class_docstr: Module mix-in for the parametric function classes.
      
docstr: Get modules.
  
  This function is internally used as the helper method for other methods.
  
  Args: 
      memo (set, optional): Module set in order to memorize to visit.
      prefix (str, optional): Prefix to a specific parameter name.
  
  Yields:
      `Module`: The module class.
code: def get_modules(self, memo=None, prefix=""):
      """Get modules.
  
      This function is internally used as the helper method for other methods.
  
      Args:
          memo (set, optional): Module set in order to memorize to visit.
          prefix (str, optional): Prefix to a specific parameter name.
  
      Yields:
          `Module`: The module class.
      """
      if memo is None:
          memo = set()
  
      if self not in memo:
          memo.add(self)
          yield prefix, self
          for k, v in self.__dict__.items():
              if not isinstance(v, Module):
                  continue
              name, module = k, v
              submodule_prefix = (
                  "{}/{}".format(prefix, name) if prefix != "" else name
              )
              for m in module.get_modules(memo, submodule_prefix):
                  yield m
  
file_path: nnabla/python/src/nnabla/experimental/parametric_function_class/module.py
imports: from collections import OrderedDict
  import nnabla
label_desc: Use image node_id 3 for calling the Module obj's underlying member method code with example usage: obj.get_modules(memo, prefix) without return types