code: def get_normalized_probs(self, net_output, log_probs, sample=None):
      return self.decoder.get_normalized_probs(
          net_output, log_probs, sample
      )
  
file_path: pytext/pytext/models/seq_models/rnn_encoder_decoder.py
imports: from typing import Dict, List, Optional
  import torch.jit
  from pytext.config import ConfigBase
  from pytext.models.module import create_module
  from pytext.utils.usage import log_class_usage
  from .base import PyTextSeq2SeqModule
  from .rnn_decoder import RNNDecoder
  from .rnn_encoder import LSTMSequenceEncoder
label_desc: Use image node_id 4 for calling the RNNModel obj's underlying member method code with example usage: obj.get_normalized_probs(net_output, log_probs, sample) and returns: self