Module: tf.distribute.experimental
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Public API for tf._api.v2.distribute.experimental namespace
Modules
coordinator module: Public API for tf._api.v2.distribute.experimental.coordinator namespace
partitioners module: Public API for tf._api.v2.distribute.experimental.partitioners namespace
rpc module: Public API for tf._api.v2.distribute.experimental.rpc 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 PreemptionCheckpointHandler: Preemption and error handler for synchronous training.
class PreemptionWatcher: Watch preemption signal and store it.
class TPUStrategy: Synchronous training on TPUs and TPU Pods.
class TerminationConfig: Customization of PreemptionCheckpointHandler for various platforms.
class ValueContext: A class wrapping information needed by a distribute function.
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# Module: tf.distribute.experimental\n\n\u003cbr /\u003e\n\nPublic API for tf._api.v2.distribute.experimental namespace\n\nModules\n-------\n\n[`coordinator`](../../tf/distribute/experimental/coordinator) module: Public API for tf._api.v2.distribute.experimental.coordinator namespace\n\n[`partitioners`](../../tf/distribute/experimental/partitioners) module: Public API for tf._api.v2.distribute.experimental.partitioners namespace\n\n[`rpc`](../../tf/distribute/experimental/rpc) module: Public API for tf._api.v2.distribute.experimental.rpc namespace\n\nClasses\n-------\n\n[`class CentralStorageStrategy`](../../tf/distribute/experimental/CentralStorageStrategy): A one-machine strategy that puts all variables on a single device.\n\n[`class CollectiveCommunication`](../../tf/distribute/experimental/CommunicationImplementation): Cross device communication implementation.\n\n[`class CollectiveHints`](../../tf/distribute/experimental/CollectiveHints): Hints for collective operations like AllReduce.\n\n[`class CommunicationImplementation`](../../tf/distribute/experimental/CommunicationImplementation): Cross device communication implementation.\n\n[`class CommunicationOptions`](../../tf/distribute/experimental/CommunicationOptions): Options for cross device communications like All-reduce.\n\n[`class MultiWorkerMirroredStrategy`](../../tf/distribute/experimental/MultiWorkerMirroredStrategy): A distribution strategy for synchronous training on multiple workers.\n\n[`class ParameterServerStrategy`](../../tf/distribute/experimental/ParameterServerStrategy): An multi-worker tf.distribute strategy with parameter servers.\n\n[`class PreemptionCheckpointHandler`](../../tf/distribute/experimental/PreemptionCheckpointHandler): Preemption and error handler for synchronous training.\n\n[`class PreemptionWatcher`](../../tf/distribute/experimental/PreemptionWatcher): Watch preemption signal and store it.\n\n[`class TPUStrategy`](../../tf/distribute/experimental/TPUStrategy): Synchronous training on TPUs and TPU Pods.\n\n[`class TerminationConfig`](../../tf/distribute/experimental/TerminationConfig): Customization of `PreemptionCheckpointHandler` for various platforms.\n\n[`class ValueContext`](../../tf/distribute/experimental/ValueContext): A class wrapping information needed by a distribute function."]]
