code: def __getitem__(self, index):
      return {
          "input": self.input_samples[index, :, :],
          "target": self.target_samples[index, :, :],
      }
  
imports: import torch
  from torch import nn
  from torch.optim.optimizer import Optimizer
  from torch.utils.data import DataLoader, Dataset
  from fairscale.experimental.nn.ampnet_pipe.pipe import AMPnetPipe
  from fairscale.fair_dev.testing.testing import get_worker_map, torch_spawn
label_desc: Use image node_id 2 for calling the FakeDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: dict