code: def argmax_select_next_token(
      self, logits, next_token_scores, hidden_states
  ):
      # next_token_logits = logits[:, -1, :]
      # top_k_indices = torch.topk(next_token_logits, k=1, dim=-1).indices[0]
      return torch.argmax(next_token_scores, dim=-1, keepdim=True)
  
imports: import torch
  import json, os, msgpack
  from transformers.utils import logging
  import types
  import inspect
  import copy
  from typing import Optional, List, Callable
  from drugs.inject_mixin import InjectDrugsMixin, MODEL_NAME_MAPPING
  from transformers import GenerationMixin
  from transformers.cache_utils import DynamicCache
  from transformers.generation.utils import LogitsProcessorList, StoppingCriteriaList
  from transformers import AutoTokenizer, TextStreamer, GenerationConfig
  import numpy
  import torch
  import torch.nn.functional
  import hashlib
label_desc: Use image node_id 4 for calling the DRUGS obj's underlying member method code with example usage: obj.argmax_select_next_token(logits, next_token_scores, hidden_states) and returns: torch