// Convert to flatbuffer.
  std::string serialized_flatbuffer;
  tflite::FlatbufferExportOptions options;
  options.toco_flags.set_force_select_tf_ops(!emit_builtin_tflite_ops);
  options.toco_flags.set_enable_select_tf_ops(emit_select_tf_ops);
  options.toco_flags.set_allow_custom_ops(emit_custom_ops);
  if (!tflite::MlirToFlatBufferTranslateFunction(module.get(), options,

  // The tensorflow list is not supported right now by that pass.
  // Enable fusing composite ops that can be lowered to built-in TFLite ops.
  if (pass_config.emit_builtin_tflite_ops &&
      toco_flags.tf_quantization_mode().empty()) {
    pass_manager->addPass(mlir::TFL::CreatePrepareCompositeFunctionsPass());
  }

  pass_manager->addPass(mlir::createInlinerPass());

  }

  // TODO: b/176267167 - Quantize flex fallback in the MLIR pipeline
  if (quant_specs.weight_quantization &&
      (!quant_specs.RunAndRewriteDynamicRangeQuantizationPasses() ||
       !pass_config.emit_builtin_tflite_ops)) {
    // Apply post-training dynamic range quantization from the old TOCO
    // quantizer.Once MLIR has support for this, we can remove this if
    // statement.