// Whether to run the passes to propagate the quantization parameters and
  // graph rewrites. Returns false if the inference_type is DT_FLOAT or
  // `weight_quantization` flag is set.
  bool RunPropagationAndRewriteQuantizationPasses() const {
    return inference_type != tensorflow::DT_FLOAT && !weight_quantization;
  }

  // TODO: b/202075505 - make implicit weight type clearer

    // completed. Add either full integer quantization or dynamic range
    // quantization passes based on quant_specs.
    if (pass_config.quant_specs.RunPropagationAndRewriteQuantizationPasses() ||
        pass_config.quant_specs.qdq_conversion_mode !=
            mlir::quant::QDQConversionMode::kQDQNone) {
      AddQuantizationPasses(pass_config, *pass_manager);