input: "data"
input_shape {
  dim: 1
  dim: 3
  dim: 224
  dim: 224
}
layer {
  name: "caffe.SpatialConvolution_0"
  type: "Convolution"
  bottom: "data"
  top: "caffe.SpatialConvolution_0"
  convolution_param {
    num_output: 64
    bias_term: false
    pad_h: 3
    pad_w: 3
    kernel_h: 7
    kernel_w: 7
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_1_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_0"
  top: "caffe.BN_1_bn"
}
layer {
  name: "caffe.BN_1_scale"
  type: "Scale"
  bottom: "caffe.BN_1_bn"
  top: "caffe.BN_1"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_2"
  type: "ReLU"
  bottom: "caffe.BN_1"
  top: "caffe.BN_1"
}
layer {
  name: "caffe.Pooling_3"
  type: "Pooling"
  bottom: "caffe.BN_1"
  top: "caffe.Pooling_3"
  pooling_param {
    pool: MAX
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "caffe.SpatialConvolution_4"
  type: "Convolution"
  bottom: "caffe.Pooling_3"
  top: "caffe.SpatialConvolution_4"
  convolution_param {
    num_output: 64
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_5_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_4"
  top: "caffe.BN_5_bn"
}
layer {
  name: "caffe.BN_5_scale"
  type: "Scale"
  bottom: "caffe.BN_5_bn"
  top: "caffe.BN_5"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_6"
  type: "ReLU"
  bottom: "caffe.BN_5"
  top: "caffe.BN_5"
}
layer {
  name: "caffe.SpatialConvolution_7"
  type: "Convolution"
  bottom: "caffe.BN_5"
  top: "caffe.SpatialConvolution_7"
  convolution_param {
    num_output: 64
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_8_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_7"
  top: "caffe.BN_8_bn"
}
layer {
  name: "caffe.BN_8_scale"
  type: "Scale"
  bottom: "caffe.BN_8_bn"
  top: "caffe.BN_8"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_9"
  type: "ReLU"
  bottom: "caffe.BN_8"
  top: "caffe.BN_8"
}
layer {
  name: "caffe.SpatialConvolution_10"
  type: "Convolution"
  bottom: "caffe.BN_8"
  top: "caffe.SpatialConvolution_10"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_11_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_10"
  top: "caffe.BN_11_bn"
}
layer {
  name: "caffe.BN_11_scale"
  type: "Scale"
  bottom: "caffe.BN_11_bn"
  top: "caffe.BN_11"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.SpatialConvolution_12"
  type: "Convolution"
  bottom: "caffe.Pooling_3"
  top: "caffe.SpatialConvolution_12"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_13_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_12"
  top: "caffe.BN_13_bn"
}
layer {
  name: "caffe.BN_13_scale"
  type: "Scale"
  bottom: "caffe.BN_13_bn"
  top: "caffe.BN_13"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_14"
  type: "Eltwise"
  bottom: "caffe.BN_11"
  bottom: "caffe.BN_13"
  top: "caffe.Eltwise_14"
}
layer {
  name: "caffe.ReLU_15"
  type: "ReLU"
  bottom: "caffe.Eltwise_14"
  top: "caffe.Eltwise_14"
}
layer {
  name: "caffe.SpatialConvolution_16"
  type: "Convolution"
  bottom: "caffe.Eltwise_14"
  top: "caffe.SpatialConvolution_16"
  convolution_param {
    num_output: 64
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_17_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_16"
  top: "caffe.BN_17_bn"
}
layer {
  name: "caffe.BN_17_scale"
  type: "Scale"
  bottom: "caffe.BN_17_bn"
  top: "caffe.BN_17"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_18"
  type: "ReLU"
  bottom: "caffe.BN_17"
  top: "caffe.BN_17"
}
layer {
  name: "caffe.SpatialConvolution_19"
  type: "Convolution"
  bottom: "caffe.BN_17"
  top: "caffe.SpatialConvolution_19"
  convolution_param {
    num_output: 64
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_20_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_19"
  top: "caffe.BN_20_bn"
}
layer {
  name: "caffe.BN_20_scale"
  type: "Scale"
  bottom: "caffe.BN_20_bn"
  top: "caffe.BN_20"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_21"
  type: "ReLU"
  bottom: "caffe.BN_20"
  top: "caffe.BN_20"
}
layer {
  name: "caffe.SpatialConvolution_22"
  type: "Convolution"
  bottom: "caffe.BN_20"
  top: "caffe.SpatialConvolution_22"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_23_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_22"
  top: "caffe.BN_23_bn"
}
layer {
  name: "caffe.BN_23_scale"
  type: "Scale"
  bottom: "caffe.BN_23_bn"
  top: "caffe.BN_23"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_24"
  type: "Eltwise"
  bottom: "caffe.BN_23"
  bottom: "caffe.Eltwise_14"
  top: "caffe.Eltwise_24"
}
layer {
  name: "caffe.ReLU_25"
  type: "ReLU"
  bottom: "caffe.Eltwise_24"
  top: "caffe.Eltwise_24"
}
layer {
  name: "caffe.SpatialConvolution_26"
  type: "Convolution"
  bottom: "caffe.Eltwise_24"
  top: "caffe.SpatialConvolution_26"
  convolution_param {
    num_output: 64
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_27_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_26"
  top: "caffe.BN_27_bn"
}
layer {
  name: "caffe.BN_27_scale"
  type: "Scale"
  bottom: "caffe.BN_27_bn"
  top: "caffe.BN_27"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_28"
  type: "ReLU"
  bottom: "caffe.BN_27"
  top: "caffe.BN_27"
}
layer {
  name: "caffe.SpatialConvolution_29"
  type: "Convolution"
  bottom: "caffe.BN_27"
  top: "caffe.SpatialConvolution_29"
  convolution_param {
    num_output: 64
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_30_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_29"
  top: "caffe.BN_30_bn"
}
layer {
  name: "caffe.BN_30_scale"
  type: "Scale"
  bottom: "caffe.BN_30_bn"
  top: "caffe.BN_30"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_31"
  type: "ReLU"
  bottom: "caffe.BN_30"
  top: "caffe.BN_30"
}
layer {
  name: "caffe.SpatialConvolution_32"
  type: "Convolution"
  bottom: "caffe.BN_30"
  top: "caffe.SpatialConvolution_32"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_33_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_32"
  top: "caffe.BN_33_bn"
}
layer {
  name: "caffe.BN_33_scale"
  type: "Scale"
  bottom: "caffe.BN_33_bn"
  top: "caffe.BN_33"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_34"
  type: "Eltwise"
  bottom: "caffe.BN_33"
  bottom: "caffe.Eltwise_24"
  top: "caffe.Eltwise_34"
}
layer {
  name: "caffe.ReLU_35"
  type: "ReLU"
  bottom: "caffe.Eltwise_34"
  top: "caffe.Eltwise_34"
}
layer {
  name: "caffe.SpatialConvolution_36"
  type: "Convolution"
  bottom: "caffe.Eltwise_34"
  top: "caffe.SpatialConvolution_36"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_37_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_36"
  top: "caffe.BN_37_bn"
}
layer {
  name: "caffe.BN_37_scale"
  type: "Scale"
  bottom: "caffe.BN_37_bn"
  top: "caffe.BN_37"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_38"
  type: "ReLU"
  bottom: "caffe.BN_37"
  top: "caffe.BN_37"
}
layer {
  name: "caffe.SpatialConvolution_39"
  type: "Convolution"
  bottom: "caffe.BN_37"
  top: "caffe.SpatialConvolution_39"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_40_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_39"
  top: "caffe.BN_40_bn"
}
layer {
  name: "caffe.BN_40_scale"
  type: "Scale"
  bottom: "caffe.BN_40_bn"
  top: "caffe.BN_40"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_41"
  type: "ReLU"
  bottom: "caffe.BN_40"
  top: "caffe.BN_40"
}
layer {
  name: "caffe.SpatialConvolution_42"
  type: "Convolution"
  bottom: "caffe.BN_40"
  top: "caffe.SpatialConvolution_42"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_43_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_42"
  top: "caffe.BN_43_bn"
}
layer {
  name: "caffe.BN_43_scale"
  type: "Scale"
  bottom: "caffe.BN_43_bn"
  top: "caffe.BN_43"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.SpatialConvolution_44"
  type: "Convolution"
  bottom: "caffe.Eltwise_34"
  top: "caffe.SpatialConvolution_44"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_45_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_44"
  top: "caffe.BN_45_bn"
}
layer {
  name: "caffe.BN_45_scale"
  type: "Scale"
  bottom: "caffe.BN_45_bn"
  top: "caffe.BN_45"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_46"
  type: "Eltwise"
  bottom: "caffe.BN_43"
  bottom: "caffe.BN_45"
  top: "caffe.Eltwise_46"
}
layer {
  name: "caffe.ReLU_47"
  type: "ReLU"
  bottom: "caffe.Eltwise_46"
  top: "caffe.Eltwise_46"
}
layer {
  name: "caffe.SpatialConvolution_48"
  type: "Convolution"
  bottom: "caffe.Eltwise_46"
  top: "caffe.SpatialConvolution_48"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_49_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_48"
  top: "caffe.BN_49_bn"
}
layer {
  name: "caffe.BN_49_scale"
  type: "Scale"
  bottom: "caffe.BN_49_bn"
  top: "caffe.BN_49"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_50"
  type: "ReLU"
  bottom: "caffe.BN_49"
  top: "caffe.BN_49"
}
layer {
  name: "caffe.SpatialConvolution_51"
  type: "Convolution"
  bottom: "caffe.BN_49"
  top: "caffe.SpatialConvolution_51"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_52_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_51"
  top: "caffe.BN_52_bn"
}
layer {
  name: "caffe.BN_52_scale"
  type: "Scale"
  bottom: "caffe.BN_52_bn"
  top: "caffe.BN_52"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_53"
  type: "ReLU"
  bottom: "caffe.BN_52"
  top: "caffe.BN_52"
}
layer {
  name: "caffe.SpatialConvolution_54"
  type: "Convolution"
  bottom: "caffe.BN_52"
  top: "caffe.SpatialConvolution_54"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_55_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_54"
  top: "caffe.BN_55_bn"
}
layer {
  name: "caffe.BN_55_scale"
  type: "Scale"
  bottom: "caffe.BN_55_bn"
  top: "caffe.BN_55"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_56"
  type: "Eltwise"
  bottom: "caffe.BN_55"
  bottom: "caffe.Eltwise_46"
  top: "caffe.Eltwise_56"
}
layer {
  name: "caffe.ReLU_57"
  type: "ReLU"
  bottom: "caffe.Eltwise_56"
  top: "caffe.Eltwise_56"
}
layer {
  name: "caffe.SpatialConvolution_58"
  type: "Convolution"
  bottom: "caffe.Eltwise_56"
  top: "caffe.SpatialConvolution_58"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_59_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_58"
  top: "caffe.BN_59_bn"
}
layer {
  name: "caffe.BN_59_scale"
  type: "Scale"
  bottom: "caffe.BN_59_bn"
  top: "caffe.BN_59"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_60"
  type: "ReLU"
  bottom: "caffe.BN_59"
  top: "caffe.BN_59"
}
layer {
  name: "caffe.SpatialConvolution_61"
  type: "Convolution"
  bottom: "caffe.BN_59"
  top: "caffe.SpatialConvolution_61"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_62_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_61"
  top: "caffe.BN_62_bn"
}
layer {
  name: "caffe.BN_62_scale"
