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# Copyright 2017 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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"""Tests for object_detection.utils.static_shape."""
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import tensorflow as tf
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from object_detection.utils import static_shape
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class StaticShapeTest(tf.test.TestCase):
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def test_return_correct_batchSize(self):
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tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
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self.assertEqual(32, static_shape.get_batch_size(tensor_shape))
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def test_return_correct_height(self):
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tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
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self.assertEqual(299, static_shape.get_height(tensor_shape))
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def test_return_correct_width(self):
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tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
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self.assertEqual(384, static_shape.get_width(tensor_shape))
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def test_return_correct_depth(self):
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tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3])
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self.assertEqual(3, static_shape.get_depth(tensor_shape))
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def test_die_on_tensor_shape_with_rank_three(self):
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tensor_shape = tf.TensorShape(dims=[32, 299, 384])
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with self.assertRaises(ValueError):
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static_shape.get_batch_size(tensor_shape)
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static_shape.get_height(tensor_shape)
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static_shape.get_width(tensor_shape)
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static_shape.get_depth(tensor_shape)
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if __name__ == '__main__':
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tf.test.main()
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