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Diffstat (limited to 'external/clBLAS/src/scripts/perf/plotPerformance.py')
| -rw-r--r-- | external/clBLAS/src/scripts/perf/plotPerformance.py | 309 |
1 files changed, 0 insertions, 309 deletions
diff --git a/external/clBLAS/src/scripts/perf/plotPerformance.py b/external/clBLAS/src/scripts/perf/plotPerformance.py deleted file mode 100644 index 0c62fcce..00000000 --- a/external/clBLAS/src/scripts/perf/plotPerformance.py +++ /dev/null @@ -1,309 +0,0 @@ -# ######################################################################## -# Copyright 2013 Advanced Micro Devices, Inc. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# ######################################################################## - -# to use this script, you will need to download and install the 32-BIT VERSION of: -# - Python 2.7 x86 (32-bit) - http://www.python.org/download/releases/2.7.1 -# -# you will also need the 32-BIT VERSIONS of the following packages as not all the packages are available in 64bit at the time of this writing -# The ActiveState python distribution is recommended for windows -# (make sure to get the python 2.7-compatible packages): -# - NumPy 1.5.1 (32-bit, 64-bit unofficial, supports Python 2.4 - 2.7 and 3.1 - 3.2.) - http://sourceforge.net/projects/numpy/files/NumPy/ -# - matplotlib 1.0.1 (32-bit & 64-bit, supports Python 2.4 - 2.7) - http://sourceforge.net/projects/matplotlib/files/matplotlib/ -# -# For ActiveState Python, all that one should need to type is 'pypm install matplotlib' - -import datetime -import sys -import argparse -import subprocess -import itertools -import os -import matplotlib -import pylab -from matplotlib.backends.backend_pdf import PdfPages -from blasPerformanceTesting import * - -def plotGraph(dataForAllPlots, title, plottype, plotkwargs, xaxislabel, yaxislabel): - """ - display a pretty graph - """ - colors = ['k','y','m','c','r','b','g'] - #plottype = 'plot' - for thisPlot in dataForAllPlots: - getattr(pylab, plottype)(thisPlot.xdata, thisPlot.ydata, - '{}.-'.format(colors.pop()), - label=thisPlot.label, **plotkwargs) - if len(dataForAllPlots) > 1: - pylab.legend(loc='best') - - pylab.title(title) - pylab.xlabel(xaxislabel) - pylab.ylabel(yaxislabel) - pylab.grid(True) - - if args.outputFilename == None: - # if no pdf output is requested, spit the graph to the screen . . . - pylab.show() - else: - pylab.savefig(args.outputFilename,dpi=(1024/8)) - # . . . otherwise, gimme gimme pdf - #pdf = PdfPages(args.outputFilename) - #pdf.savefig() - #pdf.close() - -######## plotFromDataFile() Function to plot from data file begins ######## -def plotFromDataFile(): - data = [] - """ - read in table(s) from file(s) - """ - for thisFile in args.datafile: - if not os.path.isfile(thisFile): - print 'No file with the name \'{}\' exists. Please indicate another filename.'.format(thisFile) - quit() - - results = open(thisFile, 'r') - results_contents = results.read() - results_contents = results_contents.rstrip().split('\n') - - firstRow = results_contents.pop(0) - print firstRow - print blas_table_header() - print firstRow.rstrip()==blas_table_header() - if firstRow.rstrip() != blas_table_header(): - print 'ERROR: input file \'{}\' does not match expected format.'.format(thisFile) - quit() - - for row in results_contents: - row = row.split(',') - row = TableRow(BlasTestCombination(row[0],row[1],row[2],row[3],row[4],row[5],row[6],row[7],row[8],row[9],row[10],row[11],row[12],row[13],row[14], row[15], row[16], row[17][1:], row[17][0], row[18], row[19], row[20]), row[21]) - data.append(BlasGraphPoint(row.parameters.sizem, row.parameters.sizen, row.parameters.sizek, row.parameters.lda, row.parameters.ldb, row.parameters.ldc, row.parameters.offa , row.parameters.offb , row.parameters.offc , row.parameters.device, row.parameters.order, row.parameters.transa, row.parameters.transb, row.parameters.precision + row.parameters.function, row.parameters.library, row.parameters.label, row.gflops)) - - """ - data sanity check - """ - # if multiple plotvalues have > 1 value among the data rows, the user must specify which to plot - multiplePlotValues = [] - for option in plotvalues: - values = [] - for point in data: - values.append(getattr(point, option)) - multiplePlotValues.append(len(set(values)) > 1) - if multiplePlotValues.count(True) > 1 and args.plot == None: - print 'ERROR: more than one parameter of {} has multiple values. Please specify which parameter to plot with --plot'.format(plotvalues) - quit() - - # if args.graphxaxis is not 'problemsize', the user should know that the results might be strange - #if args.graphxaxis != 'problemsize': - # xaxisvalueSet = [] - # for option in xaxisvalues: - # if option != 'problemsize': - # values = [] - # for point in data: - # values.append(getattr(point, option)) - # xaxisvalueSet.append(len(set(values)) > 1) - # if xaxisvalueSet.count(True) > 1: - # print 'WARNING: more than one parameter of {} is varied. unexpected results may occur. please double check your graphs for accuracy.'.format(xaxisvalues) - - # multiple rows should not have the same input values - #pointInputs = [] - #for point in data: - # pointInputs.append(point.__str__().split(';')[0]) - #if len(set(pointInputs)) != len(data): - # print 'ERROR: imported table has duplicate rows with identical input parameters' - # quit() - - """ - figure out if we have multiple plots on this graph (and what they should be) - """ - if args.plot != None: - multiplePlots = args.plot - elif multiplePlotValues.count(True) == 1 and plotvalues[multiplePlotValues.index(True)] != 'sizek': - # we don't ever want to default to sizek, because it's probably going to vary for most plots - # we'll require the user to explicitly request multiple plots on sizek if necessary - multiplePlots = plotvalues[multiplePlotValues.index(True)] - else: - # default to device if none of the options to plot have multiple values - multiplePlots = 'device' - - """ - assemble data for the graphs - """ - data.sort(key=lambda row: int(getattr(row, args.graphxaxis))) - - # choose scale for x axis - if args.xaxisscale == None: - # user didn't specify. autodetect - if int(getattr(data[len(data)-1], args.graphxaxis)) > 2000: # big numbers on x-axis - args.xaxisscale = 'log2' - elif int(getattr(data[len(data)-1], args.graphxaxis)) > 10000: # bigger numbers on x-axis - args.xaxisscale = 'log10' - else: # small numbers on x-axis - args.xaxisscale = 'linear' - - if args.xaxisscale == 'linear': - plotkwargs = {} - plottype = 'plot' - elif args.xaxisscale == 'log2': - plottype = 'semilogx' - plotkwargs = {'basex':2} - elif args.xaxisscale == 'log10': - plottype = 'semilogx' - plotkwargs = {'basex':10} - else: - print 'ERROR: invalid value for x-axis scale' - quit() - - plots = set(getattr(row, multiplePlots) for row in data) - - class DataForOnePlot: - def __init__(self, inlabel, inxdata, inydata): - self.label = inlabel - self.xdata = inxdata - self.ydata = inydata - - dataForAllPlots = [] - for plot in plots: - dataForThisPlot = itertools.ifilter( lambda x: getattr(x, multiplePlots) == plot, data) - dataForThisPlot = list(itertools.islice(dataForThisPlot, None)) - #if args.graphxaxis == 'problemsize': - # xdata = [int(row.x) * int(row.y) * int(row.z) * int(row.batchsize) for row in dataForThisPlot] - #else: - xdata = [getattr(row, args.graphxaxis) for row in dataForThisPlot] - ydata = [getattr(row, args.graphyaxis) for row in dataForThisPlot] - dataForAllPlots.append(DataForOnePlot(plot,xdata,ydata)) - - """ - assemble labels for the graph or use the user-specified ones - """ - if args.graphtitle: - # use the user selection - title = args.graphtitle - else: - # autogen a lovely title - title = 'Performance vs. ' + args.graphxaxis.capitalize() - - if args.xaxislabel: - # use the user selection - xaxislabel = args.xaxislabel - else: - # autogen a lovely x-axis label - if args.graphxaxis == 'cachesize': - units = '(bytes)' - else: - units = '(datapoints)' - - xaxislabel = args.graphxaxis + ' ' + units - - if args.yaxislabel: - # use the user selection - yaxislabel = args.yaxislabel - else: - # autogen a lovely y-axis label - if args.graphyaxis == 'gflops': - units = 'GFLOPS' - yaxislabel = 'Performance (' + units + ')' - - """ - display a pretty graph - """ - colors = ['k','y','m','c','r','b','g'] - - for thisPlot in dataForAllPlots: - getattr(pylab, plottype)(thisPlot.xdata, thisPlot.ydata, '{}.