name: "TransferedPytorchModel"
input: "blob1"
input_dim: 1
input_dim: 3
input_dim: 256
input_dim: 256
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "blob1"
  top: "conv_blob1"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm1"
  type: "BatchNorm"
  bottom: "conv_blob1"
  top: "batch_norm_blob1"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale1"
  type: "Scale"
  bottom: "batch_norm_blob1"
  top: "batch_norm_blob1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "batch_norm_blob1"
  top: "relu_blob1"
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "relu_blob1"
  top: "conv_blob2"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm2"
  type: "BatchNorm"
  bottom: "conv_blob2"
  top: "batch_norm_blob2"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale2"
  type: "Scale"
  bottom: "batch_norm_blob2"
  top: "batch_norm_blob2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "batch_norm_blob2"
  top: "relu_blob2"
}
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "relu_blob2"
  top: "conv_blob3"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm3"
  type: "BatchNorm"
  bottom: "conv_blob3"
  top: "batch_norm_blob3"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale3"
  type: "Scale"
  bottom: "batch_norm_blob3"
  top: "batch_norm_blob3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "batch_norm_blob3"
  top: "relu_blob3"
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "relu_blob3"
  top: "conv_blob4"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm4"
  type: "BatchNorm"
  bottom: "conv_blob4"
  top: "batch_norm_blob4"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale4"
  type: "Scale"
  bottom: "batch_norm_blob4"
  top: "batch_norm_blob4"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu4"
  type: "ReLU"
  bottom: "batch_norm_blob4"
  top: "relu_blob4"
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "relu_blob4"
  top: "conv_blob5"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm5"
  type: "BatchNorm"
  bottom: "conv_blob5"
  top: "batch_norm_blob5"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale5"
  type: "Scale"
  bottom: "batch_norm_blob5"
  top: "batch_norm_blob5"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv6"
  type: "Convolution"
  bottom: "relu_blob2"
  top: "conv_blob6"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm6"
  type: "BatchNorm"
  bottom: "conv_blob6"
  top: "batch_norm_blob6"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale6"
  type: "Scale"
  bottom: "batch_norm_blob6"
  top: "batch_norm_blob6"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add1"
  type: "Eltwise"
  bottom: "batch_norm_blob5"
  bottom: "batch_norm_blob6"
  top: "add_blob1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu5"
  type: "ReLU"
  bottom: "add_blob1"
  top: "relu_blob5"
}
layer {
  name: "conv7"
  type: "Convolution"
  bottom: "relu_blob5"
  top: "conv_blob7"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm7"
  type: "BatchNorm"
  bottom: "conv_blob7"
  top: "batch_norm_blob7"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale7"
  type: "Scale"
  bottom: "batch_norm_blob7"
  top: "batch_norm_blob7"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "batch_norm_blob7"
  top: "relu_blob6"
}
layer {
  name: "conv8"
  type: "Convolution"
  bottom: "relu_blob6"
  top: "conv_blob8"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm8"
  type: "BatchNorm"
  bottom: "conv_blob8"
  top: "batch_norm_blob8"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale8"
  type: "Scale"
  bottom: "batch_norm_blob8"
  top: "batch_norm_blob8"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "batch_norm_blob8"
  top: "relu_blob7"
}
layer {
  name: "conv9"
  type: "Convolution"
  bottom: "relu_blob7"
  top: "conv_blob9"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm9"
  type: "BatchNorm"
  bottom: "conv_blob9"
  top: "batch_norm_blob9"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale9"
  type: "Scale"
  bottom: "batch_norm_blob9"
  top: "batch_norm_blob9"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add2"
  type: "Eltwise"
  bottom: "batch_norm_blob9"
  bottom: "relu_blob5"
  top: "add_blob2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu8"
  type: "ReLU"
  bottom: "add_blob2"
  top: "relu_blob8"
}
layer {
  name: "conv10"
  type: "Convolution"
  bottom: "relu_blob8"
  top: "conv_blob10"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm10"
  type: "BatchNorm"
  bottom: "conv_blob10"
  top: "batch_norm_blob10"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale10"
  type: "Scale"
  bottom: "batch_norm_blob10"
  top: "batch_norm_blob10"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu9"
  type: "ReLU"
  bottom: "batch_norm_blob10"
  top: "relu_blob9"
}
layer {
  name: "conv11"
  type: "Convolution"
  bottom: "relu_blob8"
  top: "conv_blob11"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm11"
  type: "BatchNorm"
  bottom: "conv_blob11"
  top: "batch_norm_blob11"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale11"
  type: "Scale"
  bottom: "batch_norm_blob11"
  top: "batch_norm_blob11"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu10"
  type: "ReLU"
  bottom: "batch_norm_blob11"
  top: "relu_blob10"
}
layer {
  name: "conv12"
  type: "Convolution"
  bottom: "relu_blob9"
  top: "conv_blob12"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm12"
  type: "BatchNorm"
  bottom: "conv_blob12"
  top: "batch_norm_blob12"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale12"
  type: "Scale"
  bottom: "batch_norm_blob12"
  top: "batch_norm_blob12"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu11"
  type: "ReLU"
  bottom: "batch_norm_blob12"
  top: "relu_blob11"
}
layer {
  name: "conv13"
  type: "Convolution"
  bottom: "relu_blob11"
  top: "conv_blob13"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm13"
  type: "BatchNorm"
  bottom: "conv_blob13"
  top: "batch_norm_blob13"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale13"
  type: "Scale"
  bottom: "batch_norm_blob13"
  top: "batch_norm_blob13"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add3"
  type: "Eltwise"
  bottom: "batch_norm_blob13"
  bottom: "relu_blob9"
  top: "add_blob3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu12"
  type: "ReLU"
  bottom: "add_blob3"
  top: "relu_blob12"
}
layer {
  name: "conv14"
  type: "Convolution"
  bottom: "relu_blob12"
  top: "conv_blob14"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm14"
  type: "BatchNorm"
  bottom: "conv_blob14"
  top: "batch_norm_blob14"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale14"
  type: "Scale"
  bottom: "batch_norm_blob14"
  top: "batch_norm_blob14"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu13"
  type: "ReLU"
  bottom: "batch_norm_blob14"
  top: "relu_blob13"
}
layer {
  name: "conv15"
  type: "Convolution"
  bottom: "relu_blob13"
  top: "conv_blob15"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm15"
  type: "BatchNorm"
  bottom: "conv_blob15"
  top: "batch_norm_blob15"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale15"
  type: "Scale"
  bottom: "batch_norm_blob15"
  top: "batch_norm_blob15"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add4"
  type: "Eltwise"
  bottom: "batch_norm_blob15"
  bottom: "relu_blob12"
  top: "add_blob4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu14"
  type: "ReLU"
  bottom: "add_blob4"
  top: "relu_blob14"
}
layer {
  name: "conv16"
  type: "Convolution"
  bottom: "relu_blob10"
  top: "conv_blob16"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm16"
  type: "BatchNorm"
  bottom: "conv_blob16"
  top: "batch_norm_blob16"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale16"
  type: "Scale"
  bottom: "batch_norm_blob16"
  top: "batch_norm_blob16"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu15"
  type: "ReLU"
  bottom: "batch_norm_blob16"
  top: "relu_blob15"
}
layer {
  name: "conv17"
  type: "Convolution"
  bottom: "relu_blob15"
  top: "conv_blob17"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm17"
  type: "BatchNorm"
  bottom: "conv_blob17"
  top: "batch_norm_blob17"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale17"
  type: "Scale"
  bottom: "batch_norm_blob17"
  top: "batch_norm_blob17"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add5"
  type: "Eltwise"
  bottom: "batch_norm_blob17"
  bottom: "relu_blob10"
  top: "add_blob5"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu16"
  type: "ReLU"
  bottom: "add_blob5"
  top: "relu_blob16"
}
layer {
  name: "conv18"
  type: "Convolution"
  bottom: "relu_blob16"
  top: "conv_blob18"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm18"
  type: "BatchNorm"
  bottom: "conv_blob18"
  top: "batch_norm_blob18"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale18"
  type: "Scale"
  bottom: "batch_norm_blob18"
  top: "batch_norm_blob18"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu17"
  type: "ReLU"
  bottom: "batch_norm_blob18"
  top: "relu_blob17"
}
layer {
  name: "conv19"
  type: "Convolution"
  bottom: "relu_blob17"
  top: "conv_blob19"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm19"
  type: "BatchNorm"
  bottom: "conv_blob19"
  top: "batch_norm_blob19"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale19"
  type: "Scale"
  bottom: "batch_norm_blob19"
  top: "batch_norm_blob19"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add6"
  type: "Eltwise"
  bottom: "batch_norm_blob19"
  bottom: "relu_blob16"
  top: "add_blob6"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu18"
  type: "ReLU"
  bottom: "add_blob6"
  top: "relu_blob18"
}
layer {
  name: "conv20"
  type: "Convolution"
  bottom: "relu_blob18"
  top: "conv_blob20"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm20"
  type: "BatchNorm"
  bottom: "conv_blob20"
  top: "batch_norm_blob20"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale20"
  type: "Scale"
  bottom: "batch_norm_blob20"
  top: "batch_norm_blob20"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample1"
  type: "Interp"
  bottom: "batch_norm_blob20"
  top: "upsample_blob1"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add7"
  type: "Eltwise"
  bottom: "relu_blob14"
  bottom: "upsample_blob1"
  top: "add_blob7"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu19"
  type: "ReLU"
  bottom: "add_blob7"
  top: "relu_blob19"
}
layer {
  name: "conv21"
  type: "Convolution"
