anleitung_windows_openai-gym.tex

@@ -147,7 +147,10 @@ Falls Sie eine NVIDIA GPU haben und den Support dafür aktivieren wollen, instal
 \begin{lstlisting}[gobble=2, basicstyle=\ttfamily\footnotesize]
   #*\color{gray}(ml) C:\textbackslash Users\textbackslash john>*mamba install cudatoolkit cudnn
 \end{lstlisting}
-
+und fügen auch den Pfad zu den entsprechenden Libraries (z.\,B.\ \textit{cudnn64\_8.dll}) in ihrer Benutzerumgebungsvariable \lstinline|Path| hinzu, besipielhaft:
+\begin{lstlisting}[gobble=2, basicstyle=\ttfamily\footnotesize]
+  C:\Users\john\mambaforge\envs\ml\Library\bin
+\end{lstlisting}
 
 
 

instructions_windows_weai.tex

@@ -52,7 +52,7 @@
 \usepackage[color=blue, author={Christof Kaufmann}]{attachfile2} % load after hyperref to avoid option clash from unicode=true
 
 \title{Installation of Python via Mambaforge for Windows}
-\date{December 2022}
+\date{April 2023}
 \author{Christof Kaufmann}
 
 % one infinite page, https://tex.stackexchange.com/a/19241/115883
@@ -104,24 +104,24 @@ Now we are ready to install the packages we need.
 
 Let's create a new environment called \textit{weai} and add the packages we need to it (copy \& paste black text lines):
 \begin{lstlisting}[gobble=2, basicstyle=\ttfamily\footnotesize]
-  #*\color{gray}(base) C:\textbackslash Users\textbackslash john>*mamba create -n weai astunparse matplotlib scikit-learn ^
-                                            absl-py ipympl jupyter h5py spyder ^
-                                            numpy gast=0.4 wrapt protobuf=3.19 ^
-                                            notebook typing-extensions seaborn ^
-                                            termcolor google-pasta grpcio mypy ^
-                                            tensorboard=2.10 odfpy keras=2.10 ^
-                                            keras-preprocessing libclang ^
-                                            flatbuffers=1.12 opt_einsum openpyxl
+  #*\color{gray}(base) C:\textbackslash Users\textbackslash john>*mamba create -n weai python=3.9 astunparse matplotlib ^
+                                            ipympl mypy jupyter notebook spyder ^
+                                            scikit-learn seaborn openpyxl odfpy ^
+                                            pyarrow pandas
 \end{lstlisting}
 You will get a list of packages and can confirm with \keyenter. Installation takes a while. Since \lstinline|tensorflow| is not yet available for Windows on \texttt{conda-forge}, we need to install it from \textit{PyPI} using \lstinline|pip| into the \textit{weai} environment:
 \begin{lstlisting}[gobble=2, basicstyle=\ttfamily\footnotesize]
   #*\color{gray}(base) C:\textbackslash Users\textbackslash john>*mamba activate weai
   #*\color{gray}(weai) C:\textbackslash Users\textbackslash john>*pip install tensorflow==2.10.1
 \end{lstlisting}
-If you have a NVIDIA GPU and want to activate support for it, install the following packages:
+If you have an NVIDIA GPU and want to activate support for it, install the following packages:
 \begin{lstlisting}[gobble=2, basicstyle=\ttfamily\footnotesize]
   #*\color{gray}(weai) C:\textbackslash Users\textbackslash john>*mamba install cudatoolkit cudnn
 \end{lstlisting}
+and optionally (not required for Spyder) also add the path to the corresponding libraries (e.\,g.\ \textit{cudnn64\_8.dll}) in your user environment variable \lstinline|Path|, for example:
+\begin{lstlisting}[gobble=2, basicstyle=\ttfamily\footnotesize]
+  C:\Users\john\mambaforge\envs\ml\Library\bin
+\end{lstlisting}