type: "nn"
layers {
  name: "data"
  type: "data"
  size: 2016
  active_type: ""
  height: 48
  width: 42
}
layers {
  name: "__conv_0__"
  type: "exconv"
  size: 32256
  active_type: ""
  inputs {
    input_layer_name: "data"
    input_parameter_name: "___conv_0__.w0"
    conv_conf {
      filter_size: 3
      channels: 1
      stride: 1
      padding: 1
      groups: 1
      filter_channels: 1
      output_x: 42
      img_size: 42
      caffe_mode: true
      filter_size_y: 3
      padding_y: 1
      stride_y: 1
      output_y: 48
      img_size_y: 48
    }
  }
  bias_parameter_name: "___conv_0__.wbias"
  num_filters: 16
  shared_biases: true
  height: 48
  width: 42
}
layers {
  name: "__pool_0__"
  type: "pool"
  size: 8064
  active_type: ""
  inputs {
    input_layer_name: "__conv_0__"
    pool_conf {
      pool_type: "max-projection"
      channels: 16
      size_x: 2
      stride: 2
      output_x: 21
      img_size: 42
      padding: 0
      size_y: 2
      stride_y: 2
      output_y: 24
      img_size_y: 48
      padding_y: 0
    }
  }
  height: 24
  width: 21
}
layers {
  name: "__pad_0__"
  type: "pad"
  size: 14175
  active_type: ""
  inputs {
    input_layer_name: "__pool_0__"
    pad_conf {
      image_conf {
        channels: 16
        img_size: 21
        img_size_y: 24
      }
      pad_c: 2
      pad_c: 3
      pad_h: 1
      pad_h: 2
      pad_w: 3
      pad_w: 1
    }
  }
  height: 27
  width: 25
}
parameters {
  name: "___conv_0__.w0"
  size: 144
  initial_mean: 0.0
  initial_std: 0.471404520791
  initial_strategy: 0
  initial_smart: false
}
parameters {
  name: "___conv_0__.wbias"
  size: 16
  initial_mean: 0.0
  initial_std: 0.0
  dims: 16
  dims: 1
  initial_strategy: 0
  initial_smart: false
}
input_layer_names: "data"
output_layer_names: "__pad_0__"
sub_models {
  name: "root"
  layer_names: "data"
  layer_names: "__conv_0__"
  layer_names: "__pool_0__"
  layer_names: "__pad_0__"
  input_layer_names: "data"
  output_layer_names: "__pad_0__"
  is_recurrent_layer_group: false
}

