[SciPy-Dev] memory leak in LinearNDInterpolator?

[Aronne Merrelli]

Hello,

I am having a problem with the LinearNDInterpolator in SciPy, where it
looks like there is a memory leak. I have a simple example here, all I do
is setup a very small LinearNDInterpolator object and call the interpolator
many times in a loop:

https://gist.github.com/aronnem/707dfeec07b74888fb7390d828684184

Note that if the "pts_list" and "vals" are swapped with the integer
versions, there is no leak. Using the floats seems to produce the leak. I
have tried both conda and Canopy installed environments, they all seem to
have the same behavior. For example, here is the output I get with a scipy
1.1.0 compiled with Cython 0.28.5, numpy 1.13.3 on Mac OS X:

rss_used=         4 KB vms_used=         0 KB
rss_used=      2516 KB vms_used=      2560 KB
rss_used=      4836 KB vms_used=      5188 KB
rss_used=      6880 KB vms_used=      6664 KB
rss_used=      9408 KB vms_used=     10248 KB
rss_used=     11680 KB vms_used=     12076 KB
rss_used=     14356 KB vms_used=     15872 KB
rss_used=     16736 KB vms_used=     17792 KB
rss_used=     19416 KB vms_used=     20496 KB
rss_used=     22100 KB vms_used=     23472 KB


The only workaround I have found so far is to downgrade my numpy version to
1.11.3. So that seems to suggest it is a numpy problem; however this
function is implemented in cython, so I am not sure how to tell whether
this is a numpy, scipy, or cython problem.

Regards,
Aronne
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