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Add build system files

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This commit is contained in:
Andreas Tsouchlos 2024-12-03 11:45:19 +01:00
parent 2527ca587e
commit e617bb573e
6 changed files with 106 additions and 25 deletions
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6
.clean_local_env.sh Executable file
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@ -0,0 +1,6 @@
# This script undoes the effect of .setup_local_env.sh
rm ./src/**/lib
rm ./src/**/.latexmkrc
rm ./src/**/src

25
.setup_local_env.sh Executable file
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@ -0,0 +1,25 @@
# This script sets up the environment to be able to compile the latex source
# files from within the 'src' directory with latexmk.
#
# Context: The project is set up in such a way that running make from the root
# directory compiles all documents. When using vimtex, however, when compiling
# a document it is always assumed that the root directory is that of the
# document currently being edited. Running this script enables the documents in
# 'src' to be edited and compiled with vimtex as well.
SRC_DIRS=$(ls src)
for SRC_DIR in $SRC_DIRS; do
# Create the latexmkrc file. Note the -cd option which changes the working
# directory
echo '$pdflatex="pdflatex -shell-escape -interaction=nonstopmode -synctex=1 %O %S -cd ./../..";' > ./src/$SRC_DIR/.latexmkrc
echo '$out_dir = "build";' >> ./src/$SRC_DIR/.latexmkrc
echo '$pdf_mode = 1;' >> ./src/$SRC_DIR/.latexmkrc
# Changing the working driectory using the -cd option seems to only affect
# source files.
#ln -s `pwd`/src ./src
ln -s `pwd`/lib ./src/$SRC_DIR/lib
ln -s `pwd`/src ./src/$SRC_DIR/src
done

18
Dockerfile Normal file
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@ -0,0 +1,18 @@
FROM ubuntu:24.04
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update -y && apt upgrade -y
RUN apt install make texlive latexmk texlive-pictures -y
RUN apt install texlive-publishers texlive-science texlive-fonts-extra texlive-latex-extra -y
RUN apt install biber texlive-bibtex-extra -y
RUN apt install python3 python3-pygments -y
# The 'bbm' package insists on generating stuff in the home directory. In
# order to guarantee access to the home directory no matter the user the
# docker container is run with, create a temporary one anyone can write to
RUN mkdir /tmp/home
RUN chmod -R 777 /tmp/home
ENV HOME=/tmp/home

7
Makefile Normal file
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@ -0,0 +1,7 @@
all:
mkdir -p build/build
latexmk src/2024-12-03/presentation.tex
mv build/presentation.pdf build/presentation_2024-12-03.pdf
clean:
rm -rf build

22
README.md Normal file
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@ -0,0 +1,22 @@
# CEL Presentation
LaTeX sources for a presentation held at CEL on the 21.06.2024.
## Build
### Build manually
```bash
$ make
```
### Build using docker
1. Build docker image
```bash
$ docker build -f Dockerfile . -t hiwi-presentations
```
1. Build examples
```bash
$ docker run --rm -v $PWD:$PWD -w $PWD -u `id -u`:`id -g` hiwi-presentations make
```

