input: "img"
input_dim: 1
input_dim: 1
input_dim: 112
input_dim: 112

layer {
  name: "pre_1_conv"
  type: "Convolution"
  bottom: "img"
  top: "pre_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 0
    kernel_size: 5
    stride: 2
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "pre_1_bn"
  type: "BatchNorm"
  bottom: "pre_1_conv"
  top: "pre_1_conv"
}
layer {
  name: "pre_1_scale"
  type: "Scale"
  bottom: "pre_1_conv"
  top: "pre_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "pre_1_relu"
  type: "ReLU"
  bottom: "pre_1_conv"
  top: "pre_1_conv"
}
layer {
  name: "pre_2_conv"
  type: "Convolution"
  bottom: "pre_1_conv"
  top: "pre_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "pre_2_bn"
  type: "BatchNorm"
  bottom: "pre_2_conv"
  top: "pre_2_conv"
}
layer {
  name: "pre_2_scale"
  type: "Scale"
  bottom: "pre_2_conv"
  top: "pre_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "pre_2_relu"
  type: "ReLU"
  bottom: "pre_2_conv"
  top: "pre_2_conv"
}
layer {
  name: "pre_pool"
  type: "Pooling"
  bottom: "pre_2_conv"
  top: "pre_pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage_1_1_conv"
  type: "Convolution"
  bottom: "pre_pool"
  top: "stage_1_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_1_1_bn"
  type: "BatchNorm"
  bottom: "stage_1_1_conv"
  top: "stage_1_1_conv"
}
layer {
  name: "stage_1_1_scale"
  type: "Scale"
  bottom: "stage_1_1_conv"
  top: "stage_1_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_1_1_relu"
  type: "ReLU"
  bottom: "stage_1_1_conv"
  top: "stage_1_1_conv"
}
layer {
  name: "stage_1_2_conv"
  type: "Convolution"
  bottom: "stage_1_1_conv"
  top: "stage_1_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_1_2_bn"
  type: "BatchNorm"
  bottom: "stage_1_2_conv"
  top: "stage_1_2_conv"
}
layer {
  name: "stage_1_2_scale"
  type: "Scale"
  bottom: "stage_1_2_conv"
  top: "stage_1_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_1_2_relu"
  type: "ReLU"
  bottom: "stage_1_2_conv"
  top: "stage_1_2_conv"
}
layer {
  name: "stage_1_pool"
  type: "Pooling"
  bottom: "stage_1_2_conv"
  top: "stage_1_pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage_2_1_conv"
  type: "Convolution"
  bottom: "stage_1_pool"
  top: "stage_2_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_2_1_bn"
  type: "BatchNorm"
  bottom: "stage_2_1_conv"
  top: "stage_2_1_conv"
}
layer {
  name: "stage_2_1_scale"
  type: "Scale"
  bottom: "stage_2_1_conv"
  top: "stage_2_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_2_1_relu"
  type: "ReLU"
  bottom: "stage_2_1_conv"
  top: "stage_2_1_conv"
}
layer {
  name: "stage_2_2_conv"
  type: "Convolution"
  bottom: "stage_2_1_conv"
  top: "stage_2_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_2_2_bn"
  type: "BatchNorm"
  bottom: "stage_2_2_conv"
  top: "stage_2_2_conv"
}
layer {
  name: "stage_2_2_scale"
  type: "Scale"
  bottom: "stage_2_2_conv"
  top: "stage_2_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_2_2_relu"
  type: "ReLU"
  bottom: "stage_2_2_conv"
  top: "stage_2_2_conv"
}
layer {
  name: "stage_2_pool"
  type: "Pooling"
  bottom: "stage_2_2_conv"
  top: "stage_2_pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "stage_3_1_conv"
  type: "Convolution"
  bottom: "stage_2_pool"
  top: "stage_3_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_3_1_bn"
  type: "BatchNorm"
  bottom: "stage_3_1_conv"
  top: "stage_3_1_conv"
}
layer {
  name: "stage_3_1_scale"
  type: "Scale"
  bottom: "stage_3_1_conv"
  top: "stage_3_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_3_1_relu"
  type: "ReLU"
  bottom: "stage_3_1_conv"
  top: "stage_3_1_conv"
}
layer {
  name: "stage_3_2_conv"
  type: "Convolution"
  bottom: "stage_3_1_conv"
  top: "stage_3_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_3_2_bn"
  type: "BatchNorm"
  bottom: "stage_3_2_conv"
  top: "stage_3_2_conv"
}
layer {
  name: "stage_3_2_scale"
  type: "Scale"
  bottom: "stage_3_2_conv"
  top: "stage_3_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_3_2_relu"
  type: "ReLU"
  bottom: "stage_3_2_conv"
  top: "stage_3_2_conv"
}
layer {
  name: "stage_3_pool"
  type: "Pooling"
  bottom: "stage_3_2_conv"
  top: "stage_3_pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "stage_4_1_conv"
  type: "Convolution"
  bottom: "stage_3_pool"
  top: "stage_4_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_4_1_bn"
  type: "BatchNorm"
  bottom: "stage_4_1_conv"
  top: "stage_4_1_conv"
}
layer {
  name: "stage_4_1_scale"
  type: "Scale"
  bottom: "stage_4_1_conv"
  top: "stage_4_1_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_4_1_relu1"
  type: "ReLU"
  bottom: "stage_4_1_conv"
  top: "stage_4_1_conv"
}
layer {
  name: "stage_4_2_conv"
  type: "Convolution"
  bottom: "stage_4_1_conv"
  top: "stage_4_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_4_2_bn"
  type: "BatchNorm"
  bottom: "stage_4_2_conv"
  top: "stage_4_2_conv"
}
layer {
  name: "stage_4_2_scale"
  type: "Scale"
  bottom: "stage_4_2_conv"
  top: "stage_4_2_conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  scale_param {
    bias_term: true
  }
}
layer {
  name: "stage_4_2_relu1"
  type: "ReLU"
  bottom: "stage_4_2_conv"
  top: "stage_4_2_conv"
}
layer {
  name: "stage_4_pool"
  type: "Pooling"
  bottom: "stage_4_2_conv"
  top: "stage_4_pool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "stage_4_1_fc"
  type: "InnerProduct"
  bottom: "stage_4_pool"
  top: "stage_4_1_fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 128
    bias_term: true
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_4_1_relu"
  type: "ReLU"
  bottom: "stage_4_1_fc"
  top: "stage_4_1_fc"
}
layer {
  name: "stage_4_2_fc"
  type: "InnerProduct"
  bottom: "stage_4_1_fc"
  top: "stage_4_2_fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 128
    bias_term: true
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "stage_4_2_relu"
  type: "ReLU"
  bottom: "stage_4_2_fc"
  top: "stage_4_2_fc"
}
layer {
  name: "shape_81"
  type: "InnerProduct"
  bottom: "stage_4_2_fc"
  top: "shape_81"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 10
    bias_term: true
    weight_filler {
      type: "gaussian"
      mean: 0
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}