tf.config.experimental.set_synchronous

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Set the list of visible devices.

View aliases

Main aliases

tf.config.experimental.set_visible_devices

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.experimental.set_visible_devices, tf.compat.v1.config.set_visible_devices

tf.config.set_visible_devices(
    devices, device_type=None
)

Used in the notebooks

Used in the guide
Use a GPU

Specifies which PhysicalDevice objects are visible to the runtime. TensorFlow will only allocate memory and place operations on visible physical devices, as otherwise no LogicalDevice will be created on them. By default all discovered devices are marked as visible.

The following example demonstrates disabling the first GPU on the machine.

physical_devices = tf.config.list_physical_devices('GPU')
try:
  # Disable first GPU
  tf.config.set_visible_devices(physical_devices[1:], 'GPU')
  logical_devices = tf.config.list_logical_devices('GPU')
  # Logical device was not created for first GPU
  assert len(logical_devices) == len(physical_devices) - 1
except:
  # Invalid device or cannot modify virtual devices once initialized.
  pass

Args
`devices`	List of `PhysicalDevice`s to make visible
`device_type`	(optional) Only configure devices matching this device type. For example "CPU" or "GPU". Other devices will be left unaltered.

Raises
`ValueError`	If argument validation fails.
`RuntimeError`	Runtime is already initialized.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

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tf.estimator

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tf.graph_util

tf.image

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tf.losses

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tf.config / experimental / experimental.set_synchronous_execution

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Used in the notebooks

Args

Raises