  type: "Scale"
  bottom: "caffe.BN_62_bn"
  top: "caffe.BN_62"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_63"
  type: "ReLU"
  bottom: "caffe.BN_62"
  top: "caffe.BN_62"
}
layer {
  name: "caffe.SpatialConvolution_64"
  type: "Convolution"
  bottom: "caffe.BN_62"
  top: "caffe.SpatialConvolution_64"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_65_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_64"
  top: "caffe.BN_65_bn"
}
layer {
  name: "caffe.BN_65_scale"
  type: "Scale"
  bottom: "caffe.BN_65_bn"
  top: "caffe.BN_65"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_66"
  type: "Eltwise"
  bottom: "caffe.BN_65"
  bottom: "caffe.Eltwise_56"
  top: "caffe.Eltwise_66"
}
layer {
  name: "caffe.ReLU_67"
  type: "ReLU"
  bottom: "caffe.Eltwise_66"
  top: "caffe.Eltwise_66"
}
layer {
  name: "caffe.SpatialConvolution_68"
  type: "Convolution"
  bottom: "caffe.Eltwise_66"
  top: "caffe.SpatialConvolution_68"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_69_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_68"
  top: "caffe.BN_69_bn"
}
layer {
  name: "caffe.BN_69_scale"
  type: "Scale"
  bottom: "caffe.BN_69_bn"
  top: "caffe.BN_69"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_70"
  type: "ReLU"
  bottom: "caffe.BN_69"
  top: "caffe.BN_69"
}
layer {
  name: "caffe.SpatialConvolution_71"
  type: "Convolution"
  bottom: "caffe.BN_69"
  top: "caffe.SpatialConvolution_71"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_72_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_71"
  top: "caffe.BN_72_bn"
}
layer {
  name: "caffe.BN_72_scale"
  type: "Scale"
  bottom: "caffe.BN_72_bn"
  top: "caffe.BN_72"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_73"
  type: "ReLU"
  bottom: "caffe.BN_72"
  top: "caffe.BN_72"
}
layer {
  name: "caffe.SpatialConvolution_74"
  type: "Convolution"
  bottom: "caffe.BN_72"
  top: "caffe.SpatialConvolution_74"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_75_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_74"
  top: "caffe.BN_75_bn"
}
layer {
  name: "caffe.BN_75_scale"
  type: "Scale"
  bottom: "caffe.BN_75_bn"
  top: "caffe.BN_75"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_76"
  type: "Eltwise"
  bottom: "caffe.BN_75"
  bottom: "caffe.Eltwise_66"
  top: "caffe.Eltwise_76"
}
layer {
  name: "caffe.ReLU_77"
  type: "ReLU"
  bottom: "caffe.Eltwise_76"
  top: "caffe.Eltwise_76"
}
layer {
  name: "caffe.SpatialConvolution_78"
  type: "Convolution"
  bottom: "caffe.Eltwise_76"
  top: "caffe.SpatialConvolution_78"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_79_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_78"
  top: "caffe.BN_79_bn"
}
layer {
  name: "caffe.BN_79_scale"
  type: "Scale"
  bottom: "caffe.BN_79_bn"
  top: "caffe.BN_79"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_80"
  type: "ReLU"
  bottom: "caffe.BN_79"
  top: "caffe.BN_79"
}
layer {
  name: "caffe.SpatialConvolution_81"
  type: "Convolution"
  bottom: "caffe.BN_79"
  top: "caffe.SpatialConvolution_81"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_82_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_81"
  top: "caffe.BN_82_bn"
}
layer {
  name: "caffe.BN_82_scale"
  type: "Scale"
  bottom: "caffe.BN_82_bn"
  top: "caffe.BN_82"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_83"
  type: "ReLU"
  bottom: "caffe.BN_82"
  top: "caffe.BN_82"
}
layer {
  name: "caffe.SpatialConvolution_84"
  type: "Convolution"
  bottom: "caffe.BN_82"
  top: "caffe.SpatialConvolution_84"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_85_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_84"
  top: "caffe.BN_85_bn"
}
layer {
  name: "caffe.BN_85_scale"
  type: "Scale"
  bottom: "caffe.BN_85_bn"
  top: "caffe.BN_85"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_86"
  type: "Eltwise"
  bottom: "caffe.BN_85"
  bottom: "caffe.Eltwise_76"
  top: "caffe.Eltwise_86"
}
layer {
  name: "caffe.ReLU_87"
  type: "ReLU"
  bottom: "caffe.Eltwise_86"
  top: "caffe.Eltwise_86"
}
layer {
  name: "caffe.SpatialConvolution_88"
  type: "Convolution"
  bottom: "caffe.Eltwise_86"
  top: "caffe.SpatialConvolution_88"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_89_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_88"
  top: "caffe.BN_89_bn"
}
layer {
  name: "caffe.BN_89_scale"
  type: "Scale"
  bottom: "caffe.BN_89_bn"
  top: "caffe.BN_89"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_90"
  type: "ReLU"
  bottom: "caffe.BN_89"
  top: "caffe.BN_89"
}
layer {
  name: "caffe.SpatialConvolution_91"
  type: "Convolution"
  bottom: "caffe.BN_89"
  top: "caffe.SpatialConvolution_91"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_92_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_91"
  top: "caffe.BN_92_bn"
}
layer {
  name: "caffe.BN_92_scale"
  type: "Scale"
  bottom: "caffe.BN_92_bn"
  top: "caffe.BN_92"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_93"
  type: "ReLU"
  bottom: "caffe.BN_92"
  top: "caffe.BN_92"
}
layer {
  name: "caffe.SpatialConvolution_94"
  type: "Convolution"
  bottom: "caffe.BN_92"
  top: "caffe.SpatialConvolution_94"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_95_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_94"
  top: "caffe.BN_95_bn"
}
layer {
  name: "caffe.BN_95_scale"
  type: "Scale"
  bottom: "caffe.BN_95_bn"
  top: "caffe.BN_95"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_96"
  type: "Eltwise"
  bottom: "caffe.BN_95"
  bottom: "caffe.Eltwise_86"
  top: "caffe.Eltwise_96"
}
layer {
  name: "caffe.ReLU_97"
  type: "ReLU"
  bottom: "caffe.Eltwise_96"
  top: "caffe.Eltwise_96"
}
layer {
  name: "caffe.SpatialConvolution_98"
  type: "Convolution"
  bottom: "caffe.Eltwise_96"
  top: "caffe.SpatialConvolution_98"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_99_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_98"
  top: "caffe.BN_99_bn"
}
layer {
  name: "caffe.BN_99_scale"
  type: "Scale"
  bottom: "caffe.BN_99_bn"
  top: "caffe.BN_99"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_100"
  type: "ReLU"
  bottom: "caffe.BN_99"
  top: "caffe.BN_99"
}
layer {
  name: "caffe.SpatialConvolution_101"
  type: "Convolution"
  bottom: "caffe.BN_99"
  top: "caffe.SpatialConvolution_101"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_102_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_101"
  top: "caffe.BN_102_bn"
}
layer {
  name: "caffe.BN_102_scale"
  type: "Scale"
  bottom: "caffe.BN_102_bn"
  top: "caffe.BN_102"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_103"
  type: "ReLU"
  bottom: "caffe.BN_102"
  top: "caffe.BN_102"
}
layer {
  name: "caffe.SpatialConvolution_104"
  type: "Convolution"
  bottom: "caffe.BN_102"
  top: "caffe.SpatialConvolution_104"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_105_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_104"
  top: "caffe.BN_105_bn"
}
layer {
  name: "caffe.BN_105_scale"
  type: "Scale"
  bottom: "caffe.BN_105_bn"
  top: "caffe.BN_105"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_106"
  type: "Eltwise"
  bottom: "caffe.BN_105"
  bottom: "caffe.Eltwise_96"
  top: "caffe.Eltwise_106"
}
layer {
  name: "caffe.ReLU_107"
  type: "ReLU"
  bottom: "caffe.Eltwise_106"
  top: "caffe.Eltwise_106"
}
layer {
  name: "caffe.SpatialConvolution_108"
  type: "Convolution"
  bottom: "caffe.Eltwise_106"
  top: "caffe.SpatialConvolution_108"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_109_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_108"
  top: "caffe.BN_109_bn"
}
layer {
  name: "caffe.BN_109_scale"
  type: "Scale"
  bottom: "caffe.BN_109_bn"
  top: "caffe.BN_109"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_110"
  type: "ReLU"
  bottom: "caffe.BN_109"
  top: "caffe.BN_109"
}
layer {
  name: "caffe.SpatialConvolution_111"
  type: "Convolution"
  bottom: "caffe.BN_109"
  top: "caffe.SpatialConvolution_111"
  convolution_param {
    num_output: 128
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_112_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_111"
  top: "caffe.BN_112_bn"
}
layer {
  name: "caffe.BN_112_scale"
  type: "Scale"
  bottom: "caffe.BN_112_bn"
  top: "caffe.BN_112"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_113"
  type: "ReLU"
  bottom: "caffe.BN_112"
  top: "caffe.BN_112"
}
layer {
  name: "caffe.SpatialConvolution_114"
  type: "Convolution"
  bottom: "caffe.BN_112"
  top: "caffe.SpatialConvolution_114"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_115_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_114"
  top: "caffe.BN_115_bn"
}
layer {
  name: "caffe.BN_115_scale"
  type: "Scale"
  bottom: "caffe.BN_115_bn"
  top: "caffe.BN_115"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_116"
  type: "Eltwise"
  bottom: "caffe.BN_115"
  bottom: "caffe.Eltwise_106"
  top: "caffe.Eltwise_116"
}
layer {
  name: "caffe.ReLU_117"
  type: "ReLU"
  bottom: "caffe.Eltwise_116"
  top: "caffe.Eltwise_116"
}
layer {
  name: "caffe.SpatialConvolution_118"
  type: "Convolution"
  bottom: "caffe.Eltwise_116"
  top: "caffe.SpatialConvolution_118"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_119_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_118"
  top: "caffe.BN_119_bn"
}
layer {
  name: "caffe.BN_119_scale"
  type: "Scale"
  bottom: "caffe.BN_119_bn"
  top: "caffe.BN_119"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_120"
  type: "ReLU"
  bottom: "caffe.BN_119"
  top: "caffe.BN_119"
}
layer {
  name: "caffe.SpatialConvolution_121"
  type: "Convolution"
  bottom: "caffe.BN_119"
  top: "caffe.SpatialConvolution_121"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_122_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_121"
  top: "caffe.BN_122_bn"
}
layer {
  name: "caffe.BN_122_scale"
  type: "Scale"
  bottom: "caffe.BN_122_bn"
  top: "caffe.BN_122"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_123"
  type: "ReLU"
  bottom: "caffe.BN_122"
  top: "caffe.BN_122"
}
layer {
  name: "caffe.SpatialConvolution_124"
  type: "Convolution"
  bottom: "caffe.BN_122"
  top: "caffe.SpatialConvolution_124"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_125_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_124"
  top: "caffe.BN_125_bn"
}
layer {
  name: "caffe.BN_125_scale"
  type: "Scale"
  bottom: "caffe.BN_125_bn"
  top: "caffe.BN_125"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.SpatialConvolution_126"
  type: "Convolution"
  bottom: "caffe.Eltwise_116"
  top: "caffe.SpatialConvolution_126"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_127_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_126"
  top: "caffe.BN_127_bn"
}
layer {
