[Rebase] Align vLLM-Omni with vLLM v0.31.0 (#8459)
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
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@@ -14,6 +14,7 @@ from typing import Literal
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import pytest
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import torch
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from tests.helpers.distributed import configure_cpu_collective_worker, start_collective_workers
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from tests.helpers.mark import hardware_marks
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from vllm_omni.diffusion.distributed.comm import RingComm, SeqAllToAll4D, SeqAllToAll5D
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from vllm_omni.diffusion.distributed.parallel_state import (
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@@ -56,6 +57,8 @@ def _init_worker(
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"MASTER_PORT": str(master_port),
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}
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)
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if device_kind == "cpu":
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configure_cpu_collective_worker()
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backend = "gloo" if device_kind == "cpu" else None
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init_distributed_environment(backend=backend)
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@@ -227,6 +230,10 @@ def _run_ring_p2p(
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atol=atol,
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msg=f"[Rank {local_rank}] Ring P2P data mismatch",
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)
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if device_kind == "cpu":
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# P2P completion only synchronizes neighbors. Keep fast CPU ranks
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# alive until every rank has finished constructing and using groups.
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torch.distributed.barrier()
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finally:
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destroy_distributed_env()
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@@ -243,7 +250,7 @@ def _spawn_4d_identity(
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device_kind: DeviceKind,
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master_port: int,
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) -> None:
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torch.multiprocessing.spawn(
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start_collective_workers(
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_run_4d_identity,
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args=(
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world_size,
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@@ -257,6 +264,7 @@ def _spawn_4d_identity(
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master_port,
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),
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nprocs=world_size,
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device_kind=device_kind,
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)
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@@ -272,7 +280,7 @@ def _spawn_5d_identity(
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device_kind: DeviceKind,
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master_port: int,
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) -> None:
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torch.multiprocessing.spawn(
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start_collective_workers(
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_run_5d_identity,
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args=(
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world_size,
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@@ -286,6 +294,7 @@ def _spawn_5d_identity(
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master_port,
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),
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nprocs=world_size,
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device_kind=device_kind,
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)
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@@ -299,10 +308,11 @@ def _spawn_ring_p2p(
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device_kind: DeviceKind,
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master_port: int,
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) -> None:
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torch.multiprocessing.spawn(
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start_collective_workers(
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_run_ring_p2p,
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args=(world_size, dtype, batch_size, num_heads, head_size, device_kind, master_port),
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nprocs=world_size,
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device_kind=device_kind,
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)
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@@ -499,8 +509,9 @@ def _run_fused_qkv_matches_three_4d(
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@pytest.mark.cpu
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@pytest.mark.parametrize("world_size", [2, 4])
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def test_fused_qkv_all_to_all_matches_three_4d_exchanges_cpu(world_size: int) -> None:
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torch.multiprocessing.spawn(
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start_collective_workers(
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_run_fused_qkv_matches_three_4d,
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args=(world_size, "cpu", 29613),
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nprocs=world_size,
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device_kind="cpu",
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)
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