code: def dummy_inputs(self):
      pad_token = self.config.pad_token_id
      input_ids = torch.tensor(
          [[0, 6, 10, 4, 2], [0, 8, 12, 2, pad_token]],
          device=self.device,
      )
      dummy_inputs = {
          "attention_mask": input_ids.ne(pad_token),
          "input_ids": input_ids,
      }
      return dummy_inputs
  
imports: import inspect
  import warnings
  from typing import Optional, Tuple, Dict, Any
  import os
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers.utils import ModelOutput
  from transformers.modeling_utils import PreTrainedModel
  from transformers.configuration_utils import PretrainedConfig
  from torch.nn import CrossEntropyLoss
  from .abstract_model import AbstractModel
label_desc: Use image node_id 3 for calling the RNNPretrainedModel obj's underlying member method code with example usage: obj.dummy_inputs() and returns: dummy_inputs