这篇博客详细介绍了TensorFlow中的OpError类，它是执行失败时抛出的通用错误。OpError包含了有关失败操作的节点定义、错误代码和详细消息。当执行遇到问题时，会尽可能抛出更具体的子类错误。文章还提供了错误对象的属性和构造方法的说明，帮助开发者诊断和解决运行时的错误问题。
Class OpError
A generic error that is raised when TensorFlow execution fails.
Aliases:
Whenever possible, the session will raise a more specific subclass of OpError from the tf.errors module.
__init__
__init__(
node_def,
op,
message,
error_code
)
Creates a new OpError indicating that a particular op failed.
Args:
node_def: Thenode_def_pb2.NodeDefproto representing the op that failed, if known; otherwise None.op: Theops.Operationthat failed, if known; otherwise None.message: The message string describing the failure.error_code: Theerror_codes_pb2.Codedescribing the error.
Properties
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.
Returns:
The Operation that failed, or None.
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