code: def finalize(self, tokens: Tensor, sum_logprobs: Tensor):
      # make sure each sequence has at least one EOT token at the end
      tokens = F.pad(tokens, (0, 1), value=self.eot)
      return tokens, sum_logprobs.tolist()
  
imports: from dataclasses import dataclass, field, replace
  from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.distributions import Categorical
  from .audio import CHUNK_LENGTH
  from .tokenizer import Tokenizer, get_tokenizer
  from .utils import compression_ratio
label_desc: Use image node_id 3 for calling the GreedyDecoder obj's underlying member method code with example usage: obj.finalize(tokens, sum_logprobs) and returns: tokens,  sum_logprobs