tff.simulation.datasets.save_to_sql_client_data

Serialize a federated dataset into a SQL database compatible with SqlClientData.

tff.simulation.datasets.save_to_sql_client_data(
    client_ids: list[str],
    dataset_fn: Callable[[str], tf.data.Dataset],
    database_filepath: str,
    allow_overwrite: bool = False,
    split_names_by_client_id: Optional[Mapping[str, str]] = None
) -> None

Args
`client_ids`	A list of string identifiers for clients in this dataset.
`dataset_fn`	A callable that accepts a `str` as an argument and returns a `tf.data.Dataset` instance. Unlike `from_client_and_tf_dataset_fn`, it does not require a TF serializable dataset function.
`database_filepath`	A `str` filepath to the SQL database.
`allow_overwrite`	A boolean indicating whether to allow overwriting if file already exists at dataset_filepath.
`split_names_by_client_id`	An optional mapping from client identifier to a `str` identifier for the split (e.g. `"train"`) the client belongs to.

Raises
`FileExistsError`	if file exists at `dataset_filepath` and `allow_overwrite` is False. If overwriting is intended, please use allow_overwrite = True.
`ElementSpecCompatibilityError`	if the element_spec of local datasets are not identical across clients, or if the element_spec of datasets are not of type `Mapping[str, TensorSpec]`.
`ValueError`	If `split_names_by_client_id` is passed and is missing an entry for a client in `client_ids`.

tff.simulation.datasets.save_to_sql_client_data

Args

Raises