engine: "MKL2017"
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    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 {
    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: "bypass_128_3"
  type: "ReLU"
  bottom: "Eltwise6"
  top: "Eltwise6"
}
layer {
  name: "Convolution33"
  type: "Convolution"
  bottom: "Eltwise6"
  top: "Convolution33"
  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: "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: "ReLU37"
  type: "ReLU"
  bottom: "Convolution33"
  top: "Convolution33"
}
layer {
  name: "Convolution34"
  type: "Convolution"
  bottom: "Eltwise6"
  top: "Convolution34"
  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: "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: "ReLU38"
  type: "ReLU"
  bottom: "Convolution34"
  top: "Convolution34"
}
layer {
  name: "Convolution35"
  type: "Convolution"
  bottom: "Convolution34"
  top: "Convolution35"
  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: "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: "ReLU39"
  type: "ReLU"
  bottom: "Convolution35"
  top: "Convolution35"
}
layer {
  name: "Convolution36"
  type: "Convolution"
  bottom: "Convolution35"
  top: "Convolution36"
  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: "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: "ReLU40"
  type: "ReLU"
  bottom: "Convolution36"
  top: "Convolution36"
}
layer {
  name: "Convolution37"
  type: "Convolution"
  bottom: "Convolution36"
  top: "Convolution37"
  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: "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: "ReLU41"
  type: "ReLU"
  bottom: "Convolution37"
  top: "Convolution37"
}
layer {
  name: "Convolution38"
  type: "Convolution"
  bottom: "Convolution37"
  top: "Convolution38"
  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: "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: "ReLU42"
  type: "ReLU"
  bottom: "Convolution38"
  top: "Convolution38"
}
layer {
  name: "Eltwise7"
  type: "Eltwise"
  bottom: "Convolution33"
  bottom: "Convolution38"
  top: "Eltwise7"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU43"
  type: "ReLU"
  bottom: "Eltwise7"
  top: "Eltwise7"
}
layer {
  name: "Convolution39"
  type: "Convolution"
  bottom: "Eltwise7"
  top: "Convolution39"
  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: "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: "ReLU44"
  type: "ReLU"
  bottom: "Convolution39"
  top: "Convolution39"
}
layer {
  name: "Convolution40"
  type: "Convolution"
  bottom: "Convolution39"
  top: "Convolution40"
  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: "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: "ReLU45"
  type: "ReLU"
  bottom: "Convolution40"
  top: "Convolution40"
}
layer {
  name: "Convolution41"
  type: "Convolution"
  bottom: "Convolution40"
  top: "Convolution41"
  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: "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: "ReLU46"
  type: "ReLU"
  bottom: "Convolution41"
  top: "Convolution41"
}
layer {
  name: "Convolution42"
  type: "Convolution"
  bottom: "Convolution41"
  top: "Convolution42"
  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: "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: "ReLU47"
  type: "ReLU"
  bottom: "Convolution42"
  top: "Convolution42"
}
layer {
  name: "Convolution43"
  type: "Convolution"
  bottom: "Convolution42"
  top: "Convolution43"
  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: "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: "ReLU48"
  type: "ReLU"
  bottom: "Convolution43"
  top: "Convolution43"
}
layer {
  name: "Eltwise8"
  type: "Eltwise"
  bottom: "Eltwise7"
  bottom: "Convolution43"
  top: "Eltwise8"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU49"
  type: "ReLU"
  bottom: "Eltwise8"
  top: "Eltwise8"
}
layer {
  name: "Convolution44"
  type: "Convolution"
  bottom: "Eltwise8"
  top: "Convolution44"
  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: "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: "ReLU50"
  type: "ReLU"
  bottom: "Convolution44"
  top: "Convolution44"
}
layer {
  name: "Convolution45"
  type: "Convolution"
  bottom: "Convolution44"
  top: "Convolution45"
  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: "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: "ReLU51"
  type: "ReLU"
  bottom: "Convolution45"
  top: "Convolution45"
