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Dockerfile.sdk
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# Copyright 2019-2024, 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.
#
# Multistage build.
#
# Base image on the minimum Triton container
ARG BASE_IMAGE=nvcr.io/nvidia/tritonserver:24.11-py3-min
ARG TRITON_CLIENT_REPO_SUBDIR=clientrepo
ARG TRITON_PA_REPO_SUBDIR=perfanalyzerrepo
ARG TRITON_REPO_ORGANIZATION=http://github.com/triton-inference-server
ARG TRITON_COMMON_REPO_TAG=main
ARG TRITON_CORE_REPO_TAG=main
ARG TRITON_CLIENT_REPO_TAG=main
ARG TRITON_THIRD_PARTY_REPO_TAG=main
ARG TRITON_MODEL_ANALYZER_REPO_TAG=main
ARG TRITON_ENABLE_GPU=ON
ARG JAVA_BINDINGS_MAVEN_VERSION=3.8.4
ARG JAVA_BINDINGS_JAVACPP_PRESETS_TAG=1.5.8
# DCGM version to install for Model Analyzer
ARG DCGM_VERSION=3.3.6
ARG NVIDIA_TRITON_SERVER_SDK_VERSION=unknown
ARG NVIDIA_BUILD_ID=unknown
############################################################################
## Build image
############################################################################
FROM ${BASE_IMAGE} AS sdk_build
# Ensure apt-get won't prompt for selecting options
ENV DEBIAN_FRONTEND=noninteractive
ENV PIP_BREAK_SYSTEM_PACKAGES=1
RUN apt-get update && \
apt-get install -y --no-install-recommends \
ca-certificates \
software-properties-common \
autoconf \
automake \
build-essential \
curl \
git \
gperf \
libb64-dev \
libgoogle-perftools-dev \
libopencv-dev \
libopencv-core-dev \
libssl-dev \
libtool \
pkg-config \
python3 \
python3-pip \
python3-dev \
python3-wheel \
python3-setuptools \
rapidjson-dev \
vim \
wget \
python3-pdfkit \
openjdk-11-jdk \
maven && \
pip3 install --upgrade "grpcio-tools<1.68"
# Client build requires recent version of CMake (FetchContent required)
# Using CMAKE installation instruction from:: https://apt.kitware.com/
RUN apt update -q=2 \
&& apt install -y gpg wget \
&& wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null \
&& . /etc/os-release \
&& echo "deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ $UBUNTU_CODENAME main" | tee /etc/apt/sources.list.d/kitware.list >/dev/null \
&& apt-get update -q=2 \
&& apt-get install -y --no-install-recommends cmake=3.28.3* cmake-data=3.28.3* \
&& 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_REPO_ORGANIZATION
ARG TRITON_CLIENT_REPO_SUBDIR
ARG TRITON_PA_REPO_SUBDIR
ARG TRITON_COMMON_REPO_TAG
ARG TRITON_CORE_REPO_TAG
ARG TRITON_CLIENT_REPO_TAG
ARG TRITON_THIRD_PARTY_REPO_TAG
ARG TRITON_ENABLE_GPU
ARG JAVA_BINDINGS_MAVEN_VERSION
ARG JAVA_BINDINGS_JAVACPP_PRESETS_TAG
ARG TARGETPLATFORM
WORKDIR /workspace
COPY TRITON_VERSION .
