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VkFFT error code handling #40

@tbirdso

Description

@tbirdso

Exceptions thrown by ITK VkFFT classes are disruptive to pipeline flow and difficult to read. For example, from Python benchmarking on BIL workshop2 node:

Experiment   Image Len (px)     Volume (px)     CPU FFT Time (s)        GPU FFT Time(s) Speedup
         0                 10   1.00e+03                0.000204        0.320318        -156668.8%
         1                 30   2.70e+04                0.001416        0.159839        -11186.4%
         2                100   1.00e+06                0.042245        0.153889        -264.3%
         3                200   8.00e+06                0.450544        0.824002        -82.9%
         4                300   2.70e+07                1.304689        0.294664        77.4%
         5                600   2.16e+08                12.178864       1.481467        87.8%
         6                800   5.12e+08                44.749890       3.230387        92.8%
         7               1000   1.00e+09                59.368654       6.215513        89.5%
         8               1200   1.73e+09                123.027794      10.488541       91.5%
Traceback (most recent call last):
  File "/bil/users/tbirdso/vkfft/benchmark.py", line 42, in <module>
    vk_interval = run_fft(vk_type, image_size)
  File "/bil/users/tbirdso/vkfft/benchmark.py", line 28, in run_fft
    return benchmark_fft(fft_filter)
  File "/bil/users/tbirdso/vkfft/benchmark.py", line 20, in benchmark_fft
    itk_fft_filter.Update()
RuntimeError: ../../../include/itkVkForwardFFTImageFilter.hxx:100:
ITK ERROR: VkFFT third-party library failed with error code 4039.

Proposals:

  1. Investigate whether there is a better way to handle ITK filter failures. (The answer may be just using try/catch blocks in the C++ or Python calling script, but would be good to research).
  2. Translate VkFFT error codes into human-readable errors inline rather than require consulting the user manual. May involve contributions back to VkFFT.

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