|View source on GitHub|
Returns details about a physical devices.
Compat aliases for migration
See Migration guide for more details.
tf.config.experimental.get_device_details( device )
This API takes in a
tf.config.PhysicalDevice returned by
tf.config.list_physical_devices. It returns a dict with string keys
containing various details about the device. Each key is only supported by a
subset of devices, so you should not assume the returned dict will have any
gpu_devices = tf.config.list_physical_devices('GPU')
details = tf.config.experimental.get_device_details(gpu_devices)
details.get('device_name', 'Unknown GPU')
Currently, details are only returned for GPUs. This function returns an empty dict if passed a non-GPU device.
The returned dict may have the following keys:
'device_name': A human-readable name of the device as a string, e.g. "Titan V". Unlike
tf.config.PhysicalDevice.name, this will be the same for multiple devices if each device is the same model. Currently only available for GPUs.
'compute_capability': The compute capability of the device as a tuple of two ints, in the form
(major_version, minor_version). Only available for NVIDIA GPUs
|A dict with string keys.|