===================================
SageMaker PyTorch Inference Toolkit
===================================
SageMaker PyTorch Inference Toolkit is an open-source library for serving PyTorch models on Amazon SageMaker.
This library provides default pre-processing, predict and postprocessing for certain PyTorch model types and
is responsible for starting up the TorchServe model server on SageMaker, which is responsible for handling inference requests.
For training, see `SageMaker PyTorch Training Toolkit <https://github.com/aws/sagemaker-pytorch-training-toolkit>`__.
For the Dockerfiles used for building SageMaker PyTorch Containers, see `AWS Deep Learning Containers <https://github.com/aws/deep-learning-containers>`__.
For information on running PyTorch jobs on Amazon SageMaker, please refer to the `SageMaker Python SDK documentation <https://github.com/aws/sagemaker-python-sdk>`__.
For notebook examples: `SageMaker Notebook
Examples <https://github.com/awslabs/amazon-sagemaker-examples>`__.
Contributing
------------
Please read
`CONTRIBUTING.md <https://github.com/aws/sagemaker-pytorch-container/blob/master/CONTRIBUTING.md>`__
for details on our code of conduct, and the process for submitting pull
requests to us.
License
-------
SageMaker PyTorch Serving Container is licensed under the Apache 2.0 License. It is copyright 2018 Amazon
.com, Inc. or its affiliates. All Rights Reserved. The license is available at:
http://aws.amazon.com/apache2.0/
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