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update: Remove multi-model label from CPU containers (#119)
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docker/1.13/Dockerfile.cpu

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LABEL maintainer="Amazon AI"
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LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
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LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
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ARG PYTHON=python3
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ARG PIP=pip3

docker/1.14/Dockerfile.cpu

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LABEL maintainer="Amazon AI"
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LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
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LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
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ARG PYTHON=python3
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ARG PIP=pip3

docker/1.15/Dockerfile.cpu

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# Specify LABEL for inference pipelines to use SAGEMAKER_BIND_TO_PORT
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# https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipeline-real-time.html
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LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
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# Specify LABEL to show container is capable of loading and serving multiple models concurrently
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# https://docs.aws.amazon.com/sagemaker/latest/dg/build-multi-model-build-container.html
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LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
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# Add arguments to achieve the version, python and url
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ARG PYTHON=python3

docker/2.0/Dockerfile.cpu

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LABEL maintainer="Amazon AI"
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LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
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LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
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ARG PYTHON=python3
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ARG PIP=pip3

docker/2.1/Dockerfile.cpu

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LABEL maintainer="Amazon AI"
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LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
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LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
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ARG PYTHON=python3
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ARG PIP=pip3

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