}
layer {
  name: "Convolution46"
  type: "Convolution"
  bottom: "Convolution45"
  top: "Convolution46"
  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: "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: "ReLU52"
  type: "ReLU"
  bottom: "Convolution46"
  top: "Convolution46"
}
layer {
  name: "Convolution47"
  type: "Convolution"
  bottom: "Convolution46"
  top: "Convolution47"
  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: "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: "ReLU53"
  type: "ReLU"
  bottom: "Convolution47"
  top: "Convolution47"
}
layer {
  name: "Convolution48"
  type: "Convolution"
  bottom: "Convolution47"
  top: "Convolution48"
  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: "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: "ReLU54"
  type: "ReLU"
  bottom: "Convolution48"
  top: "Convolution48"
}
layer {
  name: "Eltwise9"
  type: "Eltwise"
  bottom: "Eltwise8"
  bottom: "Convolution48"
  top: "Eltwise9"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU55"
  type: "ReLU"
  bottom: "Eltwise9"
  top: "Eltwise9"
}
layer {
  name: "Convolution49"
  type: "Convolution"
  bottom: "Eltwise9"
  top: "Convolution49"
  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: "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: "ReLU56"
  type: "ReLU"
  bottom: "Convolution49"
  top: "Convolution49"
}
layer {
  name: "Convolution50"
  type: "Convolution"
  bottom: "Convolution49"
  top: "Convolution50"
  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: "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: "ReLU57"
  type: "ReLU"
  bottom: "Convolution50"
  top: "Convolution50"
}
layer {
  name: "Convolution51"
  type: "Convolution"
  bottom: "Convolution50"
  top: "Convolution51"
  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: "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: "ReLU58"
  type: "ReLU"
  bottom: "Convolution51"
  top: "Convolution51"
}
layer {
  name: "Convolution52"
  type: "Convolution"
  bottom: "Convolution51"
  top: "Convolution52"
  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: "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: "ReLU59"
  type: "ReLU"
  bottom: "Convolution52"
  top: "Convolution52"
}
layer {
  name: "Convolution53"
  type: "Convolution"
  bottom: "Convolution52"
  top: "Convolution53"
  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: "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: "ReLU60"
  type: "ReLU"
  bottom: "Convolution53"
  top: "Convolution53"
}
layer {
  name: "Eltwise10"
  type: "Eltwise"
  bottom: "Eltwise9"
  bottom: "Convolution53"
  top: "Eltwise10"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU61"
  type: "ReLU"
  bottom: "Eltwise10"
  top: "Eltwise10"
}
layer {
  name: "Convolution54"
  type: "Convolution"
  bottom: "Eltwise10"
  top: "Convolution54"
  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: "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: "ReLU62"
  type: "ReLU"
  bottom: "Convolution54"
  top: "Convolution54"
}
layer {
  name: "Convolution55"
  type: "Convolution"
  bottom: "Convolution54"
  top: "Convolution55"
  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: "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: "ReLU63"
  type: "ReLU"
  bottom: "Convolution55"
  top: "Convolution55"
}
layer {
  name: "Convolution56"
  type: "Convolution"
  bottom: "Convolution55"
  top: "Convolution56"
  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: "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: "ReLU64"
  type: "ReLU"
  bottom: "Convolution56"
  top: "Convolution56"
}
layer {
  name: "Convolution57"
  type: "Convolution"
  bottom: "Convolution56"
  top: "Convolution57"
  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: "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: "ReLU65"
  type: "ReLU"
  bottom: "Convolution57"
  top: "Convolution57"
}
layer {
  name: "Convolution58"
  type: "Convolution"
  bottom: "Convolution57"
  top: "Convolution58"
  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: "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: "ReLU66"
  type: "ReLU"
  bottom: "Convolution58"
  top: "Convolution58"
}
layer {
  name: "Eltwise11"
  type: "Eltwise"
  bottom: "Eltwise10"
  bottom: "Convolution58"
  top: "Eltwise11"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU67"
  type: "ReLU"
  bottom: "Eltwise11"
  top: "Eltwise11"
}
layer {
