Abstraction for a locally visible physical device.
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Compat aliases for migration
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tf.config.PhysicalDevice(
name, device_type
)
TensorFlow can utilize various devices such as the CPU or multiple GPUs for computation. Before initializing a local device for use, the user can customize certain properties of the device such as it's visibility or memory configuration.
Once a visible tf.config.PhysicalDevice
is initialized one or more
tf.config.LogicalDevice
objects are created. Use
tf.config.set_visible_devices
to configure the visibility of a physical
device and tf.config.set_logical_device_configuration
to configure multiple
tf.config.LogicalDevice
objects for a tf.config.PhysicalDevice
. This is
useful when separation between models is needed or to simulate a multi-device
environment.