This package makes it easier to build docker images which run on Amazon SageMaker. For example, the official SageMaker TensorFlow and MXNet images use this package. The requirements for SageMaker-compatible images are documented here: https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html
Features provided:
Integration with SageMaker Python SDK Estimators, including:
Downloading user-provided python code
Deserializing hyperparameters (which preserves their python types)
bin/entry.py, which acts as the docker entrypoint required by SageMaker
Reading in the metadata files provided to the container during training, as described here: https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-training-algo.html
nginx + Gunicorn HTTP server for serving inference requests which complies with the interface described here: https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-inference-code.html
License
This library is licensed under the Apache 2.0 License.
1 maintainer
Release files for sagemaker-container-support 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| sagemaker_container_support-1.1.3.tar.gz | 21.0 kB | Details |
Release files / sagemaker_container_support-1.1.3.tar.gz
| Download URL | sagemaker_container_support-1.1.3.tar.gz |
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| Size | 21.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.10.0 pkginfo/1.4.1 requests/2.18.4 setuptools/36.2.7 requests-toolbelt/0.8.0 tqdm/4.19.6 CPython/2.7.13
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