COPY ${TRITON_CLIENT_REPO_SUBDIR} client
COPY ${TRITON_PA_REPO_SUBDIR} perf_analyzer
WORKDIR /workspace/client_build
RUN cmake -DCMAKE_INSTALL_PREFIX=/workspace/install \
-DTRITON_VERSION=`cat /workspace/TRITON_VERSION` \
-DTRITON_REPO_ORGANIZATION=${TRITON_REPO_ORGANIZATION} \
-DTRITON_COMMON_REPO_TAG=${TRITON_COMMON_REPO_TAG} \
-DTRITON_CORE_REPO_TAG=${TRITON_CORE_REPO_TAG} \
-DTRITON_THIRD_PARTY_REPO_TAG=${TRITON_THIRD_PARTY_REPO_TAG} \
-DTRITON_ENABLE_PERF_ANALYZER=OFF \
-DTRITON_ENABLE_CC_HTTP=ON -DTRITON_ENABLE_CC_GRPC=ON \
-DTRITON_ENABLE_PYTHON_HTTP=OFF -DTRITON_ENABLE_PYTHON_GRPC=OFF \
-DTRITON_ENABLE_JAVA_HTTP=ON \
-DTRITON_ENABLE_EXAMPLES=ON -DTRITON_ENABLE_TESTS=ON \
-DTRITON_ENABLE_GPU=${TRITON_ENABLE_GPU} /workspace/client
RUN make -j16 cc-clients java-clients && \
rm -fr ~/.m2
# TODO: PA will rebuild the CC clients since it depends on it.
# This should be optimized so that we do not have to build
# the CC clients twice. Similarly, because the SDK expectation is
# that PA is packaged with the python client, we hold off on building
# the python client until now. Post-migration we should focus
# effort on de-tangling these flows.
WORKDIR /workspace/pa_build
RUN cmake -DCMAKE_INSTALL_PREFIX=/workspace/install \
-DTRITON_VERSION=`cat /workspace/TRITON_VERSION` \
-DTRITON_REPO_ORGANIZATION=${TRITON_REPO_ORGANIZATION} \
-DTRITON_COMMON_REPO_TAG=${TRITON_COMMON_REPO_TAG} \
-DTRITON_CORE_REPO_TAG=${TRITON_CORE_REPO_TAG} \
-DTRITON_CLIENT_REPO_TAG=${TRITON_CLIENT_REPO_TAG} \
-DTRITON_ENABLE_PERF_ANALYZER_C_API=ON \
-DTRITON_ENABLE_PERF_ANALYZER_TFS=ON \
-DTRITON_ENABLE_PERF_ANALYZER_TS=ON \
-DTRITON_ENABLE_PERF_ANALYZER_OPENAI=ON \
-DTRITON_ENABLE_CC_HTTP=ON \
-DTRITON_ENABLE_CC_GRPC=ON \
-DTRITON_ENABLE_PYTHON_HTTP=ON \
-DTRITON_ENABLE_PYTHON_GRPC=ON \
-DTRITON_PACKAGE_PERF_ANALYZER=ON \
-DTRITON_ENABLE_GPU=${TRITON_ENABLE_GPU} \
/workspace/perf_analyzer
RUN make -j16 perf-analyzer python-clients
RUN pip3 install build \
&& cd /workspace/perf_analyzer/genai-perf \
&& python3 -m build --wheel --outdir /workspace/install/python
# Install Java API Bindings
RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then \
source /workspace/client/src/java-api-bindings/scripts/install_dependencies_and_build.sh \
--maven-version ${JAVA_BINDINGS_MAVEN_VERSION} \
--core-tag ${TRITON_CORE_REPO_TAG} \
--javacpp-tag ${JAVA_BINDINGS_JAVACPP_PRESETS_TAG} \
--jar-install-path /workspace/install/java-api-bindings; \
fi
############################################################################
## Create sdk container
############################################################################
FROM ${BASE_IMAGE}
# Ensure apt-get won't prompt for selecting options
ENV DEBIAN_FRONTEND=noninteractive
ENV PIP_BREAK_SYSTEM_PACKAGES=1
ARG DCGM_VERSION
ARG TRITON_REPO_ORGANIZATION
ARG TRITON_CORE_REPO_TAG
ARG TARGETPLATFORM
ARG TRITON_ENABLE_GPU
RUN apt-get update && \
apt-get install -y --no-install-recommends \
software-properties-common \
curl \
git \
gperf \
libb64-dev \
libgoogle-perftools-dev \
libopencv-dev \
libopencv-core-dev \
libssl-dev \
libtool \
python3 \
python3-pip \
python3-dev \
python3-wheel \
python3-setuptools \
vim \
wget \
python3-pdfkit \
maven \
default-jdk && \
pip3 install "grpcio<1.68" "grpcio-tools<1.68"
WORKDIR /workspace
COPY TRITON_VERSION .
