tf.config.experimental.list_physical

TensorFlow 1 version

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Set if memory growth should be enabled for a PhysicalDevice.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.experimental.set_memory_growth

tf.config.experimental.set_memory_growth(
    device, enable
)

Used in the notebooks

Used in the guide	Used in the tutorials
Use a GPU Using the SavedModel format	Bayesian Gaussian Mixture Model and Hamiltonian MCMC Modeling COVID-19 spread in Europe and the effect of interventions

If memory growth is enabled for a PhysicalDevice, the runtime initialization will not allocate all memory on the device. Memory growth cannot be configured on a PhysicalDevice with virtual devices configured.

For example:

physical_devices = tf.config.list_physical_devices('GPU')
try:
  tf.config.experimental.set_memory_growth(physical_devices[0], True)
except:
  # Invalid device or cannot modify virtual devices once initialized.
  pass

Args
`device`	`PhysicalDevice` to configure
`enable`	(Boolean) Whether to enable or disable memory growth

Raises
`ValueError`	Invalid `PhysicalDevice` specified.
`RuntimeError`	Runtime is already initialized.

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tf.config / experimental / experimental.list_physical_devices

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Used in the notebooks

For example:

Args

Raises