3 """Plot the performance of different variants of one routine versus alignment.
11 def plot(records, bytes, function):
12 records = [x for x in records if x.bytes==bytes and x.function==function]
14 variants = libplot.unique(records, 'variant', prefer='this')
15 alignments = libplot.unique(records, ('src_alignment', 'dst_alignment'))
17 X = pylab.arange(len(alignments))
18 width = 1.0/(len(variants)+1)
20 colours = libplot.make_colours()
22 pylab.figure(1).set_size_inches((16, 12))
25 for i, variant in enumerate(variants):
28 for alignment in alignments:
29 matches = [x for x in records if x.variant==variant and x.src_alignment==alignment[0] and x.dst_alignment==alignment[1]]
32 vals = [match.bytes*match.loops/match.elapsed/(1024*1024) for
34 mean = sum(vals)/len(vals)
39 pylab.bar(X+i*width, heights, width, color=colours.next(), label=variant)
43 if libplot.alignments_equal(alignments):
44 alignment_labels = ["%s" % x[0] for x in alignments]
46 alignment_labels = ["%s:%s" % (x[0], x[1]) for x in alignments]
47 axes.set_xticklabels(alignment_labels)
48 axes.set_xticks(X + 0.5)
50 pylab.title('Performance of different variants of %(function)s for %(bytes)d byte blocks' % locals())
51 pylab.xlabel('Alignment')
52 pylab.ylabel('Rate (MB/s)')
53 pylab.legend(loc='lower right', ncol=3)
55 pylab.savefig('alignment-%(function)s-%(bytes)d.png' % locals(), dpi=72)
58 records = libplot.parse()
60 for function in libplot.unique(records, 'function'):
61 for bytes in libplot.unique(records, 'bytes'):
62 plot(records, bytes, function)
66 if __name__ == '__main__':