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bhanutejagkBhanu Teja GoshikondasirutBuasaijunpuf
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[TensorFlow][Inference][Sagemaker] TensorFlow 2.19.0 Currency Release (#4883)
* Building inf image * added dockerd_ec2_entrypoint.sh file * fixed syntax * modified env variable with values directly * rearranged build_image creation line to top of file * added setup.sources.sh file to add NVIDIA's package & Tensorflow serving reporitories * removed libssl1.1 line and modified libreadline-gplv2-dev * removed libssl1.1 installation and modified libreadline-gplv2-dev to libreadline-dev in gpu file * changed TF_SERVING_VERSION_GIT_COMMIT value and removed dockerd_ec2_entrypoint file * added libssl3 since it is a dependency for nginx * changed nginx installation from Focal(20.04) to Ubuntu Jammy(22.04) * trying to debug error with libssl1.1 instead of libssl3 * removed libssl1.1 * installing libcudnn and nccl via dpkg after python installation to remove 3.10 conflict * installing python before installing packages using apt install * installing wget before installing python * insatalling curl, gnupg2, ca-certificates also before python installation * divided installtion of packages as needed for python compilation and not needed ones * installing libssl1.1 * added allowlist to remove vulnerability on gpu image * removed logic for build to only test * setup nvidia repositories through cuda-keyring and building image and also skipped telemetry tests * modified wget installation code after installing wget * added 2.19 to skip framework telemetry * checking with openssl/libssl1.1.1p to check for CVE's and removed skipping of bashrc and entrypoint telemtry * Upgraded OpenSSL to a newer version that doesn't have these vulnerabilities & checking only security tests * building the image * upgraded libssl1.1 to 1.1.1t * replace 1.1.1t with 1.1.1o for libssl1.1 * upgraded libssl1.1 version to 1.1.1f-1ubuntu2.24 * changed libssl version to libssl1.1_1.1.1-1ubuntu2.1~18.04.23_amd64.deb * upgraded libssl1.1 to 1.1.1-1ubuntu2.1~18.04.23 * removed libssl1.1 installation to check if it even needed to remove error * uninstalling libssl1.1 after installing cuda packages to check for errors * Add license file content test (#4890) * Add license file content test * use short verison * test no build * print string * enable build * fix allowlist * rebuild * buildtest ec2 * test arm * build test inference * disable arm64 mode * disable build * revert toml * update EFA to 1.41.0 vllm to 0.9.0.1 (#4898) * update EFA to 1.41.0 vllm to 0.9.0.1 * upgraded base image to cuda 12.2.2 to check for errors of openssl * changed cuda base image version to 12.2.0 from 12.2.2 * added allowlist.json file for the openssl CVE's * enabled some more tests * removed some commented lines * reverted back toml file * Removed all the commented lines for cleaner code --------- Co-authored-by: Bhanu Teja Goshikonda <bhanugk@amazon.com> Co-authored-by: Sirut Buasai <73297481+sirutBuasai@users.noreply.github.com> Co-authored-by: Junpu Fan <junpu@amazon.com>
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‎tensorflow/inference/buildspec-2-19-sm.yml‎

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account_id: &ACCOUNT_ID <set-$ACCOUNT_ID-in-environment>
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prod_account_id: &PROD_ACCOUNT_ID 763104351884
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region: &REGION <set-$REGION-in-environment>
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framework: &FRAMEWORK tensorflow
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version: &VERSION 2.19.0
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short_version: &SHORT_VERSION 2.19
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arch_type: x86
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#autopatch_build: "True"
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repository_info:
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inference_repository: &INFERENCE_REPOSITORY
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image_type: &INFERENCE_IMAGE_TYPE inference
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root: !join [ *FRAMEWORK, "/", *INFERENCE_IMAGE_TYPE ]
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repository_name: &REPOSITORY_NAME !join [pr, "-", *FRAMEWORK, "-", *INFERENCE_IMAGE_TYPE]
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repository: &REPOSITORY !join [ *ACCOUNT_ID, .dkr.ecr., *REGION, .amazonaws.com/, *REPOSITORY_NAME ]
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release_repository_name: &RELEASE_REPOSITORY_NAME !join [ *FRAMEWORK, "-", *INFERENCE_IMAGE_TYPE ]
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release_repository: &RELEASE_REPOSITORY !join [ *PROD_ACCOUNT_ID, .dkr.ecr., *REGION, .amazonaws.com/,
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*RELEASE_REPOSITORY_NAME ]
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context:
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inference_context: &INFERENCE_CONTEXT
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start_cuda_compat:
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source: docker/build_artifacts/start_cuda_compat.sh
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target: start_cuda_compat.sh
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dockerd_entrypoint:
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source: docker/build_artifacts/dockerd_entrypoint.sh
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target: dockerd_entrypoint.sh
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sagemaker_package_name:
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source: docker/build_artifacts/sagemaker
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target: sagemaker
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init:
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source: docker/build_artifacts/__init__.py
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target: __init__.py
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dockerd-entrypoint:
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source: docker/build_artifacts/dockerd-entrypoint.py
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target: dockerd-entrypoint.py
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deep_learning_container:
