auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape));
  auto indices = Cast(scope_, Const(scope_, {{1}, {0}}), DT_INT64);
  auto y = GatherNd(scope_, x, indices);
  RunTest(x, shape, y, shape);
}

TEST_F(ArrayGradTest, CheckNumericsGrad) {
  TensorShape shape({5, 2});
  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape));
  auto y = CheckNumerics(scope_, x, "CheckNumerics failed");

        break;
      case EXPM1:
        y = Expm1(scope_, x);
        break;
      case LOG:
        y = Log(scope_, x);
        break;
      case LOG1P:
        y = Log1p(scope_, x);
        break;
      case SINH:
        y = Sinh(scope_, x);
        break;
      case COSH:
        y = Cosh(scope_, x);
        break;
      case TANH:
        y = Tanh(scope_, x);

                    ? StopGradient(scope_, (Identity(scope_, z))).output
                    : Identity(scope_, z).output;
    auto out1 = stop_outputs[1]
                    ? StopGradient(scope_, (Identity(scope_, z))).output
                    : Identity(scope_, z).output;
    auto out2 = stop_outputs[2]
                    ? StopGradient(scope_, (Identity(scope_, z))).output

namespace tensorflow {

namespace {

class WhileLoopTest : public ::testing::Test {
 protected:
  WhileLoopTest() : scope_(Scope::NewRootScope()) {}

  void Init(int num_inputs, DataType dtype = DT_INT32) {
    for (int i = 0; i < num_inputs; ++i) {
      inputs_.push_back(ops::Placeholder(scope_, dtype));
    }
  }

  void CreateLoop(const ops::CondGraphBuilderFn& cond,
                  const ops::BodyGraphBuilderFn& body,

};

SymbolicGradientBuilder::SymbolicGradientBuilder(
    const Scope& scope, const ops::GradOpRegistry* registry,
    const std::vector<Output>& outputs, const std::vector<Output>& inputs,
    const std::vector<Output>& grad_inputs, std::vector<Output>* grad_outputs)
    : scope_(scope),
      registry_(registry),
      outputs_(outputs),
      inputs_(inputs),
      grad_inputs_(grad_inputs),

        scope_.graph()->AddControlEdge(e->src(), new_const.node());
      }
    }
    return it->second;
  }

 private:
  Scope scope_;
  std::unordered_map<int, Output> cache_;
  std::vector<const Edge*> control_deps_;
};

// Returns a node computing the size of the Slice op with inputs `slice_inputs`.
Status ComputeSliceSize(const Scope& host_scope,

// and looked up by name. The zero value for Scope is a ready-to-use
// empty scope.
type Scope struct {
	parent   *Scope
	children []*Scope
	number   int               // parent.children[number-1] is this scope; 0 if there is no parent
	elems    map[string]Object // lazily allocated
	pos, end token.Pos         // scope extent; may be invalid
	comment  string            // for debugging only

func NewScope(parent *Scope, pos, end syntax.Pos, comment string) *Scope {
	s := &Scope{parent, nil, 0, nil, pos, end, comment, false}
	// don't add children to Universe scope!
	if parent != nil && parent != Universe {
		parent.children = append(parent.children, s)
		s.number = len(parent.children)
	}
	return s
}

// Parent returns the scope's containing (parent) scope.
func (s *Scope) Parent() *Scope { return s.parent }

			s.nameToEmit = name
		}

		scopes[name] = s
	}

	s.labels = make(map[string]any)

	return s
}

// FindScope returns a previously registered scope, or nil if the named scope wasn't previously registered
func FindScope(scope string) *Scope {
	lock.RLock()
	defer lock.RUnlock()

	s := scopes[scope]
	return s
}

// Scopes returns a snapshot of the currently defined set of scopes

  // scopes, or scopes derived from an existing scope object.

  /// Return a new scope.
  /// This creates a new graph and all operations constructed in this graph
  /// should use the returned object as the "root" scope.
  static Scope NewRootScope();

  /// Return a new scope. Ops created with this scope will have