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Message #17572
[Bug 521507] Re: Memory leak in Python Expression interface
Here's another solver that leaks. It doesn't use Expressions.
from dolfin import *
class MyProblem(NonlinearProblem):
def __init__(self, a, L):
NonlinearProblem.__init__(self)
self.L = L
self.a = a
def F(self, b, x):
assemble(self.L, tensor=b)
def J(self, A, x):
assemble(self.a, tensor=A)
mesh = UnitSquare(8, 8, "crossed")
BDM = FunctionSpace(mesh, "Brezzi-Douglas-Marini", 1)
DG = FunctionSpace(mesh, "Discontinuous Lagrange", 0)
mixed_space = MixedFunctionSpace([BDM, DG, DG])
V = TestFunction(mixed_space)
dU = TrialFunction(mixed_space)
U = Function(mixed_space)
U0 = Function(mixed_space)
v, q, r = split(V)
u, p, s = split(U)
u0, p0, s0 = split(U0)
L = inner(v, u)*dx - div(v)*p*dx + v[0]*dx + q*div(u)*dx + r*(s - s0)*dx
a = derivative(L, U, dU)
for level0 in xrange(1000):
for level in xrange(10):
A = Matrix();
b = Vector();
# This does not appear to leak
problem = MyProblem(a, L)
problem.F(b, U.vector())
problem.J(A, U.vector())
# This does leak
#solver = NewtonSolver()
#solver.solve(problem, U.vector())
# This does leak (goes through call-back to Python)
lu = LUSolver()
lu.solve(A, U.vector(), b)
U.vector().zero()
print "End inner loop"
--
Memory leak in Python Expression interface
https://bugs.launchpad.net/bugs/521507
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Status in DOLFIN: New
Bug description:
The below code leads to a memory leak (I see a leak over about 2MB over 90s). The leak is related to the Expression. If I comment out the call to
eval(Array<double>&, const Array<double>&);
from
dolfin::GenericFunction::evaluate(double*, const double*, const ufc::cell) const
I don't detect a leak.
------
from dolfin import *
parameters["form_compiler"]["cpp_optimize"] = True
parameters["form_compiler"]["optimize"] = True
class MyExpression(Expression):
def eval(self, values, x):
if x[0] < DOLFIN_EPS:
values[0] = 1.0
mesh = UnitSquare(32, 32)
for t in xrange(20000):
for level in xrange(100):
V = FunctionSpace(mesh, "CG", 1)
v = TestFunction(V)
u = Function(V)
u0 = Function(V)
f = MyExpression(degree=1)
L = v*(u-u0)*dx + v*f*ds
b = assemble(L)
print "----"
References