  name: "caffe.BN_127_scale"
  type: "Scale"
  bottom: "caffe.BN_127_bn"
  top: "caffe.BN_127"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_128"
  type: "Eltwise"
  bottom: "caffe.BN_125"
  bottom: "caffe.BN_127"
  top: "caffe.Eltwise_128"
}
layer {
  name: "caffe.ReLU_129"
  type: "ReLU"
  bottom: "caffe.Eltwise_128"
  top: "caffe.Eltwise_128"
}
layer {
  name: "caffe.SpatialConvolution_130"
  type: "Convolution"
  bottom: "caffe.Eltwise_128"
  top: "caffe.SpatialConvolution_130"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_131_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_130"
  top: "caffe.BN_131_bn"
}
layer {
  name: "caffe.BN_131_scale"
  type: "Scale"
  bottom: "caffe.BN_131_bn"
  top: "caffe.BN_131"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_132"
  type: "ReLU"
  bottom: "caffe.BN_131"
  top: "caffe.BN_131"
}
layer {
  name: "caffe.SpatialConvolution_133"
  type: "Convolution"
  bottom: "caffe.BN_131"
  top: "caffe.SpatialConvolution_133"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_134_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_133"
  top: "caffe.BN_134_bn"
}
layer {
  name: "caffe.BN_134_scale"
  type: "Scale"
  bottom: "caffe.BN_134_bn"
  top: "caffe.BN_134"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_135"
  type: "ReLU"
  bottom: "caffe.BN_134"
  top: "caffe.BN_134"
}
layer {
  name: "caffe.SpatialConvolution_136"
  type: "Convolution"
  bottom: "caffe.BN_134"
  top: "caffe.SpatialConvolution_136"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_137_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_136"
  top: "caffe.BN_137_bn"
}
layer {
  name: "caffe.BN_137_scale"
  type: "Scale"
  bottom: "caffe.BN_137_bn"
  top: "caffe.BN_137"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_138"
  type: "Eltwise"
  bottom: "caffe.BN_137"
  bottom: "caffe.Eltwise_128"
  top: "caffe.Eltwise_138"
}
layer {
  name: "caffe.ReLU_139"
  type: "ReLU"
  bottom: "caffe.Eltwise_138"
  top: "caffe.Eltwise_138"
}
layer {
  name: "caffe.SpatialConvolution_140"
  type: "Convolution"
  bottom: "caffe.Eltwise_138"
  top: "caffe.SpatialConvolution_140"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_141_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_140"
  top: "caffe.BN_141_bn"
}
layer {
  name: "caffe.BN_141_scale"
  type: "Scale"
  bottom: "caffe.BN_141_bn"
  top: "caffe.BN_141"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_142"
  type: "ReLU"
  bottom: "caffe.BN_141"
  top: "caffe.BN_141"
}
layer {
  name: "caffe.SpatialConvolution_143"
  type: "Convolution"
  bottom: "caffe.BN_141"
  top: "caffe.SpatialConvolution_143"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_144_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_143"
  top: "caffe.BN_144_bn"
}
layer {
  name: "caffe.BN_144_scale"
  type: "Scale"
  bottom: "caffe.BN_144_bn"
  top: "caffe.BN_144"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_145"
  type: "ReLU"
  bottom: "caffe.BN_144"
  top: "caffe.BN_144"
}
layer {
  name: "caffe.SpatialConvolution_146"
  type: "Convolution"
  bottom: "caffe.BN_144"
  top: "caffe.SpatialConvolution_146"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_147_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_146"
  top: "caffe.BN_147_bn"
}
layer {
  name: "caffe.BN_147_scale"
  type: "Scale"
  bottom: "caffe.BN_147_bn"
  top: "caffe.BN_147"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_148"
  type: "Eltwise"
  bottom: "caffe.BN_147"
  bottom: "caffe.Eltwise_138"
  top: "caffe.Eltwise_148"
}
layer {
  name: "caffe.ReLU_149"
  type: "ReLU"
  bottom: "caffe.Eltwise_148"
  top: "caffe.Eltwise_148"
}
layer {
  name: "caffe.SpatialConvolution_150"
  type: "Convolution"
  bottom: "caffe.Eltwise_148"
  top: "caffe.SpatialConvolution_150"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_151_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_150"
  top: "caffe.BN_151_bn"
}
layer {
  name: "caffe.BN_151_scale"
  type: "Scale"
  bottom: "caffe.BN_151_bn"
  top: "caffe.BN_151"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_152"
  type: "ReLU"
  bottom: "caffe.BN_151"
  top: "caffe.BN_151"
}
layer {
  name: "caffe.SpatialConvolution_153"
  type: "Convolution"
  bottom: "caffe.BN_151"
  top: "caffe.SpatialConvolution_153"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_154_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_153"
  top: "caffe.BN_154_bn"
}
layer {
  name: "caffe.BN_154_scale"
  type: "Scale"
  bottom: "caffe.BN_154_bn"
  top: "caffe.BN_154"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_155"
  type: "ReLU"
  bottom: "caffe.BN_154"
  top: "caffe.BN_154"
}
layer {
  name: "caffe.SpatialConvolution_156"
  type: "Convolution"
  bottom: "caffe.BN_154"
  top: "caffe.SpatialConvolution_156"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_157_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_156"
  top: "caffe.BN_157_bn"
}
layer {
  name: "caffe.BN_157_scale"
  type: "Scale"
  bottom: "caffe.BN_157_bn"
  top: "caffe.BN_157"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_158"
  type: "Eltwise"
  bottom: "caffe.BN_157"
  bottom: "caffe.Eltwise_148"
  top: "caffe.Eltwise_158"
}
layer {
  name: "caffe.ReLU_159"
  type: "ReLU"
  bottom: "caffe.Eltwise_158"
  top: "caffe.Eltwise_158"
}
layer {
  name: "caffe.SpatialConvolution_160"
  type: "Convolution"
  bottom: "caffe.Eltwise_158"
  top: "caffe.SpatialConvolution_160"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_161_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_160"
  top: "caffe.BN_161_bn"
}
layer {
  name: "caffe.BN_161_scale"
  type: "Scale"
  bottom: "caffe.BN_161_bn"
  top: "caffe.BN_161"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_162"
  type: "ReLU"
  bottom: "caffe.BN_161"
  top: "caffe.BN_161"
}
layer {
  name: "caffe.SpatialConvolution_163"
  type: "Convolution"
  bottom: "caffe.BN_161"
  top: "caffe.SpatialConvolution_163"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_164_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_163"
  top: "caffe.BN_164_bn"
}
layer {
  name: "caffe.BN_164_scale"
  type: "Scale"
  bottom: "caffe.BN_164_bn"
  top: "caffe.BN_164"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_165"
  type: "ReLU"
  bottom: "caffe.BN_164"
  top: "caffe.BN_164"
}
layer {
  name: "caffe.SpatialConvolution_166"
  type: "Convolution"
  bottom: "caffe.BN_164"
  top: "caffe.SpatialConvolution_166"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_167_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_166"
  top: "caffe.BN_167_bn"
}
layer {
  name: "caffe.BN_167_scale"
  type: "Scale"
  bottom: "caffe.BN_167_bn"
  top: "caffe.BN_167"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_168"
  type: "Eltwise"
  bottom: "caffe.BN_167"
  bottom: "caffe.Eltwise_158"
  top: "caffe.Eltwise_168"
}
layer {
  name: "caffe.ReLU_169"
  type: "ReLU"
  bottom: "caffe.Eltwise_168"
  top: "caffe.Eltwise_168"
}
layer {
  name: "caffe.SpatialConvolution_170"
  type: "Convolution"
  bottom: "caffe.Eltwise_168"
  top: "caffe.SpatialConvolution_170"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_171_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_170"
  top: "caffe.BN_171_bn"
}
layer {
  name: "caffe.BN_171_scale"
  type: "Scale"
  bottom: "caffe.BN_171_bn"
  top: "caffe.BN_171"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_172"
  type: "ReLU"
  bottom: "caffe.BN_171"
  top: "caffe.BN_171"
}
layer {
  name: "caffe.SpatialConvolution_173"
  type: "Convolution"
  bottom: "caffe.BN_171"
  top: "caffe.SpatialConvolution_173"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_174_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_173"
  top: "caffe.BN_174_bn"
}
layer {
  name: "caffe.BN_174_scale"
  type: "Scale"
  bottom: "caffe.BN_174_bn"
  top: "caffe.BN_174"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_175"
  type: "ReLU"
  bottom: "caffe.BN_174"
  top: "caffe.BN_174"
}
layer {
  name: "caffe.SpatialConvolution_176"
  type: "Convolution"
  bottom: "caffe.BN_174"
  top: "caffe.SpatialConvolution_176"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_177_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_176"
  top: "caffe.BN_177_bn"
}
layer {
  name: "caffe.BN_177_scale"
  type: "Scale"
  bottom: "caffe.BN_177_bn"
  top: "caffe.BN_177"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_178"
  type: "Eltwise"
  bottom: "caffe.BN_177"
  bottom: "caffe.Eltwise_168"
  top: "caffe.Eltwise_178"
}
layer {
  name: "caffe.ReLU_179"
  type: "ReLU"
  bottom: "caffe.Eltwise_178"
  top: "caffe.Eltwise_178"
}
layer {
  name: "caffe.SpatialConvolution_180"
  type: "Convolution"
  bottom: "caffe.Eltwise_178"
  top: "caffe.SpatialConvolution_180"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_181_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_180"
  top: "caffe.BN_181_bn"
}
layer {
  name: "caffe.BN_181_scale"
  type: "Scale"
  bottom: "caffe.BN_181_bn"
  top: "caffe.BN_181"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_182"
  type: "ReLU"
  bottom: "caffe.BN_181"
  top: "caffe.BN_181"
}
layer {
  name: "caffe.SpatialConvolution_183"
  type: "Convolution"
  bottom: "caffe.BN_181"
  top: "caffe.SpatialConvolution_183"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_184_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_183"
  top: "caffe.BN_184_bn"
}
layer {
  name: "caffe.BN_184_scale"
  type: "Scale"
  bottom: "caffe.BN_184_bn"
  top: "caffe.BN_184"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_185"
  type: "ReLU"
  bottom: "caffe.BN_184"
  top: "caffe.BN_184"
}
layer {
  name: "caffe.SpatialConvolution_186"
  type: "Convolution"
  bottom: "caffe.BN_184"
  top: "caffe.SpatialConvolution_186"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_187_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_186"
  top: "caffe.BN_187_bn"
}
layer {
  name: "caffe.BN_187_scale"
  type: "Scale"
  bottom: "caffe.BN_187_bn"
  top: "caffe.BN_187"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_188"
  type: "Eltwise"
  bottom: "caffe.BN_187"
  bottom: "caffe.Eltwise_178"
  top: "caffe.Eltwise_188"
}
layer {
  name: "caffe.ReLU_189"
  type: "ReLU"
  bottom: "caffe.Eltwise_188"
  top: "caffe.Eltwise_188"
}
layer {
  name: "caffe.SpatialConvolution_190"
  type: "Convolution"
  bottom: "caffe.Eltwise_188"
  top: "caffe.SpatialConvolution_190"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_191_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_190"
  top: "caffe.BN_191_bn"
}
layer {
  name: "caffe.BN_191_scale"
  type: "Scale"
  bottom: "caffe.BN_191_bn"
  top: "caffe.BN_191"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_192"
