code: def multiple_assign(
      module: tf.Module, parameters: Mapping[Path, tf.Tensor]
  ) -> None:
      """
      Multiple assign takes a dictionary with new values. Dictionary keys are paths to the
      `tf.Variable`s or `gpflow.Parameter` of the input module.
  
      :param module: `tf.Module`.
      :param parameters: a dictionary with keys of the form ".module.path.to.variable" and new value tensors.
      """
      reference_var_dict = parameter_dict(module)
      for path, value in parameters.items():
          reference_var_dict[path].assign(value)
  
imports: import copy
  import re
  from functools import lru_cache
  from typing import Any, Callable, Dict, Mapping, Optional, Pattern, Tuple, Type, TypeVar, Union
  import numpy
  import tensorflow
  import tensorflow_probability
  from packaging.version import Version
  from tabulate import tabulate
  from tensorflow.python.util.object_identity import Reference
  from ..base import AnyNDArray, Parameter
  from ..config import default_summary_fmt
label_desc: Use image node_id 1 for calling a global function with example usage: multiple_assign(module, parameters) without return types