tff.program.FederatedDataSource
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An abstract interface for representing federated data sources.
This interface abstracts away the specifics of working with various types of
data sources.
Things one can do with a data source:
Determine the type of the data supplied by this data source by inspecting
the federated_type property. The type returned should be a federated type.
Note that depending on whether this data source contains one or a number of
federated datasets, the type may or may not be a struct (with individual
datasets appearing as elements of this struct).
Construct a new iterator for this data source by invoking iterator on it.
Each iterator represents an independent pass over the data from this data
source.
Attributes |
|---|
federated_type
|
The type of the data returned by calling select on an iterator.
|
Methods
iterator
View source
@abc.abstractmethod
iterator() -> tff.program.FederatedDataSourceIterator
Returns a new iterator for retrieving data from this data source.
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Last updated 2024-09-20 UTC.
[null,null,["Last updated 2024-09-20 UTC."],[],[],null,["# tff.program.FederatedDataSource\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\nAn abstract interface for representing federated data sources.\n\nThis interface abstracts away the specifics of working with various types of\ndata sources.\n\nThings one can do with a data source:\n\n- Determine the type of the data supplied by this data source by inspecting\n the `federated_type` property. The type returned should be a federated type.\n Note that depending on whether this data source contains one or a number of\n federated datasets, the type may or may not be a struct (with individual\n datasets appearing as elements of this struct).\n\n- Construct a new iterator for this data source by invoking `iterator` on it.\n Each iterator represents an independent pass over the data from this data\n source.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|------------------|-------------------------------------------------------------------|\n| `federated_type` | The type of the data returned by calling `select` on an iterator. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `iterator`\n\n[View source](https://github.com/tensorflow/federated/blob/v0.87.0\nVersion 2.0, January 2004\nLicensed under the Apache License, Version 2.0 (the) \n\n @abc.abstractmethod\n iterator() -\u003e ../../tff/program/FederatedDataSourceIterator\n\nReturns a new iterator for retrieving data from this data source."]]
View source on GitHub