Comments (4)
In pycuda_handler, can we do a check to see if int32_t is defined, and, if not, add this code to one of the kernel(s):
typedef int int32_t;
?
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Figured out where the int32_t's are originating: the misc module in scikit-cuda, lines 822-3. As a quick hack I changed those to ints, and now this works. Note sure if anything can be done within brainstorm to account for this. Probably not. Needless to say, I don't like having to hack another module to get this working...Windows users (which this problem will most likely affect) might have to make some changes to their CUDA setup so that int32_t is defined?
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scikit-cuda.misc appears to use int
in other kernels, but int32_t
in
this kernel. Perhaps this can be changed in scikit-cuda so that future
versions will not have this problem. I'm sure they would like improved
Windows compatibility. Perhaps you would like to submit a PR to them on
Github?
On 21 November 2015 at 23:02, Brian Thomas [email protected] wrote:
Figured out where the int32_t's are originating: the misc module in
scikit-cuda, lines 822-3. As a quick hack I changed those to ints, and now
this works. Note sure if anything can be done within brainstorm to account
for this. Probably not. Needless to say, I don't like having to hack
another module to get this working...Windows users (which this problem will
most likely affect) might have to make some changes to their CUDA setup so
that int32_t is defined?—
Reply to this email directly or view it on GitHub
#100 (comment).
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I will do so. Thanks
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