// non-float tensor types will be skipped because they are not quantizable.
  // Return true if number of input nodes doesn't equal to that of the input
  // ranges.
  bool SetInputNodesQuantizationParams(func::FuncOp func);

  // The function might contain more stats ops than required, and it will
  // introduce requantize if the calibration stats have conflicts. This method

  // non-float tensor types will be skipped because they are not quantizable.
  // Return true if number of input nodes doesn't equal to that of the input
  // ranges.
  bool SetInputNodesQuantizationParams(func::FuncOp func);

  // The function might contain more stats ops than required, and it will
  // introduce requantize if the calibration stats have conflicts. This method

  }

  if (toco_flags.has_qdq_conversion_mode() &&
      toco_flags.qdq_conversion_mode() != "NONE") {
    // Setting this flag causes
    // PrepareQuantize::SetInputNodesQuantizationParams() to be false and allows
    // PrepareQuantizePass to complete. For the most part this step is
    // unnecessary for non-TF QDQ models.
    pass_config.quant_specs.disable_set_input_nodes_quantization_params = true;