std::vector<tensorflow::Output> x_arg = OutputsFromTFOutputs(x, nx);
  std::vector<tensorflow::Output> dy_arg;

  {
    // We need to hold on to the lock while we have a scope that uses TF_Graph.
    mutex_lock graph_lock(g->mu);

    const int first_new_node_id = g->graph.num_node_ids();

    string prefix_cmp;
    const char* child_scope_name;
    if (prefix == nullptr) {

  }

 private:
  TFE_Context* context_;
  TFE_CustomDevice device_;
  void* info_;
  string name_;
};

// An adapter which wraps the shape/data produced by C custom devices and uses
// it to implement custom device methods.
class CAPICustomDeviceTensorHandle
    : public tensorflow::CustomDeviceTensorHandle {
 public:
  CAPICustomDeviceTensorHandle(tensorflow::ImmediateExecutionContext* context,