Shortcuts

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

# mypy: allow-untyped-defs
# 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 socket
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any, Callable, ClassVar, Dict, Optional

from torch.distributed import Store
from torch.distributed.elastic.utils.distributed import get_free_port


__all__ = [
    "RendezvousClosedError",
    "RendezvousConnectionError",
    "RendezvousError",
    "RendezvousGracefulExitError",
    "RendezvousHandler",
    "RendezvousHandlerCreator",
    "RendezvousHandlerRegistry",
    "RendezvousInfo",
    "RendezvousParameters",
    "RendezvousStateError",
    "RendezvousStoreInfo",
    "RendezvousTimeoutError",
    "rendezvous_handler_registry",
]


[docs]class RendezvousError(Exception): """Represents the base type for rendezvous errors."""
[docs]class RendezvousClosedError(RendezvousError): """Raised when a rendezvous is closed."""
[docs]class RendezvousTimeoutError(RendezvousError): """Raised when a rendezvous did not complete on time."""
[docs]class RendezvousConnectionError(RendezvousError): """Raised when the connection to a rendezvous backend has failed."""
[docs]class RendezvousStateError(RendezvousError): """Raised when the state of a rendezvous is corrupt."""
[docs]class RendezvousGracefulExitError(RendezvousError): """Raised when node wasn't not included in rendezvous and gracefully exits. Exception is a mechanism to exit the stack, however does not mean a failure. """
[docs]@dataclass class RendezvousStoreInfo: """Store address and port that can be used to bootstrap trainer distributed comms""" MASTER_ADDR_KEY: ClassVar[str] = "MASTER_ADDR" MASTER_PORT_KEY: ClassVar[str] = "MASTER_PORT" master_addr: str master_port: int
[docs] @staticmethod def build( rank: int, store: Store, local_addr: Optional[str], server_port: Optional[int] = None, ) -> "RendezvousStoreInfo": """Factory method, finds unused new port on rank0 host and addr/port info with all ranks. If master_addr/master_port is knowns (useful when sharing existing tcp store server) use the constructor. Args: rank: rank of the current node store: store to use for rendezvous local_addr: address of the current node, if not provided will be resolved from hostname server_port: port of the TCPStore server, when the TCPStore is shared. """ # TODO swap to collectives comms API if rank == 0: addr = local_addr or socket.getfqdn() # When TCPStore is not shared, we fallback to get_free_port. port = server_port or get_free_port() store.set(RendezvousStoreInfo.MASTER_ADDR_KEY, addr.encode(encoding="UTF-8")) # type: ignore[arg-type] store.set(RendezvousStoreInfo.MASTER_PORT_KEY, str(port).encode(encoding="UTF-8")) # type: ignore[arg-type] addr = store.get(RendezvousStoreInfo.MASTER_ADDR_KEY).decode(encoding="UTF-8") port = int( store.get(RendezvousStoreInfo.MASTER_PORT_KEY).decode(encoding="UTF-8") ) return RendezvousStoreInfo(master_addr=addr, master_port=port)
[docs]class RendezvousInfo: """Holds the information about the rendezvous.""" def __init__( self, store: Store, rank: int, world_size: int, bootstrap_store_info: RendezvousStoreInfo, ): self._store = store self._rank = rank self._world_size = world_size self._bootstrap_store_info = bootstrap_store_info @property def store(self) -> Store: """Store used by torchelastic control plane""" return self._store @property def rank(self) -> int: """Rank within a group""" return self._rank @property def world_size(self) -> int: """Global group size""" return self._world_size @property def bootstrap_store_info(self) -> Optional[RendezvousStoreInfo]: """Store information that can used by trainer code to bootstrap distributed comms.""" return self._bootstrap_store_info
[docs]class RendezvousHandler(ABC): """Main rendezvous interface. Note: Distributed Torch users normally **do not** need to implement their own ``RendezvousHandler``. An implementation based on C10d Store is already provided, and is recommended for most users. """
[docs] @abstractmethod def get_backend(self) -> str: """Return the name of the rendezvous backend."""
@property def use_agent_store(self) -> bool: """Indicates that store reference returned by :py:meth:`next_rendezvous` can be shared with user applications and will be available during application lifecyle. Rendezous handler impl will share store details as instance of :py:class:`RendezvousStoreInfo`. Applications as a convention use `MASTER_ADDR`/`MASTER_PORT` env variables to lookup the store. """ return False
[docs] @abstractmethod def next_rendezvous(self) -> RendezvousInfo: """Main entry-point into the rendezvous barrier. Blocks until the rendezvous is complete and the current process is included in the formed worker group, or a timeout occurs, or the rendezvous was marked closed. Returns: Instance of :py:class:`RendezvousInfo`. Raises: RendezvousClosedError: The rendezvous is closed. RendezvousConnectionError: The connection to the rendezvous backend has failed. RendezvousStateError: The rendezvous state is corrupt. RendezvousTimeoutError: The rendezvous did not complete on time. """
[docs] @abstractmethod def is_closed(self) -> bool: """Check whether the rendezvous has been closed. A closed rendezvous means all future attempts to re-rendezvous within same job will fail. ``is_closed()`` and :py:meth:`set_closed` have semantics of eventual propagation and should not be used for synchronization. The intention is that if at least one node decides the job is finished, it will close the rendezvous, and other nodes will soon observe this and stop running as well. """