COPY NVIDIA_Deep_Learning_Container_License.pdf .
COPY --from=sdk_build /workspace/client/ client/
COPY --from=sdk_build /workspace/perf_analyzer/ perf_analyzer/
COPY --from=sdk_build /workspace/install/ install/
RUN cd install && \
export VERSION=`cat /workspace/TRITON_VERSION` && \
tar zcf /workspace/v$VERSION.clients.tar.gz *
# For CI testing need to copy over L0_sdk test and L0_client_build_variants test.
RUN mkdir qa
COPY qa/L0_sdk qa/L0_sdk
COPY qa/L0_client_build_variants qa/L0_client_build_variants
# Create a directory for all the python client tests to enable unit testing
RUN mkdir -p qa/python_client_unit_tests/
COPY --from=sdk_build /workspace/client/src/python/library/tests/* qa/python_client_unit_tests/
# 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<2" pillow attrdict && \
find install/python/ -maxdepth 1 -type f -name \
"tritonclient-*linux*.whl" | xargs printf -- '%s[all]' | \
xargs pip3 install --upgrade
RUN pip3 install install/python/genai_perf-*.whl
# Install DCGM
RUN if [ "$TRITON_ENABLE_GPU" = "ON" ]; then \
[ "$(uname -m)" != "x86_64" ] && arch="sbsa" || arch="x86_64" && \
curl -o /tmp/cuda-keyring.deb \
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/$arch/cuda-keyring_1.1-1_all.deb \
&& apt install /tmp/cuda-keyring.deb && rm /tmp/cuda-keyring.deb && \
apt-get update && apt-get install -y datacenter-gpu-manager=1:${DCGM_VERSION}; \
fi
# Build expects "python" executable (not python3).
RUN rm -f /usr/bin/python && \
ln -s /usr/bin/python3 /usr/bin/python
# Install Model Analyzer
ARG TRITON_MODEL_ANALYZER_REPO_TAG
ARG TRITON_MODEL_ANALYZER_REPO="${TRITON_REPO_ORGANIZATION}/model_analyzer@${TRITON_MODEL_ANALYZER_REPO_TAG}"
RUN pip3 install "git+${TRITON_MODEL_ANALYZER_REPO}"
# Entrypoint Banner
ENV NVIDIA_PRODUCT_NAME="Triton Server SDK"
COPY docker/entrypoint.d/ /opt/nvidia/entrypoint.d/
RUN sed 's/Server/Server SDK/' /opt/nvidia/entrypoint.d/10-banner.txt | \
sed 's/^===/=======/' > /opt/nvidia/entrypoint.d/10-banner.new && \
mv /opt/nvidia/entrypoint.d/10-banner.new /opt/nvidia/entrypoint.d/10-banner.txt
ARG NVIDIA_TRITON_SERVER_SDK_VERSION
ARG NVIDIA_BUILD_ID
ENV NVIDIA_TRITON_SERVER_SDK_VERSION=${NVIDIA_TRITON_SERVER_SDK_VERSION}
ENV NVIDIA_BUILD_ID=${NVIDIA_BUILD_ID}
ENV PATH=/workspace/install/bin:${PATH}
ENV LD_LIBRARY_PATH=/workspace/install/lib:${LD_LIBRARY_PATH}
# DLIS-3631: Needed to run Perf Analyzer CI tests correctly
ENV LD_LIBRARY_PATH=/opt/hpcx/ompi/lib:${LD_LIBRARY_PATH}
# Set TCMALLOC_RELEASE_RATE for users setting LD_PRELOAD with tcmalloc
ENV TCMALLOC_RELEASE_RATE=200