class_docstr: An initializer is really just a bare pytorch function. This class
  is a proxy that allows us to implement ``Registerable`` for those functions.
docstr: This function is here just to make mypy happy.  We expect initialization functions to
  follow this API; the builtin pytorch initialization functions follow this just fine, even
  though they don't subclass ``Initialization``.  We're just making it explicit here, so mypy
  knows that initializers are callable like this.
docstr_tok: ["This","function","is","here","just","to","make","mypy","happy",".","We","expect","initialization","functions","to","follow","this","API",";","the","builtin","pytorch","initialization","functions","follow","this","just","fine",",","even","though","they","do","n't","subclass","``","Initialization","``",".","We","'re","just","making","it","explicit","here",",","so","mypy","knows","that","initializers","are","callable","like","this","."]
code: def __call__(self, tensor):
      """
      This function is here just to make mypy happy.  We expect initialization functions to
      follow this API; the builtin pytorch initialization functions follow this just fine, even
      though they don't subclass ``Initialization``.  We're just making it explicit here, so mypy
      knows that initializers are callable like this.
      """
      raise NotImplementedError
  
imports: from __future__ import division
  from __future__ import absolute_import
  import logging
  import re
  import math
  import itertools
  import torch
  import torch.nn.init
  from allennlp.common import Registrable
  from allennlp.common.params import Params
  from allennlp.common.checks import ConfigurationError
label_desc: Use image node_id 1 for calling the Initializer obj's underlying member method code with example usage: obj.__call__(tensor) without return types