code: def evaluate_batch(
      self,
      dataloader_iter: Optional[Iterator[pytorch.TorchData]],
      batch_idx: int,
  ) -> Any:
      return (0, 0)
  
imports: from typing import Any, Dict, Iterator, Optional, Tuple, Union
  import attrdict
  import deepspeed
  import deepspeed.runtime.dataloader
  import numpy
  import torch
  import determined.pytorch.deepspeed
  import tests.experiment.fixtures.pytorch_counter_callback
  from determined import pytorch
label_desc: Use image node_id 1 for calling the InvalidValidMetricTrial obj's underlying member method code with example usage: obj.evaluate_batch(dataloader_iter, batch_idx) and returns: int,  int