270 lines
9.6 KiB
Python
270 lines
9.6 KiB
Python
#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file is a part of the vllm-ascend project.
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#
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from __future__ import annotations
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import logging
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from functools import wraps
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from typing import Any, cast
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import torch
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import vllm
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from torch.distributed import Backend
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from vllm.distributed.parallel_state import GroupCoordinator, _get_unique_name, _register_group
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from vllm_ascend.distributed.device_communicators.npu_communicator import NPUCommunicator
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from vllm_ascend.patch.worker._hccl_pg_registry import HcclPgKey, HcclPgRegistry, make_hccl_pg_key
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from vllm_ascend.utils import create_hccl_pg_options
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_HCCL_PG_REGISTRY = HcclPgRegistry()
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logger = logging.getLogger(__name__)
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def _normalize_backend(backend: str | Backend) -> str:
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return str(backend)
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def _resolve_reuse_domain(group_name: str) -> str:
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group_base_name = group_name.split(":")[0]
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if "eplb" in group_base_name or group_base_name == "mc2":
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return group_base_name
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return "shared"
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def _create_device_group(
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ranks: list[int],
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backend: str,
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hccl_pg_options: object,
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):
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return torch.distributed.new_group(
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ranks,
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backend=backend,
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pg_options=hccl_pg_options,
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)
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def _acquire_hccl_group(
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*,
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ranks: list[int],
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backend: str,
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hccl_pg_options: object,
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reuse_domain: str,
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):
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# Coordinator construction must remain process-serial and globally ordered:
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# new_group is collective, and the registry only deduplicates equivalent
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# HCCL groups within that ordering contract. It is not a concurrent PG factory.
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hccl_key = make_hccl_pg_key(ranks, backend, hccl_pg_options, reuse_domain)
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device_group = _HCCL_PG_REGISTRY.acquire(
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ranks=ranks,
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backend=backend,
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pg_options=hccl_pg_options,
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reuse_domain=reuse_domain,
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create_fn=lambda: _create_device_group(ranks, backend, hccl_pg_options),
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)
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return device_group, hccl_key
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def _wrap_destroy_distributed_environment(destroy_fn):
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if getattr(cast(Any, destroy_fn), "_hccl_registry_clearing_wrapped", False) is True:
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return destroy_fn
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@wraps(destroy_fn)
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def wrapped(*args, **kwargs):
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try:
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return destroy_fn(*args, **kwargs)
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finally:
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_HCCL_PG_REGISTRY.clear()
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cast(Any, wrapped)._hccl_registry_clearing_wrapped = True
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return wrapped
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def _patch_destroy_distributed_environment():
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destroy_fn = _wrap_destroy_distributed_environment(vllm.distributed.parallel_state.destroy_distributed_environment)
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vllm.distributed.parallel_state.destroy_distributed_environment = destroy_fn
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vllm.distributed.destroy_distributed_environment = destroy_fn
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class GroupCoordinatorPatch(GroupCoordinator):
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def __init__(
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self,
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group_ranks: list[list[int]],
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local_rank: int,
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torch_distributed_backend: str | Backend,
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use_device_communicator: bool, # whether to use device communicator
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use_message_queue_broadcaster: bool = False,
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group_name: str | None = None,
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):
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group_name = group_name or "anonymous"
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self.unique_name = _get_unique_name(group_name)
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_register_group(self)
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self.rank = torch.distributed.get_rank()
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self.local_rank = local_rank
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self.backend = _normalize_backend(torch_distributed_backend)
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self._acquired_hccl_keys: list[HcclPgKey] = []
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self._unshared_hccl_groups: list[object] = []
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self.use_device_communicator = use_device_communicator
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self.device_communicator: NPUCommunicator | None = None
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self.mq_broadcaster = None
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self.cpu_group = None
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self.device_group = None
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self.device = None
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self.use_custom_op_call = True
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self.use_cpu_custom_send_recv = False
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self.group_name = group_name
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self.group_ranks = group_ranks
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try:
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self._init_device_groups(create_cpu_group=True)
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assert self.cpu_group is not None
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assert self.device_group is not None
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self._init_device_communicator()
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from vllm.distributed.device_communicators.shm_broadcast import MessageQueue
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if use_message_queue_broadcaster and self.world_size > 1:
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self.mq_broadcaster = MessageQueue.create_from_process_group(
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self.cpu_group,
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1 << 22,
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6,
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)
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except Exception:
