// replaced by individual `Method` in `QuantizationSpecs`.
  options.enable_per_channel_quantized_weight_ = true;
  // For debugging purposes.
  options.mlir_dump_file_name_ = "quantize_composite_functions";
  options.merge_fusion_with_dequantize_ =
      pipeline_config.merge_fusion_with_dequantize();

  AddShapeLegalizationPasses(pm);
  pm.addNestedPass<func::FuncOp>(

  if (merge_fusion_with_dequantize_) {
    pm.addPass(createMergeFusionWithDequantizePass());
  }

  ModuleOp module_op = getOperation();
  if (const absl::Status pm_run_status =
          RunPassesOnModuleOp(mlir_dump_file_name_, pm, module_op);
      !pm_run_status.ok()) {
    signalPassFailure();
  }
}

}  // namespace

      const int min_num_elements_for_weights,
      const bool enable_legacy_weight_only,
      std::optional<const std::string> mlir_dump_file_name)
      : enable_legacy_weight_only_(enable_legacy_weight_only),
        min_num_elements_for_weights_(min_num_elements_for_weights),
        mlir_dump_file_name_(std::move(mlir_dump_file_name)) {
    quantization_method_ = quantization_method;
    target_opset_ = target_opset;

    Option<"enable_per_channel_quantized_weight_",
        "enable-per-channel-quantized-weight",
        "bool", /*default=*/"true",
        "Whether to enable per-channel quantized weights.">,
    Option<"mlir_dump_file_name_", "mlir-dump-file-name",
        "std::optional<std::string>", /*default=*/"std::nullopt",
        "MLIR dump file name.">,
    Option<"merge_fusion_with_dequantize_",
        "merge-fusion-with-dequantize",

absl::Status RunPassesOnModuleOp(
    std::optional<absl::string_view> mlir_dump_file_name,
    mlir::PassManager& pass_manager, mlir::ModuleOp module_op) {
  mlir::StatusScopedDiagnosticHandler statusHandler(module_op.getContext(),
                                                    /*propagate=*/true);

  absl::StatusOr<std::unique_ptr<llvm::raw_ostream>> dump_file;
  if (mlir_dump_file_name) {

    AddXlaCallModuleOpDeserializationPasses(pm_after_freezing_variables);
  }

  if (const auto pre_variable_freezing_status = RunPassesOnModuleOp(
          /*mlir_dump_file_name=*/absl::StrCat(
              mlir_dump_file_prefix, "_preprocess_pre_variable_freezing"),
          pm_before_freezing_variables, module_op);
      !pre_variable_freezing_status.ok()) {

// conditions.
//
// Returns a non-OK status when the pass run fails or it fails to create an MLIR
// dump file.
absl::Status RunPassesOnModuleOp(
    std::optional<absl::string_view> mlir_dump_file_name,
    mlir::PassManager& pass_manager, mlir::ModuleOp module_op);

}  // namespace quantization
}  // namespace tensorflow

  ModuleOp module_op = getOperation();
  MLIRContext* ctx = &getContext();
  mlir::PassManager pm(ctx);

  AddTFToStablehloPasses(pm);
  if (!RunPassesOnModuleOp(
           /*mlir_dump_file_name=*/"test_tf_to_stablehlo_pass", pm, module_op)
           .ok()) {
    return signalPassFailure();
  }
}

}  // namespace