tf.distribute.cluster_resolver.TPUClusterResolver

TensorFlow 1 version

Public API for tf.distribute.experimental namespace.

Modules

coordinator module: Public API for tf.distribute.experimental.coordinator namespace.

partitioners module: Public API for tf.distribute.experimental.partitioners namespace.

Classes

class CentralStorageStrategy: A one-machine strategy that puts all variables on a single device.

class CollectiveCommunication: Cross device communication implementation.

class CollectiveHints: Hints for collective operations like AllReduce.

class CommunicationImplementation: Cross device communication implementation.

class CommunicationOptions: Options for cross device communications like All-reduce.

class MultiWorkerMirroredStrategy: A distribution strategy for synchronous training on multiple workers.

class ParameterServerStrategy: An multi-worker tf.distribute strategy with parameter servers.

class TPUStrategy: Synchronous training on TPUs and TPU Pods.

class ValueContext: A class wrapping information needed by a distribute function.

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.distribute / cluster_resolver / cluster_resolver.TPUClusterResolver

Modules

Classes