tf.config.set_visible_devices
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Set the list of visible devices.
tf.config.set_visible_devices(
devices, device_type=None
)
Used in the notebooks
Specifies which 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')
try:
# Disable first GPU
tf.config.set_visible_devices(physical_devices[1:], '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
except:
# Invalid device or cannot modify virtual devices once initialized.
pass
Args |
devices
|
List of PhysicalDevice s to make visible
|
device_type
|
(optional) Only configure devices matching this device type.
For example "CPU" or "GPU". Other devices will be left unaltered.
|
Raises |
ValueError
|
If argument validation fails.
|
RuntimeError
|
Runtime is already initialized.
|
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Last updated 2024-04-26 UTC.
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