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https://github.com/saymrwulf/onnxruntime.git
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c311d1faf5
3 changed files with 8 additions and 43 deletions
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@ -5,57 +5,22 @@
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# Dockerfile to run ONNXRuntime with MIGraphX integration
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#--------------------------------------------------------------------------
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FROM ubuntu:20.04
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FROM rocm/pytorch:rocm6.0_ubuntu20.04_py3.9_pytorch_2.1.1
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ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
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ARG ONNXRUNTIME_BRANCH=main
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ARG ROCM_VERSION=5.4
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# MIGraphX version should be the same as ROCm version
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ARG MIGRAPHX_VERSION=rocm-5.4.0
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ENV DEBIAN_FRONTEND noninteractive
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ENV MIGRAPHX_DISABLE_FAST_GELU=1
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RUN apt-get clean && apt-get update && apt-get install -y locales
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RUN locale-gen en_US.UTF-8
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RUN update-locale LANG=en_US.UTF-8
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ENV LC_ALL C.UTF-8
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ENV LANG C.UTF-8
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# Install rocm
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RUN apt-get update && apt-get install -y gnupg2 --no-install-recommends curl && \
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curl -sL http://repo.radeon.com/rocm/rocm.gpg.key | apt-key add - && \
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sh -c 'echo deb [arch=amd64] http://repo.radeon.com/rocm/apt/${ROCM_VERSION}/ ubuntu main > /etc/apt/sources.list.d/rocm.list'
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ENV PATH /code/cmake-3.27.3-linux-x86_64/bin:${PATH}
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RUN apt-get update &&\
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apt-get install -y sudo git bash build-essential rocm-dev python3-dev python3-pip miopen-hip \
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rocblas half aria2 libnuma-dev pkg-config
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RUN aria2c -q -d /tmp -o cmake-3.27.3-linux-x86_64.tar.gz \
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https://github.com/Kitware/CMake/releases/download/v3.27.3/cmake-3.27.3-linux-x86_64.tar.gz &&\
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tar -zxf /tmp/cmake-3.27.3-linux-x86_64.tar.gz --strip=1 -C /usr
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# Install rbuild
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RUN pip3 install https://github.com/RadeonOpenCompute/rbuild/archive/master.tar.gz numpy yapf==0.28.0
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ENV PATH /opt/miniconda/bin:/code/cmake-3.27.3-linux-x86_64/bin:${PATH}
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# Install MIGraphX from source
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RUN mkdir -p /migraphx
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RUN cd /migraphx && git clone --depth=1 --branch ${MIGRAPHX_VERSION} https://github.com/ROCmSoftwarePlatform/AMDMIGraphX src
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RUN cd /migraphx && rbuild package --cxx /opt/rocm/llvm/bin/clang++ -d /migraphx/deps -B /migraphx/build -S /migraphx/src/ -DPYTHON_EXECUTABLE=/usr/bin/python3
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RUN dpkg -i /migraphx/build/*.deb
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RUN rm -rf /migraphx
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# Install rocm ep dependencies
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RUN apt-get update &&\
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apt-get install -y rocrand rccl hipsparse hipfft hipcub hipblas rocthrust
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apt-get install -y migraphx
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WORKDIR /code
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# Prepare onnxruntime repository & build onnxruntime
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RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXRUNTIME_REPO} onnxruntime &&\
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/bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh &&\
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cd onnxruntime &&\
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cd onnxruntime && pip install --upgrade pip &&\
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/bin/sh ./build.sh --allow_running_as_root --cmake_extra_defines ONNXRUNTIME_VERSION=`cat ./VERSION_NUMBER` --config Release --parallel \
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--skip_tests --build_wheel --use_rocm --rocm_version=${ROCM_VERSION} --rocm_home /opt/rocm --use_migraphx &&\
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pip install /code/onnxruntime/build/Linux/Release/dist/*.whl
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@ -5,14 +5,14 @@
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# Dockerfile to run ONNXRuntime with ROCm integration
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#--------------------------------------------------------------------------
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FROM rocm/pytorch:rocm5.4_ubuntu20.04_py3.7_pytorch_1.12.1
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FROM rocm/pytorch:rocm6.0_ubuntu20.04_py3.9_pytorch_2.1.1
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ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
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ARG ONNXRUNTIME_BRANCH=main
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WORKDIR /code
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ENV PATH /opt/miniconda/bin:/code/cmake-3.27.3-linux-x86_64/bin:${PATH}
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ENV PATH /code/cmake-3.27.3-linux-x86_64/bin:${PATH}
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# Prepare onnxruntime repository & build onnxruntime
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RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXRUNTIME_REPO} onnxruntime &&\
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@ -277,7 +277,7 @@ Nothing else from ONNX Runtime source tree will be copied/installed to the image
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Note: When running the container you built in Docker, please either use 'nvidia-docker' command instead of 'docker', or use Docker command-line options to make sure NVIDIA runtime will be used and appropiate files mounted from host. Otherwise, CUDA libraries won't be found. You can also [set NVIDIA runtime as default in Docker](https://github.com/dusty-nv/jetson-containers#docker-default-runtime).
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## MIGraphX
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**Ubuntu 20.04, ROCm5.4, AMDMIGraphX v1.2**
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**Ubuntu 20.04, ROCm6.0, MIGraphX**
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1. Build the docker image from the Dockerfile in this repository.
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```
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@ -291,7 +291,7 @@ Note: When running the container you built in Docker, please either use 'nvidia-
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```
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## ROCm
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**Ubuntu 20.04, ROCm5.4**
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**Ubuntu 20.04, ROCm6.0**
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1. Build the docker image from the Dockerfile in this repository.
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```
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