// their region based counterparts.
std::unique_ptr<OperationPass<ModuleOp>>
CreateTFFunctionalControlFlowToRegions();
std::unique_ptr<OperationPass<ModuleOp>> CreateTFFunctionalControlFlowToRegions(
    bool allow_passthrough_args);

// Transforms region bases control flow operations in the TensorFlow dialect to
// their functional counterparts.
std::unique_ptr<OperationPass<ModuleOp>>
CreateTFRegionControlFlowToFunctional();

// Test pass for analyzing side-effect analysis result.
std::unique_ptr<OperationPass<ModuleOp>> CreateTestSideEffectAnalysisPass();

std::unique_ptr<OperationPass<ModuleOp>> CreateTestResourceAliasAnalysisPass();

std::unique_ptr<OperationPass<ModuleOp>> CreateInitTextFileToImportTestPass();
std::unique_ptr<OperationPass<ModuleOp>>
CreateInitTextFileToImportSavedModelTestPass();

std::unique_ptr<OperationPass<ModuleOp>> CreateOptimizeGlobalTensorsPass();

// Creates a pass that freezes tf_saved_model.global_tensor ops.
std::unique_ptr<OperationPass<ModuleOp>> CreateFreezeGlobalTensorsPass(
    bool allow_mutable_tensors = false);

// Creates a pass that freezes tf_saved_model.asset ops.
std::unique_ptr<OperationPass<ModuleOp>> CreateFreezeAssetsPass(
    std::string saved_model_dir = "");

      return %0 : tensor<1x3xf32>
    }
  }
)mlir";

TEST_F(AttrsAndConstraintsTest, HasStaticShapeSucceedsWithStaticShapes) {
  OwningOpRef<ModuleOp> module_op = ParseModuleOpString(kModuleStatic);
  ASSERT_TRUE(module_op);

  func::FuncOp main_fn = FindMainFuncOp(*module_op);
  ASSERT_THAT(main_fn, NotNull());

  Value dot_general_result =

// types are set to "NOT_CARE" for better clustering.
std::unique_ptr<OperationPass<ModuleOp>> CreateRaiseTargetSubgraphsPass(
    bool skip_raise_cpu_ops = false, bool ignore_inference_type = false);

// Create an instance of the AlternativeSubgraphPass.
std::unique_ptr<OperationPass<ModuleOp>> CreateAlternativeSubgraphPass(
    llvm::ArrayRef<std::string> device_specs);

// Create an instance of ComputeCostPass.

  mlir::MLIRContext context;
  mlir::OwningOpRef<mlir::ModuleOp> module_ref =
      mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));

  AddDevicesToOp(*module_ref, /*device_set=*/nullptr);
  EXPECT_EQ((*module_ref)->getAttr("tf.devices"), nullptr);
}

TEST(DeviceUtilTest, GetDevicesFromOpNoDevicesAttribute) {
  mlir::MLIRContext context;
  mlir::OwningOpRef<mlir::ModuleOp> module_ref =

absl::StatusOr<ExportedModel> ExportDebuggingModel(
    mlir::ModuleOp module_op, mlir::MLIRContext *context,
    const QuantizationOptions &quantization_options,
    const absl::flat_hash_map<std::string, std::string> &function_aliases) {
  // Clone ModuleOp and function aliases so changes in this pipeline won't
  // be reflected in the original values.
  mlir::OwningOpRef<mlir::ModuleOp> cloned_module_ref(module_op.clone());

                     tf_saved_model::TensorFlowSavedModelDialect>();
  }

  // Parses `module_op_str` to create a `ModuleOp`. Checks whether the created
  // module op is valid.
  OwningOpRef<ModuleOp> ParseModuleOpString(
      const absl::string_view module_op_str) {
    auto module_op_ref = parseSourceString<ModuleOp>(module_op_str, &ctx_);
    EXPECT_TRUE(module_op_ref);
    return module_op_ref;
  }

  mlir::MLIRContext ctx_{};

void MoveFunctions(SymbolTableCollection &symbol_tables, ModuleOp from,
                   ModuleOp to) {
  SymbolTable &to_symbol_table = symbol_tables.getSymbolTable(to);
  for (auto func : llvm::make_early_inc_range(from.getOps<func::FuncOp>())) {
    func->remove();
    func.setPrivate();
    to_symbol_table.insert(func);
  }
}

void CopyStablehloModuleAttrs(ModuleOp stablehlo_module, XlaCallModuleOp op) {

  func.return %arg0 : tensor<i32>
}
)mlir";
  mlir::MLIRContext context;
  context.loadDialect<mlir::func::FuncDialect, mlir::TF::TensorFlowDialect>();
  mlir::OwningOpRef<mlir::ModuleOp> module =
      mlir::parseSourceString<mlir::ModuleOp>(code, &context);
  ASSERT_TRUE(module);
  auto entry_funcs = GetEntryFunctions(*module);
  EXPECT_EQ(entry_funcs.size(), 2);
  EXPECT_EQ(entry_funcs[0].getSymName(), "entry_func_1");