update setting LD_LIBRARY_PATH for cudnn 8.9.6.50

Author: Aaron Boxer

Dockerfile

@@ -24,7 +24,6 @@ RUN /bin/bash -c "\
 
 # Set some environment variables
 ENV GST_PLUGIN_PATH=/root/gst-python-ml/plugins
-ENV LD_LIBRARY_PATH=/opt/venv/lib/python3.12/site-packages/nvidia/cublas/lib:/opt/venv/lib/python3.12/site-packages/nvidia/cudnn/lib
 
 # allow Python to properly handle Unicode characters during logging.
 ENV PYTHONIOENCODING=utf-8

README.md

@@ -35,8 +35,6 @@ or installing with a Docker container:
 
 #### Install packages
 
-Note: `nvidia-cuda-toolkit` dependency assumes an Nvidia card on your system
-
 ```
 sudo apt update && sudo apt -y upgrade
 sudo apt install -y python3-pip  python3-venv \
@@ -61,7 +59,6 @@ sudo apt install -y python3-pip  python3-venv \
 export VIRTUAL_ENV=$HOME/venv
 export PATH=$VIRTUAL_ENV/bin:$PATH
 export GST_PLUGIN_PATH=$HOME/src/gst-python-ml/plugins
-export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$VIRTUAL_ENV/lib/python3.12/site-packages/nvidia/cublas/lib:$VIRTUAL_ENV/lib/python3.12/site-packages/nvidia/cudnn/lib
 ```
 
 and then

requirements/language_requirements.txt

@@ -2,6 +2,10 @@
 # TTS and STT
 
 nvidia-cudnn-cu11==8.9.6.50
+# to use this version of cuda, you must also update LD_LIBRARY_PATH in
+# ~/.bashrc with the following line (adjust for your python version)
+#export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$VIRTUAL_ENV/lib/python3.12/site-packages/nvidia/cublas/lib:$VIRTUAL_ENV/lib/python3.12/site-packages/nvidia/cudnn/lib
+
 sentencepiece
 protobuf
 accelerate