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Diffstat (limited to 'tools/profiling/microbenchmarks/speedup.py')
-rw-r--r-- | tools/profiling/microbenchmarks/speedup.py | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/tools/profiling/microbenchmarks/speedup.py b/tools/profiling/microbenchmarks/speedup.py new file mode 100644 index 0000000000..8af0066c9d --- /dev/null +++ b/tools/profiling/microbenchmarks/speedup.py @@ -0,0 +1,67 @@ +# Copyright 2017, Google Inc. +# All rights reserved. +# +# Redistribution and use in source and binary forms, with or without +# modification, are permitted provided that the following conditions are +# met: +# +# * Redistributions of source code must retain the above copyright +# notice, this list of conditions and the following disclaimer. +# * Redistributions in binary form must reproduce the above +# copyright notice, this list of conditions and the following disclaimer +# in the documentation and/or other materials provided with the +# distribution. +# * Neither the name of Google Inc. nor the names of its +# contributors may be used to endorse or promote products derived from +# this software without specific prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +from scipy import stats +import math + +_THRESHOLD = 1e-10 + +def scale(a, mul): + return [x*mul for x in a] + +def cmp(a, b): + return stats.ttest_ind(a, b) + +def speedup(new, old): + s0, p0 = cmp(new, old) + if math.isnan(p0): return 0 + if s0 == 0: return 0 + if p0 > _THRESHOLD: return 0 + if s0 < 0: + pct = 1 + while pct < 101: + sp, pp = cmp(new, scale(old, 1 - pct/100.0)) + if sp > 0: break + if pp > _THRESHOLD: break + pct += 1 + return -(pct - 1) + else: + pct = 1 + while pct < 100000: + sp, pp = cmp(new, scale(old, 1 + pct/100.0)) + if sp < 0: break + if pp > _THRESHOLD: break + pct += 1 + return pct - 1 + +if __name__ == "__main__": + new=[66034560.0, 126765693.0, 99074674.0, 98588433.0, 96731372.0, 110179725.0, 103802110.0, 101139800.0, 102357205.0, 99016353.0, 98840824.0, 99585632.0, 98791720.0, 96171521.0, 95327098.0, 95629704.0, 98209772.0, 99779411.0, 100182488.0, 98354192.0, 99644781.0, 98546709.0, 99019176.0, 99543014.0, 99077269.0, 98046601.0, 99319039.0, 98542572.0, 98886614.0, 72560968.0] + old=[60423464.0, 71249570.0, 73213089.0, 73200055.0, 72911768.0, 72347798.0, 72494672.0, 72756976.0, 72116565.0, 71541342.0, 73442538.0, 74817383.0, 73007780.0, 72499062.0, 72404945.0, 71843504.0, 73245405.0, 72778304.0, 74004519.0, 73694464.0, 72919931.0, 72955481.0, 71583857.0, 71350467.0, 71836817.0, 70064115.0, 70355345.0, 72516202.0, 71716777.0, 71532266.0] + print speedup(new, old) + print speedup(old, new) |