layer {
  name: "0"
  type: "Input"
  top: "0"
  input_param {
    shape {
      dim: 2
      dim: 34
      dim: 9
      dim: 1
    }
  }
}
layer {
  name: "18"
  type: "Convolution"
  bottom: "0"
  top: "18"
  convolution_param {
    num_output: 1024
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    stride_h: 3
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "19_bn"
  type: "BatchNorm"
  bottom: "18"
  top: "19"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "19"
  type: "Scale"
  bottom: "19"
  top: "19"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "20"
  type: "ReLU"
  bottom: "19"
  top: "20"
}
layer {
  name: "21"
  type: "Dropout"
  bottom: "20"
  top: "21"
  dropout_param {
    dropout_ratio: 0.25
  }
}
layer {
  name: "23"
  type: "Convolution"
  bottom: "21"
  top: "23"
  convolution_param {
    num_output: 1024
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 3
    kernel_w: 1
    stride_h: 3
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "24_bn"
  type: "BatchNorm"
  bottom: "23"
  top: "24"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "24"
  type: "Scale"
  bottom: "24"
  top: "24"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "25"
  type: "ReLU"
  bottom: "24"
  top: "25"
}
layer {
  name: "26_27"
  type: "Dropout"
  bottom: "25"
  top: "26"
  dropout_param {
    dropout_ratio: 0.25
  }
}
layer {
  name: "28"
  type: "Convolution"
  bottom: "26"
  top: "28"
  convolution_param {
    num_output: 1024
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "29_bn"
  type: "BatchNorm"
  bottom: "28"
  top: "29"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "29"
  type: "Scale"
  bottom: "29"
  top: "29"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "30"
  type: "ReLU"
  bottom: "29"
  top: "30"
}
layer {
  name: "31_32"
  type: "Dropout"
  bottom: "30"
  top: "31"
  dropout_param {
    dropout_ratio: 0.25
  }
}

layer{
  name: "34"
  type: "Crop"
  bottom: "21"
  bottom: "31"
  top: "34"
  crop_param{
  	axis:2
    offset:1
    offset:0
    
  }
}
layer {
    name: "35"
    type: "Eltwise"
    bottom: "31"
    bottom: "34"
    top: "35"
    eltwise_param {
        operation: SUM
    }
}
layer {
  name: "33"
  type: "Convolution"
  bottom: "35"
  top: "33"
  convolution_param {
    num_output: 51
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}