  type: "ReLU"
  bottom: "caffe.BN_191"
  top: "caffe.BN_191"
}
layer {
  name: "caffe.SpatialConvolution_193"
  type: "Convolution"
  bottom: "caffe.BN_191"
  top: "caffe.SpatialConvolution_193"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_194_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_193"
  top: "caffe.BN_194_bn"
}
layer {
  name: "caffe.BN_194_scale"
  type: "Scale"
  bottom: "caffe.BN_194_bn"
  top: "caffe.BN_194"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_195"
  type: "ReLU"
  bottom: "caffe.BN_194"
  top: "caffe.BN_194"
}
layer {
  name: "caffe.SpatialConvolution_196"
  type: "Convolution"
  bottom: "caffe.BN_194"
  top: "caffe.SpatialConvolution_196"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_197_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_196"
  top: "caffe.BN_197_bn"
}
layer {
  name: "caffe.BN_197_scale"
  type: "Scale"
  bottom: "caffe.BN_197_bn"
  top: "caffe.BN_197"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_198"
  type: "Eltwise"
  bottom: "caffe.BN_197"
  bottom: "caffe.Eltwise_188"
  top: "caffe.Eltwise_198"
}
layer {
  name: "caffe.ReLU_199"
  type: "ReLU"
  bottom: "caffe.Eltwise_198"
  top: "caffe.Eltwise_198"
}
layer {
  name: "caffe.SpatialConvolution_200"
  type: "Convolution"
  bottom: "caffe.Eltwise_198"
  top: "caffe.SpatialConvolution_200"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_201_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_200"
  top: "caffe.BN_201_bn"
}
layer {
  name: "caffe.BN_201_scale"
  type: "Scale"
  bottom: "caffe.BN_201_bn"
  top: "caffe.BN_201"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_202"
  type: "ReLU"
  bottom: "caffe.BN_201"
  top: "caffe.BN_201"
}
layer {
  name: "caffe.SpatialConvolution_203"
  type: "Convolution"
  bottom: "caffe.BN_201"
  top: "caffe.SpatialConvolution_203"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_204_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_203"
  top: "caffe.BN_204_bn"
}
layer {
  name: "caffe.BN_204_scale"
  type: "Scale"
  bottom: "caffe.BN_204_bn"
  top: "caffe.BN_204"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_205"
  type: "ReLU"
  bottom: "caffe.BN_204"
  top: "caffe.BN_204"
}
layer {
  name: "caffe.SpatialConvolution_206"
  type: "Convolution"
  bottom: "caffe.BN_204"
  top: "caffe.SpatialConvolution_206"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_207_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_206"
  top: "caffe.BN_207_bn"
}
layer {
  name: "caffe.BN_207_scale"
  type: "Scale"
  bottom: "caffe.BN_207_bn"
  top: "caffe.BN_207"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_208"
  type: "Eltwise"
  bottom: "caffe.BN_207"
  bottom: "caffe.Eltwise_198"
  top: "caffe.Eltwise_208"
}
layer {
  name: "caffe.ReLU_209"
  type: "ReLU"
  bottom: "caffe.Eltwise_208"
  top: "caffe.Eltwise_208"
}
layer {
  name: "caffe.SpatialConvolution_210"
  type: "Convolution"
  bottom: "caffe.Eltwise_208"
  top: "caffe.SpatialConvolution_210"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_211_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_210"
  top: "caffe.BN_211_bn"
}
layer {
  name: "caffe.BN_211_scale"
  type: "Scale"
  bottom: "caffe.BN_211_bn"
  top: "caffe.BN_211"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_212"
  type: "ReLU"
  bottom: "caffe.BN_211"
  top: "caffe.BN_211"
}
layer {
  name: "caffe.SpatialConvolution_213"
  type: "Convolution"
  bottom: "caffe.BN_211"
  top: "caffe.SpatialConvolution_213"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_214_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_213"
  top: "caffe.BN_214_bn"
}
layer {
  name: "caffe.BN_214_scale"
  type: "Scale"
  bottom: "caffe.BN_214_bn"
  top: "caffe.BN_214"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_215"
  type: "ReLU"
  bottom: "caffe.BN_214"
  top: "caffe.BN_214"
}
layer {
  name: "caffe.SpatialConvolution_216"
  type: "Convolution"
  bottom: "caffe.BN_214"
  top: "caffe.SpatialConvolution_216"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_217_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_216"
  top: "caffe.BN_217_bn"
}
layer {
  name: "caffe.BN_217_scale"
  type: "Scale"
  bottom: "caffe.BN_217_bn"
  top: "caffe.BN_217"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_218"
  type: "Eltwise"
  bottom: "caffe.BN_217"
  bottom: "caffe.Eltwise_208"
  top: "caffe.Eltwise_218"
}
layer {
  name: "caffe.ReLU_219"
  type: "ReLU"
  bottom: "caffe.Eltwise_218"
  top: "caffe.Eltwise_218"
}
layer {
  name: "caffe.SpatialConvolution_220"
  type: "Convolution"
  bottom: "caffe.Eltwise_218"
  top: "caffe.SpatialConvolution_220"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_221_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_220"
  top: "caffe.BN_221_bn"
}
layer {
  name: "caffe.BN_221_scale"
  type: "Scale"
  bottom: "caffe.BN_221_bn"
  top: "caffe.BN_221"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_222"
  type: "ReLU"
  bottom: "caffe.BN_221"
  top: "caffe.BN_221"
}
layer {
  name: "caffe.SpatialConvolution_223"
  type: "Convolution"
  bottom: "caffe.BN_221"
  top: "caffe.SpatialConvolution_223"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_224_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_223"
  top: "caffe.BN_224_bn"
}
layer {
  name: "caffe.BN_224_scale"
  type: "Scale"
  bottom: "caffe.BN_224_bn"
  top: "caffe.BN_224"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_225"
  type: "ReLU"
  bottom: "caffe.BN_224"
  top: "caffe.BN_224"
}
layer {
  name: "caffe.SpatialConvolution_226"
  type: "Convolution"
  bottom: "caffe.BN_224"
  top: "caffe.SpatialConvolution_226"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_227_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_226"
  top: "caffe.BN_227_bn"
}
layer {
  name: "caffe.BN_227_scale"
  type: "Scale"
  bottom: "caffe.BN_227_bn"
  top: "caffe.BN_227"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_228"
  type: "Eltwise"
  bottom: "caffe.BN_227"
  bottom: "caffe.Eltwise_218"
  top: "caffe.Eltwise_228"
}
layer {
  name: "caffe.ReLU_229"
  type: "ReLU"
  bottom: "caffe.Eltwise_228"
  top: "caffe.Eltwise_228"
}
layer {
  name: "caffe.SpatialConvolution_230"
  type: "Convolution"
  bottom: "caffe.Eltwise_228"
  top: "caffe.SpatialConvolution_230"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_231_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_230"
  top: "caffe.BN_231_bn"
}
layer {
  name: "caffe.BN_231_scale"
  type: "Scale"
  bottom: "caffe.BN_231_bn"
  top: "caffe.BN_231"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_232"
  type: "ReLU"
  bottom: "caffe.BN_231"
  top: "caffe.BN_231"
}
layer {
  name: "caffe.SpatialConvolution_233"
  type: "Convolution"
  bottom: "caffe.BN_231"
  top: "caffe.SpatialConvolution_233"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_234_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_233"
  top: "caffe.BN_234_bn"
}
layer {
  name: "caffe.BN_234_scale"
  type: "Scale"
  bottom: "caffe.BN_234_bn"
  top: "caffe.BN_234"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_235"
  type: "ReLU"
  bottom: "caffe.BN_234"
  top: "caffe.BN_234"
}
layer {
  name: "caffe.SpatialConvolution_236"
  type: "Convolution"
  bottom: "caffe.BN_234"
  top: "caffe.SpatialConvolution_236"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_237_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_236"
  top: "caffe.BN_237_bn"
}
layer {
  name: "caffe.BN_237_scale"
  type: "Scale"
  bottom: "caffe.BN_237_bn"
  top: "caffe.BN_237"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_238"
  type: "Eltwise"
  bottom: "caffe.BN_237"
  bottom: "caffe.Eltwise_228"
  top: "caffe.Eltwise_238"
}
layer {
  name: "caffe.ReLU_239"
  type: "ReLU"
  bottom: "caffe.Eltwise_238"
  top: "caffe.Eltwise_238"
}
layer {
  name: "caffe.SpatialConvolution_240"
  type: "Convolution"
  bottom: "caffe.Eltwise_238"
  top: "caffe.SpatialConvolution_240"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_241_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_240"
  top: "caffe.BN_241_bn"
}
layer {
  name: "caffe.BN_241_scale"
  type: "Scale"
  bottom: "caffe.BN_241_bn"
  top: "caffe.BN_241"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_242"
  type: "ReLU"
  bottom: "caffe.BN_241"
  top: "caffe.BN_241"
}
layer {
  name: "caffe.SpatialConvolution_243"
  type: "Convolution"
  bottom: "caffe.BN_241"
  top: "caffe.SpatialConvolution_243"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_244_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_243"
  top: "caffe.BN_244_bn"
}
layer {
  name: "caffe.BN_244_scale"
  type: "Scale"
  bottom: "caffe.BN_244_bn"
  top: "caffe.BN_244"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_245"
  type: "ReLU"
  bottom: "caffe.BN_244"
  top: "caffe.BN_244"
}
layer {
  name: "caffe.SpatialConvolution_246"
  type: "Convolution"
  bottom: "caffe.BN_244"
  top: "caffe.SpatialConvolution_246"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_247_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_246"
  top: "caffe.BN_247_bn"
}
layer {
  name: "caffe.BN_247_scale"
  type: "Scale"
  bottom: "caffe.BN_247_bn"
  top: "caffe.BN_247"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_248"
  type: "Eltwise"
  bottom: "caffe.BN_247"
  bottom: "caffe.Eltwise_238"
  top: "caffe.Eltwise_248"
}
layer {
  name: "caffe.ReLU_249"
  type: "ReLU"
  bottom: "caffe.Eltwise_248"
  top: "caffe.Eltwise_248"
}
layer {
  name: "caffe.SpatialConvolution_250"
  type: "Convolution"
  bottom: "caffe.Eltwise_248"
  top: "caffe.SpatialConvolution_250"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_251_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_250"
  top: "caffe.BN_251_bn"
}
layer {
  name: "caffe.BN_251_scale"
  type: "Scale"
  bottom: "caffe.BN_251_bn"
  top: "caffe.BN_251"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_252"
  type: "ReLU"
  bottom: "caffe.BN_251"
  top: "caffe.BN_251"
}
layer {
  name: "caffe.SpatialConvolution_253"
  type: "Convolution"
  bottom: "caffe.BN_251"
  top: "caffe.SpatialConvolution_253"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_254_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_253"
  top: "caffe.BN_254_bn"
}
layer {
  name: "caffe.BN_254_scale"
  type: "Scale"
  bottom: "caffe.BN_254_bn"
  top: "caffe.BN_254"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_255"
  type: "ReLU"
  bottom: "caffe.BN_254"
  top: "caffe.BN_254"
}
layer {
  name: "caffe.SpatialConvolution_256"
  type: "Convolution"
  bottom: "caffe.BN_254"
  top: "caffe.SpatialConvolution_256"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_257_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_256"
