We have installed Lumerical on a cluster, and I have used it to perform some more computationally expensive simulations. I use the following to run some scripts, and it works perfectly<\/p>\n
time xvfb-run fdtd-solutions -nw -run somescript.lsf<\/p>\n
Additionally I am able to run python codes using the API with the following <\/p>\n
time xvfb-run “\/home\/opt\/Lumerical\/2021-r1\/python-3.6.8rc1\/bin\/python” somepythonscript.py<\/p>\n
where test.py sets up an FDTD simulation, runs it, and saves the result. This also works fine!<\/p>\n
However<\/strong>, recently I have tried to run some topology optimizations. I can run them perfectly on my laptop, but when I run the same file in the cluster, I get the following error:<\/p>\n srun: job 26320520 has been allocated resources I have not been able to figure out what is the problem. This is how I run the code:<\/p>\n time xvfb-run “\/home\/opt\/Lumerical\/2021-r1\/python-3.6.8rc1\/bin\/python” topology_runsim.py<\/p>\n Any idea what could be causing the error?<\/p>\n","protected":false},"template":"","class_list":["post-343648","topic","type-topic","status-closed","hentry","topic-tag-fdtd","topic-tag-inverse-design-2","topic-tag-lumapi-2"],"aioseo_notices":[],"acf":[],"custom_fields":[{"0":{"_bbp_subscription":["249969","4274","707"],"_bbp_author_ip":["23.206.193.146"]," _bbp_last_reply_id":["0"]," _bbp_likes_count":["0"],"_btv_view_count":["1722"],"_bbp_topic_status":["unanswered"],"_edit_lock":["1704722309:175686"],"_bbp_topic_id":["343648"],"_bbp_forum_id":["27833"],"_bbp_engagement":["707","4274","249969"],"_bbp_voice_count":["3"],"_bbp_reply_count":["16"],"_bbp_last_reply_id":["354493"],"_bbp_last_active_id":["354493"],"_bbp_last_active_time":["2024-02-29 09:55:25"]},"test":"samu-pekka-ojanentuni-fi"}],"_links":{"self":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics\/343648","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics"}],"about":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/types\/topic"}],"version-history":[{"count":0,"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics\/343648\/revisions"}],"wp:attachment":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/media?parent=343648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
CONFIGURATION FILE {‘root’: ‘\/home\/opt\/Lumerical\/2021-r1\/api\/python’, ‘lumapi’: ‘\/home\/opt\/Lumerical\/2021-r1\/api\/python’}
Initializing super optimization
Wavelength range of source object will be superseded by the global settings.
Wavelength range of source object will be superseded by the global settings.
Wavelength range of source object will be superseded by the global settings.
Wavelength range of source object will be superseded by the global settings.
Wavelength range of source object will be superseded by the global settings.
Making adjoint solves
Traceback (most recent call last):
File “topology_runsim.py”, line 82, in <module>
runSim(params, eps_bg, eps_wg, x_pos, y_pos, size_x*1e-9, size_y*1e-9, filter_R, working_dir=working_dir, beta=1)
File “topology_runsim.py”, line 61, in runSim
opt.run(working_dir = working_dir)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimization.py”, line 351, in run
self.initialize(working_dir=working_dir)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimization.py”, line 247, in initialize
plotting_function=plotting_function)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimizers\/optimizer.py”, line 82, in initialize
self.reset_start_params(start_params, self.scale_initial_gradient_to)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimizers\/optimizer.py”, line 90, in reset_start_params
self.auto_detect_scaling(scale_initial_gradient_to)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimizers\/optimizer.py”, line 97, in auto_detect_scaling
gradients = self.callable_jac(params)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimizers\/minimizer.py”, line 34, in callable_jac_local
fom_gradients = callable_jac(params_over_scaling_factor) \/ self.scaling_factor
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimization.py”, line 170, in callable_jac
nested_job_list = pool.map(func = make_adjoint_solves, iterable = enumerate(self.optimizations))
File “\/home\/opt\/Lumerical\/2021-r1\/python-3.6.8rc1\/lib\/python3.6\/multiprocessing\/pool.py”, line 266, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File “\/home\/opt\/Lumerical\/2021-r1\/python-3.6.8rc1\/lib\/python3.6\/multiprocessing\/pool.py”, line 644, in get
raise self._value
File “\/home\/opt\/Lumerical\/2021-r1\/python-3.6.8rc1\/lib\/python3.6\/multiprocessing\/pool.py”, line 119, in worker
result = (True, func(*args, **kwds))
File “\/home\/opt\/Lumerical\/2021-r1\/python-3.6.8rc1\/lib\/python3.6\/multiprocessing\/pool.py”, line 44, in mapstar
return list(map(*args))
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimization.py”, line 163, in make_adjoint_solves
forward_job_name = optimization.make_forward_sim(params, iter)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/optimization.py”, line 589, in make_forward_sim
self.geometry.add_geo(self.sim, params = None, only_update = True)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumopt\/geometries\/topology.py”, line 391, in add_geo
fdtd.eval(script)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumapi.py”, line 1184, in eval
evalScript(self.handle, code)
File “\/home\/opt\/Lumerical\/2021-r1\/api\/python\/lumapi.py”, line 248, in evalScript
raise LumApiError(“Failed to evaluate code”)
lumapi.LumApiError: ‘Failed to evaluate code’<\/p>\n