class_docstr: A pool that accepts tasks and forms batches for parallel processing, interacts with Runtime
class_docstr_tok: ["A","pool","that","accepts","tasks","and","forms","batches","for","parallel","processing",",","interacts","with","Runtime"]
code: def load_batch_to_runtime(self) -> Tuple[Any, List[torch.Tensor]]:
      pass
  
imports: import ctypes
  import multiprocessing
  import os
  import threading
  import time
  from abc import ABCMeta, abstractmethod
  from collections import namedtuple
  from concurrent.futures import Future
  from queue import Empty
  from typing import Any, Dict, Generator, List, Tuple
  import torch
  from hivemind.utils import get_logger
  from hivemind.utils.mpfuture import InvalidStateError, MPFuture
label_desc: Use image node_id 4 for calling the TaskPoolBase obj's underlying member method code with example usage: obj.load_batch_to_runtime() without return types