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tf.errors.OpError

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.
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.

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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/errors/OpError