tf.test.is_built_with_gpu_support  |  TensorFlow v2.16.1 (original) (raw)

tf.test.is_built_with_gpu_support

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Returns whether TensorFlow was built with GPU (CUDA or ROCm) support.

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Compat aliases for migration

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tf.compat.v1.test.is_built_with_gpu_support

tf.test.is_built_with_gpu_support()

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 GPU.

class MyTest(tf.test.TestCase): ` def test_add_on_gpu(self):` ` if not tf.test.is_built_with_gpu_support():` ` 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 GPU support.

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Last updated 2024-04-26 UTC.