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Update GPU Dockerimage (Cuda 11, Fix faiss)(#836)
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@ -1,8 +1,9 @@
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FROM nvidia/cuda:10.1-runtime
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FROM nvidia/cuda:11.0-runtime-ubuntu20.04
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WORKDIR /home/user
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RUN apt-get update && apt-get install -y python3.7 python3.7-dev python3.7-distutils python3-pip curl git pkg-config cmake
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RUN apt-get update && apt-get install -y software-properties-common && add-apt-repository ppa:deadsnakes/ppa
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RUN apt-get update && apt-get install -y python3.7 python3.7-dev python3.7-distutils python3-pip curl git pkg-config cmake swig
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ENV LC_ALL=C.UTF-8
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ENV LANG=C.UTF-8
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@ -18,6 +19,11 @@ COPY haystack /home/user/haystack
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COPY setup.py requirements.txt README.md /home/user/
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RUN pip3 install numpy scipy Cython
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# Install PyTorch for CUDA 11
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RUN pip3 install torch==1.7.1+cu110 -f https://download.pytorch.org/whl/torch_stable.html
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# Install faiss separately as building latest versions can cause trouble with swig
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RUN pip3 install faiss-cpu==1.6.3
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RUN pip3 install -r requirements.txt
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RUN pip3 install -e .
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@ -36,4 +42,4 @@ COPY rest_api /home/user/rest_api
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EXPOSE 8000
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# cmd for running the API (note: "--preload" is not working with cuda)
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CMD ["gunicorn", "rest_api.application:app", "-b", "0.0.0.0", "-k", "uvicorn.workers.UvicornWorker", "--workers", "1", "--timeout", "180"]
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CMD ["gunicorn", "rest_api.application:app", "-b", "0.0.0.0", "-k", "uvicorn.workers.UvicornWorker", "--workers", "1", "--timeout", "180"]
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