# docker build --network=host --file Dockerfile.rocm4.3.1.pytorch --tag ort:rocm4.3.1-pytorch . FROM rocm/pytorch:rocm4.3.1_ubuntu18.04_py3.6_pytorch_1.9.0 RUN apt-get -y install gpg-agent RUN wget -q -O - http://repo.radeon.com/rocm/rocm.gpg.key | apt-key add - RUN echo 'deb [arch=amd64] http://repo.radeon.com/rocm/apt/4.3.1 xenial main' | tee /etc/apt/sources.list.d/rocm.list RUN apt-get -y update RUN apt-get -y install apt-utils RUN apt-get -y install build-essential autotools-dev \ make git curl vim wget rsync jq openssh-server openssh-client sudo \ iputils-ping net-tools ethtool libcap2 \ automake autoconf libtool flex doxygen \ perl lsb-release iproute2 pciutils graphviz \ bc tar git bash pbzip2 pv bzip2 unzip cabextract \ g++ gcc \ && apt-get autoremove # sh RUN rm /bin/sh && ln -s /bin/bash /bin/sh # Labels for the docker LABEL description="This docker sets up the environment to run ORT Training with AMD GPU" # CMake ENV CMAKE_VERSION=3.18.2 RUN cd /usr/local && \ wget -q -O - https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-Linux-x86_64.tar.gz | tar zxf - ENV PATH=/usr/local/cmake-${CMAKE_VERSION}-Linux-x86_64/bin:${PATH} ENV WORKSPACE_DIR=/workspace RUN mkdir -p $WORKSPACE_DIR WORKDIR $WORKSPACE_DIR ENV OLD_PATH=${PATH} ENV PATH=/usr/bin:${PATH} # Infiniband setup, openmpi installed under /usr/mpi/gcc/openmpi-4.0.4rc3 doesn't support multi-thread ENV MOFED_VERSION=5.1-0.6.6.0 ENV MOFED_OS=ubuntu18.04 ENV MOFED_FILENAME=MLNX_OFED_LINUX-${MOFED_VERSION}-${MOFED_OS}-x86_64 RUN curl -fSsL https://www.mellanox.com/downloads/ofed/MLNX_OFED-${MOFED_VERSION}/${MOFED_FILENAME}.tgz | tar -zxpf - RUN cd MLNX_OFED_LINUX-${MOFED_VERSION}-${MOFED_OS}-x86_64 && \ ./mlnxofedinstall --force --user-space-only --without-fw-update --hpc && \ cd .. && \ rm -r MLNX_OFED_LINUX-${MOFED_VERSION}-${MOFED_OS}-x86_64 ENV PATH=${OLD_PATH} ENV unset=OLD_PATH # python env RUN pip3 install --upgrade setuptools ARG NUMPY_VERSION=1.18.5 ARG ONNX_VERSION=1.10.2 RUN pip3 install --no-cache-dir wheel tqdm boto3 requests six ipdb h5py html2text nltk progressbar pyyaml \ git+https://github.com/NVIDIA/dllogger \ numpy==${NUMPY_VERSION} \ onnx=="${ONNX_VERSION}" ENV GITHUB_DIR=$WORKSPACE_DIR/github RUN mkdir -p $GITHUB_DIR # UCX WORKDIR $GITHUB_DIR RUN apt-get -y update && apt-get -y --no-install-recommends install libnuma-dev ARG UCX_VERSION=1.9.0-rc3 ENV UCX_DIR=$WORKSPACE_DIR/ucx-$UCX_VERSION RUN git clone https://github.com/openucx/ucx.git \ && cd ucx \ && git checkout v$UCX_VERSION \ && ./autogen.sh \ && mkdir build \ && cd build \ && ../contrib/configure-opt --prefix=$UCX_DIR --without-rocm --without-knem --without-cuda \ && make -j"$(nproc)" \ && make install \ && cd .. \ && rm -rf build # OpenMPI # note: require --enable-orterun-prefix-by-default for Azure machine learning compute # note: disable verbs as we use ucx middleware and don't want btl openib warnings WORKDIR $GITHUB_DIR ARG OPENMPI_BASEVERSION=4.0 ARG OPENMPI_VERSION=${OPENMPI_BASEVERSION}.5 ENV