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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): |
| tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3]) |
| self.assertEqual(32, static_shape.get_batch_size(tensor_shape)) |
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| def test_return_correct_height(self): |
| tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3]) |
| self.assertEqual(299, static_shape.get_height(tensor_shape)) |
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| def test_return_correct_width(self): |
| tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3]) |
| self.assertEqual(384, static_shape.get_width(tensor_shape)) |
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| def test_return_correct_depth(self): |
| tensor_shape = tf.TensorShape(dims=[32, 299, 384, 3]) |
| self.assertEqual(3, static_shape.get_depth(tensor_shape)) |
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| def test_die_on_tensor_shape_with_rank_three(self): |
| tensor_shape = tf.TensorShape(dims=[32, 299, 384]) |
| with self.assertRaises(ValueError): |
| static_shape.get_batch_size(tensor_shape) |
| static_shape.get_height(tensor_shape) |
| static_shape.get_width(tensor_shape) |
| static_shape.get_depth(tensor_shape) |
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| if __name__ == '__main__': |
| tf.test.main() |
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|