class_docstr: Wrapper for TF modules to support deprecation messages and lazyloading.
code: def __repr__(self):
      return self._tfmw_wrapped_module.__repr__()
  
imports: import importlib
  from tensorflow.python.eager import monitoring
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import fast_module_type
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
  from tensorflow.tools.compatibility import all_renames_v2
label_desc: Use image node_id 9 for calling the TFModuleWrapper obj's underlying member method code with example usage: obj.__repr__() and returns: self