Shortcuts

Source code for torch.distributed.elastic.events.api

#!/usr/bin/env python3

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

import json
from dataclasses import asdict, dataclass, field
from enum import Enum
from typing import Dict, Union, Optional


EventMetadataValue = Union[str, int, float, bool, None]


[docs]class EventSource(str, Enum): """ Known identifiers of the event producers. """ AGENT = "AGENT" WORKER = "WORKER"
[docs]@dataclass class Event: """ The class represents the generic event that occurs during the torchelastic job execution. The event can be any kind of meaningful action. Args: name: event name. source: the event producer, e.g. agent or worker timestamp: timestamp in milliseconds when event occured. metadata: additional data that is associated with the event. """ name: str source: EventSource timestamp: int = 0 metadata: Dict[str, EventMetadataValue] = field(default_factory=dict) def __str__(self): return self.serialize() @staticmethod def deserialize(data: Union[str, "Event"]) -> "Event": if isinstance(data, Event): return data if isinstance(data, str): data_dict = json.loads(data) data_dict["source"] = EventSource[data_dict["source"]] return Event(**data_dict) def serialize(self) -> str: return json.dumps(asdict(self))
class NodeState(str, Enum): """ The states that a node can be in rendezvous. """ INIT = "INIT" RUNNING = "RUNNING" SUCCEEDED = "SUCCEEDED" FAILED = "FAILED" @dataclass class RdzvEvent: """ Dataclass to represent any rendezvous event. Args: name: Event name. (E.g. Current action being performed) run_id: The run id of the rendezvous message: The message describing the event hostname: Hostname of the node pid: The process id of the node node_state: The state of the node (INIT, RUNNING, SUCCEEDED, FAILED) master_endpoint: The master endpoint for the rendezvous store, if known rank: The rank of the node, if known local_id: The local_id of the node, if defined in dynamic_rendezvous.py error_trace: Error stack trace, if this is an error event. """ name: str run_id: str message: str hostname: str pid: int node_state: NodeState master_endpoint: str = "" rank: Optional[int] = None local_id: Optional[int] = None error_trace: str = "" def __str__(self): return self.serialize() @staticmethod def deserialize(data: Union[str, "RdzvEvent"]) -> "RdzvEvent": if isinstance(data, RdzvEvent): return data if isinstance(data, str): data_dict = json.loads(data) data_dict["node_state"] = NodeState[data_dict["node_state"]] return RdzvEvent(**data_dict) def serialize(self) -> str: return json.dumps(asdict(self))

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources