2"
  convolution_param {
    num_output: 122
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx1_conv2_bn"
  type: "BatchNorm"
  bottom: "resx1_conv2"
  top: "resx1_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx1_conv2_scale"
  bottom: "resx1_conv2"
  top: "resx1_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx1_conv3"
  type: "Convolution"
  bottom: "resx1_conv2"
  top: "resx1_conv3"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx1_conv3_bn"
  type: "BatchNorm"
  bottom: "resx1_conv3"
  top: "resx1_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx1_conv3_scale"
  bottom: "resx1_conv3"
  top: "resx1_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx1_conv3_relu"
  type: "ReLU"
  bottom: "resx1_conv3"
  top: "resx1_conv3"
}
layer {
  name: "resx1_concat"
  type: "Concat"
  bottom: "resx1_match_conv"
  bottom: "resx1_conv3"
  top: "resx1_concat"
}
layer {
  name: "shuffle1"
  type: "ShuffleChannel"
  bottom: "resx1_concat"
  top: "shuffle1"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx2_channelsplit"
  type:"Slice"
  bottom:"shuffle1"
  top:"resx2_part1"
  top:"resx2_part2"
  slice_param {
    slice_point: 122
  }
}
layer {
  name: "resx2_conv1"
  type: "Convolution"
  bottom: "resx2_part2"
  top: "resx2_conv1"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx2_conv1_bn"
  type: "BatchNorm"
  bottom: "resx2_conv1"
  top: "resx2_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx2_conv1_scale"
  bottom: "resx2_conv1"
  top: "resx2_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx2_conv1_relu"
  type: "ReLU"
  bottom: "resx2_conv1"
  top: "resx2_conv1"
}

layer {
  name: "resx2_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx2_conv1"
  top: "resx2_conv2"
  convolution_param {
    num_output: 122
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx2_conv2_bn"
  type: "BatchNorm"
  bottom: "resx2_conv2"
  top: "resx2_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx2_conv2_scale"
  bottom: "resx2_conv2"
  top: "resx2_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx2_conv3"
  type: "Convolution"
  bottom: "resx2_conv2"
  top: "resx2_conv3"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx2_conv3_bn"
  type: "BatchNorm"
  bottom: "resx2_conv3"
  top: "resx2_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx2_conv3_scale"
  bottom: "resx2_conv3"
  top: "resx2_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx2_conv3_relu"
  type: "ReLU"
  bottom: "resx2_conv3"
  top: "resx2_conv3"
}
layer {
  name: "resx2_concat"
  type: "Concat"
  bottom: "resx2_part1"
  bottom: "resx2_conv3"
  top: "resx2_concat"
}
layer {
  name: "shuffle2"
  type: "ShuffleChannel"
  bottom: "resx2_concat"
  top: "shuffle2"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx3_channelsplit"
  type:"Slice"
  bottom:"shuffle2"
  top:"resx3_part1"
  top:"resx3_part2"
  slice_param {
    slice_point: 122
  }
}
layer {
  name: "resx3_conv1"
  type: "Convolution"
  bottom: "resx3_part2"
  top: "resx3_conv1"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx3_conv1_bn"
  type: "BatchNorm"
  bottom: "resx3_conv1"
  top: "resx3_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx3_conv1_scale"
  bottom: "resx3_conv1"
  top: "resx3_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx3_conv1_relu"
  type: "ReLU"
  bottom: "resx3_conv1"
  top: "resx3_conv1"
}
layer {
  name: "resx3_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx3_conv1"
  top: "resx3_conv2"
  convolution_param {
    num_output: 122
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx3_conv2_bn"
  type: "BatchNorm"
  bottom: "resx3_conv2"
  top: "resx3_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx3_conv2_scale"
  bottom: "resx3_conv2"
  top: "resx3_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx3_conv3"
  type: "Convolution"
  bottom: "resx3_conv2"
  top: "resx3_conv3"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx3_conv3_bn"
  type: "BatchNorm"
  bottom: "resx3_conv3"
  top: "resx3_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx3_conv3_scale"
  bottom: "resx3_conv3"
  top: "resx3_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx3_conv3_relu"
  type: "ReLU"
  bottom: "resx3_conv3"
  top: "resx3_conv3"
}

