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A generic error that is raised when TensorFlow execution fails.
Whenever possible, the session will raise a more specific subclass
of `OpError` from the `tf.errors` module.
- - -
#### `tf.OpError.op` {#OpError.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
[`Operation`](../../api_docs/python/framework.md#Operation)
object. In that case, this will return `None`, and you should
instead use the [`OpError.node_def`](#OpError.node_def) to
discover information about the op.
##### Returns:
The `Operation` that failed, or None.
- - -
#### `tf.OpError.node_def` {#OpError.node_def}
The `NodeDef` proto representing the op that failed.
#### Other Methods
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#### `tf.OpError.__init__(node_def, op, message, error_code)` {#OpError.__init__}
Creates a new `OpError` indicating that a particular op failed.
##### Args:
* <b>`node_def`</b>: The `graph_pb2.NodeDef` proto representing the op that failed,
if known; otherwise None.
* <b>`op`</b>: The `ops.Operation` that failed, if known; otherwise None.
* <b>`message`</b>: The message string describing the failure.
* <b>`error_code`</b>: The `error_codes_pb2.Code` describing the error.
- - -
#### `tf.OpError.error_code` {#OpError.error_code}
The integer error code that describes the error.
- - -
#### `tf.OpError.message` {#OpError.message}
The error message that describes the error.
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