test_maxout.protostr

type: "nn"
layers {
  name: "data"
  type: "data"
  size: 2304
  active_type: ""
  height: 48
  width: 48
}
layers {
  name: "__conv_0__"
  type: "exconv"
  size: 36864
  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: 48
      img_size: 48
      caffe_mode: true
      filter_size_y: 3
      padding_y: 1
      stride_y: 1
      output_y: 48
      img_size_y: 48
      dilation: 1
      dilation_y: 1
    }
  }
  bias_parameter_name: "___conv_0__.wbias"
  num_filters: 16
  shared_biases: true
  height: 48
  width: 48
}
layers {
  name: "__maxout_layer_0__"
  type: "maxout"
  size: 18432
  active_type: ""
  inputs {
    input_layer_name: "__conv_0__"
    maxout_conf {
      image_conf {
        channels: 16
        img_size: 48
        img_size_y: 48
      }
      groups: 2
    }
  }
  height: 48
  width: 48
}
layers {
  name: "__pool_0__"
  type: "pool"
  size: 4608
  active_type: ""
  inputs {
    input_layer_name: "__maxout_layer_0__"
    pool_conf {
      pool_type: "max-projection"
      channels: 8
      size_x: 2
      stride: 2
      output_x: 24
      img_size: 48
      padding: 0
      size_y: 2
      stride_y: 2
      output_y: 24
      img_size_y: 48
      padding_y: 0
    }
  }
  height: 24
  width: 24
}
layers {
  name: "__conv_1__"
  type: "exconv"
  size: 73728
  active_type: ""
  inputs {
    input_layer_name: "__pool_0__"
    input_parameter_name: "___conv_1__.w0"
    conv_conf {
      filter_size: 3
      channels: 8
      stride: 1
      padding: 1
      groups: 1
      filter_channels: 8
      output_x: 24
      img_size: 24
      caffe_mode: true
      filter_size_y: 3
      padding_y: 1
      stride_y: 1
      output_y: 24
      img_size_y: 24
      dilation: 1
      dilation_y: 1
    }
  }
  bias_parameter_name: "___conv_1__.wbias"
  num_filters: 128
  shared_biases: true
  height: 24
  width: 24
}
layers {
  name: "__maxout_layer_1__"
  type: "maxout"
  size: 18432
  active_type: ""
  inputs {
    input_layer_name: "__conv_1__"
    maxout_conf {
      image_conf {
        channels: 128
        img_size: 24
        img_size_y: 24
      }
      groups: 4
    }
  }
  height: 24
  width: 24
}
layers {
  name: "__block_expand_layer_0__"
  type: "blockexpand"
  size: 192
  active_type: ""
  inputs {
    input_layer_name: "__maxout_layer_1__"
    block_expand_conf {
      channels: 32
      stride_x: 1
      stride_y: 1
      padding_x: 0
      padding_y: 0
      block_x: 1
      block_y: 6
      output_x: 0
      output_y: 0
      img_size_x: 0
      img_size_y: 0
    }
  }
}
layers {
  name: "__fc_layer_0__"
  type: "fc"
  size: 384
  active_type: "tanh"
  inputs {
    input_layer_name: "__block_expand_layer_0__"
    input_parameter_name: "___fc_layer_0__.w0"
  }
}
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
}
parameters {
  name: "___conv_1__.w0"
  size: 9216
  initial_mean: 0.0
  initial_std: 0.166666666667
  initial_strategy: 0
  initial_smart: false
}
parameters {
  name: "___conv_1__.wbias"
  size: 128
  initial_mean: 0.0
  initial_std: 0.0
  dims: 128
  dims: 1
  initial_strategy: 0
  initial_smart: false
}
parameters {
  name: "___fc_layer_0__.w0"
  size: 73728
  initial_mean: 0.0
  initial_std: 0.0721687836487
  dims: 192
  dims: 384
  initial_strategy: 0
  initial_smart: true
}
input_layer_names: "data"
output_layer_names: "__fc_layer_0__"
sub_models {
  name: "root"
  layer_names: "data"
  layer_names: "__conv_0__"
  layer_names: "__maxout_layer_0__"
  layer_names: "__pool_0__"
  layer_names: "__conv_1__"
  layer_names: "__maxout_layer_1__"
  layer_names: "__block_expand_layer_0__"
  layer_names: "__fc_layer_0__"
  input_layer_names: "data"
  output_layer_names: "__fc_layer_0__"
  is_recurrent_layer_group: false
}