code: def register_conv_template(
      template: Conversation, override: bool = False
  ):
      """Register a new conversation template."""
      if not override:
          assert (
              template.name not in conv_templates
          ), f"{template.name} has been registered."
  
      conv_templates[template.name] = template
  
imports: import dataclasses
  from enum import auto, IntEnum
  from typing import List, Any, Dict
  import math
  from typing import List, Optional, Tuple, Union
  import random
  import numpy
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
  from transformers.activations import ACT2FN
  from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast, SequenceClassifierOutputWithPast
  from transformers.modeling_utils import PreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from transformers import LogitsProcessorList, MinLengthLogitsProcessor, TopKLogitsWarper, TemperatureLogitsWarper, TopPLogitsWarper, StoppingCriteriaList, MaxLengthCriteria, BitsAndBytesConfig
label_desc: Use image node_id 1 for calling a global function with example usage: register_conv_template(template, override) without return types