speedup numpy ufuncs
Robert Kern
kern at caltech.edu
Wed Jun 21 19:47:12 EDT 2000
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Wed Jun 21 19:47:12 EDT 2000
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Pete Shinners wrote: > > i've been doing some simplish image processing > stuff with numpy and a thought occured to me about > a possible speedup. > > if i have 4 or 5 arrays i want to add together, > the fastest way i've found to do this is by > calling the add ufunc many times, specifying an > output argument. > (this gets rid of extra temporary arrays) > > array1 = array2 = array3 = array4 = arange(100) > add(array1, array2, array1) > add(array1, array3, array1) > add(array1, array4, array1) > > i was wondering if there was a way to add these all > in one pass? > addmany(array1, array2, array3, array4, array1) This is where you get to the really cool part of ufuncs. ufuncs have methods. You want the "reduce" method. new_array = add.reduce([array1, array2, array3, array4]) You make a single new array. I don't believe there is a way to put the results into an old array. [snip] -- Robert Kern kern at caltech.edu "In the fields of hell where the grass grows high Are the graves of dreams allowed to die." -- Richard Harter
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