code: def __getitem__(self, idx) -> Tuple[torch.Tensor, torch.Tensor]:
      x = np.random.uniform() * 10
      noise = np.random.normal()
      val = self.a * x + self.b + noise
      return torch.tensor([x], dtype=torch.float32), torch.tensor(
          [val], dtype=torch.float32
      )
  
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 3 for calling the LinearDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: torch,  torch