neo-ai / neo-ai-dlr
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
Summary
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| Main Code: 7,008 LOC (74 files) = CC (45%) + PY (39%) + H (10%) + JS (2%) + CMAKE (1%) + JAVA (<1%) + CFG (<1%) + IN (<1%) + PRO (<1%) Secondary code: Test: 3,191 LOC (26); Generated: 0 LOC (0); Build & Deploy: 237 LOC (13); Other: 7,714 LOC (79); |
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| Duplication: 10% | |||
| File Size: 0% long (>1000 LOC), 48% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 56% short (<= 10 LOC) | |||
| Conditional Complexity: 2% complex (McCabe index > 50), 65% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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3 years, 2 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) | |||
Latest commit date: 2022-01-30
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4
commits
(30 days)
2
contributors
(30 days) |
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