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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Tests for Bijector."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import six
from tensorflow.contrib.distributions.python.ops.bijectors.bijector import Bijector
from tensorflow.python.framework import constant_op
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class BaseBijectorTest(test.TestCase):
"""Tests properties of the Bijector base-class."""
def testIsAbstract(self):
with self.test_session():
with self.assertRaisesRegexp(TypeError,
("Can't instantiate abstract class Bijector "
"with abstract methods __init__")):
Bijector()
def testDefaults(self):
class _BareBonesBijector(Bijector):
"""Minimal specification of a `Bijector`."""
def __init__(self):
super(_BareBonesBijector, self).__init__()
with self.test_session() as sess:
bij = _BareBonesBijector()
self.assertEqual(None, bij.event_ndims)
self.assertEqual([], bij.graph_parents)
self.assertEqual(False, bij.is_constant_jacobian)
self.assertEqual(False, bij.validate_args)
self.assertEqual(None, bij.dtype)
self.assertEqual("bare_bones_bijector", bij.name)
for shape in [[], [1, 2], [1, 2, 3]]:
[
forward_event_shape_,
inverse_event_shape_,
] = sess.run([
bij.inverse_event_shape_tensor(shape),
bij.forward_event_shape_tensor(shape),
])
self.assertAllEqual(shape, forward_event_shape_)
self.assertAllEqual(shape, bij.forward_event_shape(shape))
self.assertAllEqual(shape, inverse_event_shape_)
self.assertAllEqual(shape, bij.inverse_event_shape(shape))
for fn in ["forward",
"inverse",
"inverse_log_det_jacobian",
"forward_log_det_jacobian"]:
with self.assertRaisesRegexp(
NotImplementedError, fn + " not implemented"):
getattr(bij, fn)(0)
class IntentionallyMissingError(Exception):
pass
class BrokenBijector(Bijector):
"""Forward and inverse are not inverses of each other."""
def __init__(self, forward_missing=False, inverse_missing=False):
super(BrokenBijector, self).__init__(
event_ndims=0, validate_args=False, name="broken")
self._forward_missing = forward_missing
self._inverse_missing = inverse_missing
def _forward(self, x):
if self._forward_missing:
raise IntentionallyMissingError
return 2 * x
def _inverse(self, y):
if self._inverse_missing:
raise IntentionallyMissingError
return y / 2.
def _inverse_log_det_jacobian(self, y): # pylint:disable=unused-argument
if self._inverse_missing:
raise IntentionallyMissingError
return -math_ops.log(2.)
def _forward_log_det_jacobian(self, x): # pylint:disable=unused-argument
if self._forward_missing:
raise IntentionallyMissingError
return math_ops.log(2.)
@six.add_metaclass(abc.ABCMeta)
class BijectorCachingTestBase(object):
@abc.abstractproperty
def broken_bijector_cls(self):
# return a BrokenBijector type Bijector, since this will test the caching.
raise IntentionallyMissingError("Not implemented")
def testCachingOfForwardResults(self):
broken_bijector = self.broken_bijector_cls(inverse_missing=True)
with self.test_session():
x = constant_op.constant(1.1)
# Call forward and forward_log_det_jacobian one-by-one (not together).
y = broken_bijector.forward(x)
_ = broken_bijector.forward_log_det_jacobian(x)
# Now, everything should be cached if the argument is y.
try:
broken_bijector.inverse(y)
broken_bijector.inverse_log_det_jacobian(y)
except IntentionallyMissingError:
raise AssertionError("Tests failed! Cached values not used.")
def testCachingOfInverseResults(self):
broken_bijector = self.broken_bijector_cls(forward_missing=True)
with self.test_session():
y = constant_op.constant(1.1)
# Call inverse and inverse_log_det_jacobian one-by-one (not together).
x = broken_bijector.inverse(y)
_ = broken_bijector.inverse_log_det_jacobian(y)
# Now, everything should be cached if the argument is x.
try:
broken_bijector.forward(x)
broken_bijector.forward_log_det_jacobian(x)
except IntentionallyMissingError:
raise AssertionError("Tests failed! Cached values not used.")
class BijectorCachingTest(BijectorCachingTestBase, test.TestCase):
"""Test caching with BrokenBijector."""
@property
def broken_bijector_cls(self):
return BrokenBijector
if __name__ == "__main__":
test.main()
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