img_layers.protostr

type: "nn"
layers {
  name: "image"
  type: "data"
  size: 65536
  active_type: ""
}
layers {
  name: "__conv_0__"
  type: "exconv"
  size: 3297856
  active_type: ""
  inputs {
    input_layer_name: "image"
    input_parameter_name: "___conv_0__.w0"
    conv_conf {
      filter_size: 32
      channels: 1
      stride: 1
      padding: 1
      groups: 1
      filter_channels: 1
      output_x: 227
      img_size: 256
      caffe_mode: true
      filter_size_y: 32
      padding_y: 1
      stride_y: 1
    }
  }
  bias_parameter_name: "___conv_0__.wbias"
  num_filters: 64
  shared_biases: true
}
layers {
  name: "__batch_norm_0__"
  type: "batch_norm"
  size: 3297856
  active_type: "relu"
  inputs {
    input_layer_name: "__conv_0__"
    input_parameter_name: "___batch_norm_0__.w0"
    image_conf {
      channels: 64
      img_size: 227
    }
  }
  inputs {
    input_layer_name: "__conv_0__"
    input_parameter_name: "___batch_norm_0__.w1"
  }
  inputs {
    input_layer_name: "__conv_0__"
    input_parameter_name: "___batch_norm_0__.w2"
  }
  bias_parameter_name: "___batch_norm_0__.wbias"
  moving_average_fraction: 0.9
}
layers {
  name: "__crmnorm_0__"
  type: "norm"
  size: 3297856
  active_type: ""
  inputs {
    input_layer_name: "__batch_norm_0__"
    norm_conf {
      norm_type: "cmrnorm-projection"
      channels: 64
      size: 32
      scale: 0.0004
      pow: 0.75
      output_x: 227
      img_size: 227
      blocked: false
    }
  }
}
layers {
  name: "__pool_0__"
  type: "pool"
  size: 2458624
  active_type: ""
  inputs {
    input_layer_name: "__conv_0__"
    pool_conf {
      pool_type: "max-projection"
      channels: 64
      size_x: 32
      stride: 1
      output_x: 196
      img_size: 227
      padding: 0
      size_y: 32
      stride_y: 1
      output_y: 196
      img_size_y: 227
      padding_y: 0
    }
  }
}
parameters {
  name: "___conv_0__.w0"
  size: 65536
  initial_mean: 0.0
  initial_std: 0.0441941738242
  initial_strategy: 0
  initial_smart: false
}
parameters {
  name: "___conv_0__.wbias"
  size: 64
  initial_mean: 0.0
  initial_std: 0.0
  dims: 64
  dims: 1
  initial_strategy: 0
  initial_smart: false
}
parameters {
  name: "___batch_norm_0__.w0"
  size: 64
  initial_mean: 1.0
  initial_std: 0.0
  initial_strategy: 0
  initial_smart: false
}
parameters {
  name: "___batch_norm_0__.w1"
  size: 64
  initial_mean: 0.0
  initial_std: 0.0
  dims: 1
  dims: 64
  initial_strategy: 0
  initial_smart: false
  is_static: true
  is_shared: true
}
parameters {
  name: "___batch_norm_0__.w2"
  size: 64
  initial_mean: 0.0
  initial_std: 0.0
  dims: 1
  dims: 64
  initial_strategy: 0
  initial_smart: false
  is_static: true
  is_shared: true
}
parameters {
  name: "___batch_norm_0__.wbias"
  size: 64
  initial_mean: 0.0
  initial_std: 0.0
  dims: 1
  dims: 64
  initial_strategy: 0
  initial_smart: false
}
input_layer_names: "image"
output_layer_names: "__pool_0__"
output_layer_names: "__crmnorm_0__"
sub_models {
  name: "root"
  layer_names: "image"
  layer_names: "__conv_0__"
  layer_names: "__batch_norm_0__"
  layer_names: "__crmnorm_0__"
  layer_names: "__pool_0__"
  input_layer_names: "image"
  output_layer_names: "__pool_0__"
  output_layer_names: "__crmnorm_0__"
  is_recurrent_layer_group: false
}