tff.simulation.compose_dataset_computation_with_learning_process
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Builds a new learning process which constructs datasets on clients.
tff.simulation.compose_dataset_computation_with_learning_process(
dataset_computation: tff.Computation,
process: tff.learning.templates.LearningProcess
) -> tff.learning.templates.LearningProcess
This functionality is identical to
tff.simulation.compose_dataset_computation_with_iterative_process, except
that all public attributes of the process (except for initialize and next)
are also preserved (eg. LearningProcess.get_model_weights).
Args |
|---|
dataset_computation
|
An instance of tff.Computation which accepts some
parameter and returns an element of tff.SequenceType.
|
process
|
An instance of tff.learning.templates.LearningProcess whose
next function accepts exactly one federated dataset (ie. something of
type {B*}@CLIENTS, where B is equivalent to the return type of
dataset_computation).
|
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Last updated 2024-09-20 UTC.
[null,null,["Last updated 2024-09-20 UTC."],[],[],null,["# tff.simulation.compose_dataset_computation_with_learning_process\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/federated/blob/v0.87.0 Version 2.0, January 2004 Licensed under the Apache License, Version 2.0 (the) |\n\nBuilds a new learning process which constructs datasets on clients. \n\n tff.simulation.compose_dataset_computation_with_learning_process(\n dataset_computation: ../../tff/Computation,\n process: ../../tff/learning/templates/LearningProcess\n ) -\u003e ../../tff/learning/templates/LearningProcess\n\nThis functionality is identical to\n[`tff.simulation.compose_dataset_computation_with_iterative_process`](../../tff/simulation/compose_dataset_computation_with_iterative_process), except\nthat all public attributes of the process (except for `initialize` and `next`)\nare also preserved (eg. [`LearningProcess.get_model_weights`](../../tff/learning/templates/LearningProcess#get_model_weights)).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `dataset_computation` | An instance of [`tff.Computation`](../../tff/Computation) which accepts some parameter and returns an element of [`tff.SequenceType`](../../tff/types/SequenceType). |\n| `process` | An instance of [`tff.learning.templates.LearningProcess`](../../tff/learning/templates/LearningProcess) whose `next` function accepts exactly one federated dataset (ie. something of type `{B*}@CLIENTS`, where `B` is equivalent to the return type of `dataset_computation`). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A [`tff.learning.templates.LearningProcess`](../../tff/learning/templates/LearningProcess). ||\n\n\u003cbr /\u003e"]]
View source on GitHub