layer {
  name: "resx3_concat"
  type: "Concat"
  bottom: "resx3_part1"
  bottom: "resx3_conv3"
  top: "resx3_concat"
}
layer {
  name: "shuffle3"
  type: "ShuffleChannel"
  bottom: "resx3_concat"
  top: "shuffle3"
  shuffle_channel_param {
    group: 2
  }
}

layer{
  name:"resx4_channelsplit"
  type:"Slice"
  bottom:"shuffle3"
  top:"resx4_part1"
  top:"resx4_part2"
  slice_param {
    slice_point: 122
  }
}

layer {
  name: "resx4_conv1"
  type: "Convolution"
  bottom: "resx4_part2"
  top: "resx4_conv1"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx4_conv1_bn"
  type: "BatchNorm"
  bottom: "resx4_conv1"
  top: "resx4_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx4_conv1_scale"
  bottom: "resx4_conv1"
  top: "resx4_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx4_conv1_relu"
  type: "ReLU"
  bottom: "resx4_conv1"
  top: "resx4_conv1"
}

layer {
  name: "resx4_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx4_conv1"
  top: "resx4_conv2"
  convolution_param {
    num_output: 122
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx4_conv2_bn"
  type: "BatchNorm"
  bottom: "resx4_conv2"
  top: "resx4_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx4_conv2_scale"
  bottom: "resx4_conv2"
  top: "resx4_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx4_conv3"
  type: "Convolution"
  bottom: "resx4_conv2"
  top: "resx4_conv3"
  convolution_param {
    num_output: 122
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx4_conv3_bn"
  type: "BatchNorm"
  bottom: "resx4_conv3"
  top: "resx4_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx4_conv3_scale"
  bottom: "resx4_conv3"
  top: "resx4_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx4_conv3_relu"
  type: "ReLU"
  bottom: "resx4_conv3"
  top: "resx4_conv3"
}

layer {
  name: "resx4_concat"
  type: "Concat"
  bottom: "resx4_part1"
  bottom: "resx4_conv3"
  top: "resx4_concat"
}

layer {
  name: "shuffle4"
  type: "ShuffleChannel"
  bottom: "resx4_concat"
  top: "shuffle4"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "resx5_match_DWconv"
  type: "ConvolutionDepthwise"
  bottom: "shuffle4"
  top: "resx5_match_DWconv"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 2
     pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx5_match_DWconv_bn"
  type: "BatchNorm"
  bottom: "resx5_match_DWconv"
  top: "resx5_match_DWconv"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx5_match_DWconv_scale"
  bottom: "resx5_match_DWconv"
  top: "resx5_match_DWconv"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx5_match_conv"
  type: "Convolution"
  bottom: "resx5_match_DWconv"
  top: "resx5_match_conv"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx5_match_conv_bn"
  type: "BatchNorm"
  bottom: "resx5_match_conv"
  top: "resx5_match_conv"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx5_match_conv_scale"
  bottom: "resx5_match_conv"
  top: "resx5_match_conv"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx5_match_conv_relu"
  type: "ReLU"
  bottom: "resx5_match_conv"
  top: "resx5_match_conv"
}
layer {
  name: "resx5_conv1"
  type: "Convolution"
  bottom: "shuffle4"
  top: "resx5_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx5_conv1_bn"
  type: "BatchNorm"
  bottom: "resx5_conv1"
  top: "resx5_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx5_conv1_scale"
  bottom: "resx5_conv1"
  top: "resx5_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx5_conv1_relu"
  type: "ReLU"
  bottom: "resx5_conv1"
  top: "resx5_conv1"
}
layer {
  name: "resx5_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx5_conv1"
  top: "resx5_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx5_conv2_bn"
  type: "BatchNorm"
  bottom: "resx5_conv2"
  top: "resx5_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx5_conv2_scale"
  bottom: "resx5_conv2"
  top: "resx5_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx5_conv3"
  type: "Convolution"
  bottom: "resx5_conv2"
  top: "resx5_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx5_conv3_bn"
  type: "BatchNorm"
  bottom: "resx5_conv3"
  top: "resx5_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx5_conv3_scale"
  bottom: "resx5_conv3"
  top: "resx5_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx5_conv3_relu"
  type: "ReLU"
  bottom: "resx5_conv3"
  top: "resx5_conv3"
}

