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 17 from __future__ import absolute_import 18 from __future__ import division 19 from __future__ import print_function 20 21 from tensorflow.contrib.py2tf.converters import converter_test_base 22 from tensorflow.contrib.py2tf.converters import logical_expressions 23 from tensorflow.python.ops import math_ops 24 from tensorflow.python.platform import test 25 26 27 class 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 56 if __name__ == '__main__': 57 test.main() 58
