blaze.prototxt.txt

name: "BlazeFace"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 128
input_dim: 128

layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv1/bn"
  type: "BatchNorm"
  bottom: "conv1"
  top: "conv1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "conv1/scale"
  type: "Scale"
  bottom: "conv1/bn"
  top: "conv1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "conv1/bn"
  top: "conv1/bn"
}

#first single blaze block

layer {
  name: "sblaze_1/dw"
  type: "Convolution"
  bottom: "conv1/bn"
  top: "sblaze_1/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "sblaze_1/dw/bn"
  type: "BatchNorm"
  bottom: "sblaze_1/dw"
  top: "sblaze_1/dw/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "sblaze_1/dw/scale"
  type: "Scale"
  bottom: "sblaze_1/dw/bn"
  top: "sblaze_1/dw/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_1/linear"
  type: "Convolution"
  bottom: "sblaze_1/dw/bn"
  top: "sblaze_1/linear"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "sblaze_1/linear/bn"
  type: "BatchNorm"
  bottom: "sblaze_1/linear"
  top: "sblaze_1/linear/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "sblaze_1/linear/scale"
  type: "Scale"
  bottom: "sblaze_1/linear/bn"
  top: "sblaze_1/linear/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_block_1"
  type: "Eltwise"
  bottom: "conv1/bn"
  bottom: "sblaze_1/linear/bn"
  top: "sblaze_block_1"
}

layer {
  name: "relu2"
  type: "ReLU"
  bottom: "sblaze_block_1"
  top: "sblaze_block_1"
}

#second single blaze block

layer {
  name: "sblaze_2/dw"
  type: "Convolution"
  bottom: "sblaze_block_1"
  top: "sblaze_2/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "sblaze_2/dw/bn"
  type: "BatchNorm"
  bottom: "sblaze_2/dw"
  top: "sblaze_2/dw/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "sblaze_2/dw/scale"
  type: "Scale"
  bottom: "sblaze_2/dw/bn"
  top: "sblaze_2/dw/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_2/linear"
  type: "Convolution"
  bottom: "sblaze_2/dw/bn"
  top: "sblaze_2/linear"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "sblaze_2/linear/bn"
  type: "BatchNorm"
  bottom: "sblaze_2/linear"
  top: "sblaze_2/linear/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "sblaze_2/linear/scale"
  type: "Scale"
  bottom: "sblaze_2/linear/bn"
  top: "sblaze_2/linear/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_block_2"
  type: "Eltwise"
  bottom: "sblaze_block_1"
  bottom: "sblaze_2/linear/bn"
  top: "sblaze_block_2"
}

layer {
  name: "relu3"
  type: "ReLU"
  bottom: "sblaze_block_2"
  top: "sblaze_block_2"
}

#thrid single blaze block

layer {
  name: "sblaze_3/dw"
  type: "Convolution"
  bottom: "sblaze_block_2"
  top: "sblaze_3/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    stride: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "sblaze_3/dw/bn"
  type: "BatchNorm"
  bottom: "sblaze_3/dw"
  top: "sblaze_3/dw/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "sblaze_3/dw/scale"
  type: "Scale"
  bottom: "sblaze_3/dw/bn"
  top: "sblaze_3/dw/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_3/linear"
  type: "Convolution"
  bottom: "sblaze_3/dw/bn"
  top: "sblaze_3/linear"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 48
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "sblaze_3/linear/bn"
  type: "BatchNorm"
  bottom: "sblaze_3/linear"
  top: "sblaze_3/linear/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "sblaze_3/linear/scale"
  type: "Scale"
  bottom: "sblaze_3/linear/bn"
  top: "sblaze_3/linear/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_3/pool"
  type: "Pooling"
  bottom: "sblaze_block_2"
  top: "sblaze_3/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}

