torch.distributed.elastic.rendezvous.api — PyTorch 2.7 documentation (original) (raw)
mypy: allow-untyped-defs
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This source code is licensed under the BSD-style license found in the
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import socket from abc import ABC, abstractmethod from dataclasses import dataclass from typing import Any, Callable, ClassVar, 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 handlerThe default global registry instance used by launcher scripts to instantiate
rendezvous handlers.
rendezvous_handler_registry = RendezvousHandlerRegistry()