[Numpy-discussion] type of matrixmultiply result
Todd Miller
jmiller at stsci.edu
Thu Jun 24 06:39:08 EDT 2004
On Thu, 2004-06-24 at 06:14, Curzio Basso wrote:
> Hi.
>
> I noticed that when multiplying two matrices of type Float32, the result
> is Float64:
>
> -----------------------------------------
> In [103]: a=NA.ones((2,2), NA.Float32)
>
> In [104]: b=NA.ones((2,2), NA.Float32)
>
> In [105]: c=NA.matrixmultiply(a,b)
>
> In [106]: c.type()
> Out[106]: Float64
> -----------------------------------------
>
> Since the matrix I'm going to multiply in practice are quite big, I'd
> like to do the operation in Float32. Otherwise this is what I get:
>
> Traceback (most recent call last):
> File "/home/basso/work/python/port/apps/pca-heads.py", line 141, in ?
> pc = NA.array(NA.matrixmultiply(cent, c), NA.Float32)
> File "/home/basso/usr//lib/python/numarray/numarraycore.py", line
> 1150, in dot return ufunc.innerproduct(array1, _gen.swapaxes(array2,
> -1, -2))
> File "/home/basso/usr//lib/python/numarray/ufunc.py", line 2047, in
> innerproduct
> r = a.__class__(shape=adots+bdots, type=rtype)
> MemoryError
>
> Any suggestion (apart from doing the operation one column at a time)?
>
I modified dot() and innerproduct() this morning to return Float32 and
Complex32 for like inputs. This is in CVS now. numarray-1.0 is
dragging out, but will nevertheless be released relatively soon.
I'm curious about what your array dimensions are. When I implemented
matrixmuliply for numarray, I was operating under the assumption that
no one would be multiplying truly huge arrays because it's an O(N^3)
algorithm.
Regards,
Todd
> thanks
>
>
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--
Todd Miller <jmiller at stsci.edu>
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