still working on dockerfile
This commit is contained in:
parent
170c912d71
commit
4c49aa525a
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@ -1,3 +1,7 @@
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# syntax = docker/dockerfile:experimental
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# DOCKER_BUILDKIT=1 DOCKER_CLI_EXPERIMENTAL=enabled
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# Rust builder
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FROM lukemathwalker/cargo-chef:latest-rust-1.71 AS chef
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WORKDIR /usr/src
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@ -40,16 +44,13 @@ RUN cargo build --release
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# Python builder
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# Adapted from: https://github.com/pytorch/pytorch/blob/master/Dockerfile
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# FROM debian:bullseye-slim as pytorch-install
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FROM nvidia/cuda:11.8.0-devel-ubuntu20.04 as pytorch-install
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FROM ubuntu:20.04 as dev-base
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# FROM nvidia/cuda:11.8.0-devel-ubuntu20.04 as pytorch-build
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ARG PYTORCH_VERSION=2.0.1
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ARG PYTHON_VERSION=3.9
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# Keep in sync with `server/pyproject.toml
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ARG CUDA_VERSION=11.8
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ARG MAMBA_VERSION=23.1.0-1
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ARG CUDA_CHANNEL=nvidia
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ARG INSTALL_CHANNEL=pytorch
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# Automatically set by buildx
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ARG TARGETPLATFORM
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@ -58,24 +59,26 @@ ENV PATH /opt/conda/bin:$PATH
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RUN apt-get update
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends gnupg2
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# Add new repo to install gcc 11 on Ubuntu 20.04
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RUN echo "deb http://ppa.launchpad.net/ubuntu-toolchain-r/test/ubuntu focal main" >> /etc/apt/sources.list && \
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apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 60C317803A41BA51845E371A1E9377A2BA9EF27F && \
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apt-get update
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RUN DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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gcc-11 \
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g++-11 \
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build-essential \
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ca-certificates \
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ccache \
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cmake \
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curl \
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git \
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cmake \
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libjpeg-dev \
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libpng-dev \
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ninja-build \
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&& rm -rf /var/lib/apt/lists/*
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libjpeg-dev \
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libpng-dev && \
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rm -rf /var/lib/apt/lists/*
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RUN /usr/sbin/update-ccache-symlinks
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RUN mkdir /opt/ccache && ccache --set-config=cache_dir=/opt/ccache
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ENV PATH /opt/conda/bin:$PATH
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@ -84,38 +87,43 @@ ENV PATH /opt/conda/bin:$PATH
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RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-11 60 --slave /usr/bin/g++ g++ /usr/bin/g++-11
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# Install conda
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# translating Docker's TARGETPLATFORM into mamba arches
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FROM dev-base as pytorch-build
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# Automatically set by buildx
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ARG TARGETPLATFORM
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# translating Docker's TARGETPLATFORM into miniconda arches
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RUN case ${TARGETPLATFORM} in \
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"linux/arm64") MAMBA_ARCH=aarch64 ;; \
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*) MAMBA_ARCH=x86_64 ;; \
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"linux/arm64") MINICONDA_ARCH=aarch64 ;; \
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*) MINICONDA_ARCH=x86_64 ;; \
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esac && \
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curl -fsSL -v -o ~/mambaforge.sh -O "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh"
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RUN chmod +x ~/mambaforge.sh && \
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bash ~/mambaforge.sh -b -p /opt/conda && \
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rm ~/mambaforge.sh
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curl -fsSL -v -o ~/miniconda.sh -O "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-${MINICONDA_ARCH}.sh"
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# Manually invoke bash on miniconda script per https://github.com/conda/conda/issues/10431
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RUN chmod +x ~/miniconda.sh && \
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bash ~/miniconda.sh -b -p /opt/conda && \
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rm ~/miniconda.sh
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RUN git clone --recursive https://github.com/pytorch/pytorch && \
