1# Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Tests for logical_expressions module.""" 16 17from __future__ import absolute_import 18from __future__ import division 19from __future__ import print_function 20 21from tensorflow.contrib.py2tf.converters import converter_test_base 22from tensorflow.contrib.py2tf.converters import logical_expressions 23from tensorflow.python.ops import math_ops 24from tensorflow.python.platform import test 25 26 27class GradientsFunctionTest(converter_test_base.TestCase): 28 29 def test_equals(self): 30 31 def test_fn(a, b): 32 return a == b 33 34 node = self.parse_and_analyze(test_fn, {}) 35 node = logical_expressions.transform(node) 36 37 with self.compiled(node, math_ops.equal) as result: 38 with self.test_session() as sess: 39 self.assertTrue(sess.run(result.test_fn(1, 1))) 40 self.assertFalse(sess.run(result.test_fn(1, 2))) 41 42 def test_bool_ops(self): 43 44 def test_fn(a, b, c): 45 return (a or b) and (a or b or c) 46 47 node = self.parse_and_analyze(test_fn, {}) 48 node = logical_expressions.transform(node) 49 50 with self.compiled(node, math_ops.logical_or, 51 math_ops.logical_and) as result: 52 with self.test_session() as sess: 53 self.assertTrue(sess.run(result.test_fn(True, False, True))) 54 55 56if __name__ == '__main__': 57 test.main() 58