layer {
  name: "resx5_concat"
  type: "Concat"
  bottom: "resx5_match_conv"
  bottom: "resx5_conv3"
  top: "resx5_concat"
}
layer {
  name: "shuffle5"
  type: "ShuffleChannel"
  bottom: "resx5_concat"
  top: "shuffle5"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx6_channelsplit"
  type:"Slice"
  bottom:"shuffle5"
  top:"resx6_part1"
  top:"resx6_part2"
  slice_param {
    slice_point: 244
  }
}

layer {
  name: "resx6_conv1"
  type: "Convolution"
  bottom: "resx6_part2"
  top: "resx6_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx6_conv1_bn"
  type: "BatchNorm"
  bottom: "resx6_conv1"
  top: "resx6_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx6_conv1_scale"
  bottom: "resx6_conv1"
  top: "resx6_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx6_conv1_relu"
  type: "ReLU"
  bottom: "resx6_conv1"
  top: "resx6_conv1"
}

layer {
  name: "resx6_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx6_conv1"
  top: "resx6_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx6_conv2_bn"
  type: "BatchNorm"
  bottom: "resx6_conv2"
  top: "resx6_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx6_conv2_scale"
  bottom: "resx6_conv2"
  top: "resx6_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx6_conv3"
  type: "Convolution"
  bottom: "resx6_conv2"
  top: "resx6_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx6_conv3_bn"
  type: "BatchNorm"
  bottom: "resx6_conv3"
  top: "resx6_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx6_conv3_scale"
  bottom: "resx6_conv3"
  top: "resx6_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx6_conv3_relu"
  type: "ReLU"
  bottom: "resx6_conv3"
  top: "resx6_conv3"
}
layer {
  name: "resx6_concat"
  type: "Concat"
  bottom: "resx6_part1"
  bottom: "resx6_conv3"
  top: "resx6_concat"
}
layer {
  name: "shuffle6"
  type: "ShuffleChannel"
  bottom: "resx6_concat"
  top: "shuffle6"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx7_channelsplit"
  type:"Slice"
  bottom:"shuffle6"
  top:"resx7_part1"
  top:"resx7_part2"
  slice_param {
    slice_point: 244
  }
}

layer {
  name: "resx7_conv1"
  type: "Convolution"
  bottom: "resx7_part2"
  top: "resx7_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx7_conv1_bn"
  type: "BatchNorm"
  bottom: "resx7_conv1"
  top: "resx7_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx7_conv1_scale"
  bottom: "resx7_conv1"
  top: "resx7_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx7_conv1_relu"
  type: "ReLU"
  bottom: "resx7_conv1"
  top: "resx7_conv1"
}
layer {
  name: "resx7_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx7_conv1"
  top: "resx7_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx7_conv2_bn"
  type: "BatchNorm"
  bottom: "resx7_conv2"
  top: "resx7_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx7_conv2_scale"
  bottom: "resx7_conv2"
  top: "resx7_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx7_conv3"
  type: "Convolution"
  bottom: "resx7_conv2"
  top: "resx7_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx7_conv3_bn"
  type: "BatchNorm"
  bottom: "resx7_conv3"
  top: "resx7_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx7_conv3_scale"
  bottom: "resx7_conv3"
  top: "resx7_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx7_conv3_relu"
  type: "ReLU"
  bottom: "resx7_conv3"
  top: "resx7_conv3"
}

layer {
  name: "resx7_concat"
  type: "Concat"
  bottom: "resx7_part1"
  bottom: "resx7_conv3"
  top: "resx7_concat"
}
layer {
  name: "shuffle7"
  type: "ShuffleChannel"
  bottom: "resx7_concat"
  top: "shuffle7"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx8_channelsplit"
  type:"Slice"
  bottom:"shuffle7"
  top:"resx8_part1"
  top:"resx8_part2"
  slice_param {
    slice_point: 244
  }
}