layer {
  name: "sblaze_3/pad"
  type: "Convolution"
  bottom: "sblaze_3/pool"
  top: "sblaze_3/pad"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 48
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "sblaze_3/pad/bn"
  type: "BatchNorm"
  bottom: "sblaze_3/pad"
  top: "sblaze_3/pad/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "sblaze_3/pad/scale"
  type: "Scale"
  bottom: "sblaze_3/pad/bn"
  top: "sblaze_3/pad/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_block_3"
  type: "Eltwise"
  bottom: "sblaze_3/linear/bn"
  bottom: "sblaze_3/pad/bn"
  top: "sblaze_block_3"
}

layer {
  name: "relu4"
  type: "ReLU"
  bottom: "sblaze_block_3"
  top: "sblaze_block_3"
}

#forth single blaze block

layer {
  name: "sblaze_4/dw"
  type: "Convolution"
  bottom: "sblaze_block_3"
  top: "sblaze_4/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "sblaze_4/dw/bn"
  type: "BatchNorm"
  bottom: "sblaze_4/dw"
  top: "sblaze_4/dw/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "sblaze_4/dw/scale"
  type: "Scale"
  bottom: "sblaze_4/dw/bn"
  top: "sblaze_4/dw/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_4/linear"
  type: "Convolution"
  bottom: "sblaze_4/dw/bn"
  top: "sblaze_4/linear"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 48
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "sblaze_4/linear/bn"
  type: "BatchNorm"
  bottom: "sblaze_4/linear"
  top: "sblaze_4/linear/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "sblaze_4/linear/scale"
  type: "Scale"
  bottom: "sblaze_4/linear/bn"
  top: "sblaze_4/linear/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_block_4"
  type: "Eltwise"
  bottom: "sblaze_block_3"
  bottom: "sblaze_4/linear/bn"
  top: "sblaze_block_4"
}

layer {
  name: "relu4"
  type: "ReLU"
  bottom: "sblaze_block_4"
  top: "sblaze_block_4"
}

#fifth single blaze block

layer {
  name: "sblaze_5/dw"
  type: "Convolution"
  bottom: "sblaze_block_4"
  top: "sblaze_5/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 48
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "sblaze_5/dw/bn"
  type: "BatchNorm"
  bottom: "sblaze_5/dw"
  top: "sblaze_5/dw/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "sblaze_5/dw/scale"
  type: "Scale"
  bottom: "sblaze_5/dw/bn"
  top: "sblaze_5/dw/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_5/linear"
  type: "Convolution"
  bottom: "sblaze_5/dw/bn"
  top: "sblaze_5/linear"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 48
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "sblaze_5/linear/bn"
  type: "BatchNorm"
  bottom: "sblaze_5/linear"
  top: "sblaze_5/linear/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "sblaze_5/linear/scale"
  type: "Scale"
  bottom: "sblaze_5/linear/bn"
  top: "sblaze_5/linear/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "sblaze_block_5"
  type: "Eltwise"
  bottom: "sblaze_block_4"
  bottom: "sblaze_5/linear/bn"
  top: "sblaze_block_5"
}

layer {
  name: "relu5"
  type: "ReLU"
  bottom: "sblaze_block_5"
  top: "sblaze_block_5"
}

#first dobule blaze block

layer {
  name: "dblaze_1/dw_1"
  type: "Convolution"
  bottom: "sblaze_block_5"
  top: "dblaze_1/dw_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 48
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 48
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_1/dw_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_1/dw_1"
  top: "dblaze_1/dw_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_1/dw_1/scale"
  type: "Scale"
  bottom: "dblaze_1/dw_1/bn"
  top: "dblaze_1/dw_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_1/linear_1"
  type: "Convolution"
  bottom: "dblaze_1/dw_1/bn"
  top: "dblaze_1/linear_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_1/linear_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_1/linear_1"
  top: "dblaze_1/linear_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_1/linear_1/scale"
  type: "Scale"
  bottom: "dblaze_1/linear_1/bn"
  top: "dblaze_1/linear_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}


