pytorch / pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Summary
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| Main Code: 1,190,840 LOC (6667 files) = CPP (33%) + H (21%) + PY (18%) + CC (11%) + CU (6%) + C (2%) + HPP (1%) + CUH (1%) + CMAKE (<1%) + YAML (<1%) + S (<1%) + MM (<1%) + PYI (<1%) + PB (<1%) + GLSL (<1%) + IN (<1%) + BZL (<1%) + JAVA (<1%) + METAL (<1%) + PROTO (<1%) + JS (<1%) + RB (<1%) + YY (<1%) + HTML (<1%) + CSS (<1%) + LL (<1%) + M (<1%) + PT (<1%) + PS1 (<1%) + TOML (<1%) + LDS (<1%) Secondary code: Test: 476,501 LOC (1655); Generated: 1 LOC (1); Build & Deploy: 2,246 LOC (66); Other: 13,572 LOC (143); |
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| File Size: 28% long (>1000 LOC), 25% short (<= 200 LOC) | |||
| Unit Size: 17% long (>100 LOC), 39% short (<= 10 LOC) | |||
| Conditional Complexity: 9% complex (McCabe index > 50), 54% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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9 years, 12 months old
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19% 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
931 files |
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Latest commit date: 2022-01-23
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549
commits
(30 days)
143
contributors
(30 days) |
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