layer {
  name: "resx8_conv1"
  type: "Convolution"
  bottom: "resx8_part2"
  top: "resx8_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx8_conv1_bn"
  type: "BatchNorm"
  bottom: "resx8_conv1"
  top: "resx8_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx8_conv1_scale"
  bottom: "resx8_conv1"
  top: "resx8_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx8_conv1_relu"
  type: "ReLU"
  bottom: "resx8_conv1"
  top: "resx8_conv1"
}

layer {
  name: "resx8_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx8_conv1"
  top: "resx8_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx8_conv2_bn"
  type: "BatchNorm"
  bottom: "resx8_conv2"
  top: "resx8_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx8_conv2_scale"
  bottom: "resx8_conv2"
  top: "resx8_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx8_conv3"
  type: "Convolution"
  bottom: "resx8_conv2"
  top: "resx8_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx8_conv3_bn"
  type: "BatchNorm"
  bottom: "resx8_conv3"
  top: "resx8_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx8_conv3_scale"
  bottom: "resx8_conv3"
  top: "resx8_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx8_conv3_relu"
  type: "ReLU"
  bottom: "resx8_conv3"
  top: "resx8_conv3"
}

layer {
  name: "resx8_concat"
  type: "Concat"
  bottom: "resx8_part1"
  bottom: "resx8_conv3"
  top: "resx8_concat"
}
layer {
  name: "shuffle8"
  type: "ShuffleChannel"
  bottom: "resx8_concat"
  top: "shuffle8"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx9_channelsplit"
  type:"Slice"
  bottom:"shuffle8"
  top:"resx9_part1"
  top:"resx9_part2"
  slice_param {
    slice_point: 244
  }
}
layer {
  name: "resx9_conv1"
  type: "Convolution"
  bottom: "resx9_part2"
  top: "resx9_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx9_conv1_bn"
  type: "BatchNorm"
  bottom: "resx9_conv1"
  top: "resx9_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx9_conv1_scale"
  bottom: "resx9_conv1"
  top: "resx9_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx9_conv1_relu"
  type: "ReLU"
  bottom: "resx9_conv1"
  top: "resx9_conv1"
}
layer {
  name: "resx9_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx9_conv1"
  top: "resx9_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx9_conv2_bn"
  type: "BatchNorm"
  bottom: "resx9_conv2"
  top: "resx9_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx9_conv2_scale"
  bottom: "resx9_conv2"
  top: "resx9_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx9_conv3"
  type: "Convolution"
  bottom: "resx9_conv2"
  top: "resx9_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx9_conv3_bn"
  type: "BatchNorm"
  bottom: "resx9_conv3"
  top: "resx9_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx9_conv3_scale"
  bottom: "resx9_conv3"
  top: "resx9_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx9_concat_relu"
  type: "ReLU"
  bottom: "resx9_conv3"
  top: "resx9_conv3"
}
layer {
  name: "resx9_concat"
  type: "Concat"
  bottom: "resx9_part1"
  bottom: "resx9_conv3"
  top: "resx9_concat"
}
layer {
  name: "shuffle9"
  type: "ShuffleChannel"
  bottom: "resx9_concat"
  top: "shuffle9"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx10_channelsplit"
  type:"Slice"
  bottom:"shuffle9"
  top:"resx10_part1"
  top:"resx10_part2"
  slice_param {
    slice_point: 244
  }
}

layer {
  name: "resx10_conv1"
  type: "Convolution"
  bottom: "resx10_part2"
  top: "resx10_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx10_conv1_bn"
  type: "BatchNorm"
  bottom: "resx10_conv1"
  top: "resx10_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx10_conv1_scale"
  bottom: "resx10_conv1"
  top: "resx10_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx10_conv1_relu"
  type: "ReLU"
  bottom: "resx10_conv1"
  top: "resx10_conv1"
}

