Hi, Observing following performance: In []: m= 1e5 In []: n= 1e2 In []: o= ones(n) In []: M= randn(m, n) In []: timeit M.sum(1) 10 loops, best of 3: 38.3 ms per loop In []: timeit dot(M, o) 10 loops, best of 3: 21.1 ms per loop
In []: m= 1e2 In []: n= 1e5 In []: o= ones(n) In []: M= randn(m, n) In []: timeit M.sum(1) 100 loops, best of 3: 18.3 ms per loop In []: timeit dot(M, o) 10 loops, best of 3: 21.2 ms per loop One would expect sum to outperform dot with a clear marginal. Does there exixts any 'tricks' to increase the performance of sum? In []: sys.version Out[]: '2.7.1 (r271:86832, Nov 27 2010, 18:30:46) [MSC v.1500 32 bit (Intel)]' # installed binaries from http://python.org/ In []: np.version.version Out[]: '1.5.1' # installed binaries from http://scipy.org/ Regards, eat
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