Truncating weights to 0 for Sparse lead to wrong shape fixed #683
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Issue Number:
Objective of pull request:
When initializing Sparse with small but mixed weights, the truncating weights function of the weightutils round them to zero. As those weights are kept in the data field of the sparse matrix, the shape is wrong. This PR fixes this issue by removing these explicit zeros from the sparse matrix.
Pull request checklist
Your PR fulfills the following requirements:
flakeheaven lint src/lava tests/
) and (bandit -r src/lava/.
) pass locallypytest
) passes locallyPull request type
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What is the current behavior?
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Does this introduce a breaking change?
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