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Dockerfile.devel-gpu
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Dockerfile.devel-gpu
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# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
FROM nvidia/cuda:12.2.0-base-ubuntu20.04 as base_build
ARG TF_SERVING_VERSION_GIT_BRANCH=master
ARG TF_SERVING_VERSION_GIT_COMMIT=HEAD
ARG DEBIAN_FRONTEND=noninteractive
LABEL maintainer=gvasudevan@google.com
LABEL tensorflow_serving_github_branchtag=${TF_SERVING_VERSION_GIT_BRANCH}
LABEL tensorflow_serving_github_commit=${TF_SERVING_VERSION_GIT_COMMIT}
ENV CUDNN_VERSION=8.9.4.25
ENV TF_TENSORRT_VERSION=8.6.1
ENV CUDA=12.2
RUN apt-get update && apt-get install -y --no-install-recommends \
curl
# Download TF Serving sources (optionally at specific commit).
WORKDIR /tensorflow-serving
RUN curl -sSL --retry 5 https://github.com/tensorflow/serving/tarball/${TF_SERVING_VERSION_GIT_COMMIT} | tar --strip-components=1 -xzf -
RUN /tensorflow-serving/tensorflow_serving/tools/docker/setup.sources.sh
RUN apt-get install -y --no-install-recommends \
cuda-command-line-tools-12-2 \
cuda-cudart-dev-12-2 \
cuda-nvcc-12-2 \
cuda-cupti-12-2 \
cuda-nvprune-12-2 \
cuda-libraries-12-2 \
cuda-libraries-dev-12-2 \
cuda-nvml-dev-12-2 \
libcufft-12-2 \
libcurand-12-2 \
libcusolver-dev-12-2 \
libcusparse-dev-12-2 \
libcublas-12-2 \
libcublas-dev-12-2 \
libnccl-dev=2.18.5-1+cuda12.2 \
libnccl2=2.18.5-1+cuda12.2 \
libcudnn8-dev=8.9.4.25-1+cuda12.2 \
libcudnn8=8.9.4.25-1+cuda12.2 \
libnvinfer-plugin8=8.6.1.6-1+cuda12.0 \
libnvinfer8=8.6.1.6-1+cuda12.0 \
libnvinfer-dev=8.6.1.6-1+cuda12.0 \
libnvinfer-headers-dev=8.6.1.6-1+cuda12.0 \
libnvinfer-plugin-dev=8.6.1.6-1+cuda12.0 \
libnvinfer-headers-plugin-dev=8.6.1.6-1+cuda12.0 \
automake \
build-essential \
ca-certificates \
libcufft-dev-12-2 \
libcurand-dev-12-2 \
libcusolver-dev-12-2 \
libcusparse-dev-12-2 \
clang-17 \
llvm-17 \
lld-17 \
git \
libfreetype6-dev \
libtool \
libcurl3-dev \
libzmq3-dev \
mlocate \
openjdk-8-jdk\
openjdk-8-jre-headless \
pkg-config \
python-dev \
software-properties-common \
swig \
unzip \
wget \
zip \
zlib1g-dev \
python3-distutils \
python-distutils-extra && \
find /usr/local/cuda-12.2/lib64/ -type f -name 'lib*_static.a' -not -name 'libcudart_static.a' -delete
# Install python 3.9.
RUN add-apt-repository ppa:deadsnakes/ppa && \
apt-get update && apt-get install -y \
python3.9 python3.9-dev python3-pip python3.9-venv && \
rm -rf /var/lib/apt/lists/* && \
python3.9 -m pip install pip --upgrade && \
update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 0
# Make python3.9 the default python version
# If updating default python version, also update version in the WORKSPACE file.
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.9 0
RUN curl -fSsL -O https://bootstrap.pypa.io/get-pip.py && \
python3 get-pip.py && \
rm get-pip.py
RUN pip3 --no-cache-dir install \
future>=0.17.1 \
grpcio \
h5py \
keras_applications>=1.0.8 \
keras_preprocessing>=1.1.0 \
mock \
numpy \
portpicker \
requests \
--ignore-installed six>=1.12.0
# Set up Bazel
ENV BAZEL_VERSION 6.4.0
WORKDIR /
RUN mkdir /bazel && \
cd /bazel && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -O https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -o /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \
chmod +x bazel-*.sh && \
./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
cd / && \
rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh
# Build TensorFlow with the CUDA configuration
ENV CI_BUILD_PYTHON python
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:/usr/include/x86_64-linux-gnu:/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
# Fix paths so that CUDNN can be found: https://github.com/tensorflow/tensorflow/issues/8264
WORKDIR /
RUN mkdir /usr/lib/x86_64-linux-gnu/include/ && \
ln -s /usr/include/cudnn.h /usr/local/cuda/include/cudnn.h && \
ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so /usr/local/cuda/lib64/libcudnn.so && \
ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so.${TF_CUDNN_VERSION} /usr/local/cuda/lib64/libcudnn.so.${TF_CUDNN_VERSION}
# For backward compatibility we need this line. After 1.13 we can safely remove
# it.
ENV TF_NCCL_VERSION=
# Set TMP for nvidia build environment
ENV TMP="/tmp"
WORKDIR /tensorflow-serving
FROM base_build as binary_build
# Build, and install TensorFlow Serving
ARG TF_SERVING_BUILD_OPTIONS="--config=release"
RUN echo "Building with build options: ${TF_SERVING_BUILD_OPTIONS}"
ARG TF_SERVING_BAZEL_OPTIONS=""
RUN echo "Building with Bazel options: ${TF_SERVING_BAZEL_OPTIONS}"
RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs:${LD_LIBRARY_PATH} \
bazel build --color=yes --curses=yes --config=cuda_clang --copt="-fPIC"\
${TF_SERVING_BAZEL_OPTIONS} \
--verbose_failures \
--output_filter=DONT_MATCH_ANYTHING \
${TF_SERVING_BUILD_OPTIONS} \
tensorflow_serving/model_servers:tensorflow_model_server && \
cp bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server \
/usr/local/bin/ && \
rm /usr/local/cuda/lib64/stubs/libcuda.so.1
# Build and install TensorFlow Serving API
RUN bazel build --color=yes --curses=yes \
${TF_SERVING_BAZEL_OPTIONS} \
--verbose_failures \
--output_filter=DONT_MATCH_ANYTHING \
${TF_SERVING_BUILD_OPTIONS} \
tensorflow_serving/tools/pip_package:build_pip_package && \
bazel-bin/tensorflow_serving/tools/pip_package/build_pip_package \
/tmp/pip && \
pip --no-cache-dir install --upgrade \
/tmp/pip/tensorflow_serving_api_gpu-*.whl && \
rm -rf /tmp/pip
FROM binary_build as clean_build
# Clean up Bazel cache when done.
RUN bazel clean --expunge --color=yes && \
rm -rf /root/.cache
CMD ["/bin/bash"]