layer {
  name: "resx10_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx10_conv1"
  top: "resx10_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx10_conv2_bn"
  type: "BatchNorm"
  bottom: "resx10_conv2"
  top: "resx10_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx10_conv2_scale"
  bottom: "resx10_conv2"
  top: "resx10_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx10_conv3"
  type: "Convolution"
  bottom: "resx10_conv2"
  top: "resx10_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx10_conv3_bn"
  type: "BatchNorm"
  bottom: "resx10_conv3"
  top: "resx10_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx10_conv3_scale"
  bottom: "resx10_conv3"
  top: "resx10_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx10_conv3_relu"
  type: "ReLU"
  bottom: "resx10_conv3"
  top: "resx10_conv3"
}
layer {
  name: "resx10_concat"
  type: "Concat"
  bottom: "resx10_part1"
  bottom: "resx10_conv3"
  top: "resx10_concat"
}
layer {
  name: "shuffle10"
  type: "ShuffleChannel"
  bottom: "resx10_concat"
  top: "shuffle10"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx11_channelsplit"
  type:"Slice"
  bottom:"shuffle10"
  top:"resx11_part1"
  top:"resx11_part2"
  slice_param {
    slice_point: 244
  }
}
layer {
  name: "resx11_conv1"
  type: "Convolution"
  bottom: "resx11_part2"
  top: "resx11_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx11_conv1_bn"
  type: "BatchNorm"
  bottom: "resx11_conv1"
  top: "resx11_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx11_conv1_scale"
  bottom: "resx11_conv1"
  top: "resx11_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx11_conv1_relu"
  type: "ReLU"
  bottom: "resx11_conv1"
  top: "resx11_conv1"
}
layer {
  name: "resx11_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx11_conv1"
  top: "resx11_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx11_conv2_bn"
  type: "BatchNorm"
  bottom: "resx11_conv2"
  top: "resx11_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx11_conv2_scale"
  bottom: "resx11_conv2"
  top: "resx11_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx11_conv3"
  type: "Convolution"
  bottom: "resx11_conv2"
  top: "resx11_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx11_conv3_bn"
  type: "BatchNorm"
  bottom: "resx11_conv3"
  top: "resx11_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx11_conv3_scale"
  bottom: "resx11_conv3"
  top: "resx11_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx11_conv3_relu"
  type: "ReLU"
  bottom: "resx11_conv3"
  top: "resx11_conv3"
}
layer {
  name: "resx11_concat"
  type: "Concat"
  bottom: "resx11_part1"
  bottom: "resx11_conv3"
  top: "resx11_concat"
}
layer {
  name: "shuffle11"
  type: "ShuffleChannel"
  bottom: "resx11_concat"
  top: "shuffle11"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx12_channelsplit"
  type:"Slice"
  bottom:"shuffle11"
  top:"resx12_part1"
  top:"resx12_part2"
  slice_param {
    slice_point: 244
  }
}
layer {
  name: "resx12_conv1"
  type: "Convolution"
  bottom: "resx12_part2"
  top: "resx12_conv1"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx12_conv1_bn"
  type: "BatchNorm"
  bottom: "resx12_conv1"
  top: "resx12_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx12_conv1_scale"
  bottom: "resx12_conv1"
  top: "resx12_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx12_conv1_relu"
  type: "ReLU"
  bottom: "resx12_conv1"
  top: "resx12_conv1"
}
layer {
  name: "resx12_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx12_conv1"
  top: "resx12_conv2"
  convolution_param {
    num_output: 244
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx12_conv2_bn"
  type: "BatchNorm"
  bottom: "resx12_conv2"
  top: "resx12_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx12_conv2_scale"
  bottom: "resx12_conv2"
  top: "resx12_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx12_conv3"
  type: "Convolution"
  bottom: "resx12_conv2"
  top: "resx12_conv3"
  convolution_param {
    num_output: 244
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx12_conv3_bn"
  type: "BatchNorm"
  bottom: "resx12_conv3"
  top: "resx12_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx12_conv3_scale"
  bottom: "resx12_conv3"
  top: "resx12_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx12_conv3_relu"
  type: "ReLU"
  bottom: "resx12_conv3"
  top: "resx12_conv3"
}
layer {
  name: "resx12_concat"
  type: "Concat"
  bottom: "resx12_part1"
  bottom: "resx12_conv3"
  top: "resx12_concat"
}
layer {
  name: "shuffle12"
  type: "ShuffleChannel"
  bottom: "resx12_concat"
  top: "shuffle12"
  shuffle_channel_param {
    group: 2
  }
}
layer {
  name: "resx13_match_DWconv"
  type: "ConvolutionDepthwise"
  bottom: "shuffle12"
  top: "resx13_match_DWconv"
  convolution_param {
    num_output: 488
    kernel_size: 3
    stride: 2
     pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx13_match_DWconv_bn"
  type: "BatchNorm"
  bottom: "resx13_match_DWconv"
  top: "resx13_match_DWconv"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx13_match_DWconv_scale"
  bottom: "resx13_match_DWconv"
  top: "resx13_match_DWconv"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx13_match_conv"
  type: "Convolution"
  bottom: "resx13_match_DWconv"
  top: "resx13_match_conv"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx13_match_conv_bn"
  type: "BatchNorm"
  bottom: "resx13_match_conv"
  top: "resx13_match_conv"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx13_match_conv_scale"
  bottom: "resx13_match_conv"
  top: "resx13_match_conv"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx13_match_conv_relu"
  type: "ReLU"
  bottom: "resx13_match_conv"
  top: "resx13_match_conv"
}
layer {
  name: "resx13_conv1"
  type: "Convolution"
  bottom: "shuffle12"
  top: "resx13_conv1"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx13_conv1_bn"
  type: "BatchNorm"
  bottom: "resx13_conv1"
  top: "resx13_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx13_conv1_scale"
  bottom: "resx13_conv1"
  top: "resx13_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx13_conv1_relu"
  type: "ReLU"
  bottom: "resx13_conv1"
  top: "resx13_conv1"
}

