onnxruntime-tvm/docker/Dockerfile.demo_cpu

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1.8 KiB
Docker

# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
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# http://www.apache.org/licenses/LICENSE-2.0
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# 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 gluoncv
# 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}