  name: "Convolution59"
  type: "Convolution"
  bottom: "Eltwise11"
  top: "Convolution59"
  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: "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: "ReLU68"
  type: "ReLU"
  bottom: "Convolution59"
  top: "Convolution59"
}
layer {
  name: "Convolution60"
  type: "Convolution"
  bottom: "Convolution59"
  top: "Convolution60"
  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: "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: "ReLU69"
  type: "ReLU"
  bottom: "Convolution60"
  top: "Convolution60"
}
layer {
  name: "Convolution61"
  type: "Convolution"
  bottom: "Convolution60"
  top: "Convolution61"
  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: "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: "ReLU70"
  type: "ReLU"
  bottom: "Convolution61"
  top: "Convolution61"
}
layer {
  name: "Convolution62"
  type: "Convolution"
  bottom: "Convolution61"
  top: "Convolution62"
  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: "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: "ReLU71"
  type: "ReLU"
  bottom: "Convolution62"
  top: "Convolution62"
}
layer {
  name: "Convolution63"
  type: "Convolution"
  bottom: "Convolution62"
  top: "Convolution63"
  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: "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: "ReLU72"
  type: "ReLU"
  bottom: "Convolution63"
  top: "Convolution63"
}
layer {
  name: "Eltwise12"
  type: "Eltwise"
  bottom: "Eltwise11"
  bottom: "Convolution63"
  top: "Eltwise12"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "bypass_256_3"
  type: "ReLU"
  bottom: "Eltwise12"
  top: "Eltwise12"
}
layer {
  name: "Convolution64"
  type: "Convolution"
  bottom: "Eltwise12"
  top: "Convolution64"
  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: "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: "ReLU73"
  type: "ReLU"
  bottom: "Convolution64"
  top: "Convolution64"
}
layer {
  name: "Convolution65"
  type: "Convolution"
  bottom: "Eltwise12"
  top: "Convolution65"
  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: "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: "ReLU74"
  type: "ReLU"
  bottom: "Convolution65"
  top: "Convolution65"
}
layer {
  name: "Convolution66"
  type: "Convolution"
  bottom: "Convolution65"
  top: "Convolution66"
  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: "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: "ReLU75"
  type: "ReLU"
  bottom: "Convolution66"
  top: "Convolution66"
}
layer {
  name: "Convolution67"
  type: "Convolution"
  bottom: "Convolution66"
  top: "Convolution67"
  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: "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: "ReLU76"
  type: "ReLU"
  bottom: "Convolution67"
  top: "Convolution67"
}
layer {
  name: "Convolution68"
  type: "Convolution"
  bottom: "Convolution67"
  top: "Convolution68"
  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: "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: "ReLU77"
  type: "ReLU"
  bottom: "Convolution68"
  top: "Convolution68"
}
layer {
  name: "Convolution69"
  type: "Convolution"
  bottom: "Convolution68"
  top: "Convolution69"
  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: "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: "ReLU78"
  type: "ReLU"
  bottom: "Convolution69"
  top: "Convolution69"
}
layer {
  name: "Eltwise13"
  type: "Eltwise"
  bottom: "Convolution64"
  bottom: "Convolution69"
  top: "Eltwise13"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU79"
  type: "ReLU"
  bottom: "Eltwise13"
  top: "Eltwise13"
}
layer {
  name: "Convolution70"
  type: "Convolution"
  bottom: "Eltwise13"
  top: "Convolution70"
  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: "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: "ReLU80"
  type: "ReLU"
  bottom: "Convolution70"
  top: "Convolution70"
}
layer {
  name: "Convolution71"
  type: "Convolution"
  bottom: "Convolution70"
  top: "Convolution71"
  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: "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: "ReLU81"
  type: "ReLU"
  bottom: "Convolution71"
  top: "Convolution71"
}
layer {
  name: "Convolution72"
  type: "Convolution"
  bottom: "Convolution71"
  top: "Convolution72"
  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: "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: "ReLU82"
  type: "ReLU"
  bottom: "Convolution72"
