code: def tab_logits(logits, min_id, max_id, filter_value=-float("Inf")):
      logits[:, :min_id] = filter_value
      logits[:, max_id:] = filter_value
      return logits
  
imports: import os
  import pickle
  import re
  from collections.abc import Iterable
  from functools import partial
  from typing import Callable, Tuple
  import numpy
  import torch
  import torch.nn.functional
  from nemo.collections.common.tokenizers.tabular_tokenizer import TabularTokenizer
  from nemo.collections.nlp.modules.common.megatron.utils import get_ltor_masks_and_position_ids
  from nemo.collections.nlp.modules.common.text_generation_strategy import model_inference_strategy_dispatcher
  from nemo.collections.nlp.modules.common.transformer.text_generation import LengthParam, OutputType, SamplingParam
  from nemo.utils import AppState
label_desc: Use image node_id 7 for calling a global function with example usage: tab_logits(logits, min_id, max_id, filter_value) and returns: logits