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  /* From <tensorflow/c/c_api_experimental.h> */
  TF_CAPI_EXPORT extern char* TF_FunctionDebugString(TF_Function* func,
                                                     size_t* len);

=head2 TF_DequeueNamedTensor

=over 2

  Caller must call TF_DeleteTensor() over the returned tensor. If the queue is
  empty, this call is blocked.
  
  Tensors are enqueued via the corresponding TF enqueue op.
  TODO(hongm): Add support for `timeout_ms`.

=back

  /* From <tensorflow/c/c_api_experimental.h> */
  TF_CAPI_EXPORT extern TF_Tensor* TF_DequeueNamedTensor(TF_Session* session,
                                                         int tensor_id,
                                                         TF_Status* status);

=head2 TF_EnqueueNamedTensor

=over 2

  On success, enqueues `tensor` into a TF-managed FifoQueue given by
  `tensor_id`, associated with `session`. There must be a graph node named
  "fifo_queue_enqueue_<tensor_id>", to be executed by this API call. It reads
  from a placeholder node "arg_tensor_enqueue_<tensor_id>".
  
  `tensor` is still owned by the caller. This call will be blocked if the queue
  has reached its capacity, and will be unblocked when the queued tensors again
  drop below the capacity due to dequeuing.
  
  Tensors are dequeued via the corresponding TF dequeue op.
  TODO(hongm): Add support for `timeout_ms`.

=back

  /* From <tensorflow/c/c_api_experimental.h> */
  TF_CAPI_EXPORT extern void TF_EnqueueNamedTensor(TF_Session* session,
                                                   int tensor_id,