tf.config.set_soft_device

TensorFlow 1 version

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Gets the current device policy.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.experimental.get_device_policy

tf.config.experimental.get_device_policy()

The device policy controls how operations requiring inputs on a specific device (e.g., on GPU:0) handle inputs on a different device (e.g. GPU:1).

This function only gets the device policy for the current thread. Any subsequently started thread will again use the default policy.

Returns
Current thread device policy

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 / set_soft_device_placement

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Returns