pytorch / glow
Compiler for Neural Network hardware accelerators
Summary
   |
|||
| Main Code: 136,259 LOC (445 files) = CPP (77%) + H (15%) + PY (3%) + CL (1%) + CMAKE (<1%) + C (<1%) + PROTO (<1%) + CFG (<1%) Secondary code: Test: 79,926 LOC (335); Generated: 0 LOC (0); Build & Deploy: 138 LOC (9); Other: 3,192 LOC (26); |
|||
| Duplication: 10% | |||
| File Size: 54% long (>1000 LOC), 16% short (<= 200 LOC) | |||
| Unit Size: 24% long (>100 LOC), 26% short (<= 10 LOC) | |||
| Conditional Complexity: 16% complex (McCabe index > 50), 43% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (34 components) | ||
|
|
4 years, 6 months old
|
||
|
|
55% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
|
Features of interest:
TODOs
64 files |
|||
Latest commit date: 2022-01-21
|
11
commits
(30 days)
7
contributors
(30 days) |
|