tf.errors.OpError

Class `OpError`

Aliases:

Class tf.OpError
Class tf.errors.OpError

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

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.

`init`

__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.

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.errors.OpError.node_def to discover information about the op.

Returns:

The Operation that failed, or None.

tf.errors.OpError

Class OpError