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27 April 2022, 07:49:56 UTC
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 
Inclusion of `gpflow-monitor` (#705)
 
* 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`.
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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
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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