layer {
  name: "resx13_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx13_conv1"
  top: "resx13_conv2"
  convolution_param {
    num_output: 488
    kernel_size: 3
    stride: 2
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx13_conv2_bn"
  type: "BatchNorm"
  bottom: "resx13_conv2"
  top: "resx13_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx13_conv2_scale"
  bottom: "resx13_conv2"
  top: "resx13_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx13_conv3"
  type: "Convolution"
  bottom: "resx13_conv2"
  top: "resx13_conv3"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx13_conv3_bn"
  type: "BatchNorm"
  bottom: "resx13_conv3"
  top: "resx13_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx13_conv3_scale"
  bottom: "resx13_conv3"
  top: "resx13_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx13_conv3_relu"
  type: "ReLU"
  bottom: "resx13_conv3"
  top: "resx13_conv3"
}
layer {
  name: "resx13_concat"
  type: "Concat"
  bottom: "resx13_match_conv"
  bottom: "resx13_conv3"
  top: "resx13_concat"
}
layer {
  name: "shuffle13"
  type: "ShuffleChannel"
  bottom: "resx13_concat"
  top: "shuffle13"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx14_channelsplit"
  type:"Slice"
  bottom:"shuffle13"
  top:"resx14_part1"
  top:"resx14_part2"
  slice_param {
    slice_point: 488
  }
}

