Re: [ITK-users] Problems Using GPU Filters

Hi Andaharoo,

You may have identified a bug. I am also seeing local failures in the
regression tests for the referenced classes. I will investigate
further next week.

Thanks,
Matt

On Tue, Aug 1, 2017 at 6:23 PM, Andaharoo <[email protected]> wrote:
> I can't get the images to go from CPU to GPU on GPUMeanImageFilter,
> GPUBinaryThresholdImageFilter, and GPUDiscreteGaussianImageFilter. So I
> can't start my gpu pipeline with these filters. If I apply something like
> GPUGradientAnisotropicImageFilter (which does work) then I can apply the
> other filters confirming that it can go GPU to GPU but not CPU to GPU on
> those 3 filters. Do these 3 filters not support conversion?
>
> GPUInputImage::Pointer inPtr =
> dynamic_cast<GPUInputImage*>(this->ProcessObject::GetInput(0));
> inPtr was null when I debugged GPUMeanImageFilter. This line also doesn't
> make sense in terms of using an Image since it would just return null if you
> gave it an Image that wasn't allocated as a GPUImage. Unless the cpu image
> gets converted to a gpu image elsewhere beforehand?
>
> It seems as though only GPUInPlaceImageFilters work with CPU - GPU
> conversion for me? I can't quite understand the GPUInPlaceImageFilters
> source yet so I'm not so sure why GPUGradientAnisotropicImageFilter works.
> They are, of course, different in terms of how they manage memory.
>
>
>
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