class_docstr: Trainer for Seq2Reward
class_docstr_tok: ["Trainer","for","Seq2Reward"]
code: def warm_start_components(self):
      components = ["seq2reward_network"]
      return components
  
imports: import logging
  import reagent.core.types
  import torch
  import torch.nn
  import torch.nn.functional
  from reagent.core.parameters import Seq2RewardTrainerParameters
  from reagent.models.fully_connected_network import FullyConnectedNetwork
  from reagent.models.seq2reward_model import Seq2RewardNetwork
  from reagent.training.reagent_lightning_module import ReAgentLightningModule
  from reagent.training.utils import gen_permutations
label_desc: Use image node_id 7 for calling the Seq2RewardTrainer obj's underlying member method code with example usage: obj.warm_start_components() and returns: components