M[obj] = &graphNode{obj: obj}
		}
	}

	// compute edges for graph M
	// (We need to include all nodes, even isolated ones, because they still need
	// to be scheduled for initialization in correct order relative to other nodes.)
	for obj, n := range M {
		// for each dependency obj -> d (= deps[i]), create graph edges n->s and s->n
		for d := range objMap[obj].deps {

  // Sorts the retvals by name so the order is deterministic.
  std::sort(retvals.begin(), retvals.end(),
            [](Node* a, Node* b) { return a->name() < b->name(); });

  // Computes the permutation to produce the correct argument order, and update
  // the argument indices.
  int variable_start_index = num_args;
  for (int i = 0; i < num_args; ++i) {
    int index;
    TF_RETURN_IF_ERROR(GetIndexAttr(*args[i], num_args, &index));

	}
	if extraPaths := secretPaths.Difference(expectedSecretPaths); len(extraPaths) > 0 {
		t.Logf("Extra secret paths:\n%s", strings.Join(sets.List[string](extraPaths), "\n"))
		t.Error("Extra fields with 'secret' in the name found. Verify VisitPVSecretNames() is including these fields if appropriate, then correct expectedSecretPaths")
	}

	// For example: `spec.imagePullSecrets[0].name: invalid empty name ""`
	//
	// Use warning messages to describe problems the client making the API request should correct or be aware of.
	// For example:
	// - use of deprecated fields/labels/annotations that will stop working in a future release
	// - use of obsolete fields/labels/annotations that are non-functional

)

tf_cc_test(
    name = "tf_mlir_translate_registration_test",
    size = "small",
    srcs = ["tf_mlir_translate_registration_test.cc"],
    deps = [
        ":translate_registration",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:TranslateLib",
    ],
)

cc_library(

    return v;
  }
  /// Destroys TaggedValue. Shared pointers in unions must be explicitly
  /// deleted.
  void destroy() {
    if (type_ != NONE) {
      // Explicitly run the destructor on the correct type.
      visit<void>([](auto& x) {
        using T = typename std::decay<decltype(x)>::type;
        x.~T();
      });
      // Make the type None, whenever we destroy so we always have an

		//    if sp < g.limit { goto sched }
		//    goto join
		// sched:
		//    mem1 := call resched (mem0)
		//    goto join
		// join:
		//    mem2 := phi(mem0, mem1)
		//    goto h
		//
		// and correct arg i of headerMemPhi and headerCtrPhi
		//
		// EXCEPT: join block containing only phi functions is bad
		// for the register allocator.  Therefore, there is no
		// join, and branches targeting join must instead target

        "//tensorflow/c/experimental/saved_model/public:signature_def_param_list",
        "//tensorflow/c/experimental/saved_model/public:tensor_spec",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],

				pop := dirStack[len(dirStack)-1]
				select {
				case <-ctx.Done():
					return ctx.Err()
				case out <- metaCacheEntry{name: pop}:
				}
				if opts.Recursive {
					// Scan folder we found. Should be in correct sort order where we are.
					err := scanDir(pop)
					if err != nil && !IsErrIgnored(err, context.Canceled) {
						internalLogIf(ctx, err)
					}
				}
				dirStack = dirStack[:len(dirStack)-1]
			}

    must provide correct control dependencies between regions to guarantee
    correctness. Regions in ParallelExecute may include Resource ops.

    In the case where different regions include ops access the same resource,
    the users of the ParallelExecute op must provide mechanism (via send/recvs
    or via control dependencies) to guarantee correct ordering. Sequential