wehub-resource-sync
116 lines
3.6 KiB
Docker
116 lines
3.6 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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ARG OS_VERSION=24.04
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FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${OS_VERSION}
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LABEL maintainer="NVIDIA CORPORATION"
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ENV TRT_VERSION 11.1.0.106
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ENV DEBIAN_FRONTEND=noninteractive
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# Setup user account and edit default account
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RUN if id "ubuntu" &>/dev/null; then \
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usermod -u 1234 ubuntu && \
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groupmod -g 1234 ubuntu; \
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fi
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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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# Install requried libraries + aarch64 toolchains
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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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pbzip2 \
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pv \
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bzip2 \
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unzip \
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build-essential \
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g++-aarch64-linux-gnu \
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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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python3-venv &&\
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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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# Create python3 virtualenv
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RUN python3 -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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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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# Install CUDA cross compile toolchain
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RUN wget https://developer.download.nvidia.com/compute/cuda/13.3.0/local_installers/cuda-repo-cross-sbsa-ubuntu2404-13-3-local_13.3.0-1_all.deb && \
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dpkg -i cuda-repo-cross-sbsa-ubuntu2404-13-3-local_13.3.0-1_all.deb && \
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cp /var/cuda-repo-cross-sbsa-ubuntu2404-13-3-local/cuda-*-keyring.gpg /usr/share/keyrings/ && \
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apt-get update && \
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apt-get -y install cuda-cross-sbsa-13-3
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# Unpack libnvinfer.
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RUN wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/tars/TensorRT-Enterprise-11.1.0.106-Linux-aarch64-cuda-13.3-Release-external.tar.zst && \
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tar -xf TensorRT-Enterprise-11.1.0.106-Linux-aarch64-cuda-13.3-Release-external.tar.zst && \
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cp -a TensorRT-11.1.0.106/lib/*.so* /usr/lib/aarch64-linux-gnu
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# Link required library
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RUN cd /usr/aarch64-linux-gnu/lib && ln -sf librt.so.1 librt.so
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# Set environment and working directory
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ENV TRT_LIBPATH /usr/lib/aarch64-linux-gnu
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ENV TRT_OSSPATH /workspace/TensorRT
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WORKDIR /workspace
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USER trtuser
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RUN ["/bin/bash"]
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