engine: "MKL2017"
name: "SqueezeNet 1.1"
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    scale: 0.0078125
    crop_size: 227
    mean_value: 104
    mean_value: 117
    mean_value: 123
  }
  data_param {
    source: "/localdisk/imagenet/compressed_lmdb/ilsvrc12_train_lmdb"
    batch_size: 32
    backend: LMDB
    prefetch: 2
    shuffle: true
  }
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TEST
  }
  transform_param {
    scale: 0.0078125
    crop_size: 227
    mean_value: 104
    mean_value: 117
    mean_value: 123
  }
  data_param {
    source: "/localdisk/imagenet/compressed_lmdb/ilsvrc12_val_lmdb"
    batch_size: 50
    backend: LMDB
  }
}layer {
  name: "Convolution1"
  type: "Convolution"
  bottom: "data"
  top: "Convolution1"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 7
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm1"
  type: "BatchNorm"
  bottom: "Convolution1"
  top: "Convolution1"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale1"
  type: "Scale"
  bottom: "Convolution1"
  top: "Convolution1"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "conv1"
  type: "ReLU"
  bottom: "Convolution1"
  top: "Convolution1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "Convolution1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "Convolution2"
  type: "Convolution"
  bottom: "pool1"
  top: "Convolution2"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm2"
  type: "BatchNorm"
  bottom: "Convolution2"
  top: "Convolution2"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale2"
  type: "Scale"
  bottom: "Convolution2"
  top: "Convolution2"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU1"
  type: "ReLU"
  bottom: "Convolution2"
  top: "Convolution2"
}
layer {
  name: "Convolution3"
  type: "Convolution"
  bottom: "pool1"
  top: "Convolution3"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm3"
  type: "BatchNorm"
  bottom: "Convolution3"
  top: "Convolution3"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale3"
  type: "Scale"
  bottom: "Convolution3"
  top: "Convolution3"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU2"
  type: "ReLU"
  bottom: "Convolution3"
  top: "Convolution3"
}
layer {
  name: "Convolution4"
  type: "Convolution"
  bottom: "Convolution3"
  top: "Convolution4"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm4"
  type: "BatchNorm"
  bottom: "Convolution4"
  top: "Convolution4"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale4"
  type: "Scale"
  bottom: "Convolution4"
  top: "Convolution4"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU3"
  type: "ReLU"
  bottom: "Convolution4"
  top: "Convolution4"
}
layer {
  name: "Convolution5"
  type: "Convolution"
  bottom: "Convolution4"
  top: "Convolution5"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm5"
  type: "BatchNorm"
  bottom: "Convolution5"
  top: "Convolution5"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale5"
  type: "Scale"
  bottom: "Convolution5"
  top: "Convolution5"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU4"
  type: "ReLU"
  bottom: "Convolution5"
  top: "Convolution5"
}
layer {
  name: "Convolution6"
  type: "Convolution"
  bottom: "Convolution5"
  top: "Convolution6"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm6"
  type: "BatchNorm"
  bottom: "Convolution6"
  top: "Convolution6"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale6"
  type: "Scale"
  bottom: "Convolution6"
  top: "Convolution6"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU5"
  type: "ReLU"
  bottom: "Convolution6"
  top: "Convolution6"
}
layer {
  name: "Convolution7"
  type: "Convolution"
  bottom: "Convolution6"
  top: "Convolution7"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm7"
  type: "BatchNorm"
  bottom: "Convolution7"
  top: "Convolution7"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale7"
  type: "Scale"
  bottom: "Convolution7"
  top: "Convolution7"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU6"
  type: "ReLU"
  bottom: "Convolution7"
  top: "Convolution7"
}
layer {
  name: "Eltwise1"
  type: "Eltwise"
  bottom: "Convolution2"
  bottom: "Convolution7"
  top: "Eltwise1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU7"
  type: "ReLU"
  bottom: "Eltwise1"
  top: "Eltwise1"
}
layer {
  name: "Convolution8"
  type: "Convolution"
  bottom: "Eltwise1"
  top: "Convolution8"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm8"
  type: "BatchNorm"
  bottom: "Convolution8"
  top: "Convolution8"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale8"
  type: "Scale"
  bottom: "Convolution8"
  top: "Convolution8"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU8"
  type: "ReLU"
  bottom: "Convolution8"
  top: "Convolution8"
}
layer {
  name: "Convolution9"
  type: "Convolution"
  bottom: "Convolution8"
  top: "Convolution9"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm9"
  type: "BatchNorm"
  bottom: "Convolution9"
  top: "Convolution9"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale9"
  type: "Scale"
  bottom: "Convolution9"
  top: "Convolution9"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU9"
  type: "ReLU"
  bottom: "Convolution9"
  top: "Convolution9"
}
layer {
  name: "Convolution10"
  type: "Convolution"
  bottom: "Convolution9"
  top: "Convolution10"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm10"
  type: "BatchNorm"
  bottom: "Convolution10"
  top: "Convolution10"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale10"
  type: "Scale"
  bottom: "Convolution10"
  top: "Convolution10"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU10"
  type: "ReLU"
  bottom: "Convolution10"
  top: "Convolution10"
}
layer {
  name: "Convolution11"
  type: "Convolution"
  bottom: "Convolution10"
  top: "Convolution11"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm11"
  type: "BatchNorm"
  bottom: "Convolution11"
  top: "Convolution11"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale11"
  type: "Scale"
  bottom: "Convolution11"
  top: "Convolution11"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU11"
  type: "ReLU"
  bottom: "Convolution11"
  top: "Convolution11"
}
layer {
  name: "Convolution12"
  type: "Convolution"
  bottom: "Convolution11"
  top: "Convolution12"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm12"
  type: "BatchNorm"
  bottom: "Convolution12"
  top: "Convolution12"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale12"
  type: "Scale"
  bottom: "Convolution12"
  top: "Convolution12"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU12"
  type: "ReLU"
  bottom: "Convolution12"
  top: "Convolution12"
}
layer {
  name: "Eltwise2"
  type: "Eltwise"
  bottom: "Eltwise1"
  bottom: "Convolution12"
  top: "Eltwise2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU13"
  type: "ReLU"
  bottom: "Eltwise2"
  top: "Eltwise2"
}
layer {
  name: "Convolution13"
  type: "Convolution"
  bottom: "Eltwise2"
  top: "Convolution13"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm13"
  type: "BatchNorm"
  bottom: "Convolution13"
  top: "Convolution13"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale13"
  type: "Scale"
  bottom: "Convolution13"
  top: "Convolution13"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU14"
  type: "ReLU"
  bottom: "Convolution13"
  top: "Convolution13"
}
layer {
  name: "Convolution14"
  type: "Convolution"
  bottom: "Convolution13"
  top: "Convolution14"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm14"
  type: "BatchNorm"
  bottom: "Convolution14"
  top: "Convolution14"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale14"
  type: "Scale"
  bottom: "Convolution14"
  top: "Convolution14"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU15"
  type: "ReLU"
  bottom: "Convolution14"
  top: "Convolution14"
}
layer {
  name: "Convolution15"
  type: "Convolution"
  bottom: "Convolution14"
  top: "Convolution15"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm15"
  type: "BatchNorm"
  bottom: "Convolution15"
  top: "Convolution15"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale15"
  type: "Scale"
  bottom: "Convolution15"
  top: "Convolution15"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU16"
  type: "ReLU"
  bottom: "Convolution15"
  top: "Convolution15"
}
layer {
  name: "Convolution16"
  type: "Convolution"
  bottom: "Convolution15"
  top: "Convolution16"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm16"
  type: "BatchNorm"
  bottom: "Convolution16"
  top: "Convolution16"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale16"
  type: "Scale"
  bottom: "Convolution16"
  top: "Convolution16"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU17"
  type: "ReLU"
  bottom: "Convolution16"
  top: "Convolution16"
}
layer {
  name: "Convolution17"
  type: "Convolution"
  bottom: "Convolution16"
  top: "Convolution17"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm17"
  type: "BatchNorm"
  bottom: "Convolution17"
  top: "Convolution17"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale17"
  type: "Scale"
  bottom: "Convolution17"
  top: "Convolution17"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU18"
  type: "ReLU"
  bottom: "Convolution17"
  top: "Convolution17"
}
layer {
  name: "Eltwise3"
  type: "Eltwise"
  bottom: "Eltwise2"
  bottom: "Convolution17"
  top: "Eltwise3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU19"
  type: "ReLU"
  bottom: "Eltwise3"
  top: "Eltwise3"
}
layer {
  name: "Convolution18"
  type: "Convolution"
  bottom: "Eltwise3"
  top: "Convolution18"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm18"
  type: "BatchNorm"
  bottom: "Convolution18"
  top: "Convolution18"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale18"
  type: "Scale"
  bottom: "Convolution18"
  top: "Convolution18"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU20"
  type: "ReLU"
  bottom: "Convolution18"
  top: "Convolution18"
}
layer {
  name: "Convolution19"
  type: "Convolution"
  bottom: "Convolution18"
  top: "Convolution19"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm19"
  type: "BatchNorm"
  bottom: "Convolution19"
  top: "Convolution19"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale19"
  type: "Scale"
  bottom: "Convolution19"
  top: "Convolution19"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU21"
  type: "ReLU"
  bottom: "Convolution19"
  top: "Convolution19"
}
layer {
  name: "Convolution20"
  type: "Convolution"
  bottom: "Convolution19"
  top: "Convolution20"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm20"
  type: "BatchNorm"
  bottom: "Convolution20"
  top: "Convolution20"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale20"
  type: "Scale"
  bottom: "Convolution20"
  top: "Convolution20"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU22"
  type: "ReLU"
  bottom: "Convolution20"
  top: "Convolution20"
}
layer {
  name: "Convolution21"
  type: "Convolution"
  bottom: "Convolution20"
  top: "Convolution21"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm21"
  type: "BatchNorm"
  bottom: "Convolution21"
  top: "Convolution21"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale21"
  type: "Scale"
  bottom: "Convolution21"
  top: "Convolution21"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU23"
  type: "ReLU"
  bottom: "Convolution21"
  top: "Convolution21"
}
layer {
  name: "Convolution22"
  type: "Convolution"
  bottom: "Convolution21"
  top: "Convolution22"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm22"
  type: "BatchNorm"
  bottom: "Convolution22"
  top: "Convolution22"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale22"
  type: "Scale"
  bottom: "Convolution22"
  top: "Convolution22"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU24"
  type: "ReLU"
  bottom: "Convolution22"
  top: "Convolution22"
}
layer {
  name: "Eltwise4"
  type: "Eltwise"
  bottom: "Eltwise3"
  bottom: "Convolution22"
  top: "Eltwise4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU25"
  type: "ReLU"
  bottom: "Eltwise4"
  top: "Eltwise4"
}
layer {
  name: "Convolution23"
  type: "Convolution"
  bottom: "Eltwise4"
  top: "Convolution23"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm23"
  type: "BatchNorm"
  bottom: "Convolution23"
  top: "Convolution23"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale23"
  type: "Scale"
  bottom: "Convolution23"
  top: "Convolution23"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU26"
  type: "ReLU"
  bottom: "Convolution23"
  top: "Convolution23"
}
layer {
  name: "Convolution24"
  type: "Convolution"
  bottom: "Convolution23"
  top: "Convolution24"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm24"
  type: "BatchNorm"
  bottom: "Convolution24"
  top: "Convolution24"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale24"
  type: "Scale"
  bottom: "Convolution24"
  top: "Convolution24"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU27"
  type: "ReLU"
  bottom: "Convolution24"
  top: "Convolution24"
}
layer {
  name: "Convolution25"
  type: "Convolution"
  bottom: "Convolution24"
  top: "Convolution25"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm25"
  type: "BatchNorm"
  bottom: "Convolution25"
  top: "Convolution25"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale25"
  type: "Scale"
  bottom: "Convolution25"
  top: "Convolution25"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU28"
  type: "ReLU"
  bottom: "Convolution25"
  top: "Convolution25"
}
layer {
  name: "Convolution26"
  type: "Convolution"
  bottom: "Convolution25"
  top: "Convolution26"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm26"
  type: "BatchNorm"
  bottom: "Convolution26"
  top: "Convolution26"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale26"
  type: "Scale"
  bottom: "Convolution26"
  top: "Convolution26"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU29"
  type: "ReLU"
  bottom: "Convolution26"
  top: "Convolution26"
}
layer {
  name: "Convolution27"
  type: "Convolution"
  bottom: "Convolution26"
  top: "Convolution27"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm27"
  type: "BatchNorm"
  bottom: "Convolution27"
  top: "Convolution27"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale27"
  type: "Scale"
  bottom: "Convolution27"
  top: "Convolution27"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU30"
  type: "ReLU"
  bottom: "Convolution27"
  top: "Convolution27"
}
layer {
  name: "Eltwise5"
  type: "Eltwise"
