nvflare.app_common.ccwf.common module

class Constant

Bases: object

ACTION = 'cwf.action'

AGGREGATOR = 'cwf.aggr'

AGGR_CLIENTS = 'cwf.aggr_clients'

ALL_DONE = 'cwf.all_done'

BASENAME_ASK_FOR_MODEL = 'ask_for_model'

BASENAME_CONFIG = 'config'

BASENAME_EVAL = 'eval'

BASENAME_LEARN = 'learn'

BASENAME_REPORT_FINAL_RESULT = 'report_final_result'

BASENAME_REPORT_LEARN_RESULT = 'report_learn_result'

BASENAME_START = 'start'

CLIENT = 'cwf.client'

CLIENTS = 'cwf.clients'

CLIENT_ORDER = 'cwf.client_order'

CONFIG = 'cwf.config'

CONFIG_TASK_TIMEOUT = 300

END_WORKFLOW_TIMEOUT = 2.0

ERROR = 'cwf.error'

EVALUATEES = 'cwf.evaluatees'

EVALUATORS = 'cwf.evaluators'

EVAL_GLOBAL = 'cwf.eval_global'

EVAL_LOCAL = 'cwf.eval_local'

EXECUTOR = 'cwf.executor'

EXECUTOR_FINALIZED = 'cwf.executor_finalized'

EXECUTOR_INITIALIZED = 'cwf.executor_initialized'

FINAL_RESULT_ACK_TIMEOUT = 10

GET_MODEL_TIMEOUT = 10

GLOBAL_CLIENT = 'cwf.global_client'

GLOBAL_NAMES = 'cwf.global_names'

JOB_STATUS_CHECK_INTERVAL = 2.0

LAST_ROUND = 'cwf.last_round'

LEARN_TASK_ABORT_TIMEOUT = 5.0

LEARN_TASK_ACK_TIMEOUT = 10

LEARN_TASK_CHECK_INTERVAL = 1.0

METRIC = 'cwf.metric'

MODEL_NAME = 'cwf.model_name'

MODEL_OWNER = 'cwf.model_owner'

MODEL_TYPE = 'cwf.model_type'

ORDER = 'cwf.order'

PER_CLIENT_STATUS_REPORT_TIMEOUT = 90.0

PRIVATE_P2P = 'cwf.private_p2p'

PROP_KEY_TRAIN_CLIENTS = 'cwf.train_clients'

RC_NO_GLOBAL_MODELS = 'cwf.no_global_models'

RC_NO_LOCAL_MODEL = 'cwf.no_local_model'

RC_UNABLE_TO_EVAL = 'cwf.unable_to_eval'

RESULT = 'cwf.result'

RESULT_CLIENTS = 'cwf.result_clients'

RESULT_TYPE = 'cwf.result_type'

ROUND = 'cwf.round'

START_CLIENT = 'cwf.start_client'

START_ROUND = 'cwf.start_round'

START_TASK_TIMEOUT = 10

STATUS_REPORTS = 'cwf.status_reports'

TASK_CHECK_INTERVAL = 0.5

TASK_NAME_PREFIX = 'cwf.task_prefix'

TIMESTAMP = 'cwf.timestamp'

TN_PREFIX_CROSS_SITE_EVAL = 'cse'

TN_PREFIX_CYCLIC = 'cyclic'

TN_PREFIX_SWARM = 'swarm'

TOPIC_END_WORKFLOW = 'cwf.end_wf'

TOPIC_SHARE_RESULT = 'cwf.share_result'

TRAIN_CLIENTS = 'cwf.train_clients'

WORKFLOW_PROGRESS_TIMEOUT = 3600.0

class CyclicOrder

Bases: object

FIXED = 'fixed'

RANDOM = 'random'

class ModelType

Bases: object

GLOBAL = 'global'

LOCAL = 'local'

class NumberMetricComparator

Bases: MetricComparator

compare(a, b) → int | float

Compare two metric values. Metric values do not have to be numbers.

Parameters:

• a – first metric value

• b – second metric value

Returns: negative number if a < b; 0 if a == b; positive number if a > b.

class ResultType

Bases: object

BEST = 'best'

LAST = 'last'

class StatusReport(timestamp=None, action: str = '', last_round=None, all_done=False, error: str = '')

Bases: object

to_dict() → dict

make_task_name(prefix: str, base_name: str) → str

rotate_to_front(item, items: list)

status_report_from_dict(d: dict) → StatusReport

topic_for_end_workflow(wf_id)