[Numpy-discussion] array of random numbers fails to construct
Jaime Fernández del Río
jaime.frio at gmail.com
Sun Dec 6 16:12:36 EST 2015
On Sun, Dec 6, 2015 at 10:07 PM, Matthew Brett <matthew.brett at gmail.com>
wrote:
> Hi,
>
> On Sun, Dec 6, 2015 at 12:39 PM, DAVID SAROFF (RIT Student)
> <dps7802 at rit.edu> wrote:
> > This works. A big array of eight bit random numbers is constructed:
> >
> > import numpy as np
> >
> > spectrumArray = np.random.randint(0,255, (2**20,2**12)).astype(np.uint8)
> >
> >
> >
> > This fails. It eats up all 64GBy of RAM:
> >
> > spectrumArray = np.random.randint(0,255, (2**21,2**12)).astype(np.uint8)
> >
> >
> > The difference is a factor of two, 2**21 rather than 2**20, for the
> extent
> > of the first axis.
>
> I think what's happening is that this:
>
> np.random.randint(0,255, (2**21,2**12))
>
> creates 2**33 random integers, which (on 64-bit) will be of dtype
> int64 = 8 bytes, giving total size 2 ** (21 + 12 + 6) = 2 ** 39 bytes
> = 512 GiB.
>
8 is only 2**3, so it is "just" 64 GiB, which also explains why the half
sized array does work, but yes, that is most likely what's happening.
Jaime
>
> Cheers,
>
> Matthew
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