openfl.component.director

Director class. The Director is the central node of the federation (Director-Based Workflow).

Class Attributes:

tls (bool) – A flag indicating if TLS should be used for connections.
root_certificate (Union[Path, str]) – The path to the root certificate for TLS.
private_key (Union[Path, str]) – The path to the private key for TLS.
certificate (Union[Path, str]) – The path to the certificate for TLS.
sample_shape (list) – The shape of the sample data.
target_shape (list) – The shape of the target data.
review_plan_callback (Union[None, Callable]) – A callback function for reviewing the plan.
envoy_health_check_period (int) – The period for health check of envoys in seconds.
install_requirements (bool) – A flag indicating if the requirements should be installed.
_shard_registry (dict) – A dictionary to store the shard registry.
experiments_registry (ExperimentsRegistry) – An object of ExperimentsRegistry to store the experiments.
col_exp_queues (defaultdict) – A defaultdict to store the experiment queues for collaborators.
col_exp (dict) – A dictionary to store the experiments for collaborators.
logger (Logger) – A logger for logging activities.

acknowledge_shard(shard_info: dict) → bool

Save shard info to shard registry if it’s acceptable.

Parameters:: shard_info (dict) – The shard info dictionary should be able to store registries.
Returns:: is_accepted (bool) – Bool value to accept o deny the addition of the shard info.

get_dataset_info(): Get dataset info.

get_envoys() → list

Get a status information about envoys.

Returns:: list – List with the status information about envoys.

get_experiment_data(experiment_name: str) → Path

Get experiment data.

Parameters:: experiment_name (str) – String id for experiment.
Returns:: str – Path of archive.

get_experiment_description(caller: str, name: str) → dict

Get a experiment information by name for specific user.

Parameters:

caller (str) – String id for experiment owner.
name (str) – String id for experiment name.

Returns:

dict – Dictionary with the info from the experiment.

async get_experiment_status(experiment_name: str, caller: str)

Get experiment status.

Parameters:

experiment_name (str) – String id for experiment.
caller (str) – String id for experiment owner.

Returns:

str – The status of the experiment can be one of the following: - PENDING = ‘pending’ - FINISHED = ‘finished’ - IN_PROGRESS = ‘in_progress’ - FAILED = ‘failed’ - REJECTED = ‘rejected’

get_experiments_list(caller: str) → list

Get experiments list for specific user.

Parameters:: caller (str) – String id for experiment owner.
Returns:: list – List with the info of the experiment for specific user.

get_registered_shards() → list: Get registered shard infos.

get_trained_model(experiment_name: str, caller: str, model_type: str)

Get trained model.

Parameters:

experiment_name (str) – String id for experiment.
caller (str) – String id for experiment owner.
model_type (str) – The type of the model.

Returns:

None – One of the following: [No experiment data in the stash] or [Aggregator have no aggregated model to return] or [Unknown model type required].
dict – Dictionary of tensors from the aggregator when the model type is ‘best’ or ‘last’.

remove_experiment_data(experiment_name: str, caller: str)

Remove experiment data from stash.

Parameters:

experiment_name (str) – String id for experiment.
caller (str) – String id for experiment owner.

set_experiment_failed(*, experiment_name: str, collaborator_name: str)

Envoys Set experiment failed RPC.

Parameters:

experiment_name (str) – String id for experiment.
collaborator_name (str) – String id for collaborator.

Returns:

None

async set_new_experiment(*, experiment_name: str, sender_name: str, tensor_dict: dict, collaborator_names: Iterable[str], experiment_archive_path: Path) → bool

Set new experiment.

Parameters:

experiment_name (str) – String id for experiment.
sender_name (str) – The name of the sender.
tensor_dict (dict) – Dictionary of tensors.
collaborator_names (Iterable[str]) – Names of collaborators.
experiment_archive_path (Path) – Path of the experiment.

Returns:

bool – Boolean returned if the experiment register was successful.

async start_experiment_execution_loop(): Run task to monitor and run experiments.

async stream_metrics(experiment_name: str, caller: str)

Stream metrics from the aggregator.

This method takes next metric dictionary from the aggregator’s queue and returns it to the caller.

Parameters:

experiment_name (str) – String id for experiment.
caller (str) – String id for experiment owner.

Returns:

metric_dict – {‘metric_origin’,’task_name’,’metric_name’,’metric_value’,’round’} if the queue is not empty.
None – queue is empty but the experiment is still running.

Raises:

StopIteration – if the experiment is finished and there is no more metrics to report.

update_envoy_status(*, envoy_name: str, is_experiment_running: bool, cuda_devices_status: list | None = None) → int

Accept health check from envoy.

Parameters:

envoy_name (str) – String id for envoy.
is_experiment_running (bool) – Boolean value for the status of the experiment.
cuda_devices_status (list, optional) – List of cuda devices and status. Defaults to None.

Raises:

ShardNotFoundError – When Unknown shard {envoy_name}.

Returns:

int – Value of the envoy_health_check_period.

async wait_experiment(envoy_name: str) → str

Wait an experiment.

Parameters:: envoy_name (str) – The name of the envoy.
Returns:: str – The name of the experiment on the queue.

`director`	Director module.
`experiment`	Experiment module.