facebookresearch / param
PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for evaluation of training and inference platforms.
Summary
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| Main Code: 7,015 LOC (41 files) = PY (100%) | |||
| Duplication: 12% | |||
| File Size: 14% long (>1000 LOC), 28% short (<= 200 LOC) | |||
| Unit Size: 10% long (>100 LOC), 34% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 46% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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1 year, 3 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
6 files |
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Latest commit date: 2022-01-21
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7
commits
(30 days)
4
contributors
(30 days) |
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