[Rebase] Align vLLM-Omni with vLLM v0.31.0 (#8459)

Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
This commit is contained in:
Zhou Taichang authored and GitHub committed 2026-10-05 14:11:01 +08:00
1 parent 1f47fa2f29
commit 0b0d2d7009
141 files changed
+2885 -721

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+15 -4
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@@ -14,6 +14,7 @@ from typing import Literal
import pytest
import torch
from tests.helpers.distributed import configure_cpu_collective_worker, start_collective_workers
from tests.helpers.mark import hardware_marks
from vllm_omni.diffusion.distributed.comm import RingComm, SeqAllToAll4D, SeqAllToAll5D
from vllm_omni.diffusion.distributed.parallel_state import (
@@ -56,6 +57,8 @@ def _init_worker(
"MASTER_PORT": str(master_port),
}
)
if device_kind == "cpu":
configure_cpu_collective_worker()
backend = "gloo" if device_kind == "cpu" else None
init_distributed_environment(backend=backend)
@@ -227,6 +230,10 @@ def _run_ring_p2p(
atol=atol,
msg=f"[Rank {local_rank}] Ring P2P data mismatch",
)
if device_kind == "cpu":
# P2P completion only synchronizes neighbors. Keep fast CPU ranks
# alive until every rank has finished constructing and using groups.
torch.distributed.barrier()
finally:
destroy_distributed_env()
@@ -243,7 +250,7 @@ def _spawn_4d_identity(
device_kind: DeviceKind,
master_port: int,
) -> None:
torch.multiprocessing.spawn(
start_collective_workers(
_run_4d_identity,
args=(
world_size,
@@ -257,6 +264,7 @@ def _spawn_4d_identity(
master_port,
),
nprocs=world_size,
device_kind=device_kind,
)
@@ -272,7 +280,7 @@ def _spawn_5d_identity(
device_kind: DeviceKind,
master_port: int,
) -> None:
torch.multiprocessing.spawn(
start_collective_workers(
_run_5d_identity,
args=(
world_size,
@@ -286,6 +294,7 @@ def _spawn_5d_identity(
master_port,
),
nprocs=world_size,
device_kind=device_kind,
)
@@ -299,10 +308,11 @@ def _spawn_ring_p2p(
device_kind: DeviceKind,
master_port: int,
) -> None:
torch.multiprocessing.spawn(
start_collective_workers(
_run_ring_p2p,
args=(world_size, dtype, batch_size, num_heads, head_size, device_kind, master_port),
nprocs=world_size,
device_kind=device_kind,
)
@@ -499,8 +509,9 @@ def _run_fused_qkv_matches_three_4d(
@pytest.mark.cpu
@pytest.mark.parametrize("world_size", [2, 4])
def test_fused_qkv_all_to_all_matches_three_4d_exchanges_cpu(world_size: int) -> None:
torch.multiprocessing.spawn(
start_collective_workers(
_run_fused_qkv_matches_three_4d,
args=(world_size, "cpu", 29613),
nprocs=world_size,
device_kind="cpu",
)