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Minor change to sparse to handle all 0 delays #696

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May 17, 2023
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3 changes: 3 additions & 0 deletions src/lava/proc/sparse/models.py
Original file line number Diff line number Diff line change
Expand Up @@ -245,6 +245,9 @@ def get_delay_wgts_mat(weights, delays) -> spmatrix:
weights.
"""
# Can only start at 1, as delays==0 raises inefficiency warning
if np.max(delays) == 0:
return weights

weight_delay_from_1 = vstack([weights.multiply(delays == k)
for k in range(1, np.max(delays) + 1)])
# Create weight matrix at delays == 0
Expand Down