Revision e79762921b852a16618258b8a39fe26ecbfc8859 authored by Sergio Diaz on 16 September 2019, 10:06:39 UTC, committed by Sergio Diaz on 16 September 2019, 10:06:39 UTC
# Conflicts: # .circleci/config.yml # .circleci/images/Dockerfile # .travis.yml # Dockerfile # MANIFEST.in # Makefile # README.md # VERSION # doc/docs_require.txt # doc/source/notebooks/advanced/gps_for_big_data.ipynb # doc/source/notebooks/advanced/kernels.ipynb # doc/source/notebooks/advanced/mcmc.ipynb # doc/source/notebooks/advanced/monitoring.ipynb # doc/source/notebooks/advanced/multioutput.ipynb # doc/source/notebooks/advanced/natural_gradients.ipynb # doc/source/notebooks/advanced/new_multioutput_gp_features.png # doc/source/notebooks/advanced/new_multioutput_gp_kernels.png # doc/source/notebooks/advanced/optimisation.ipynb # doc/source/notebooks/advanced/settings.ipynb # doc/source/notebooks/basics/GPLVM.ipynb # doc/source/notebooks/basics/classification.ipynb # doc/source/notebooks/basics/regression.ipynb # doc/source/notebooks/intro.ipynb # doc/source/notebooks/tailor/kernel_design.ipynb # doc/source/notebooks/theory/FITCvsVFE.py # doc/source/notebooks/theory/SGPR_notes.ipynb # doc/source/notebooks/theory/data/snelson_test_inputs.dat # doc/source/notebooks/theory/data/snelson_train_inputs.dat # doc/source/notebooks/theory/data/snelson_train_outputs.dat # doc/source/notebooks/theory/upper_bound.ipynb # doc/source/notebooks/theory/vgp_notes.ipynb # doc/source/notebooks/tips_and_tricks.ipynb # doc/source/notebooks/understanding/models.ipynb # doc/source/notebooks/understanding/tf_graphs_and_sessions.ipynb # gpflow/_settings.py # gpflow/_version.py # gpflow/conditionals.py # gpflow/core/compilable.py # gpflow/core/parentable.py # gpflow/expectations.py # gpflow/features.py # gpflow/gpflowrc # gpflow/kernels.py # gpflow/kullback_leiblers.py # gpflow/likelihoods/likelihoods.py # gpflow/logdensities.py # gpflow/mean_functions.py # gpflow/misc.py # gpflow/models/gplvm.py # gpflow/models/gpmc.py # gpflow/models/gpr.py # gpflow/models/model.py # gpflow/models/sgpr.py # gpflow/models/svgp.py # gpflow/models/vgp.py # gpflow/multioutput/conditionals.py # gpflow/multioutput/features.py # gpflow/params/parameter.py # gpflow/params/parameterized.py # gpflow/params/paramlist.py # gpflow/priors.py # gpflow/saver/saver.py # gpflow/saver/serializers.py # gpflow/test_util.py # gpflow/training/external_optimizer.py # gpflow/training/monitor.py # gpflow/training/scipy_optimizer.py # gpflow/training/tensorflow_optimizer.py # gpflow/transforms.py # setup.py # tests/__init__.py # tests/test_conditionals.py # tests/test_config.py # tests/test_expectations.py # tests/test_features.py # tests/test_kerns.py # tests/test_kldiv.py # tests/test_likelihoods.py # tests/test_logdensities.py # tests/test_methods.py # tests/test_misc.py # tests/test_monitor.py # tests/test_multioutput.py # tests/test_optimizers.py # tests/test_param.py # tests/test_saver.py # tests/test_transforms.py
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:1.14.0
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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