  top: "Convolution72"
}
layer {
  name: "Convolution73"
  type: "Convolution"
  bottom: "Convolution72"
  top: "Convolution73"
  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: "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: "ReLU83"
  type: "ReLU"
  bottom: "Convolution73"
  top: "Convolution73"
}
layer {
  name: "Convolution74"
  type: "Convolution"
  bottom: "Convolution73"
  top: "Convolution74"
  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: "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: "ReLU84"
  type: "ReLU"
  bottom: "Convolution74"
  top: "Convolution74"
}
layer {
  name: "Eltwise14"
  type: "Eltwise"
  bottom: "Eltwise13"
  bottom: "Convolution74"
  top: "Eltwise14"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU85"
  type: "ReLU"
  bottom: "Eltwise14"
  top: "Eltwise14"
}
layer {
  name: "Convolution75"
  type: "Convolution"
  bottom: "Eltwise14"
  top: "Convolution75"
  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: "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: "ReLU86"
  type: "ReLU"
  bottom: "Convolution75"
  top: "Convolution75"
}
layer {
  name: "Convolution76"
  type: "Convolution"
  bottom: "Convolution75"
  top: "Convolution76"
  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: "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: "ReLU87"
  type: "ReLU"
  bottom: "Convolution76"
  top: "Convolution76"
}
layer {
  name: "Convolution77"
  type: "Convolution"
  bottom: "Convolution76"
  top: "Convolution77"
  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: "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: "ReLU88"
  type: "ReLU"
  bottom: "Convolution77"
  top: "Convolution77"
}
layer {
  name: "Convolution78"
  type: "Convolution"
  bottom: "Convolution77"
  top: "Convolution78"
  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: "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: "ReLU89"
  type: "ReLU"
  bottom: "Convolution78"
  top: "Convolution78"
}
layer {
  name: "Convolution79"
  type: "Convolution"
  bottom: "Convolution78"
  top: "Convolution79"
  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: "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: "ReLU90"
  type: "ReLU"
  bottom: "Convolution79"
  top: "Convolution79"
}
layer {
  name: "Eltwise15"
  type: "Eltwise"
  bottom: "Eltwise14"
  bottom: "Convolution79"
  top: "Eltwise15"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU91"
  type: "ReLU"
  bottom: "Eltwise15"
  top: "Eltwise15"
}
layer {
  name: "Convolution80"
  type: "Convolution"
  bottom: "Eltwise15"
  top: "Convolution80"
  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: "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: "ReLU92"
  type: "ReLU"
  bottom: "Convolution80"
  top: "Convolution80"
}
layer {
  name: "Convolution81"
  type: "Convolution"
  bottom: "Convolution80"
  top: "Convolution81"
  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: "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: "ReLU93"
  type: "ReLU"
  bottom: "Convolution81"
  top: "Convolution81"
}
layer {
  name: "Convolution82"
  type: "Convolution"
  bottom: "Convolution81"
  top: "Convolution82"
  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: "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: "ReLU94"
  type: "ReLU"
  bottom: "Convolution82"
  top: "Convolution82"
}
layer {
  name: "Convolution83"
  type: "Convolution"
  bottom: "Convolution82"
  top: "Convolution83"
  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: "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: "ReLU95"
  type: "ReLU"
  bottom: "Convolution83"
  top: "Convolution83"
}
layer {
  name: "Convolution84"
  type: "Convolution"
  bottom: "Convolution83"
  top: "Convolution84"
  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: "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: "ReLU96"
  type: "ReLU"
  bottom: "Convolution84"
  top: "Convolution84"
}
layer {
  name: "Eltwise16"
  type: "Eltwise"
  bottom: "Eltwise15"
  bottom: "Convolution84"
  top: "Eltwise16"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU97"
  type: "ReLU"
  bottom: "Eltwise16"
  top: "Eltwise16"
}
layer {
  name: "Convolution85"
  type: "Convolution"
  bottom: "Eltwise16"
  top: "Convolution85"
  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: "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: "ReLU98"
  type: "ReLU"
  bottom: "Convolution85"
