class_docstr: Run :func:`tf.check_numerics` for each gradient.
class_docstr_tok: ["Run",":","func",":","`","tf.check_numerics","`","for","each","gradient","."]
code: def __init__(self):
      super(CheckGradient, self).__init__(self._mapper)
  
imports: import inspect
  import re
  from abc import ABCMeta, abstractmethod
  import six
  import tensorflow
  from ..compat import tfv1
  from ..utils import logger
  from .summary import add_moving_summary
  from .symbolic_functions import print_stat, rms
label_desc: Use image node_id 1 to create a new CheckGradient object from inherited base classes: MapGradient with example: obj = CheckGradient()