There's quite a barrier to being able to assist you with this.

Can you reduce the problem to a minimal example of a C implementation
and Python implementation (ideally calling the exact same kernel) that
manifests the problem you're having? It would be best if you just used a
toy kernel to do this that does barely anything.

Experience would suggest this will either point you yourself to the
correct solution or allows someone a much better chance of seeing the
problem and helping you.

Cheers,

Henry

On 03/02/16 16:29, Brian Paterni wrote:
> Re-sending this message, this time while subscribed to the list.
> Hopefully it makes it through this time.
> 
> On Fri, Jan 22, 2016 at 3:28 PM, Brian Paterni <[email protected]> wrote:
>> Hi,
>>
>> In short, I'm doing some research on OpenCL, and to possibly avoid the
>> verbosity of C or C++, I'm exploring my options with pyopencl. Further,
>> to get up to speed with OpenCL, I'm working through examples in
>> Heterogeneous Computing with OpenCL 2.0.
>>
>> One example in the book walks through computing a histogram of an image,
>> but while the example code provided (in C) works and produces the
>> expected output histogram, my attempt to translate the same program into
>> Python raises some question. the kernel runs and produces results that
>> resembles the reference histogram, only values are much, much larger
>> than expected.
>>
>> The code I'm working with is located at
>>
>> https://github.com/bpaterni/4800.research
>>
>> which contains 2 branches. The Python implementations are located in
>> branch 'pyopencl' whereas C implementations are located in master.
>>
>> I'm curious to know if I've misunderstood some aspect of pyopencl during
>> python reimplementation and would very much appreciate any help with
>> this issue I'm having.
>>
>> Thank You :)
> 
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