On Fri, Nov 19, 2010 at 7:42 PM, Keith Goodman <kwgood...@gmail.com> wrote:
> I should make a benchmark suite.
>> ny.benchit(verbose=False)
Nanny performance benchmark
Nanny 0.0.1dev
Numpy 1.4.1
Speed is numpy time divided by nanny time
NaN means all NaNs
Speed Test Shape dtype NaN?
6.6770 nansum(a, axis=-1) (500,500) int64
4.6612 nansum(a, axis=-1) (10000,) float64
9.0351 nansum(a, axis=-1) (500,500) int32
3.0746 nansum(a, axis=-1) (500,500) float64
11.5740 nansum(a, axis=-1) (10000,) int32
6.4484 nansum(a, axis=-1) (10000,) int64
51.3917 nansum(a, axis=-1) (500,500) float64 NaN
13.8692 nansum(a, axis=-1) (10000,) float64 NaN
6.5327 nanmax(a, axis=-1) (500,500) int64
8.8222 nanmax(a, axis=-1) (10000,) float64
0.2059 nanmax(a, axis=-1) (500,500) int32
6.9262 nanmax(a, axis=-1) (500,500) float64
5.0688 nanmax(a, axis=-1) (10000,) int32
6.5605 nanmax(a, axis=-1) (10000,) int64
48.4850 nanmax(a, axis=-1) (500,500) float64 NaN
14.6289 nanmax(a, axis=-1) (10000,) float64 NaN
You can also use the makefile to run the benchmark: make bench
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