I am doing a fresh installation of rasa 2.2.0 on Ubuntu 20.04 with Lambda Stack installed. This includes CUDA v11.1, cuDNN v7.6.5, and TF v2.3.0. Any
rasa command throws a
libcudart.so.10.1. It looks like rasa depends on CUDA 10. Installing from source doesn’t change this.
Further evidence: a virtual environment before
pip3 install rasa successfully accesses
libcudart.so.11.1; after the command, the above mentioned error is thrown.
Does rasa have a hard dependency on CUDA 10? Can it run TF on CUDA 11 instead? If yes, how should it be configured?
Thanks in advance,