message: Use optimized dequantizer for detection postprocess.
diff: @@ -750,11 +750,13 @@ void DequantizeClassPredictions(const TfLiteTensor* input_class_predictions,
  float quant_zero_point =
  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);
  - for (int idx = 0; idx < num_boxes * num_classes_with_background; ++idx) {
  - GetTensorData<float>(scores)[idx] = dequantize(scores_quant[idx]);
  - }
  + tflite::DequantizationParams op_params;
  + op_params.zero_point = quant_zero_point;
  + op_params.scale = quant_scale;
  + const auto shape = RuntimeShape(1, num_boxes * num_classes_with_background);
  + optimized_ops::Dequantize(op_params, shape,
  + GetTensorData<uint8>(input_class_predictions),
  + shape, GetTensorData<float>(scores));
  }
  TfLiteStatus NonMaxSuppressionMultiClass(TfLiteContext* context,
  