message: TFLu: Fix for internal build error in detection_pp
diff: @@ -278,7 +278,7 @@ class Dequantizer {
  public:
  Dequantizer(int zero_point, float scale)
  : zero_point_(zero_point), scale_(scale) {}
  - float operator()(uint8 x) {
  + float operator()(uint8_t x) {
  return (static_cast<float>(x) - zero_point_) * scale_;
  }
  @@ -291,8 +291,8 @@ void DequantizeBoxEncodings(const TfLiteTensor* input_box_encodings, int idx,
  float quant_zero_point, float quant_scale,
  int length_box_encoding,
  CenterSizeEncoding* box_centersize) {
  - const uint8* boxes =
  - GetTensorData<uint8>(input_box_encodings) + length_box_encoding * idx;
  + const uint8_t* boxes =
  + GetTensorData<uint8_t>(input_box_encodings) + length_box_encoding * idx;
  Dequantizer dequantize(quant_zero_point, quant_scale);
  // See definition of the KeyPointBoxCoder at
  // https://github.com/tensorflow/models/blob/master/research/object_detection/box_coders/keypoint_box_coder.py
  @@ -737,7 +737,7 @@ void DequantizeClassPredictions(const TfLiteTensor* input_class_predictions,
  static_cast<float>(input_class_predictions->params.zero_point);
  float quant_scale = static_cast<float>(input_class_predictions->params.scale);
  Dequantizer dequantize(quant_zero_point, quant_scale);
  - const uint8* scores_quant = GetTensorData<uint8>(input_class_predictions);
  + const uint8_t* scores_quant = GetTensorData<uint8_t>(input_class_predictions);
  for (int idx = 0; idx < num_boxes * num_classes_with_background; ++idx) {
  scores[idx] = dequantize(scores_quant[idx]);
  }
  