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source: ../../src/deep_learning_container.py
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target: deep_learning_container.py
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images:
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BuildSageMakerTensorflowCPUInferencePy3DockerImage:
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<<: *INFERENCE_REPOSITORY
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build: &TENSORFLOW_CPU_INFERENCE_PY3 false
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image_size_baseline: &IMAGE_SIZE_BASELINE 4899
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framework_version: &FRAMEWORK_VERSION 2.19.0
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device_type: &DEVICE_TYPE cpu
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python_version: &DOCKER_PYTHON_VERSION py3
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tag_python_version: &TAG_PYTHON_VERSION py312
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os_version: &OS_VERSION ubuntu22.04
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tag: !join [ *FRAMEWORK_VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
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latest_release_tag: !join [ *FRAMEWORK_VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *OS_VERSION, "-sagemaker" ]
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docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /Dockerfile., *DEVICE_TYPE ]
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target: sagemaker
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enable_test_promotion: true
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context:
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<<: *INFERENCE_CONTEXT
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BuildSageMakerTensorflowGPUInferencePy3DockerImage:
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<<: *INFERENCE_REPOSITORY
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build: &TENSORFLOW_GPU_INFERENCE_PY3 false
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image_size_baseline: &IMAGE_SIZE_BASELINE 13100
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framework_version: &FRAMEWORK_VERSION 2.19.0
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device_type: &DEVICE_TYPE gpu
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python_version: &DOCKER_PYTHON_VERSION py3
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tag_python_version: &TAG_PYTHON_VERSION py312
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cuda_version: &CUDA_VERSION cu122
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os_version: &OS_VERSION ubuntu22.04
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tag: !join [ *FRAMEWORK_VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
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latest_release_tag: !join [ *FRAMEWORK_VERSION, "-", *DEVICE_TYPE, "-", *TAG_PYTHON_VERSION, "-", *CUDA_VERSION, "-", *OS_VERSION, "-sagemaker" ]
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docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /, *CUDA_VERSION, /Dockerfile., *DEVICE_TYPE ]
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target: sagemaker
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enable_test_promotion: true
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context:
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<<: *INFERENCE_CONTEXT

‎tensorflow/inference/buildspec.yml‎

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buildspec_pointer: buildspec-2-18-sm.yml
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buildspec_pointer: buildspec-2-19-sm.yml

‎tensorflow/inference/docker/2.19/py3/Dockerfile.cpu‎

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########################################################
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# _____ ____ ____ ___
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# | ____/ ___|___ \ |_ _|_ __ ___ __ _ __ _ ___
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# | _|| | __) | | || '_ ` _ \ / _` |/ _` |/ _ \
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# | |__| |___ / __/ | || | | | | | (_| | (_| | __/
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# |_____\____|_____| |___|_| |_| |_|\__,_|\__, |\___|
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# |___/
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# ____ _
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# | _ \ ___ ___(_)_ __ ___
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# | |_) / _ \/ __| | '_ \ / _ \
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# | _ < __/ (__| | |_) | __/
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# |_| \_\___|\___|_| .__/ \___|
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# |_|
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########################################################
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FROM tensorflow/serving:2.19.0-devel as build_image
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FROM ubuntu:22.04 AS base_image
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ENV DEBIAN_FRONTEND=noninteractive \
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LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/lib"
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RUN apt-get update \
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&& apt-get upgrade -y \
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&& apt-get autoremove -y \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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FROM base_image AS ec2
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LABEL maintainer="Amazon AI"
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LABEL dlc_major_version="1"
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ARG PYTHON=python3.12
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ARG PYTHON_PIP=python3-pip
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ARG PIP=pip3
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ARG PYTHON_VERSION=3.12.10
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ARG TFS_SHORT_VERSION=2.19
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# ENV variable to be passed to SageMaker stage
