tf.config.experimental

TensorFlow 1 version

View source on GitHub

Get if memory growth is enabled for a PhysicalDevice.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.config.experimental.get_memory_growth

tf.config.experimental.get_memory_growth(
    device
)

If memory growth is enabled for a PhysicalDevice, the runtime initialization will not allocate all memory on the device.

For example:

physical_devices = tf.config.list_physical_devices('GPU')
try:
  tf.config.experimental.set_memory_growth(physical_devices[0], True)
  assert tf.config.experimental.get_memory_growth(physical_devices[0])
except:
  # Invalid device or cannot modify virtual devices once initialized.
  pass

Args
`device`	`PhysicalDevice` to query

Returns
A boolean indicating the memory growth setting for the `PhysicalDevice`.

Raises
`ValueError`	Invalid `PhysicalDevice` specified.

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.Overview

View aliases

For example:

Args

Returns

Raises