OPENMPI_DIR=$WORKSPACE_DIR/openmpi-${OPENMPI_VERSION} RUN git clone --recursive https://github.com/open-mpi/ompi.git \ && cd ompi \ && git checkout v$OPENMPI_VERSION \ && ./autogen.pl \ && mkdir build \ && cd build \ && ../configure --prefix=$OPENMPI_DIR --with-ucx=$UCX_DIR --without-verbs \ --enable-mpirun-prefix-by-default --enable-orterun-prefix-by-default \ --enable-mca-no-build=btl-uct --disable-mpi-fortran \ && make -j"$(nproc)" \ && make install \ && cd .. \ && rm -rf build \ && ldconfig \ && test -f ${OPENMPI_DIR}/bin/mpic++ ENV PATH=$OPENMPI_DIR/bin:${PATH} ENV LD_LIBRARY_PATH=$OPENMPI_DIR/lib:${LD_LIBRARY_PATH} # Create a wrapper for OpenMPI to allow running as root by default RUN mv $OPENMPI_DIR/bin/mpirun $OPENMPI_DIR/bin/mpirun.real && \ echo '#!/bin/bash' > $OPENMPI_DIR/bin/mpirun && \ echo 'mpirun.real --allow-run-as-root "$@"' >> $OPENMPI_DIR/bin/mpirun && \ chmod a+x $OPENMPI_DIR/bin/mpirun # install mpi4py (be sure to link existing /opt/openmpi-xxx) RUN CC=mpicc MPICC=mpicc pip install mpi4py --no-binary mpi4py ARG CACHE_DATA=2021-10-25 # ONNX Runtime WORKDIR $GITHUB_DIR ENV ORT_DIR=$GITHUB_DIR/onnxruntime RUN git clone -b wezhan/tnlrv4 --recursive https://github.com/microsoft/onnxruntime.git \ && cd onnxruntime \ && python3 tools/ci_build/build.py \ --cmake_extra_defines ONNXRUNTIME_VERSION=`cat ./VERSION_NUMBER` \ --build_dir build \ --config Release \ --parallel \ --skip_tests \ --build_wheel \ --use_rocm --rocm_version=4.3.1 --rocm_home /opt/rocm \ --mpi_home $OPENMPI_DIR \ --nccl_home /opt/rocm \ --enable_training \ && test -f $ORT_DIR/build/Release/onnxruntime_training_bert \ && pip install $ORT_DIR/build/Release/dist/*.whl \ && ldconfig RUN pip3 install --no-cache-dir GPUtil azureml azureml-core datasets tokenizers ninja cerberus sympy sacremoses sacrebleu RUN pip install transformers==2.10.0 scikit-learn tensorboardX RUN pip install --pre torch-ort -f https://download.onnxruntime.ai/torch_ort_nightly.html RUN python -m torch_ort.configure # Enable ssh access without password needed RUN sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/g' /etc/ssh/sshd_config RUN sed -i 's/#StrictModes yes/StrictModes no/g' /etc/ssh/sshd_config RUN sed -i 's/#PubkeyAuthentication yes/PubkeyAuthentication yes/g' /etc/ssh/sshd_config RUN sed -i 's/#PermitEmptyPasswords no/PermitEmptyPasswords yes/g' /etc/ssh/sshd_config # Start or Restart sshd service ENTRYPOINT service ssh restart && /bin/bash # Add model and scripts ADD script ${WORKSPACE_DIR}/script RUN chmod a+x ${WORKSPACE_DIR}/script/run_bert.sh # add locale en_US.UTF-8 RUN apt-get install -y locales RUN locale-gen en_US.UTF-8 # Workaround an issue in AMD compiler which generates poor GPU ISA # when the type of kernel parameter is a structure and “pass-by-value” is used # ENV HSA_NO_SCRATCH_RECLAIM=1 # Distributed training related environment variables ENV HSA_FORCE_FINE_GRAIN_PCIE=1 # ENV NCCL_DEBUG=INFO # ENV RCCL_ALLTOALL_KERNEL_DISABLE=1 # ENV NCCL_DEBUG_SUBSYS=INIT,COLL WORKDIR ${WORKSPACE_DIR}/script