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 integer error code that describes the error.
docstr_tok: ["The","integer","error","code","that","describes","the","error","."]
code: def error_code(self):
      """The integer error code that describes the error."""
      return self._error_code
  
imports: import traceback
  import warnings
  from .None import error_codes
label_desc: Use image node_id 4 for calling the OpError obj's underlying member method code with example usage: obj.error_code() and returns: self