code: def _rnn_cell_args(self, n, num_chunks, is_lstm, dev, dtype):
      input = (torch.randn((n, n), device=dev, dtype=torch.float32),)
  
      hx = (
          (
              torch.randn((n, n), device=dev, dtype=torch.float32),
              torch.randn((n, n), device=dev, dtype=torch.float32),
          )
          if is_lstm
          else torch.randn((n, n), device=dev, dtype=torch.float32),
      )
  
      weights = (
          torch.randn(
              (num_chunks * n, n), device=dev, dtype=torch.float32
          ),  # weight_ih
          torch.randn(
              (num_chunks * n, n), device=dev, dtype=torch.float32
          ),  # weight_hh
          torch.randn(
              (num_chunks * n), device=dev, dtype=torch.float32
          ),  # bias_ih
          torch.randn(
              (num_chunks * n), device=dev, dtype=torch.float32
          ),
      )  # bias_hh
  
      # returns args as a tuple
      return input + hx + weights
  
imports: import torch
  from torch.testing._internal.common_utils import TEST_WITH_ROCM
label_desc: Use image node_id 1 for calling the AutocastTestLists obj's underlying member method code with example usage: obj._rnn_cell_args(n, num_chunks, is_lstm, dev, dtype) and returns: unknown