  bottom: "relu_blob14"
  top: "conv_blob21"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm21"
  type: "BatchNorm"
  bottom: "conv_blob21"
  top: "batch_norm_blob21"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale21"
  type: "Scale"
  bottom: "batch_norm_blob21"
  top: "batch_norm_blob21"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add8"
  type: "Eltwise"
  bottom: "batch_norm_blob21"
  bottom: "relu_blob18"
  top: "add_blob8"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu20"
  type: "ReLU"
  bottom: "add_blob8"
  top: "relu_blob20"
}
layer {
  name: "conv22"
  type: "Convolution"
  bottom: "relu_blob20"
  top: "conv_blob22"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm22"
  type: "BatchNorm"
  bottom: "conv_blob22"
  top: "batch_norm_blob22"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale22"
  type: "Scale"
  bottom: "batch_norm_blob22"
  top: "batch_norm_blob22"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu21"
  type: "ReLU"
  bottom: "batch_norm_blob22"
  top: "relu_blob21"
}
layer {
  name: "conv23"
  type: "Convolution"
  bottom: "relu_blob19"
  top: "conv_blob23"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm23"
  type: "BatchNorm"
  bottom: "conv_blob23"
  top: "batch_norm_blob23"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale23"
  type: "Scale"
  bottom: "batch_norm_blob23"
  top: "batch_norm_blob23"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu22"
  type: "ReLU"
  bottom: "batch_norm_blob23"
  top: "relu_blob22"
}
layer {
  name: "conv24"
  type: "Convolution"
  bottom: "relu_blob22"
  top: "conv_blob24"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm24"
  type: "BatchNorm"
  bottom: "conv_blob24"
  top: "batch_norm_blob24"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale24"
  type: "Scale"
  bottom: "batch_norm_blob24"
  top: "batch_norm_blob24"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add9"
  type: "Eltwise"
  bottom: "batch_norm_blob24"
  bottom: "relu_blob19"
  top: "add_blob9"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu23"
  type: "ReLU"
  bottom: "add_blob9"
  top: "relu_blob23"
}
layer {
  name: "conv25"
  type: "Convolution"
  bottom: "relu_blob23"
  top: "conv_blob25"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm25"
  type: "BatchNorm"
  bottom: "conv_blob25"
  top: "batch_norm_blob25"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale25"
  type: "Scale"
  bottom: "batch_norm_blob25"
  top: "batch_norm_blob25"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu24"
  type: "ReLU"
  bottom: "batch_norm_blob25"
  top: "relu_blob24"
}
layer {
  name: "conv26"
  type: "Convolution"
  bottom: "relu_blob24"
  top: "conv_blob26"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm26"
  type: "BatchNorm"
  bottom: "conv_blob26"
  top: "batch_norm_blob26"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale26"
  type: "Scale"
  bottom: "batch_norm_blob26"
  top: "batch_norm_blob26"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add10"
  type: "Eltwise"
  bottom: "batch_norm_blob26"
  bottom: "relu_blob23"
  top: "add_blob10"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu25"
  type: "ReLU"
  bottom: "add_blob10"
  top: "relu_blob25"
}
layer {
  name: "conv27"
  type: "Convolution"
  bottom: "relu_blob20"
  top: "conv_blob27"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm27"
  type: "BatchNorm"
  bottom: "conv_blob27"
  top: "batch_norm_blob27"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale27"
  type: "Scale"
  bottom: "batch_norm_blob27"
  top: "batch_norm_blob27"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu26"
  type: "ReLU"
  bottom: "batch_norm_blob27"
  top: "relu_blob26"
}
layer {
  name: "conv28"
  type: "Convolution"
  bottom: "relu_blob26"
  top: "conv_blob28"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm28"
  type: "BatchNorm"
  bottom: "conv_blob28"
  top: "batch_norm_blob28"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale28"
  type: "Scale"
  bottom: "batch_norm_blob28"
  top: "batch_norm_blob28"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add11"
  type: "Eltwise"
  bottom: "batch_norm_blob28"
  bottom: "relu_blob20"
  top: "add_blob11"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu27"
  type: "ReLU"
  bottom: "add_blob11"
  top: "relu_blob27"
}
layer {
  name: "conv29"
  type: "Convolution"
  bottom: "relu_blob27"
  top: "conv_blob29"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm29"
  type: "BatchNorm"
  bottom: "conv_blob29"
  top: "batch_norm_blob29"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale29"
  type: "Scale"
  bottom: "batch_norm_blob29"
  top: "batch_norm_blob29"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu28"
  type: "ReLU"
  bottom: "batch_norm_blob29"
  top: "relu_blob28"
}
layer {
  name: "conv30"
  type: "Convolution"
  bottom: "relu_blob28"
  top: "conv_blob30"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm30"
  type: "BatchNorm"
  bottom: "conv_blob30"
  top: "batch_norm_blob30"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale30"
  type: "Scale"
  bottom: "batch_norm_blob30"
  top: "batch_norm_blob30"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add12"
  type: "Eltwise"
  bottom: "batch_norm_blob30"
  bottom: "relu_blob27"
  top: "add_blob12"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu29"
  type: "ReLU"
  bottom: "add_blob12"
  top: "relu_blob29"
}
layer {
  name: "conv31"
  type: "Convolution"
  bottom: "relu_blob21"
  top: "conv_blob31"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm31"
  type: "BatchNorm"
  bottom: "conv_blob31"
  top: "batch_norm_blob31"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale31"
  type: "Scale"
  bottom: "batch_norm_blob31"
  top: "batch_norm_blob31"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu30"
  type: "ReLU"
  bottom: "batch_norm_blob31"
  top: "relu_blob30"
}
layer {
  name: "conv32"
  type: "Convolution"
  bottom: "relu_blob30"
  top: "conv_blob32"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm32"
  type: "BatchNorm"
  bottom: "conv_blob32"
  top: "batch_norm_blob32"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale32"
  type: "Scale"
  bottom: "batch_norm_blob32"
  top: "batch_norm_blob32"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add13"
  type: "Eltwise"
  bottom: "batch_norm_blob32"
  bottom: "relu_blob21"
  top: "add_blob13"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu31"
  type: "ReLU"
  bottom: "add_blob13"
  top: "relu_blob31"
}
layer {
  name: "conv33"
  type: "Convolution"
  bottom: "relu_blob31"
  top: "conv_blob33"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm33"
  type: "BatchNorm"
  bottom: "conv_blob33"
  top: "batch_norm_blob33"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale33"
  type: "Scale"
  bottom: "batch_norm_blob33"
  top: "batch_norm_blob33"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu32"
  type: "ReLU"
  bottom: "batch_norm_blob33"
  top: "relu_blob32"
}
layer {
  name: "conv34"
  type: "Convolution"
  bottom: "relu_blob32"
  top: "conv_blob34"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm34"
  type: "BatchNorm"
  bottom: "conv_blob34"
  top: "batch_norm_blob34"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale34"
  type: "Scale"
  bottom: "batch_norm_blob34"
  top: "batch_norm_blob34"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add14"
  type: "Eltwise"
  bottom: "batch_norm_blob34"
  bottom: "relu_blob31"
  top: "add_blob14"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu33"
  type: "ReLU"
  bottom: "add_blob14"
  top: "relu_blob33"
}
layer {
  name: "conv35"
  type: "Convolution"
  bottom: "relu_blob29"
  top: "conv_blob35"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm35"
  type: "BatchNorm"
  bottom: "conv_blob35"
  top: "batch_norm_blob35"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale35"
  type: "Scale"
  bottom: "batch_norm_blob35"
  top: "batch_norm_blob35"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample2"
  type: "Interp"
  bottom: "batch_norm_blob35"
  top: "upsample_blob2"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add15"
  type: "Eltwise"
  bottom: "relu_blob25"
  bottom: "upsample_blob2"
  top: "add_blob15"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv36"
  type: "Convolution"
  bottom: "relu_blob33"
  top: "conv_blob36"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm36"
  type: "BatchNorm"
  bottom: "conv_blob36"
  top: "batch_norm_blob36"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale36"
  type: "Scale"
  bottom: "batch_norm_blob36"
  top: "batch_norm_blob36"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample3"
  type: "Interp"
  bottom: "batch_norm_blob36"
  top: "upsample_blob3"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add16"
  type: "Eltwise"
  bottom: "add_blob15"
  bottom: "upsample_blob3"
  top: "add_blob16"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu34"
  type: "ReLU"
  bottom: "add_blob16"
  top: "relu_blob34"
}
layer {
  name: "conv37"
  type: "Convolution"
  bottom: "relu_blob25"
  top: "conv_blob37"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm37"
  type: "BatchNorm"
  bottom: "conv_blob37"
  top: "batch_norm_blob37"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale37"
  type: "Scale"
  bottom: "batch_norm_blob37"
  top: "batch_norm_blob37"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add17"
  type: "Eltwise"
  bottom: "batch_norm_blob37"
  bottom: "relu_blob29"
  top: "add_blob17"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv38"
  type: "Convolution"
  bottom: "relu_blob33"
  top: "conv_blob38"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm38"
  type: "BatchNorm"
  bottom: "conv_blob38"
  top: "batch_norm_blob38"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale38"
  type: "Scale"
  bottom: "batch_norm_blob38"
  top: "batch_norm_blob38"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample4"
  type: "Interp"
  bottom: "batch_norm_blob38"
  top: "upsample_blob4"
  interp_param {
    height: 32
    width: 32
  }
}
layer {
  name: "add18"
  type: "Eltwise"
  bottom: "add_blob17"
  bottom: "upsample_blob4"
  top: "add_blob18"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu35"
  type: "ReLU"
  bottom: "add_blob18"
  top: "relu_blob35"
}
layer {
  name: "conv39"
  type: "Convolution"
  bottom: "relu_blob25"