  top: "Convolution85"
}
layer {
  name: "Convolution86"
  type: "Convolution"
  bottom: "Convolution85"
  top: "Convolution86"
  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: "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: "ReLU99"
  type: "ReLU"
  bottom: "Convolution86"
  top: "Convolution86"
}
layer {
  name: "Convolution87"
  type: "Convolution"
  bottom: "Convolution86"
  top: "Convolution87"
  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: "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: "ReLU100"
  type: "ReLU"
  bottom: "Convolution87"
  top: "Convolution87"
}
layer {
  name: "Convolution88"
  type: "Convolution"
  bottom: "Convolution87"
  top: "Convolution88"
  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: "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: "ReLU101"
  type: "ReLU"
  bottom: "Convolution88"
  top: "Convolution88"
}
layer {
  name: "Convolution89"
  type: "Convolution"
  bottom: "Convolution88"
  top: "Convolution89"
  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: "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: "ReLU102"
  type: "ReLU"
  bottom: "Convolution89"
  top: "Convolution89"
}
layer {
  name: "Eltwise17"
  type: "Eltwise"
  bottom: "Eltwise16"
  bottom: "Convolution89"
  top: "Eltwise17"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU103"
  type: "ReLU"
  bottom: "Eltwise17"
  top: "Eltwise17"
}
layer {
  name: "Convolution90"
  type: "Convolution"
  bottom: "Eltwise17"
  top: "Convolution90"
  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: "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: "ReLU104"
  type: "ReLU"
  bottom: "Convolution90"
  top: "Convolution90"
}
layer {
  name: "Convolution91"
  type: "Convolution"
  bottom: "Convolution90"
  top: "Convolution91"
  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: "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: "ReLU105"
  type: "ReLU"
  bottom: "Convolution91"
  top: "Convolution91"
}
layer {
  name: "Convolution92"
  type: "Convolution"
  bottom: "Convolution91"
  top: "Convolution92"
  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: "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: "ReLU106"
  type: "ReLU"
  bottom: "Convolution92"
  top: "Convolution92"
}
layer {
  name: "Convolution93"
  type: "Convolution"
  bottom: "Convolution92"
  top: "Convolution93"
  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: "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: "ReLU107"
  type: "ReLU"
  bottom: "Convolution93"
  top: "Convolution93"
}
layer {
  name: "Convolution94"
  type: "Convolution"
  bottom: "Convolution93"
  top: "Convolution94"
  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: "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: "ReLU108"
  type: "ReLU"
  bottom: "Convolution94"
  top: "Convolution94"
}
layer {
  name: "Eltwise18"
  type: "Eltwise"
  bottom: "Eltwise17"
  bottom: "Convolution94"
  top: "Eltwise18"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU109"
  type: "ReLU"
  bottom: "Eltwise18"
  top: "Eltwise18"
}
layer {
  name: "Convolution95"
  type: "Convolution"
  bottom: "Eltwise18"
  top: "Convolution95"
  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: "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: "ReLU110"
  type: "ReLU"
  bottom: "Convolution95"
  top: "Convolution95"
}
layer {
  name: "Convolution96"
  type: "Convolution"
  bottom: "Convolution95"
  top: "Convolution96"
  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: "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: "ReLU111"
  type: "ReLU"
  bottom: "Convolution96"
  top: "Convolution96"
}
layer {
  name: "Convolution97"
  type: "Convolution"
  bottom: "Convolution96"
  top: "Convolution97"
  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: "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: "ReLU112"
  type: "ReLU"
  bottom: "Convolution97"
  top: "Convolution97"
}
layer {
  name: "Convolution98"
  type: "Convolution"
  bottom: "Convolution97"
  top: "Convolution98"
  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: "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: "ReLU113"
  type: "ReLU"
  bottom: "Convolution98"
  top: "Convolution98"
}
layer {
  name: "Convolution99"
  type: "Convolution"
  bottom: "Convolution98"
  top: "Convolution99"
  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: "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: "ReLU114"
