Node gets only zero input

[jgosmann]

This script uses a node to probe some data (the output of a circular convolution), but all it gets as input are 0 values. Using a regular probe works fine.

import nengo
import nengo.spa
import nengo_spinnaker
import numpy as np
import matplotlib.pyplot as plt

nengo.log(debug=True)

class Collector(object):
    def __init__(self):
        self.trange = []
        self.data = []

    def __call__(self, t, x):
        self.trange.append(t)
        self.data.append(np.squeeze(x))

d = 10
n_neurons = 50

rng = np.random.RandomState(123)

ctx = nengo.spa.SemanticPointer(d, rng)
ctx.make_unitary()

model = nengo.Network(seed=9023)
with model:
    in_a = nengo.Node(output=nengo.spa.SemanticPointer(d, rng).v)
    in_b = nengo.Node(output=ctx.v)

    cconv = nengo.networks.CircularConvolution(n_neurons, d)
    nengo.Connection(in_a, cconv.A)
    nengo.Connection(in_b, cconv.B)

    probe = Collector()
    probe_node = nengo.Node(probe, size_in=d)
    nengo.Connection(cconv.output, probe_node, synapse=0.01)
    pr = nengo.Probe(cconv.output, synapse=0.01)

    sim = nengo_spinnaker.Simulator(model)
    sim.run(10.)

plt.subplot(2, 1, 1)
plt.plot(probe.trange, probe.data)
plt.subplot(2, 1, 2)
plt.plot(sim.trange(), sim.data[pr])
plt.show()

Plot:

[mundya]

This can be a case of network settings getting in the way, can you use the GUI ok?

[jgosmann]

Indeed it seems to work in the GUI.

[jgosmann]

But so does it without now 😮

[jgosmann]

But it still fails for slightly more complex models.