// Initialize a input_tensor vector with `nullptr` values.
  std::vector<const Tensor*> input_tensors_vector(num_inputs, nullptr);
  // A vector to keep track of newly created `tf::Tensor` objects.
  std::vector<Tensor> all_input_tensors;
  // Update the vector with information from `input_tensors` if provided.
  if (input_tensors != nullptr) {
    // Note that we take the address of the elements in `all_input_tensors`

    TF_VLog(3, "AppendObject: gs://%s/%s to gs://%s/%s", bucket.c_str(),
            temporary_object.c_str(), bucket.c_str(), object.c_str());
    const std::vector<gcs::ComposeSourceObject> source_objects = {
        {object, {}, {}}, {temporary_object, {}, {}}};
    metadata = gcs_client->ComposeObject(bucket, source_objects, object,
                                         gcs::Fields("size"));
    if (!metadata) {

  // TODO(b/73318067): Fix linking for the GPU test generated by the
  // tf_cuda_cc_test() bazel rule and remove the next line.
  if (!GPUDeviceName().empty()) return;

#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    // Load the library.
    TF_Status* status = TF_NewStatus();
    string lib_path = tensorflow::GetDataDependencyFilepath(
        tensorflow::io::JoinPath("tensorflow", "c", "test_op1.so"));

                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());
  const char dev2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0";

  if (inject_error) {
    // Inject a function optimization pass failure when it sees the
    // 'read0_maybe_with_graph_error' op having a requested device `dev2_name`.
    // During execution:

  // Notifies a StartExecute that the previous Join has finished.
  tensorflow::condition_variable finished_join_;

  // Temporary state between `StartExecute` and `Join`.
  //
  //   Inputs; pointers are to objects not owned by the DeviceThread, but which
  //   are expected to live at least until `Join` finishes:
  TFE_Context* context_ TF_GUARDED_BY(execution_mutex_);
  const char* operation_name_ TF_GUARDED_BY(execution_mutex_);