name: "mobilenetface"
layer {
  name: "data"
  type: "Input"
  top: "blob1"
  input_param { shape: { dim: 1 dim:1  dim: 128 dim: 128} }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "blob1"
  top: "conv_blob1"
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm1"
  type: "BatchNorm"
  bottom: "conv_blob1"
  top: "batch_norm_blob1"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale1"
  type: "Scale"
  bottom: "batch_norm_blob1"
  top: "batch_norm_blob1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "batch_norm_blob1"
  top: "relu_blob1"
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "relu_blob1"
  top: "conv_blob2"
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 48
    stride: 1
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm2"
  type: "BatchNorm"
  bottom: "conv_blob2"
  top: "batch_norm_blob2"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale2"
  type: "Scale"
  bottom: "batch_norm_blob2"
  top: "batch_norm_blob2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "batch_norm_blob2"
  top: "relu_blob2"
}
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "relu_blob2"
  top: "conv_blob3"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm3"
  type: "BatchNorm"
  bottom: "conv_blob3"
  top: "batch_norm_blob3"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale3"
  type: "Scale"
  bottom: "batch_norm_blob3"
  top: "batch_norm_blob3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "batch_norm_blob3"
  top: "relu_blob3"
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "relu_blob3"
  top: "conv_blob4"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 64
    stride: 2
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm4"
  type: "BatchNorm"
  bottom: "conv_blob4"
  top: "batch_norm_blob4"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale4"
  type: "Scale"
  bottom: "batch_norm_blob4"
  top: "batch_norm_blob4"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu4"
  type: "ReLU"
  bottom: "batch_norm_blob4"
  top: "relu_blob4"
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "relu_blob4"
  top: "conv_blob5"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm5"
  type: "BatchNorm"
  bottom: "conv_blob5"
  top: "batch_norm_blob5"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale5"
  type: "Scale"
  bottom: "batch_norm_blob5"
  top: "batch_norm_blob5"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu5"
  type: "ReLU"
  bottom: "batch_norm_blob5"
  top: "relu_blob5"
}
layer {
  name: "conv6"
  type: "Convolution"
  bottom: "relu_blob5"
  top: "conv_blob6"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm6"
  type: "BatchNorm"
  bottom: "conv_blob6"
  top: "batch_norm_blob6"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale6"
  type: "Scale"
  bottom: "batch_norm_blob6"
  top: "batch_norm_blob6"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "batch_norm_blob6"
  top: "relu_blob6"
}
layer {
  name: "conv7"
  type: "Convolution"
  bottom: "relu_blob6"
  top: "conv_blob7"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm7"
  type: "BatchNorm"
  bottom: "conv_blob7"
  top: "batch_norm_blob7"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale7"
  type: "Scale"
  bottom: "batch_norm_blob7"
  top: "batch_norm_blob7"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "batch_norm_blob7"
  top: "relu_blob7"
}
layer {
  name: "conv8"
  type: "Convolution"
  bottom: "relu_blob7"
  top: "conv_blob8"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 2
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm8"
  type: "BatchNorm"
  bottom: "conv_blob8"
  top: "batch_norm_blob8"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale8"
  type: "Scale"
  bottom: "batch_norm_blob8"
  top: "batch_norm_blob8"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu8"
  type: "ReLU"
  bottom: "batch_norm_blob8"
  top: "relu_blob8"
}
layer {
  name: "conv9"
  type: "Convolution"
  bottom: "relu_blob8"
  top: "conv_blob9"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm9"
  type: "BatchNorm"
  bottom: "conv_blob9"
  top: "batch_norm_blob9"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale9"
  type: "Scale"
  bottom: "batch_norm_blob9"
  top: "batch_norm_blob9"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu9"
  type: "ReLU"
  bottom: "batch_norm_blob9"
  top: "relu_blob9"
}
layer {
  name: "conv10"
  type: "Convolution"
  bottom: "relu_blob9"
  top: "conv_blob10"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm10"
  type: "BatchNorm"
  bottom: "conv_blob10"
  top: "batch_norm_blob10"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale10"
  type: "Scale"
  bottom: "batch_norm_blob10"
  top: "batch_norm_blob10"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu10"
  type: "ReLU"
  bottom: "batch_norm_blob10"
  top: "relu_blob10"
}
layer {
  name: "conv11"
  type: "Convolution"
  bottom: "relu_blob10"
  top: "conv_blob11"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm11"
  type: "BatchNorm"
  bottom: "conv_blob11"
  top: "batch_norm_blob11"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale11"
  type: "Scale"
  bottom: "batch_norm_blob11"
  top: "batch_norm_blob11"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu11"
  type: "ReLU"
  bottom: "batch_norm_blob11"
  top: "relu_blob11"
}
