code: def register_hidden_transform(cls_name: str, class_path: str):
      """
      Register a hidden transform.
  
      Args:
          cls_name: name of the class
          class_path: path to the class (e.g., "nemo.collections.nlp.modules.common.megatron.hiddens.megatron_hidden_transform.MegatronGaussianHiddenTransform")
      """
      if cls_name in _TRANSFORM_CLASS_REGISTRY:
          raise ValueError(
              f"Cannot register duplicate hidden transform ({cls_name})"
          )
      _TRANSFORM_CLASS_REGISTRY[cls_name] = class_path
      logging.info(
          f"Registered hidden transform {cls_name} at {class_path}"
      )
  
imports: import functools
  import itertools
  from typing import List
  import torch
  from omegaconf.dictconfig import DictConfig
  from omegaconf.omegaconf import OmegaConf
  from nemo.collections.nlp.modules.common.megatron.hiddens.megatron_hidden_loss import MegatronBaseHiddenLoss
  from nemo.collections.nlp.modules.common.megatron.hiddens.megatron_hidden_transform import MegatronBaseHiddenTransform
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults
  from nemo.utils import logging
  from nemo.utils.model_utils import import_class_by_path
label_desc: Use image node_id 3 for calling a global function with example usage: register_hidden_transform(cls_name, class_path) without return types