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try:
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self.destroy()
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except Exception:
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logger.exception("Failed to clean up partially initialized GroupCoordinatorPatch")
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raise
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def _init_device_groups(self, create_cpu_group: bool) -> None:
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reuse_domain = _resolve_reuse_domain(self.group_name)
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self_device_group = None
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for ranks in self.group_ranks:
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hccl_pg_options = create_hccl_pg_options(self.group_name)
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device_group, hccl_key = _acquire_hccl_group(
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ranks=ranks,
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backend=self.backend,
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hccl_pg_options=hccl_pg_options,
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reuse_domain=reuse_domain,
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)
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if hccl_key is not None:
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self._acquired_hccl_keys.append(hccl_key)
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elif self.backend == "hccl" and self.rank in ranks:
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self._unshared_hccl_groups.append(device_group)
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cpu_group = torch.distributed.new_group(ranks, backend="gloo") if create_cpu_group else None
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if self.rank in ranks:
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if create_cpu_group:
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self.ranks = ranks
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self.world_size = len(ranks)
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self.rank_in_group = ranks.index(self.rank)
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self.cpu_group = cpu_group
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self_device_group = device_group
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if self_device_group is not None:
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self.device_group = self_device_group
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def _init_device_communicator(self) -> None:
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self.device = torch.npu.current_device()
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if self.use_device_communicator and self.world_size > 1:
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self.device_communicator = NPUCommunicator(
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cpu_group=self.cpu_group,
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device=self.device,
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device_group=self.device_group,
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unique_name=self.unique_name,
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)
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def _release_hccl_resources(self) -> bool:
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destroyed = False
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device_communicator = getattr(self, "device_communicator", None)
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if device_communicator is not None:
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device_communicator.destroy()
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self.device_communicator = None
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destroyed = True
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if hasattr(self, "_acquired_hccl_keys"):
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for hccl_key in reversed(self._acquired_hccl_keys):
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_HCCL_PG_REGISTRY.release(hccl_key)
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self._acquired_hccl_keys = []
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destroyed = True
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if hasattr(self, "_unshared_hccl_groups"):
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for device_group in reversed(self._unshared_hccl_groups):
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torch.distributed.destroy_process_group(device_group)
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self._unshared_hccl_groups = []
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destroyed = True
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return destroyed
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def destroy(self):
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if getattr(self, "mq_broadcaster", None) is not None:
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self.mq_broadcaster = None
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self._release_hccl_resources()
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device_group = getattr(self, "device_group", None)
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if device_group is not None and self.backend != "hccl":
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torch.distributed.destroy_process_group(device_group)
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if hasattr(self, "device_group"):
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del self.device_group
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cpu_group = getattr(self, "cpu_group", None)
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if cpu_group is not None:
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torch.distributed.destroy_process_group(cpu_group)
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if hasattr(self, "cpu_group"):
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del self.cpu_group
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def destroy_hccl(self) -> bool:
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"""Release the HCCL process group."""
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destroyed = self._release_hccl_resources()
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if hasattr(self, "device_group"):
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self.device_group = None
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return destroyed
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def restore_hccl(self) -> bool:
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"""Recreate the HCCL process group in place after sleep mode."""
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if self.device_group is not None:
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return False
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self._init_device_groups(create_cpu_group=False)
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assert self.device_group is not None
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self._init_device_communicator()
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return True
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def all_to_all(
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self,
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input_: torch.Tensor,
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scatter_dim: int = 0,
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gather_dim: int = -1,
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scatter_sizes: list[int] | None = None,
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gather_sizes: list[int] | None = None,
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) -> torch.Tensor:
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if self.world_size == 1:
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return input_
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assert -input_.dim() <= scatter_dim < input_.dim(), (
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f"Invalid scatter dim ({scatter_dim}) for input tensor with shape {input_.size()}"
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)
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assert -input_.dim() <= gather_dim < input_.dim(), (
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f"Invalid gather dim ({gather_dim}) for input tensor with shape {input_.size()}"
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)
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assert self.device_communicator is not None, "device_communicator should be initialized when world_size > 1"
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return self.device_communicator.all_to_all(input_, scatter_dim, gather_dim, scatter_sizes, gather_sizes)
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vllm.distributed.parallel_state.GroupCoordinator = GroupCoordinatorPatch
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_patch_destroy_distributed_environment()
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