ssdmobilenet_V1_coco.pbtxt

node {
  name: "image_tensor"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_UINT8
    }
  }
  attr {
    key: "shape"
    value {
      shape {
        dim {
          size: -1
        }
        dim {
          size: -1
        }
        dim {
          size: -1
        }
        dim {
          size: 3
        }
      }
    }
  }
}
node {
  name: "Preprocessor/mul"
  op: "Mul"
  input: "image_tensor"
  input: "Preprocessor/mul/x"
}
node {
  name: "Preprocessor/sub"
  op: "Sub"
  input: "Preprocessor/mul"
  input: "Preprocessor/sub/y"
}
node {
  name: "FeatureExtractor/MobilenetV2/Conv/Conv2D"
  op: "Conv2D"
  input: "Preprocessor/sub"
  input: "FeatureExtractor/MobilenetV2/Conv/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/Conv/Conv2D"
  input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/Conv/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/Conv/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv/output"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv/output"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_1/output"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/output"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_2/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_1/output"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_2/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_3/output"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/output"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_4/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_3/output"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_4/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_5/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/input"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_5/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_6/output"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/output"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_7/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_6/output"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_7/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_8/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/input"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_8/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_9/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/input"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_9/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_10/output"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/output"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_11/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_10/output"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_11/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_12/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/input"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_12/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_13/output"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/output"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_14/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/output"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_14/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_15/add"
  op: "Add"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/add_1"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/input"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/input"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_15/add"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/input"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/expanded_conv_16/output"
  op: "Identity"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/Conv_1/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_16/output"
  input: "FeatureExtractor/MobilenetV2/Conv_1/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/Conv_1/Conv2D"
  input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/Conv_1/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise"
  op: "DepthwiseConv2dNative"
  input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise_weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 2
        i: 2
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1"
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1"
  op: "FusedBatchNorm"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/beta"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance"
  attr {
    key: "epsilon"
    value {
      f: 0.001
    }
  }
}
node {
  name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6"
  op: "Relu6"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1"
}
node {
  name: "BoxPredictor_0/BoxEncodingPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6"
  input: "BoxPredictor_0/BoxEncodingPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "loc_pred_transposed"
    value {
      b: true
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_0/BoxEncodingPredictor/Conv2D"
  input: "BoxPredictor_0/BoxEncodingPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_0/ClassPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6"
  input: "BoxPredictor_0/ClassPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_0/ClassPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_0/ClassPredictor/Conv2D"
  input: "BoxPredictor_0/ClassPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_1/BoxEncodingPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6"
  input: "BoxPredictor_1/BoxEncodingPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "loc_pred_transposed"
    value {
      b: true
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_1/BoxEncodingPredictor/Conv2D"
  input: "BoxPredictor_1/BoxEncodingPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_1/ClassPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6"
  input: "BoxPredictor_1/ClassPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_1/ClassPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_1/ClassPredictor/Conv2D"
  input: "BoxPredictor_1/ClassPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_2/BoxEncodingPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6"
  input: "BoxPredictor_2/BoxEncodingPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "loc_pred_transposed"
    value {
      b: true
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_2/BoxEncodingPredictor/Conv2D"