  top: "caffe.BN_257_bn"
}
layer {
  name: "caffe.BN_257_scale"
  type: "Scale"
  bottom: "caffe.BN_257_bn"
  top: "caffe.BN_257"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_258"
  type: "Eltwise"
  bottom: "caffe.BN_257"
  bottom: "caffe.Eltwise_248"
  top: "caffe.Eltwise_258"
}
layer {
  name: "caffe.ReLU_259"
  type: "ReLU"
  bottom: "caffe.Eltwise_258"
  top: "caffe.Eltwise_258"
}
layer {
  name: "caffe.SpatialConvolution_260"
  type: "Convolution"
  bottom: "caffe.Eltwise_258"
  top: "caffe.SpatialConvolution_260"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_261_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_260"
  top: "caffe.BN_261_bn"
}
layer {
  name: "caffe.BN_261_scale"
  type: "Scale"
  bottom: "caffe.BN_261_bn"
  top: "caffe.BN_261"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_262"
  type: "ReLU"
  bottom: "caffe.BN_261"
  top: "caffe.BN_261"
}
layer {
  name: "caffe.SpatialConvolution_263"
  type: "Convolution"
  bottom: "caffe.BN_261"
  top: "caffe.SpatialConvolution_263"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_264_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_263"
  top: "caffe.BN_264_bn"
}
layer {
  name: "caffe.BN_264_scale"
  type: "Scale"
  bottom: "caffe.BN_264_bn"
  top: "caffe.BN_264"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_265"
  type: "ReLU"
  bottom: "caffe.BN_264"
  top: "caffe.BN_264"
}
layer {
  name: "caffe.SpatialConvolution_266"
  type: "Convolution"
  bottom: "caffe.BN_264"
  top: "caffe.SpatialConvolution_266"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_267_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_266"
  top: "caffe.BN_267_bn"
}
layer {
  name: "caffe.BN_267_scale"
  type: "Scale"
  bottom: "caffe.BN_267_bn"
  top: "caffe.BN_267"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_268"
  type: "Eltwise"
  bottom: "caffe.BN_267"
  bottom: "caffe.Eltwise_258"
  top: "caffe.Eltwise_268"
}
layer {
  name: "caffe.ReLU_269"
  type: "ReLU"
  bottom: "caffe.Eltwise_268"
  top: "caffe.Eltwise_268"
}
layer {
  name: "caffe.SpatialConvolution_270"
  type: "Convolution"
  bottom: "caffe.Eltwise_268"
  top: "caffe.SpatialConvolution_270"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_271_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_270"
  top: "caffe.BN_271_bn"
}
layer {
  name: "caffe.BN_271_scale"
  type: "Scale"
  bottom: "caffe.BN_271_bn"
  top: "caffe.BN_271"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_272"
  type: "ReLU"
  bottom: "caffe.BN_271"
  top: "caffe.BN_271"
}
layer {
  name: "caffe.SpatialConvolution_273"
  type: "Convolution"
  bottom: "caffe.BN_271"
  top: "caffe.SpatialConvolution_273"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_274_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_273"
  top: "caffe.BN_274_bn"
}
layer {
  name: "caffe.BN_274_scale"
  type: "Scale"
  bottom: "caffe.BN_274_bn"
  top: "caffe.BN_274"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_275"
  type: "ReLU"
  bottom: "caffe.BN_274"
  top: "caffe.BN_274"
}
layer {
  name: "caffe.SpatialConvolution_276"
  type: "Convolution"
  bottom: "caffe.BN_274"
  top: "caffe.SpatialConvolution_276"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_277_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_276"
  top: "caffe.BN_277_bn"
}
layer {
  name: "caffe.BN_277_scale"
  type: "Scale"
  bottom: "caffe.BN_277_bn"
  top: "caffe.BN_277"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_278"
  type: "Eltwise"
  bottom: "caffe.BN_277"
  bottom: "caffe.Eltwise_268"
  top: "caffe.Eltwise_278"
}
layer {
  name: "caffe.ReLU_279"
  type: "ReLU"
  bottom: "caffe.Eltwise_278"
  top: "caffe.Eltwise_278"
}
layer {
  name: "caffe.SpatialConvolution_280"
  type: "Convolution"
  bottom: "caffe.Eltwise_278"
  top: "caffe.SpatialConvolution_280"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_281_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_280"
  top: "caffe.BN_281_bn"
}
layer {
  name: "caffe.BN_281_scale"
  type: "Scale"
  bottom: "caffe.BN_281_bn"
  top: "caffe.BN_281"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_282"
  type: "ReLU"
  bottom: "caffe.BN_281"
  top: "caffe.BN_281"
}
layer {
  name: "caffe.SpatialConvolution_283"
  type: "Convolution"
  bottom: "caffe.BN_281"
  top: "caffe.SpatialConvolution_283"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_284_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_283"
  top: "caffe.BN_284_bn"
}
layer {
  name: "caffe.BN_284_scale"
  type: "Scale"
  bottom: "caffe.BN_284_bn"
  top: "caffe.BN_284"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_285"
  type: "ReLU"
  bottom: "caffe.BN_284"
  top: "caffe.BN_284"
}
layer {
  name: "caffe.SpatialConvolution_286"
  type: "Convolution"
  bottom: "caffe.BN_284"
  top: "caffe.SpatialConvolution_286"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_287_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_286"
  top: "caffe.BN_287_bn"
}
layer {
  name: "caffe.BN_287_scale"
  type: "Scale"
  bottom: "caffe.BN_287_bn"
  top: "caffe.BN_287"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_288"
  type: "Eltwise"
  bottom: "caffe.BN_287"
  bottom: "caffe.Eltwise_278"
  top: "caffe.Eltwise_288"
}
layer {
  name: "caffe.ReLU_289"
  type: "ReLU"
  bottom: "caffe.Eltwise_288"
  top: "caffe.Eltwise_288"
}
layer {
  name: "caffe.SpatialConvolution_290"
  type: "Convolution"
  bottom: "caffe.Eltwise_288"
  top: "caffe.SpatialConvolution_290"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_291_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_290"
  top: "caffe.BN_291_bn"
}
layer {
  name: "caffe.BN_291_scale"
  type: "Scale"
  bottom: "caffe.BN_291_bn"
  top: "caffe.BN_291"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_292"
  type: "ReLU"
  bottom: "caffe.BN_291"
  top: "caffe.BN_291"
}
layer {
  name: "caffe.SpatialConvolution_293"
  type: "Convolution"
  bottom: "caffe.BN_291"
  top: "caffe.SpatialConvolution_293"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_294_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_293"
  top: "caffe.BN_294_bn"
}
layer {
  name: "caffe.BN_294_scale"
  type: "Scale"
  bottom: "caffe.BN_294_bn"
  top: "caffe.BN_294"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_295"
  type: "ReLU"
  bottom: "caffe.BN_294"
  top: "caffe.BN_294"
}
layer {
  name: "caffe.SpatialConvolution_296"
  type: "Convolution"
  bottom: "caffe.BN_294"
  top: "caffe.SpatialConvolution_296"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_297_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_296"
  top: "caffe.BN_297_bn"
}
layer {
  name: "caffe.BN_297_scale"
  type: "Scale"
  bottom: "caffe.BN_297_bn"
  top: "caffe.BN_297"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_298"
  type: "Eltwise"
  bottom: "caffe.BN_297"
  bottom: "caffe.Eltwise_288"
  top: "caffe.Eltwise_298"
}
layer {
  name: "caffe.ReLU_299"
  type: "ReLU"
  bottom: "caffe.Eltwise_298"
  top: "caffe.Eltwise_298"
}
layer {
  name: "caffe.SpatialConvolution_300"
  type: "Convolution"
  bottom: "caffe.Eltwise_298"
  top: "caffe.SpatialConvolution_300"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_301_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_300"
  top: "caffe.BN_301_bn"
}
layer {
  name: "caffe.BN_301_scale"
  type: "Scale"
  bottom: "caffe.BN_301_bn"
  top: "caffe.BN_301"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_302"
  type: "ReLU"
  bottom: "caffe.BN_301"
  top: "caffe.BN_301"
}
layer {
  name: "caffe.SpatialConvolution_303"
  type: "Convolution"
  bottom: "caffe.BN_301"
  top: "caffe.SpatialConvolution_303"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_304_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_303"
  top: "caffe.BN_304_bn"
}
layer {
  name: "caffe.BN_304_scale"
  type: "Scale"
  bottom: "caffe.BN_304_bn"
  top: "caffe.BN_304"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_305"
  type: "ReLU"
  bottom: "caffe.BN_304"
  top: "caffe.BN_304"
}
layer {
  name: "caffe.SpatialConvolution_306"
  type: "Convolution"
  bottom: "caffe.BN_304"
  top: "caffe.SpatialConvolution_306"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_307_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_306"
  top: "caffe.BN_307_bn"
}
layer {
  name: "caffe.BN_307_scale"
  type: "Scale"
  bottom: "caffe.BN_307_bn"
  top: "caffe.BN_307"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_308"
  type: "Eltwise"
  bottom: "caffe.BN_307"
  bottom: "caffe.Eltwise_298"
  top: "caffe.Eltwise_308"
}
layer {
  name: "caffe.ReLU_309"
  type: "ReLU"
  bottom: "caffe.Eltwise_308"
  top: "caffe.Eltwise_308"
}
layer {
  name: "caffe.SpatialConvolution_310"
  type: "Convolution"
  bottom: "caffe.Eltwise_308"
  top: "caffe.SpatialConvolution_310"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_311_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_310"
  top: "caffe.BN_311_bn"
}
layer {
  name: "caffe.BN_311_scale"
  type: "Scale"
  bottom: "caffe.BN_311_bn"
  top: "caffe.BN_311"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_312"
  type: "ReLU"
  bottom: "caffe.BN_311"
  top: "caffe.BN_311"
}
layer {
  name: "caffe.SpatialConvolution_313"
  type: "Convolution"
  bottom: "caffe.BN_311"
  top: "caffe.SpatialConvolution_313"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_314_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_313"
  top: "caffe.BN_314_bn"
}
layer {
  name: "caffe.BN_314_scale"
  type: "Scale"
  bottom: "caffe.BN_314_bn"
  top: "caffe.BN_314"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_315"
  type: "ReLU"
  bottom: "caffe.BN_314"
  top: "caffe.BN_314"
}
layer {
  name: "caffe.SpatialConvolution_316"
  type: "Convolution"
  bottom: "caffe.BN_314"
  top: "caffe.SpatialConvolution_316"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_317_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_316"
  top: "caffe.BN_317_bn"
}
layer {
  name: "caffe.BN_317_scale"
  type: "Scale"
  bottom: "caffe.BN_317_bn"
  top: "caffe.BN_317"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_318"
  type: "Eltwise"
  bottom: "caffe.BN_317"
  bottom: "caffe.Eltwise_308"
  top: "caffe.Eltwise_318"
}
layer {
  name: "caffe.ReLU_319"
  type: "ReLU"
  bottom: "caffe.Eltwise_318"
  top: "caffe.Eltwise_318"
}
layer {
  name: "caffe.SpatialConvolution_320"
  type: "Convolution"
  bottom: "caffe.Eltwise_318"
  top: "caffe.SpatialConvolution_320"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_321_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_320"
  top: "caffe.BN_321_bn"
}
layer {
  name: "caffe.BN_321_scale"
  type: "Scale"
  bottom: "caffe.BN_321_bn"
