aws / sagemaker-mxnet-inference-toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
Summary
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| Main Code: 373 LOC (17 files) = PY (71%) + YML (25%) + IN (1%) + CFG (1%) Secondary code: Test: 740 LOC (19); Generated: 0 LOC (0); Build & Deploy: 8 LOC (1); Other: 382 LOC (11); |
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| File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 83% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 87% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (6 components) | ||
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2 years, 9 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
1 file |
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Latest commit date: 2022-01-08
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3
commits
(30 days)
2
contributors
(30 days) |
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