Daniel Rasmussen
Daniel Rasmussen
**Motivation and context:** We organize the signals associated with an Operator according to whether the operator sets, increments, reads, or updates that signal. The difference between a "set" and an...
**Describe the bug** The `Probe.size_in` is always set to be the `size_out` of the object being probed. This is often correct, but the assumption fails for more unusual probes. For...
**Is your feature request related to a problem? Please describe.** Since we change nengo tests over time, it's not uncommon that a backend passes one version of a test but...
Here's an example illustrating the issue: ``` python import nengo with nengo.Network() as net: inp = nengo.Node(output=lambda t: t*1000) ens = nengo.Ensemble(10, 1) conn = nengo.Connection(inp, ens, synapse=0) conn_in =...
It would be nice to have a PyPI release for this repo so that it can be pip installed.
`jupyter` requires `jupyter-console` and `ipykernel`. `jupyter-console==5.2.0` (the most recent) requires `prompt-toolkit=2.0.0`. `prompt-toolkit-1.0.15` ends up being installed, which results in ``` >python -c "import ipykernel" Traceback (most recent call last): File...
This issue can be observed in this log https://travis-ci.org/nengo/nengo/jobs/510052898#L894. Sorry I couldn't come up with a smaller test case, but it seems to be a specific interaction with this repo...
``` python import nengo import numpy as np import nengo_dl with nengo.Network() as net: a = nengo.Node([0]) b = nengo.Node(nengo.processes.WhiteNoise()) with nengo_dl.Simulator(net, minibatch_size=2) as sim: sim.predict(np.zeros((10, 1, 1))) ``` Gives...
Random operations (e.g. `tf.random.uniform(...)`), have an underlying state that controls the sequence of random numbers that are generated. Setting the TensorFlow seed (`tf.random.set_seed(n)`) does not reset that state, so e.g....
It would be nice to have some support for automatically swapping out synapses during training, similar to how we can automatically swap neuron models.