tf.errors.OpError      View source on GitHub    The base class for TensorFlow exceptions.  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.OpError, tf.compat.v1.errors.OpError  
tf.errors.OpError(
    node_def, op, message, error_code, *args
)
 Usually, TensorFlow will raise a more specific subclass of OpError from the tf.errors module.
 


 Args
  node_def   The node_def_pb2.NodeDef proto representing the op that failed, if known; otherwise None.  
  op   The ops.Operation that failed, if known; otherwise None. During eager execution, this field is always None.  
  message   The message string describing the failure.  
  error_code   The error_codes_pb2.Code describing the error.  
  *args   If not empty, it should contain a dictionary describing details about the error. This argument is inspired by Abseil payloads: https://github.com/abseil/abseil-cpp/blob/master/absl/status/status.h   
 


 Attributes
  error_code   The integer error code that describes the error.  
  experimental_payloads   A dictionary describing the details of the error.  
  message   The error message that describes the error.  
  node_def   The NodeDef proto representing the op that failed.  
  op   The operation that failed, if known. 
Note: If the failed op was synthesized at runtime, e.g. a Send or Recv op, there will be no corresponding tf.Operation object. In that case, this will return None, and you should instead use the tf.errors.OpError.node_def to discover information about the op. 

    

    
{'path': 'public/docs/tensorflow~2.9/errors/operror.html', 'source': 'DevDocs.IO'}