Could Not Load Dynamic Library Cudart64_110.dll

[Paul]

Lookslike you are missing the BERT library in your conda environment. Please refer to this blogpost to see which libraries are needed to run the BERT nodes: -text-classification-for-everyone#Installation

It seems that you are trying to use GPU to run the code. In order to do this you need to install additional software for your GPU, basically you need to install CUDA and neural network processing libraries for it.

In our tests we used libcudNN 7.6.5 and CUDA 10.1. I would recommend you to use these versions. However feel free to try some other, I would be glad to know if there are other versions of CUDA software that makes it possible to run the code.

Regarding the CUDA related problem. Unfortunately CUDA installation might not be very clear and straightforward, but probably you could try to re-install CUDA and the related libraries.

I have also found these solutions for a similar problem, I hope they might be useful for you:

-resolve-tensorflow-2-0-error-could-not-load-dynamic-library-cudart64_100-dll-dlerror-cudart64_100-dll-not-found/

As you stated you are using TensorFlow 2 running on CPU. Does it work?

If it works, than you can probably ignore this message that is related to CUDA and GPU as long as you are not planning to use TF2 on GPU.

In recent years, text classification models have achieved impressive results thanks to the advent of highly performant Deep Learning NLP techniques, amongst which the BERT model and consorts has a prominent role.

I also did not understand your point about CUDA and Knime compatibility. CUDA is a low-lever software compared to Knime, moreover Knime does not communicate with CUDA directly since CUDA libraries are used in Python while execution of BERT related Python code.

Hello @sms

We did some investigation and found out that the extension is dependent on OS and packages version for the OS.

In case you are using Windows please try to install these packages to make extension working.

3a8082e126