tf.errors.OpError

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.