tf.OpError
tf.OpError
class tf.OpError
class tf.errors.OpError
Defined in tensorflow/python/framework/errors_impl.py
.
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__
__init__( node_def, op, message, error_code )
Creates a new OpError
indicating that a particular op failed.
Args:
-
node_def
: Thenode_def_pb2.NodeDef
proto representing the op that failed, if known; otherwise None. -
op
: Theops.Operation
that failed, if known; otherwise None. -
message
: The message string describing the failure. -
error_code
: Theerror_codes_pb2.Code
describing the error.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/OpError