1# Copyright 2015 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 16"""Test for version 2 of the zero_out op.""" 17 18from __future__ import absolute_import 19from __future__ import division 20from __future__ import print_function 21 22import tensorflow as tf 23 24 25from tensorflow.examples.adding_an_op import zero_out_grad_2 # pylint: disable=unused-import 26from tensorflow.examples.adding_an_op import zero_out_op_2 27 28 29class ZeroOut2Test(tf.test.TestCase): 30 31 def test(self): 32 with self.test_session(): 33 result = zero_out_op_2.zero_out([5, 4, 3, 2, 1]) 34 self.assertAllEqual(result.eval(), [5, 0, 0, 0, 0]) 35 36 def test_2d(self): 37 with self.test_session(): 38 result = zero_out_op_2.zero_out([[6, 5, 4], [3, 2, 1]]) 39 self.assertAllEqual(result.eval(), [[6, 0, 0], [0, 0, 0]]) 40 41 def test_grad(self): 42 with self.test_session(): 43 shape = (5,) 44 x = tf.constant([5, 4, 3, 2, 1], dtype=tf.float32) 45 y = zero_out_op_2.zero_out(x) 46 err = tf.test.compute_gradient_error(x, shape, y, shape) 47 self.assertLess(err, 1e-4) 48 49 def test_grad_2d(self): 50 with self.test_session(): 51 shape = (2, 3) 52 x = tf.constant([[6, 5, 4], [3, 2, 1]], dtype=tf.float32) 53 y = zero_out_op_2.zero_out(x) 54 err = tf.test.compute_gradient_error(x, shape, y, shape) 55 self.assertLess(err, 1e-4) 56 57 58if __name__ == '__main__': 59 tf.test.main() 60