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212 lines
7.1 KiB
212 lines
7.1 KiB
5 months ago
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#!/usr/bin/env python3
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"""
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A set of primitive functions for performing collective ops.
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Each should also handle single rank scenario.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any, Callable, cast, Generic, List, Optional, Tuple, TypeVar, Union
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import torch.distributed as dist
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T = TypeVar("T")
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@dataclass
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class SyncPayload(Generic[T]):
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stage_name: Optional[str]
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success: bool
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payload: T
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exception: Optional[Exception] = None
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def broadcast(
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data_or_fn: Union[T, Callable[[], T]],
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*,
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success: bool = True,
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stage_name: Optional[str] = None,
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rank: int = 0,
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pg: Optional[dist.ProcessGroup] = None,
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) -> T:
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"""
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Broadcasts the data payload from rank 0 to all other ranks.
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Or if a function is passed, execute it in rank 0 and broadcast result to all other ranks.
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Can be used to broadcast a failure signal to stop all ranks.
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If the function raises an exception, all ranks will raise.
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Args:
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data_or_fn: the data to broadcast or function to execute and broadcast result.
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success: False to stop all ranks.
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stage_name: the name of the logical stage for synchronization and debugging
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rank: rank to broadcast data or execute function and broadcast resutls.
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pg: the process group for sync
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Throws:
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RuntimeError from original exception trace
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Returns:
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the value after synchronization
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Example usage:
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>> id = broadcast(data_or_fn=allocate_id, rank=0, pg=ext_pg.my_pg)
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"""
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if not success and data_or_fn is not None:
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raise AssertionError("Data or Function is expected to be None if not successful")
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payload: Optional[T] = None
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exception : Optional[Exception] = None
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# if no pg is passed then execute if rank is 0
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if (pg is None and rank == 0) or (pg is not None and pg.rank() == rank):
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# determine if it is an executable function or data payload only
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if callable(data_or_fn):
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try:
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payload = data_or_fn()
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except Exception as e:
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success = False
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exception = e
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else:
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payload = data_or_fn
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# broadcast the exception type if any to all ranks for failure categorization
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sync_obj = SyncPayload(
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stage_name=stage_name,
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success=success,
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payload=payload,
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exception=exception,
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)
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if pg is not None:
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broadcast_list = [sync_obj]
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dist.broadcast_object_list(broadcast_list, src=rank, group=pg)
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assert len(broadcast_list) == 1
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sync_obj = broadcast_list[0]
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# failure in any rank will trigger a throw in every rank.
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if not sync_obj.success:
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error_msg = f"Rank {rank} failed"
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if stage_name is not None:
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error_msg += f": stage {sync_obj.stage_name}"
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if sync_obj.exception is not None:
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error_msg += f": exception {sync_obj.exception}"
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raise RuntimeError(error_msg) from sync_obj.exception
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return cast(T, sync_obj.payload)
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def all_gather(
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data_or_fn: Union[T, Callable[[], T]],
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stage_name: Optional[str] = None,
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pg: Optional[dist.ProcessGroup] = None,
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) -> List[T]:
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"""
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A simple all_gather primitive with basic synchronization guard logic,
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by checking payload from all ranks has the same stage name.
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Args:
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data_or_fn: the data to be all gathered across ranks or function to be executed
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stage_name: the sync stage name for out-of-sync protection
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pg: the process group for sync
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Throws:
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RuntimeError from original exception trace
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Returns:
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a list of synced data from all ranks
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Example usage:
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>> all_ids = all_gather(data_or_fn=allocate_id, pg=ext_pg.my_pg)
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"""
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payload: Optional[T] = None
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exception : Optional[Exception] = None
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success = True
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# determine if it is an executable function or data payload only
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if callable(data_or_fn):
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try:
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payload = data_or_fn()
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except Exception as e:
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success = False
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exception = e
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else:
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payload = data_or_fn
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sync_obj = SyncPayload(
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stage_name=stage_name,
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success=success,
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payload=payload,
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exception=exception,
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)
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if pg is not None:
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# List of success/failure across all ranks.
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total_list = [None] * dist.get_world_size(pg)
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all_gather_object_enforce_type(pg, total_list, sync_obj)
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# Each rank will throw RuntimeError in case of failure on any rank.
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stage_name = cast(SyncPayload[T], total_list[0]).stage_name
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exception_list: List[Tuple[int, Exception]] = []
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ret_list: List[T] = []
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error_msg: str = ""
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for i, sp in enumerate(cast(List[SyncPayload[T]], total_list)):
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if sp.stage_name != stage_name:
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error_msg += (
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f"Unexpected stage name received from rank {i}: {sp.stage_name} "
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)
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continue
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if not sp.success and sp.exception is not None:
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exception_list.append((i, sp.exception))
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continue
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ret_list.append(sp.payload)
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if len(exception_list) > 0:
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raise RuntimeError( # type: ignore[misc]
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error_msg, exception_list) from exception_list[0]
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return ret_list
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else:
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if not sync_obj.success:
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raise RuntimeError(
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f"all_gather failed with exception {sync_obj.exception}",
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) from sync_obj.exception
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return [sync_obj.payload] # type: ignore[list-item]
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# Note: use Any for typing for now so users can pass in
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# either a list of None or target type placeholders
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# otherwise pyre would complain
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def all_gather_object_enforce_type(
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pg: dist.ProcessGroup,
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# pyre-fixme[2]: Parameter must have a type that does not contain `Any`
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object_list: List[Any],
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# pyre-fixme[2]: Parameter must have a type other than `Any`
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obj: Any,
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# pyre-fixme[2]: Parameter must have a type that does not contain `Any`
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type_checker: Callable[[Any, Any], bool] = lambda x, y: type(x) == type(y),
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) -> None:
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"""
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Similar to plain all_gather_object but with additional type checking
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AFTER gather is done to ensure basic consistency.
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If check does not pass, all ranks will fail with exception.
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This is generally to prevent conditional logic leading to
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unexpected messages being received. This is considered fatal code error,
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but due to logic stacks this might happen implicitly in practice.
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The default check does not check sub type (considered different)
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or covariance (considered same) but users can pass in custom checker
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if more complicated check is needed.
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"""
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dist.all_gather_object(object_list, obj, group=pg)
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# conservative check
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list_len = len(object_list)
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if list_len == 0:
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return
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first_obj = object_list[0]
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for i in range(1, list_len):
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if not type_checker(first_obj, object_list[i]):
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raise TypeError(
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f"Object type at index {i} is {type(object_list[i])}, "
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f"while first object type is {type(first_obj)}"
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)
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