  top: "conv_blob39"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm39"
  type: "BatchNorm"
  bottom: "conv_blob39"
  top: "batch_norm_blob39"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale39"
  type: "Scale"
  bottom: "batch_norm_blob39"
  top: "batch_norm_blob39"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu36"
  type: "ReLU"
  bottom: "batch_norm_blob39"
  top: "relu_blob36"
}
layer {
  name: "conv40"
  type: "Convolution"
  bottom: "relu_blob36"
  top: "conv_blob40"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm40"
  type: "BatchNorm"
  bottom: "conv_blob40"
  top: "batch_norm_blob40"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale40"
  type: "Scale"
  bottom: "batch_norm_blob40"
  top: "batch_norm_blob40"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv41"
  type: "Convolution"
  bottom: "relu_blob29"
  top: "conv_blob41"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm41"
  type: "BatchNorm"
  bottom: "conv_blob41"
  top: "batch_norm_blob41"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale41"
  type: "Scale"
  bottom: "batch_norm_blob41"
  top: "batch_norm_blob41"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add19"
  type: "Eltwise"
  bottom: "batch_norm_blob40"
  bottom: "batch_norm_blob41"
  top: "add_blob19"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "add20"
  type: "Eltwise"
  bottom: "add_blob19"
  bottom: "relu_blob33"
  top: "add_blob20"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu37"
  type: "ReLU"
  bottom: "add_blob20"
  top: "relu_blob37"
}
layer {
  name: "conv42"
  type: "Convolution"
  bottom: "relu_blob34"
  top: "conv_blob42"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm42"
  type: "BatchNorm"
  bottom: "conv_blob42"
  top: "batch_norm_blob42"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale42"
  type: "Scale"
  bottom: "batch_norm_blob42"
  top: "batch_norm_blob42"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu38"
  type: "ReLU"
  bottom: "batch_norm_blob42"
  top: "relu_blob38"
}
layer {
  name: "conv43"
  type: "Convolution"
  bottom: "relu_blob38"
  top: "conv_blob43"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm43"
  type: "BatchNorm"
  bottom: "conv_blob43"
  top: "batch_norm_blob43"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale43"
  type: "Scale"
  bottom: "batch_norm_blob43"
  top: "batch_norm_blob43"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add21"
  type: "Eltwise"
  bottom: "batch_norm_blob43"
  bottom: "relu_blob34"
  top: "add_blob21"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu39"
  type: "ReLU"
  bottom: "add_blob21"
  top: "relu_blob39"
}
layer {
  name: "conv44"
  type: "Convolution"
  bottom: "relu_blob39"
  top: "conv_blob44"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm44"
  type: "BatchNorm"
  bottom: "conv_blob44"
  top: "batch_norm_blob44"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale44"
  type: "Scale"
  bottom: "batch_norm_blob44"
  top: "batch_norm_blob44"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu40"
  type: "ReLU"
  bottom: "batch_norm_blob44"
  top: "relu_blob40"
}
layer {
  name: "conv45"
  type: "Convolution"
  bottom: "relu_blob40"
  top: "conv_blob45"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm45"
  type: "BatchNorm"
  bottom: "conv_blob45"
  top: "batch_norm_blob45"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale45"
  type: "Scale"
  bottom: "batch_norm_blob45"
  top: "batch_norm_blob45"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add22"
  type: "Eltwise"
  bottom: "batch_norm_blob45"
  bottom: "relu_blob39"
  top: "add_blob22"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu41"
  type: "ReLU"
  bottom: "add_blob22"
  top: "relu_blob41"
}
layer {
  name: "conv46"
  type: "Convolution"
  bottom: "relu_blob35"
  top: "conv_blob46"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm46"
  type: "BatchNorm"
  bottom: "conv_blob46"
  top: "batch_norm_blob46"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale46"
  type: "Scale"
  bottom: "batch_norm_blob46"
  top: "batch_norm_blob46"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu42"
  type: "ReLU"
  bottom: "batch_norm_blob46"
  top: "relu_blob42"
}
layer {
  name: "conv47"
  type: "Convolution"
  bottom: "relu_blob42"
  top: "conv_blob47"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm47"
  type: "BatchNorm"
  bottom: "conv_blob47"
  top: "batch_norm_blob47"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale47"
  type: "Scale"
  bottom: "batch_norm_blob47"
  top: "batch_norm_blob47"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add23"
  type: "Eltwise"
  bottom: "batch_norm_blob47"
  bottom: "relu_blob35"
  top: "add_blob23"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu43"
  type: "ReLU"
  bottom: "add_blob23"
  top: "relu_blob43"
}
layer {
  name: "conv48"
  type: "Convolution"
  bottom: "relu_blob43"
  top: "conv_blob48"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm48"
  type: "BatchNorm"
  bottom: "conv_blob48"
  top: "batch_norm_blob48"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale48"
  type: "Scale"
  bottom: "batch_norm_blob48"
  top: "batch_norm_blob48"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu44"
  type: "ReLU"
  bottom: "batch_norm_blob48"
  top: "relu_blob44"
}
layer {
  name: "conv49"
  type: "Convolution"
  bottom: "relu_blob44"
  top: "conv_blob49"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm49"
  type: "BatchNorm"
  bottom: "conv_blob49"
  top: "batch_norm_blob49"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale49"
  type: "Scale"
  bottom: "batch_norm_blob49"
  top: "batch_norm_blob49"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add24"
  type: "Eltwise"
  bottom: "batch_norm_blob49"
  bottom: "relu_blob43"
  top: "add_blob24"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu45"
  type: "ReLU"
  bottom: "add_blob24"
  top: "relu_blob45"
}
layer {
  name: "conv50"
  type: "Convolution"
  bottom: "relu_blob37"
  top: "conv_blob50"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm50"
  type: "BatchNorm"
  bottom: "conv_blob50"
  top: "batch_norm_blob50"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale50"
  type: "Scale"
  bottom: "batch_norm_blob50"
  top: "batch_norm_blob50"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu46"
  type: "ReLU"
  bottom: "batch_norm_blob50"
  top: "relu_blob46"
}
layer {
  name: "conv51"
  type: "Convolution"
  bottom: "relu_blob46"
  top: "conv_blob51"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm51"
  type: "BatchNorm"
  bottom: "conv_blob51"
  top: "batch_norm_blob51"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale51"
  type: "Scale"
  bottom: "batch_norm_blob51"
  top: "batch_norm_blob51"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add25"
  type: "Eltwise"
  bottom: "batch_norm_blob51"
  bottom: "relu_blob37"
  top: "add_blob25"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu47"
  type: "ReLU"
  bottom: "add_blob25"
  top: "relu_blob47"
}
layer {
  name: "conv52"
  type: "Convolution"
  bottom: "relu_blob47"
  top: "conv_blob52"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm52"
  type: "BatchNorm"
  bottom: "conv_blob52"
  top: "batch_norm_blob52"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale52"
  type: "Scale"
  bottom: "batch_norm_blob52"
  top: "batch_norm_blob52"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu48"
  type: "ReLU"
  bottom: "batch_norm_blob52"
  top: "relu_blob48"
}
layer {
  name: "conv53"
  type: "Convolution"
  bottom: "relu_blob48"
  top: "conv_blob53"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm53"
  type: "BatchNorm"
  bottom: "conv_blob53"
  top: "batch_norm_blob53"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale53"
  type: "Scale"
  bottom: "batch_norm_blob53"
  top: "batch_norm_blob53"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add26"
  type: "Eltwise"
  bottom: "batch_norm_blob53"
  bottom: "relu_blob47"
  top: "add_blob26"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu49"
  type: "ReLU"
  bottom: "add_blob26"
  top: "relu_blob49"
}
layer {
  name: "conv54"
  type: "Convolution"
  bottom: "relu_blob45"
  top: "conv_blob54"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm54"
  type: "BatchNorm"
  bottom: "conv_blob54"
  top: "batch_norm_blob54"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale54"
  type: "Scale"
  bottom: "batch_norm_blob54"
  top: "batch_norm_blob54"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample5"
  type: "Interp"
  bottom: "batch_norm_blob54"
  top: "upsample_blob5"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add27"
  type: "Eltwise"
  bottom: "relu_blob41"
  bottom: "upsample_blob5"
  top: "add_blob27"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv55"
  type: "Convolution"
  bottom: "relu_blob49"
  top: "conv_blob55"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm55"
  type: "BatchNorm"
  bottom: "conv_blob55"
  top: "batch_norm_blob55"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale55"
  type: "Scale"
  bottom: "batch_norm_blob55"
  top: "batch_norm_blob55"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample6"
  type: "Interp"
  bottom: "batch_norm_blob55"
  top: "upsample_blob6"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add28"
  type: "Eltwise"
  bottom: "add_blob27"
  bottom: "upsample_blob6"
  top: "add_blob28"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu50"
  type: "ReLU"
  bottom: "add_blob28"
  top: "relu_blob50"
}
layer {
  name: "conv56"
  type: "Convolution"
  bottom: "relu_blob41"
  top: "conv_blob56"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm56"
  type: "BatchNorm"
  bottom: "conv_blob56"
  top: "batch_norm_blob56"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale56"
  type: "Scale"
  bottom: "batch_norm_blob56"
  top: "batch_norm_blob56"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add29"
  type: "Eltwise"
  bottom: "batch_norm_blob56"
  bottom: "relu_blob45"
  top: "add_blob29"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv57"
  type: "Convolution"
  bottom: "relu_blob49"
  top: "conv_blob57"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm57"
  type: "BatchNorm"
  bottom: "conv_blob57"
  top: "batch_norm_blob57"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale57"
  type: "Scale"
