Add Randomized Matrix Multiplication Verifier #6236
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This commit implements a Monte Carlo method to verify matrix multiplication for both integer and decimal valued matrices. The algorithm generates random binary vectors, multiplies them with the matrices, and compares the results. If any mismatch is found, the multiplication is deemed incorrect. This efficient verification avoids full matrix multiplication by using partial calculations. It also accounts for floating-point precision with a small tolerance and ensures matrix dimensions are consistent before verification.
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #6236 +/- ##
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- Coverage 73.93% 73.74% -0.19%
Complexity 5334 5334
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Files 676 677 +1
Lines 18475 18522 +47
Branches 3574 3594 +20
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Hits 13659 13659
- Misses 4267 4314 +47
Partials 549 549 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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This commit implements a Monte Carlo method to verify matrix multiplication for both integer and decimal valued matrices. The algorithm generates random binary vectors, multiplies them with the matrices, and compares the results. If any mismatch is found, the multiplication is deemed incorrect. This efficient verification avoids full matrix multiplication by using partial calculations. It also accounts for floating-point precision with a small tolerance and ensures matrix dimensions are consistent before verification.
clang-format -i --style=file path/to/your/file.java