Re: [PyCUDA] How can I emulated numpy-style index arrays?

2018-07-24 Thread Rasmus Diederichsen
probably wouldn't be hard to modify __getitem__ to use > take/multi_take. > > -syam > > From: PyCUDA on behalf of Rasmus Diederichsen > > Sent: Tuesday, July 24, 2018 5:24:40 AM > To: pycuda@tiker.net > Subject: [PyCUDA] How can I emulated numpy-style index arrays? &g

Re: [PyCUDA] How can I emulated numpy-style index arrays?

2018-07-24 Thread Syam Gadde
on behalf of Rasmus Diederichsen Sent: Tuesday, July 24, 2018 5:24:40 AM To: pycuda@tiker.net Subject: [PyCUDA] How can I emulated numpy-style index arrays? Good day, list. In numpy, one can use arrays of ints to select a non-contiguous subarray, but the same does not work in Pycuda (only slices

[PyCUDA] How can I emulated numpy-style index arrays?

2018-07-24 Thread Rasmus Diederichsen
Good day, list. In numpy, one can use arrays of ints to select a non-contiguous subarray, but the same does not work in Pycuda (only slices, ellipses and ints). Is there a straightforward way to emulate this behaviour (maybe use some memcpy call to extract the relevant data)? Cheers, Rasmus