# Copyright 2015 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

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# ==============================================================================

"""Tests for losses util."""

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function

from tensorflow.python.framework import constant_op

from tensorflow.python.framework import ops

from tensorflow.python.ops.losses import util

from tensorflow.python.platform import test

class LossesUtilTest(test.TestCase):

def testGetRegularizationLoss(self):

# Empty regularization collection should evaluate to 0.0.

with self.test_session():

self.assertEqual(0.0, util.get_regularization_loss().eval())

# Loss should sum.

ops.add_to_collection(

ops.GraphKeys.REGULARIZATION_LOSSES, constant_op.constant(2.0))

ops.add_to_collection(

ops.GraphKeys.REGULARIZATION_LOSSES, constant_op.constant(3.0))

with self.test_session():

self.assertEqual(5.0, util.get_regularization_loss().eval())

# Check scope capture mechanism.

with ops.name_scope('scope1'):

ops.add_to_collection(

ops.GraphKeys.REGULARIZATION_LOSSES, constant_op.constant(-1.0))

with self.test_session():

self.assertEqual(-1.0, util.get_regularization_loss('scope1').eval())

if __name__ == '__main__':

test.main()