class_docstr: A generic error that is raised when TensorFlow execution fails.
  
  Whenever possible, the session will raise a more specific subclass
  of `OpError` from the `tf.errors` module.
class_docstr_tok: ["A","generic","error","that","is","raised","when","TensorFlow","execution","fails",".","Whenever","possible",",","the","session","will","raise","a","more","specific","subclass","of","`","OpError","`","from","the","`","tf.errors","`","module","."]
docstr: The `NodeDef` proto representing the op that failed.
docstr_tok: ["The","`","NodeDef","`","proto","representing","the","op","that","failed","."]
code: def node_def(self):
      """The `NodeDef` proto representing the op that failed."""
      return self._node_def
  
imports: import traceback
  import warnings
  from .None import error_codes
label_desc: Use image node_id 5 for calling the OpError obj's underlying member method code with example usage: obj.node_def() and returns: self