  bottom: "batch_norm_blob57"
  top: "batch_norm_blob57"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample7"
  type: "Interp"
  bottom: "batch_norm_blob57"
  top: "upsample_blob7"
  interp_param {
    height: 32
    width: 32
  }
}
layer {
  name: "add30"
  type: "Eltwise"
  bottom: "add_blob29"
  bottom: "upsample_blob7"
  top: "add_blob30"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu51"
  type: "ReLU"
  bottom: "add_blob30"
  top: "relu_blob51"
}
layer {
  name: "conv58"
  type: "Convolution"
  bottom: "relu_blob41"
  top: "conv_blob58"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm58"
  type: "BatchNorm"
  bottom: "conv_blob58"
  top: "batch_norm_blob58"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale58"
  type: "Scale"
  bottom: "batch_norm_blob58"
  top: "batch_norm_blob58"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu52"
  type: "ReLU"
  bottom: "batch_norm_blob58"
  top: "relu_blob52"
}
layer {
  name: "conv59"
  type: "Convolution"
  bottom: "relu_blob52"
  top: "conv_blob59"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm59"
  type: "BatchNorm"
  bottom: "conv_blob59"
  top: "batch_norm_blob59"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale59"
  type: "Scale"
  bottom: "batch_norm_blob59"
  top: "batch_norm_blob59"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv60"
  type: "Convolution"
  bottom: "relu_blob45"
  top: "conv_blob60"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm60"
  type: "BatchNorm"
  bottom: "conv_blob60"
  top: "batch_norm_blob60"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale60"
  type: "Scale"
  bottom: "batch_norm_blob60"
  top: "batch_norm_blob60"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add31"
  type: "Eltwise"
  bottom: "batch_norm_blob59"
  bottom: "batch_norm_blob60"
  top: "add_blob31"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "add32"
  type: "Eltwise"
  bottom: "add_blob31"
  bottom: "relu_blob49"
  top: "add_blob32"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu53"
  type: "ReLU"
  bottom: "add_blob32"
  top: "relu_blob53"
}
layer {
  name: "conv61"
  type: "Convolution"
  bottom: "relu_blob50"
  top: "conv_blob61"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm61"
  type: "BatchNorm"
  bottom: "conv_blob61"
  top: "batch_norm_blob61"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale61"
  type: "Scale"
  bottom: "batch_norm_blob61"
  top: "batch_norm_blob61"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu54"
  type: "ReLU"
  bottom: "batch_norm_blob61"
  top: "relu_blob54"
}
layer {
  name: "conv62"
  type: "Convolution"
  bottom: "relu_blob54"
  top: "conv_blob62"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm62"
  type: "BatchNorm"
  bottom: "conv_blob62"
  top: "batch_norm_blob62"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale62"
  type: "Scale"
  bottom: "batch_norm_blob62"
  top: "batch_norm_blob62"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add33"
  type: "Eltwise"
  bottom: "batch_norm_blob62"
  bottom: "relu_blob50"
  top: "add_blob33"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu55"
  type: "ReLU"
  bottom: "add_blob33"
  top: "relu_blob55"
}
layer {
  name: "conv63"
  type: "Convolution"
  bottom: "relu_blob55"
  top: "conv_blob63"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm63"
  type: "BatchNorm"
  bottom: "conv_blob63"
  top: "batch_norm_blob63"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale63"
  type: "Scale"
  bottom: "batch_norm_blob63"
  top: "batch_norm_blob63"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu56"
  type: "ReLU"
  bottom: "batch_norm_blob63"
  top: "relu_blob56"
}
layer {
  name: "conv64"
  type: "Convolution"
  bottom: "relu_blob56"
  top: "conv_blob64"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm64"
  type: "BatchNorm"
  bottom: "conv_blob64"
  top: "batch_norm_blob64"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale64"
  type: "Scale"
  bottom: "batch_norm_blob64"
  top: "batch_norm_blob64"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add34"
  type: "Eltwise"
  bottom: "batch_norm_blob64"
  bottom: "relu_blob55"
  top: "add_blob34"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu57"
  type: "ReLU"
  bottom: "add_blob34"
  top: "relu_blob57"
}
layer {
  name: "conv65"
  type: "Convolution"
  bottom: "relu_blob51"
  top: "conv_blob65"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm65"
  type: "BatchNorm"
  bottom: "conv_blob65"
  top: "batch_norm_blob65"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale65"
  type: "Scale"
  bottom: "batch_norm_blob65"
  top: "batch_norm_blob65"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu58"
  type: "ReLU"
  bottom: "batch_norm_blob65"
  top: "relu_blob58"
}
layer {
  name: "conv66"
  type: "Convolution"
  bottom: "relu_blob58"
  top: "conv_blob66"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm66"
  type: "BatchNorm"
  bottom: "conv_blob66"
  top: "batch_norm_blob66"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale66"
  type: "Scale"
  bottom: "batch_norm_blob66"
  top: "batch_norm_blob66"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add35"
  type: "Eltwise"
  bottom: "batch_norm_blob66"
  bottom: "relu_blob51"
  top: "add_blob35"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu59"
  type: "ReLU"
  bottom: "add_blob35"
  top: "relu_blob59"
}
layer {
  name: "conv67"
  type: "Convolution"
  bottom: "relu_blob59"
  top: "conv_blob67"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm67"
  type: "BatchNorm"
  bottom: "conv_blob67"
  top: "batch_norm_blob67"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale67"
  type: "Scale"
  bottom: "batch_norm_blob67"
  top: "batch_norm_blob67"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu60"
  type: "ReLU"
  bottom: "batch_norm_blob67"
  top: "relu_blob60"
}
layer {
  name: "conv68"
  type: "Convolution"
  bottom: "relu_blob60"
  top: "conv_blob68"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm68"
  type: "BatchNorm"
  bottom: "conv_blob68"
  top: "batch_norm_blob68"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale68"
  type: "Scale"
  bottom: "batch_norm_blob68"
  top: "batch_norm_blob68"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add36"
  type: "Eltwise"
  bottom: "batch_norm_blob68"
  bottom: "relu_blob59"
  top: "add_blob36"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu61"
  type: "ReLU"
  bottom: "add_blob36"
  top: "relu_blob61"
}
layer {
  name: "conv69"
  type: "Convolution"
  bottom: "relu_blob53"
  top: "conv_blob69"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm69"
  type: "BatchNorm"
  bottom: "conv_blob69"
  top: "batch_norm_blob69"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale69"
  type: "Scale"
  bottom: "batch_norm_blob69"
  top: "batch_norm_blob69"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu62"
  type: "ReLU"
  bottom: "batch_norm_blob69"
  top: "relu_blob62"
}
layer {
  name: "conv70"
  type: "Convolution"
  bottom: "relu_blob62"
  top: "conv_blob70"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm70"
  type: "BatchNorm"
  bottom: "conv_blob70"
  top: "batch_norm_blob70"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale70"
  type: "Scale"
  bottom: "batch_norm_blob70"
  top: "batch_norm_blob70"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add37"
  type: "Eltwise"
  bottom: "batch_norm_blob70"
  bottom: "relu_blob53"
  top: "add_blob37"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu63"
  type: "ReLU"
  bottom: "add_blob37"
  top: "relu_blob63"
}
layer {
  name: "conv71"
  type: "Convolution"
  bottom: "relu_blob63"
  top: "conv_blob71"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm71"
  type: "BatchNorm"
  bottom: "conv_blob71"
  top: "batch_norm_blob71"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale71"
  type: "Scale"
  bottom: "batch_norm_blob71"
  top: "batch_norm_blob71"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu64"
  type: "ReLU"
  bottom: "batch_norm_blob71"
  top: "relu_blob64"
}
layer {
  name: "conv72"
  type: "Convolution"
  bottom: "relu_blob64"
  top: "conv_blob72"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm72"
  type: "BatchNorm"
  bottom: "conv_blob72"
  top: "batch_norm_blob72"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale72"
  type: "Scale"
  bottom: "batch_norm_blob72"
  top: "batch_norm_blob72"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add38"
  type: "Eltwise"
  bottom: "batch_norm_blob72"
  bottom: "relu_blob63"
  top: "add_blob38"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu65"
  type: "ReLU"
  bottom: "add_blob38"
  top: "relu_blob65"
}
layer {
  name: "conv73"
  type: "Convolution"
  bottom: "relu_blob61"
  top: "conv_blob73"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm73"
  type: "BatchNorm"
  bottom: "conv_blob73"
  top: "batch_norm_blob73"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale73"
  type: "Scale"
  bottom: "batch_norm_blob73"
  top: "batch_norm_blob73"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample8"
  type: "Interp"
  bottom: "batch_norm_blob73"
  top: "upsample_blob8"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add39"
  type: "Eltwise"
  bottom: "relu_blob57"
  bottom: "upsample_blob8"
  top: "add_blob39"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv74"
  type: "Convolution"
  bottom: "relu_blob65"
  top: "conv_blob74"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm74"
  type: "BatchNorm"
  bottom: "conv_blob74"
  top: "batch_norm_blob74"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale74"
  type: "Scale"
  bottom: "batch_norm_blob74"
  top: "batch_norm_blob74"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample9"
  type: "Interp"
  bottom: "batch_norm_blob74"
  top: "upsample_blob9"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add40"
  type: "Eltwise"
  bottom: "add_blob39"
  bottom: "upsample_blob9"
  top: "add_blob40"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu66"
  type: "ReLU"
  bottom: "add_blob40"
  top: "relu_blob66"
}
layer {
  name: "conv75"
  type: "Convolution"
  bottom: "relu_blob57"
  top: "conv_blob75"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm75"
  type: "BatchNorm"
  bottom: "conv_blob75"
  top: "batch_norm_blob75"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale75"
  type: "Scale"
  bottom: "batch_norm_blob75"
