code: def input_prototype(self):
      return (
          rlt.FeatureData(torch.randn(1, 1, self.state_dim)),
          rlt.FeatureData(torch.randn(1, 1, self.action_dim)),
      )
  
file_path: ReAgent/reagent/models/seq2reward_model.py
imports: from typing import Optional
  import torch
  import torch.nn
  from reagent.core import types
  from reagent.models.base import ModelBase
label_desc: Use image node_id 2 for calling the Seq2RewardNetwork obj's underlying member method code with example usage: obj.input_prototype() and returns: rlt,  rlt