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| """Tests for object_detection.utils.static_shape."""
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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.compat.v1 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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