  top: "caffe.BN_321"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_322"
  type: "ReLU"
  bottom: "caffe.BN_321"
  top: "caffe.BN_321"
}
layer {
  name: "caffe.SpatialConvolution_323"
  type: "Convolution"
  bottom: "caffe.BN_321"
  top: "caffe.SpatialConvolution_323"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_324_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_323"
  top: "caffe.BN_324_bn"
}
layer {
  name: "caffe.BN_324_scale"
  type: "Scale"
  bottom: "caffe.BN_324_bn"
  top: "caffe.BN_324"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_325"
  type: "ReLU"
  bottom: "caffe.BN_324"
  top: "caffe.BN_324"
}
layer {
  name: "caffe.SpatialConvolution_326"
  type: "Convolution"
  bottom: "caffe.BN_324"
  top: "caffe.SpatialConvolution_326"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_327_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_326"
  top: "caffe.BN_327_bn"
}
layer {
  name: "caffe.BN_327_scale"
  type: "Scale"
  bottom: "caffe.BN_327_bn"
  top: "caffe.BN_327"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_328"
  type: "Eltwise"
  bottom: "caffe.BN_327"
  bottom: "caffe.Eltwise_318"
  top: "caffe.Eltwise_328"
}
layer {
  name: "caffe.ReLU_329"
  type: "ReLU"
  bottom: "caffe.Eltwise_328"
  top: "caffe.Eltwise_328"
}
layer {
  name: "caffe.SpatialConvolution_330"
  type: "Convolution"
  bottom: "caffe.Eltwise_328"
  top: "caffe.SpatialConvolution_330"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_331_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_330"
  top: "caffe.BN_331_bn"
}
layer {
  name: "caffe.BN_331_scale"
  type: "Scale"
  bottom: "caffe.BN_331_bn"
  top: "caffe.BN_331"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_332"
  type: "ReLU"
  bottom: "caffe.BN_331"
  top: "caffe.BN_331"
}
layer {
  name: "caffe.SpatialConvolution_333"
  type: "Convolution"
  bottom: "caffe.BN_331"
  top: "caffe.SpatialConvolution_333"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_334_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_333"
  top: "caffe.BN_334_bn"
}
layer {
  name: "caffe.BN_334_scale"
  type: "Scale"
  bottom: "caffe.BN_334_bn"
  top: "caffe.BN_334"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_335"
  type: "ReLU"
  bottom: "caffe.BN_334"
  top: "caffe.BN_334"
}
layer {
  name: "caffe.SpatialConvolution_336"
  type: "Convolution"
  bottom: "caffe.BN_334"
  top: "caffe.SpatialConvolution_336"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_337_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_336"
  top: "caffe.BN_337_bn"
}
layer {
  name: "caffe.BN_337_scale"
  type: "Scale"
  bottom: "caffe.BN_337_bn"
  top: "caffe.BN_337"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_338"
  type: "Eltwise"
  bottom: "caffe.BN_337"
  bottom: "caffe.Eltwise_328"
  top: "caffe.Eltwise_338"
}
layer {
  name: "caffe.ReLU_339"
  type: "ReLU"
  bottom: "caffe.Eltwise_338"
  top: "caffe.Eltwise_338"
}
layer {
  name: "caffe.SpatialConvolution_340"
  type: "Convolution"
  bottom: "caffe.Eltwise_338"
  top: "caffe.SpatialConvolution_340"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_341_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_340"
  top: "caffe.BN_341_bn"
}
layer {
  name: "caffe.BN_341_scale"
  type: "Scale"
  bottom: "caffe.BN_341_bn"
  top: "caffe.BN_341"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_342"
  type: "ReLU"
  bottom: "caffe.BN_341"
  top: "caffe.BN_341"
}
layer {
  name: "caffe.SpatialConvolution_343"
  type: "Convolution"
  bottom: "caffe.BN_341"
  top: "caffe.SpatialConvolution_343"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_344_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_343"
  top: "caffe.BN_344_bn"
}
layer {
  name: "caffe.BN_344_scale"
  type: "Scale"
  bottom: "caffe.BN_344_bn"
  top: "caffe.BN_344"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_345"
  type: "ReLU"
  bottom: "caffe.BN_344"
  top: "caffe.BN_344"
}
layer {
  name: "caffe.SpatialConvolution_346"
  type: "Convolution"
  bottom: "caffe.BN_344"
  top: "caffe.SpatialConvolution_346"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_347_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_346"
  top: "caffe.BN_347_bn"
}
layer {
  name: "caffe.BN_347_scale"
  type: "Scale"
  bottom: "caffe.BN_347_bn"
  top: "caffe.BN_347"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_348"
  type: "Eltwise"
  bottom: "caffe.BN_347"
  bottom: "caffe.Eltwise_338"
  top: "caffe.Eltwise_348"
}
layer {
  name: "caffe.ReLU_349"
  type: "ReLU"
  bottom: "caffe.Eltwise_348"
  top: "caffe.Eltwise_348"
}
layer {
  name: "caffe.SpatialConvolution_350"
  type: "Convolution"
  bottom: "caffe.Eltwise_348"
  top: "caffe.SpatialConvolution_350"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_351_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_350"
  top: "caffe.BN_351_bn"
}
layer {
  name: "caffe.BN_351_scale"
  type: "Scale"
  bottom: "caffe.BN_351_bn"
  top: "caffe.BN_351"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_352"
  type: "ReLU"
  bottom: "caffe.BN_351"
  top: "caffe.BN_351"
}
layer {
  name: "caffe.SpatialConvolution_353"
  type: "Convolution"
  bottom: "caffe.BN_351"
  top: "caffe.SpatialConvolution_353"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_354_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_353"
  top: "caffe.BN_354_bn"
}
layer {
  name: "caffe.BN_354_scale"
  type: "Scale"
  bottom: "caffe.BN_354_bn"
  top: "caffe.BN_354"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_355"
  type: "ReLU"
  bottom: "caffe.BN_354"
  top: "caffe.BN_354"
}
layer {
  name: "caffe.SpatialConvolution_356"
  type: "Convolution"
  bottom: "caffe.BN_354"
  top: "caffe.SpatialConvolution_356"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_357_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_356"
  top: "caffe.BN_357_bn"
}
layer {
  name: "caffe.BN_357_scale"
  type: "Scale"
  bottom: "caffe.BN_357_bn"
  top: "caffe.BN_357"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_358"
  type: "Eltwise"
  bottom: "caffe.BN_357"
  bottom: "caffe.Eltwise_348"
  top: "caffe.Eltwise_358"
}
layer {
  name: "caffe.ReLU_359"
  type: "ReLU"
  bottom: "caffe.Eltwise_358"
  top: "caffe.Eltwise_358"
}
layer {
  name: "caffe.SpatialConvolution_360"
  type: "Convolution"
  bottom: "caffe.Eltwise_358"
  top: "caffe.SpatialConvolution_360"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_361_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_360"
  top: "caffe.BN_361_bn"
}
layer {
  name: "caffe.BN_361_scale"
  type: "Scale"
  bottom: "caffe.BN_361_bn"
  top: "caffe.BN_361"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_362"
  type: "ReLU"
  bottom: "caffe.BN_361"
  top: "caffe.BN_361"
}
layer {
  name: "caffe.SpatialConvolution_363"
  type: "Convolution"
  bottom: "caffe.BN_361"
  top: "caffe.SpatialConvolution_363"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_364_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_363"
  top: "caffe.BN_364_bn"
}
layer {
  name: "caffe.BN_364_scale"
  type: "Scale"
  bottom: "caffe.BN_364_bn"
  top: "caffe.BN_364"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_365"
  type: "ReLU"
  bottom: "caffe.BN_364"
  top: "caffe.BN_364"
}
layer {
  name: "caffe.SpatialConvolution_366"
  type: "Convolution"
  bottom: "caffe.BN_364"
  top: "caffe.SpatialConvolution_366"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_367_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_366"
  top: "caffe.BN_367_bn"
}
layer {
  name: "caffe.BN_367_scale"
  type: "Scale"
  bottom: "caffe.BN_367_bn"
  top: "caffe.BN_367"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_368"
  type: "Eltwise"
  bottom: "caffe.BN_367"
  bottom: "caffe.Eltwise_358"
  top: "caffe.Eltwise_368"
}
layer {
  name: "caffe.ReLU_369"
  type: "ReLU"
  bottom: "caffe.Eltwise_368"
  top: "caffe.Eltwise_368"
}
layer {
  name: "caffe.SpatialConvolution_370"
  type: "Convolution"
  bottom: "caffe.Eltwise_368"
  top: "caffe.SpatialConvolution_370"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_371_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_370"
  top: "caffe.BN_371_bn"
}
layer {
  name: "caffe.BN_371_scale"
  type: "Scale"
  bottom: "caffe.BN_371_bn"
  top: "caffe.BN_371"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_372"
  type: "ReLU"
  bottom: "caffe.BN_371"
  top: "caffe.BN_371"
}
layer {
  name: "caffe.SpatialConvolution_373"
  type: "Convolution"
  bottom: "caffe.BN_371"
  top: "caffe.SpatialConvolution_373"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_374_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_373"
  top: "caffe.BN_374_bn"
}
layer {
  name: "caffe.BN_374_scale"
  type: "Scale"
  bottom: "caffe.BN_374_bn"
  top: "caffe.BN_374"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_375"
  type: "ReLU"
  bottom: "caffe.BN_374"
  top: "caffe.BN_374"
}
layer {
  name: "caffe.SpatialConvolution_376"
  type: "Convolution"
  bottom: "caffe.BN_374"
  top: "caffe.SpatialConvolution_376"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_377_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_376"
  top: "caffe.BN_377_bn"
}
layer {
  name: "caffe.BN_377_scale"
  type: "Scale"
  bottom: "caffe.BN_377_bn"
  top: "caffe.BN_377"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_378"
  type: "Eltwise"
  bottom: "caffe.BN_377"
  bottom: "caffe.Eltwise_368"
  top: "caffe.Eltwise_378"
}
layer {
  name: "caffe.ReLU_379"
  type: "ReLU"
  bottom: "caffe.Eltwise_378"
  top: "caffe.Eltwise_378"
}
layer {
  name: "caffe.SpatialConvolution_380"
  type: "Convolution"
  bottom: "caffe.Eltwise_378"
  top: "caffe.SpatialConvolution_380"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_381_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_380"
  top: "caffe.BN_381_bn"
}
layer {
  name: "caffe.BN_381_scale"
  type: "Scale"
  bottom: "caffe.BN_381_bn"
  top: "caffe.BN_381"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_382"
  type: "ReLU"
  bottom: "caffe.BN_381"
  top: "caffe.BN_381"
}
layer {
  name: "caffe.SpatialConvolution_383"
  type: "Convolution"
  bottom: "caffe.BN_381"
  top: "caffe.SpatialConvolution_383"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_384_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_383"
  top: "caffe.BN_384_bn"
}
layer {
  name: "caffe.BN_384_scale"
  type: "Scale"
  bottom: "caffe.BN_384_bn"
  top: "caffe.BN_384"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_385"
  type: "ReLU"
  bottom: "caffe.BN_384"
  top: "caffe.BN_384"
}
layer {
  name: "caffe.SpatialConvolution_386"
  type: "Convolution"
  bottom: "caffe.BN_384"