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cd pytorch && \
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git checkout v${PYTORCH_VERSION} && \
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git submodule update --init --recursive
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git checkout v${PYTORCH_VERSION}
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WORKDIR /pytorch
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RUN git submodule update --init --recursive
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# Write the Pytorch version into the version.txt file because it isn't always the same as the tag we checked out
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RUN echo $PYTORCH_VERSION > version.txt
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RUN /opt/conda/bin/conda install -y python=${PYTHON_VERSION} cmake ninja conda-build pyyaml numpy ipython && \
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/opt/conda/bin/python -mpip install -r requirements.txt
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# Install things for building PyTorch
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RUN /opt/conda/bin/conda install -y mkl mkl-include cudnn && \
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/opt/conda/bin/conda install -c pytorch magma-cuda118
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/opt/conda/bin/conda install libgcc && \
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/opt/conda/bin/conda install -c conda-forge libstdcxx-ng=12 && \
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/opt/conda/bin/conda install -c pytorch magma-cuda118 && \
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/opt/conda/bin/conda install -c "nvidia/label/cuda-11.8.0" cuda==11.8
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# https://github.com/cresset-template/cresset/blob/37c7b5df7236d3b9d96c4908efe5af8bc90066e3/reqs/train-conda-build.requirements.txt
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# TODO: remove what we don't need
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RUN /opt/conda/bin/conda install -y \
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jemalloc \
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astunparse \
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ccache \
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cmake \
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expecttest \
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@ -124,7 +132,6 @@ RUN /opt/conda/bin/conda install -y \
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git \
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hypothesis \
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jinja2 \
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libjpeg-turbo \
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libpng \
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networkx \
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ninja \
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@ -134,7 +141,6 @@ RUN /opt/conda/bin/conda install -y \
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requests \
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setuptools \
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sympy \
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types-dataclasses \
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typing-extensions
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RUN /opt/conda/bin/conda clean -ya
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@ -151,13 +157,21 @@ ENV LD_PRELOAD=/opt/conda/lib/libiomp5.so:${LD_PRELOAD}
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ENV LD_PRELOAD=/opt/conda/lib/libjemalloc.so:${LD_PRELOAD}
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ENV MALLOC_CONF="background_thread:true,metadata_thp:auto,dirty_decay_ms:30000,muzzy_decay_ms:30000"
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RUN /opt/conda/bin/conda install -y python=${PYTHON_VERSION} cmake conda-build pyyaml numpy ipython && \
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/opt/conda/bin/python -mpip install -r requirements.txt
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RUN /opt/conda/bin/conda clean -ya
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RUN cat version.txt
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RUN make triton
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# Install PyTorch without AVX2
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# https://github.com/cresset-template/cresset/blob/37c7b5df7236d3b9d96c4908efe5af8bc90066e3/docker-compose.yaml#L124
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# print(torch.__config__.show().split("\n"), sep="\n")
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RUN --mount=type=cache,target=/opt/ccache \
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python setup.py clean && \
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BLAS_INFO=mklBUILD_TYPE=Release \
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BLAS_INFO=mkl \
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BUILD_TYPE=Release \
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CXX_FLAGS="-D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow" \
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LAPACK_INFO=mkl \
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PERF_WITH_AVX=1 \
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USE_OPENMP=ON \
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USE_ROCM=OFF \
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BUILD_TEST=0 \
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CMAKE_ARGS='-DDISABLE_AVX2:BOOL=TRUE -DCXX_AVX2_FOUND:BOOL=FALSE -DC_AVX2_FOUND:BOOL=FALSE -DDISABLE_AVX512F:BOOL=TRUE' \
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TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
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CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
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CMAKE_ARGS='-DDISABLE_AVX2:BOOL=TRUE -DCXX_AVX2_FOUND:BOOL=FALSE -DC_AVX2_FOUND:BOOL=FALSE -DDISABLE_AVX512F:BOOL=TRUE' \
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python setup.py install && \
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cd .. && \
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rm -rf pytorch
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# Make sure we built everything properly. Build will fail if CUDA isn't available.
