tf.config.experimental.get_synchronous

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Get the list of visible physical devices.

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Main aliases

tf.config.experimental.get_visible_devices

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.experimental.get_visible_devices, tf.compat.v1.config.get_visible_devices

tf.config.get_visible_devices(
    device_type=None
)

Returns the list of PhysicalDevices currently marked as visible to the runtime. A visible device will have at least one LogicalDevice associated with it once the runtime is initialized.

The following example verifies all visible GPUs have been disabled:

physical_devices = tf.config.list_physical_devices('GPU')
try:
  # Disable all GPUS
  tf.config.set_visible_devices([], 'GPU')
  visible_devices = tf.config.get_visible_devices()
  for device in visible_devices:
    assert device.device_type != 'GPU'
except:
  # Invalid device or cannot modify virtual devices once initialized.
  pass

Args
`device_type`	(optional string) Only include devices matching this device type. For example "CPU" or "GPU".

Returns
List of visible `PhysicalDevice`s

TensorFlow

tf.config / experimental / experimental.get_synchronous_execution

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TensorFlow

tf

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tf.config / experimental / experimental.get_synchronous_execution

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Returns