layer {
  name: "resx14_conv1"
  type: "Convolution"
  bottom: "resx14_part2"
  top: "resx14_conv1"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx14_conv1_bn"
  type: "BatchNorm"
  bottom: "resx14_conv1"
  top: "resx14_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx14_conv1_scale"
  bottom: "resx14_conv1"
  top: "resx14_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx14_conv1_relu"
  type: "ReLU"
  bottom: "resx14_conv1"
  top: "resx14_conv1"
}
layer {
  name: "resx14_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx14_conv1"
  top: "resx14_conv2"
  convolution_param {
    num_output: 488
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx14_conv2_bn"
  type: "BatchNorm"
  bottom: "resx14_conv2"
  top: "resx14_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx14_conv2_scale"
  bottom: "resx14_conv2"
  top: "resx14_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx14_conv3"
  type: "Convolution"
  bottom: "resx14_conv2"
  top: "resx14_conv3"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx14_conv3_bn"
  type: "BatchNorm"
  bottom: "resx14_conv3"
  top: "resx14_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx14_conv3_scale"
  bottom: "resx14_conv3"
  top: "resx14_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx14_conv3_relu"
  type: "ReLU"
  bottom: "resx14_conv3"
  top: "resx14_conv3"
}
layer {
  name: "resx14_concat"
  type: "Concat"
  bottom: "resx14_part1"
  bottom: "resx14_conv3"
  top: "resx14_concat"
}
layer {
  name: "shuffle14"
  type: "ShuffleChannel"
  bottom: "resx14_concat"
  top: "shuffle14"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx15_channelsplit"
  type:"Slice"
  bottom:"shuffle14"
  top:"resx15_part1"
  top:"resx15_part2"
  slice_param {
    slice_point: 488
  }
}
layer {
  name: "resx15_conv1"
  type: "Convolution"
  bottom: "resx15_part2"
  top: "resx15_conv1"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx15_conv1_bn"
  type: "BatchNorm"
  bottom: "resx15_conv1"
  top: "resx15_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx15_conv1_scale"
  bottom: "resx15_conv1"
  top: "resx15_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx15_conv1_relu"
  type: "ReLU"
  bottom: "resx15_conv1"
  top: "resx15_conv1"
}
layer {
  name: "resx15_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx15_conv1"
  top: "resx15_conv2"
  convolution_param {
    num_output: 488
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx15_conv2_bn"
  type: "BatchNorm"
  bottom: "resx15_conv2"
  top: "resx15_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx15_conv2_scale"
  bottom: "resx15_conv2"
  top: "resx15_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx15_conv3"
  type: "Convolution"
  bottom: "resx15_conv2"
  top: "resx15_conv3"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx15_conv3_bn"
  type: "BatchNorm"
  bottom: "resx15_conv3"
  top: "resx15_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx15_conv3_scale"
  bottom: "resx15_conv3"
  top: "resx15_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx15_conv3_relu"
  type: "ReLU"
  bottom: "resx15_conv3"
  top: "resx15_conv3"
}
layer {
  name: "resx15_concat"
  type: "Concat"
  bottom: "resx15_part1"
  bottom: "resx15_conv3"
  top: "resx15_concat"
}
layer {
  name: "shuffle15"
  type: "ShuffleChannel"
  bottom: "resx15_concat"
  top: "shuffle15"
  shuffle_channel_param {
    group: 2
  }
}
layer{
  name:"resx16_channelsplit"
  type:"Slice"
  bottom:"shuffle15"
  top:"resx16_part1"
  top:"resx16_part2"
  slice_param {
    slice_point: 488
  }
}
layer {
  name: "resx16_conv1"
  type: "Convolution"
  bottom: "resx16_part2"
  top: "resx16_conv1"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx16_conv1_bn"
  type: "BatchNorm"
  bottom: "resx16_conv1"
  top: "resx16_conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx16_conv1_scale"
  bottom: "resx16_conv1"
  top: "resx16_conv1"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx16_conv1_relu"
  type: "ReLU"
  bottom: "resx16_conv1"
  top: "resx16_conv1"
}
layer {
  name: "resx16_conv2"
  type: "ConvolutionDepthwise"
  bottom: "resx16_conv1"
  top: "resx16_conv2"
  convolution_param {
    num_output: 488
    kernel_size: 3
    stride: 1
    pad: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx16_conv2_bn"
  type: "BatchNorm"
  bottom: "resx16_conv2"
  top: "resx16_conv2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx16_conv2_scale"
  bottom: "resx16_conv2"
  top: "resx16_conv2"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx16_conv3"
  type: "Convolution"
  bottom: "resx16_conv2"
  top: "resx16_conv3"
  convolution_param {
    num_output: 488
    kernel_size: 1
    stride: 1
    pad: 0
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "resx16_conv3_bn"
  type: "BatchNorm"
  bottom: "resx16_conv3"
  top: "resx16_conv3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "resx16_conv3_scale"
  bottom: "resx16_conv3"
  top: "resx16_conv3"
  type: "Scale"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "resx16_conv3_relu"
  type: "ReLU"
  bottom: "resx16_conv3"
  top: "resx16_conv3"
}
layer {
  name: "resx16_concat"
  type: "Concat"
  bottom: "resx16_part1"
  bottom: "resx16_conv3"
  top: "resx16_concat"
}
layer {
  name: "shuffle16"
  type: "ShuffleChannel"
  bottom: "resx16_concat"
  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
    }
  }
}