https://github.com/GPflow/GPflow
Revision 17781c21be71eacad81d2c0de32c319ec985c14b authored by Mark van der Wilk on 09 May 2018, 18:21:58 UTC, committed by GitHub on 09 May 2018, 18:21:58 UTC
* Start integrating gpflow-monitor in actions framework. * Initial commit for GPfow monitor integration with actions framework. * Quick fix to TriggeredAction. * Saver works. * PrintTimings added to actions. * simple callback action added. Needs to handle session correctly * ModelTensorBoard action seems to be working. More testing needed * Exclude monitor from testing. * Check if notebook coverage is included. * Moving back to removing coverage of monitor. * changed callback action to have access to the model * yet another edit to callback action in order to get access to the context * adding type annotations and cleanning up code * changed condition in the triggered action * Notebook, small bugfixes & LmlTensorBoard. * Add very simple test for monitor. * import of tqdm if not installed is now gracefully handled. * Added seq_exp_lin. * `force_run` now first test. * Fix `force_run` bug. * Updated test. * Actions test now also tests `CallbackAction`.
1 parent f867d66
Tip revision: 17781c21be71eacad81d2c0de32c319ec985c14b authored by Mark van der Wilk on 09 May 2018, 18:21:58 UTC
Inclusion of `gpflow-monitor` (#705)
Inclusion of `gpflow-monitor` (#705)
Tip revision: 17781c2
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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