class_docstr: Modifies the LinearDataset to also return non-tensor objects.
code: def __getitem__(self, index):
      return {"x": self.x[index, None], "y": 2}
  
imports: import json
  import os
  import time
  from pathlib import Path
  from typing import Dict, List, Union
  from unittest.mock import patch
  import pytest
  import torch
  import torchvision
  from torch.nn.parallel import DistributedDataParallel
  from torch.utils.data import DataLoader, DistributedSampler
  import ray
  import ray.data
  from ray import train
  from ray.exceptions import RayTaskError
  from ray.train import ScalingConfig
  from ray.train._internal.worker_group import WorkerGroup
  from ray.train.constants import DEFAULT_NCCL_SOCKET_IFNAME
  from ray.train.examples.pytorch.torch_linear_example import LinearDataset
  from ray.train.torch.config import TorchConfig, _TorchBackend
  from ray.train.torch.torch_trainer import TorchTrainer
  from ray.train.trainer import TrainingFailedError
label_desc: Use image node_id 1 for calling the NonTensorDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: dict