  top: "batch_norm_blob75"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add41"
  type: "Eltwise"
  bottom: "batch_norm_blob75"
  bottom: "relu_blob61"
  top: "add_blob41"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv76"
  type: "Convolution"
  bottom: "relu_blob65"
  top: "conv_blob76"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm76"
  type: "BatchNorm"
  bottom: "conv_blob76"
  top: "batch_norm_blob76"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale76"
  type: "Scale"
  bottom: "batch_norm_blob76"
  top: "batch_norm_blob76"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample10"
  type: "Interp"
  bottom: "batch_norm_blob76"
  top: "upsample_blob10"
  interp_param {
    height: 32
    width: 32
  }
}
layer {
  name: "add42"
  type: "Eltwise"
  bottom: "add_blob41"
  bottom: "upsample_blob10"
  top: "add_blob42"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu67"
  type: "ReLU"
  bottom: "add_blob42"
  top: "relu_blob67"
}
layer {
  name: "conv77"
  type: "Convolution"
  bottom: "relu_blob57"
  top: "conv_blob77"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm77"
  type: "BatchNorm"
  bottom: "conv_blob77"
  top: "batch_norm_blob77"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale77"
  type: "Scale"
  bottom: "batch_norm_blob77"
  top: "batch_norm_blob77"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu68"
  type: "ReLU"
  bottom: "batch_norm_blob77"
  top: "relu_blob68"
}
layer {
  name: "conv78"
  type: "Convolution"
  bottom: "relu_blob68"
  top: "conv_blob78"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm78"
  type: "BatchNorm"
  bottom: "conv_blob78"
  top: "batch_norm_blob78"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale78"
  type: "Scale"
  bottom: "batch_norm_blob78"
  top: "batch_norm_blob78"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv79"
  type: "Convolution"
  bottom: "relu_blob61"
  top: "conv_blob79"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm79"
  type: "BatchNorm"
  bottom: "conv_blob79"
  top: "batch_norm_blob79"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale79"
  type: "Scale"
  bottom: "batch_norm_blob79"
  top: "batch_norm_blob79"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add43"
  type: "Eltwise"
  bottom: "batch_norm_blob78"
  bottom: "batch_norm_blob79"
  top: "add_blob43"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "add44"
  type: "Eltwise"
  bottom: "add_blob43"
  bottom: "relu_blob65"
  top: "add_blob44"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu69"
  type: "ReLU"
  bottom: "add_blob44"
  top: "relu_blob69"
}
layer {
  name: "conv80"
  type: "Convolution"
  bottom: "relu_blob69"
  top: "conv_blob80"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm80"
  type: "BatchNorm"
  bottom: "conv_blob80"
  top: "batch_norm_blob80"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale80"
  type: "Scale"
  bottom: "batch_norm_blob80"
  top: "batch_norm_blob80"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu70"
  type: "ReLU"
  bottom: "batch_norm_blob80"
  top: "relu_blob70"
}
layer {
  name: "conv81"
  type: "Convolution"
  bottom: "relu_blob66"
  top: "conv_blob81"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm81"
  type: "BatchNorm"
  bottom: "conv_blob81"
  top: "batch_norm_blob81"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale81"
  type: "Scale"
  bottom: "batch_norm_blob81"
  top: "batch_norm_blob81"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu71"
  type: "ReLU"
  bottom: "batch_norm_blob81"
  top: "relu_blob71"
}
layer {
  name: "conv82"
  type: "Convolution"
  bottom: "relu_blob71"
  top: "conv_blob82"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm82"
  type: "BatchNorm"
  bottom: "conv_blob82"
  top: "batch_norm_blob82"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale82"
  type: "Scale"
  bottom: "batch_norm_blob82"
  top: "batch_norm_blob82"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add45"
  type: "Eltwise"
  bottom: "batch_norm_blob82"
  bottom: "relu_blob66"
  top: "add_blob45"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu72"
  type: "ReLU"
  bottom: "add_blob45"
  top: "relu_blob72"
}
layer {
  name: "conv83"
  type: "Convolution"
  bottom: "relu_blob72"
  top: "conv_blob83"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm83"
  type: "BatchNorm"
  bottom: "conv_blob83"
  top: "batch_norm_blob83"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale83"
  type: "Scale"
  bottom: "batch_norm_blob83"
  top: "batch_norm_blob83"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu73"
  type: "ReLU"
  bottom: "batch_norm_blob83"
  top: "relu_blob73"
}
layer {
  name: "conv84"
  type: "Convolution"
  bottom: "relu_blob73"
  top: "conv_blob84"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm84"
  type: "BatchNorm"
  bottom: "conv_blob84"
  top: "batch_norm_blob84"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale84"
  type: "Scale"
  bottom: "batch_norm_blob84"
  top: "batch_norm_blob84"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add46"
  type: "Eltwise"
  bottom: "batch_norm_blob84"
  bottom: "relu_blob72"
  top: "add_blob46"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu74"
  type: "ReLU"
  bottom: "add_blob46"
  top: "relu_blob74"
}
layer {
  name: "conv85"
  type: "Convolution"
  bottom: "relu_blob67"
  top: "conv_blob85"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm85"
  type: "BatchNorm"
  bottom: "conv_blob85"
  top: "batch_norm_blob85"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale85"
  type: "Scale"
  bottom: "batch_norm_blob85"
  top: "batch_norm_blob85"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu75"
  type: "ReLU"
  bottom: "batch_norm_blob85"
  top: "relu_blob75"
}
layer {
  name: "conv86"
  type: "Convolution"
  bottom: "relu_blob75"
  top: "conv_blob86"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm86"
  type: "BatchNorm"
  bottom: "conv_blob86"
  top: "batch_norm_blob86"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale86"
  type: "Scale"
  bottom: "batch_norm_blob86"
  top: "batch_norm_blob86"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add47"
  type: "Eltwise"
  bottom: "batch_norm_blob86"
  bottom: "relu_blob67"
  top: "add_blob47"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu76"
  type: "ReLU"
  bottom: "add_blob47"
  top: "relu_blob76"
}
layer {
  name: "conv87"
  type: "Convolution"
  bottom: "relu_blob76"
  top: "conv_blob87"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm87"
  type: "BatchNorm"
  bottom: "conv_blob87"
  top: "batch_norm_blob87"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale87"
  type: "Scale"
  bottom: "batch_norm_blob87"
  top: "batch_norm_blob87"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu77"
  type: "ReLU"
  bottom: "batch_norm_blob87"
  top: "relu_blob77"
}
layer {
  name: "conv88"
  type: "Convolution"
  bottom: "relu_blob77"
  top: "conv_blob88"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm88"
  type: "BatchNorm"
  bottom: "conv_blob88"
  top: "batch_norm_blob88"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale88"
  type: "Scale"
  bottom: "batch_norm_blob88"
  top: "batch_norm_blob88"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add48"
  type: "Eltwise"
  bottom: "batch_norm_blob88"
  bottom: "relu_blob76"
  top: "add_blob48"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu78"
  type: "ReLU"
  bottom: "add_blob48"
  top: "relu_blob78"
}
layer {
  name: "conv89"
  type: "Convolution"
  bottom: "relu_blob69"
  top: "conv_blob89"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm89"
  type: "BatchNorm"
  bottom: "conv_blob89"
  top: "batch_norm_blob89"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale89"
  type: "Scale"
  bottom: "batch_norm_blob89"
  top: "batch_norm_blob89"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu79"
  type: "ReLU"
  bottom: "batch_norm_blob89"
  top: "relu_blob79"
}
layer {
  name: "conv90"
  type: "Convolution"
  bottom: "relu_blob79"
  top: "conv_blob90"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm90"
  type: "BatchNorm"
  bottom: "conv_blob90"
  top: "batch_norm_blob90"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale90"
  type: "Scale"
  bottom: "batch_norm_blob90"
  top: "batch_norm_blob90"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add49"
  type: "Eltwise"
  bottom: "batch_norm_blob90"
  bottom: "relu_blob69"
  top: "add_blob49"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu80"
  type: "ReLU"
  bottom: "add_blob49"
  top: "relu_blob80"
}
layer {
  name: "conv91"
  type: "Convolution"
  bottom: "relu_blob80"
  top: "conv_blob91"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm91"
  type: "BatchNorm"
  bottom: "conv_blob91"
  top: "batch_norm_blob91"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale91"
  type: "Scale"
  bottom: "batch_norm_blob91"
  top: "batch_norm_blob91"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu81"
  type: "ReLU"
  bottom: "batch_norm_blob91"
  top: "relu_blob81"
}
layer {
  name: "conv92"
  type: "Convolution"
  bottom: "relu_blob81"
  top: "conv_blob92"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm92"
  type: "BatchNorm"
  bottom: "conv_blob92"
  top: "batch_norm_blob92"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale92"
  type: "Scale"
  bottom: "batch_norm_blob92"
  top: "batch_norm_blob92"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add50"
  type: "Eltwise"
  bottom: "batch_norm_blob92"
  bottom: "relu_blob80"
  top: "add_blob50"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu82"
  type: "ReLU"
  bottom: "add_blob50"
  top: "relu_blob82"
}
layer {
  name: "conv93"
  type: "Convolution"
  bottom: "relu_blob70"
  top: "conv_blob93"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm93"
  type: "BatchNorm"
  bottom: "conv_blob93"
  top: "batch_norm_blob93"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale93"
  type: "Scale"
  bottom: "batch_norm_blob93"
  top: "batch_norm_blob93"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu83"
  type: "ReLU"
  bottom: "batch_norm_blob93"
  top: "relu_blob83"
}
layer {
  name: "conv94"
  type: "Convolution"
  bottom: "relu_blob83"
  top: "conv_blob94"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm94"
  type: "BatchNorm"
  bottom: "conv_blob94"
  top: "batch_norm_blob94"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale94"
