Hi,
I'm new here but I'd like to weigh in a bit. My suggestion would be to make
the connection between python types and numpy types and cuda types very
clear in the documentation. There is some good information on there but I
think it's kind of hidden. I would definitely appreciate some best
On Thu, Jun 30, 2011 at 12:02 AM, Andreas Kloeckner
li...@informa.tiker.net wrote:
On Wed, 29 Jun 2011 15:21:13 -0400, Thomas Wiecki thomas_wie...@brown.edu
wrote:
As regards to parameter input checking, would it be possible to have a
switch for type-checking as an argument to ElementWise?
This is with the version from the trunk
(7804dc6d1b40b506b02a5f7a0b7bde8771f1446c).
import pycuda.driver as cuda
import pycuda.compiler
import pycuda.autoinit
import pycuda.gpuarray as gpuarray
from pycuda.elementwise import ElementwiseKernel
zero_kernel = ElementwiseKernel(
float *out,
On Wed, 29 Jun 2011 12:56:09 -0400, Thomas Wiecki thomas_wie...@brown.edu
wrote:
This is with the version from the trunk
(7804dc6d1b40b506b02a5f7a0b7bde8771f1446c).
import pycuda.driver as cuda
import pycuda.compiler
import pycuda.autoinit
import pycuda.gpuarray as gpuarray
from
Yes, that was indeed the problem. Works really nice now, getting speed
ups of up to ~5x.
As regards to parameter input checking, would it be possible to have a
switch for type-checking as an argument to ElementWise?
Thanks,
Thomas
On Wed, Jun 29, 2011 at 3:13 PM, Andreas Kloeckner
On Wed, 29 Jun 2011 15:21:13 -0400, Thomas Wiecki thomas_wie...@brown.edu
wrote:
Yes, that was indeed the problem. Works really nice now, getting speed
ups of up to ~5x.
As regards to parameter input checking, would it be possible to have a
switch for type-checking as an argument to