  bottom: "Eltwise4"
  bottom: "Convolution27"
  top: "Eltwise5"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU31"
  type: "ReLU"
  bottom: "Eltwise5"
  top: "Eltwise5"
}
layer {
  name: "Convolution28"
  type: "Convolution"
  bottom: "Eltwise5"
  top: "Convolution28"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm28"
  type: "BatchNorm"
  bottom: "Convolution28"
  top: "Convolution28"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale28"
  type: "Scale"
  bottom: "Convolution28"
  top: "Convolution28"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU32"
  type: "ReLU"
  bottom: "Convolution28"
  top: "Convolution28"
}
layer {
  name: "Convolution29"
  type: "Convolution"
  bottom: "Convolution28"
  top: "Convolution29"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm29"
  type: "BatchNorm"
  bottom: "Convolution29"
  top: "Convolution29"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale29"
  type: "Scale"
  bottom: "Convolution29"
  top: "Convolution29"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU33"
  type: "ReLU"
  bottom: "Convolution29"
  top: "Convolution29"
}
layer {
  name: "Convolution30"
  type: "Convolution"
  bottom: "Convolution29"
  top: "Convolution30"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm30"
  type: "BatchNorm"
  bottom: "Convolution30"
  top: "Convolution30"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale30"
  type: "Scale"
  bottom: "Convolution30"
  top: "Convolution30"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU34"
  type: "ReLU"
  bottom: "Convolution30"
  top: "Convolution30"
}
layer {
  name: "Convolution31"
  type: "Convolution"
  bottom: "Convolution30"
  top: "Convolution31"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm31"
  type: "BatchNorm"
  bottom: "Convolution31"
  top: "Convolution31"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale31"
  type: "Scale"
  bottom: "Convolution31"
  top: "Convolution31"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU35"
  type: "ReLU"
  bottom: "Convolution31"
  top: "Convolution31"
}
layer {
  name: "Convolution32"
  type: "Convolution"
  bottom: "Convolution31"
  top: "Convolution32"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm32"
  type: "BatchNorm"
  bottom: "Convolution32"
  top: "Convolution32"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale32"
  type: "Scale"
  bottom: "Convolution32"
  top: "Convolution32"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU36"
  type: "ReLU"
  bottom: "Convolution32"
  top: "Convolution32"
}
layer {
  name: "Eltwise6"
  type: "Eltwise"
  bottom: "Eltwise5"
  bottom: "Convolution32"
  top: "Eltwise6"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU37"
  type: "ReLU"
  bottom: "Eltwise6"
  top: "Eltwise6"
}
layer {
  name: "Convolution33"
  type: "Convolution"
  bottom: "Eltwise6"
  top: "Convolution33"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm33"
  type: "BatchNorm"
  bottom: "Convolution33"
  top: "Convolution33"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale33"
  type: "Scale"
  bottom: "Convolution33"
  top: "Convolution33"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU38"
  type: "ReLU"
  bottom: "Convolution33"
  top: "Convolution33"
}
layer {
  name: "Convolution34"
  type: "Convolution"
  bottom: "Convolution33"
  top: "Convolution34"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm34"
  type: "BatchNorm"
  bottom: "Convolution34"
  top: "Convolution34"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale34"
  type: "Scale"
  bottom: "Convolution34"
  top: "Convolution34"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU39"
  type: "ReLU"
  bottom: "Convolution34"
  top: "Convolution34"
}
layer {
  name: "Convolution35"
  type: "Convolution"
  bottom: "Convolution34"
  top: "Convolution35"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm35"
  type: "BatchNorm"
  bottom: "Convolution35"
  top: "Convolution35"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale35"
  type: "Scale"
  bottom: "Convolution35"
  top: "Convolution35"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU40"
  type: "ReLU"
  bottom: "Convolution35"
  top: "Convolution35"
}
layer {
  name: "Convolution36"
  type: "Convolution"
  bottom: "Convolution35"
  top: "Convolution36"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm36"
  type: "BatchNorm"
  bottom: "Convolution36"
  top: "Convolution36"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale36"
  type: "Scale"
  bottom: "Convolution36"
  top: "Convolution36"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU41"
  type: "ReLU"
  bottom: "Convolution36"
  top: "Convolution36"
}
layer {
  name: "Convolution37"
  type: "Convolution"
  bottom: "Convolution36"
  top: "Convolution37"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm37"
  type: "BatchNorm"
  bottom: "Convolution37"
  top: "Convolution37"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale37"
  type: "Scale"
  bottom: "Convolution37"
  top: "Convolution37"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU42"
  type: "ReLU"
  bottom: "Convolution37"
  top: "Convolution37"
}
layer {
  name: "Eltwise7"
  type: "Eltwise"
  bottom: "Eltwise6"
  bottom: "Convolution37"
  top: "Eltwise7"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU43"
  type: "ReLU"
  bottom: "Eltwise7"
  top: "Eltwise7"
}
layer {
  name: "Convolution38"
  type: "Convolution"
  bottom: "Eltwise7"
  top: "Convolution38"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm38"
  type: "BatchNorm"
  bottom: "Convolution38"
  top: "Convolution38"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale38"
  type: "Scale"
  bottom: "Convolution38"
  top: "Convolution38"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU44"
  type: "ReLU"
  bottom: "Convolution38"
  top: "Convolution38"
}
layer {
  name: "Convolution39"
  type: "Convolution"
  bottom: "Convolution38"
  top: "Convolution39"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm39"
  type: "BatchNorm"
  bottom: "Convolution39"
  top: "Convolution39"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale39"
  type: "Scale"
  bottom: "Convolution39"
  top: "Convolution39"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU45"
  type: "ReLU"
  bottom: "Convolution39"
  top: "Convolution39"
}
layer {
  name: "Convolution40"
  type: "Convolution"
  bottom: "Convolution39"
  top: "Convolution40"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm40"
  type: "BatchNorm"
  bottom: "Convolution40"
  top: "Convolution40"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale40"
  type: "Scale"
  bottom: "Convolution40"
  top: "Convolution40"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU46"
  type: "ReLU"
  bottom: "Convolution40"
  top: "Convolution40"
}
layer {
  name: "Convolution41"
  type: "Convolution"
  bottom: "Convolution40"
  top: "Convolution41"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm41"
  type: "BatchNorm"
  bottom: "Convolution41"
  top: "Convolution41"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale41"
  type: "Scale"
  bottom: "Convolution41"
  top: "Convolution41"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU47"
  type: "ReLU"
  bottom: "Convolution41"
  top: "Convolution41"
}
layer {
  name: "Convolution42"
  type: "Convolution"
  bottom: "Convolution41"
  top: "Convolution42"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm42"
  type: "BatchNorm"
  bottom: "Convolution42"
  top: "Convolution42"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale42"
  type: "Scale"
  bottom: "Convolution42"
  top: "Convolution42"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU48"
  type: "ReLU"
  bottom: "Convolution42"
  top: "Convolution42"
}
layer {
  name: "Eltwise8"
  type: "Eltwise"
  bottom: "Eltwise7"
  bottom: "Convolution42"
  top: "Eltwise8"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU49"
  type: "ReLU"
  bottom: "Eltwise8"
  top: "Eltwise8"
}
layer {
  name: "Convolution43"
  type: "Convolution"
  bottom: "Eltwise8"
  top: "Convolution43"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm43"
  type: "BatchNorm"
  bottom: "Convolution43"
  top: "Convolution43"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale43"
  type: "Scale"
  bottom: "Convolution43"
  top: "Convolution43"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU50"
  type: "ReLU"
  bottom: "Convolution43"
  top: "Convolution43"
}
layer {
  name: "Convolution44"
  type: "Convolution"
  bottom: "Convolution43"
  top: "Convolution44"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm44"
  type: "BatchNorm"
  bottom: "Convolution44"
  top: "Convolution44"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale44"
  type: "Scale"
  bottom: "Convolution44"
  top: "Convolution44"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU51"
  type: "ReLU"
  bottom: "Convolution44"
  top: "Convolution44"
}
layer {
  name: "Convolution45"
  type: "Convolution"
  bottom: "Convolution44"
  top: "Convolution45"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm45"
  type: "BatchNorm"
  bottom: "Convolution45"
  top: "Convolution45"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale45"
  type: "Scale"
  bottom: "Convolution45"
  top: "Convolution45"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU52"
  type: "ReLU"
  bottom: "Convolution45"
  top: "Convolution45"
}
layer {
  name: "Convolution46"
  type: "Convolution"
  bottom: "Convolution45"
  top: "Convolution46"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm46"
  type: "BatchNorm"
  bottom: "Convolution46"
  top: "Convolution46"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale46"
  type: "Scale"
  bottom: "Convolution46"
  top: "Convolution46"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU53"
  type: "ReLU"
  bottom: "Convolution46"
  top: "Convolution46"
}
layer {
  name: "Convolution47"
  type: "Convolution"
  bottom: "Convolution46"
  top: "Convolution47"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm47"
  type: "BatchNorm"
  bottom: "Convolution47"
  top: "Convolution47"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale47"
  type: "Scale"
  bottom: "Convolution47"
  top: "Convolution47"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU54"
  type: "ReLU"
  bottom: "Convolution47"
  top: "Convolution47"
}
layer {
  name: "Eltwise9"
  type: "Eltwise"
  bottom: "Eltwise8"
  bottom: "Convolution47"
  top: "Eltwise9"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU55"
  type: "ReLU"
  bottom: "Eltwise9"
  top: "Eltwise9"
}
layer {
  name: "Convolution48"
  type: "Convolution"
  bottom: "Eltwise9"
  top: "Convolution48"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm48"
  type: "BatchNorm"
  bottom: "Convolution48"
  top: "Convolution48"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale48"
  type: "Scale"
  bottom: "Convolution48"
  top: "Convolution48"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU56"
  type: "ReLU"
  bottom: "Convolution48"
  top: "Convolution48"
}
layer {
  name: "Convolution49"
  type: "Convolution"
  bottom: "Convolution48"
  top: "Convolution49"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm49"
  type: "BatchNorm"
  bottom: "Convolution49"
  top: "Convolution49"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale49"
  type: "Scale"
  bottom: "Convolution49"
  top: "Convolution49"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU57"
  type: "ReLU"
  bottom: "Convolution49"
  top: "Convolution49"
}
layer {
  name: "Convolution50"
  type: "Convolution"
  bottom: "Convolution49"
  top: "Convolution50"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm50"
  type: "BatchNorm"
  bottom: "Convolution50"
  top: "Convolution50"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale50"
  type: "Scale"
  bottom: "Convolution50"
  top: "Convolution50"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU58"
  type: "ReLU"
  bottom: "Convolution50"
  top: "Convolution50"
}
layer {
  name: "Convolution51"
  type: "Convolution"
  bottom: "Convolution50"
  top: "Convolution51"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm51"
  type: "BatchNorm"
  bottom: "Convolution51"
  top: "Convolution51"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale51"
  type: "Scale"
  bottom: "Convolution51"
  top: "Convolution51"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU59"
  type: "ReLU"
  bottom: "Convolution51"
  top: "Convolution51"
}
layer {
  name: "Convolution52"
  type: "Convolution"
  bottom: "Convolution51"
  top: "Convolution52"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm52"
  type: "BatchNorm"
  bottom: "Convolution52"
  top: "Convolution52"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale52"
  type: "Scale"
  bottom: "Convolution52"
  top: "Convolution52"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU60"
  type: "ReLU"
  bottom: "Convolution52"
  top: "Convolution52"
}
layer {
  name: "Eltwise10"
  type: "Eltwise"
  bottom: "Eltwise9"
  bottom: "Convolution52"
  top: "Eltwise10"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU61"
  type: "ReLU"
  bottom: "Eltwise10"
  top: "Eltwise10"
}
layer {
  name: "Convolution53"
  type: "Convolution"
  bottom: "Eltwise10"
  top: "Convolution53"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm53"
  type: "BatchNorm"
  bottom: "Convolution53"
  top: "Convolution53"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale53"
  type: "Scale"
  bottom: "Convolution53"
  top: "Convolution53"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU62"
  type: "ReLU"
  bottom: "Convolution53"
  top: "Convolution53"
}
layer {
  name: "Convolution54"
  type: "Convolution"
  bottom: "Convolution53"
  top: "Convolution54"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm54"
  type: "BatchNorm"
  bottom: "Convolution54"
  top: "Convolution54"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale54"
  type: "Scale"
  bottom: "Convolution54"
  top: "Convolution54"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU63"
  type: "ReLU"
  bottom: "Convolution54"
  top: "Convolution54"
}
layer {
  name: "Convolution55"
  type: "Convolution"
  bottom: "Convolution54"
  top: "Convolution55"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm55"
  type: "BatchNorm"
  bottom: "Convolution55"
  top: "Convolution55"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale55"
  type: "Scale"
  bottom: "Convolution55"
