code: def init_od_aegmm(
      state_dict: Dict, aegmm: tf.keras.Model
  ) -> OutlierAEGMM:
      """
      Initialize OutlierAEGMM.
  
      Parameters
      ----------
      state_dict
          Dictionary containing the parameter values.
      aegmm
          Loaded AEGMM.
  
      Returns
      -------
      Initialized OutlierAEGMM instance.
      """
      od = OutlierAEGMM(threshold=state_dict["threshold"], aegmm=aegmm)
      od.phi = state_dict["phi"]
      od.mu = state_dict["mu"]
      od.cov = state_dict["cov"]
      od.L = state_dict["L"]
      od.log_det_cov = state_dict["log_det_cov"]
  
      if not all(
          tf.is_tensor(_)
          for _ in [od.phi, od.mu, od.cov, od.L, od.log_det_cov]
      ):
          logger.warning("Loaded AEGMM detector has not been fit.")
  
      return od
  
imports: import logging
  import os
  from importlib import import_module
  import warnings
  from functools import partial
  from pathlib import Path
  from typing import Callable, Dict, List, Optional, Tuple, Union, Type
  import dill
  import tensorflow
  from tensorflow_probability.python.distributions.distribution import Distribution
  from transformers import AutoTokenizer
  from alibi_detect.ad import AdversarialAE, ModelDistillation
  from alibi_detect.ad.adversarialae import DenseHidden
  from alibi_detect.cd import ChiSquareDrift, ClassifierDrift, KSDrift, MMDDrift, TabularDrift
  from alibi_detect.cd.tensorflow import UAE, HiddenOutput
  from alibi_detect.cd.tensorflow.preprocess import _Encoder
  from alibi_detect.models.tensorflow import PixelCNN, TransformerEmbedding
  from alibi_detect.models.tensorflow.autoencoder import AE, AEGMM, VAE, VAEGMM, DecoderLSTM, EncoderLSTM, Seq2Seq
  from alibi_detect.od import LLR, IForest, Mahalanobis, OutlierAE, OutlierAEGMM, OutlierProphet, OutlierSeq2Seq, OutlierVAE, OutlierVAEGMM, SpectralResidual
  from alibi_detect.od.llr import build_model
  from alibi_detect.utils.tensorflow.kernels import DeepKernel
  from alibi_detect.utils.frameworks import Framework
  from alibi_detect.version import __version__
  from alibi_detect.base import Detector
  from alibi_detect.saving._typing import VALID_DETECTORS
label_desc: Use image node_id 18 for calling a global function with example usage: init_od_aegmm(state_dict, aegmm) and returns: od