--- /dev/null
+import numpy as np
+import matplotlib.pyplot as plt
+IMAGEDIR = "report/pics/"
+
+def generateHistograms(X, header):
+ global IMAGEDIR
+ for i, c in enumerate(X.T):
+ plt.hist(c)
+ plt.savefig(IMAGEDIR + header[i] + "-hist.pdf")
+ plt.clf()
+
+def generateScatterPlot(X, Y, header):
+ global IMAGEDIR
+ for i, feature in enumerate(X.T):
+ values = np.unique(feature)
+ values = np.sort(values)
+ geomean = []
+ for value in values:
+ a =Y[np.where(feature == value)]
+ a = np.array(map(lambda x : x**(1.0/len(a)), a))
+ geomean.append(a.prod())
+ plt.plot(feature, Y, 'r.')
+ for ii in range(0, len(geomean)-1):
+ plt.plot(values[ii:ii + 2], geomean[ii:ii + 2], 'bo-')
+ plt.savefig(IMAGEDIR + header[i] + "-scat.pdf")
+ plt.clf()
+
+def plot(data, header):
+ global IMAGEDIR
+ header=header[6:-1]
+ data = np.array(data)
+ X = data[:, 6:-4]
+ X[X==''] = '-1'
+ X = X.astype(np.float)
+ Y = data[:, -2]
+ Y = Y.astype(np.float)
+ generateHistograms(X, header)
+ generateScatterPlot(X, Y, header)
+
+
+
+
--- /dev/null
+LATEX := pdflatex -halt-on-error
+FIGURES :=
+.SUFFIXES : .tex .bbl .aux .eps .ps .dot .pdf
+
+.tex.bbl:
+ bibtex $*
+
+.tex.aux:
+ latex $*
+
+%.eps: %.ps
+ ps2epsi $< $@
+
+%.ps: %.dot
+ dot -Tps $< -o $@
+
+%.pdf: %.dot
+ dot -Tpdf $< -o $@
+
+%.png: %.dot
+ dot -Tpng $< -o $@
+
+%.aux: %.tex
+ $(LATEX) $<
+
+#%.dot: %.dotpiece $(FIGHEAD) $(FIGFOOT)
+# cat $(FIGHEAD) $< $(FIGFOOT) > $@
+
+# latex the paper (default)
+new: biblinks newpaper
+
+# latex + bibtex the paper
+bib: bibpaper newpaper
+
+# save a backup of tex files in BACKUPS
+bak: backuppaper
+
+biblinks: figures
+ $(LATEX) paper.tex
+ $(LATEX) paper.tex
+
+bibsuppl: figures
+ $(LATEX) suppl.tex
+ $(LATEX) suppl.tex
+
+cl: cover-letter.tex
+ $(LATEX) cover-letter.tex
+
+newpaper: figures biblinks
+ $(LATEX) paper.tex
+
+suppl: figures bibsuppl
+ $(LATEX) suppl.tex
+
+
+bibpaper: paper.aux paper.bbl
+ latex paper.tex
+
+
+backuppaper:
+ @if [ ! -d BACKUPS ]; then mkdir BACKUPS; fi; \
+ crtdate=`date '+%m-%d-%y--%H:%M:%S'`; \
+ bakdir=BACKUPS/$$crtdate; \
+ mkdir $$bakdir; \
+ cp *.tex $$bakdir
+
+spell:
+ @for i in *.tex; \
+ do if [ $$i != "paper.tex" ]; then aspell -c $$i -p ./spell.lst; fi;\
+ done
+
+total:
+ pdflatex paper.tex
+ pdflatex paper.tex
+ pdflatex paper.tex
+ @echo ================================================================
+ pdflatex paper.tex | grep -E 'arning|erfull'
+ @echo ================================================================
+
+figures: $(FIGURES)
+
+errinjfig:
+ gnuplot err-inj-fig/nve2latex.cmds
+ epstopdf injectErrorFig.eps
+ mv injectErrorFig.* figures
+
+
+clean:
+ rm -f *.dvi *.log *.aux *.blg *.bbl *~ err-inj-fig/*~
+ rm -f paper.ps paper.pdf
+ rm -f injectErrorFig*
+ rm -rf $(PDF_DIR)
--- /dev/null
+@BOOK{Smith:2012qr,
+ title = {{B}ook {T}itle},
+ publisher = {Publisher},
+ author = {Smith, J.~M. and Jones, A.~B.},
+ year = {2012},
+ edition = {7th},
+}
+
+@ARTICLE{Smith:2013jd,
+ author = {Jones, A.~B. and Smith, J.~M.},
+ title = {{A}rticle {T}itle},
+ journal = {Journal title},
+ year = {2013},
+ volume = {13},
+ pages = {123-456},
+ number = {52},