  top: "Convolution55"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU64"
  type: "ReLU"
  bottom: "Convolution55"
  top: "Convolution55"
}
layer {
  name: "Convolution56"
  type: "Convolution"
  bottom: "Convolution55"
  top: "Convolution56"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm56"
  type: "BatchNorm"
  bottom: "Convolution56"
  top: "Convolution56"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale56"
  type: "Scale"
  bottom: "Convolution56"
  top: "Convolution56"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU65"
  type: "ReLU"
  bottom: "Convolution56"
  top: "Convolution56"
}
layer {
  name: "Convolution57"
  type: "Convolution"
  bottom: "Convolution56"
  top: "Convolution57"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm57"
  type: "BatchNorm"
  bottom: "Convolution57"
  top: "Convolution57"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale57"
  type: "Scale"
  bottom: "Convolution57"
  top: "Convolution57"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU66"
  type: "ReLU"
  bottom: "Convolution57"
  top: "Convolution57"
}
layer {
  name: "Eltwise11"
  type: "Eltwise"
  bottom: "Eltwise10"
  bottom: "Convolution57"
  top: "Eltwise11"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU67"
  type: "ReLU"
  bottom: "Eltwise11"
  top: "Eltwise11"
}
layer {
  name: "Convolution58"
  type: "Convolution"
  bottom: "Eltwise11"
  top: "Convolution58"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm58"
  type: "BatchNorm"
  bottom: "Convolution58"
  top: "Convolution58"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale58"
  type: "Scale"
  bottom: "Convolution58"
  top: "Convolution58"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU68"
  type: "ReLU"
  bottom: "Convolution58"
  top: "Convolution58"
}
layer {
  name: "Convolution59"
  type: "Convolution"
  bottom: "Convolution58"
  top: "Convolution59"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm59"
  type: "BatchNorm"
  bottom: "Convolution59"
  top: "Convolution59"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale59"
  type: "Scale"
  bottom: "Convolution59"
  top: "Convolution59"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU69"
  type: "ReLU"
  bottom: "Convolution59"
  top: "Convolution59"
}
layer {
  name: "Convolution60"
  type: "Convolution"
  bottom: "Convolution59"
  top: "Convolution60"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm60"
  type: "BatchNorm"
  bottom: "Convolution60"
  top: "Convolution60"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale60"
  type: "Scale"
  bottom: "Convolution60"
  top: "Convolution60"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU70"
  type: "ReLU"
  bottom: "Convolution60"
  top: "Convolution60"
}
layer {
  name: "Convolution61"
  type: "Convolution"
  bottom: "Convolution60"
  top: "Convolution61"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm61"
  type: "BatchNorm"
  bottom: "Convolution61"
  top: "Convolution61"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale61"
  type: "Scale"
  bottom: "Convolution61"
  top: "Convolution61"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU71"
  type: "ReLU"
  bottom: "Convolution61"
  top: "Convolution61"
}
layer {
  name: "Convolution62"
  type: "Convolution"
  bottom: "Convolution61"
  top: "Convolution62"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm62"
  type: "BatchNorm"
  bottom: "Convolution62"
  top: "Convolution62"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale62"
  type: "Scale"
  bottom: "Convolution62"
  top: "Convolution62"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU72"
  type: "ReLU"
  bottom: "Convolution62"
  top: "Convolution62"
}
layer {
  name: "Eltwise12"
  type: "Eltwise"
  bottom: "Eltwise11"
  bottom: "Convolution62"
  top: "Eltwise12"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "bypass_128_3"
  type: "ReLU"
  bottom: "Eltwise12"
  top: "Eltwise12"
}
layer {
  name: "Convolution63"
  type: "Convolution"
  bottom: "Eltwise12"
  top: "Convolution63"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm63"
  type: "BatchNorm"
  bottom: "Convolution63"
  top: "Convolution63"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale63"
  type: "Scale"
  bottom: "Convolution63"
  top: "Convolution63"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU73"
  type: "ReLU"
  bottom: "Convolution63"
  top: "Convolution63"
}
layer {
  name: "Convolution64"
  type: "Convolution"
  bottom: "Eltwise12"
  top: "Convolution64"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm64"
  type: "BatchNorm"
  bottom: "Convolution64"
  top: "Convolution64"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale64"
  type: "Scale"
  bottom: "Convolution64"
  top: "Convolution64"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU74"
  type: "ReLU"
  bottom: "Convolution64"
  top: "Convolution64"
}
layer {
  name: "Convolution65"
  type: "Convolution"
  bottom: "Convolution64"
  top: "Convolution65"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm65"
  type: "BatchNorm"
  bottom: "Convolution65"
  top: "Convolution65"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale65"
  type: "Scale"
  bottom: "Convolution65"
  top: "Convolution65"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU75"
  type: "ReLU"
  bottom: "Convolution65"
  top: "Convolution65"
}
layer {
  name: "Convolution66"
  type: "Convolution"
  bottom: "Convolution65"
  top: "Convolution66"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm66"
  type: "BatchNorm"
  bottom: "Convolution66"
  top: "Convolution66"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale66"
  type: "Scale"
  bottom: "Convolution66"
  top: "Convolution66"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU76"
  type: "ReLU"
  bottom: "Convolution66"
  top: "Convolution66"
}
layer {
  name: "Convolution67"
  type: "Convolution"
  bottom: "Convolution66"
  top: "Convolution67"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm67"
  type: "BatchNorm"
  bottom: "Convolution67"
  top: "Convolution67"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale67"
  type: "Scale"
  bottom: "Convolution67"
  top: "Convolution67"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU77"
  type: "ReLU"
  bottom: "Convolution67"
  top: "Convolution67"
}
layer {
  name: "Convolution68"
  type: "Convolution"
  bottom: "Convolution67"
  top: "Convolution68"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm68"
  type: "BatchNorm"
  bottom: "Convolution68"
  top: "Convolution68"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale68"
  type: "Scale"
  bottom: "Convolution68"
  top: "Convolution68"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU78"
  type: "ReLU"
  bottom: "Convolution68"
  top: "Convolution68"
}
layer {
  name: "Eltwise13"
  type: "Eltwise"
  bottom: "Convolution63"
  bottom: "Convolution68"
  top: "Eltwise13"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU79"
  type: "ReLU"
  bottom: "Eltwise13"
  top: "Eltwise13"
}
layer {
  name: "Convolution69"
  type: "Convolution"
  bottom: "Eltwise13"
  top: "Convolution69"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm69"
  type: "BatchNorm"
  bottom: "Convolution69"
  top: "Convolution69"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale69"
  type: "Scale"
  bottom: "Convolution69"
  top: "Convolution69"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU80"
  type: "ReLU"
  bottom: "Convolution69"
  top: "Convolution69"
}
layer {
  name: "Convolution70"
  type: "Convolution"
  bottom: "Convolution69"
  top: "Convolution70"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm70"
  type: "BatchNorm"
  bottom: "Convolution70"
  top: "Convolution70"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale70"
  type: "Scale"
  bottom: "Convolution70"
  top: "Convolution70"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU81"
  type: "ReLU"
  bottom: "Convolution70"
  top: "Convolution70"
}
layer {
  name: "Convolution71"
  type: "Convolution"
  bottom: "Convolution70"
  top: "Convolution71"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm71"
  type: "BatchNorm"
  bottom: "Convolution71"
  top: "Convolution71"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale71"
  type: "Scale"
  bottom: "Convolution71"
  top: "Convolution71"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU82"
  type: "ReLU"
  bottom: "Convolution71"
  top: "Convolution71"
}
layer {
  name: "Convolution72"
  type: "Convolution"
  bottom: "Convolution71"
  top: "Convolution72"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm72"
  type: "BatchNorm"
  bottom: "Convolution72"
  top: "Convolution72"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale72"
  type: "Scale"
  bottom: "Convolution72"
  top: "Convolution72"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU83"
  type: "ReLU"
  bottom: "Convolution72"
  top: "Convolution72"
}
layer {
  name: "Convolution73"
  type: "Convolution"
  bottom: "Convolution72"
  top: "Convolution73"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm73"
  type: "BatchNorm"
  bottom: "Convolution73"
  top: "Convolution73"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale73"
  type: "Scale"
  bottom: "Convolution73"
  top: "Convolution73"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU84"
  type: "ReLU"
  bottom: "Convolution73"
  top: "Convolution73"
}
layer {
  name: "Eltwise14"
  type: "Eltwise"
  bottom: "Eltwise13"
  bottom: "Convolution73"
  top: "Eltwise14"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU85"
  type: "ReLU"
  bottom: "Eltwise14"
  top: "Eltwise14"
}
layer {
  name: "Convolution74"
  type: "Convolution"
  bottom: "Eltwise14"
  top: "Convolution74"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm74"
  type: "BatchNorm"
  bottom: "Convolution74"
  top: "Convolution74"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale74"
  type: "Scale"
  bottom: "Convolution74"
  top: "Convolution74"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU86"
  type: "ReLU"
  bottom: "Convolution74"
  top: "Convolution74"
}
layer {
  name: "Convolution75"
  type: "Convolution"
  bottom: "Convolution74"
  top: "Convolution75"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm75"
  type: "BatchNorm"
  bottom: "Convolution75"
  top: "Convolution75"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale75"
  type: "Scale"
  bottom: "Convolution75"
  top: "Convolution75"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU87"
  type: "ReLU"
  bottom: "Convolution75"
  top: "Convolution75"
}
layer {
  name: "Convolution76"
  type: "Convolution"
  bottom: "Convolution75"
  top: "Convolution76"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm76"
  type: "BatchNorm"
  bottom: "Convolution76"
  top: "Convolution76"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale76"
  type: "Scale"
  bottom: "Convolution76"
  top: "Convolution76"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU88"
  type: "ReLU"
  bottom: "Convolution76"
  top: "Convolution76"
}
layer {
  name: "Convolution77"
  type: "Convolution"
  bottom: "Convolution76"
  top: "Convolution77"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm77"
  type: "BatchNorm"
  bottom: "Convolution77"
  top: "Convolution77"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale77"
  type: "Scale"
  bottom: "Convolution77"
  top: "Convolution77"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU89"
  type: "ReLU"
  bottom: "Convolution77"
  top: "Convolution77"
}
layer {
  name: "Convolution78"
  type: "Convolution"
  bottom: "Convolution77"
  top: "Convolution78"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm78"
  type: "BatchNorm"
  bottom: "Convolution78"
  top: "Convolution78"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale78"
  type: "Scale"
  bottom: "Convolution78"
  top: "Convolution78"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU90"
  type: "ReLU"
  bottom: "Convolution78"
  top: "Convolution78"
}
layer {
  name: "Eltwise15"
  type: "Eltwise"
  bottom: "Eltwise14"
  bottom: "Convolution78"
  top: "Eltwise15"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU91"
  type: "ReLU"
  bottom: "Eltwise15"
  top: "Eltwise15"
}
layer {
  name: "Convolution79"
  type: "Convolution"
  bottom: "Eltwise15"
  top: "Convolution79"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm79"
  type: "BatchNorm"
  bottom: "Convolution79"
  top: "Convolution79"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale79"
  type: "Scale"
  bottom: "Convolution79"
  top: "Convolution79"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU92"
  type: "ReLU"
  bottom: "Convolution79"
  top: "Convolution79"
}
layer {
  name: "Convolution80"
  type: "Convolution"
  bottom: "Convolution79"
  top: "Convolution80"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm80"
  type: "BatchNorm"
  bottom: "Convolution80"
  top: "Convolution80"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale80"
  type: "Scale"
  bottom: "Convolution80"
  top: "Convolution80"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU93"
  type: "ReLU"
  bottom: "Convolution80"
  top: "Convolution80"
}
layer {
  name: "Convolution81"
  type: "Convolution"
  bottom: "Convolution80"
  top: "Convolution81"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm81"
  type: "BatchNorm"
  bottom: "Convolution81"
  top: "Convolution81"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale81"
  type: "Scale"
  bottom: "Convolution81"
  top: "Convolution81"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU94"
  type: "ReLU"
  bottom: "Convolution81"
  top: "Convolution81"
}
layer {
  name: "Convolution82"
  type: "Convolution"
  bottom: "Convolution81"
  top: "Convolution82"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm82"
  type: "BatchNorm"
  bottom: "Convolution82"
  top: "Convolution82"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale82"
  type: "Scale"
  bottom: "Convolution82"
  top: "Convolution82"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU95"
  type: "ReLU"
  bottom: "Convolution82"
  top: "Convolution82"
}
layer {
  name: "Convolution83"
  type: "Convolution"
  bottom: "Convolution82"
  top: "Convolution83"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm83"
  type: "BatchNorm"
  bottom: "Convolution83"
  top: "Convolution83"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale83"
  type: "Scale"
  bottom: "Convolution83"