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ENV PIP=${PIP}
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ENV PYTHON=${PYTHON}
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ENV PYTHON_VERSION=${PYTHON_VERSION}
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# See http://bugs.python.org/issue19846
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ENV LANG=C.UTF-8
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# Python won’t try to write .pyc or .pyo files on the import of source modules
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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ENV LD_LIBRARY_PATH='/usr/local/lib:$LD_LIBRARY_PATH'
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ENV MODEL_BASE_PATH=/models
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# The only required piece is the model name in order to differentiate endpoints
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ENV MODEL_NAME=model
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ENV DEBIAN_FRONTEND=noninteractive
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# First install basic tools needed for Python compilation
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RUN apt-get update \
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&& apt-get -y install --no-install-recommends \
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ca-certificates \
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curl \
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wget \
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gnupg2 \
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build-essential \
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zlib1g-dev \
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libssl-dev \
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libbz2-dev \
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liblzma-dev \
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libffi-dev \
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libreadline-dev \
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libncursesw5-dev \
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libsqlite3-dev \
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libgdbm-dev \
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tk-dev \
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libc6-dev \
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openssl \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Install python3.12
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RUN wget https://www.python.org/ftp/python/${PYTHON_VERSION}/Python-${PYTHON_VERSION}.tgz \
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&& tar -xvf Python-${PYTHON_VERSION}.tgz \
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&& cd Python-${PYTHON_VERSION} \
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&& ./configure && make && make install \
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&& rm -rf ../Python-${PYTHON_VERSION}*
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# Install remaining packages
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RUN apt-get update \
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&& apt-get -y install --no-install-recommends \
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emacs \
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git \
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unzip \
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vim \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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RUN ${PIP} --no-cache-dir install --upgrade \
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pip \
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setuptools
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RUN ${PIP} install --no-cache-dir \
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"awscli<2" \
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boto3 \
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"cython<3.0" \
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gevent \
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requests \
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grpcio \
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"protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3" \
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packaging \
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# using --no-dependencies to avoid installing tensorflow binary
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&& ${PIP} install --no-dependencies --no-cache-dir \
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tensorflow-serving-api=="2.19.0"
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# Some TF tools expect a "python" binary
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RUN ln -s $(which ${PYTHON}) /usr/local/bin/python \
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&& ln -s $(which ${PIP}) /usr/bin/pip
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# Install TF Serving pkg
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COPY --from=build_image /usr/local/bin/tensorflow_model_server /usr/bin/tensorflow_model_server
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# Expose ports
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# gRPC and REST
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EXPOSE 8500 8501
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# Set where models should be stored in the container
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RUN mkdir -p ${MODEL_BASE_PATH}
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ADD https://raw.githubusercontent.com/aws/deep-learning-containers/master/src/deep_learning_container.py /usr/local/bin/deep_learning_container.py
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RUN chmod +x /usr/local/bin/deep_learning_container.py
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COPY bash_telemetry.sh /usr/local/bin/bash_telemetry.sh
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RUN chmod +x /usr/local/bin/bash_telemetry.sh
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RUN echo 'source /usr/local/bin/bash_telemetry.sh' >> /etc/bash.bashrc
