faiss/.circleci/Dockerfile.faiss_gpu

29 lines
931 B
Docker

FROM nvidia/cuda:10.2-devel-ubuntu18.04
# Install python3, wget, and openblas.
RUN apt-get update && \
apt-get install -y python3-dev python3-pip libopenblas-dev wget libpcre3-dev
# Install swig 4.0.2.
RUN wget -nv -O - https://sourceforge.net/projects/swig/files/swig/swig-4.0.2/swig-4.0.2.tar.gz/download | tar zxf - && cd swig-4.0.2 && ./configure && make -j && make install
# Install recent CMake.
RUN wget -nv -O - https://github.com/Kitware/CMake/releases/download/v3.17.1/cmake-3.17.1-Linux-x86_64.tar.gz | tar xzf - --strip-components=1 -C /usr
# Install numpy/scipy/pytorch for python tests.
RUN pip3 install numpy scipy torch
COPY . /faiss
WORKDIR /faiss
RUN cmake -B build \
-DFAISS_ENABLE_GPU=ON \
-DFAISS_ENABLE_C_API=ON \
-DFAISS_ENABLE_PYTHON=ON \
-DBUILD_TESTING=ON \
-DCMAKE_CUDA_FLAGS="-gencode arch=compute_75,code=sm_75" \
.
RUN make -C build -j8