  input: "BoxPredictor_2/BoxEncodingPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_2/ClassPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6"
  input: "BoxPredictor_2/ClassPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_2/ClassPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_2/ClassPredictor/Conv2D"
  input: "BoxPredictor_2/ClassPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_3/BoxEncodingPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6"
  input: "BoxPredictor_3/BoxEncodingPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "loc_pred_transposed"
    value {
      b: true
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_3/BoxEncodingPredictor/Conv2D"
  input: "BoxPredictor_3/BoxEncodingPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_3/ClassPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6"
  input: "BoxPredictor_3/ClassPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_3/ClassPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_3/ClassPredictor/Conv2D"
  input: "BoxPredictor_3/ClassPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_4/BoxEncodingPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6"
  input: "BoxPredictor_4/BoxEncodingPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "loc_pred_transposed"
    value {
      b: true
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_4/BoxEncodingPredictor/Conv2D"
  input: "BoxPredictor_4/BoxEncodingPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_4/ClassPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6"
  input: "BoxPredictor_4/ClassPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_4/ClassPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_4/ClassPredictor/Conv2D"
  input: "BoxPredictor_4/ClassPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_5/BoxEncodingPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6"
  input: "BoxPredictor_5/BoxEncodingPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "loc_pred_transposed"
    value {
      b: true
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_5/BoxEncodingPredictor/Conv2D"
  input: "BoxPredictor_5/BoxEncodingPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "BoxPredictor_5/ClassPredictor/Conv2D"
  op: "Conv2D"
  input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6"
  input: "BoxPredictor_5/ClassPredictor/weights"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
  attr {
    key: "dilations"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
  attr {
    key: "padding"
    value {
      s: "SAME"
    }
  }
  attr {
    key: "strides"
    value {
      list {
        i: 1
        i: 1
        i: 1
        i: 1
      }
    }
  }
}
node {
  name: "BoxPredictor_5/ClassPredictor/BiasAdd"
  op: "BiasAdd"
  input: "BoxPredictor_5/ClassPredictor/Conv2D"
  input: "BoxPredictor_5/ClassPredictor/biases"
  attr {
    key: "data_format"
    value {
      s: "NHWC"
    }
  }
}
node {
  name: "concat/axis_flatten"
  op: "Const"
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        int_val: -1
        tensor_shape {
          dim {
            size: 1
          }
        }
      }
    }
  }
}
node {
  name: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_0/ClassPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_1/ClassPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_2/ClassPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_3/ClassPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_4/ClassPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_5/ClassPredictor/BiasAdd"
}
node {
  name: "ClassPredictor/concat"
  op: "ConcatV2"
  input: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten"
  input: "concat/axis_flatten"
}
node {
  name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
}
node {
  name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten"
  op: "Flatten"
  input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
}
node {
  name: "BoxEncodingPredictor/concat"
  op: "ConcatV2"
  input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten"
  input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten"
  input: "concat/axis_flatten"
}
node {
  name: "PriorBox_0"
  op: "PriorBox"
  input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
  input: "image_tensor"
  attr {
    key: "clip"
    value {
      b: false
    }
  }
  attr {
    key: "flip"
    value {
      b: false
    }
  }
  attr {
    key: "height"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 30.0
        float_val: 42.42640750334631
        float_val: 84.85281500669262
        tensor_shape {
          dim {
            size: 3
          }
        }
      }
    }
  }
  attr {
    key: "variance"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 0.1
        float_val: 0.1
        float_val: 0.2
        float_val: 0.2
        tensor_shape {
          dim {
            size: 4
          }
        }
      }
    }
  }
  attr {
    key: "width"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 30.0
        float_val: 84.85281500669265
        float_val: 42.426407503346326
        tensor_shape {
          dim {
            size: 3
          }
        }
      }
    }
  }
}
node {
  name: "PriorBox_1"
  op: "PriorBox"
  input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
  input: "image_tensor"
  attr {
    key: "clip"
    value {
      b: false
    }
  }
  attr {
    key: "flip"
    value {
      b: false
    }
  }
  attr {
    key: "height"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 104.99999999994
        float_val: 74.24621202454506
        float_val: 148.49242404909012
        float_val: 60.62177826487607
        float_val: 181.87443025249192
        float_val: 125.49900360603824
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
  attr {
    key: "variance"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 0.1
        float_val: 0.1
        float_val: 0.2
        float_val: 0.2
        tensor_shape {
          dim {
            size: 4
          }
        }
      }
    }
  }
  attr {
    key: "width"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 104.99999999994
        float_val: 148.49242404909015
        float_val: 74.24621202454507
        float_val: 181.8653347946282
        float_val: 60.61874659720808
        float_val: 125.49900360603824
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
