pytorch / ort
Accelerate PyTorch models with ONNX Runtime
Summary
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| Main Code: 774 LOC (26 files) = PY (50%) + YML (46%) + CFG (2%) + TOML (<1%) Secondary code: Test: 448 LOC (5); Generated: 0 LOC (0); Build & Deploy: 772 LOC (11); Other: 206 LOC (7); |
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| Duplication: 9% | |||
| File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 51% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 60% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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1 year, 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) | |||
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Features of interest:
TODOs
4 files |
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Latest commit date: 2021-10-12
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(30 days)
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