  top: "Convolution83"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU96"
  type: "ReLU"
  bottom: "Convolution83"
  top: "Convolution83"
}
layer {
  name: "Eltwise16"
  type: "Eltwise"
  bottom: "Eltwise15"
  bottom: "Convolution83"
  top: "Eltwise16"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU97"
  type: "ReLU"
  bottom: "Eltwise16"
  top: "Eltwise16"
}
layer {
  name: "Convolution84"
  type: "Convolution"
  bottom: "Eltwise16"
  top: "Convolution84"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm84"
  type: "BatchNorm"
  bottom: "Convolution84"
  top: "Convolution84"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale84"
  type: "Scale"
  bottom: "Convolution84"
  top: "Convolution84"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU98"
  type: "ReLU"
  bottom: "Convolution84"
  top: "Convolution84"
}
layer {
  name: "Convolution85"
  type: "Convolution"
  bottom: "Convolution84"
  top: "Convolution85"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm85"
  type: "BatchNorm"
  bottom: "Convolution85"
  top: "Convolution85"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale85"
  type: "Scale"
  bottom: "Convolution85"
  top: "Convolution85"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU99"
  type: "ReLU"
  bottom: "Convolution85"
  top: "Convolution85"
}
layer {
  name: "Convolution86"
  type: "Convolution"
  bottom: "Convolution85"
  top: "Convolution86"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm86"
  type: "BatchNorm"
  bottom: "Convolution86"
  top: "Convolution86"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale86"
  type: "Scale"
  bottom: "Convolution86"
  top: "Convolution86"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU100"
  type: "ReLU"
  bottom: "Convolution86"
  top: "Convolution86"
}
layer {
  name: "Convolution87"
  type: "Convolution"
  bottom: "Convolution86"
  top: "Convolution87"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm87"
  type: "BatchNorm"
  bottom: "Convolution87"
  top: "Convolution87"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale87"
  type: "Scale"
  bottom: "Convolution87"
  top: "Convolution87"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU101"
  type: "ReLU"
  bottom: "Convolution87"
  top: "Convolution87"
}
layer {
  name: "Convolution88"
  type: "Convolution"
  bottom: "Convolution87"
  top: "Convolution88"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm88"
  type: "BatchNorm"
  bottom: "Convolution88"
  top: "Convolution88"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale88"
  type: "Scale"
  bottom: "Convolution88"
  top: "Convolution88"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU102"
  type: "ReLU"
  bottom: "Convolution88"
  top: "Convolution88"
}
layer {
  name: "Eltwise17"
  type: "Eltwise"
  bottom: "Eltwise16"
  bottom: "Convolution88"
  top: "Eltwise17"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU103"
  type: "ReLU"
  bottom: "Eltwise17"
  top: "Eltwise17"
}
layer {
  name: "Convolution89"
  type: "Convolution"
  bottom: "Eltwise17"
  top: "Convolution89"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm89"
  type: "BatchNorm"
  bottom: "Convolution89"
  top: "Convolution89"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale89"
  type: "Scale"
  bottom: "Convolution89"
  top: "Convolution89"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU104"
  type: "ReLU"
  bottom: "Convolution89"
  top: "Convolution89"
}
layer {
  name: "Convolution90"
  type: "Convolution"
  bottom: "Convolution89"
  top: "Convolution90"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm90"
  type: "BatchNorm"
  bottom: "Convolution90"
  top: "Convolution90"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale90"
  type: "Scale"
  bottom: "Convolution90"
  top: "Convolution90"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU105"
  type: "ReLU"
  bottom: "Convolution90"
  top: "Convolution90"
}
layer {
  name: "Convolution91"
  type: "Convolution"
  bottom: "Convolution90"
  top: "Convolution91"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm91"
  type: "BatchNorm"
  bottom: "Convolution91"
  top: "Convolution91"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale91"
  type: "Scale"
  bottom: "Convolution91"
  top: "Convolution91"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU106"
  type: "ReLU"
  bottom: "Convolution91"
  top: "Convolution91"
}
layer {
  name: "Convolution92"
  type: "Convolution"
  bottom: "Convolution91"
  top: "Convolution92"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm92"
  type: "BatchNorm"
  bottom: "Convolution92"
  top: "Convolution92"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale92"
  type: "Scale"
  bottom: "Convolution92"
  top: "Convolution92"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU107"
  type: "ReLU"
  bottom: "Convolution92"
  top: "Convolution92"
}
layer {
  name: "Convolution93"
  type: "Convolution"
  bottom: "Convolution92"
  top: "Convolution93"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm93"
  type: "BatchNorm"
  bottom: "Convolution93"
  top: "Convolution93"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale93"
  type: "Scale"
  bottom: "Convolution93"
  top: "Convolution93"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU108"
  type: "ReLU"
  bottom: "Convolution93"
  top: "Convolution93"
}
layer {
  name: "Eltwise18"
  type: "Eltwise"
  bottom: "Eltwise17"
  bottom: "Convolution93"
  top: "Eltwise18"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU109"
  type: "ReLU"
  bottom: "Eltwise18"
  top: "Eltwise18"
}
layer {
  name: "Convolution94"
  type: "Convolution"
  bottom: "Eltwise18"
  top: "Convolution94"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm94"
  type: "BatchNorm"
  bottom: "Convolution94"
  top: "Convolution94"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale94"
  type: "Scale"
  bottom: "Convolution94"
  top: "Convolution94"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU110"
  type: "ReLU"
  bottom: "Convolution94"
  top: "Convolution94"
}
layer {
  name: "Convolution95"
  type: "Convolution"
  bottom: "Convolution94"
  top: "Convolution95"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm95"
  type: "BatchNorm"
  bottom: "Convolution95"
  top: "Convolution95"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale95"
  type: "Scale"
  bottom: "Convolution95"
  top: "Convolution95"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU111"
  type: "ReLU"
  bottom: "Convolution95"
  top: "Convolution95"
}
layer {
  name: "Convolution96"
  type: "Convolution"
  bottom: "Convolution95"
  top: "Convolution96"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm96"
  type: "BatchNorm"
  bottom: "Convolution96"
  top: "Convolution96"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale96"
  type: "Scale"
  bottom: "Convolution96"
  top: "Convolution96"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU112"
  type: "ReLU"
  bottom: "Convolution96"
  top: "Convolution96"
}
layer {
  name: "Convolution97"
  type: "Convolution"
  bottom: "Convolution96"
  top: "Convolution97"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm97"
  type: "BatchNorm"
  bottom: "Convolution97"
  top: "Convolution97"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale97"
  type: "Scale"
  bottom: "Convolution97"
  top: "Convolution97"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU113"
  type: "ReLU"
  bottom: "Convolution97"
  top: "Convolution97"
}
layer {
  name: "Convolution98"
  type: "Convolution"
  bottom: "Convolution97"
  top: "Convolution98"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm98"
  type: "BatchNorm"
  bottom: "Convolution98"
  top: "Convolution98"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale98"
  type: "Scale"
  bottom: "Convolution98"
  top: "Convolution98"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU114"
  type: "ReLU"
  bottom: "Convolution98"
  top: "Convolution98"
}
layer {
  name: "Eltwise19"
  type: "Eltwise"
  bottom: "Eltwise18"
  bottom: "Convolution98"
  top: "Eltwise19"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU115"
  type: "ReLU"
  bottom: "Eltwise19"
  top: "Eltwise19"
}
layer {
  name: "Convolution99"
  type: "Convolution"
  bottom: "Eltwise19"
  top: "Convolution99"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm99"
  type: "BatchNorm"
  bottom: "Convolution99"
  top: "Convolution99"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale99"
  type: "Scale"
  bottom: "Convolution99"
  top: "Convolution99"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU116"
  type: "ReLU"
  bottom: "Convolution99"
  top: "Convolution99"
}
layer {
  name: "Convolution100"
  type: "Convolution"
  bottom: "Convolution99"
  top: "Convolution100"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm100"
  type: "BatchNorm"
  bottom: "Convolution100"
  top: "Convolution100"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale100"
  type: "Scale"
  bottom: "Convolution100"
  top: "Convolution100"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU117"
  type: "ReLU"
  bottom: "Convolution100"
  top: "Convolution100"
}
layer {
  name: "Convolution101"
  type: "Convolution"
  bottom: "Convolution100"
  top: "Convolution101"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm101"
  type: "BatchNorm"
  bottom: "Convolution101"
  top: "Convolution101"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale101"
  type: "Scale"
  bottom: "Convolution101"
  top: "Convolution101"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU118"
  type: "ReLU"
  bottom: "Convolution101"
  top: "Convolution101"
}
layer {
  name: "Convolution102"
  type: "Convolution"
  bottom: "Convolution101"
  top: "Convolution102"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm102"
  type: "BatchNorm"
  bottom: "Convolution102"
  top: "Convolution102"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale102"
  type: "Scale"
  bottom: "Convolution102"
  top: "Convolution102"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU119"
  type: "ReLU"
  bottom: "Convolution102"
  top: "Convolution102"
}
layer {
  name: "Convolution103"
  type: "Convolution"
  bottom: "Convolution102"
  top: "Convolution103"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm103"
  type: "BatchNorm"
  bottom: "Convolution103"
  top: "Convolution103"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale103"
  type: "Scale"
  bottom: "Convolution103"
  top: "Convolution103"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU120"
  type: "ReLU"
  bottom: "Convolution103"
  top: "Convolution103"
}
layer {
  name: "Eltwise20"
  type: "Eltwise"
  bottom: "Eltwise19"
  bottom: "Convolution103"
  top: "Eltwise20"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU121"
  type: "ReLU"
  bottom: "Eltwise20"
  top: "Eltwise20"
}
layer {
  name: "Convolution104"
  type: "Convolution"
  bottom: "Eltwise20"
  top: "Convolution104"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm104"
  type: "BatchNorm"
  bottom: "Convolution104"
  top: "Convolution104"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale104"
  type: "Scale"
  bottom: "Convolution104"
  top: "Convolution104"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU122"
  type: "ReLU"
  bottom: "Convolution104"
  top: "Convolution104"
}
layer {
  name: "Convolution105"
  type: "Convolution"
  bottom: "Convolution104"
  top: "Convolution105"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm105"
  type: "BatchNorm"
  bottom: "Convolution105"
  top: "Convolution105"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale105"
  type: "Scale"
  bottom: "Convolution105"
  top: "Convolution105"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU123"
  type: "ReLU"
  bottom: "Convolution105"
  top: "Convolution105"
}
layer {
  name: "Convolution106"
  type: "Convolution"
  bottom: "Convolution105"
  top: "Convolution106"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm106"
  type: "BatchNorm"
  bottom: "Convolution106"
  top: "Convolution106"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale106"
  type: "Scale"
  bottom: "Convolution106"
  top: "Convolution106"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU124"
  type: "ReLU"
  bottom: "Convolution106"
  top: "Convolution106"
}
layer {
  name: "Convolution107"
  type: "Convolution"
  bottom: "Convolution106"
  top: "Convolution107"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm107"
  type: "BatchNorm"
  bottom: "Convolution107"
  top: "Convolution107"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale107"
  type: "Scale"
  bottom: "Convolution107"
  top: "Convolution107"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU125"
  type: "ReLU"
  bottom: "Convolution107"
  top: "Convolution107"
}
layer {
  name: "Convolution108"
  type: "Convolution"
  bottom: "Convolution107"
  top: "Convolution108"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm108"
  type: "BatchNorm"
  bottom: "Convolution108"
  top: "Convolution108"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale108"
  type: "Scale"
  bottom: "Convolution108"
  top: "Convolution108"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU126"
  type: "ReLU"
  bottom: "Convolution108"
  top: "Convolution108"
}
layer {
  name: "Eltwise21"
  type: "Eltwise"
  bottom: "Eltwise20"
  bottom: "Convolution108"
  top: "Eltwise21"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU127"
  type: "ReLU"
  bottom: "Eltwise21"
  top: "Eltwise21"
}
layer {
  name: "Convolution109"
  type: "Convolution"
  bottom: "Eltwise21"
  top: "Convolution109"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm109"
  type: "BatchNorm"
  bottom: "Convolution109"
  top: "Convolution109"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale109"
  type: "Scale"
  bottom: "Convolution109"
  top: "Convolution109"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU128"
  type: "ReLU"
  bottom: "Convolution109"
  top: "Convolution109"
}
layer {
  name: "Convolution110"
  type: "Convolution"
  bottom: "Convolution109"
  top: "Convolution110"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm110"
  type: "BatchNorm"
  bottom: "Convolution110"
  top: "Convolution110"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale110"
  type: "Scale"
  bottom: "Convolution110"
  top: "Convolution110"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU129"
  type: "ReLU"
  bottom: "Convolution110"
  top: "Convolution110"
}