}
node {
  name: "PriorBox_2"
  op: "PriorBox"
  input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
  input: "image_tensor"
  attr {
    key: "clip"
    value {
      b: false
    }
  }
  attr {
    key: "flip"
    value {
      b: false
    }
  }
  attr {
    key: "height"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 149.99999910588
        float_val: 106.06601654574379
        float_val: 212.13203309148759
        float_val: 86.60253986222344
        float_val: 259.8206130978267
        float_val: 171.02631247097506
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
  attr {
    key: "variance"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 0.1
        float_val: 0.1
        float_val: 0.2
        float_val: 0.2
        tensor_shape {
          dim {
            size: 4
          }
        }
      }
    }
  }
  attr {
    key: "width"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 149.99999910588
        float_val: 212.1320330914876
        float_val: 106.0660165457438
        float_val: 259.8076195866703
        float_val: 86.59820890843783
        float_val: 171.02631247097506
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
}
node {
  name: "PriorBox_3"
  op: "PriorBox"
  input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
  input: "image_tensor"
  attr {
    key: "clip"
    value {
      b: false
    }
  }
  attr {
    key: "flip"
    value {
      b: false
    }
  }
  attr {
    key: "height"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 194.99999821182
        float_val: 137.88582106694255
        float_val: 275.7716421338851
        float_val: 112.58330145957083
        float_val: 337.7667959431616
        float_val: 216.3330743270663
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
  attr {
    key: "variance"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 0.1
        float_val: 0.1
        float_val: 0.2
        float_val: 0.2
        tensor_shape {
          dim {
            size: 4
          }
        }
      }
    }
  }
  attr {
    key: "width"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 194.99999821182
        float_val: 275.77164213388517
        float_val: 137.88582106694258
        float_val: 337.7499043787124
        float_val: 112.57767121966761
        float_val: 216.3330743270663
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
}
node {
  name: "PriorBox_4"
  op: "PriorBox"
  input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
  input: "image_tensor"
  attr {
    key: "clip"
    value {
      b: false
    }
  }
  attr {
    key: "flip"
    value {
      b: false
    }
  }
  attr {
    key: "height"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 239.99999731775998
        float_val: 169.7056255881413
        float_val: 339.4112511762826
        float_val: 138.5640630569182
        float_val: 415.71297878849646
        float_val: 261.5339335100698
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
  attr {
    key: "variance"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 0.1
        float_val: 0.1
        float_val: 0.2
        float_val: 0.2
        tensor_shape {
          dim {
            size: 4
          }
        }
      }
    }
  }
  attr {
    key: "width"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 239.99999731775998
        float_val: 339.41125117628263
        float_val: 169.70562558814132
        float_val: 415.69218917075455
        float_val: 138.55713353089737
        float_val: 261.5339335100698
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
}
node {
  name: "PriorBox_5"
  op: "PriorBox"
  input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
  input: "image_tensor"
  attr {
    key: "clip"
    value {
      b: false
    }
  }
  attr {
    key: "flip"
    value {
      b: false
    }
  }
  attr {
    key: "height"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 284.9999964237
        float_val: 201.52543010934002
        float_val: 403.05086021868004
        float_val: 164.5448246542656
        float_val: 493.6591616338313
        float_val: 292.40382850966574
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
  attr {
    key: "variance"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 0.1
        float_val: 0.1
        float_val: 0.2
        float_val: 0.2
        tensor_shape {
          dim {
            size: 4
          }
        }
      }
    }
  }
  attr {
    key: "width"
    value {
      tensor {
        dtype: DT_FLOAT
        float_val: 284.9999964237
        float_val: 403.05086021868016
        float_val: 201.52543010934008
        float_val: 493.6344739627967
        float_val: 164.53659584212716
        float_val: 292.40382850966574
        tensor_shape {
          dim {
            size: 6
          }
        }
      }
    }
  }
}
node {
  name: "PriorBox/concat"
  op: "ConcatV2"
  input: "PriorBox_0"
  input: "PriorBox_1"
  input: "PriorBox_2"
  input: "PriorBox_3"
  input: "PriorBox_4"
  input: "PriorBox_5"
  input: "concat/axis_flatten"
}
node {
  name: "ClassPredictor/concat3d/shape"
  op: "Const"
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        int_val: 0
        int_val: -1
        int_val: 91
        tensor_shape {
          dim {
            size: 3
          }
        }
      }
    }
  }
}
node {
  name: "ClassPredictor/concat3d"
  op: "Reshape"
  input: "ClassPredictor/concat"
  input: "ClassPredictor/concat3d/shape"
}
node {
  name: "ClassPredictor/concat/sigmoid"
  op: "Sigmoid"
  input: "ClassPredictor/concat3d"
}
node {
  name: "ClassPredictor/concat/sigmoid/Flatten"
  op: "Flatten"
  input: "ClassPredictor/concat/sigmoid"
}
node {
  name: "detection_out"
  op: "DetectionOutput"
  input: "BoxEncodingPredictor/concat"
  input: "ClassPredictor/concat/sigmoid/Flatten"
  input: "PriorBox/concat"
  attr {
    key: "background_label_id"
    value {
      i: 0
    }
  }
  attr {
    key: "code_type"
    value {
      s: "CENTER_SIZE"
    }
  }
  attr {
    key: "confidence_threshold"
    value {
      f: 0.300000011921
    }
  }
  attr {
    key: "keep_top_k"
    value {
      i: 100
    }
  }
  attr {
    key: "nms_threshold"
    value {
      f: 0.600000023842
    }
  }
  attr {
    key: "num_classes"
    value {
      i: 91
    }
  }
  attr {
    key: "share_location"
    value {
      b: true
    }
  }
  attr {
    key: "top_k"
    value {
      i: 100
    }
  }
}