tf.test.is_built_with_xla
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Returns whether TensorFlow was built with XLA support.
tf.test.is_built_with_xla()
This method should only be used in tests written with 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.
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.test.is_built_with_xla\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/platform/test.py#L173-L194) |\n\nReturns whether TensorFlow was built with XLA support.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.test.is_built_with_xla`](https://www.tensorflow.org/api_docs/python/tf/test/is_built_with_xla)\n\n\u003cbr /\u003e\n\n tf.test.is_built_with_xla()\n\nThis method should only be used in tests written with [`tf.test.TestCase`](../../tf/test/TestCase). A\ntypical usage is to skip tests that should only run with XLA. \n\n class MyTest(tf.test.TestCase):\n\n def test_add_on_xla(self):\n if not tf.test.is_built_with_xla():\n self.skipTest(\"test is only applicable on XLA\")\n\n... @tf.function(jit_compile=True)\n... def add(x, y):\n... return tf.math.add(x, y)\n...\n... self.assertEqual(add(tf.ones(()), tf.ones(())), 2.0)\n\nTensorFlow official binary is built with XLA."]]