tf.config.experimental.list_physical_devices
Return a list of physical devices visible to the runtime.
tf.config.experimental.list_physical_devices( device_type=None )
Physical devices are hardware devices locally present on the current machine. By default all discovered CPU and GPU devices are considered visible. The list_physical_devices
allows querying the hardware prior to runtime initialization.
The following example ensures the machine can see at least 1 GPU.
physical_devices = tf.config.experimental.list_physical_devices('GPU') assert len(physical_devices) > 0, "No GPUs found."
Args | |
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device_type | (optional) Device type to filter by such as "CPU" or "GPU" |
Returns | |
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List of PhysicalDevice objects |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/config/experimental/list_physical_devices