53 lines
1.6 KiB
Docker
53 lines
1.6 KiB
Docker
FROM fedora:rawhide
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# Install build dependencies and tools
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RUN dnf install -y \
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make gcc cmake lld clang clang-devel compiler-rt libcurl-devel \
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rocminfo radeontop 'rocm-*' 'rocblas-*' 'hipblas' 'hipblas-*' \
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git vim rsync \
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&& dnf clean all
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WORKDIR /opt/
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RUN git clone -b release/rocm-rel-7.0 https://github.com/ROCm/rocWMMA.git
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RUN sudo mkdir -p /usr/include/rocwmma
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RUN sudo rsync -a rocWMMA/library/include/rocwmma/ /usr/include/rocwmma/
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# Set up working directory
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WORKDIR /opt/llama.cpp
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# Clone llama.cpp repository (with submodules)
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RUN git clone --recursive https://github.com/ggerganov/llama.cpp.git .
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# Build llama.cpp with HIP support
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RUN git clean -xdf \
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&& git pull \
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&& git submodule update --recursive \
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&& \
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# Configure and compile with HIP toolchain
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HIPCXX="$(hipconfig -l)/clang" HIP_PATH="$(hipconfig -R)" \
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cmake -S . -B build \
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-DGGML_HIP=ON \
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-DAMDGPU_TARGETS=gfx1151 \
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-DCMAKE_BUILD_TYPE=Release \
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-DLLAMA_HIP_UMA=ON \
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-DGGML_HIP_ROCWMMA_FATTN=ON \
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&& cmake --build build --config Release -- -j$(nproc) \
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&& cmake --install build --config Release
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RUN find /opt/llama.cpp/build -type f -name 'lib*.so*' -exec cp {} /usr/lib64/ \; \
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&& ldconfig
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COPY gguf-vram-estimator.py /usr/local/bin/gguf-vram-estimator.py
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RUN chmod +x /usr/local/bin/gguf-vram-estimator.py
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# Ensure we are using hipblaslt
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RUN printf '%s\n' \
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'export ROCBLAS_USE_HIPBLASLT=1' \
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> /etc/profile.d/rocm.sh \
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&& chmod +x /etc/profile.d/rocm.sh \
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&& echo 'source /etc/profile.d/rocm.sh' >> /etc/bashrc
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# Default to interactive shell
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CMD ["/bin/bash"]
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