tf.config.experimental.get_virtual_device

View source on GitHub

Return a list of logical devices created by runtime.

View aliases

Main aliases

tf.config.experimental.list_logical_devices

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.experimental.list_logical_devices, tf.compat.v1.config.list_logical_devices

tf.config.list_logical_devices(
    device_type=None
)

Used in the notebooks

Used in the guide
Use a GPU NumPy API on TensorFlow Use TPUs

Logical devices may correspond to physical devices or remote devices in the cluster. Operations and tensors may be placed on these devices by using the name of the tf.config.LogicalDevice.

Calling tf.config.list_logical_devices triggers the runtime to configure any tf.config.PhysicalDevice visible to the runtime, thereby preventing further configuration. To avoid runtime initialization, call tf.config.list_physical_devices instead.

For example:

logical_devices = tf.config.list_logical_devices('GPU')
if len(logical_devices) > 0:
  # Allocate on GPU:0
  with tf.device(logical_devices[0].name):
    one = tf.constant(1)
  # Allocate on GPU:1
  with tf.device(logical_devices[1].name):
    two = tf.constant(2)

Args
`device_type`	(optional string) Only include devices matching this device type. For example "CPU" or "GPU".

Returns
List of initialized `LogicalDevice`s

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.config / experimental / experimental.get_virtual_device_configuration

View aliases

Used in the notebooks

For example:

Args

Returns