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
Raw File
Tip revision: 17781c21be71eacad81d2c0de32c319ec985c14b authored by Mark van der Wilk on 09 May 2018, 18:21:58 UTC
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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