def do_all_constraint(self):
synfire_run = SynfireRunner()
synfire_run.do_run(n_neurons,
neurons_per_core=neurons_per_core,
delay=delay,
run_times=[runtime],
placement_constraint=placement_constraint,
record=True,
record_7=True,
record_v=True,
record_v_7=True,
record_gsyn_exc=True,
record_gsyn_exc_7=True,
record_gsyn_inh=False)
gsyn_exc = synfire_run.get_output_pop_gsyn_exc_numpy()
v = synfire_run.get_output_pop_voltage_numpy()
spikes = synfire_run.get_output_pop_spikes_numpy()
self.assertEqual(n_neurons * runtime, len(gsyn_exc))
read_gsyn = numpy.loadtxt(gysn_file, delimiter=',')
self.assertTrue(numpy.allclose(read_gsyn, gsyn_exc, rtol=1e-04),
"gsyn neo method mismatch")
self.assertEqual(n_neurons * runtime, len(v))
read_v = numpy.loadtxt(v_file, delimiter=',')
self.assertTrue(numpy.allclose(read_v, v, rtol=1e-03),
"v neo method mismatch")
self.assertEqual(expected_spikes, len(spikes))
spike_checker.synfire_spike_checker(spikes, n_neurons)
read_spikes = numpy.loadtxt(spike_file, delimiter=',')
self.assertTrue(numpy.allclose(read_spikes, spikes),
"spikes neo method mismatch")
def do_all_no_constraint(self):
synfire_run = SynfireRunner()
synfire_run.do_run(n_neurons,
neurons_per_core=neurons_per_core,
delay=delay,
run_times=[runtime],
record=True,
record_7=True,
record_v=True,
record_v_7=True,
record_gsyn_exc=True,
record_gsyn_exc_7=True,
record_gsyn_inh=False)
gsyn_exc_7 = synfire_run.get_output_pop_gsyn_exc_7()
v_7 = synfire_run.get_output_pop_voltage_7()
spikes_7 = synfire_run.get_output_pop_spikes_7()
gsyn_exc = synfire_run.get_output_pop_gsyn_exc_numpy()
v = synfire_run.get_output_pop_voltage_numpy()
spikes = synfire_run.get_output_pop_spikes_numpy()
self.assertEqual(n_neurons * runtime, len(gsyn_exc))
read_gsyn = numpy.loadtxt(gysn_file, delimiter=',')
if not numpy.allclose(read_gsyn, gsyn_exc_7):
for g1, g2 in zip(read_gsyn, gsyn_exc_7):
if not numpy.allclose(g1, g2, rtol=1e-04):
print(g1, g2, g1[2] - g2[2], (g1[2] - g2[2]) / g1[2])
self.assertTrue(numpy.allclose(read_gsyn, gsyn_exc_7, rtol=1e-04),
"gsyn synakker method mismatch")
self.assertTrue(numpy.allclose(read_gsyn, gsyn_exc, rtol=1e-04),
"gsyn neo method mismatch")
self.assertEqual(n_neurons * runtime, len(v))
read_v = numpy.loadtxt(v_file, delimiter=',')
self.assertTrue(numpy.allclose(read_v, v_7, rtol=1e-03),
"v synakker method mismatch")
self.assertTrue(numpy.allclose(read_v, v, rtol=1e-03),
"v neo method mismatch")
self.assertEqual(expected_spikes, len(spikes))
spike_checker.synfire_spike_checker(spikes, n_neurons)
read_spikes = numpy.loadtxt(spike_file, delimiter=',')
self.assertTrue(numpy.allclose(read_spikes, spikes_7),
"spikes synakker method mismatch")
self.assertTrue(numpy.allclose(read_spikes, spikes),
"spikes neo method mismatch")
def do_spikes_no_constraint(self):
synfire_run = SynfireRunner()
synfire_run.do_run(n_neurons,
neurons_per_core=neurons_per_core,
delay=delay,
run_times=[runtime],
record=True,
record_v=False,
record_gsyn_exc_7=False,
record_gsyn_inh=False)
spikes = synfire_run.get_output_pop_spikes_numpy()
self.assertEqual(expected_spikes, len(spikes))
spike_checker.synfire_spike_checker(spikes, n_neurons)
read_spikes = numpy.loadtxt(spike_file, delimiter=',')
self.assertTrue(numpy.allclose(read_spikes, spikes),
"spikes neo method mismatch")
delay=delay,
run_times=[runtime],
placement_constraint=placement_constraint,
record=True,
record_7=True,
record_v=True,
record_v_7=True,
record_gsyn_exc=True,
record_gsyn_exc_7=True,
record_gsyn_inh=False)
gsyn_exc = synfire_run.get_output_pop_gsyn_exc_numpy()
gsyn_exc_neo = synfire_run.get_output_pop_gsyn_exc_neo()
v = synfire_run.get_output_pop_voltage_numpy()
v_neo = synfire_run.get_output_pop_voltage_neo()
spikes = synfire_run.get_output_pop_spikes_numpy()
spikes_neo = synfire_run.get_output_pop_spikes_neo()
numpy.savetxt(spike_file, spikes, delimiter=',')
numpy.savetxt(v_file, v, delimiter=',')
numpy.savetxt(gysn_file, gsyn_exc, delimiter=',')
Figure(SpynnakerPanel(spikes_neo,
yticks=True,
xticks=True,
markersize=4,
xlim=(0, runtime)),
SpynnakerPanel(v_neo, yticks=True, xticks=True),
SpynnakerPanel(gsyn_exc_neo, yticks=True),
title="Synfire with delay of {}".format(delay),
annotations="generated by {}".format(__file__))