class_docstr: Reimplementation of TF's LazyLoader.
class_docstr_tok: ["Reimplementation","of","TF","'s","LazyLoader","."]
docstr: Load the module and insert it into the parent's globals.
docstr_tok: ["Load","the","module","and","insert","it","into","the","parent","'s","globals","."]
code: def _load(self):
      """Load the module and insert it into the parent's globals."""
      # Import the target module and insert it into the parent's namespace
      module = importlib.import_module(self.__name__)
      self._parent_module_globals[self._local_name] = module
  
      # Emit a warning if one was specified
      if self._warning:
          logging.warning(self._warning)
          # Make sure to only warn once.
          self._warning = None
  
      # Update this object's dict so that if someone keeps a reference to the
      #   LazyLoader, lookups are efficient (__getattr__ is only called on lookups
      #   that fail).
      self.__dict__.update(module.__dict__)
  
      return module
  
file_path: probability/tensorflow_probability/python/internal/backend/numpy/private.py
imports: import contextlib
  import importlib
  import logging
  import types
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
label_desc: Use image node_id 2 for calling the LazyLoader obj's underlying member method code with example usage: obj._load() and returns: module