  type: "Scale"
  bottom: "batch_norm_blob94"
  top: "batch_norm_blob94"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add51"
  type: "Eltwise"
  bottom: "batch_norm_blob94"
  bottom: "relu_blob70"
  top: "add_blob51"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu84"
  type: "ReLU"
  bottom: "add_blob51"
  top: "relu_blob84"
}
layer {
  name: "conv95"
  type: "Convolution"
  bottom: "relu_blob84"
  top: "conv_blob95"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm95"
  type: "BatchNorm"
  bottom: "conv_blob95"
  top: "batch_norm_blob95"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale95"
  type: "Scale"
  bottom: "batch_norm_blob95"
  top: "batch_norm_blob95"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu85"
  type: "ReLU"
  bottom: "batch_norm_blob95"
  top: "relu_blob85"
}
layer {
  name: "conv96"
  type: "Convolution"
  bottom: "relu_blob85"
  top: "conv_blob96"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm96"
  type: "BatchNorm"
  bottom: "conv_blob96"
  top: "batch_norm_blob96"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale96"
  type: "Scale"
  bottom: "batch_norm_blob96"
  top: "batch_norm_blob96"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add52"
  type: "Eltwise"
  bottom: "batch_norm_blob96"
  bottom: "relu_blob84"
  top: "add_blob52"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu86"
  type: "ReLU"
  bottom: "add_blob52"
  top: "relu_blob86"
}
layer {
  name: "conv97"
  type: "Convolution"
  bottom: "relu_blob78"
  top: "conv_blob97"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm97"
  type: "BatchNorm"
  bottom: "conv_blob97"
  top: "batch_norm_blob97"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale97"
  type: "Scale"
  bottom: "batch_norm_blob97"
  top: "batch_norm_blob97"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample11"
  type: "Interp"
  bottom: "batch_norm_blob97"
  top: "upsample_blob11"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add53"
  type: "Eltwise"
  bottom: "relu_blob74"
  bottom: "upsample_blob11"
  top: "add_blob53"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv98"
  type: "Convolution"
  bottom: "relu_blob82"
  top: "conv_blob98"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm98"
  type: "BatchNorm"
  bottom: "conv_blob98"
  top: "batch_norm_blob98"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale98"
  type: "Scale"
  bottom: "batch_norm_blob98"
  top: "batch_norm_blob98"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample12"
  type: "Interp"
  bottom: "batch_norm_blob98"
  top: "upsample_blob12"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add54"
  type: "Eltwise"
  bottom: "add_blob53"
  bottom: "upsample_blob12"
  top: "add_blob54"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv99"
  type: "Convolution"
  bottom: "relu_blob86"
  top: "conv_blob99"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm99"
  type: "BatchNorm"
  bottom: "conv_blob99"
  top: "batch_norm_blob99"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale99"
  type: "Scale"
  bottom: "batch_norm_blob99"
  top: "batch_norm_blob99"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample13"
  type: "Interp"
  bottom: "batch_norm_blob99"
  top: "upsample_blob13"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add55"
  type: "Eltwise"
  bottom: "add_blob54"
  bottom: "upsample_blob13"
  top: "add_blob55"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu87"
  type: "ReLU"
  bottom: "add_blob55"
  top: "relu_blob87"
}
layer {
  name: "conv100"
  type: "Convolution"
  bottom: "relu_blob74"
  top: "conv_blob100"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm100"
  type: "BatchNorm"
  bottom: "conv_blob100"
  top: "batch_norm_blob100"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale100"
  type: "Scale"
  bottom: "batch_norm_blob100"
  top: "batch_norm_blob100"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add56"
  type: "Eltwise"
  bottom: "batch_norm_blob100"
  bottom: "relu_blob78"
  top: "add_blob56"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv101"
  type: "Convolution"
  bottom: "relu_blob82"
  top: "conv_blob101"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm101"
  type: "BatchNorm"
  bottom: "conv_blob101"
  top: "batch_norm_blob101"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale101"
  type: "Scale"
  bottom: "batch_norm_blob101"
  top: "batch_norm_blob101"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample14"
  type: "Interp"
  bottom: "batch_norm_blob101"
  top: "upsample_blob14"
  interp_param {
    height: 32
    width: 32
  }
}
layer {
  name: "add57"
  type: "Eltwise"
  bottom: "add_blob56"
  bottom: "upsample_blob14"
  top: "add_blob57"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv102"
  type: "Convolution"
  bottom: "relu_blob86"
  top: "conv_blob102"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm102"
  type: "BatchNorm"
  bottom: "conv_blob102"
  top: "batch_norm_blob102"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale102"
  type: "Scale"
  bottom: "batch_norm_blob102"
  top: "batch_norm_blob102"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample15"
  type: "Interp"
  bottom: "batch_norm_blob102"
  top: "upsample_blob15"
  interp_param {
    height: 32
    width: 32
  }
}
layer {
  name: "add58"
  type: "Eltwise"
  bottom: "add_blob57"
  bottom: "upsample_blob15"
  top: "add_blob58"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu88"
  type: "ReLU"
  bottom: "add_blob58"
  top: "relu_blob88"
}
layer {
  name: "conv103"
  type: "Convolution"
  bottom: "relu_blob74"
  top: "conv_blob103"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm103"
  type: "BatchNorm"
  bottom: "conv_blob103"
  top: "batch_norm_blob103"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale103"
  type: "Scale"
  bottom: "batch_norm_blob103"
  top: "batch_norm_blob103"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu89"
  type: "ReLU"
  bottom: "batch_norm_blob103"
  top: "relu_blob89"
}
layer {
  name: "conv104"
  type: "Convolution"
  bottom: "relu_blob89"
  top: "conv_blob104"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm104"
  type: "BatchNorm"
  bottom: "conv_blob104"
  top: "batch_norm_blob104"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale104"
  type: "Scale"
  bottom: "batch_norm_blob104"
  top: "batch_norm_blob104"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv105"
  type: "Convolution"
  bottom: "relu_blob78"
  top: "conv_blob105"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm105"
  type: "BatchNorm"
  bottom: "conv_blob105"
  top: "batch_norm_blob105"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale105"
  type: "Scale"
  bottom: "batch_norm_blob105"
  top: "batch_norm_blob105"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add59"
  type: "Eltwise"
  bottom: "batch_norm_blob104"
  bottom: "batch_norm_blob105"
  top: "add_blob59"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "add60"
  type: "Eltwise"
  bottom: "add_blob59"
  bottom: "relu_blob82"
  top: "add_blob60"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv106"
  type: "Convolution"
  bottom: "relu_blob86"
  top: "conv_blob106"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm106"
  type: "BatchNorm"
  bottom: "conv_blob106"
  top: "batch_norm_blob106"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale106"
  type: "Scale"
  bottom: "batch_norm_blob106"
  top: "batch_norm_blob106"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample16"
  type: "Interp"
  bottom: "batch_norm_blob106"
  top: "upsample_blob16"
  interp_param {
    height: 16
    width: 16
  }
}
layer {
  name: "add61"
  type: "Eltwise"
  bottom: "add_blob60"
  bottom: "upsample_blob16"
  top: "add_blob61"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu90"
  type: "ReLU"
  bottom: "add_blob61"
  top: "relu_blob90"
}
layer {
  name: "conv107"
  type: "Convolution"
  bottom: "relu_blob74"
  top: "conv_blob107"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm107"
  type: "BatchNorm"
  bottom: "conv_blob107"
  top: "batch_norm_blob107"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale107"
  type: "Scale"
  bottom: "batch_norm_blob107"
  top: "batch_norm_blob107"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu91"
  type: "ReLU"
  bottom: "batch_norm_blob107"
  top: "relu_blob91"
}
layer {
  name: "conv108"
  type: "Convolution"
  bottom: "relu_blob91"
  top: "conv_blob108"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm108"
  type: "BatchNorm"
  bottom: "conv_blob108"
  top: "batch_norm_blob108"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale108"
  type: "Scale"
  bottom: "batch_norm_blob108"
  top: "batch_norm_blob108"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu92"
  type: "ReLU"
  bottom: "batch_norm_blob108"
  top: "relu_blob92"
}
layer {
  name: "conv109"
  type: "Convolution"
  bottom: "relu_blob92"
  top: "conv_blob109"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm109"
  type: "BatchNorm"
  bottom: "conv_blob109"
  top: "batch_norm_blob109"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale109"
  type: "Scale"
  bottom: "batch_norm_blob109"
  top: "batch_norm_blob109"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv110"
  type: "Convolution"
  bottom: "relu_blob78"
  top: "conv_blob110"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm110"
  type: "BatchNorm"
  bottom: "conv_blob110"
  top: "batch_norm_blob110"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale110"
  type: "Scale"
  bottom: "batch_norm_blob110"
  top: "batch_norm_blob110"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu93"
  type: "ReLU"
  bottom: "batch_norm_blob110"
  top: "relu_blob93"
}
layer {
  name: "conv111"
  type: "Convolution"
  bottom: "relu_blob93"
  top: "conv_blob111"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm111"
  type: "BatchNorm"
  bottom: "conv_blob111"
  top: "batch_norm_blob111"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale111"
  type: "Scale"
  bottom: "batch_norm_blob111"
  top: "batch_norm_blob111"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add62"
  type: "Eltwise"
  bottom: "batch_norm_blob109"
  bottom: "batch_norm_blob111"
  top: "add_blob62"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv112"
  type: "Convolution"
  bottom: "relu_blob82"
  top: "conv_blob112"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm112"
