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# Copyright 2017 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 Clip Operations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import constant_op
from tensorflow.python.ops import clip_ops
from tensorflow.python.ops import numerics
from tensorflow.python.platform import test
class ClipOpsTest(test.TestCase):
def __init__(self, method_name="runTest"):
super(ClipOpsTest, self).__init__(method_name)
def _testClipByNorm(self, inputs, max_norm, expected):
with self.cached_session() as sess:
input_op = constant_op.constant(inputs)
clipped = clip_ops.clip_by_norm(input_op, max_norm)
check_op = numerics.add_check_numerics_ops()
result, _ = sess.run([clipped, check_op])
self.assertAllClose(result, expected)
def testClipByNorm(self):
# Simple example
self._testClipByNorm([[-3.0, 0.0, 0.0], [4.0, 0.0, 0.0]], 4.0,
[[-2.4, 0.0, 0.0], [3.2, 0.0, 0.0]])
# Zero norm
self._testClipByNorm([[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]], 4.0,
[[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]])
if __name__ == "__main__":
test.main()
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