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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.
# ==============================================================================
"""ConditionalBijector Tests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.distributions.python.ops.bijectors.conditional_bijector import ConditionalBijector
from tensorflow.python.framework import dtypes
from tensorflow.python.platform import test
class _TestBijector(ConditionalBijector):
def __init__(self):
super(_TestBijector, self).__init__(
event_ndims=0,
graph_parents=[],
is_constant_jacobian=True,
validate_args=False,
dtype=dtypes.float32,
name="test_bijector")
def _forward(self, _, arg1, arg2):
raise ValueError("forward", arg1, arg2)
def _inverse(self, _, arg1, arg2):
raise ValueError("inverse", arg1, arg2)
def _inverse_log_det_jacobian(self, _, arg1, arg2):
raise ValueError("inverse_log_det_jacobian", arg1, arg2)
def _forward_log_det_jacobian(self, _, arg1, arg2):
raise ValueError("forward_log_det_jacobian", arg1, arg2)
class ConditionalBijectorTest(test.TestCase):
def testConditionalBijector(self):
b = _TestBijector()
for name in ["forward", "inverse", "inverse_log_det_jacobian",
"forward_log_det_jacobian"]:
method = getattr(b, name)
with self.assertRaisesRegexp(ValueError, name + ".*b1.*b2"):
method(1.0, arg1="b1", arg2="b2")
if __name__ == "__main__":
test.main()
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