  type: "BatchNorm"
  bottom: "conv_blob112"
  top: "batch_norm_blob112"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale112"
  type: "Scale"
  bottom: "batch_norm_blob112"
  top: "batch_norm_blob112"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add63"
  type: "Eltwise"
  bottom: "add_blob62"
  bottom: "batch_norm_blob112"
  top: "add_blob63"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "add64"
  type: "Eltwise"
  bottom: "add_blob63"
  bottom: "relu_blob86"
  top: "add_blob64"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu94"
  type: "ReLU"
  bottom: "add_blob64"
  top: "relu_blob94"
}
layer {
  name: "conv113"
  type: "Convolution"
  bottom: "relu_blob87"
  top: "conv_blob113"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm113"
  type: "BatchNorm"
  bottom: "conv_blob113"
  top: "batch_norm_blob113"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale113"
  type: "Scale"
  bottom: "batch_norm_blob113"
  top: "batch_norm_blob113"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu95"
  type: "ReLU"
  bottom: "batch_norm_blob113"
  top: "relu_blob95"
}
layer {
  name: "conv114"
  type: "Convolution"
  bottom: "relu_blob95"
  top: "conv_blob114"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm114"
  type: "BatchNorm"
  bottom: "conv_blob114"
  top: "batch_norm_blob114"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale114"
  type: "Scale"
  bottom: "batch_norm_blob114"
  top: "batch_norm_blob114"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add65"
  type: "Eltwise"
  bottom: "batch_norm_blob114"
  bottom: "relu_blob87"
  top: "add_blob65"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu96"
  type: "ReLU"
  bottom: "add_blob65"
  top: "relu_blob96"
}
layer {
  name: "conv115"
  type: "Convolution"
  bottom: "relu_blob96"
  top: "conv_blob115"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm115"
  type: "BatchNorm"
  bottom: "conv_blob115"
  top: "batch_norm_blob115"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale115"
  type: "Scale"
  bottom: "batch_norm_blob115"
  top: "batch_norm_blob115"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu97"
  type: "ReLU"
  bottom: "batch_norm_blob115"
  top: "relu_blob97"
}
layer {
  name: "conv116"
  type: "Convolution"
  bottom: "relu_blob97"
  top: "conv_blob116"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm116"
  type: "BatchNorm"
  bottom: "conv_blob116"
  top: "batch_norm_blob116"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale116"
  type: "Scale"
  bottom: "batch_norm_blob116"
  top: "batch_norm_blob116"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add66"
  type: "Eltwise"
  bottom: "batch_norm_blob116"
  bottom: "relu_blob96"
  top: "add_blob66"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu98"
  type: "ReLU"
  bottom: "add_blob66"
  top: "relu_blob98"
}
layer {
  name: "conv117"
  type: "Convolution"
  bottom: "relu_blob88"
  top: "conv_blob117"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm117"
  type: "BatchNorm"
  bottom: "conv_blob117"
  top: "batch_norm_blob117"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale117"
  type: "Scale"
  bottom: "batch_norm_blob117"
  top: "batch_norm_blob117"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu99"
  type: "ReLU"
  bottom: "batch_norm_blob117"
  top: "relu_blob99"
}
layer {
  name: "conv118"
  type: "Convolution"
  bottom: "relu_blob99"
  top: "conv_blob118"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm118"
  type: "BatchNorm"
  bottom: "conv_blob118"
  top: "batch_norm_blob118"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale118"
  type: "Scale"
  bottom: "batch_norm_blob118"
  top: "batch_norm_blob118"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add67"
  type: "Eltwise"
  bottom: "batch_norm_blob118"
  bottom: "relu_blob88"
  top: "add_blob67"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu100"
  type: "ReLU"
  bottom: "add_blob67"
  top: "relu_blob100"
}
layer {
  name: "conv119"
  type: "Convolution"
  bottom: "relu_blob100"
  top: "conv_blob119"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm119"
  type: "BatchNorm"
  bottom: "conv_blob119"
  top: "batch_norm_blob119"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale119"
  type: "Scale"
  bottom: "batch_norm_blob119"
  top: "batch_norm_blob119"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu101"
  type: "ReLU"
  bottom: "batch_norm_blob119"
  top: "relu_blob101"
}
layer {
  name: "conv120"
  type: "Convolution"
  bottom: "relu_blob101"
  top: "conv_blob120"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm120"
  type: "BatchNorm"
  bottom: "conv_blob120"
  top: "batch_norm_blob120"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale120"
  type: "Scale"
  bottom: "batch_norm_blob120"
  top: "batch_norm_blob120"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add68"
  type: "Eltwise"
  bottom: "batch_norm_blob120"
  bottom: "relu_blob100"
  top: "add_blob68"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu102"
  type: "ReLU"
  bottom: "add_blob68"
  top: "relu_blob102"
}
layer {
  name: "conv121"
  type: "Convolution"
  bottom: "relu_blob90"
  top: "conv_blob121"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm121"
  type: "BatchNorm"
  bottom: "conv_blob121"
  top: "batch_norm_blob121"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale121"
  type: "Scale"
  bottom: "batch_norm_blob121"
  top: "batch_norm_blob121"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu103"
  type: "ReLU"
  bottom: "batch_norm_blob121"
  top: "relu_blob103"
}
layer {
  name: "conv122"
  type: "Convolution"
  bottom: "relu_blob103"
  top: "conv_blob122"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm122"
  type: "BatchNorm"
  bottom: "conv_blob122"
  top: "batch_norm_blob122"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale122"
  type: "Scale"
  bottom: "batch_norm_blob122"
  top: "batch_norm_blob122"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add69"
  type: "Eltwise"
  bottom: "batch_norm_blob122"
  bottom: "relu_blob90"
  top: "add_blob69"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu104"
  type: "ReLU"
  bottom: "add_blob69"
  top: "relu_blob104"
}
layer {
  name: "conv123"
  type: "Convolution"
  bottom: "relu_blob104"
  top: "conv_blob123"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm123"
  type: "BatchNorm"
  bottom: "conv_blob123"
  top: "batch_norm_blob123"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale123"
  type: "Scale"
  bottom: "batch_norm_blob123"
  top: "batch_norm_blob123"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu105"
  type: "ReLU"
  bottom: "batch_norm_blob123"
  top: "relu_blob105"
}
layer {
  name: "conv124"
  type: "Convolution"
  bottom: "relu_blob105"
  top: "conv_blob124"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm124"
  type: "BatchNorm"
  bottom: "conv_blob124"
  top: "batch_norm_blob124"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale124"
  type: "Scale"
  bottom: "batch_norm_blob124"
  top: "batch_norm_blob124"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add70"
  type: "Eltwise"
  bottom: "batch_norm_blob124"
  bottom: "relu_blob104"
  top: "add_blob70"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu106"
  type: "ReLU"
  bottom: "add_blob70"
  top: "relu_blob106"
}
layer {
  name: "conv125"
  type: "Convolution"
  bottom: "relu_blob94"
  top: "conv_blob125"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm125"
  type: "BatchNorm"
  bottom: "conv_blob125"
  top: "batch_norm_blob125"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale125"
  type: "Scale"
  bottom: "batch_norm_blob125"
  top: "batch_norm_blob125"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu107"
  type: "ReLU"
  bottom: "batch_norm_blob125"
  top: "relu_blob107"
}
layer {
  name: "conv126"
  type: "Convolution"
  bottom: "relu_blob107"
  top: "conv_blob126"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm126"
  type: "BatchNorm"
  bottom: "conv_blob126"
  top: "batch_norm_blob126"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale126"
  type: "Scale"
  bottom: "batch_norm_blob126"
  top: "batch_norm_blob126"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add71"
  type: "Eltwise"
  bottom: "batch_norm_blob126"
  bottom: "relu_blob94"
  top: "add_blob71"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu108"
  type: "ReLU"
  bottom: "add_blob71"
  top: "relu_blob108"
}
layer {
  name: "conv127"
  type: "Convolution"
  bottom: "relu_blob108"
  top: "conv_blob127"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm127"
  type: "BatchNorm"
  bottom: "conv_blob127"
  top: "batch_norm_blob127"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale127"
  type: "Scale"
  bottom: "batch_norm_blob127"
  top: "batch_norm_blob127"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu109"
  type: "ReLU"
  bottom: "batch_norm_blob127"
  top: "relu_blob109"
}
layer {
  name: "conv128"
  type: "Convolution"
  bottom: "relu_blob109"
  top: "conv_blob128"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm128"
  type: "BatchNorm"
  bottom: "conv_blob128"
  top: "batch_norm_blob128"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale128"
  type: "Scale"
  bottom: "batch_norm_blob128"
  top: "batch_norm_blob128"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add72"
  type: "Eltwise"
  bottom: "batch_norm_blob128"
  bottom: "relu_blob108"
  top: "add_blob72"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu110"
  type: "ReLU"
  bottom: "add_blob72"
  top: "relu_blob110"
}
layer {
  name: "conv129"
  type: "Convolution"
  bottom: "relu_blob102"
  top: "conv_blob129"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm129"
  type: "BatchNorm"
  bottom: "conv_blob129"
  top: "batch_norm_blob129"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale129"
  type: "Scale"
  bottom: "batch_norm_blob129"
  top: "batch_norm_blob129"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample17"
  type: "Interp"
  bottom: "batch_norm_blob129"
  top: "upsample_blob17"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add73"
  type: "Eltwise"
  bottom: "relu_blob98"
  bottom: "upsample_blob17"
  top: "add_blob73"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv130"
  type: "Convolution"
  bottom: "relu_blob106"
  top: "conv_blob130"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm130"
