Ok, thank you!
--
View this message in context:
http://pycuda.2962900.n2.nabble.com/pyCuda-question-about-using-efficiently-the-card-and-about-including-headers-or-libraries-tp7090397p7093096.html
Sent from the PyCuda mailing list archive at Nabble.com.
This is getting very weird. I went into the function with pdb now.
np.dtype('uint32') is in DTYPE_TO_NAME but for some reason it fails to
look it up:
KeyError: dtype('uint32')
On Wed, 14 Dec 2011 09:15:19 -0500, Thomas Wiecki thomas_wie...@brown.edu
wrote:
This is getting very weird. I went into the function with pdb now.
np.dtype('uint32') is in DTYPE_TO_NAME but for some reason it fails to
look it up:
KeyError: dtype('uint32')
1.5.1, the ubuntu oneiric default it seems:
http://packages.ubuntu.com/oneiric/python-numpy
On Wed, Dec 14, 2011 at 9:33 AM, Andreas Kloeckner
li...@informa.tiker.net wrote:
On Wed, 14 Dec 2011 09:15:19 -0500, Thomas Wiecki thomas_wie...@brown.edu
wrote:
This is getting very weird. I went
On Wed, 14 Dec 2011 09:15:19 -0500, Thomas Wiecki thomas_wie...@brown.edu
wrote:
This is getting very weird. I went into the function with pdb now.
np.dtype('uint32') is in DTYPE_TO_NAME but for some reason it fails to
look it up:
KeyError: dtype('uint32')
http://developer.nvidia.com/content/cuda-platform-source-release
___
PyCUDA mailing list
PyCUDA@tiker.net
http://lists.tiker.net/listinfo/pycuda
Also, what is missing from the docs in your opinion? Would you mind
providing a doc patch to add whatever you think is missing?
The docs for the XORWOWRandomNumberGenerator class only tell you how to
instantiate it; it doesn't cover any of the member functions or member
variables (for example,
The subset index seems to drop (or is exclusive of) the last value. This can
be confusing if you are using range() to generate the array of indices.
Instead of needing the traditional range(start,end+1), you need to use
range(start,end+2) as the subset_dot() and the range() routine are
Hi,
Although this is the PyCuda mailing list and my question is more related
to CodePy, I think I could find some clarifications here.
While reading about CodePy, I came across this sentence: In particular,
the code generation facilities work well in conjunction with PyCuda
[1]. So I had a