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      std::move(maybe_parallel_results.value()));
  std::vector<MaybeParallelTensorOwned> result_content;
  result_content.reserve(parallel_results.size());
  for (std::unique_ptr<ParallelTensor>& parallel_result : parallel_results) {
    result_content.push_back(
        MaybeParallelTensorOwned(std::move(parallel_result)));
  }
  result.emplace(std::move(result_content));
  return result;
}

        }
    }

    protected HtmlResponse doMove(final SearchForm form, final int move) {
        int start = fessConfig.getPagingSearchPageStartAsInteger();
        if (form.pn != null) {
            int pageNumber = form.pn;
            if (pageNumber > 0) {
                pageNumber = pageNumber + move;
                if (pageNumber < 1) {
                    pageNumber = 1;
                }

  std::vector<TensorHandlePtr> vector_handles;
  vector_handles.reserve(2);
  vector_handles.push_back(std::move(two_vector));
  vector_handles.push_back(std::move(three_vector));
  std::unique_ptr<ParallelTensor> unknown_length_vector =
      ParallelTensor::FromTensorHandles(
          parallel_device, std::move(vector_handles), status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    for (int j = 0; j < underlying_devices_.size(); ++j) {
      components.push_back(std::move(per_device_output_tensors[j][i]));
    }
    if (expected_output_shapes[i].IsFullyDefined()) {
      per_device_outputs.push_back(ParallelTensor::FromTensorHandles(
          *this, std::move(components),
          absl::Span<const int64_t>(expected_output_shapes[i].dim_sizes()),
          status));
    } else {

    }
}


private
fun IntegrationTest.addDebugProperties() {
    // TODO Move magic property out
    if (project.hasProperty("org.gradle.integtest.debug")) {
        systemProperties["org.gradle.integtest.debug"] = "true"
        testLogging.showStandardStreams = true
    }
    // TODO Move magic property out
    if (project.hasProperty("org.gradle.integtest.verbose")) {

      info->ops[index].scheme,
      std::make_unique<tensorflow::ModularFileSystem>(
          std::move(filesystem), std::move(core_filesystem_ops),
          std::move(core_random_access_file_ops),
          std::move(core_writable_file_ops),
          std::move(core_read_only_memory_region_ops),
          info->plugin_memory_allocate, info->plugin_memory_free));
}

      : device_(device),
        tensors_(std::move(tensors)),
        shape_(std::vector<int64_t>(shape.begin(), shape.end())),
        dtype_(dtype) {}
  ParallelTensor(const ParallelDevice& device,
                 std::vector<TensorHandlePtr> tensors, const TF_DataType dtype)
      : device_(device),
        tensors_(std::move(tensors)),
        shape_(absl::nullopt),
        dtype_(dtype) {}

          {std::move(bucket), std::move(object), &gcs_file->gcs_client,
           TempFile(temp_file_name, std::ios::binary | std::ios::trunc), false,
           static_cast<int64_t>(metadata->size())});
    } else if (TF_GetCode(status) == TF_NOT_FOUND) {
      file->plugin_file = new tf_writable_file::GCSFile(
          {std::move(bucket), std::move(object), &gcs_file->gcs_client,

    stack_traces[n->name()] = n->GetStackTrace();
  }

  TF_Function* tf_function = new TF_Function();
  tf_function->record = new tensorflow::FunctionRecord(
      std::move(fdef), std::move(stack_traces), false);

  return tf_function;
}

TF_Function* TF_GraphToFunction(const TF_Graph* fn_body, const char* fn_name,
                                unsigned char append_hash_to_fn_name,