| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| # Minimum docker image for demo purposes |
| # prebuilt-image: tvmai/demo-cpu |
| FROM tlcpack/ci-cpu:v0.55 |
| |
| COPY utils/apt-install-and-clear.sh /usr/local/bin/apt-install-and-clear |
| |
| # Jupyter notebook. |
| RUN pip3 install matplotlib Image Pillow jupyter[notebook] |
| |
| # Deep learning frameworks |
| RUN pip3 install mxnet tensorflow keras gluoncv dgl |
| |
| # 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/vta/python:${PYTHONPATH} |