  top: "caffe.SpatialConvolution_386"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_387_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_386"
  top: "caffe.BN_387_bn"
}
layer {
  name: "caffe.BN_387_scale"
  type: "Scale"
  bottom: "caffe.BN_387_bn"
  top: "caffe.BN_387"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_388"
  type: "Eltwise"
  bottom: "caffe.BN_387"
  bottom: "caffe.Eltwise_378"
  top: "caffe.Eltwise_388"
}
layer {
  name: "caffe.ReLU_389"
  type: "ReLU"
  bottom: "caffe.Eltwise_388"
  top: "caffe.Eltwise_388"
}
layer {
  name: "caffe.SpatialConvolution_390"
  type: "Convolution"
  bottom: "caffe.Eltwise_388"
  top: "caffe.SpatialConvolution_390"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_391_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_390"
  top: "caffe.BN_391_bn"
}
layer {
  name: "caffe.BN_391_scale"
  type: "Scale"
  bottom: "caffe.BN_391_bn"
  top: "caffe.BN_391"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_392"
  type: "ReLU"
  bottom: "caffe.BN_391"
  top: "caffe.BN_391"
}
layer {
  name: "caffe.SpatialConvolution_393"
  type: "Convolution"
  bottom: "caffe.BN_391"
  top: "caffe.SpatialConvolution_393"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_394_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_393"
  top: "caffe.BN_394_bn"
}
layer {
  name: "caffe.BN_394_scale"
  type: "Scale"
  bottom: "caffe.BN_394_bn"
  top: "caffe.BN_394"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_395"
  type: "ReLU"
  bottom: "caffe.BN_394"
  top: "caffe.BN_394"
}
layer {
  name: "caffe.SpatialConvolution_396"
  type: "Convolution"
  bottom: "caffe.BN_394"
  top: "caffe.SpatialConvolution_396"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_397_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_396"
  top: "caffe.BN_397_bn"
}
layer {
  name: "caffe.BN_397_scale"
  type: "Scale"
  bottom: "caffe.BN_397_bn"
  top: "caffe.BN_397"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_398"
  type: "Eltwise"
  bottom: "caffe.BN_397"
  bottom: "caffe.Eltwise_388"
  top: "caffe.Eltwise_398"
}
layer {
  name: "caffe.ReLU_399"
  type: "ReLU"
  bottom: "caffe.Eltwise_398"
  top: "caffe.Eltwise_398"
}
layer {
  name: "caffe.SpatialConvolution_400"
  type: "Convolution"
  bottom: "caffe.Eltwise_398"
  top: "caffe.SpatialConvolution_400"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_401_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_400"
  top: "caffe.BN_401_bn"
}
layer {
  name: "caffe.BN_401_scale"
  type: "Scale"
  bottom: "caffe.BN_401_bn"
  top: "caffe.BN_401"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_402"
  type: "ReLU"
  bottom: "caffe.BN_401"
  top: "caffe.BN_401"
}
layer {
  name: "caffe.SpatialConvolution_403"
  type: "Convolution"
  bottom: "caffe.BN_401"
  top: "caffe.SpatialConvolution_403"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_404_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_403"
  top: "caffe.BN_404_bn"
}
layer {
  name: "caffe.BN_404_scale"
  type: "Scale"
  bottom: "caffe.BN_404_bn"
  top: "caffe.BN_404"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_405"
  type: "ReLU"
  bottom: "caffe.BN_404"
  top: "caffe.BN_404"
}
layer {
  name: "caffe.SpatialConvolution_406"
  type: "Convolution"
  bottom: "caffe.BN_404"
  top: "caffe.SpatialConvolution_406"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_407_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_406"
  top: "caffe.BN_407_bn"
}
layer {
  name: "caffe.BN_407_scale"
  type: "Scale"
  bottom: "caffe.BN_407_bn"
  top: "caffe.BN_407"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_408"
  type: "Eltwise"
  bottom: "caffe.BN_407"
  bottom: "caffe.Eltwise_398"
  top: "caffe.Eltwise_408"
}
layer {
  name: "caffe.ReLU_409"
  type: "ReLU"
  bottom: "caffe.Eltwise_408"
  top: "caffe.Eltwise_408"
}
layer {
  name: "caffe.SpatialConvolution_410"
  type: "Convolution"
  bottom: "caffe.Eltwise_408"
  top: "caffe.SpatialConvolution_410"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_411_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_410"
  top: "caffe.BN_411_bn"
}
layer {
  name: "caffe.BN_411_scale"
  type: "Scale"
  bottom: "caffe.BN_411_bn"
  top: "caffe.BN_411"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_412"
  type: "ReLU"
  bottom: "caffe.BN_411"
  top: "caffe.BN_411"
}
layer {
  name: "caffe.SpatialConvolution_413"
  type: "Convolution"
  bottom: "caffe.BN_411"
  top: "caffe.SpatialConvolution_413"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_414_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_413"
  top: "caffe.BN_414_bn"
}
layer {
  name: "caffe.BN_414_scale"
  type: "Scale"
  bottom: "caffe.BN_414_bn"
  top: "caffe.BN_414"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_415"
  type: "ReLU"
  bottom: "caffe.BN_414"
  top: "caffe.BN_414"
}
layer {
  name: "caffe.SpatialConvolution_416"
  type: "Convolution"
  bottom: "caffe.BN_414"
  top: "caffe.SpatialConvolution_416"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_417_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_416"
  top: "caffe.BN_417_bn"
}
layer {
  name: "caffe.BN_417_scale"
  type: "Scale"
  bottom: "caffe.BN_417_bn"
  top: "caffe.BN_417"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_418"
  type: "Eltwise"
  bottom: "caffe.BN_417"
  bottom: "caffe.Eltwise_408"
  top: "caffe.Eltwise_418"
}
layer {
  name: "caffe.ReLU_419"
  type: "ReLU"
  bottom: "caffe.Eltwise_418"
  top: "caffe.Eltwise_418"
}
layer {
  name: "caffe.SpatialConvolution_420"
  type: "Convolution"
  bottom: "caffe.Eltwise_418"
  top: "caffe.SpatialConvolution_420"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_421_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_420"
  top: "caffe.BN_421_bn"
}
layer {
  name: "caffe.BN_421_scale"
  type: "Scale"
  bottom: "caffe.BN_421_bn"
  top: "caffe.BN_421"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_422"
  type: "ReLU"
  bottom: "caffe.BN_421"
  top: "caffe.BN_421"
}
layer {
  name: "caffe.SpatialConvolution_423"
  type: "Convolution"
  bottom: "caffe.BN_421"
  top: "caffe.SpatialConvolution_423"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_424_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_423"
  top: "caffe.BN_424_bn"
}
layer {
  name: "caffe.BN_424_scale"
  type: "Scale"
  bottom: "caffe.BN_424_bn"
  top: "caffe.BN_424"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_425"
  type: "ReLU"
  bottom: "caffe.BN_424"
  top: "caffe.BN_424"
}
layer {
  name: "caffe.SpatialConvolution_426"
  type: "Convolution"
  bottom: "caffe.BN_424"
  top: "caffe.SpatialConvolution_426"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_427_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_426"
  top: "caffe.BN_427_bn"
}
layer {
  name: "caffe.BN_427_scale"
  type: "Scale"
  bottom: "caffe.BN_427_bn"
  top: "caffe.BN_427"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_428"
  type: "Eltwise"
  bottom: "caffe.BN_427"
  bottom: "caffe.Eltwise_418"
  top: "caffe.Eltwise_428"
}
layer {
  name: "caffe.ReLU_429"
  type: "ReLU"
  bottom: "caffe.Eltwise_428"
  top: "caffe.Eltwise_428"
}
layer {
  name: "caffe.SpatialConvolution_430"
  type: "Convolution"
  bottom: "caffe.Eltwise_428"
  top: "caffe.SpatialConvolution_430"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_431_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_430"
  top: "caffe.BN_431_bn"
}
layer {
  name: "caffe.BN_431_scale"
  type: "Scale"
  bottom: "caffe.BN_431_bn"
  top: "caffe.BN_431"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_432"
  type: "ReLU"
  bottom: "caffe.BN_431"
  top: "caffe.BN_431"
}
layer {
  name: "caffe.SpatialConvolution_433"
  type: "Convolution"
  bottom: "caffe.BN_431"
  top: "caffe.SpatialConvolution_433"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_434_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_433"
  top: "caffe.BN_434_bn"
}
layer {
  name: "caffe.BN_434_scale"
  type: "Scale"
  bottom: "caffe.BN_434_bn"
  top: "caffe.BN_434"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_435"
  type: "ReLU"
  bottom: "caffe.BN_434"
  top: "caffe.BN_434"
}
layer {
  name: "caffe.SpatialConvolution_436"
  type: "Convolution"
  bottom: "caffe.BN_434"
  top: "caffe.SpatialConvolution_436"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_437_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_436"
  top: "caffe.BN_437_bn"
}
layer {
  name: "caffe.BN_437_scale"
  type: "Scale"
  bottom: "caffe.BN_437_bn"
  top: "caffe.BN_437"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_438"
  type: "Eltwise"
  bottom: "caffe.BN_437"
  bottom: "caffe.Eltwise_428"
  top: "caffe.Eltwise_438"
}
layer {
  name: "caffe.ReLU_439"
  type: "ReLU"
  bottom: "caffe.Eltwise_438"
  top: "caffe.Eltwise_438"
}
layer {
  name: "caffe.SpatialConvolution_440"
  type: "Convolution"
  bottom: "caffe.Eltwise_438"
  top: "caffe.SpatialConvolution_440"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_441_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_440"
  top: "caffe.BN_441_bn"
}
layer {
  name: "caffe.BN_441_scale"
  type: "Scale"
  bottom: "caffe.BN_441_bn"
  top: "caffe.BN_441"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_442"
  type: "ReLU"
  bottom: "caffe.BN_441"
  top: "caffe.BN_441"
}
layer {
  name: "caffe.SpatialConvolution_443"
  type: "Convolution"
  bottom: "caffe.BN_441"
  top: "caffe.SpatialConvolution_443"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_444_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_443"
  top: "caffe.BN_444_bn"
}
layer {
  name: "caffe.BN_444_scale"
  type: "Scale"
  bottom: "caffe.BN_444_bn"
  top: "caffe.BN_444"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_445"
  type: "ReLU"
  bottom: "caffe.BN_444"
  top: "caffe.BN_444"
}
layer {
  name: "caffe.SpatialConvolution_446"
  type: "Convolution"
  bottom: "caffe.BN_444"
  top: "caffe.SpatialConvolution_446"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_447_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_446"
  top: "caffe.BN_447_bn"
}
layer {
  name: "caffe.BN_447_scale"
  type: "Scale"
  bottom: "caffe.BN_447_bn"
  top: "caffe.BN_447"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_448"
  type: "Eltwise"
  bottom: "caffe.BN_447"
  bottom: "caffe.Eltwise_438"
  top: "caffe.Eltwise_448"
}
layer {
  name: "caffe.ReLU_449"
  type: "ReLU"
  bottom: "caffe.Eltwise_448"
  top: "caffe.Eltwise_448"
}
layer {
  name: "caffe.SpatialConvolution_450"
  type: "Convolution"
  bottom: "caffe.Eltwise_448"
  top: "caffe.SpatialConvolution_450"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_451_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_450"
  top: "caffe.BN_451_bn"
}
layer {
