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As the title suggested, I compare the results of vkFFT and numpy/scipy FFT under C2C convolution with zero padding setting (Note I used the normal FFT + elementwise multiplication + IFFT, rather than performConvolution mode)
The results are shown below, it can be seen vkFFT works as expectation in 1D but fails completely in 2-D case.
Likely a potential bug, since it works in 1-D case, though I am not sure if my application in 2-D is set correctly.
As the title suggested, I compare the results of vkFFT and numpy/scipy FFT under C2C convolution with zero padding setting (Note I used the normal FFT + elementwise multiplication + IFFT, rather than performConvolution mode)
The results are shown below, it can be seen vkFFT works as expectation in 1D but fails completely in 2-D case.
Likely a potential bug, since it works in 1-D case, though I am not sure if my application in 2-D is set correctly.
My test code is available in
https://github.com/Vandermode/pyvkfft/blob/3d054f27272c2529a8d45798709a2ae544bdfb8c/examples/test_fft_conv.py
(need to install my adapted version of pyvkfft to support performZeropadding mode in python
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