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RUN python -c "import torch; exit(1 if not torch.version.cuda else 0)"
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# RUN python -c "import torch; exit(1 if not torch.version.cuda else 0)"
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RUN nm -D /opt/conda/lib/python3.9/site-packages/torch/lib/libtorch.so
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# ==============================================================================
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# Set up the kernel-builder
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FROM pytorch-install as kernel-builder
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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ninja-build \
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&& rm -rf /var/lib/apt/lists/*
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RUN /opt/conda/bin/conda install -c "nvidia/label/cuda-11.8.0" cuda==11.8 && \
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/opt/conda/bin/conda clean -ya
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# ==============================================================================
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# Build Flash Attention CUDA kernels
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FROM kernel-builder as flash-att-builder
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FROM pytorch-build as flash-att-builder
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WORKDIR /usr/src
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COPY server/Makefile-flash-att Makefile
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@ -215,7 +218,7 @@ RUN MAX_JOBS=5 make build-flash-attention
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# ==============================================================================
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# Build Flash Attention v2 CUDA kernels
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FROM kernel-builder as flash-att-v2-builder
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FROM pytorch-build as flash-att-v2-builder
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WORKDIR /usr/src
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COPY server/Makefile-flash-att-v2 Makefile
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@ -225,7 +228,7 @@ RUN MAX_JOBS=10 make build-flash-attention-v2
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# ==============================================================================
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# Build Transformers exllama kernels
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FROM kernel-builder as exllama-kernels-builder
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FROM pytorch-build as exllama-kernels-builder
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WORKDIR /usr/src
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COPY server/exllama_kernels/ .
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@ -235,7 +238,7 @@ RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" python setup.py build
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# ==============================================================================
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# Build Transformers CUDA kernels
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FROM kernel-builder as custom-kernels-builder
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FROM pytorch-build as custom-kernels-builder
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WORKDIR /usr/src
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COPY server/custom_kernels/ .
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# ==============================================================================
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# Build vllm CUDA kernels
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FROM kernel-builder as vllm-builder
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FROM pytorch-build as vllm-builder
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WORKDIR /usr/src
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COPY server/Makefile-vllm Makefile
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@ -256,7 +259,7 @@ RUN MAX_JOBS=5 make build-vllm
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# Text Generation Inference base image
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# nvidia/cuda:11.8.0-base-ubuntu20.04
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FROM nvidia/cuda:11.8.0-devel-ubuntu20.04 as base
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FROM nvidia/cuda:11.8.0-base-ubuntu20.04 as base
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# Conda env
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ENV PATH=/opt/conda/bin:$PATH \
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&& rm -rf /var/lib/apt/lists/*
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# Copy conda with PyTorch installed
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COPY --from=pytorch-install /opt/conda /opt/conda
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COPY --from=pytorch-build /opt/conda /opt/conda
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# Copy build artifacts from flash attention builder
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COPY --from=flash-att-builder /usr/src/flash-attention/build/lib.linux-x86_64-cpython-39 /opt/conda/lib/python3.9/site-packages
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@ -334,8 +337,8 @@ RUN python3 -c "import torch; import text_generation_server.utils.gptq.exllama"
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# Make sure our special dependencies were compiled and copied correctly
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RUN python -c "import torch; exit(1 if not torch.version.cuda else 0)"
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RUN python -c "import torch; torch.cuda.is_available()"
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# RUN python -c "import torch; exit(1 if not torch.version.cuda else 0)"
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# RUN python -c "import torch; torch.cuda.is_available()"
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RUN python -c "import torch; import flash_attn_2_cuda"
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RUN python -c "import torch; import flash_attn_cuda"
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RUN python -c "import torch; import vllm_cache_ops"
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