I am trying to serve a fine-tuned ALBERT model, but facing this issue. I made sure the tf version is same for training and serving (1.15). I see that for training, in the file_based_input_fn_builder in classifier_utils uses contrib_data but not anywhere else. Is there any suggestion to fix this issue?
2020-01-13 18:30:09.440631: E tensorflow_serving/util/retrier.cc:37] Loading servable: {name: albert_intent_entity version: 1} failed: Not found: Op type not registered 'BatchMatMulV2' in binary running on 82ab054f3248. 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.
Hi
I am trying to serve a fine-tuned ALBERT model, but facing this issue. I made sure the tf version is same for training and serving (1.15). I see that for training, in the file_based_input_fn_builder in classifier_utils uses contrib_data but not anywhere else. Is there any suggestion to fix this issue?
2020-01-13 18:30:09.440631: E tensorflow_serving/util/retrier.cc:37] Loading servable: {name: albert_intent_entity version: 1} failed: Not found: Op type not registered 'BatchMatMulV2' in binary running on 82ab054f3248. 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.