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22ef8e5654
This is the first of three PRs that #5537 will be split into. This PR adds mkl headers to included files, and provides helper functions for MKL fft and cuFFT. In particular, on POSIX, headers are using mkl-include from conda, and on Windows, it is from a new file @yf225 and I made and uploaded to s3. * add mkl-include to required packages * include MKL headers; add AT_MKL_ENABLED flag; add a method to query MKL availability * Add MKL and CUFFT helpers
36 lines
1.1 KiB
Docker
36 lines
1.1 KiB
Docker
FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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cmake \
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git \
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curl \
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vim \
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ca-certificates \
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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 curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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chmod +x ~/miniconda.sh && \
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~/miniconda.sh -b -p /opt/conda && \
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rm ~/miniconda.sh && \
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/opt/conda/bin/conda install numpy pyyaml scipy ipython mkl mkl-include && \
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/opt/conda/bin/conda install -c soumith magma-cuda90 && \
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/opt/conda/bin/conda clean -ya
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ENV PATH /opt/conda/bin:$PATH
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# This must be done before pip so that requirements.txt is available
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WORKDIR /opt/pytorch
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COPY . .
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RUN git submodule update --init
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RUN TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1 7.0+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
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CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
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pip install -v .
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RUN git clone https://github.com/pytorch/vision.git && cd vision && pip install -v .
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WORKDIR /workspace
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RUN chmod -R a+w /workspace
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