如何使用自定义ops恢复元图，以便在Tensorflow中重新训练？
我正在使用Tensorflow 1.15，我想训练一个有一些自定义操作的模型。但是，当我使用如何使用自定义ops恢复元图，以便在Tensorflow中重新训练？,tensorflow,Tensorflow,我正在使用Tensorflow 1.15，我想训练一个有一些自定义操作的模型。但是，当我使用tf.train.import\u meta\u graph从检查点导入MetaGraphDef时，它失败了： tensorflow.python.framework.errors_impl.NotFoundError: Op type not registered 'MyCustomOp' in binary running on f30a7a69-2688-4ccf-b4bd-fd0373ccf8a
tf.train.import\u meta\u graphtensorflow.python.framework.errors_impl.NotFoundError:
Op type not registered 'MyCustomOp' in binary running on f30a7a69-2688-4ccf-b4bd-fd0373ccf8a0.
Make sure the Op and Kernel are registered in the binary running in this process.
Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) `tf.contrib.resampler` should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.