# tf.test.is_built_with_xla

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/platform/test.py#L173-L194) |

Returns whether TensorFlow was built with XLA support.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.test.is_built_with_xla`](https://www.tensorflow.org/api_docs/python/tf/test/is_built_with_xla)

<br />

    tf.test.is_built_with_xla()

This method should only be used in tests written with [`tf.test.TestCase`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/test/TestCase). A
typical usage is to skip tests that should only run with XLA.

    class MyTest(tf.test.TestCase):

      def test_add_on_xla(self):
        if not tf.test.is_built_with_xla():
          self.skipTest("test is only applicable on XLA")

... @tf.function(jit_compile=True)
... def add(x, y):
... return tf.math.add(x, y)
...
... self.assertEqual(add(tf.ones(()), tf.ones(())), 2.0)

TensorFlow official binary is built with XLA.