message: Fix kernel_util: all we need to do is input_product_scale & bias_scale are very similar.
  previous logic can fail if both input_product_scale & bias_scale are already very small numbers.
diff: @@ -124,9 +124,11 @@ TfLiteStatus GetQuantizedConvolutionMultipler(TfLiteContext* context,
  // pipeline.
  if (bias) {
  const double bias_scale = static_cast<double>(bias->params.scale);
  - TF_LITE_ENSURE(context,
  - std::abs(input_product_scale - bias_scale) <=
  - 1e-6 * std::min(input_product_scale, bias_scale));
  + // Here we're making sure the input_product_scale & bias_scale the same.
  + // Normally this should be guaranteed by the training pipeline, we are
  + // setting the threshold to be 2e-6 to allow some numeric stability
  + // difference.
  + TF_LITE_ENSURE(context, std::abs(input_product_scale - bias_scale) <= 2e-6);
  }
  return GetQuantizedConvolutionMultipler(context, input, filter, output,
  multiplier);
  