Revision eb6a269dfe675212ace22abe4efd81e2ac43df66 authored by Artem Artemev on 12 April 2018, 09:08:00 UTC, committed by GitHub on 12 April 2018, 09:08:00 UTC
Optimizers incompatibility with TensorFlow >= 1.6
Dockerfile
# Copyright 2016 The GPflow authors
#
# Licensed 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.
#USAGE:
#To run from prebuilt version use:
#docker run -it -p 8888:8888 gpflow/gpflow
#To replicate build use:
#docker build -t gpflow/gpflow .
#Assumes you are running from within cloned repo.
#Uses official Tensorflow docker for cpu only.
FROM tensorflow/tensorflow:1.0.0
COPY ./ /usr/local/GPflow/
RUN cd /usr/local/GPflow && \
python setup.py develop && \
rm /notebooks/* && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
COPY doc/source/notebooks/ LICENSE README.md /notebooks/
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