tf.OpError

class tf.OpError

class tf.errors.OpError

See the guide: Running Graphs > Error classes and convenience functions

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.

Properties

error_code

The integer error code that describes 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.

N.B. 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.OpError.node_def to discover information about the op.

Returns:

The Operation that failed, or None.

Methods

__init__(node_def, op, message, error_code)

Creates a new OpError indicating that a particular op failed.

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.
• message: The message string describing the failure.
• error_code: The error_codes_pb2.Code describing the error.

Class Members

args

Defined in tensorflow/python/framework/errors_impl.py.