# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Test for version 2 of the zero_out op."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import tensorflow as tf
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from tensorflow.examples.adding_an_op import zero_out_grad_2 # pylint: disable=unused-import
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from tensorflow.examples.adding_an_op import zero_out_op_2
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from tensorflow.python.framework import test_util
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class ZeroOut2Test(tf.test.TestCase):
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@test_util.run_deprecated_v1
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def test(self):
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with self.cached_session():
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result = zero_out_op_2.zero_out([5, 4, 3, 2, 1])
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self.assertAllEqual(result.eval(), [5, 0, 0, 0, 0])
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@test_util.run_deprecated_v1
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def test_2d(self):
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with self.cached_session():
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result = zero_out_op_2.zero_out([[6, 5, 4], [3, 2, 1]])
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self.assertAllEqual(result.eval(), [[6, 0, 0], [0, 0, 0]])
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@test_util.run_deprecated_v1
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def test_grad(self):
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with self.cached_session():
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shape = (5,)
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x = tf.constant([5, 4, 3, 2, 1], dtype=tf.float32)
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y = zero_out_op_2.zero_out(x)
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err = tf.test.compute_gradient_error(x, shape, y, shape)
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self.assertLess(err, 1e-4)
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@test_util.run_deprecated_v1
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def test_grad_2d(self):
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with self.cached_session():
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shape = (2, 3)
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x = tf.constant([[6, 5, 4], [3, 2, 1]], dtype=tf.float32)
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y = zero_out_op_2.zero_out(x)
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err = tf.test.compute_gradient_error(x, shape, y, shape)
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self.assertLess(err, 1e-4)
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if __name__ == '__main__':
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tf.test.main()
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