-'.format(colors.pop()), label=thisPlot.label, **plotkwargs) - - if len(dataForAllPlots) > 1: - pylab.legend(loc='best') - - pylab.title(title) - pylab.xlabel(xaxislabel) - pylab.ylabel(yaxislabel) - pylab.grid(True) - - if args.outputFilename == None: - # if no pdf output is requested, spit the graph to the screen . . . - pylab.show() - else: - # . . . otherwise, gimme gimme pdf - #pdf = PdfPages(args.outputFilename) - #pdf.savefig() - #pdf.close() - pylab.savefig(args.outputFilename,dpi=(1024/8)) -######### plotFromDataFile() Function to plot from data file ends ######### - - - -######## "main" program begins ##### -""" -define and parse parameters -""" -xaxisvalues = ['sizem','sizen','sizek'] -yaxisvalues = ['gflops'] -plotvalues = ['lda','ldb','ldc','sizek','device','label','order','transa','transb','function','library'] - - - -parser = argparse.ArgumentParser(description='Plot performance of the clblas\ - library. clblas.plotPerformance.py reads in data tables from clblas.\ - measurePerformance.py and plots their values') -fileOrDb = parser.add_mutually_exclusive_group(required=True) -fileOrDb.add_argument('-d', '--datafile', - dest='datafile', action='append', default=None, required=False, - help='indicate a file to use as input. must be in the format output by\ - clblas.measurePerformance.py. may be used multiple times to indicate\ - multiple input files. e.g., -d cypressOutput.txt -d caymanOutput.txt') -parser.add_argument('-x', '--x_axis', - dest='graphxaxis', default=None, choices=xaxisvalues, required=True, - help='indicate which value will be represented on the x axis. problemsize\ - is defined as x*y*z*batchsize') -parser.add_argument('-y', '--y_axis', - dest='graphyaxis', default='gflops', choices=yaxisvalues, - help='indicate which value will be represented on the y axis') -parser.add_argument('--plot', - dest='plot', default=None, choices=plotvalues, - help='indicate which of {} should be used to differentiate multiple plots.\ - this will be chosen automatically if not specified'.format(plotvalues)) -parser.add_argument('--title', - dest='graphtitle', default=None, - help='the desired title for the graph generated by this execution. if\ - GRAPHTITLE contains any spaces, it must be entered in \"double quotes\".\ - if this option is not specified, the title will be autogenerated') -parser.add_argument('--x_axis_label', - dest='xaxislabel', default=None, - help='the desired label for the graph\'s x-axis. if XAXISLABEL contains\ - any spaces, it must be entered in \"double quotes\". if this option\ - is not specified, the x-axis label will be autogenerated') -parser.add_argument('--x_axis_scale', - dest='xaxisscale', default=None, choices=['linear','log2','log10'], - help='the desired scale for the graph\'s x-axis. if nothing is specified,\ - it will be selected automatically') -parser.add_argument('--y_axis_label', - dest='yaxislabel', default=None, - help='the desired label for the graph\'s y-axis. if YAXISLABEL contains any\ - spaces, it must be entered in \"double quotes\". if this option is not\ - specified, the y-axis label will be autogenerated') -parser.add_argument('--outputfile', - dest='outputFilename', default=None, - help='name of the file to output graphs. Supported formats: emf, eps, pdf, png, ps, raw, rgba, svg, svgz.') - -args = parser.parse_args() - -if args.datafile != None: - plotFromDataFile() -else: - print "Atleast specify if you want to use text files or database for plotting graphs. Use -h or --help option for more details" - quit() - |