tf.errors.OpError

The base class for TensorFlow exceptions.

Compat aliases for migration

See Migration guide for more details.

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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