I've been working on a PyOpenCL program that will take in an OpenCL kernel (representing an image filter) and an image and apply said filter to generate an output image. The issue is that I need to make this program run on an image of any size.
I've written a similar program before with C# and OpenCL using the Cloo (http://sourceforge.net/projects/cloo/) framework, but I wanted to make something more portable (since the Cloo framework fails to run properly on Linux).
Now, in my C# implementation, I simply split the image up into chunks and ran the kernel on each chunk. I did this by handling the images as plain byte arrays in my kernel. However, the issue I'm having now is that I'm attempting to use the image2d_t datatype in my PyOpenCL implementation, and I'm not sure how to go about breaking the image into chunks and passing them to the kernel.
Does the image2d_t class add padding to the returned images (that I would need to post-process), or perhaps it supports some sort of automated methodology that would handle this for me?
Any resources that would point me in the right direction are greatly appreciated!
Edit: I figured I should mention that the reason why I want to do this is because I run into memory allocation exceptions with my current build (because the images are too large).
