Source code for norse.torch.functional.test.test_lif_refrac
import torch
from norse.torch.functional.lif import LIFState, LIFFeedForwardState
from norse.torch.functional.lif_refrac import (
LIFRefracState,
LIFRefracFeedForwardState,
lif_refrac_feed_forward_step,
lif_refrac_step,
)
[docs]def test_lif_refrac_step():
x = torch.ones(20)
s = LIFRefracState(
lif=LIFState(z=torch.zeros(10), v=torch.zeros(10), i=torch.zeros(10)),
rho=torch.zeros(10),
)
input_weights = torch.randn(10, 20).float()
recurrent_weights = torch.randn(10, 10).float()
for _ in range(100):
_, s = lif_refrac_step(x, s, input_weights, recurrent_weights)
[docs]def test_lif_refrac_feed_forward_step():
x = torch.ones(10)
s = LIFRefracFeedForwardState(
lif=LIFFeedForwardState(v=torch.zeros(10), i=torch.zeros(10)),
rho=torch.zeros(10),
)
for _ in range(100):
_, s = lif_refrac_feed_forward_step(x, s)