tf.errors.OpError

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A generic error that is raised when TensorFlow execution fails.

tf.errors.OpError(
    node_def, op, message, error_code
)

Whenever possible, the session 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.
• message: The message string describing the failure.
• error_code: The error_codes_pb2.Code describing the error.

Attributes:

• 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.