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Update of behaviour of Sigma Neuron Dynamic Process in fixed-point representation #875

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Update of behaviour of Sigma Neuron Dynamic Process in fixed-point representation #875

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174f46d
add sdnfixed udated with correct sdn implementation
ccaccavella Jul 30, 2024
90a6afd
cleaning
ccaccavella Jul 31, 2024
0dd87c3
Merge branch 'lava-nc:main' into dev/sdn_error_tracking_updated
ccaccavella Jul 31, 2024
a1296a3
Merge branch 'main' into dev/sdn_error_tracking_updated
bamsumit Aug 16, 2024
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32 changes: 32 additions & 0 deletions src/lava/proc/sdn/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -282,3 +282,35 @@ def run_spk(self) -> None:
s_out_scaled = self.dynamics(a_in_data)
s_out = np.right_shift(s_out_scaled, self.state_exp)
self.s_out.send(s_out)


@implements(proc=SigmaDelta, protocol=LoihiProtocol)
@requires(CPU)
@tag('fixed_pt')
class PySigmaDeltaModelFixedCorrected(AbstractSigmaDeltaModel):
"""Fixed point implementation of Sigma Delta neuron."""
a_in = LavaPyType(PyInPort.VEC_DENSE, np.int32, precision=24)
s_out = LavaPyType(PyOutPort.VEC_DENSE, np.int32, precision=24)

vth: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=24)
sigma: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=24)
act: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=24)
residue: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=24)
error: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=24)
bias: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=16)

spike_exp: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=3)
state_exp: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=3)
cum_error: np.ndarray = LavaPyType(np.ndarray, bool, precision=1)

def run_spk(self) -> None:
# Receive synaptic input
a_in_data = self.a_in.recv()
self.sigma = self.sigma_dynamics(a_in_data)
act = self.activation_dynamics(self.sigma)
delta = act - self.act
s_out_scaled = np.where(np.abs(delta) >= self.vth, delta, 0)
s_out = np.right_shift(s_out_scaled, self.state_exp)
delta = np.left_shift(s_out, self.state_exp)
self.act += delta
self.s_out.send(s_out)
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