Status status;
  NodeDef def;
  def.set_op("Bitcast");
  def.set_device(DEVICE_CPU);

  AttrValue typeAttr;
  SetAttrValue(input_tensor->dtype(), &typeAttr);

  AttrValue outTypeAttr;
  SetAttrValue(out_type, &outTypeAttr);

  (*def.mutable_attr())["T"] = typeAttr;
  (*def.mutable_attr())["type"] = outTypeAttr;

  def.add_input(

          << i;
    }
    TF_DeleteStatus(status);
    return static_cast<void*>(s);
  };

  AttrValue v;
  std::string attr_in[] = {"bugs", "bunny", "duck"};
  SetAttrValue(gtl::ArraySlice<std::string>(attr_in, 3), &v);
  CreateAndCallKernelWithAttr(my_create_func, "TestKernelAttrStringList", v);
}

TEST_F(TestKernelAttr, Tensor) {
  struct TensorProtoHelpers {
   public:

  // Initialize node used to fetch OpKernel
  Status status;
  NodeDef def;
  def.set_op("ScalarSummary");

  def.set_device(DEVICE_CPU);

  AttrValue valuesTypeAttr;
  SetAttrValue(values->dtype(), &valuesTypeAttr);
  (*def.mutable_attr())["T"] = valuesTypeAttr;

  def.add_input(strings::StrCat("input1: ", DataTypeString(tags->dtype())));

// Annotate eager runtime construction context to the given `function_def` as
// an attribute.
void AnnotateEagerRuntimeConstructionContext(
    tensorflow::FunctionDef& function_def) {
  tensorflow::AttrValue value;
  SetAttrValue("kEagerRuntime", &value);
  (*function_def.mutable_attr())["_construction_context"] = value;
}

}  // namespace

extern "C" {

TFE_ContextOptions* TFE_NewContextOptions() { return new TFE_ContextOptions; }