layer {
  name: "Convolution111"
  type: "Convolution"
  bottom: "Convolution110"
  top: "Convolution111"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm111"
  type: "BatchNorm"
  bottom: "Convolution111"
  top: "Convolution111"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale111"
  type: "Scale"
  bottom: "Convolution111"
  top: "Convolution111"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU130"
  type: "ReLU"
  bottom: "Convolution111"
  top: "Convolution111"
}
layer {
  name: "Convolution112"
  type: "Convolution"
  bottom: "Convolution111"
  top: "Convolution112"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm112"
  type: "BatchNorm"
  bottom: "Convolution112"
  top: "Convolution112"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale112"
  type: "Scale"
  bottom: "Convolution112"
  top: "Convolution112"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU131"
  type: "ReLU"
  bottom: "Convolution112"
  top: "Convolution112"
}
layer {
  name: "Convolution113"
  type: "Convolution"
  bottom: "Convolution112"
  top: "Convolution113"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm113"
  type: "BatchNorm"
  bottom: "Convolution113"
  top: "Convolution113"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale113"
  type: "Scale"
  bottom: "Convolution113"
  top: "Convolution113"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU132"
  type: "ReLU"
  bottom: "Convolution113"
  top: "Convolution113"
}
layer {
  name: "Eltwise22"
  type: "Eltwise"
  bottom: "Eltwise21"
  bottom: "Convolution113"
  top: "Eltwise22"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU133"
  type: "ReLU"
  bottom: "Eltwise22"
  top: "Eltwise22"
}
layer {
  name: "Convolution114"
  type: "Convolution"
  bottom: "Eltwise22"
  top: "Convolution114"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm114"
  type: "BatchNorm"
  bottom: "Convolution114"
  top: "Convolution114"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale114"
  type: "Scale"
  bottom: "Convolution114"
  top: "Convolution114"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU134"
  type: "ReLU"
  bottom: "Convolution114"
  top: "Convolution114"
}
layer {
  name: "Convolution115"
  type: "Convolution"
  bottom: "Convolution114"
  top: "Convolution115"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm115"
  type: "BatchNorm"
  bottom: "Convolution115"
  top: "Convolution115"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale115"
  type: "Scale"
  bottom: "Convolution115"
  top: "Convolution115"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU135"
  type: "ReLU"
  bottom: "Convolution115"
  top: "Convolution115"
}
layer {
  name: "Convolution116"
  type: "Convolution"
  bottom: "Convolution115"
  top: "Convolution116"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm116"
  type: "BatchNorm"
  bottom: "Convolution116"
  top: "Convolution116"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale116"
  type: "Scale"
  bottom: "Convolution116"
  top: "Convolution116"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU136"
  type: "ReLU"
  bottom: "Convolution116"
  top: "Convolution116"
}
layer {
  name: "Convolution117"
  type: "Convolution"
  bottom: "Convolution116"
  top: "Convolution117"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm117"
  type: "BatchNorm"
  bottom: "Convolution117"
  top: "Convolution117"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale117"
  type: "Scale"
  bottom: "Convolution117"
  top: "Convolution117"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU137"
  type: "ReLU"
  bottom: "Convolution117"
  top: "Convolution117"
}
layer {
  name: "Convolution118"
  type: "Convolution"
  bottom: "Convolution117"
  top: "Convolution118"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm118"
  type: "BatchNorm"
  bottom: "Convolution118"
  top: "Convolution118"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale118"
  type: "Scale"
  bottom: "Convolution118"
  top: "Convolution118"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU138"
  type: "ReLU"
  bottom: "Convolution118"
  top: "Convolution118"
}
layer {
  name: "Eltwise23"
  type: "Eltwise"
  bottom: "Eltwise22"
  bottom: "Convolution118"
  top: "Eltwise23"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU139"
  type: "ReLU"
  bottom: "Eltwise23"
  top: "Eltwise23"
}
layer {
  name: "Convolution119"
  type: "Convolution"
  bottom: "Eltwise23"
  top: "Convolution119"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm119"
  type: "BatchNorm"
  bottom: "Convolution119"
  top: "Convolution119"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale119"
  type: "Scale"
  bottom: "Convolution119"
  top: "Convolution119"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU140"
  type: "ReLU"
  bottom: "Convolution119"
  top: "Convolution119"
}
layer {
  name: "Convolution120"
  type: "Convolution"
  bottom: "Convolution119"
  top: "Convolution120"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm120"
  type: "BatchNorm"
  bottom: "Convolution120"
  top: "Convolution120"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale120"
  type: "Scale"
  bottom: "Convolution120"
  top: "Convolution120"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU141"
  type: "ReLU"
  bottom: "Convolution120"
  top: "Convolution120"
}
layer {
  name: "Convolution121"
  type: "Convolution"
  bottom: "Convolution120"
  top: "Convolution121"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm121"
  type: "BatchNorm"
  bottom: "Convolution121"
  top: "Convolution121"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale121"
  type: "Scale"
  bottom: "Convolution121"
  top: "Convolution121"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU142"
  type: "ReLU"
  bottom: "Convolution121"
  top: "Convolution121"
}
layer {
  name: "Convolution122"
  type: "Convolution"
  bottom: "Convolution121"
  top: "Convolution122"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm122"
  type: "BatchNorm"
  bottom: "Convolution122"
  top: "Convolution122"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale122"
  type: "Scale"
  bottom: "Convolution122"
  top: "Convolution122"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU143"
  type: "ReLU"
  bottom: "Convolution122"
  top: "Convolution122"
}
layer {
  name: "Convolution123"
  type: "Convolution"
  bottom: "Convolution122"
  top: "Convolution123"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm123"
  type: "BatchNorm"
  bottom: "Convolution123"
  top: "Convolution123"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale123"
  type: "Scale"
  bottom: "Convolution123"
  top: "Convolution123"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU144"
  type: "ReLU"
  bottom: "Convolution123"
  top: "Convolution123"
}
layer {
  name: "Eltwise24"
  type: "Eltwise"
  bottom: "Eltwise23"
  bottom: "Convolution123"
  top: "Eltwise24"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "bypass_256_3"
  type: "ReLU"
  bottom: "Eltwise24"
  top: "Eltwise24"
}
layer {
  name: "Convolution124"
  type: "Convolution"
  bottom: "Eltwise24"
  top: "Convolution124"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm124"
  type: "BatchNorm"
  bottom: "Convolution124"
  top: "Convolution124"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale124"
  type: "Scale"
  bottom: "Convolution124"
  top: "Convolution124"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU145"
  type: "ReLU"
  bottom: "Convolution124"
  top: "Convolution124"
}
layer {
  name: "Convolution125"
  type: "Convolution"
  bottom: "Eltwise24"
  top: "Convolution125"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm125"
  type: "BatchNorm"
  bottom: "Convolution125"
  top: "Convolution125"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale125"
  type: "Scale"
  bottom: "Convolution125"
  top: "Convolution125"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU146"
  type: "ReLU"
  bottom: "Convolution125"
  top: "Convolution125"
}
layer {
  name: "Convolution126"
  type: "Convolution"
  bottom: "Convolution125"
  top: "Convolution126"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm126"
  type: "BatchNorm"
  bottom: "Convolution126"
  top: "Convolution126"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale126"
  type: "Scale"
  bottom: "Convolution126"
  top: "Convolution126"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU147"
  type: "ReLU"
  bottom: "Convolution126"
  top: "Convolution126"
}
layer {
  name: "Convolution127"
  type: "Convolution"
  bottom: "Convolution126"
  top: "Convolution127"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm127"
  type: "BatchNorm"
  bottom: "Convolution127"
  top: "Convolution127"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale127"
  type: "Scale"
  bottom: "Convolution127"
  top: "Convolution127"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU148"
  type: "ReLU"
  bottom: "Convolution127"
  top: "Convolution127"
}
layer {
  name: "Convolution128"
  type: "Convolution"
  bottom: "Convolution127"
  top: "Convolution128"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm128"
  type: "BatchNorm"
  bottom: "Convolution128"
  top: "Convolution128"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale128"
  type: "Scale"
  bottom: "Convolution128"
  top: "Convolution128"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU149"
  type: "ReLU"
  bottom: "Convolution128"
  top: "Convolution128"
}
layer {
  name: "Convolution129"
  type: "Convolution"
  bottom: "Convolution128"
  top: "Convolution129"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm129"
  type: "BatchNorm"
  bottom: "Convolution129"
  top: "Convolution129"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale129"
  type: "Scale"
  bottom: "Convolution129"
  top: "Convolution129"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU150"
  type: "ReLU"
  bottom: "Convolution129"
  top: "Convolution129"
}
layer {
  name: "Eltwise25"
  type: "Eltwise"
  bottom: "Convolution124"
  bottom: "Convolution129"
  top: "Eltwise25"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU151"
  type: "ReLU"
  bottom: "Eltwise25"
  top: "Eltwise25"
}
layer {
  name: "Convolution130"
  type: "Convolution"
  bottom: "Eltwise25"
  top: "Convolution130"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm130"
  type: "BatchNorm"
  bottom: "Convolution130"
  top: "Convolution130"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale130"
  type: "Scale"
  bottom: "Convolution130"
  top: "Convolution130"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU152"
  type: "ReLU"
  bottom: "Convolution130"
  top: "Convolution130"
}
layer {
  name: "Convolution131"
  type: "Convolution"
  bottom: "Convolution130"
  top: "Convolution131"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm131"
  type: "BatchNorm"
  bottom: "Convolution131"
  top: "Convolution131"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale131"
  type: "Scale"
  bottom: "Convolution131"
  top: "Convolution131"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU153"
  type: "ReLU"
  bottom: "Convolution131"
  top: "Convolution131"
}
layer {
  name: "Convolution132"
  type: "Convolution"
  bottom: "Convolution131"
  top: "Convolution132"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm132"
  type: "BatchNorm"
  bottom: "Convolution132"
  top: "Convolution132"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale132"
  type: "Scale"
  bottom: "Convolution132"
  top: "Convolution132"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU154"
  type: "ReLU"
  bottom: "Convolution132"
  top: "Convolution132"
}
layer {
  name: "Convolution133"
  type: "Convolution"
  bottom: "Convolution132"
  top: "Convolution133"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm133"
  type: "BatchNorm"
  bottom: "Convolution133"
  top: "Convolution133"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale133"
  type: "Scale"
  bottom: "Convolution133"
  top: "Convolution133"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU155"
  type: "ReLU"
  bottom: "Convolution133"
  top: "Convolution133"
}
layer {
  name: "Convolution134"
  type: "Convolution"
  bottom: "Convolution133"
  top: "Convolution134"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm134"
  type: "BatchNorm"
  bottom: "Convolution134"
  top: "Convolution134"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale134"
  type: "Scale"
  bottom: "Convolution134"
  top: "Convolution134"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU156"
  type: "ReLU"
  bottom: "Convolution134"
  top: "Convolution134"
}
layer {
  name: "Eltwise26"
  type: "Eltwise"
  bottom: "Eltwise25"
  bottom: "Convolution134"
  top: "Eltwise26"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU157"
  type: "ReLU"
  bottom: "Eltwise26"
  top: "Eltwise26"
}
layer {
  name: "Convolution135"
  type: "Convolution"
  bottom: "Eltwise26"
  top: "Convolution135"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm135"
  type: "BatchNorm"
  bottom: "Convolution135"
  top: "Convolution135"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale135"
  type: "Scale"
  bottom: "Convolution135"
  top: "Convolution135"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU158"
  type: "ReLU"
  bottom: "Convolution135"
  top: "Convolution135"
}
layer {
  name: "Convolution136"
  type: "Convolution"
  bottom: "Convolution135"
  top: "Convolution136"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm136"
  type: "BatchNorm"
  bottom: "Convolution136"
  top: "Convolution136"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale136"
  type: "Scale"
  bottom: "Convolution136"
  top: "Convolution136"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU159"
  type: "ReLU"
  bottom: "Convolution136"
  top: "Convolution136"
}
layer {
  name: "Convolution137"
  type: "Convolution"
  bottom: "Convolution136"
  top: "Convolution137"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm137"
  type: "BatchNorm"
  bottom: "Convolution137"
  top: "Convolution137"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale137"
  type: "Scale"
  bottom: "Convolution137"
  top: "Convolution137"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU160"
  type: "ReLU"
  bottom: "Convolution137"
  top: "Convolution137"
}
layer {
  name: "Convolution138"
  type: "Convolution"
  bottom: "Convolution137"
  top: "Convolution138"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm138"
