docstr: clip the max len based on the LM model max sequence length
code: def clip_max_len(self, maxlen: int) -> int:
      """clip the max len based on the LM model max sequence length"""
  
      # for positional embedding types that allow length extrapolation, don't clip the max length
      if (
          self.model.cfg.get(
              "position_embedding_type", "learned_absolute"
          )
          == "learned_absolute"
      ):
          if maxlen > self.model.cfg.encoder_seq_length + 1:
              maxlen = self.model.cfg.encoder_seq_length + 1
      return maxlen
  
imports: import abc
  import copy
  import os
  import re
  import warnings
  from typing import List, Set, Tuple
  import torch
  from transformers import CLIPImageProcessor
  from nemo.collections.nlp.modules.common.lm_utils import pad_batch
  from nemo.collections.nlp.modules.common.megatron.utils import get_ltor_masks_and_position_ids
label_desc: Use image node_id 2 for calling the GPTModelTextGenerationStrategy obj's underlying member method code with example usage: obj.clip_max_len(maxlen) and returns: maxlen