[docs] @abstractmethod def set_closed(self): """Mark the rendezvous as closed."""
[docs] @abstractmethod def num_nodes_waiting(self) -> int: """Return the number of nodes who arrived late at the rendezvous barrier, hence were not included in the current worker group. Callers should periodically call this method to check whether new nodes are waiting to join the job and if so admit them by calling :py:meth:`next_rendezvous()` (re-rendezvous). """
[docs] @abstractmethod def get_run_id(self) -> str: """Return the run id of the rendezvous. The run id is a user-defined id that uniquely identifies an instance of a distributed application. It typically maps to a job id and is used to allow nodes to join the correct distributed application. """
[docs] @abstractmethod def shutdown(self) -> bool: """Close all resources that were open for the rendezvous. Example:: rdzv_handler = ... try: store, rank, world_size = rdzv_handler.next_rendezvous() finally: rdzv_handler.shutdown() """
[docs]class RendezvousParameters: """Hold the parameters to construct a :py:class:`RendezvousHandler`. Args: backend: The name of the backend to use to handle the rendezvous. endpoint: The endpoint of the rendezvous, usually in form <hostname>[:<port>]. run_id: The id of the rendezvous. min_nodes: The minimum number of nodes to admit to the rendezvous. max_nodes: The maximum number of nodes to admit to the rendezvous. local_addr: The address of the local node. **kwargs: Additional parameters for the specified backend. """ def __init__( self, backend: str, endpoint: str, run_id: str, min_nodes: int, max_nodes: int, local_addr: Optional[str] = None, **kwargs, ): if not backend: raise ValueError("The rendezvous backend name must be a non-empty string.") if min_nodes < 1: raise ValueError( f"The minimum number of rendezvous nodes ({min_nodes}) must be greater than zero." ) if max_nodes < min_nodes: raise ValueError( f"The maximum number of rendezvous nodes ({max_nodes}) must be greater than or " f"equal to the minimum number of rendezvous nodes ({min_nodes})." ) self.backend = backend self.endpoint = endpoint self.run_id = run_id self.min_nodes = min_nodes self.max_nodes = max_nodes self.config = kwargs self.local_addr = local_addr
[docs] def get(self, key: str, default: Any = None) -> Any: """Return the value for ``key`` if ``key`` exists, else ``default``.""" return self.config.get(key, default)
[docs] def get_as_bool(self, key: str, default: Optional[bool] = None) -> Optional[bool]: """Return the value for ``key`` as a ``bool``.""" value = self.get(key, default) if value is None or isinstance(value, bool): return value if isinstance(value, int): if value == 1: return True if value == 0: return False elif isinstance(value, str): if value.lower() in ["1", "true", "t", "yes", "y"]: return True if value.lower() in ["0", "false", "f", "no", "n"]: return False raise ValueError( f"The rendezvous configuration option '{key}' does not represent a valid boolean value." )
[docs] def get_as_int(self, key: str, default: Optional[int] = None) -> Optional[int]: """Return the value for ``key`` as an ``int``.""" value = self.get(key, default) if value is None: return value try: return int(value) except ValueError as e: raise ValueError( f"The rendezvous configuration option '{key}' does not represent a valid integer " "value." ) from e
RendezvousHandlerCreator = Callable[[RendezvousParameters], RendezvousHandler]
[docs]class RendezvousHandlerRegistry: """Represent a registry of :py:class:`RendezvousHandler` backends.""" _registry: Dict[str, RendezvousHandlerCreator] def __init__(self) -> None: self._registry = {} def register(self, backend: str, creator: RendezvousHandlerCreator) -> None: """Register a new rendezvous backend. Args: backend: The name of the backend. creator: The callback to invoke to construct the :py:class:`RendezvousHandler`. """ if not backend: raise ValueError("The rendezvous backend name must be a non-empty string.") current_creator: Optional[RendezvousHandlerCreator] try: current_creator = self._registry[backend] except KeyError: current_creator = None if current_creator is not None and current_creator != creator: raise ValueError( f"The rendezvous backend '{backend}' cannot be registered with '{creator}' as it " f"is already registered with '{current_creator}'." ) self._registry[backend] = creator def create_handler(self, params: RendezvousParameters) -> RendezvousHandler: """Create a new :py:class:`RendezvousHandler`.""" try: creator = self._registry[params.backend] except KeyError as e: raise ValueError( f"The rendezvous backend '{params.backend}' is not registered. Did you forget " f"to call `{self.register.__name__}`?" ) from e handler = creator(params) # Do some sanity check. if handler.get_backend() != params.backend: raise RuntimeError( f"The rendezvous backend '{handler.get_backend()}' does not match the requested " f"backend '{params.backend}'." ) return handler
# The default global registry instance used by launcher scripts to instantiate # rendezvous handlers. rendezvous_handler_registry = RendezvousHandlerRegistry()

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