tensorflow / model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Summary
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| Main Code: 9,344 LOC (136 files) = PY (97%) + YAML (1%) + BZL (<1%) + CFG (<1%) Secondary code: Test: 13,886 LOC (67); Generated: 0 LOC (0); Build & Deploy: 58 LOC (3); Other: 10,577 LOC (63); |
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| Duplication: 24% | |||
| File Size: 0% long (>1000 LOC), 53% short (<= 200 LOC) | |||
| Unit Size: 2% long (>100 LOC), 59% short (<= 10 LOC) | |||
| Conditional Complexity: 2% complex (McCabe index > 50), 68% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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2 years, 9 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: 2022-01-25
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11
commits
(30 days)
5
contributors
(30 days) |
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