+ month = {March},
+ publisher = {Publisher}
+}
\ No newline at end of file
--- /dev/null
+\documentclass[a4paper, 11pt]{article} % Font size (can be 10pt, 11pt or 12pt) and paper size (remove a4paper for US letter paper)\r
+\r
+\usepackage[protrusion=true,expansion=true]{microtype} % Better typography\r
+\usepackage{graphicx} % Required for including pictures\r
+\usepackage{wrapfig} % Allows in-line images\r
+\r
+\usepackage{mathpazo} % Use the Palatino font\r
+\usepackage[T1]{fontenc} % Required for accented characters\r
+\usepackage{float}\r
+\linespread{1.05} % Change line spacing here, Palatino benefits from a slight increase by default\r
+\r
+%---------------------------------------------------------------------------------------tyle{acmnumeric}\r
+% TITLE\r
+%----------------------------------------------------------------------------------------\r
+\r
+\title{\textbf{SATTune Tuning Report}}\r
+\r
+%\author{\textsc{Ford Prefect} % Author\r
+%\\{\textit{Interstellar University}}} % Institution\r
+\r
+%\date{\today} % Date\r
+\r
+%----------------------------------------------------------------------------------------\r
+\r
+\begin{document}\r
+\r
+\maketitle % Print the title section\r
+\r
+\r
+\input{tech}\r
+\r
+%\bibliographystyle{unsrt}\r
+%\bibliography{paper}\r
+\r
+\end{document}\r
--- /dev/null
+\section{Evaluation}\label{sec:eval}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/EDGEENCODING-hist.pdf}\r
+ \caption{Encoding Edge Histogram}\r
+ \label{fig:edgeencoding}\r
+\end{figure}\r
+\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/ELEMENTOPTSETS-hist.pdf}\r
+ \caption{Element Opt Set Histogram}\r
+ \label{fig:elementoptset}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/ELEMENTOPT-hist.pdf}\r
+ \caption{Element Opt Histogram}\r
+ \label{fig:elementopt}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/ENCODINGGRAPHOPT-hist.pdf}\r
+ \caption{Encoding Graph Optimization Histogram}\r
+ \label{fig:encodinggraph}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/MUSTEDGEPRUNE-hist.pdf}\r
+ \caption{Must Prune Histogram}\r
+ \label{fig:mustedgeprune}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/MUSTVALUE-hist.pdf}\r
+ \caption{Must Value Histogram}\r
+ \label{fig:mustvalue}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/NODEENCODING-hist.pdf}\r
+ \caption{Node Encoding Histogram}\r
+ \label{fig:nodeencoding}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/NAIVEENCODER-hist.pdf}\r
+ \caption{Naive Encoder Histogram}\r
+ \label{fig:naiveencoder}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/PREPROCESS-hist.pdf}\r
+ \caption{Preprocess Histogram}\r
+ \label{fig:preprocess}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/PROXYVARIABLE-hist.pdf}\r
+ \caption{Proxy Variable Histogram}\r
+ \label{fig:proxyvariable}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/VARIABLEORDER-hist.pdf}\r
+ \caption{Variable Order Histogram}\r
+ \label{fig:variableorder}\r
+\end{figure}\r
+\r
+\clearpage\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/EDGEENCODING-scat.pdf}\r
+ \caption{Encoding Edge plot}\r
+ \label{fig:edgeencodings}\r
