tf.config.PhysicalDevice
Abstraction for a locally visible physical device.
tf.config.PhysicalDevice(
name, device_type
)
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.
Fields:
-
name: Unique identifier for device. -
device_type: String declaring the type of device such as "CPU" or "GPU".
| Attributes | |
|---|---|
name |
A namedtuple alias for field number 0 |
device_type |
A namedtuple alias for field number 1 |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/config/PhysicalDevice
