code: def forward(self, *args: TorchData, **kwargs: Any) -> torch.Tensor:
      assert len(args) == 1
      x = args[0]
      assert isinstance(x, torch.Tensor)
      return x.contiguous().view(x.size(0), -1)
  
file_path: determined/examples/features/torch_batch_process_core_api_comparison/model.py
imports: import os
  from typing import Any, Dict, Optional, Sequence, Union
  import torch
  import torch.nn
  from determined.experimental import client
label_desc: Use image node_id 1 for calling the Flatten obj's underlying member method code with example usage: obj.forward() and returns: x