53
src/2024-12-03/presentation.tex
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@ -31,6 +31,9 @@
\input{lib/latex-common/common.tex}
\pgfplotsset{colorscheme/cel}
\newcommand{\res}{src/2024-12-03/res}
%
%
% CEL Template
@ -161,23 +164,23 @@ def decode(self, y: torch.Tensor) -> torch.Tensor:
]
\addplot+[scol0, mark=none, line width=1pt, densely dashed, forget plot]
table[col sep=comma, x=Eb_N0, y=FER]
{res/performance_204.33.484.csv};
{\res/performance_204.33.484.csv};
\addplot+[scol0, mark=none, line width=1pt]
table[col sep=comma, x=Eb_N0, y=BER]
{res/performance_204.33.484.csv};
{\res/performance_204.33.484.csv};
\addlegendentry{Adam Decoder}
\addplot+[scol2, mark=none, line width=1pt, densely dashed, forget plot]
table[col sep=comma, x=Eb_N0, y=FER]
{res/proximal_performance_204.33.484.csv};
{\res/proximal_performance_204.33.484.csv};
\addplot+[scol2, mark=none, line width=1pt]
table[col sep=comma, x=Eb_N0, y=BER]
{res/proximal_performance_204.33.484.csv};
{\res/proximal_performance_204.33.484.csv};
\addlegendentry{Proximal Decoder}
\addplot+[black, mark=none, line width=1pt, densely dashed, forget plot]
table[col sep=comma, x=Eb_N0, y=FER]
{res/ml_performance_204.33.484.csv};
{\res/ml_performance_204.33.484.csv};
\addlegendimage{black, mark=none, line width=1pt}
\addlegendentry{ML Decoder\citereference{Hel+23}}
\end{axis}
@ -221,11 +224,11 @@ def decode(self, y: torch.Tensor) -> torch.Tensor:
]
\addplot+[scol0, mark=none, line width=1pt, densely dashed]
table[col sep=comma, x=learning_rate, y=FER, discard if not={Eb_N0}{4.0}]
{res/parameter_choice_learning_rate.csv};
{\res/parameter_choice_learning_rate.csv};
\addplot+[scol0, mark=none, line width=1pt]
table[col sep=comma, x=learning_rate, y=BER, discard if not={Eb_N0}{4.0}]
{res/parameter_choice_learning_rate.csv};
{\res/parameter_choice_learning_rate.csv};
\draw[scol1] (axis cs:5e-2,0.001) -- (axis cs:5e-2,2);
\addplot[scol1, mark=*] coordinates {(5e-2,0.0074)} node{};
@ -271,11 +274,11 @@ def decode(self, y: torch.Tensor) -> torch.Tensor:
]
\addplot+[scol0, mark=none, line width=1pt, densely dashed]
table[col sep=comma, x=max_iter, y=FER]
{res/parameter_choice_max_iterations.csv};
{\res/parameter_choice_max_iterations.csv};
\addplot+[scol0, mark=none, line width=1pt]
table[col sep=comma, x=max_iter, y=BER]
{res/parameter_choice_max_iterations.csv};
{\res/parameter_choice_max_iterations.csv};
\draw[scol1] (axis cs:150,1e-3) -- (axis cs:150,2);
\addplot[scol1, mark=*] coordinates {(150,0.0068)} node{};
@ -315,17 +318,17 @@ def decode(self, y: torch.Tensor) -> torch.Tensor:
\addplot[scol0, line width=1pt, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma]
{res/performance_bch_31_26.csv};
{\res/performance_bch_31_26.csv};
\addplot[scol0, line width=1pt]
table [x=Eb_N0, y=BER, col sep=comma]
{res/performance_bch_31_26.csv};
{\res/performance_bch_31_26.csv};
\addplot[scol2, line width=1pt, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma]
{res/proximal_performance_bch_31_26.csv};
{\res/proximal_performance_bch_31_26.csv};
\addplot[scol2, line width=1pt]
table [x=Eb_N0, y=BER, col sep=comma]
{res/proximal_performance_bch_31_26.csv};
{\res/proximal_performance_bch_31_26.csv};
\end{axis}
\end{tikzpicture}
@ -349,17 +352,17 @@ def decode(self, y: torch.Tensor) -> torch.Tensor:
\addplot[scol0, line width=1pt, solid, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma]
{res/performance_96.33.965.csv};
{\res/performance_96.33.965.csv};
\addplot[scol0, line width=1pt, solid]
table [x=Eb_N0, y=BER, col sep=comma]
{res/performance_96.33.965.csv};
{\res/performance_96.33.965.csv};
\addplot[scol2, line width=1pt, solid, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma]
{res/proximal_performance_96.33.965.csv};
{\res/proximal_performance_96.33.965.csv};
\addplot[scol2, line width=1pt, solid]
table [x=Eb_N0, y=BER, col sep=comma]
{res/proximal_performance_96.33.965.csv};
{\res/proximal_performance_96.33.965.csv};
\end{axis}
\end{tikzpicture}
@ -388,20 +391,20 @@ def decode(self, y: torch.Tensor) -> torch.Tensor:
\addplot[scol0, line width=1pt, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma,
discard if gt={Eb_N0}{6}]
{res/performance_204.33.484.csv};
{\res/performance_204.33.484.csv};
\addplot[scol0, line width=1pt]
table [x=Eb_N0, y=BER, col sep=comma,
discard if gt={Eb_N0}{6}]
{res/performance_204.33.484.csv};
{\res/performance_204.33.484.csv};
\addplot[scol2, line width=1pt, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma,
discard if gt={Eb_N0}{6}]
{res/proximal_performance_204.33.484.csv};
{\res/proximal_performance_204.33.484.csv};
\addplot[scol2, line width=1pt]
table [x=Eb_N0, y=BER, col sep=comma,
discard if gt={Eb_N0}{6}]
{res/proximal_performance_204.33.484.csv};
{\res/proximal_performance_204.33.484.csv};
\end{axis}
\end{tikzpicture}
@ -426,17 +429,17 @@ def decode(self, y: torch.Tensor) -> torch.Tensor:
\addplot[scol0, line width=1pt, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma]
{res/performance_204.55.187.csv};
{\res/performance_204.55.187.csv};
\addplot[scol0, line width=1pt]
table [x=Eb_N0, y=BER, col sep=comma]
{res/performance_204.55.187.csv};
{\res/performance_204.55.187.csv};
\addplot[scol2, line width=1pt, densely dashed]
table [x=Eb_N0, y=FER, col sep=comma]
{res/proximal_performance_204.55.187.csv};
{\res/proximal_performance_204.55.187.csv};
\addplot[scol2, line width=1pt]
table [x=Eb_N0, y=BER, col sep=comma]
{res/proximal_performance_204.55.187.csv};
{\res/proximal_performance_204.55.187.csv};
\end{axis}
\end{tikzpicture}