layer {
  name: "dblaze_1/dw_2"
  type: "Convolution"
  bottom: "dblaze_1/linear_1/bn"
  top: "dblaze_1/dw_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_1/dw_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_1/dw_2"
  top: "dblaze_1/dw_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_1/dw_2/scale"
  type: "Scale"
  bottom: "dblaze_1/dw_2/bn"
  top: "dblaze_1/dw_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_1/linear_2"
  type: "Convolution"
  bottom: "dblaze_1/dw_2/bn"
  top: "dblaze_1/linear_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_1/linear_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_1/linear_2"
  top: "dblaze_1/linear_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_1/linear_2/scale"
  type: "Scale"
  bottom: "dblaze_1/linear_2/bn"
  top: "dblaze_1/linear_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_1/pool"
  type: "Pooling"
  bottom: "sblaze_block_5"
  top: "dblaze_1/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}

layer {
  name: "dblaze_1/pad"
  type: "Convolution"
  bottom: "dblaze_1/pool"
  top: "dblaze_1/pad"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_1/pad/bn"
  type: "BatchNorm"
  bottom: "dblaze_1/pad"
  top: "dblaze_1/pad/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_1/pad/scale"
  type: "Scale"
  bottom: "dblaze_1/pad/bn"
  top: "dblaze_1/pad/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_block_1"
  type: "Eltwise"
  bottom: "dblaze_1/linear_2/bn"
  bottom: "dblaze_1/pad/bn"
  top: "dblaze_block_1"
}

layer {
  name: "relu5"
  type: "ReLU"
  bottom: "dblaze_block_1"
  top: "dblaze_block_1"
}

#second double blaze block

layer {
  name: "dblaze_2/dw_1"
  type: "Convolution"
  bottom: "dblaze_block_1"
  top: "dblaze_2/dw_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_2/dw_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_2/dw_1"
  top: "dblaze_2/dw_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_2/dw_1/scale"
  type: "Scale"
  bottom: "dblaze_2/dw_1/bn"
  top: "dblaze_2/dw_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_2/linear_1"
  type: "Convolution"
  bottom: "dblaze_2/dw_1/bn"
  top: "dblaze_2/linear_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_2/linear_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_2/linear_1"
  top: "dblaze_2/linear_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_2/linear_1/scale"
  type: "Scale"
  bottom: "dblaze_2/linear_1/bn"
  top: "dblaze_2/linear_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_2/dw_2"
  type: "Convolution"
  bottom: "dblaze_2/linear_1/bn"
  top: "dblaze_2/dw_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_2/dw_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_2/dw_2"
  top: "dblaze_2/dw_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_2/dw_2/scale"
  type: "Scale"
  bottom: "dblaze_2/dw_2/bn"
  top: "dblaze_2/dw_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_2/linear_2"
  type: "Convolution"
  bottom: "dblaze_2/dw_2/bn"
  top: "dblaze_2/linear_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_2/linear_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_2/linear_2"
  top: "dblaze_2/linear_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_2/linear_2/scale"
  type: "Scale"
  bottom: "dblaze_2/linear_2/bn"
  top: "dblaze_2/linear_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_block_2"
  type: "Eltwise"
  bottom: "dblaze_2/linear_2/bn"
  bottom: "dblaze_block_1"
  top: "dblaze_block_2"
}

layer {
  name: "relu6"
  type: "ReLU"
  bottom: "dblaze_block_2"
  top: "dblaze_block_2"
}

