Dockerfile.demo_gpu

# 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
# CI docker GPU env
# tag: v0.54
FROM tlcpack/ci-gpu:v0.55

# Jupyter notebook.
RUN pip3 install matplotlib Image "Pillow<7" jupyter[notebook]

# Build TVM
COPY install/install_tvm_gpu.sh /install/install_tvm_gpu.sh
RUN bash /install/install_tvm_gpu.sh

# Environment variables
ENV PYTHONPATH=/usr/tvm/python:/usr/tvm/vta/python:${PYTHONPATH}
ENV PATH=/usr/local/nvidia/bin:${PATH}
ENV PATH=/usr/local/cuda/bin:${PATH}
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib64:${LD_LIBRARY_PATH}