https://github.com/GPflow/GPflow
Revision 5e841b739101292f4494008c255f6f6ff63b1985 authored by Artem Artemev on 19 April 2018, 14:24:02 UTC, committed by GitHub on 19 April 2018, 14:24:02 UTC
GPflow model saver. Supports native GPflow models and provides an interface for defining custom savers for user's models. Saver stores GPflow structures and pythonic types as numpy structured arrays and serializes them using HDF5.
1 parent 2fb4b6d
Tip revision: 5e841b739101292f4494008c255f6f6ff63b1985 authored by Artem Artemev on 19 April 2018, 14:24:02 UTC
Model saver (#660)
Model saver (#660)
Tip revision: 5e841b7
run_tests.sh
#!/bin/bash
# Script for running GPflow tests in sequential and parallel modes.
# Running tensorflow based tests in distinct processes prevents
# bad memory accumulations which can lead to crashes or slow runs
# on resource limited hardware.
# Written by Artem Artemev, 06/08/2017
set -e
mode=${1:-"--sequential"}
case "$mode" in
-p|--parallel)
numproc=$([[ $(uname) == 'Darwin' ]] && sysctl -n hw.physicalcpu_max || nproc)
echo ">>> Parallel mode. Number of processes = $numproc"
echo testing/test_*.py | xargs -n 1 -P "$numproc" bash -c 'nosetests -v --nologcapture $0 || exit 255'
;;
-s|--sequential)
for test_file in testing/test_*.py; do
echo ">>> Run $test_file"
nosetests -v --nologcapture "$test_file"
rc=$?
if [ "$rc" != "0" ]; then
echo ">>> $test_file failed"
exit $rc
fi
done
;;
*)
;;
esac
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