Skipping optimization due to error while loading function libraries

[michael-dm]

Hello !

I run into this error while trying to make a simple prediction with this package :
W tensorflow/core/grappler/optimizers/implementation_selector.cc:310] Skipping optimization due to error while loading function libraries: Invalid argument: Functions '__inference_standard_gru_13758' and '__inference_standard_gru_13758_specialized_for_bidirectional_3_2_backward_gru_3_StatefulPartitionedCall_at___inference_keras_scratch_graph_16375' both implement 'gru_fed7d4c6-fe30-487d-b5ea-3c3017a988bb' but their signatures do not match.

Any idea where that comes from ?

[st-tomic]

I am facing the same error when trying to run training.
Finally the training loop brakes.

Seems like a Tensorflow issue, upgrading it to the latest version eliminates the error, but not sure if other functionality is affected.

[rolczynski]

Hey folks! I tried to simulate this error (new blank repo and the installation from pip), and all works fine. @st-tomic could you specify your suggestion about the TensorFlow upgrade? (from the error desc, it's related to the compatibility of the GRU implementation across different platforms - indeed, it was changing a little bit in the past).

[st-tomic]

Hi,

I have uninstalled Tensorflow 2.00 and just ran pip install tensorflow to get the latest stable version.

With latest tf it doesn't output this warning.

Switching back to suggested tf version (2.0 gpu) it outputs warning again:

2020-04-06 11:05:13.556498: W tensorflow/core/grappler/optimizers/implementation_selector.cc:310] Skipping optimization due to error while loading function libraries: Invalid argument: Functions '__inference___backward_cudnn_gru_with_fallback_1968_2109_specialized_for_training_Adam_gradients_gradients_bidirectional_2_backward_gru_2_StatefulPartitionedCall_grad_StatefulPartitionedCall_at___inference_keras_scratch_graph_14981' and '__inference___backward_standard_gru_10314_10873' both implement 'gru_1c338f59-abc5-4ea2-a56e-e3fcf2583724' but their signatures do not match.

[rolczynski]

The Tensorflow upgraded to 2.1.0