#third double blaze block

layer {
  name: "dblaze_3/dw_1"
  type: "Convolution"
  bottom: "dblaze_block_2"
  top: "dblaze_3/dw_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_3/dw_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_3/dw_1"
  top: "dblaze_3/dw_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_3/dw_1/scale"
  type: "Scale"
  bottom: "dblaze_3/dw_1/bn"
  top: "dblaze_3/dw_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_3/linear_1"
  type: "Convolution"
  bottom: "dblaze_3/dw_1/bn"
  top: "dblaze_3/linear_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_3/linear_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_3/linear_1"
  top: "dblaze_3/linear_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_3/linear_1/scale"
  type: "Scale"
  bottom: "dblaze_3/linear_1/bn"
  top: "dblaze_3/linear_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_3/dw_2"
  type: "Convolution"
  bottom: "dblaze_3/linear_1/bn"
  top: "dblaze_3/dw_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_3/dw_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_3/dw_2"
  top: "dblaze_3/dw_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_3/dw_2/scale"
  type: "Scale"
  bottom: "dblaze_3/dw_2/bn"
  top: "dblaze_3/dw_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_3/linear_2"
  type: "Convolution"
  bottom: "dblaze_3/dw_2/bn"
  top: "dblaze_3/linear_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_3/linear_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_3/linear_2"
  top: "dblaze_3/linear_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_3/linear_2/scale"
  type: "Scale"
  bottom: "dblaze_3/linear_2/bn"
  top: "dblaze_3/linear_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_block_3"
  type: "Eltwise"
  bottom: "dblaze_3/linear_2/bn"
  bottom: "dblaze_block_2"
  top: "dblaze_block_3"
}

layer {
  name: "relu7"
  type: "ReLU"
  bottom: "dblaze_block_3"
  top: "dblaze_block_3"
}

#forth double blaze block

layer {
  name: "dblaze_4/dw_1"
  type: "Convolution"
  bottom: "dblaze_block_3"
  top: "dblaze_4/dw_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 96
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_4/dw_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_4/dw_1"
  top: "dblaze_4/dw_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_4/dw_1/scale"
  type: "Scale"
  bottom: "dblaze_4/dw_1/bn"
  top: "dblaze_4/dw_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_4/linear_1"
  type: "Convolution"
  bottom: "dblaze_4/dw_1/bn"
  top: "dblaze_4/linear_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_4/linear_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_4/linear_1"
  top: "dblaze_4/linear_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_4/linear_1/scale"
  type: "Scale"
  bottom: "dblaze_4/linear_1/bn"
  top: "dblaze_4/linear_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}


layer {
  name: "dblaze_4/dw_2"
  type: "Convolution"
  bottom: "dblaze_4/linear_1/bn"
  top: "dblaze_4/dw_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_4/dw_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_4/dw_2"
  top: "dblaze_4/dw_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_4/dw_2/scale"
  type: "Scale"
  bottom: "dblaze_4/dw_2/bn"
  top: "dblaze_4/dw_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_4/linear_2"
  type: "Convolution"
  bottom: "dblaze_4/dw_2/bn"
  top: "dblaze_4/linear_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_4/linear_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_4/linear_2"
  top: "dblaze_4/linear_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_4/linear_2/scale"
  type: "Scale"
  bottom: "dblaze_4/linear_2/bn"
  top: "dblaze_4/linear_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_4/pool"
  type: "Pooling"
  bottom: "dblaze_block_3"
  top: "dblaze_4/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}

layer {
  name: "dblaze_4/pad"
  type: "Convolution"
  bottom: "dblaze_4/pool"
  top: "dblaze_4/pad"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_4/pad/bn"
  type: "BatchNorm"
  bottom: "dblaze_4/pad"
  top: "dblaze_4/pad/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_4/pad/scale"
  type: "Scale"
  bottom: "dblaze_4/pad/bn"
  top: "dblaze_4/pad/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_block_4"
  type: "Eltwise"
  bottom: "dblaze_4/linear_2/bn"
  bottom: "dblaze_4/pad/bn"
  top: "dblaze_block_4"
}

layer {
  name: "relu8"
  type: "ReLU"
  bottom: "dblaze_block_4"
  top: "dblaze_block_4"
}

