Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Minor change to sparse to handle all 0 delays #696

Merged
merged 1 commit into from
May 17, 2023
Merged

Minor change to sparse to handle all 0 delays #696

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions src/lava/proc/sparse/models.py
View file
Open in desktop
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