tf.test.is_cpu_target_available
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Indicates whether TensorFlow was built with support for a given CPU target.
tf.test.is_cpu_target_available(
target
)
Args |
|---|
target
|
The name of the CPU target whose support to check for.
|
Returns |
|---|
|
A boolean indicating whether TensorFlow was built with support for the
given CPU target.
|
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 a given target.
class MyTest(tf.test.TestCase):
def test_add_on_aarch64(self):
if not tf.test.is_cpu_target_available('aarch64'):
self.skipTest("test is only applicable on AArch64")
... @tf.function(jit_compile=True)
... def add(x, y):
... return tf.math.add(x, y)
...
... self.assertEqual(add(tf.ones(()), tf.ones(())), 2.0)
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Last updated 2026-10-31 UTC.
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