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Dockerfile-cuda
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FROM nvidia/cuda:12.2.0-devel-ubuntu22.04 AS base-builder
ENV SCCACHE=0.5.4
ENV RUSTC_WRAPPER=/usr/local/bin/sccache
ENV PATH="/root/.cargo/bin:${PATH}"
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
curl \
libssl-dev \
pkg-config \
&& rm -rf /var/lib/apt/lists/*
# Donwload and configure sccache
RUN curl -fsSL https://github.com/mozilla/sccache/releases/download/v$SCCACHE/sccache-v$SCCACHE-x86_64-unknown-linux-musl.tar.gz | tar -xzv --strip-components=1 -C /usr/local/bin sccache-v$SCCACHE-x86_64-unknown-linux-musl/sccache && \
chmod +x /usr/local/bin/sccache
RUN curl https://sh.rustup.rs -sSf | bash -s -- -y
RUN cargo install cargo-chef --locked
FROM base-builder AS planner
WORKDIR /usr/src
COPY backends backends
COPY core core
COPY router router
COPY Cargo.toml ./
COPY Cargo.lock ./
RUN cargo chef prepare --recipe-path recipe.json
FROM base-builder AS builder
ARG CUDA_COMPUTE_CAP=80
ARG GIT_SHA
ARG DOCKER_LABEL
# sccache specific variables
ARG ACTIONS_CACHE_URL
ARG ACTIONS_RUNTIME_TOKEN
ARG SCCACHE_GHA_ENABLED
WORKDIR /usr/src
RUN if [ ${CUDA_COMPUTE_CAP} -ge 75 -a ${CUDA_COMPUTE_CAP} -lt 80 ]; \
then \
nvprune --generate-code code=sm_${CUDA_COMPUTE_CAP} /usr/local/cuda/lib64/libcublas_static.a -o /usr/local/cuda/lib64/libcublas_static.a; \
elif [ ${CUDA_COMPUTE_CAP} -ge 80 -a ${CUDA_COMPUTE_CAP} -lt 90 ]; \
then \
nvprune --generate-code code=sm_80 --generate-code code=sm_${CUDA_COMPUTE_CAP} /usr/local/cuda/lib64/libcublas_static.a -o /usr/local/cuda/lib64/libcublas_static.a; \
elif [ ${CUDA_COMPUTE_CAP} -eq 90 ]; \
then \
nvprune --generate-code code=sm_90 /usr/local/cuda/lib64/libcublas_static.a -o /usr/local/cuda/lib64/libcublas_static.a; \
else \
echo "cuda compute cap ${CUDA_COMPUTE_CAP} is not supported"; exit 1; \
fi;
COPY --from=planner /usr/src/recipe.json recipe.json
RUN if [ ${CUDA_COMPUTE_CAP} -ge 75 -a ${CUDA_COMPUTE_CAP} -lt 80 ]; \
then \
cargo chef cook --release --features candle-cuda-turing --features static-linking --no-default-features --recipe-path recipe.json && sccache -s; \
else \
cargo chef cook --release --features candle-cuda --features static-linking --no-default-features --recipe-path recipe.json && sccache -s; \
fi;
COPY backends backends
COPY core core
COPY router router
COPY Cargo.toml ./
COPY Cargo.lock ./
FROM builder as http-builder
RUN if [ ${CUDA_COMPUTE_CAP} -ge 75 -a ${CUDA_COMPUTE_CAP} -lt 80 ]; \
then \
cargo build --release --bin text-embeddings-router -F candle-cuda-turing -F static-linking -F http --no-default-features && sccache -s; \
else \
cargo build --release --bin text-embeddings-router -F candle-cuda -F static-linking -F http --no-default-features && sccache -s; \
fi;
FROM builder as grpc-builder
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
unzip \
&& rm -rf /var/lib/apt/lists/*
RUN PROTOC_ZIP=protoc-21.12-linux-x86_64.zip && \
curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v21.12/$PROTOC_ZIP && \
unzip -o $PROTOC_ZIP -d /usr/local bin/protoc && \
unzip -o $PROTOC_ZIP -d /usr/local 'include/*' && \
rm -f $PROTOC_ZIP
COPY proto proto
RUN if [ ${CUDA_COMPUTE_CAP} -ge 75 -a ${CUDA_COMPUTE_CAP} -lt 80 ]; \
then \
cargo build --release --bin text-embeddings-router -F candle-cuda-turing -F static-linking -F grpc --no-default-features && sccache -s; \
else \
cargo build --release --bin text-embeddings-router -F candle-cuda -F static-linking -F grpc --no-default-features && sccache -s; \
fi;
FROM nvidia/cuda:12.2.0-base-ubuntu22.04 as base
ARG DEFAULT_USE_FLASH_ATTENTION=True
ENV HUGGINGFACE_HUB_CACHE=/data \
PORT=80 \
USE_FLASH_ATTENTION=$DEFAULT_USE_FLASH_ATTENTION
FROM base as grpc
COPY --from=grpc-builder /usr/src/target/release/text-embeddings-router /usr/local/bin/text-embeddings-router
ENTRYPOINT ["text-embeddings-router"]
CMD ["--json-output"]
FROM base
COPY --from=http-builder /usr/src/target/release/text-embeddings-router /usr/local/bin/text-embeddings-router
ENTRYPOINT ["text-embeddings-router"]
CMD ["--json-output"]