tf.config.LogicalDeviceConfiguration

Configuration class for a logical devices.

View aliases

Main aliases

tf.config.experimental.VirtualDeviceConfiguration

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.LogicalDeviceConfiguration, tf.compat.v1.config.experimental.VirtualDeviceConfiguration

tf.config.LogicalDeviceConfiguration(
    memory_limit=None, experimental_priority=None
)

The class specifies the parameters to configure a tf.config.PhysicalDevice as it is initialized to a tf.config.LogicalDevice during runtime initialization. Not all fields are valid for all device types.

See tf.config.get_logical_device_configuration and tf.config.set_logical_device_configuration for usage examples.

Fields:

• memory_limit: (optional) Maximum memory (in MB) to allocate on the virtual device. Currently only supported for GPUs.
• experimental_priority: (optional) Priority to assign to a virtual device. Lower values have higher priorities and 0 is the default. Within a physical GPU, the GPU scheduler will prioritize ops on virtual devices with higher priority. Currently only supported for Nvidia GPUs.

Attributes
memory_limit
experimental_priority