  type: "ReLU"
  bottom: "Convolution99"
  top: "Convolution99"
}
layer {
  name: "Eltwise19"
  type: "Eltwise"
  bottom: "Eltwise18"
  bottom: "Convolution99"
  top: "Eltwise19"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ReLU115"
  type: "ReLU"
  bottom: "Eltwise19"
  top: "Eltwise19"
}
layer {
  name: "Convolution100"
  type: "Convolution"
  bottom: "Eltwise19"
  top: "Convolution100"
  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: "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: "ReLU116"
  type: "ReLU"
  bottom: "Convolution100"
  top: "Convolution100"
}
layer {
  name: "Convolution101"
  type: "Convolution"
  bottom: "Convolution100"
  top: "Convolution101"
  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: "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: "ReLU117"
  type: "ReLU"
  bottom: "Convolution101"
  top: "Convolution101"
}
layer {
  name: "Convolution102"
  type: "Convolution"
  bottom: "Convolution101"
  top: "Convolution102"
  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: "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: "ReLU118"
  type: "ReLU"
  bottom: "Convolution102"
  top: "Convolution102"
}
layer {
  name: "Convolution103"
  type: "Convolution"
  bottom: "Convolution102"
  top: "Convolution103"
  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: "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: "ReLU119"
  type: "ReLU"
  bottom: "Convolution103"
  top: "Convolution103"
}
layer {
  name: "Convolution104"
  type: "Convolution"
  bottom: "Convolution103"
  top: "Convolution104"
  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: "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: "ReLU120"
  type: "ReLU"
  bottom: "Convolution104"
  top: "Convolution104"
}
layer {
  name: "Eltwise20"
  type: "Eltwise"
  bottom: "Eltwise19"
  bottom: "Convolution104"
  top: "Eltwise20"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "bypass_512_6"
  type: "ReLU"
  bottom: "Eltwise20"
  top: "Eltwise20"
}
layer {
  name: "Convolution105"
  type: "Convolution"
  bottom: "Eltwise20"
  top: "Convolution105"
  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: "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: "ReLU121"
  type: "ReLU"
  bottom: "Convolution105"
  top: "Convolution105"
}
layer {
  name: "Convolution106"
  type: "Convolution"
  bottom: "Eltwise20"
  top: "Convolution106"
  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: "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: "ReLU122"
  type: "ReLU"
  bottom: "Convolution106"
  top: "Convolution106"
}
layer {
  name: "Convolution107"
  type: "Convolution"
  bottom: "Convolution106"
  top: "Convolution107"
  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: "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: "ReLU123"
  type: "ReLU"
  bottom: "Convolution107"
  top: "Convolution107"
}
layer {
  name: "Convolution108"
  type: "Convolution"
  bottom: "Convolution107"
  top: "Convolution108"
  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: "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: "ReLU124"
  type: "ReLU"
  bottom: "Convolution108"
  top: "Convolution108"
}
layer {
  name: "Convolution109"
  type: "Convolution"
  bottom: "Convolution108"
  top: "Convolution109"
  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: "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: "ReLU125"
  type: "ReLU"
  bottom: "Convolution109"
  top: "Convolution109"
}
layer {
  name: "Convolution110"
  type: "Convolution"
  bottom: "Convolution109"
  top: "Convolution110"
  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: "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: "ReLU126"
  type: "ReLU"
  bottom: "Convolution110"
  top: "Convolution110"
}
layer {
  name: "Eltwise21"
  type: "Eltwise"
  bottom: "Convolution105"
  bottom: "Convolution110"
  top: "Eltwise21"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "bypass_1024_3"
  type: "ReLU"
  bottom: "Eltwise21"
  top: "Eltwise21"
}
layer {
  name: "Convolution111"
  type: "Convolution"
  bottom: "Eltwise21"
  top: "Convolution111"
  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: "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: "conv_128"
  type: "ReLU"
  bottom: "Convolution111"
  top: "Convolution111"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "Convolution111"
  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
  }
}