uni-courses / snncompare

Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.
GNU Affero General Public License v3.0
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Boxplot run output #162

Closed a-t-0 closed 1 year ago

a-t-0 commented 1 year ago

7.224082946777344e-05 seconds

1/1 [runs] {'adaptation': {'redundancy': 2}, 'algorithm': {'MDSA': {'m_val': 1}}, 'graph_nr': 0, 'graph_size': 3, 'max_duration': None, 'radiation': {'neuron_death': 0.0}, 'seed': 7, 'simulator': 'nx', 'unique_id': '752982085123c331d81d5fddab7d2f1346d083a0f074f5cea25c0f860270aa10'} Execution speed of snncompare.Experiment_runner.Experiment_runner.perform_run_stage_1: 0.2919332981109619 seconds Execution speed of snncompare.Experiment_runner.perform_run_stage_2: 3.694549798965454 seconds Execution speed of snncompare.Experiment_runner.perform_run_stage_3: 5.841255187988281e-05 seconds visualising:adapted_snn_graph output_config:{'output_json_stages': [1, 2, 4], 'recreate_stages': [], 'export_types': [], 'hover_info': <snncompare.optional_config.Output_config.Hover_info object at 0x7eff93509870>, 'zoom': <snncompare.optional_config.Output_config.Zoom object at 0x7eff9350aa10>, 'extra_storing_config': <snncompare.optional_config.Output_config.Extra_storing_config object at 0x7eff9350a5f0>} i=0

Creating:graph_name=adapted_snn_graph t=0/9 Traceback (most recent call last): File "/home/name/miniconda/envs/snncompare/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, N

a-t-0 commented 1 year ago

Done.