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[Misc] Replace CUDA_VISIBLE_DEVICES in DP with torch.cuda.set_device for device selection on cuda-like devices (#27564)

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Signed-off-by: ilmarkov <markovilya197@gmail.com>
Co-authored-by: Tyler Michael Smith <tlrmchlsmth@gmail.com>
This commit is contained in:
Ilya Markov
2025-10-30 16:41:44 +01:00
committed by GitHub
parent e5e076cad7
commit 60f76baa66
4 changed files with 43 additions and 7 deletions
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23
vllm/v1/worker/gpu_worker.py
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@@ -172,6 +172,29 @@ class Worker(WorkerBase):
if self.device_config.device.type == "cuda":
# This env var set by Ray causes exceptions with graph building.
os.environ.pop("NCCL_ASYNC_ERROR_HANDLING", None)
if (
self.parallel_config.data_parallel_size > 1
and self.parallel_config.data_parallel_size_local > 0
and self.parallel_config.distributed_executor_backend
not in ["ray", "external_launcher"]
and self.vllm_config.parallel_config.data_parallel_backend != "ray"
):
# Use local DP rank if available, otherwise use global DP rank.
dp_local_rank = self.parallel_config.data_parallel_rank_local
if dp_local_rank is None:
dp_local_rank = self.parallel_config.data_parallel_rank
tp_pp_world_size = (
self.parallel_config.pipeline_parallel_size
* self.parallel_config.tensor_parallel_size
)
# DP_LOCAL_RANK * TP_PP_WORLD_SIZE + TP_LOCAL_RANK
self.local_rank += dp_local_rank * tp_pp_world_size
assert self.local_rank < torch.cuda.device_count(), (
f"DP adjusted local rank {self.local_rank} is out of bounds. "
)
self.device = torch.device(f"cuda:{self.local_rank}")
current_platform.set_device(self.device)