|View source on GitHub|
Set the list of visible devices.
See Migration guide for more details.
tf.config.set_visible_devices( devices, device_type=None )
Used in the notebooks
|Used in the guide|
PhysicalDevice objects are visible to the runtime.
TensorFlow will only allocate memory and place operations on visible
physical devices, as otherwise no
LogicalDevice will be created on them.
By default all discovered devices are marked as visible.
The following example demonstrates disabling the first GPU on the machine.
physical_devices = tf.config.list_physical_devices('GPU')
# Disable first GPU
logical_devices = tf.config.list_logical_devices('GPU')
# Logical device was not created for first GPU
assert len(logical_devices) == len(physical_devices) - 1
# Invalid device or cannot modify virtual devices once initialized.
devices: List of
PhysicalDevices to make visible
device_type: (optional) Only configure devices matching this device type. For example "CPU" or "GPU". Other devices will be left unaltered.
ValueError: If argument validation fails.
RuntimeError: Runtime is already initialized.