  name: "caffe.BN_451_scale"
  type: "Scale"
  bottom: "caffe.BN_451_bn"
  top: "caffe.BN_451"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_452"
  type: "ReLU"
  bottom: "caffe.BN_451"
  top: "caffe.BN_451"
}
layer {
  name: "caffe.SpatialConvolution_453"
  type: "Convolution"
  bottom: "caffe.BN_451"
  top: "caffe.SpatialConvolution_453"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_454_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_453"
  top: "caffe.BN_454_bn"
}
layer {
  name: "caffe.BN_454_scale"
  type: "Scale"
  bottom: "caffe.BN_454_bn"
  top: "caffe.BN_454"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_455"
  type: "ReLU"
  bottom: "caffe.BN_454"
  top: "caffe.BN_454"
}
layer {
  name: "caffe.SpatialConvolution_456"
  type: "Convolution"
  bottom: "caffe.BN_454"
  top: "caffe.SpatialConvolution_456"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_457_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_456"
  top: "caffe.BN_457_bn"
}
layer {
  name: "caffe.BN_457_scale"
  type: "Scale"
  bottom: "caffe.BN_457_bn"
  top: "caffe.BN_457"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_458"
  type: "Eltwise"
  bottom: "caffe.BN_457"
  bottom: "caffe.Eltwise_448"
  top: "caffe.Eltwise_458"
}
layer {
  name: "caffe.ReLU_459"
  type: "ReLU"
  bottom: "caffe.Eltwise_458"
  top: "caffe.Eltwise_458"
}
layer {
  name: "caffe.SpatialConvolution_460"
  type: "Convolution"
  bottom: "caffe.Eltwise_458"
  top: "caffe.SpatialConvolution_460"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_461_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_460"
  top: "caffe.BN_461_bn"
}
layer {
  name: "caffe.BN_461_scale"
  type: "Scale"
  bottom: "caffe.BN_461_bn"
  top: "caffe.BN_461"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_462"
  type: "ReLU"
  bottom: "caffe.BN_461"
  top: "caffe.BN_461"
}
layer {
  name: "caffe.SpatialConvolution_463"
  type: "Convolution"
  bottom: "caffe.BN_461"
  top: "caffe.SpatialConvolution_463"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_464_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_463"
  top: "caffe.BN_464_bn"
}
layer {
  name: "caffe.BN_464_scale"
  type: "Scale"
  bottom: "caffe.BN_464_bn"
  top: "caffe.BN_464"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_465"
  type: "ReLU"
  bottom: "caffe.BN_464"
  top: "caffe.BN_464"
}
layer {
  name: "caffe.SpatialConvolution_466"
  type: "Convolution"
  bottom: "caffe.BN_464"
  top: "caffe.SpatialConvolution_466"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_467_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_466"
  top: "caffe.BN_467_bn"
}
layer {
  name: "caffe.BN_467_scale"
  type: "Scale"
  bottom: "caffe.BN_467_bn"
  top: "caffe.BN_467"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_468"
  type: "Eltwise"
  bottom: "caffe.BN_467"
  bottom: "caffe.Eltwise_458"
  top: "caffe.Eltwise_468"
}
layer {
  name: "caffe.ReLU_469"
  type: "ReLU"
  bottom: "caffe.Eltwise_468"
  top: "caffe.Eltwise_468"
}
layer {
  name: "caffe.SpatialConvolution_470"
  type: "Convolution"
  bottom: "caffe.Eltwise_468"
  top: "caffe.SpatialConvolution_470"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_471_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_470"
  top: "caffe.BN_471_bn"
}
layer {
  name: "caffe.BN_471_scale"
  type: "Scale"
  bottom: "caffe.BN_471_bn"
  top: "caffe.BN_471"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_472"
  type: "ReLU"
  bottom: "caffe.BN_471"
  top: "caffe.BN_471"
}
layer {
  name: "caffe.SpatialConvolution_473"
  type: "Convolution"
  bottom: "caffe.BN_471"
  top: "caffe.SpatialConvolution_473"
  convolution_param {
    num_output: 256
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_474_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_473"
  top: "caffe.BN_474_bn"
}
layer {
  name: "caffe.BN_474_scale"
  type: "Scale"
  bottom: "caffe.BN_474_bn"
  top: "caffe.BN_474"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_475"
  type: "ReLU"
  bottom: "caffe.BN_474"
  top: "caffe.BN_474"
}
layer {
  name: "caffe.SpatialConvolution_476"
  type: "Convolution"
  bottom: "caffe.BN_474"
  top: "caffe.SpatialConvolution_476"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_477_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_476"
  top: "caffe.BN_477_bn"
}
layer {
  name: "caffe.BN_477_scale"
  type: "Scale"
  bottom: "caffe.BN_477_bn"
  top: "caffe.BN_477"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_478"
  type: "Eltwise"
  bottom: "caffe.BN_477"
  bottom: "caffe.Eltwise_468"
  top: "caffe.Eltwise_478"
}
layer {
  name: "caffe.ReLU_479"
  type: "ReLU"
  bottom: "caffe.Eltwise_478"
  top: "caffe.Eltwise_478"
}
layer {
  name: "caffe.SpatialConvolution_480"
  type: "Convolution"
  bottom: "caffe.Eltwise_478"
  top: "caffe.SpatialConvolution_480"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_481_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_480"
  top: "caffe.BN_481_bn"
}
layer {
  name: "caffe.BN_481_scale"
  type: "Scale"
  bottom: "caffe.BN_481_bn"
  top: "caffe.BN_481"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_482"
  type: "ReLU"
  bottom: "caffe.BN_481"
  top: "caffe.BN_481"
}
layer {
  name: "caffe.SpatialConvolution_483"
  type: "Convolution"
  bottom: "caffe.BN_481"
  top: "caffe.SpatialConvolution_483"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_484_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_483"
  top: "caffe.BN_484_bn"
}
layer {
  name: "caffe.BN_484_scale"
  type: "Scale"
  bottom: "caffe.BN_484_bn"
  top: "caffe.BN_484"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_485"
  type: "ReLU"
  bottom: "caffe.BN_484"
  top: "caffe.BN_484"
}
layer {
  name: "caffe.SpatialConvolution_486"
  type: "Convolution"
  bottom: "caffe.BN_484"
  top: "caffe.SpatialConvolution_486"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_487_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_486"
  top: "caffe.BN_487_bn"
}
layer {
  name: "caffe.BN_487_scale"
  type: "Scale"
  bottom: "caffe.BN_487_bn"
  top: "caffe.BN_487"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.SpatialConvolution_488"
  type: "Convolution"
  bottom: "caffe.Eltwise_478"
  top: "caffe.SpatialConvolution_488"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_489_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_488"
  top: "caffe.BN_489_bn"
}
layer {
  name: "caffe.BN_489_scale"
  type: "Scale"
  bottom: "caffe.BN_489_bn"
  top: "caffe.BN_489"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_490"
  type: "Eltwise"
  bottom: "caffe.BN_487"
  bottom: "caffe.BN_489"
  top: "caffe.Eltwise_490"
}
layer {
  name: "caffe.ReLU_491"
  type: "ReLU"
  bottom: "caffe.Eltwise_490"
  top: "caffe.Eltwise_490"
}
layer {
  name: "caffe.SpatialConvolution_492"
  type: "Convolution"
  bottom: "caffe.Eltwise_490"
  top: "caffe.SpatialConvolution_492"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_493_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_492"
  top: "caffe.BN_493_bn"
}
layer {
  name: "caffe.BN_493_scale"
  type: "Scale"
  bottom: "caffe.BN_493_bn"
  top: "caffe.BN_493"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_494"
  type: "ReLU"
  bottom: "caffe.BN_493"
  top: "caffe.BN_493"
}
layer {
  name: "caffe.SpatialConvolution_495"
  type: "Convolution"
  bottom: "caffe.BN_493"
  top: "caffe.SpatialConvolution_495"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_496_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_495"
  top: "caffe.BN_496_bn"
}
layer {
  name: "caffe.BN_496_scale"
  type: "Scale"
  bottom: "caffe.BN_496_bn"
  top: "caffe.BN_496"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_497"
  type: "ReLU"
  bottom: "caffe.BN_496"
  top: "caffe.BN_496"
}
layer {
  name: "caffe.SpatialConvolution_498"
  type: "Convolution"
  bottom: "caffe.BN_496"
  top: "caffe.SpatialConvolution_498"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_499_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_498"
  top: "caffe.BN_499_bn"
}
layer {
  name: "caffe.BN_499_scale"
  type: "Scale"
  bottom: "caffe.BN_499_bn"
  top: "caffe.BN_499"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_500"
  type: "Eltwise"
  bottom: "caffe.BN_499"
  bottom: "caffe.Eltwise_490"
  top: "caffe.Eltwise_500"
}
layer {
  name: "caffe.ReLU_501"
  type: "ReLU"
  bottom: "caffe.Eltwise_500"
  top: "caffe.Eltwise_500"
}
layer {
  name: "caffe.SpatialConvolution_502"
  type: "Convolution"
  bottom: "caffe.Eltwise_500"
  top: "caffe.SpatialConvolution_502"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_503_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_502"
  top: "caffe.BN_503_bn"
}
layer {
  name: "caffe.BN_503_scale"
  type: "Scale"
  bottom: "caffe.BN_503_bn"
  top: "caffe.BN_503"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_504"
  type: "ReLU"
  bottom: "caffe.BN_503"
  top: "caffe.BN_503"
}
layer {
  name: "caffe.SpatialConvolution_505"
  type: "Convolution"
  bottom: "caffe.BN_503"
  top: "caffe.SpatialConvolution_505"
  convolution_param {
    num_output: 512
    bias_term: false
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_506_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_505"
  top: "caffe.BN_506_bn"
}
layer {
  name: "caffe.BN_506_scale"
  type: "Scale"
  bottom: "caffe.BN_506_bn"
  top: "caffe.BN_506"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_507"
  type: "ReLU"
  bottom: "caffe.BN_506"
  top: "caffe.BN_506"
}
layer {
  name: "caffe.SpatialConvolution_508"
  type: "Convolution"
  bottom: "caffe.BN_506"
  top: "caffe.SpatialConvolution_508"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_509_bn"
  type: "BatchNorm"
  bottom: "caffe.SpatialConvolution_508"
  top: "caffe.BN_509_bn"
}
layer {
  name: "caffe.BN_509_scale"
  type: "Scale"
  bottom: "caffe.BN_509_bn"
  top: "caffe.BN_509"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.Eltwise_510"
  type: "Eltwise"
  bottom: "caffe.BN_509"
  bottom: "caffe.Eltwise_500"
  top: "caffe.Eltwise_510"
}
layer {
  name: "caffe.ReLU_511"
  type: "ReLU"
  bottom: "caffe.Eltwise_510"
  top: "caffe.Eltwise_510"
}
layer {
  name: "caffe.Pooling_512"
  type: "Pooling"
  bottom: "caffe.Eltwise_510"
  top: "caffe.Pooling_512"
  pooling_param {
    pool: AVE
    kernel_h: 7
    kernel_w: 7
    stride_h: 1
    stride_w: 1
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "caffe.Flatten_513"
  type: "Flatten"
  bottom: "caffe.Pooling_512"
  top: "caffe.Flatten_513"
}
layer {
  name: "caffe.InnerProduct_514"
  type: "InnerProduct"
  bottom: "caffe.Flatten_513"
  top: "caffe.InnerProduct_514"
  inner_product_param {
    num_output: 365
    axis: -1
  }
}