DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
Main Code: 25,177 LOC (143 files) = PY (36%) + CPP (31%) + H (29%) + PS1 (1%) + CMAKE (<1%) + YAML (<1%) + IN (<1%) + HLSL (<1%) + YML (<1%) + CFG (<1%) Secondary code: Test: 2,462 LOC (4); Generated: 0 LOC (0); Build & Deploy: 88 LOC (2); Other: 173,169 LOC (606); |
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Duplication: 9% | |||
File Size: 46% long (>1000 LOC), 26% short (<= 200 LOC) | |||
Unit Size: 12% long (>100 LOC), 49% short (<= 10 LOC) | |||
Conditional Complexity: 10% complex (McCabe index > 50), 63% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (17 components) | ||
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2 years, 10 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
7 files |
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Latest commit date: 2022-01-28
2
commits
(30 days)
2
contributors
(30 days) |
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generated by sokrates.dev (configuration) on 2022-01-31