ea09d1fd36b347bc86cbc52de8ea39ffbeb24dc1,examples/mnist/reservoir.py,,,#,105

Before Change

n_iters = 500
test_pairs = []
for i, (datum, label) in enumerate(loader):
    if i % 100 == 0:
        print("Test progress: (%d / %d)" % (i, n_iters))

    network.run(inpts={"I": datum}, time=250)
    test_pairs.append([spikes["O"].get("s").sum(-1), label])

    inpt_axes, inpt_ims = plot_input(

After Change

for (step, dataPoint) in pbar:
    datum = dataPoint["encoded_image"]
    label = dataPoint["label"]
    pbar.set_description("Train progress: (%d / %d)" % (i, n_iters))

    network.run(inpts={"I": datum}, time=250, input_time_dim=1)
    test_pairs.append([spikes["O"].get("s").sum(-1), label])

Instances