tf.config.experimental.set_memory_growth  |  TensorFlow v2.16.1 (original) (raw)

tf.config.experimental.set_memory_growth

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Set if memory growth should be enabled for a PhysicalDevice.

View aliases

Compat aliases for migration

SeeMigration 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 Import a JAX model using JAX2TF Using the SavedModel format Universal Sentence Encoder SentEval demo 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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Last updated 2024-04-26 UTC.