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https://github.com/saymrwulf/onnxruntime.git
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ab2dd8dfaf
Update ROCm and MigraphX CI to ROCm5.4 Run ortmodule_test with ROCm5.4 and all passed(https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=824742&view=logs&j=8292f886-7946-5da9-7977-04484c342eda&t=5de68eaa-cbdc-5be5-13d0-bb946f4ddb2d). Co-authored-by: peixuanzuo <peixuanzuo@linmif39a000004.zvflicr54joexhdgnhvmxrxygg.phxx.internal.cloudapp.net>
43 lines
1.2 KiB
Docker
43 lines
1.2 KiB
Docker
FROM rocm/pytorch:rocm5.4_ubuntu20.04_py3.7_pytorch_1.12.1
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WORKDIR /stage
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# from rocm/pytorch's image, work around ucx's dlopen replacement conflicting with shared provider
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RUN cd /opt/mpi_install/ucx/build &&\
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make clean &&\
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../contrib/configure-release --prefix=/opt/ucx --without-rocm &&\
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make -j $(nproc) &&\
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make install
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# CMake
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ENV CMAKE_VERSION=3.24.2
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RUN cd /usr/local && \
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wget -q -O - https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-Linux-x86_64.tar.gz | tar zxf -
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ENV PATH=/usr/local/cmake-${CMAKE_VERSION}-linux-x86_64/bin:${PATH}
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# rocm-ci branch contains instrumentation needed for loss curves and perf
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RUN git clone https://github.com/microsoft/huggingface-transformers.git &&\
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cd huggingface-transformers &&\
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git checkout rocm-ci &&\
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pip install -e .
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RUN pip install \
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numpy \
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onnx \
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cerberus \
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sympy \
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h5py \
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datasets==1.9.0 \
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requests \
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sacrebleu==1.5.1 \
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sacremoses \
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scipy \
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scikit-learn \
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tokenizers \
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sentencepiece \
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dill==0.3.4 \
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wget \
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pytorch_lightning==1.6.0
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RUN pip install torch-ort --no-dependencies
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ENV ORTMODULE_ONNX_OPSET_VERSION=15
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