How can I solve memory leak in fft?
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When using fft function many times with different input size it causes memory leak (as seen in the physical memory).
For example, the following matlab code :
for i=1:1000, y=fft([1:i*1000]); end
MATLAB Version: 7.14.0.739 (R2012a)
How can I solve it?
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Steve Eddins
le 28 Jan 2013
It is not an actual memory leak. MATLAB does cache (save for reuse) tables of trigonometric values for use in subsequent calls to FFT with vectors of the same length. (There is a significant performance benefit in doing so.) However, this cache does have a finite size; it will not continue to grow indefinitely.
4 commentaires
John D'Errico
le 9 Déc 2014
Modifié(e) : John D'Errico
le 9 Déc 2014
This would suggest the value of a 'nocache' option in fft.
Noah Prisament
le 7 Juin 2023
To clear this cache, you can utilize the "fftw" command which is used to modify the settings and behavior of the "fft" function. You can execute the following commands in your scripts or in the command window to clear the cache:
fftw('swisdom', []);
fftw('dwisdom', []);
These will clear the single precision and the double precision caches respectively. Another important command to minimize the memory usage of the "fft" function is:
fftw('planner','estimate');
as the other planner options employ more memory in order to improve their precision. More information on the "fftw" command can be found here.
These uses of "fftw" should help with limiting the size of the cache and releasing it periodically.
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