for idx := 0; idx < nFuncs; idx++ {
		b.wrUint32(w, uint32(foff))
		foff += int64(len(b.funcs[idx].encoded))
	}
	return off + (int64(len(b.funcs)) * 4)
}

func (b *CoverageMetaDataBuilder) emitFunc(w io.WriteSeeker, off int64, f funcDesc) (int64, error) {
	ew := len(f.encoded)
	if nw, err := w.Write(f.encoded); err != nil {
		return 0, err
	} else if ew != nw {

    ],
)

tf_cc_test(
    name = "lower_cluster_to_runtime_ops_test",
    srcs = ["lower_cluster_to_runtime_ops_test.cc"],
    data = [
        "testdata/basic_cluster.mlir",
        "testdata/empty_func.mlir",
        "testdata/malformed_cluster.mlir",
    ],
    deps = [
        ":lower_cluster_to_runtime_ops",
        "//tensorflow/compiler/mlir:register_common_dialects",

  OwningOpRef<mlir::ModuleOp> mlir_module_;

  Env* env_;
  std::string test_dir_;
  std::string test_group_name_;
};

TEST_F(LowerClusterToRuntimeOpsTest, SanityCheck) {
  TF_ASSERT_OK(CreateMlirModule("empty_func.mlir"));

  TF_EXPECT_OK(RunLowerClusterToRuntimeOpsPassPipeline(
      *mlir_module_, DeviceType(DEVICE_TPU_XLA_JIT)));
}

TEST_F(LowerClusterToRuntimeOpsTest, LowersClusterOpsTPU) {

func.func @check_sharding_attrs_exists_for_empty_cluster_func() {
  "tf_device.cluster_func"() {func = @empty_func, step_marker_location = "", num_cores_per_replica = 1 : i64} : () -> ()
  // CHECK: input_sharding_configuration = []
  // CHECK: output_sharding_configuration = []
  func.return
}

// CHECK-LABEL: func @empty_func() {
func.func @empty_func() {
  func.return
}

// -----