wehub-resource-sync
129 lines
4.4 KiB
Docker
129 lines
4.4 KiB
Docker
#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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ARG CUDA_VERSION=13.3.0
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FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04
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LABEL maintainer="NVIDIA CORPORATION"
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ENV TRT_VERSION 11.1.0.106
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SHELL ["/bin/bash", "-c"]
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# Setup user account
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ARG uid=1000
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ARG gid=1000
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RUN groupadd -r -f -g ${gid} trtuser && useradd -o -r -l -u ${uid} -g ${gid} -ms /bin/bash trtuser
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RUN usermod -aG sudo trtuser
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RUN echo 'trtuser:nvidia' | chpasswd
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RUN mkdir -p /workspace && chown trtuser /workspace
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# Required to build Ubuntu 22.04 without user prompts with DLFW container
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ENV DEBIAN_FRONTEND=noninteractive
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# Update CUDA signing key
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub
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# Install requried libraries
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RUN apt-get update && apt-get install -y software-properties-common
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libcurl4-openssl-dev \
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wget \
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git \
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pkg-config \
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sudo \
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ssh \
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libssl-dev \
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pbzip2 \
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pv \
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bzip2 \
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unzip \
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devscripts \
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lintian \
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fakeroot \
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dh-make \
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build-essential \
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libnccl2 \
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libnccl-dev \
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openmpi-bin \
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libopenmpi-dev \
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zstd \
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ccache
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# Install python3
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RUN apt-get install -y --no-install-recommends \
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python3 \
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python3-pip \
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python3-dev \
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python3-wheel &&\
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cd /usr/local/bin &&\
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ln -s /usr/bin/python3 python &&\
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ln -s /usr/bin/pip3 pip;
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# Install TensorRT
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RUN if [ "${CUDA_VERSION:0:2}" = "13" ]; then \
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wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/tars/TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-13.3-Release-external.tar.zst \
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&& tar -xf TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-13.3-Release-external.tar.zst \
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&& cp -a TensorRT-11.1.0.106/lib/*.so* /usr/lib/x86_64-linux-gnu \
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&& pip install TensorRT-11.1.0.106/python/tensorrt-11.1.0.106-cp310-none-linux_x86_64.whl ;\
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elif [ "${CUDA_VERSION:0:2}" = "12" ]; then \
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wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/tars/TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-12.9-Release-external.tar.zst \
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&& tar -xf TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-12.9-Release-external.tar.zst \
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&& cp -a TensorRT-11.1.0.106/lib/*.so* /usr/lib/x86_64-linux-gnu \
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&& pip install TensorRT-11.1.0.106/python/tensorrt-11.1.0.106-cp310-none-linux_x86_64.whl ;\
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else \
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echo "Invalid CUDA_VERSION"; \
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exit 1; \
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fi
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# Install PyPI packages
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RUN pip3 install --upgrade pip
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RUN pip3 install setuptools>=41.0.0
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RUN pip3 install jupyter jupyterlab
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# Workaround to remove numpy installed with tensorflow
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RUN pip3 install --upgrade numpy
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# Install Cmake
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RUN cd /tmp && \
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wget https://github.com/Kitware/CMake/releases/download/v3.31.11/cmake-3.31.11-Linux-x86_64.sh && \
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chmod +x cmake-3.31.11-Linux-x86_64.sh && \
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./cmake-3.31.11-Linux-x86_64.sh --prefix=/usr/local --exclude-subdir --skip-license && \
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rm ./cmake-3.31.11-Linux-x86_64.sh
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# Install gtest
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RUN cd /tmp && \
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git clone https://github.com/google/googletest.git -b v1.14.0 && \
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cd googletest && \
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mkdir build && cd build && \
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cmake .. && \
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make -j4 && \
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make install && \
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rm -rf /tmp/googletest
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# Download NGC client
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RUN cd /usr/local/bin && wget https://ngc.nvidia.com/downloads/ngccli_cat_linux.zip && unzip ngccli_cat_linux.zip && chmod u+x ngc-cli/ngc && rm ngccli_cat_linux.zip ngc-cli.md5 && echo "no-apikey\nascii\n" | ngc-cli/ngc config set
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# Set environment and working directory
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ENV TRT_LIBPATH /usr/lib/x86_64-linux-gnu
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ENV TRT_OSSPATH /workspace/TensorRT
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ENV PATH="/workspace/TensorRT/build/out:${PATH}:/usr/local/bin/ngc-cli"
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ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:${TRT_OSSPATH}/build/out:${TRT_LIBPATH}"
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WORKDIR /workspace
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USER trtuser
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RUN ["/bin/bash"]
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