code: def _check_for_empty_tensors(preds: Tensor, target: Tensor) -> bool:
      if preds.numel() == target.numel() == 0:
          return True
      return False
  
imports: import logging
  import multiprocessing
  import os
  from functools import partial
  from time import perf_counter
  from typing import Any, Callable, Dict, Mapping, Optional, Sequence, Tuple, no_type_check
  from unittest.mock import Mock
  import torch
  from torch import Tensor
  from torchmetrics.metric import Metric
  from torchmetrics.utilities.data import select_topk, to_onehot
  from torchmetrics.utilities.enums import DataType
label_desc: Use image node_id 1 for calling a global function with example usage: _check_for_empty_tensors(preds, target) and returns: False, True