Dockerfile.tf-torch-cpu

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# Docker image file to build and test AIMET for both Tensorflow and PyTorch in a CPU environment
ARG REGISTRY
FROM ${REGISTRY}ubuntu:jammy

ARG DEBIAN_FRONTEND=noninteractive
ARG APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn

RUN apt-get update > /dev/null && \
    apt-get install --no-install-recommends -y \
        # Bare minimum Packages
        ca-certificates \
        git \
        ssh \
        sudo \
        wget \
        xterm \
        xauth > /dev/null && \
        rm -rf /var/lib/apt/lists/*

# Install certificates
RUN sudo update-ca-certificates

# Modified version of bash.bashrc that adjusts the prompt
### COPY bash.bashrc /etc/
### RUN chmod 644 /etc/bash.bashrc

### COPY profile.global /usr/local/etc/
### RUN chmod 555 /usr/local/etc/profile.global

# Add sudo support
RUN echo "%users ALL = (ALL) NOPASSWD: ALL" >> /etc/sudoers

RUN apt-get update -y > /dev/null && \
    apt-get install --no-install-recommends -y \
        # Python
        python3.10 \
        python3.10-dev \
        python3.10-venv \
        python3-pip \
        python3-setuptools \
        build-essential \
        # lmdb dependency
        libffi-dev && \
        rm -rf /var/lib/apt/lists/*

# Register the version in alternatives
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1
# Set python 3.10 as the default python
RUN update-alternatives --set python3 /usr/bin/python3.10

# Upgrade Python3 pip and install some more packages
RUN python3 -m pip --no-cache-dir install --upgrade \
        pip \
        setuptools==49.4.0 \
        wheel

# Ubuntu packages for tensorflow and pytorch aimet
RUN dpkg --add-architecture i386
RUN apt-get update > /dev/null && \
    apt-get install --no-install-recommends -y \
        build-essential \
        cmake \
        emacs \
        environment-modules \
        less \
        libavcodec-dev \
        libavformat-dev \
        libeigen3-dev \
        libgtest-dev \
        libgtk2.0-dev \
        libsox-dev \
        libsox-fmt-all \
        libstdc++6:i386 \
        libswscale-dev \
        libxtst6 \
        lsb-release \
        meld \
        nano \
        pandoc \
        pkg-config \
        python3-tk \
        sox \
        tree \
        unzip \
        vim && \
        rm -rf /var/lib/apt/lists/*

# Python3 Packages
RUN python3 -m pip --no-cache-dir install \
        astroid==2.5.6 \
        attrs>=19.1.0 \
        behave==1.2.6 \
        bert-tensorflow \
        blosc \
        cffi \
        click \
        cumm==0.2.8 \
        cython \
        dataclasses \
        Deprecated \
        deepspeed \
        docutils \
        furo \
        grpcio \
        grpcio-tools \
        h5py \
        ipykernel \
        ipython \
        Jinja2>=3.0.3 \
        jupyter \
        keras==2.10.0 \
        lmdb==1.2.1 \
        matplotlib>=3 \
        mock \
        nbsphinx \
        'numpy<1.24,>=1.20.5' \
        onnx~=1.16.1 \
        onnxscript \
        onnxsim \
        onnxruntime~=1.18.1 \
        onnxruntime-extensions \
        opencv-python \
        peft \
        Pillow==9.3.0 \
        pluggy==0.12.0 \
        # protobuf==3.20.1 \
        psutil \
        ptflops \
        pybind11 \
        pyDOE2 \
        pylint==2.8.3 \
        pymoo \
        pytest \
        pytest-cov \
        pytorch-ignite \
        PyYAML \
        safetensors \
        scikit-learn \
        scipy==1.8.1 \
        spconv==2.1.20 \
        sphinx \
        sphinx-autodoc-typehints \
        sphinx-copybutton \
        sphinx-design \
        sphinx-jinja \
        sphinx-rtd-theme \
        sphinx-tabs \
        timm==0.4.12 \
        torch==2.1.2+cpu -f https://download.pytorch.org/whl/torch_stable.html \
        torchaudio==2.1.2+cpu -f https://download.pytorch.org/whl/torch_stable.html \
        torchtext \
        torchvision==0.16.2+cpu -f https://download.pytorch.org/whl/torch_stable.html \
        tqdm \
        transformers \
        wget && \
    python3 -m ipykernel.kernelspec