#fifth double blaze block

layer {
  name: "dblaze_5/dw_1"
  type: "Convolution"
  bottom: "dblaze_block_4"
  top: "dblaze_5/dw_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_5/dw_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_5/dw_1"
  top: "dblaze_5/dw_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_5/dw_1/scale"
  type: "Scale"
  bottom: "dblaze_5/dw_1/bn"
  top: "dblaze_5/dw_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_5/linear_1"
  type: "Convolution"
  bottom: "dblaze_5/dw_1/bn"
  top: "dblaze_5/linear_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_5/linear_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_5/linear_1"
  top: "dblaze_5/linear_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_5/linear_1/scale"
  type: "Scale"
  bottom: "dblaze_5/linear_1/bn"
  top: "dblaze_5/linear_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_5/dw_2"
  type: "Convolution"
  bottom: "dblaze_5/linear_1/bn"
  top: "dblaze_5/dw_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_5/dw_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_5/dw_2"
  top: "dblaze_5/dw_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_5/dw_2/scale"
  type: "Scale"
  bottom: "dblaze_5/dw_2/bn"
  top: "dblaze_5/dw_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_5/linear_2"
  type: "Convolution"
  bottom: "dblaze_5/dw_2/bn"
  top: "dblaze_5/linear_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_5/linear_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_5/linear_2"
  top: "dblaze_5/linear_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_5/linear_2/scale"
  type: "Scale"
  bottom: "dblaze_5/linear_2/bn"
  top: "dblaze_5/linear_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_block_5"
  type: "Eltwise"
  bottom: "dblaze_5/linear_2/bn"
  bottom: "dblaze_block_4"
  top: "dblaze_block_5"
}

layer {
  name: "relu9"
  type: "ReLU"
  bottom: "dblaze_block_5"
  top: "dblaze_block_5"
}

#sixth double blaze block 

layer {
  name: "dblaze_6/dw_1"
  type: "Convolution"
  bottom: "dblaze_block_5"
  top: "dblaze_6/dw_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 48
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_6/dw_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_6/dw_1"
  top: "dblaze_6/dw_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_6/dw_1/scale"
  type: "Scale"
  bottom: "dblaze_6/dw_1/bn"
  top: "dblaze_6/dw_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_6/linear_1"
  type: "Convolution"
  bottom: "dblaze_6/dw_1/bn"
  top: "dblaze_6/linear_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_6/linear_1/bn"
  type: "BatchNorm"
  bottom: "dblaze_6/linear_1"
  top: "dblaze_6/linear_1/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_6/linear_1/scale"
  type: "Scale"
  bottom: "dblaze_6/linear_1/bn"
  top: "dblaze_6/linear_1/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_6/dw_2"
  type: "Convolution"
  bottom: "dblaze_6/linear_1/bn"
  top: "dblaze_6/dw_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 24
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}

layer {
  name: "dblaze_6/dw_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_6/dw_2"
  top: "dblaze_6/dw_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}

layer {
  name: "dblaze_6/dw_2/scale"
  type: "Scale"
  bottom: "dblaze_6/dw_2/bn"
  top: "dblaze_6/dw_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_6/linear_2"
  type: "Convolution"
  bottom: "dblaze_6/dw_2/bn"
  top: "dblaze_6/linear_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "dblaze_6/linear_2/bn"
  type: "BatchNorm"
  bottom: "dblaze_6/linear_2"
  top: "dblaze_6/linear_2/bn"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "dblaze_6/linear_2/scale"
  type: "Scale"
  bottom: "dblaze_6/linear_2/bn"
  top: "dblaze_6/linear_2/bn"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}

layer {
  name: "dblaze_block_6"
  type: "Eltwise"
  bottom: "dblaze_6/linear_2/bn"
  bottom: "dblaze_block_5"
  top: "dblaze_block_6"
}

layer {
  name: "relu10"
  type: "ReLU"
  bottom: "dblaze_block_6"
  top: "dblaze_block_6"
}

layer {
  name: "global_pool"
  type: "Pooling"
  bottom: "dblaze_block_6"
  top: "global_pool"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}

layer {
  name: "fc"
  type: "Convolution"
  bottom: "global_pool"
  top: "fc"
  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
    }
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc"
  top: "prob"
}