+\end{figure}\r
+\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/ELEMENTOPTSETS-scat.pdf}\r
+ \caption{Element Opt Set plot}\r
+ \label{fig:elementoptsets}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/ELEMENTOPT-scat.pdf}\r
+ \caption{Element Opt plot}\r
+ \label{fig:elementopts}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/ENCODINGGRAPHOPT-scat.pdf}\r
+ \caption{Encoding Graph Optimization plot}\r
+ \label{fig:encodinggraphs}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/MUSTEDGEPRUNE-scat.pdf}\r
+ \caption{Must Prune plot}\r
+ \label{fig:mustedgeprunes}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/MUSTVALUE-scat.pdf}\r
+ \caption{Must Value plot}\r
+ \label{fig:mustvalues}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/NODEENCODING-scat.pdf}\r
+ \caption{Node Encoding plot}\r
+ \label{fig:nodeencodings}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/NAIVEENCODER-scat.pdf}\r
+ \caption{Naive Encoder plot}\r
+ \label{fig:naiveencoders}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/PREPROCESS-scat.pdf}\r
+ \caption{Preprocess Plot}\r
+ \label{fig:preprocesss}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/PROXYVARIABLE-scat.pdf}\r
+ \caption{Proxy Variable plot}\r
+ \label{fig:proxyvariables}\r
+\end{figure}\r
+\r
+\begin{figure}[htb]\r
+ \centering\r
+ \includegraphics[scale=0.6]{pics/VARIABLEORDER-scat.pdf}\r
+ \caption{Variable Order Plot}\r
+ \label{fig:variableorders}\r
+\end{figure}\r
+\r
import argparse
import sys
import os
-
+import plot as pl
class AutoTunerArgParser:
def __init__(self):
def dump(file, row):
global TUNABLEHEADER
mystr=""
+ data = []
for i in range(len(TUNABLEHEADER)):
mystr += row[TUNABLEHEADER[i]]+ ","
- print "mystr is:"+ mystr
+ data.append(row[TUNABLEHEADER[i]])
+ print ("mystr is:"+ mystr)
print >>file, mystr
+ return data
def loadTunerInfo(row, filename):
with open(filename) as f:
argprocess = AutoTunerArgParser()
printHeader(file)
rows = []
+ data = []
for i in range(argprocess.getRunNumber()):
row = {"DECOMPOSEORDER" : "",
"MUSTREACHGLOBAL" : "",
loadTunerInfo(row, argprocess.getFolder()+"/tuner"+str(i)+"used")
loadSolverTime(row, argprocess.getFolder()+"/log"+str(i))
loadProblemName(row, argprocess.getFolder()+"/problem"+str(i))
- dump(file, row)
+ data.append(dump(file, row))
rows.append(row)
- return rows
+ return rows, data
def tunerCountAnalysis(file, rows):
global TUNABLEHEADER
tunernumber[mystr] += "-" + str(row["TUNERNUMBER"])
problems = set(map(lambda x: x["PROBLEM"], rows))
- print "Number of repititive tuners"
+ print ("Number of repititive tuners")
for key in tunercount:
if tunercount[key] > 1:
print key + "(ids:" + tunernumber[key] + ") = #" + str(tunercount[key])
newRows.append(combined)
return newRows
+def transformDataset(rows):
+ print(rows)
+
+
def main():
+ global TUNABLEHEADER
file = open("tuner.csv", "w")
- rows = analyzeLogs(file)
+ rows, data = analyzeLogs(file)
tunerCountAnalysis(file, combineRowForEachTuner(rows) )
file.close()
- return
+ #transformDataset(data)
+ pl.plot(data, TUNABLEHEADER)
+
if __name__ == "__main__":
main()
projects / satune.git / commitdiff