I am currently working on a university server that has CUDA 10.2 installed and I have no means to install other CUDA versions (I assume there is no way without root rights?).
When using rasa, I get the following warning, so I cannot use GPU to train the rasa model:
(DL) [rasa]$ python Python 3.6.12 |Anaconda, Inc.| (default, Sep 8 2020, 23:10:56) [GCC 7.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import rasa 2021-01-05 12:22:48.411064: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory 2021-01-05 12:22:48.411122: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Aparently this is due to an incompatibility of TF 2.3 and CUDA 10.2. Unfortunately, rasa requires TF<2.4.
Would you know a workaround for this? When is TF 2.4 going to be supported?