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Abstraction for a locally visible physical device.

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.


  • name: Unique identifier for device.
  • device_type: String declaring the type of device such as "CPU" or "GPU".