a = ConjugateHelper(scope, a);
    b = ConjugateHelper(scope, b);
  }
  auto product = op.output(0);

  bool ta;
  bool tb;
  TF_RETURN_IF_ERROR(GetNodeAttr(product.node()->attrs(), attr_adj_x, &ta));
  TF_RETURN_IF_ERROR(GetNodeAttr(product.node()->attrs(), attr_adj_y, &tb));

  if (!ta && !tb) {
    return MatMulGradHelper(scope, is_batch, grad_inputs[0], false, b, true,

static Status GetArgTypes(const Graph& graph, DataTypeVector* types) {
  for (Node* n : graph.op_nodes()) {
    if (n->type_string() == kArgOp) {
      int index;
      TF_RETURN_IF_ERROR(GetNodeAttr(n->attrs(), "index", &index));
      const int num_types = types->size();
      if (index < 0 || index >= num_types) {
        return errors::InvalidArgument("Invalid argument number");
      }

    TF_RET_CHECK(!must_be_true || is_boolean_tensor);

    if (node->type_string() == "Const" && must_be_true) {
      const TensorProto* proto = nullptr;
      TF_RETURN_IF_ERROR(GetNodeAttr(node->def(), "value", &proto));

      Tensor tensor(proto->dtype());
      TF_RET_CHECK(tensor.FromProto(*proto));

      *predicate = tensor.scalar<bool>()() ? MakeTrue() : MakeFalse();

    Node* node) {
  if (debug_options_.ignore_xla_compile_attr) {
    return false;
  }

  // If there is a _XlaCompile annotation, use its value.
  bool compile = false;
  Status status = GetNodeAttr(node->attrs(), kXlaCompileAttr, &compile);
  if (status.ok()) {
    if (!compile) {
      VLOG(2) << "Rejecting " << node->name() << ": kXlaCompileAttr("
              << kXlaCompileAttr << ") is false.";
    }