Memory leak when interfacing between Matlab and python
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Hi. I have found a problem when I try to make communication between Matlab and python (using optimisation in matlab). I have built a model in Matlab and tried to use Scipy to optimise the parameters in the model. Therefore, I wrote an objective function in python and use "matlab.engine" to interface between the two. However, I have found that the simulation time in each iteration increases when I call Matlab engine.
With the code below, the simulation time keeps increasing after finishing eacg interation.
eng = matlab.engine.start_matlab()
def opt_pf(x):
y = eng.matlab_model(excel_path, x, nargout=0)
return y
gc.collect()
### Run optimisation
from scipy.optimize import minimize
res = minimize(opt_pf, x0, method='SLSQP', constraints=[eq_cons], options={'ftol': 1e-09, 'disp': True}, bounds=bounds)
I think that the optimizer canno't clear the cache from matlab.engine in each iteration.
9 个评论
Shisui Uchiha
2023-9-1
编辑:Walter Roberson
2023-11-24
Øyvind
2023-11-24
I have experienced similar issues (Matlab R2023b on Windows).
For me, it seems like the problem is mostly if running in ExecutionMode="OutOfProcess", while "InProcess" is better.
With OutOfProcess execution mode, I see that there is a process called matlabpyhost which ends up using tons of memory (as seen in Task Manager).
So to do this, use something like:
pyenv(ExecutionMode="OutOfProcess")
(Obviously, the InProcess vs OutOfProcess also affects other things, see https://se.mathworks.com/help/matlab/ref/pyenv.html )
回答(3 个)
Clark
2023-12-28
Me too! HUGE leaks... Sometimes swelling to 40 GB, when expecting maybe only 2GB
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