facebookresearch / moolib
A library for distributed ML training with PyTorch
Summary
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| Main Code: 11,158 LOC (34 files) = CC (61%) + H (37%) + PY (1%) + TOML (<1%) | |||
| Duplication: 3% | |||
| File Size: 41% long (>1000 LOC), 13% short (<= 200 LOC) | |||
| Unit Size: 10% long (>100 LOC), 39% short (<= 10 LOC) | |||
| Conditional Complexity: 12% complex (McCabe index > 50), 45% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (3 components) | ||
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1 month 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
3 files |
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Latest commit date: 2022-01-10
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commits
(30 days)
1
contributors
(30 days) |
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