Dear all,
I'm encountering the following error
python: /home/zbarni/software/packages/nest/znest/nestkernel/model_manager.h:296: nest::Model* nest::ModelManager::get_node_model(nest::index) const: Assertion `m < node_models_.size()' failed.
when using the following code:
nest.SetKernelStatus({'total_num_virtual_procs':16, 'local_num_threads':16}) nest.Install('my_neuron_module')
for iin range(16): nest.CopyModel('MyNeuron', f'MyNeuron_{i}')
neurons = nest.Create('MyNeuron_0', 2) nest.Connect(neurons, neurons)
The script uses a neuron model that I wrote in C++ and is loaded without errors. The error is thrown upon nest.Connect(), and goes away if I create the neurons using `MyNeuron` and not `MyNeuron_x` (copied) or if the #vp and #threads is 1. I've used the model with NEST 2.20.0 without problems, but I'd like to port the code to the latest version. Maybe I'm just missing something new functionality/API related to CopyModel and multiprocessing - have there been any critical changes in the model requirements?
Any help would be greatly appreciated.
Barni
Dear Barna,
sorry, this somehow slipped our attention for way too long.
Can you please check if the code in https://github.com/nest/nest-simulator/pull/2379 solves the problem for you?
Cheers, Jochen!
On 19.02.22 01:32, Barna Zajzon wrote:
Dear all,
I'm encountering the following error
python: /home/zbarni/software/packages/nest/znest/nestkernel/model_manager.h:296: nest::Model* nest::ModelManager::get_node_model(nest::index) const: Assertion `m < node_models_.size()' failed.
when using the following code:
nest.SetKernelStatus({'total_num_virtual_procs': 16, 'local_num_threads': 16}) nest.Install('my_neuron_module')
for i in range(16): nest.CopyModel('MyNeuron', f'MyNeuron_{i}')
neurons = nest.Create('MyNeuron_0', 2) nest.Connect(neurons, neurons)
The script uses a neuron model that I wrote in C++ and is loaded without errors. The error is thrown upon nest.Connect(), and goes away if I create the neurons using `MyNeuron` and not `MyNeuron_x` (copied) or if the #vp and #threads is 1. I've used the model with NEST 2.20.0 without problems, but I'd like to port the code to the latest version. Maybe I'm just missing something new functionality/API related to CopyModel and multiprocessing - have there been any critical changes in the model requirements?
Any help would be greatly appreciated.
Barni
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-- Dr. Jochen Martin Eppler Phone: +49(2461)61-96653 ---------------------------------- Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation
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Dear all!
The problem reported below is finally gone due to the merge of https://github.com/nest/nest-simulator/pull/2379.
Happy model copying ;-) Jochen!
On 09.05.22 01:35, Barna Zajzon wrote:
Hi Jochen,
the changes in the PR do solve the problem, thanks so much! Not sure whether the response should've gone the the whole mailing list, so just replying to you.
Best, Barna
On 5/4/22 2:13 PM, Jochen Martin Eppler wrote:
Dear Barna,
sorry, this somehow slipped our attention for way too long.
Can you please check if the code in https://github.com/nest/nest-simulator/pull/2379 solves the problem for you?
Cheers, Jochen!
On 19.02.22 01:32, Barna Zajzon wrote:
Dear all,
I'm encountering the following error
python: /home/zbarni/software/packages/nest/znest/nestkernel/model_manager.h:296: nest::Model* nest::ModelManager::get_node_model(nest::index) const: Assertion `m < node_models_.size()' failed.
when using the following code:
nest.SetKernelStatus({'total_num_virtual_procs': 16, 'local_num_threads': 16}) nest.Install('my_neuron_module')
for i in range(16): nest.CopyModel('MyNeuron', f'MyNeuron_{i}')
neurons = nest.Create('MyNeuron_0', 2) nest.Connect(neurons, neurons)
The script uses a neuron model that I wrote in C++ and is loaded without errors. The error is thrown upon nest.Connect(), and goes away if I create the neurons using `MyNeuron` and not `MyNeuron_x` (copied) or if the #vp and #threads is 1. I've used the model with NEST 2.20.0 without problems, but I'd like to port the code to the latest version. Maybe I'm just missing something new functionality/API related to CopyModel and multiprocessing - have there been any critical changes in the model requirements?
Any help would be greatly appreciated.
Barni
Barna Zajzon PhD Candidate
Computation in Neural Circuits Group Institute of Neuroscience and Medicine (INM-6) Institute for Advanced Simulation (IAS-6) JARA Institute Brain Structure-Function Relationships (INM-10) Jülich Research Centre and JARA 52425 Jülich, Germany http://www.fz-juelich.de/inm/inm-6
-- Dr. Jochen Martin Eppler Phone: +49(2461)61-96653 ---------------------------------- Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation
------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------
-
Barna Zajzon -
Jochen Martin Eppler