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Dockerfile.sdk
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# Copyright (c) 2019-2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# Base image on the minimum Triton container
ARG BASE_IMAGE=nvcr.io/nvidia/tritonserver:21.10-py3-min
ARG TRITON_CLIENT_REPO_SUBDIR=clientrepo
ARG TRITON_COMMON_REPO_TAG=main
ARG TRITON_CORE_REPO_TAG=main
ARG TRITON_BACKEND_REPO_TAG=main
ARG TRITON_THIRD_PARTY_REPO_TAG=main
ARG TRITON_MODEL_ANALYZER_REPO_TAG=main
ARG CMAKE_UBUNTU_VERSION=20.04
ARG TRITON_ENABLE_GPU=ON
FROM ${BASE_IMAGE}
ARG TARGETPLATFORM
# Ensure apt-get won't prompt for selecting options
ENV DEBIAN_FRONTEND=noninteractive
# DCGM version to install for Model Analyzer
ARG DCGM_VERSION=2.2.9
RUN apt-get update && \
apt-get install -y --no-install-recommends \
ca-certificates \
software-properties-common \
autoconf \
automake \
build-essential \
curl \
git \
libb64-dev \
libopencv-dev \
libopencv-core-dev \
libssl-dev \
libtool \
pkg-config \
python3 \
python3-pip \
python3-dev \
rapidjson-dev \
vim \
wget \
python3-pdfkit \
maven \
default-jdk && \
pip3 install --upgrade wheel setuptools && \
pip3 install --upgrade grpcio-tools && \
pip3 install --upgrade pip
ARG CMAKE_UBUNTU_VERSION
# Client build requires recent version of CMake (FetchContent required)
RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | \
gpg --dearmor - | \
tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null && \
if [ "$CMAKE_UBUNTU_VERSION" = "20.04" ]; then \
apt-add-repository 'deb https://apt.kitware.com/ubuntu/ focal main' && \
apt-get update && \
apt-get install -y --no-install-recommends \
cmake-data=3.21.1-0kitware1ubuntu20.04.1 cmake=3.21.1-0kitware1ubuntu20.04.1; \
elif [ "$CMAKE_UBUNTU_VERSION" = "18.04" ]; then \
apt-add-repository 'deb https://apt.kitware.com/ubuntu/ bionic main' && \
apt-get update && \
apt-get install -y --no-install-recommends \
cmake-data=3.18.4-0kitware1 cmake=3.18.4-0kitware1; \
else \
echo "ERROR: Only support CMAKE_UBUNTU_VERSION to be 18.04 or 20.04" && false; \
fi && \
cmake --version
# Build expects "python" executable (not python3).
RUN rm -f /usr/bin/python && \
ln -s /usr/bin/python3 /usr/bin/python
# Build the client library and examples
ARG TRITON_CLIENT_REPO_SUBDIR
ARG TRITON_COMMON_REPO_TAG
ARG TRITON_CORE_REPO_TAG
ARG TRITON_BACKEND_REPO_TAG
ARG TRITON_THIRD_PARTY_REPO_TAG
ARG TRITON_ENABLE_GPU
WORKDIR /workspace
COPY TRITON_VERSION .
COPY ${TRITON_CLIENT_REPO_SUBDIR} client
WORKDIR /workspace/build
RUN cmake -DCMAKE_INSTALL_PREFIX=/workspace/install \
-DTRITON_VERSION=`cat /workspace/TRITON_VERSION` \
-DTRITON_COMMON_REPO_TAG=${TRITON_COMMON_REPO_TAG} \
-DTRITON_CORE_REPO_TAG=${TRITON_CORE_REPO_TAG} \
-DTRITON_BACKEND_REPO_TAG=${TRITON_BACKEND_REPO_TAG} \
-DTRITON_THIRD_PARTY_REPO_TAG=${TRITON_THIRD_PARTY_REPO_TAG} \
-DTRITON_ENABLE_CC_HTTP=ON -DTRITON_ENABLE_CC_GRPC=ON \
-DTRITON_ENABLE_PYTHON_HTTP=ON -DTRITON_ENABLE_PYTHON_GRPC=ON \
-DTRITON_ENABLE_JAVA_HTTP=ON \
-DTRITON_ENABLE_PERF_ANALYZER=ON \
-DTRITON_ENABLE_EXAMPLES=ON -DTRITON_ENABLE_TESTS=ON \
-DTRITON_ENABLE_GPU=${TRITON_ENABLE_GPU} /workspace/client
RUN make -j16 cc-clients python-clients java-clients
WORKDIR /workspace
RUN cd install && \
export VERSION=`cat /workspace/TRITON_VERSION` && \
tar zcf /workspace/v$VERSION.clients.tar.gz *
# For CI testing need to install a test script.
COPY qa/L0_sdk/test.sh /tmp/test.sh
COPY qa/L0_sdk/grpc_test.cc /tmp/grpc_test.cc
COPY qa/L0_sdk/http_test.cc /tmp/http_test.cc
# Install an image needed by the quickstart and other documentation.
COPY qa/images/mug.jpg images/mug.jpg
# Install the dependencies needed to run the client examples. These
# are not needed for building but including them allows this image to
# be used to run the client examples.
RUN pip3 install --upgrade numpy pillow attrdict && \
find install/python/ -maxdepth 1 -type f -name \
"tritonclient-*linux*.whl" | xargs printf -- '%s[all]' | \
xargs pip3 install --upgrade
# Install DCGM
RUN if [ "$TRITON_ENABLE_GPU" = "ON" ]; then \
if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/cuda-ubuntu2004.pin && \
mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600 && \
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/7fa2af80.pub && \
add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/ /" && \
apt-get update && apt-get install -y datacenter-gpu-manager=1:${DCGM_VERSION}; \
else \
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin && \
mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600 && \
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub && \
add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /" && \
apt-get update && apt-get install -y datacenter-gpu-manager=1:${DCGM_VERSION}; \
fi \
fi
# Install Model Analyzer
ARG TRITON_MODEL_ANALYZER_REPO_TAG
ARG TRITON_MODEL_ANALYZER_REPO="https://github.com/triton-inference-server/model_analyzer@${TRITON_MODEL_ANALYZER_REPO_TAG}"
RUN pip3 install "git+${TRITON_MODEL_ANALYZER_REPO}"
ENV PATH /workspace/install/bin:${PATH}
ENV LD_LIBRARY_PATH /workspace/install/lib:${LD_LIBRARY_PATH}