# Minimum docker image for demo purposes # prebuilt-image: tvmai/demo-cpu FROM ubuntu:16.04 RUN apt-get update --fix-missing COPY install/ubuntu_install_core.sh /install/ubuntu_install_core.sh RUN bash /install/ubuntu_install_core.sh # Python: basic dependencies RUN apt-get update && apt-get install -y python3-dev python3-pip RUN pip3 install numpy nose-timer cython decorator scipy # LLVM RUN echo deb http://apt.llvm.org/xenial/ llvm-toolchain-xenial-6.0 main \ >> /etc/apt/sources.list.d/llvm.list && \ wget -O - http://apt.llvm.org/llvm-snapshot.gpg.key|sudo apt-key add - && \ apt-get update && apt-get install -y --force-yes llvm-6.0 # Jupyter notebook. RUN pip3 install matplotlib Image Pillow jupyter[notebook] # Deep learning frameworks RUN pip3 install mxnet tensorflow keras # Build TVM COPY install/install_tvm_cpu.sh /install/install_tvm_cpu.sh RUN bash /install/install_tvm_cpu.sh # Environment variables ENV PYTHONPATH=/usr/tvm/python:/usr/tvm/topi/python:/usr/tvm/nnvm/python/:/usr/tvm/vta/python:${PYTHONPATH}