  type: "BatchNorm"
  bottom: "Convolution138"
  top: "Convolution138"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale138"
  type: "Scale"
  bottom: "Convolution138"
  top: "Convolution138"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU161"
  type: "ReLU"
  bottom: "Convolution138"
  top: "Convolution138"
}
layer {
  name: "Convolution139"
  type: "Convolution"
  bottom: "Convolution138"
  top: "Convolution139"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm139"
  type: "BatchNorm"
  bottom: "Convolution139"
  top: "Convolution139"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale139"
  type: "Scale"
  bottom: "Convolution139"
  top: "Convolution139"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU162"
  type: "ReLU"
  bottom: "Convolution139"
  top: "Convolution139"
}
layer {
  name: "Eltwise27"
  type: "Eltwise"
  bottom: "Eltwise26"
  bottom: "Convolution139"
  top: "Eltwise27"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU163"
  type: "ReLU"
  bottom: "Eltwise27"
  top: "Eltwise27"
}
layer {
  name: "Convolution140"
  type: "Convolution"
  bottom: "Eltwise27"
  top: "Convolution140"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm140"
  type: "BatchNorm"
  bottom: "Convolution140"
  top: "Convolution140"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale140"
  type: "Scale"
  bottom: "Convolution140"
  top: "Convolution140"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU164"
  type: "ReLU"
  bottom: "Convolution140"
  top: "Convolution140"
}
layer {
  name: "Convolution141"
  type: "Convolution"
  bottom: "Convolution140"
  top: "Convolution141"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm141"
  type: "BatchNorm"
  bottom: "Convolution141"
  top: "Convolution141"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale141"
  type: "Scale"
  bottom: "Convolution141"
  top: "Convolution141"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU165"
  type: "ReLU"
  bottom: "Convolution141"
  top: "Convolution141"
}
layer {
  name: "Convolution142"
  type: "Convolution"
  bottom: "Convolution141"
  top: "Convolution142"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm142"
  type: "BatchNorm"
  bottom: "Convolution142"
  top: "Convolution142"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale142"
  type: "Scale"
  bottom: "Convolution142"
  top: "Convolution142"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU166"
  type: "ReLU"
  bottom: "Convolution142"
  top: "Convolution142"
}
layer {
  name: "Convolution143"
  type: "Convolution"
  bottom: "Convolution142"
  top: "Convolution143"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm143"
  type: "BatchNorm"
  bottom: "Convolution143"
  top: "Convolution143"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale143"
  type: "Scale"
  bottom: "Convolution143"
  top: "Convolution143"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU167"
  type: "ReLU"
  bottom: "Convolution143"
  top: "Convolution143"
}
layer {
  name: "Convolution144"
  type: "Convolution"
  bottom: "Convolution143"
  top: "Convolution144"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm144"
  type: "BatchNorm"
  bottom: "Convolution144"
  top: "Convolution144"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale144"
  type: "Scale"
  bottom: "Convolution144"
  top: "Convolution144"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU168"
  type: "ReLU"
  bottom: "Convolution144"
  top: "Convolution144"
}
layer {
  name: "Eltwise28"
  type: "Eltwise"
  bottom: "Eltwise27"
  bottom: "Convolution144"
  top: "Eltwise28"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU169"
  type: "ReLU"
  bottom: "Eltwise28"
  top: "Eltwise28"
}
layer {
  name: "Convolution145"
  type: "Convolution"
  bottom: "Eltwise28"
  top: "Convolution145"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm145"
  type: "BatchNorm"
  bottom: "Convolution145"
  top: "Convolution145"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale145"
  type: "Scale"
  bottom: "Convolution145"
  top: "Convolution145"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU170"
  type: "ReLU"
  bottom: "Convolution145"
  top: "Convolution145"
}
layer {
  name: "Convolution146"
  type: "Convolution"
  bottom: "Convolution145"
  top: "Convolution146"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm146"
  type: "BatchNorm"
  bottom: "Convolution146"
  top: "Convolution146"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale146"
  type: "Scale"
  bottom: "Convolution146"
  top: "Convolution146"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU171"
  type: "ReLU"
  bottom: "Convolution146"
  top: "Convolution146"
}
layer {
  name: "Convolution147"
  type: "Convolution"
  bottom: "Convolution146"
  top: "Convolution147"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm147"
  type: "BatchNorm"
  bottom: "Convolution147"
  top: "Convolution147"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale147"
  type: "Scale"
  bottom: "Convolution147"
  top: "Convolution147"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU172"
  type: "ReLU"
  bottom: "Convolution147"
  top: "Convolution147"
}
layer {
  name: "Convolution148"
  type: "Convolution"
  bottom: "Convolution147"
  top: "Convolution148"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm148"
  type: "BatchNorm"
  bottom: "Convolution148"
  top: "Convolution148"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale148"
  type: "Scale"
  bottom: "Convolution148"
  top: "Convolution148"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU173"
  type: "ReLU"
  bottom: "Convolution148"
  top: "Convolution148"
}
layer {
  name: "Convolution149"
  type: "Convolution"
  bottom: "Convolution148"
  top: "Convolution149"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm149"
  type: "BatchNorm"
  bottom: "Convolution149"
  top: "Convolution149"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale149"
  type: "Scale"
  bottom: "Convolution149"
  top: "Convolution149"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU174"
  type: "ReLU"
  bottom: "Convolution149"
  top: "Convolution149"
}
layer {
  name: "Eltwise29"
  type: "Eltwise"
  bottom: "Eltwise28"
  bottom: "Convolution149"
  top: "Eltwise29"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU175"
  type: "ReLU"
  bottom: "Eltwise29"
  top: "Eltwise29"
}
layer {
  name: "Convolution150"
  type: "Convolution"
  bottom: "Eltwise29"
  top: "Convolution150"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm150"
  type: "BatchNorm"
  bottom: "Convolution150"
  top: "Convolution150"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale150"
  type: "Scale"
  bottom: "Convolution150"
  top: "Convolution150"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU176"
  type: "ReLU"
  bottom: "Convolution150"
  top: "Convolution150"
}
layer {
  name: "Convolution151"
  type: "Convolution"
  bottom: "Convolution150"
  top: "Convolution151"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm151"
  type: "BatchNorm"
  bottom: "Convolution151"
  top: "Convolution151"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale151"
  type: "Scale"
  bottom: "Convolution151"
  top: "Convolution151"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU177"
  type: "ReLU"
  bottom: "Convolution151"
  top: "Convolution151"
}
layer {
  name: "Convolution152"
  type: "Convolution"
  bottom: "Convolution151"
  top: "Convolution152"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm152"
  type: "BatchNorm"
  bottom: "Convolution152"
  top: "Convolution152"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale152"
  type: "Scale"
  bottom: "Convolution152"
  top: "Convolution152"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU178"
  type: "ReLU"
  bottom: "Convolution152"
  top: "Convolution152"
}
layer {
  name: "Convolution153"
  type: "Convolution"
  bottom: "Convolution152"
  top: "Convolution153"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm153"
  type: "BatchNorm"
  bottom: "Convolution153"
  top: "Convolution153"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale153"
  type: "Scale"
  bottom: "Convolution153"
  top: "Convolution153"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU179"
  type: "ReLU"
  bottom: "Convolution153"
  top: "Convolution153"
}
layer {
  name: "Convolution154"
  type: "Convolution"
  bottom: "Convolution153"
  top: "Convolution154"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm154"
  type: "BatchNorm"
  bottom: "Convolution154"
  top: "Convolution154"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale154"
  type: "Scale"
  bottom: "Convolution154"
  top: "Convolution154"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU180"
  type: "ReLU"
  bottom: "Convolution154"
  top: "Convolution154"
}
layer {
  name: "Eltwise30"
  type: "Eltwise"
  bottom: "Eltwise29"
  bottom: "Convolution154"
  top: "Eltwise30"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU181"
  type: "ReLU"
  bottom: "Eltwise30"
  top: "Eltwise30"
}
layer {
  name: "Convolution155"
  type: "Convolution"
  bottom: "Eltwise30"
  top: "Convolution155"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm155"
  type: "BatchNorm"
  bottom: "Convolution155"
  top: "Convolution155"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale155"
  type: "Scale"
  bottom: "Convolution155"
  top: "Convolution155"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU182"
  type: "ReLU"
  bottom: "Convolution155"
  top: "Convolution155"
}
layer {
  name: "Convolution156"
  type: "Convolution"
  bottom: "Convolution155"
  top: "Convolution156"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm156"
  type: "BatchNorm"
  bottom: "Convolution156"
  top: "Convolution156"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale156"
  type: "Scale"
  bottom: "Convolution156"
  top: "Convolution156"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU183"
  type: "ReLU"
  bottom: "Convolution156"
  top: "Convolution156"
}
layer {
  name: "Convolution157"
  type: "Convolution"
  bottom: "Convolution156"
  top: "Convolution157"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm157"
  type: "BatchNorm"
  bottom: "Convolution157"
  top: "Convolution157"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale157"
  type: "Scale"
  bottom: "Convolution157"
  top: "Convolution157"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU184"
  type: "ReLU"
  bottom: "Convolution157"
  top: "Convolution157"
}
layer {
  name: "Convolution158"
  type: "Convolution"
  bottom: "Convolution157"
  top: "Convolution158"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm158"
  type: "BatchNorm"
  bottom: "Convolution158"
  top: "Convolution158"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale158"
  type: "Scale"
  bottom: "Convolution158"
  top: "Convolution158"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU185"
  type: "ReLU"
  bottom: "Convolution158"
  top: "Convolution158"
}
layer {
  name: "Convolution159"
  type: "Convolution"
  bottom: "Convolution158"
  top: "Convolution159"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm159"
  type: "BatchNorm"
  bottom: "Convolution159"
  top: "Convolution159"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale159"
  type: "Scale"
  bottom: "Convolution159"
  top: "Convolution159"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU186"
  type: "ReLU"
  bottom: "Convolution159"
  top: "Convolution159"
}
layer {
  name: "Eltwise31"
  type: "Eltwise"
  bottom: "Eltwise30"
  bottom: "Convolution159"
  top: "Eltwise31"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU187"
  type: "ReLU"
  bottom: "Eltwise31"
  top: "Eltwise31"
}
layer {
  name: "Convolution160"
  type: "Convolution"
  bottom: "Eltwise31"
  top: "Convolution160"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm160"
  type: "BatchNorm"
  bottom: "Convolution160"
  top: "Convolution160"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale160"
  type: "Scale"
  bottom: "Convolution160"
  top: "Convolution160"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU188"
  type: "ReLU"
  bottom: "Convolution160"
  top: "Convolution160"
}
layer {
  name: "Convolution161"
  type: "Convolution"
  bottom: "Convolution160"
  top: "Convolution161"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm161"
  type: "BatchNorm"
  bottom: "Convolution161"
  top: "Convolution161"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale161"
  type: "Scale"
  bottom: "Convolution161"
  top: "Convolution161"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU189"
  type: "ReLU"
  bottom: "Convolution161"
  top: "Convolution161"
}
layer {
  name: "Convolution162"
  type: "Convolution"
  bottom: "Convolution161"
  top: "Convolution162"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm162"
  type: "BatchNorm"
  bottom: "Convolution162"
  top: "Convolution162"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale162"
  type: "Scale"
  bottom: "Convolution162"
  top: "Convolution162"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU190"
  type: "ReLU"
  bottom: "Convolution162"
  top: "Convolution162"
}
layer {
  name: "Convolution163"
  type: "Convolution"
  bottom: "Convolution162"
  top: "Convolution163"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm163"
  type: "BatchNorm"
  bottom: "Convolution163"
  top: "Convolution163"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale163"
  type: "Scale"
  bottom: "Convolution163"
  top: "Convolution163"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU191"
  type: "ReLU"
  bottom: "Convolution163"
  top: "Convolution163"
}
layer {
  name: "Convolution164"
  type: "Convolution"
  bottom: "Convolution163"
  top: "Convolution164"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm164"
  type: "BatchNorm"
  bottom: "Convolution164"
  top: "Convolution164"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale164"
  type: "Scale"
  bottom: "Convolution164"
  top: "Convolution164"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU192"
  type: "ReLU"
  bottom: "Convolution164"
  top: "Convolution164"
}
layer {
  name: "Eltwise32"
  type: "Eltwise"
  bottom: "Eltwise31"
  bottom: "Convolution164"
  top: "Eltwise32"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU193"
  type: "ReLU"
  bottom: "Eltwise32"
  top: "Eltwise32"
}
layer {
  name: "Convolution165"
  type: "Convolution"
  bottom: "Eltwise32"