# Onnxruntime C/C++ package needed to create custom C++ onnx ops for quantsim
RUN mkdir /opt/onnxruntime && \
    export ONNXRUNTIME_VER=$(python3 -c 'import onnxruntime; print(onnxruntime.__version__)') && \
    wget -qO- "https://github.com/microsoft/onnxruntime/releases/download/v${ONNXRUNTIME_VER}/onnxruntime-linux-x64-${ONNXRUNTIME_VER}.tgz" | tar xvz --strip-components 1 -C /opt/onnxruntime && \
    ln -s /opt/onnxruntime /usr/local/bin/onnxruntime_headers

ENV PATH=/usr/local/bin:$PATH

# Opencv
# Ref: https://docs.opencv.org/3.4.19/d7/d9f/tutorial_linux_install.html
RUN wget -q https://github.com/opencv/opencv/archive/refs/tags/3.4.19.tar.gz -O /tmp/3.4.19.tar.gz > /dev/null && \
    tar -C /tmp -xvf /tmp/3.4.19.tar.gz > /dev/null && \
    cd /tmp/opencv-3.4.19 && mkdir release && cd release && \
    cmake -DCMAKE_POSITION_INDEPENDENT_CODE=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_BUILD_TYPE=release -DWITH_FFMPEG=OFF -DBUILD_TESTS=OFF -DWITH_CUDA=OFF -DBUILD_PERF_TESTS=OFF -DWITH_IPP=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DWITH_ITT=OFF .. > /dev/null && \
    make -j16 > /dev/null && \
    make -j16 install > /dev/null && \
    rm -rf /tmp/opencv-3.4.19*

EXPOSE 25000
RUN apt-get update && apt-get install -y openssh-server && rm -rf /var/lib/apt/lists/*
RUN mkdir /var/run/sshd

RUN apt-get update && apt-get install -y libjpeg8-dev && \
    rm -rf /var/lib/apt/lists/*

# Set up symlink to point to the correct python version
RUN ln -sf /usr/bin/python3.10 /usr/bin/python
RUN ln -s /usr/lib/x86_64-linux-gnu/libjpeg.so /usr/lib

RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config && \
    sed -i 's/Port 22/Port 25000/' /etc/ssh/sshd_config

# SSH login fix. Otherwise user is kicked off after login
RUN sed 's@session\s*required\s*pam_loginuid.so@session optional pam_loginuid.so@g' -i /etc/pam.d/sshd

# Clone the tensorflow repo to enable development
RUN cd / && git clone --depth 1 --single-branch --branch v2.4.3 https://github.com/tensorflow/tensorflow.git

RUN python3 -m pip install git-pylint-commit-hook osqp twine

# NOTE: We need to pin the holoviews version to this since the latest version has a circular dependency on bokeh 2.0.0 through the panel package
RUN python3 -m pip install holoviews==1.18.3 netron jsonschema pandas==1.4.3

# Note: bokeh requires Pillow while we need to use Pillow-SIMD for performance reasons.
RUN python3 -m pip install bokeh==3.2.2 hvplot==0.9.2

# Remove existing Pillow & Pillow-SIMD and replace with correct version of Pillow-SIMD.
RUN python3 -m pip uninstall -y Pillow Pillow-SIMD
RUN python3 -m pip --no-cache-dir install Pillow-SIMD==9.0.0.post1

# Force-install the TensorFlow packages
RUN unset PIP_CONFIG_FILE && \
    python3 -m pip install --upgrade --force-reinstall --isolated \
        tensorboard==2.10.1 \
        tensorboardX==2.6 \
        tensorflow-cpu==2.10.1 \
        tensorflow-hub \
        tensorflow-model-optimization \
        tensorlayer==2.2.1

# Force-install the protobuf package
# The protobuf library is necessary for grpcio-tools, onnx, and tensorflow-cpu.
# Version protobuf==3.20.2 is compatible with all these packages.
RUN unset PIP_CONFIG_FILE && \
    python3 -m pip install --upgrade --force-reinstall --isolated \
        protobuf==3.20.2

RUN apt-get update && apt-get install -y gnupg2
RUN wget -O - http://llvm.org/apt/llvm-snapshot.gpg.key|sudo apt-key add - && echo "deb http://apt.llvm.org/jammy/ llvm-toolchain-jammy-14 main" >> /etc/apt/sources.list
RUN apt-get update --fix-missing -y && apt upgrade -y && apt-get install -y clang-11 clang-format clang-tidy-11 && \
   rm -rf /var/lib/apt/lists/*

# Create a version-less symbolic link for clang-tidy
RUN ln -s /usr/bin/run-clang-tidy-11.py /usr/bin/run-clang-tidy.py

# Provide write permission to the python package folder in order to install AIMET in editable mode
RUN chmod o+w /usr/local/lib/python3.10/dist-packages