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debug memory leak in wave #845

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debug memory leak in wave #845

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30 changes: 17 additions & 13 deletions examples/wave.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@

from pytools.obj_array import flat_obj_array

from grudge.shortcuts import make_visualizer
# from grudge.shortcuts import make_visualizer
import grudge.op as op

from mirgecom.discretization import create_discretization_collection
Expand Down Expand Up @@ -124,10 +124,11 @@ def main(actx_class, use_profiling=False, use_logmgr=False, lazy: bool = False):
logmgr_add_device_memory_usage(logmgr, queue)
logmgr_add_mempool_usage(logmgr, alloc)

logmgr.add_watches(["step.max", "t_step.max", "t_log.max"])
logmgr.add_watches(["step.max"])

try:
logmgr.add_watches(["memory_usage_python.max", "memory_usage_gpu.max"])
logmgr.add_watches(["memory_usage_mempool_managed.max",
"memory_usage_mempool_active.max"])
except KeyError:
pass

Expand All @@ -137,33 +138,36 @@ def main(actx_class, use_profiling=False, use_logmgr=False, lazy: bool = False):
vis_timer = IntervalTimer("t_vis", "Time spent visualizing")
logmgr.add_quantity(vis_timer)

vis = make_visualizer(dcoll)
# vis = make_visualizer(dcoll)

def rhs(t, w):
return wave_operator(dcoll, c=wave_speed, w=w)

compiled_rhs = actx.compile(rhs)
fields = force_evaluation(actx, fields)

import gc

t = 0
t_final = 1
istep = 0
while t < t_final:
if logmgr:
logmgr.tick_before()

gc.collect()

fields = rk4_step(fields, t, dt, compiled_rhs)
fields = force_evaluation(actx, fields)

if istep % 10 == 0:
if use_profiling:
print(actx.tabulate_profiling_data())
print(istep, t, actx.to_numpy(op.norm(dcoll, fields[0], 2)))
vis.write_vtk_file("fld-wave-%04d.vtu" % istep,
[
("u", fields[0]),
("v", fields[1:]),
], overwrite=True)
if istep == 10:
gc.set_debug(gc.DEBUG_SAVEALL)
gc.collect()
gc.set_debug(0)
obj_list = gc.garbage

for obj in obj_list:
print(type(obj))

t += dt
istep += 1
Expand Down