Hi,
I have been using Python for .Net quite successfully to access an I/O
library that allows me to perform some numerical calculations in Numpy.
This library primarily requires the data to be fed back as Single Arrays.
However when I perform many conversions from numpy arrays (or even just
lists) to Single[] I am experiencing a memory leak that eventually causes a
crash.
The following distills the problem. By switching between the two different
Array types (Single & Double) the leak is controlled so it would seem there
is some issues with Single. It does not appear to matter whether change the
dtype of the numpy array to float32. I have also tried Array.ConvertAll but
the same problem arrises.
import numpy as np
import clr
from System import Array, Single, Double
N = 100000
M = 1000
for i in range(N):
# Numpy calculations
A = np.random.random( M )
# Convert to single array - creates memory leak
sgl_arry = Array[Single](A)
# Convert to double array - does NOT create memory leak
#dbl_arry = Array[Double](A)
# call library requiring Single[]
# ....
Any help would be appreciated.
Thanks,
James
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