  top: "Convolution165"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm165"
  type: "BatchNorm"
  bottom: "Convolution165"
  top: "Convolution165"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale165"
  type: "Scale"
  bottom: "Convolution165"
  top: "Convolution165"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU194"
  type: "ReLU"
  bottom: "Convolution165"
  top: "Convolution165"
}
layer {
  name: "Convolution166"
  type: "Convolution"
  bottom: "Convolution165"
  top: "Convolution166"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm166"
  type: "BatchNorm"
  bottom: "Convolution166"
  top: "Convolution166"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale166"
  type: "Scale"
  bottom: "Convolution166"
  top: "Convolution166"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU195"
  type: "ReLU"
  bottom: "Convolution166"
  top: "Convolution166"
}
layer {
  name: "Convolution167"
  type: "Convolution"
  bottom: "Convolution166"
  top: "Convolution167"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm167"
  type: "BatchNorm"
  bottom: "Convolution167"
  top: "Convolution167"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale167"
  type: "Scale"
  bottom: "Convolution167"
  top: "Convolution167"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU196"
  type: "ReLU"
  bottom: "Convolution167"
  top: "Convolution167"
}
layer {
  name: "Convolution168"
  type: "Convolution"
  bottom: "Convolution167"
  top: "Convolution168"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm168"
  type: "BatchNorm"
  bottom: "Convolution168"
  top: "Convolution168"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale168"
  type: "Scale"
  bottom: "Convolution168"
  top: "Convolution168"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU197"
  type: "ReLU"
  bottom: "Convolution168"
  top: "Convolution168"
}
layer {
  name: "Convolution169"
  type: "Convolution"
  bottom: "Convolution168"
  top: "Convolution169"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm169"
  type: "BatchNorm"
  bottom: "Convolution169"
  top: "Convolution169"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale169"
  type: "Scale"
  bottom: "Convolution169"
  top: "Convolution169"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU198"
  type: "ReLU"
  bottom: "Convolution169"
  top: "Convolution169"
}
layer {
  name: "Eltwise33"
  type: "Eltwise"
  bottom: "Eltwise32"
  bottom: "Convolution169"
  top: "Eltwise33"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU199"
  type: "ReLU"
  bottom: "Eltwise33"
  top: "Eltwise33"
}
layer {
  name: "Convolution170"
  type: "Convolution"
  bottom: "Eltwise33"
  top: "Convolution170"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm170"
  type: "BatchNorm"
  bottom: "Convolution170"
  top: "Convolution170"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale170"
  type: "Scale"
  bottom: "Convolution170"
  top: "Convolution170"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU200"
  type: "ReLU"
  bottom: "Convolution170"
  top: "Convolution170"
}
layer {
  name: "Convolution171"
  type: "Convolution"
  bottom: "Convolution170"
  top: "Convolution171"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm171"
  type: "BatchNorm"
  bottom: "Convolution171"
  top: "Convolution171"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale171"
  type: "Scale"
  bottom: "Convolution171"
  top: "Convolution171"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU201"
  type: "ReLU"
  bottom: "Convolution171"
  top: "Convolution171"
}
layer {
  name: "Convolution172"
  type: "Convolution"
  bottom: "Convolution171"
  top: "Convolution172"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm172"
  type: "BatchNorm"
  bottom: "Convolution172"
  top: "Convolution172"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale172"
  type: "Scale"
  bottom: "Convolution172"
  top: "Convolution172"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU202"
  type: "ReLU"
  bottom: "Convolution172"
  top: "Convolution172"
}
layer {
  name: "Convolution173"
  type: "Convolution"
  bottom: "Convolution172"
  top: "Convolution173"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm173"
  type: "BatchNorm"
  bottom: "Convolution173"
  top: "Convolution173"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale173"
  type: "Scale"
  bottom: "Convolution173"
  top: "Convolution173"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU203"
  type: "ReLU"
  bottom: "Convolution173"
  top: "Convolution173"
}
layer {
  name: "Convolution174"
  type: "Convolution"
  bottom: "Convolution173"
  top: "Convolution174"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm174"
  type: "BatchNorm"
  bottom: "Convolution174"
  top: "Convolution174"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale174"
  type: "Scale"
  bottom: "Convolution174"
  top: "Convolution174"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU204"
  type: "ReLU"
  bottom: "Convolution174"
  top: "Convolution174"
}
layer {
  name: "Eltwise34"
  type: "Eltwise"
  bottom: "Eltwise33"
  bottom: "Convolution174"
  top: "Eltwise34"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU205"
  type: "ReLU"
  bottom: "Eltwise34"
  top: "Eltwise34"
}
layer {
  name: "Convolution175"
  type: "Convolution"
  bottom: "Eltwise34"
  top: "Convolution175"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm175"
  type: "BatchNorm"
  bottom: "Convolution175"
  top: "Convolution175"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale175"
  type: "Scale"
  bottom: "Convolution175"
  top: "Convolution175"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU206"
  type: "ReLU"
  bottom: "Convolution175"
  top: "Convolution175"
}
layer {
  name: "Convolution176"
  type: "Convolution"
  bottom: "Convolution175"
  top: "Convolution176"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm176"
  type: "BatchNorm"
  bottom: "Convolution176"
  top: "Convolution176"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale176"
  type: "Scale"
  bottom: "Convolution176"
  top: "Convolution176"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU207"
  type: "ReLU"
  bottom: "Convolution176"
  top: "Convolution176"
}
layer {
  name: "Convolution177"
  type: "Convolution"
  bottom: "Convolution176"
  top: "Convolution177"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm177"
  type: "BatchNorm"
  bottom: "Convolution177"
  top: "Convolution177"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale177"
  type: "Scale"
  bottom: "Convolution177"
  top: "Convolution177"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU208"
  type: "ReLU"
  bottom: "Convolution177"
  top: "Convolution177"
}
layer {
  name: "Convolution178"
  type: "Convolution"
  bottom: "Convolution177"
  top: "Convolution178"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm178"
  type: "BatchNorm"
  bottom: "Convolution178"
  top: "Convolution178"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale178"
  type: "Scale"
  bottom: "Convolution178"
  top: "Convolution178"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU209"
  type: "ReLU"
  bottom: "Convolution178"
  top: "Convolution178"
}
layer {
  name: "Convolution179"
  type: "Convolution"
  bottom: "Convolution178"
  top: "Convolution179"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm179"
  type: "BatchNorm"
  bottom: "Convolution179"
  top: "Convolution179"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale179"
  type: "Scale"
  bottom: "Convolution179"
  top: "Convolution179"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU210"
  type: "ReLU"
  bottom: "Convolution179"
  top: "Convolution179"
}
layer {
  name: "Eltwise35"
  type: "Eltwise"
  bottom: "Eltwise34"
  bottom: "Convolution179"
  top: "Eltwise35"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU211"
  type: "ReLU"
  bottom: "Eltwise35"
  top: "Eltwise35"
}
layer {
  name: "Convolution180"
  type: "Convolution"
  bottom: "Eltwise35"
  top: "Convolution180"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm180"
  type: "BatchNorm"
  bottom: "Convolution180"
  top: "Convolution180"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale180"
  type: "Scale"
  bottom: "Convolution180"
  top: "Convolution180"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU212"
  type: "ReLU"
  bottom: "Convolution180"
  top: "Convolution180"
}
layer {
  name: "Convolution181"
  type: "Convolution"
  bottom: "Convolution180"
  top: "Convolution181"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm181"
  type: "BatchNorm"
  bottom: "Convolution181"
  top: "Convolution181"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale181"
  type: "Scale"
  bottom: "Convolution181"
  top: "Convolution181"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU213"
  type: "ReLU"
  bottom: "Convolution181"
  top: "Convolution181"
}
layer {
  name: "Convolution182"
  type: "Convolution"
  bottom: "Convolution181"
  top: "Convolution182"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm182"
  type: "BatchNorm"
  bottom: "Convolution182"
  top: "Convolution182"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale182"
  type: "Scale"
  bottom: "Convolution182"
  top: "Convolution182"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU214"
  type: "ReLU"
  bottom: "Convolution182"
  top: "Convolution182"
}
layer {
  name: "Convolution183"
  type: "Convolution"
  bottom: "Convolution182"
  top: "Convolution183"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm183"
  type: "BatchNorm"
  bottom: "Convolution183"
  top: "Convolution183"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale183"
  type: "Scale"
  bottom: "Convolution183"
  top: "Convolution183"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU215"
  type: "ReLU"
  bottom: "Convolution183"
  top: "Convolution183"
}
layer {
  name: "Convolution184"
  type: "Convolution"
  bottom: "Convolution183"
  top: "Convolution184"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm184"
  type: "BatchNorm"
  bottom: "Convolution184"
  top: "Convolution184"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale184"
  type: "Scale"
  bottom: "Convolution184"
  top: "Convolution184"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU216"
  type: "ReLU"
  bottom: "Convolution184"
  top: "Convolution184"
}
layer {
  name: "Eltwise36"
  type: "Eltwise"
  bottom: "Eltwise35"
  bottom: "Convolution184"
  top: "Eltwise36"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU217"
  type: "ReLU"
  bottom: "Eltwise36"
  top: "Eltwise36"
}
layer {
  name: "Convolution185"
  type: "Convolution"
  bottom: "Eltwise36"
  top: "Convolution185"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm185"
  type: "BatchNorm"
  bottom: "Convolution185"
  top: "Convolution185"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale185"
  type: "Scale"
  bottom: "Convolution185"
  top: "Convolution185"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU218"
  type: "ReLU"
  bottom: "Convolution185"
  top: "Convolution185"
}
layer {
  name: "Convolution186"
  type: "Convolution"
  bottom: "Convolution185"
  top: "Convolution186"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm186"
  type: "BatchNorm"
  bottom: "Convolution186"
  top: "Convolution186"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale186"
  type: "Scale"
  bottom: "Convolution186"
  top: "Convolution186"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU219"
  type: "ReLU"
  bottom: "Convolution186"
  top: "Convolution186"
}
layer {
  name: "Convolution187"
  type: "Convolution"
  bottom: "Convolution186"
  top: "Convolution187"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm187"
  type: "BatchNorm"
  bottom: "Convolution187"
  top: "Convolution187"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale187"
  type: "Scale"
  bottom: "Convolution187"
  top: "Convolution187"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU220"
  type: "ReLU"
  bottom: "Convolution187"
  top: "Convolution187"
}
layer {
  name: "Convolution188"
  type: "Convolution"
  bottom: "Convolution187"
  top: "Convolution188"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm188"
  type: "BatchNorm"
  bottom: "Convolution188"
  top: "Convolution188"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale188"
  type: "Scale"
  bottom: "Convolution188"
  top: "Convolution188"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU221"
  type: "ReLU"
  bottom: "Convolution188"
  top: "Convolution188"
}
layer {
  name: "Convolution189"
  type: "Convolution"
  bottom: "Convolution188"
  top: "Convolution189"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm189"
  type: "BatchNorm"
  bottom: "Convolution189"
  top: "Convolution189"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale189"
  type: "Scale"
  bottom: "Convolution189"
  top: "Convolution189"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU222"
  type: "ReLU"
  bottom: "Convolution189"
  top: "Convolution189"
}
layer {
  name: "Eltwise37"
  type: "Eltwise"
  bottom: "Eltwise36"
  bottom: "Convolution189"
  top: "Eltwise37"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU223"
  type: "ReLU"
  bottom: "Eltwise37"
  top: "Eltwise37"
}
layer {
  name: "Convolution190"
  type: "Convolution"
  bottom: "Eltwise37"
  top: "Convolution190"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm190"
  type: "BatchNorm"
  bottom: "Convolution190"
  top: "Convolution190"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale190"
  type: "Scale"
  bottom: "Convolution190"
  top: "Convolution190"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU224"
  type: "ReLU"
  bottom: "Convolution190"
  top: "Convolution190"
}
layer {
  name: "Convolution191"
  type: "Convolution"
  bottom: "Convolution190"
  top: "Convolution191"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm191"
  type: "BatchNorm"
  bottom: "Convolution191"
  top: "Convolution191"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale191"
  type: "Scale"
  bottom: "Convolution191"
  top: "Convolution191"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU225"
  type: "ReLU"
  bottom: "Convolution191"
  top: "Convolution191"
}
layer {
  name: "Convolution192"
  type: "Convolution"
  bottom: "Convolution191"
  top: "Convolution192"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm192"
  type: "BatchNorm"
  bottom: "Convolution192"
  top: "Convolution192"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale192"