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# Create a script that runs the model server so we can use environment variables
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# while also passing in arguments from the docker command line
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RUN echo '#!/bin/bash \n\n' > /usr/bin/tf_serving_entrypoint.sh \
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&& echo 'bash /usr/local/bin/bash_telemetry.sh >/dev/null 2>&1 || true' > /usr/bin/tf_serving_entrypoint.sh \
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&& echo '/usr/bin/tensorflow_model_server --port=8500 --rest_api_port=8501 --model_name=${MODEL_NAME} --model_base_path=${MODEL_BASE_PATH}/${MODEL_NAME} "$@"' >> /usr/bin/tf_serving_entrypoint.sh \
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&& chmod +x /usr/bin/tf_serving_entrypoint.sh
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RUN HOME_DIR=/root \
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&& curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \
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&& unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \
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&& cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \
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&& chmod +x /usr/local/bin/testOSSCompliance \
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&& chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \
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&& ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} ${PYTHON} \
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&& rm -rf ${HOME_DIR}/oss_compliance*
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RUN curl https://aws-dlc-licenses.s3.amazonaws.com/tensorflow-${TFS_SHORT_VERSION}/license.txt -o /license.txt
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RUN rm -rf /tmp/*
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CMD ["/usr/bin/tf_serving_entrypoint.sh"]
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#################################################################
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# ____ __ __ _
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# / ___| __ _ __ _ ___| \/ | __ _| | _____ _ __
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# \___ \ / _` |/ _` |/ _ \ |\/| |/ _` | |/ / _ \ '__|
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# ___) | (_| | (_| | __/ | | | (_| | < __/ |
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# |____/ \__,_|\__, |\___|_| |_|\__,_|_|\_\___|_|
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# |___/
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# ___ ____ _
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# |_ _|_ __ ___ __ _ __ _ ___ | _ \ ___ ___(_)_ __ ___
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# | || '_ ` _ \ / _` |/ _` |/ _ \ | |_) / _ \/ __| | '_ \ / _ \
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# | || | | | | | (_| | (_| | __/ | _ < __/ (__| | |_) | __/
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# |___|_| |_| |_|\__,_|\__, |\___| |_| \_\___|\___|_| .__/ \___|
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# |___/ |_|
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#################################################################
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FROM ec2 AS sagemaker
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LABEL maintainer="Amazon AI"
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LABEL dlc_major_version="1"
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# Specify accept-bind-to-port 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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LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
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ARG TFS_SHORT_VERSION=2.19
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ENV SAGEMAKER_TFS_VERSION="${TFS_SHORT_VERSION}"
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ENV PATH="$PATH:/sagemaker"
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# nginx + njs
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RUN curl -s http://nginx.org/keys/nginx_signing.key | apt-key add - \
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&& echo 'deb http://nginx.org/packages/ubuntu/ jammy nginx' >> /etc/apt/sources.list \
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&& apt-get update \
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&& apt-get -y install --no-install-recommends \
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nginx \
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nginx-module-njs \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# the Pins are for the TFS SageMaker Toolkit
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RUN ${PIP} install --no-cache-dir \
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falcon==3.1.0 \
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"gunicorn>=22.0.0"
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COPY ./sagemaker /sagemaker
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# Expose ports
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# gRPC and REST
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EXPOSE 8500 8501
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RUN HOME_DIR=/root \
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&& curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \
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&& unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \
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&& cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \
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&& chmod +x /usr/local/bin/testOSSCompliance \
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&& chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \
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&& ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} ${PYTHON} \
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&& rm -rf ${HOME_DIR}/oss_compliance*
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RUN rm -rf /tmp/*
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CMD ["/usr/bin/tf_serving_entrypoint.sh"]

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