code: def forward(self, state_float_features: torch.Tensor):
      return self.model(
          rlt.FeatureData(float_features=state_float_features),
      )
  
file_path: ReAgent/reagent/test/models/test_dqn.py
imports: import logging
  import unittest
  import torch
  import torch.nn
  from reagent.core import types
  from reagent.models.dqn import FullyConnectedDQN
  from reagent.test.models.test_utils import run_model_jit_trace
label_desc: Use image node_id 2 for calling the FullyConnectedDQNTorchScriptWrapper obj's underlying member method code with example usage: obj.forward(state_float_features) and returns: self