A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 12:15 UTC
Fix: Python package installation for opentelmetry (#17049)
Signed-off-by: Dilip Gowda Bhagavan <dilip.bhagavan@ibm.com>
Dilip Gowda Bhagavan committed
Apr 30, 2025 at 01:50 UTC
c9c1b59e59a35d5004e3914e23015617fc330b31
1 file changed
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-1
docker/Dockerfile.s390x
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@@ -16,7 +16,7 @@ ENV LANG=C.UTF-8 \
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RUN microdnf install -y \
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which procps findutils tar vim git gcc gcc-gfortran g++ make patch zlib-devel \
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libjpeg-turbo-devel libtiff-devel libpng-devel libwebp-devel freetype-devel harfbuzz-devel \
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- openssl-devel openblas openblas-devel autoconf automake libtool cmake && \
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+ openssl-devel openblas openblas-devel autoconf automake libtool cmake numpy && \
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microdnf clean all
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# Python Installation
@@ -123,6 +123,7 @@ ENV UV_LINK_MODE=copy
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ENV CARGO_HOME=/root/.cargo
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ENV RUSTUP_HOME=/root/.rustup
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ENV PATH="$CARGO_HOME/bin:$RUSTUP_HOME/bin:$PATH"
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+ENV GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1
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COPY . /workspace/vllm
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WORKDIR /workspace/vllm