tf.test.gpu_device_name
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Returns the name of a GPU device if available or a empty string.
tf.test.gpu_device_name() -> str
Used in the notebooks
This method should only be used in tests written with tf.test.TestCase.
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(tf.test.gpu_device_name()):
self.assertEqual(tf.math.add(1.0, 2.0), 3.0)
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.test.gpu_device_name\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/framework/test_util.py#L170-L189) |\n\nReturns the name of a GPU device if available or a empty string.\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.gpu_device_name`](https://www.tensorflow.org/api_docs/python/tf/test/gpu_device_name)\n\n\u003cbr /\u003e\n\n tf.test.gpu_device_name() -\u003e str\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [Fitting Generalized Linear Mixed-effects Models Using Variational Inference](https://www.tensorflow.org/probability/examples/Linear_Mixed_Effects_Model_Variational_Inference) - [Linear Mixed Effects Models](https://www.tensorflow.org/probability/examples/Linear_Mixed_Effects_Models) - [Bayesian Modeling with Joint Distribution](https://www.tensorflow.org/probability/examples/Modeling_with_JointDistribution) - [TFP Probabilistic Layers: Regression](https://www.tensorflow.org/probability/examples/Probabilistic_Layers_Regression) - [TFP Probabilistic Layers: Variational Auto Encoder](https://www.tensorflow.org/probability/examples/Probabilistic_Layers_VAE) |\n\nThis method should only be used in tests written with [`tf.test.TestCase`](../../tf/test/TestCase). \n\n class MyTest(tf.test.TestCase):\n\n def test_add_on_gpu(self):\n if not tf.test.is_built_with_gpu_support():\n self.skipTest(\"test is only applicable on GPU\")\n\n with tf.device(tf.test.gpu_device_name()):\n self.assertEqual(tf.math.add(1.0, 2.0), 3.0)"]]
View source on GitHub