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
test_quadrature.py
# Copyright 2018 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.
import numpy as np
import pytest
import tensorflow as tf
from numpy.testing import assert_allclose
import gpflow
from gpflow.test_util import session_context
@pytest.fixture
def mu1(): return np.array([1.0, 1.3])
@pytest.fixture
def mu2(): return np.array([-2.0, 0.3])
@pytest.fixture
def var1(): return np.array([3.0, 3.5])
@pytest.fixture
def var2(): return np.array([4.0, 4.2])
def cast(x):
return tf.cast(np.asarray(x), dtype=gpflow.settings.float_type)
def test_diagquad_1d(mu1, var1):
with session_context() as session:
quad = gpflow.quadrature.ndiagquad(
lambda *X: tf.exp(X[0]), 25,
[cast(mu1)], [cast(var1)])
res = session.run(quad)
expected = np.exp(mu1 + var1/2)
assert_allclose(res, expected, atol=1e-10)
def test_diagquad_2d(mu1, var1, mu2, var2):
with session_context() as session:
alpha = 2.5
quad = gpflow.quadrature.ndiagquad(
lambda *X: tf.exp(X[0] + alpha * X[1]), 35,
[cast(mu1), cast(mu2)], [cast(var1), cast(var2)])
res = session.run(quad)
expected = np.exp(mu1 + var1/2 + alpha * mu2 + alpha**2 * var2/2)
assert_allclose(res, expected, atol=1e-10)
def test_diagquad_with_kwarg(mu2, var2):
with session_context() as session:
alpha = np.array([2.5, -1.3])
quad = gpflow.quadrature.ndiagquad(
lambda X, Y: tf.exp(X * Y), 25,
cast(mu2), cast(var2), Y=alpha)
res = session.run(quad)
expected = np.exp(alpha * mu2 + alpha**2 * var2/2)
assert_allclose(res, expected, atol=1e-10)
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