layer {
  name: "conv12"
  type: "Convolution"
  bottom: "relu_blob11"
  top: "conv_blob12"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm12"
  type: "BatchNorm"
  bottom: "conv_blob12"
  top: "batch_norm_blob12"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale12"
  type: "Scale"
  bottom: "batch_norm_blob12"
  top: "batch_norm_blob12"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu12"
  type: "ReLU"
  bottom: "batch_norm_blob12"
  top: "relu_blob12"
}
layer {
  name: "conv13"
  type: "Convolution"
  bottom: "relu_blob12"
  top: "conv_blob13"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm13"
  type: "BatchNorm"
  bottom: "conv_blob13"
  top: "batch_norm_blob13"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale13"
  type: "Scale"
  bottom: "batch_norm_blob13"
  top: "batch_norm_blob13"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu13"
  type: "ReLU"
  bottom: "batch_norm_blob13"
  top: "relu_blob13"
}
layer {
  name: "conv14"
  type: "Convolution"
  bottom: "relu_blob13"
  top: "conv_blob14"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 2
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm14"
  type: "BatchNorm"
  bottom: "conv_blob14"
  top: "batch_norm_blob14"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale14"
  type: "Scale"
  bottom: "batch_norm_blob14"
  top: "batch_norm_blob14"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu14"
  type: "ReLU"
  bottom: "batch_norm_blob14"
  top: "relu_blob14"
}
layer {
  name: "conv15"
  type: "Convolution"
  bottom: "relu_blob14"
  top: "conv_blob15"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm15"
  type: "BatchNorm"
  bottom: "conv_blob15"
  top: "batch_norm_blob15"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale15"
  type: "Scale"
  bottom: "batch_norm_blob15"
  top: "batch_norm_blob15"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu15"
  type: "ReLU"
  bottom: "batch_norm_blob15"
  top: "relu_blob15"
}
layer {
  name: "conv16"
  type: "Convolution"
  bottom: "relu_blob15"
  top: "conv_blob16"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm16"
  type: "BatchNorm"
  bottom: "conv_blob16"
  top: "batch_norm_blob16"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale16"
  type: "Scale"
  bottom: "batch_norm_blob16"
  top: "batch_norm_blob16"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu16"
  type: "ReLU"
  bottom: "batch_norm_blob16"
  top: "relu_blob16"
}
layer {
  name: "conv17"
  type: "Convolution"
  bottom: "relu_blob16"
  top: "conv_blob17"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm17"
  type: "BatchNorm"
  bottom: "conv_blob17"
  top: "batch_norm_blob17"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale17"
  type: "Scale"
  bottom: "batch_norm_blob17"
  top: "batch_norm_blob17"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu17"
  type: "ReLU"
  bottom: "batch_norm_blob17"
  top: "relu_blob17"
}
layer {
  name: "conv18"
  type: "Convolution"
  bottom: "relu_blob17"
  top: "conv_blob18"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm18"
  type: "BatchNorm"
  bottom: "conv_blob18"
  top: "batch_norm_blob18"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale18"
  type: "Scale"
  bottom: "batch_norm_blob18"
  top: "batch_norm_blob18"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu18"
  type: "ReLU"
  bottom: "batch_norm_blob18"
  top: "relu_blob18"
}
layer {
  name: "conv19"
  type: "Convolution"
  bottom: "relu_blob18"
  top: "conv_blob19"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm19"
  type: "BatchNorm"
  bottom: "conv_blob19"
  top: "batch_norm_blob19"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale19"
  type: "Scale"
  bottom: "batch_norm_blob19"
  top: "batch_norm_blob19"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu19"
  type: "ReLU"
  bottom: "batch_norm_blob19"
  top: "relu_blob19"
}
layer {
  name: "conv20"
  type: "Convolution"
  bottom: "relu_blob19"
  top: "conv_blob20"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "xavier"
    }
    engine: CAFFE
    dilation: 1
  }
}
layer {
  name: "batch_norm20"
  type: "BatchNorm"
  bottom: "conv_blob20"
  top: "batch_norm_blob20"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale20"
  type: "Scale"
  bottom: "batch_norm_blob20"
  top: "batch_norm_blob20"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu20"
  type: "ReLU"
  bottom: "batch_norm_blob20"
  top: "relu_blob20"
}
layer {
  name: "conv21"
  type: "Convolution"
  bottom: "relu_blob20"
  top: "conv_blob21"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm21"
  type: "BatchNorm"
  bottom: "conv_blob21"
  top: "batch_norm_blob21"
  batch_norm_param {
    use_global_stats: true
    eps: 9.999999747378752e-06
  }
}
layer {
  name: "bn_scale21"
  type: "Scale"
  bottom: "batch_norm_blob21"
  top: "batch_norm_blob21"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu21"
  type: "ReLU"
  bottom: "batch_norm_blob21"
  top: "relu_blob21"
}
layer {
  name: "view1"
  type: "Reshape"
  bottom: "relu_blob21"
  top: "view_blob1"
  reshape_param {
    shape {
      dim: 0
      dim: -1
    }
  }
}
layer {
  name: "fc1"
  type: "InnerProduct"
  bottom: "view_blob1"
  top: "fc_blob1"
  inner_product_param {
    num_output: 256
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}