[Bugfix] Surface all-rank diffusion RPC failures (#4403)

Signed-off-by: hsliuustc0106 <liuhongsheng4@huawei.com>
This commit is contained in:
Hongsheng Liu authored and GitHub committed 2026-06-13 15:42:16 +08:00
1 parent d75a6433b4
commit fa94f41807
6 files changed
+353 -56

No files matched your search

+60 -4
View File
@@ -12,6 +12,7 @@ import gc
import multiprocessing as mp
import os
import signal
import traceback
from collections.abc import Iterable, Iterator
from contextlib import AbstractContextManager, contextmanager, nullcontext
from dataclasses import dataclass
@@ -41,7 +42,7 @@ from vllm_omni.diffusion.distributed.parallel_state import (
initialize_model_parallel,
)
from vllm_omni.diffusion.forward_context import set_forward_context
from vllm_omni.diffusion.ipc import pack_diffusion_output_shm
from vllm_omni.diffusion.ipc import DIFFUSION_RPC_RESULT_ENVELOPE, pack_diffusion_output_shm
from vllm_omni.diffusion.lora.manager import DiffusionLoRAManager
from vllm_omni.diffusion.request import OmniDiffusionRequest
from vllm_omni.diffusion.sched.interface import DiffusionSchedulerOutput
@@ -740,6 +741,18 @@ class WorkerProc:
"""Receive messages from broadcast queue."""
return self.mq.dequeue(indefinite=True)
def _gather_rpc_rank_statuses(self, status: dict[str, Any]) -> list[dict[str, Any]]:
if not torch.distributed.is_initialized():
return [status]
world_size = torch.distributed.get_world_size()
statuses: list[dict[str, Any] | None] = [None] * world_size
torch.distributed.all_gather_object(statuses, status)
missing_ranks = [rank for rank, rank_status in enumerate(statuses) if rank_status is None]
if missing_ranks:
logger.warning("RPC rank status gather returned missing entries for ranks: %s", missing_ranks)
return [s for s in statuses if s is not None]
def execute_rpc(self, rpc_request: dict) -> tuple[object | None, bool]:
"""Execute an RPC request and indicate whether to reply."""
method = rpc_request["method"]
@@ -747,6 +760,10 @@ class WorkerProc:
kwargs = rpc_request.get("kwargs", {})
output_rank = rpc_request.get("output_rank")
exec_all_ranks = rpc_request.get("exec_all_ranks", False)
collect_rank_status = rpc_request.get("collect_rank_status", False)
if collect_rank_status and not exec_all_ranks:
raise ValueError("collect_rank_status requires exec_all_ranks=True so all ranks enter the status gather")
should_execute = exec_all_ranks or output_rank is None or output_rank == self.gpu_id
should_reply = (output_rank is None or output_rank == self.gpu_id) and self.result_mq is not None
@@ -754,13 +771,52 @@ class WorkerProc:
if not should_execute:
return None, False
result = None
rpc_exception: Exception | None = None
status: dict[str, Any] = {
"rank": self.gpu_id,
"ok": True,
"error": None,
"error_type": None,
"traceback": None,
"bool_result": None,
}
try:
# Use execute_method from WorkerWrapperBase for consistent method resolution
result = self.worker.execute_method(method, *args, **kwargs)
return result, should_reply
except Exception as e:
logger.error(f"Error executing RPC: {e}", exc_info=True)
raise e
rpc_exception = e
status.update(
{
"ok": False,
"error": str(e),
"error_type": type(e).__name__,
"traceback": traceback.format_exc(),
}
)
if isinstance(result, bool):
status["bool_result"] = result
if collect_rank_status:
rank_statuses = self._gather_rpc_rank_statuses(status)
if should_reply:
return (
{
"type": DIFFUSION_RPC_RESULT_ENVELOPE,
"method": method,
"result": result,
"rank_statuses": rank_statuses,
},
True,
)
return None, False
if rpc_exception is not None:
raise rpc_exception
return result, should_reply
def worker_busy_loop(self) -> None:
"""Main busy loop for Multiprocessing Workers."""
@@ -801,7 +857,7 @@ class WorkerProc:
except Exception as e:
logger.error(f"Error processing RPC: {e}", exc_info=True)
if self.result_mq is not None:
self.return_result(DiffusionOutput.from_exception(e))
self.return_result({"status": "error", "error": str(e)})
elif isinstance(msg, dict) and msg.get("type") == "shutdown":
logger.info("Worker %s: Received shutdown message", self.gpu_id)