  type: "Scale"
  bottom: "Convolution192"
  top: "Convolution192"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU226"
  type: "ReLU"
  bottom: "Convolution192"
  top: "Convolution192"
}
layer {
  name: "Convolution193"
  type: "Convolution"
  bottom: "Convolution192"
  top: "Convolution193"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm193"
  type: "BatchNorm"
  bottom: "Convolution193"
  top: "Convolution193"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale193"
  type: "Scale"
  bottom: "Convolution193"
  top: "Convolution193"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU227"
  type: "ReLU"
  bottom: "Convolution193"
  top: "Convolution193"
}
layer {
  name: "Convolution194"
  type: "Convolution"
  bottom: "Convolution193"
  top: "Convolution194"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm194"
  type: "BatchNorm"
  bottom: "Convolution194"
  top: "Convolution194"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale194"
  type: "Scale"
  bottom: "Convolution194"
  top: "Convolution194"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU228"
  type: "ReLU"
  bottom: "Convolution194"
  top: "Convolution194"
}
layer {
  name: "Eltwise38"
  type: "Eltwise"
  bottom: "Eltwise37"
  bottom: "Convolution194"
  top: "Eltwise38"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU229"
  type: "ReLU"
  bottom: "Eltwise38"
  top: "Eltwise38"
}
layer {
  name: "Convolution195"
  type: "Convolution"
  bottom: "Eltwise38"
  top: "Convolution195"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm195"
  type: "BatchNorm"
  bottom: "Convolution195"
  top: "Convolution195"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale195"
  type: "Scale"
  bottom: "Convolution195"
  top: "Convolution195"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU230"
  type: "ReLU"
  bottom: "Convolution195"
  top: "Convolution195"
}
layer {
  name: "Convolution196"
  type: "Convolution"
  bottom: "Convolution195"
  top: "Convolution196"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm196"
  type: "BatchNorm"
  bottom: "Convolution196"
  top: "Convolution196"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale196"
  type: "Scale"
  bottom: "Convolution196"
  top: "Convolution196"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU231"
  type: "ReLU"
  bottom: "Convolution196"
  top: "Convolution196"
}
layer {
  name: "Convolution197"
  type: "Convolution"
  bottom: "Convolution196"
  top: "Convolution197"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm197"
  type: "BatchNorm"
  bottom: "Convolution197"
  top: "Convolution197"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale197"
  type: "Scale"
  bottom: "Convolution197"
  top: "Convolution197"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU232"
  type: "ReLU"
  bottom: "Convolution197"
  top: "Convolution197"
}
layer {
  name: "Convolution198"
  type: "Convolution"
  bottom: "Convolution197"
  top: "Convolution198"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm198"
  type: "BatchNorm"
  bottom: "Convolution198"
  top: "Convolution198"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale198"
  type: "Scale"
  bottom: "Convolution198"
  top: "Convolution198"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU233"
  type: "ReLU"
  bottom: "Convolution198"
  top: "Convolution198"
}
layer {
  name: "Convolution199"
  type: "Convolution"
  bottom: "Convolution198"
  top: "Convolution199"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm199"
  type: "BatchNorm"
  bottom: "Convolution199"
  top: "Convolution199"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale199"
  type: "Scale"
  bottom: "Convolution199"
  top: "Convolution199"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU234"
  type: "ReLU"
  bottom: "Convolution199"
  top: "Convolution199"
}
layer {
  name: "Eltwise39"
  type: "Eltwise"
  bottom: "Eltwise38"
  bottom: "Convolution199"
  top: "Eltwise39"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU235"
  type: "ReLU"
  bottom: "Eltwise39"
  top: "Eltwise39"
}
layer {
  name: "Convolution200"
  type: "Convolution"
  bottom: "Eltwise39"
  top: "Convolution200"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm200"
  type: "BatchNorm"
  bottom: "Convolution200"
  top: "Convolution200"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale200"
  type: "Scale"
  bottom: "Convolution200"
  top: "Convolution200"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU236"
  type: "ReLU"
  bottom: "Convolution200"
  top: "Convolution200"
}
layer {
  name: "Convolution201"
  type: "Convolution"
  bottom: "Convolution200"
  top: "Convolution201"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm201"
  type: "BatchNorm"
  bottom: "Convolution201"
  top: "Convolution201"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale201"
  type: "Scale"
  bottom: "Convolution201"
  top: "Convolution201"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU237"
  type: "ReLU"
  bottom: "Convolution201"
  top: "Convolution201"
}
layer {
  name: "Convolution202"
  type: "Convolution"
  bottom: "Convolution201"
  top: "Convolution202"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm202"
  type: "BatchNorm"
  bottom: "Convolution202"
  top: "Convolution202"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale202"
  type: "Scale"
  bottom: "Convolution202"
  top: "Convolution202"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU238"
  type: "ReLU"
  bottom: "Convolution202"
  top: "Convolution202"
}
layer {
  name: "Convolution203"
  type: "Convolution"
  bottom: "Convolution202"
  top: "Convolution203"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm203"
  type: "BatchNorm"
  bottom: "Convolution203"
  top: "Convolution203"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale203"
  type: "Scale"
  bottom: "Convolution203"
  top: "Convolution203"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU239"
  type: "ReLU"
  bottom: "Convolution203"
  top: "Convolution203"
}
layer {
  name: "Convolution204"
  type: "Convolution"
  bottom: "Convolution203"
  top: "Convolution204"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm204"
  type: "BatchNorm"
  bottom: "Convolution204"
  top: "Convolution204"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale204"
  type: "Scale"
  bottom: "Convolution204"
  top: "Convolution204"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU240"
  type: "ReLU"
  bottom: "Convolution204"
  top: "Convolution204"
}
layer {
  name: "Eltwise40"
  type: "Eltwise"
  bottom: "Eltwise39"
  bottom: "Convolution204"
  top: "Eltwise40"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "bypass_512_6"
  type: "ReLU"
  bottom: "Eltwise40"
  top: "Eltwise40"
}
layer {
  name: "Convolution205"
  type: "Convolution"
  bottom: "Eltwise40"
  top: "Convolution205"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm205"
  type: "BatchNorm"
  bottom: "Convolution205"
  top: "Convolution205"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale205"
  type: "Scale"
  bottom: "Convolution205"
  top: "Convolution205"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU241"
  type: "ReLU"
  bottom: "Convolution205"
  top: "Convolution205"
}
layer {
  name: "Convolution206"
  type: "Convolution"
  bottom: "Eltwise40"
  top: "Convolution206"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm206"
  type: "BatchNorm"
  bottom: "Convolution206"
  top: "Convolution206"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale206"
  type: "Scale"
  bottom: "Convolution206"
  top: "Convolution206"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU242"
  type: "ReLU"
  bottom: "Convolution206"
  top: "Convolution206"
}
layer {
  name: "Convolution207"
  type: "Convolution"
  bottom: "Convolution206"
  top: "Convolution207"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm207"
  type: "BatchNorm"
  bottom: "Convolution207"
  top: "Convolution207"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale207"
  type: "Scale"
  bottom: "Convolution207"
  top: "Convolution207"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU243"
  type: "ReLU"
  bottom: "Convolution207"
  top: "Convolution207"
}
layer {
  name: "Convolution208"
  type: "Convolution"
  bottom: "Convolution207"
  top: "Convolution208"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm208"
  type: "BatchNorm"
  bottom: "Convolution208"
  top: "Convolution208"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale208"
  type: "Scale"
  bottom: "Convolution208"
  top: "Convolution208"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU244"
  type: "ReLU"
  bottom: "Convolution208"
  top: "Convolution208"
}
layer {
  name: "Convolution209"
  type: "Convolution"
  bottom: "Convolution208"
  top: "Convolution209"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm209"
  type: "BatchNorm"
  bottom: "Convolution209"
  top: "Convolution209"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale209"
  type: "Scale"
  bottom: "Convolution209"
  top: "Convolution209"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU245"
  type: "ReLU"
  bottom: "Convolution209"
  top: "Convolution209"
}
layer {
  name: "Convolution210"
  type: "Convolution"
  bottom: "Convolution209"
  top: "Convolution210"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm210"
  type: "BatchNorm"
  bottom: "Convolution210"
  top: "Convolution210"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale210"
  type: "Scale"
  bottom: "Convolution210"
  top: "Convolution210"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU246"
  type: "ReLU"
  bottom: "Convolution210"
  top: "Convolution210"
}
layer {
  name: "Eltwise41"
  type: "Eltwise"
  bottom: "Convolution205"
  bottom: "Convolution210"
  top: "Eltwise41"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU247"
  type: "ReLU"
  bottom: "Eltwise41"
  top: "Eltwise41"
}
layer {
  name: "Convolution211"
  type: "Convolution"
  bottom: "Eltwise41"
  top: "Convolution211"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm211"
  type: "BatchNorm"
  bottom: "Convolution211"
  top: "Convolution211"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale211"
  type: "Scale"
  bottom: "Convolution211"
  top: "Convolution211"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU248"
  type: "ReLU"
  bottom: "Convolution211"
  top: "Convolution211"
}
layer {
  name: "Convolution212"
  type: "Convolution"
  bottom: "Convolution211"
  top: "Convolution212"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm212"
  type: "BatchNorm"
  bottom: "Convolution212"
  top: "Convolution212"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale212"
  type: "Scale"
  bottom: "Convolution212"
  top: "Convolution212"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU249"
  type: "ReLU"
  bottom: "Convolution212"
  top: "Convolution212"
}
layer {
  name: "Convolution213"
  type: "Convolution"
  bottom: "Convolution212"
  top: "Convolution213"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    dilation: 1
  }
}
layer {
  name: "BatchNorm213"
  type: "BatchNorm"
  bottom: "Convolution213"
  top: "Convolution213"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale213"
  type: "Scale"
  bottom: "Convolution213"
  top: "Convolution213"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU250"
  type: "ReLU"
  bottom: "Convolution213"
  top: "Convolution213"
}
layer {
  name: "Convolution214"
  type: "Convolution"
  bottom: "Convolution213"
  top: "Convolution214"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    pad_h: 1
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    dilation: 1
  }
}
layer {
  name: "BatchNorm214"
  type: "BatchNorm"
  bottom: "Convolution214"
  top: "Convolution214"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale214"
  type: "Scale"
  bottom: "Convolution214"
  top: "Convolution214"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU251"
  type: "ReLU"
  bottom: "Convolution214"
  top: "Convolution214"
}
layer {
  name: "Convolution215"
  type: "Convolution"
  bottom: "Convolution214"
  top: "Convolution215"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm215"
  type: "BatchNorm"
  bottom: "Convolution215"
  top: "Convolution215"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale215"
  type: "Scale"
  bottom: "Convolution215"
  top: "Convolution215"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "ReLU252"
  type: "ReLU"
  bottom: "Convolution215"
  top: "Convolution215"
}
layer {
  name: "Eltwise42"
  type: "Eltwise"
  bottom: "Eltwise41"
  bottom: "Convolution215"
  top: "Eltwise42"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "bypass_1024_3"
  type: "ReLU"
  bottom: "Eltwise42"
  top: "Eltwise42"
}
layer {
  name: "Convolution216"
  type: "Convolution"
  bottom: "Eltwise42"
  top: "Convolution216"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "BatchNorm216"
  type: "BatchNorm"
  bottom: "Convolution216"
  top: "Convolution216"
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.0
    decay_mult: 0.0
  }
}
layer {
  name: "Scale216"
  type: "Scale"
  bottom: "Convolution216"
  top: "Convolution216"
  scale_param {
    filler {
      value: 1.0
    }
    bias_term: true
    bias_filler {
      value: 0.0
    }
  }
}
layer {
  name: "conv_128"
  type: "ReLU"
  bottom: "Convolution216"
  top: "Convolution216"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "Convolution216"
  top: "pool5"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}
layer {
  name: "fc1000"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc1000"
  inner_product_param {
    num_output: 1000
    bias_term: false
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "fc1000"
  bottom: "label"
  top: "loss"
}
layer {
  name: "acc5_test"
  type: "Accuracy"
  bottom: "fc1000"
  bottom: "label"
  top: "acc5_test"
  include {
    phase: TEST
  }
  accuracy_param {
    top_k: 5
  }
}
layer {
  name: "acc5_train"
  type: "Accuracy"
  bottom: "fc1000"
  bottom: "label"
  top: "acc5_train"
  include {
    phase: TRAIN
  }
  accuracy_param {
    top_k: 5
  }
}
layer {
  name: "acc1_test"
  type: "Accuracy"
  bottom: "fc1000"
  bottom: "label"
  top: "acc1_test"
  include {
    phase: TEST
  }
  accuracy_param {
    top_k: 1
  }
}
layer {
  name: "acc1_train"
  type: "Accuracy"
  bottom: "fc1000"
  bottom: "label"
  top: "acc1_train"
  include {
    phase: TRAIN
  }
  accuracy_param {
    top_k: 1
  }
}