[PyOpenCL] Memory leaks after each kernel execution

[Alexander Kiselyov]

I found a frustrating problem in pyopencl - after each kernel execution  
host memory consumption increases by approx 1.5 MB. Taking  into account  
program workflow (modelling some amount of iterations on card, finishing  
kernel, reading data via enqueue_copy, writing it to file, then starting  
kernel again), I run out of my 4 GB of RAM after some thousands of such  
calls.

In a previous project which was written on C++ I solved this problem this  
way. An event object was dynamically created and passed to  
enqueueNDRangeKernel(). After reading data from GPU event object was  
deleted. Obviously it's impossible to use this method in Python.

Also it's worth to notice that the memory leak occures when using both CPU  
or GPU. I'm using Intel CPU and nVidia GPU.

What can be done to fix the problem?