class_docstr: Trainer for MDN-RNN
class_docstr_tok: ["Trainer","for","MDN-RNN"]
code: def configure_optimizers(self):
      optimizers = []
  
      optimizers.append(
          torch.optim.Adam(
              self.memory_network.mdnrnn.parameters(),
              lr=self.params.learning_rate,
          )
      )
  
      return optimizers
  
file_path: ReAgent/reagent/training/world_model/mdnrnn_trainer.py
imports: import logging
  from typing import Optional
  import reagent.core.types
  import torch
  import torch.nn.functional
  from reagent.core.parameters import MDNRNNTrainerParameters
  from reagent.models.mdn_rnn import gmm_loss
  from reagent.models.world_model import MemoryNetwork
  from reagent.training.reagent_lightning_module import ReAgentLightningModule
label_desc: Use image node_id 2 for calling the MDNRNNTrainer obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizers