#!/bin/bash # StarPU --- Runtime system for heterogeneous multicore architectures. # # Copyright (C) 2016-2020 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria # # StarPU is free software; you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published by # the Free Software Foundation; either version 2.1 of the License, or (at # your option) any later version. # # StarPU is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. # # See the GNU Lesser General Public License in COPYING.LGPL for more details. # # Script for giving statistical analysis of the paje trace set -e # fail fast # File names SOURCE_DIR=@abs_srcdir@ outputfile="mlr_analysis.html" analysis_script="$SOURCE_DIR/starpu_mlr_analysis.Rmd" # Command line arguments inputfile="" help_script() { cat << EOF Give an example of the trace analysis for computing multiple linear regression model Options: -h Show this message Examples: $0 .starpu/sampling/codelets/tmp/test_mlr.out $0 Report bugs to <@PACKAGE_BUGREPORT@> EOF } if [ "$1" = "--version" ] ; then echo "$PROGNAME (@PACKAGE_NAME@) @PACKAGE_VERSION@" exit 0 fi if [ "$1" = "-h" ] || [ "$1" = "--help" ] ; then help_script exit 0 fi while getopts "h" opt; do case $opt in \?) echo "Invalid option: -$OPTARG" help_script exit 3 ;; esac done # Reading files that need to be analyzed shift $((OPTIND - 1)) inputfile=$1 if [[ $# < 1 ]]; then inputfile="$SOURCE_DIR/perfmodels/sampling/codelets/tmp/mlr_init.out" else # Error if there is more than one input file if [[ $# > 1 ]]; then echo "Error!" help_script exit 2 fi fi if [ ! -s $inputfile ] then echo "Error: file $inputfile does not exist!" exit 5 fi ##################################### # Running analysis file to get actual results in="$(cd "$(dirname "$inputfile")"; pwd)/$(basename "$inputfile")" Rscript -e "library(knitr); input_trace = '$in' ; outputhtml='$outputfile';\ outputRmd = gsub('.html\$','.Rmd',outputhtml);\ knit('$analysis_script',output=outputRmd); knitr::knit2html(outputRmd)"