# tf.test.is_built_with_cuda

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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#L92-L110) |

Returns whether TensorFlow was built with CUDA (GPU) 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_cuda`](https://www.tensorflow.org/api_docs/python/tf/test/is_built_with_cuda)

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    tf.test.is_built_with_cuda()

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 CUDA (GPU).

    class MyTest(tf.test.TestCase):

      def test_add_on_gpu(self):
        if not tf.test.is_built_with_cuda():
          self.skipTest("test is only applicable on GPU")

        with tf.device("GPU:0"):
          self.assertEqual(tf.math.add(1.0, 2.0), 3.0)

TensorFlow official binary is built with CUDA.