code: def _report(self, training_iterator) -> None:
      for results in training_iterator:
          tune.report(results=results)
  
file_path: ray/python/ray/train/tests/test_gpu_2.py
imports: import numpy
  import pytest
  import torch
  import ray
  import ray.data
  import ray.train
  from ray import tune
  from ray.air.config import ScalingConfig
  from ray.train.examples.pytorch.torch_linear_example import LinearDataset
  from ray.train.torch.torch_trainer import TorchTrainer
label_desc: Use image node_id 1 for calling the TorchTrainerPatchedMultipleReturns obj's underlying member method code with example usage: obj._report(training_iterator) without return types