The base class for TensorFlow exceptions.
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.
|