Re: [ITK-users] Problems Using GPU Filters

Following up, I did not have a chance to fully address this. Progress
is started here:

  http://review.source.kitware.com/#/q/topic:gpu-mean-filters

The GPUMeanImageFilter tests are failing:

  itkGPUMeanImageFilterTest2D
  itkGPUMeanImageFilterTest3D

I will take another look in a few weeks.

Thanks,
Matt

On Fri, Aug 4, 2017 at 9:38 AM, Matt McCormick
<[email protected]> wrote:
> 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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>> Sent from the ITK Insight Users mailing list archive at Nabble.com.
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