  type: "BatchNorm"
  bottom: "conv_blob130"
  top: "batch_norm_blob130"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale130"
  type: "Scale"
  bottom: "batch_norm_blob130"
  top: "batch_norm_blob130"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample18"
  type: "Interp"
  bottom: "batch_norm_blob130"
  top: "upsample_blob18"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add74"
  type: "Eltwise"
  bottom: "add_blob73"
  bottom: "upsample_blob18"
  top: "add_blob74"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv131"
  type: "Convolution"
  bottom: "relu_blob110"
  top: "conv_blob131"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm131"
  type: "BatchNorm"
  bottom: "conv_blob131"
  top: "batch_norm_blob131"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale131"
  type: "Scale"
  bottom: "batch_norm_blob131"
  top: "batch_norm_blob131"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample19"
  type: "Interp"
  bottom: "batch_norm_blob131"
  top: "upsample_blob19"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "add75"
  type: "Eltwise"
  bottom: "add_blob74"
  bottom: "upsample_blob19"
  top: "add_blob75"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu111"
  type: "ReLU"
  bottom: "add_blob75"
  top: "relu_blob111"
}
layer {
  name: "conv132"
  type: "Convolution"
  bottom: "relu_blob98"
  top: "conv_blob132"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm132"
  type: "BatchNorm"
  bottom: "conv_blob132"
  top: "batch_norm_blob132"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale132"
  type: "Scale"
  bottom: "batch_norm_blob132"
  top: "batch_norm_blob132"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add76"
  type: "Eltwise"
  bottom: "batch_norm_blob132"
  bottom: "relu_blob102"
  top: "add_blob76"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv133"
  type: "Convolution"
  bottom: "relu_blob106"
  top: "conv_blob133"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm133"
  type: "BatchNorm"
  bottom: "conv_blob133"
  top: "batch_norm_blob133"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale133"
  type: "Scale"
  bottom: "batch_norm_blob133"
  top: "batch_norm_blob133"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample20"
  type: "Interp"
  bottom: "batch_norm_blob133"
  top: "upsample_blob20"
  interp_param {
    height: 32
    width: 32
  }
}
layer {
  name: "add77"
  type: "Eltwise"
  bottom: "add_blob76"
  bottom: "upsample_blob20"
  top: "add_blob77"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv134"
  type: "Convolution"
  bottom: "relu_blob110"
  top: "conv_blob134"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm134"
  type: "BatchNorm"
  bottom: "conv_blob134"
  top: "batch_norm_blob134"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale134"
  type: "Scale"
  bottom: "batch_norm_blob134"
  top: "batch_norm_blob134"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample21"
  type: "Interp"
  bottom: "batch_norm_blob134"
  top: "upsample_blob21"
  interp_param {
    height: 32
    width: 32
  }
}
layer {
  name: "add78"
  type: "Eltwise"
  bottom: "add_blob77"
  bottom: "upsample_blob21"
  top: "add_blob78"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu112"
  type: "ReLU"
  bottom: "add_blob78"
  top: "relu_blob112"
}
layer {
  name: "conv135"
  type: "Convolution"
  bottom: "relu_blob98"
  top: "conv_blob135"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm135"
  type: "BatchNorm"
  bottom: "conv_blob135"
  top: "batch_norm_blob135"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale135"
  type: "Scale"
  bottom: "batch_norm_blob135"
  top: "batch_norm_blob135"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu113"
  type: "ReLU"
  bottom: "batch_norm_blob135"
  top: "relu_blob113"
}
layer {
  name: "conv136"
  type: "Convolution"
  bottom: "relu_blob113"
  top: "conv_blob136"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm136"
  type: "BatchNorm"
  bottom: "conv_blob136"
  top: "batch_norm_blob136"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale136"
  type: "Scale"
  bottom: "batch_norm_blob136"
  top: "batch_norm_blob136"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv137"
  type: "Convolution"
  bottom: "relu_blob102"
  top: "conv_blob137"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm137"
  type: "BatchNorm"
  bottom: "conv_blob137"
  top: "batch_norm_blob137"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale137"
  type: "Scale"
  bottom: "batch_norm_blob137"
  top: "batch_norm_blob137"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add79"
  type: "Eltwise"
  bottom: "batch_norm_blob136"
  bottom: "batch_norm_blob137"
  top: "add_blob79"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "add80"
  type: "Eltwise"
  bottom: "add_blob79"
  bottom: "relu_blob106"
  top: "add_blob80"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv138"
  type: "Convolution"
  bottom: "relu_blob110"
  top: "conv_blob138"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm138"
  type: "BatchNorm"
  bottom: "conv_blob138"
  top: "batch_norm_blob138"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale138"
  type: "Scale"
  bottom: "batch_norm_blob138"
  top: "batch_norm_blob138"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "upsample22"
  type: "Interp"
  bottom: "batch_norm_blob138"
  top: "upsample_blob22"
  interp_param {
    height: 16
    width: 16
  }
}
layer {
  name: "add81"
  type: "Eltwise"
  bottom: "add_blob80"
  bottom: "upsample_blob22"
  top: "add_blob81"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu114"
  type: "ReLU"
  bottom: "add_blob81"
  top: "relu_blob114"
}
layer {
  name: "conv139"
  type: "Convolution"
  bottom: "relu_blob98"
  top: "conv_blob139"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm139"
  type: "BatchNorm"
  bottom: "conv_blob139"
  top: "batch_norm_blob139"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale139"
  type: "Scale"
  bottom: "batch_norm_blob139"
  top: "batch_norm_blob139"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu115"
  type: "ReLU"
  bottom: "batch_norm_blob139"
  top: "relu_blob115"
}
layer {
  name: "conv140"
  type: "Convolution"
  bottom: "relu_blob115"
  top: "conv_blob140"
  convolution_param {
    num_output: 18
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm140"
  type: "BatchNorm"
  bottom: "conv_blob140"
  top: "batch_norm_blob140"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale140"
  type: "Scale"
  bottom: "batch_norm_blob140"
  top: "batch_norm_blob140"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu116"
  type: "ReLU"
  bottom: "batch_norm_blob140"
  top: "relu_blob116"
}
layer {
  name: "conv141"
  type: "Convolution"
  bottom: "relu_blob116"
  top: "conv_blob141"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm141"
  type: "BatchNorm"
  bottom: "conv_blob141"
  top: "batch_norm_blob141"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale141"
  type: "Scale"
  bottom: "batch_norm_blob141"
  top: "batch_norm_blob141"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv142"
  type: "Convolution"
  bottom: "relu_blob102"
  top: "conv_blob142"
  convolution_param {
    num_output: 36
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm142"
  type: "BatchNorm"
  bottom: "conv_blob142"
  top: "batch_norm_blob142"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale142"
  type: "Scale"
  bottom: "batch_norm_blob142"
  top: "batch_norm_blob142"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu117"
  type: "ReLU"
  bottom: "batch_norm_blob142"
  top: "relu_blob117"
}
layer {
  name: "conv143"
  type: "Convolution"
  bottom: "relu_blob117"
  top: "conv_blob143"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm143"
  type: "BatchNorm"
  bottom: "conv_blob143"
  top: "batch_norm_blob143"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale143"
  type: "Scale"
  bottom: "batch_norm_blob143"
  top: "batch_norm_blob143"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add82"
  type: "Eltwise"
  bottom: "batch_norm_blob141"
  bottom: "batch_norm_blob143"
  top: "add_blob82"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "conv144"
  type: "Convolution"
  bottom: "relu_blob106"
  top: "conv_blob144"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm144"
  type: "BatchNorm"
  bottom: "conv_blob144"
  top: "batch_norm_blob144"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale144"
  type: "Scale"
  bottom: "batch_norm_blob144"
  top: "batch_norm_blob144"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "add83"
  type: "Eltwise"
  bottom: "add_blob82"
  bottom: "batch_norm_blob144"
  top: "add_blob83"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "add84"
  type: "Eltwise"
  bottom: "add_blob83"
  bottom: "relu_blob110"
  top: "add_blob84"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "relu118"
  type: "ReLU"
  bottom: "add_blob84"
  top: "relu_blob118"
}
layer {
  name: "upsample23"
  type: "Interp"
  bottom: "relu_blob112"
  top: "upsample_blob23"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "upsample24"
  type: "Interp"
  bottom: "relu_blob114"
  top: "upsample_blob24"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "upsample25"
  type: "Interp"
  bottom: "relu_blob118"
  top: "upsample_blob25"
  interp_param {
    height: 64
    width: 64
  }
}
layer {
  name: "cat1"
  type: "Concat"
  bottom: "relu_blob111"
  bottom: "upsample_blob23"
  bottom: "upsample_blob24"
  bottom: "upsample_blob25"
  top: "cat_blob1"
  concat_param {
    axis: 1
  }
}
layer {
  name: "conv145"
  type: "Convolution"
  bottom: "cat_blob1"
  top: "conv_blob145"
  convolution_param {
    num_output: 270
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}
layer {
  name: "batch_norm145"
  type: "BatchNorm"
  bottom: "conv_blob145"
  top: "batch_norm_blob145"
  batch_norm_param {
    use_global_stats: true
    eps: 9.9999997e-06
  }
}
layer {
  name: "bn_scale145"
  type: "Scale"
  bottom: "batch_norm_blob145"
  top: "batch_norm_blob145"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "relu119"
  type: "ReLU"
  bottom: "batch_norm_blob145"
  top: "relu_blob119"
}
layer {
  name: "conv146"
  type: "Convolution"
  bottom: "relu_blob119"
  top: "conv_blob146"
  convolution_param {
    num_output: 21
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
    dilation: 1
  }
}