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Better integration with Ray Serve (#1821)

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Co-authored-by: FlorianJoncour <florian@zetta-sys.com>
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FlorianJoncour 2023-11-29 21:25:43 +00:00 committed by GitHub
parent a7b3e33078
commit 0229c386c5
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2 changed files with 5 additions and 5 deletions
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6
vllm/engine/llm_engine.py
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@ -7,7 +7,7 @@ from vllm.config import (CacheConfig, ModelConfig, ParallelConfig,
SchedulerConfig) SchedulerConfig)
from vllm.core.scheduler import Scheduler, SchedulerOutputs from vllm.core.scheduler import Scheduler, SchedulerOutputs
from vllm.engine.arg_utils import EngineArgs from vllm.engine.arg_utils import EngineArgs
from vllm.engine.ray_utils import RayWorker, initialize_cluster, ray from vllm.engine.ray_utils import RayWorkerVllm, initialize_cluster, ray
from vllm.logger import init_logger from vllm.logger import init_logger
from vllm.outputs import RequestOutput from vllm.outputs import RequestOutput
from vllm.sampling_params import SamplingParams from vllm.sampling_params import SamplingParams
@ -162,12 +162,12 @@ class LLMEngine:
continue continue
worker = ray.remote( worker = ray.remote(
num_cpus=0, num_cpus=0,
num_gpus=1, num_gpus=self.cache_config.gpu_memory_utilization,
scheduling_strategy=PlacementGroupSchedulingStrategy( scheduling_strategy=PlacementGroupSchedulingStrategy(
placement_group=placement_group, placement_group=placement_group,
placement_group_capture_child_tasks=True), placement_group_capture_child_tasks=True),
**ray_remote_kwargs, **ray_remote_kwargs,
)(RayWorker).remote(self.model_config.trust_remote_code) )(RayWorkerVllm).remote(self.model_config.trust_remote_code)
self.workers.append(worker) self.workers.append(worker)
# Initialize torch distributed process group for the workers. # Initialize torch distributed process group for the workers.

4
vllm/engine/ray_utils.py
View File

@ -10,7 +10,7 @@ try:
import ray import ray
from ray.air.util.torch_dist import TorchDistributedWorker from ray.air.util.torch_dist import TorchDistributedWorker
class RayWorker(TorchDistributedWorker): class RayWorkerVllm(TorchDistributedWorker):
"""Ray wrapper for vllm.worker.Worker, allowing Worker to be """Ray wrapper for vllm.worker.Worker, allowing Worker to be
lazliy initialized after Ray sets CUDA_VISIBLE_DEVICES.""" lazliy initialized after Ray sets CUDA_VISIBLE_DEVICES."""
@ -36,7 +36,7 @@ except ImportError as e:
"`pip install ray pandas pyarrow`.") "`pip install ray pandas pyarrow`.")
ray = None ray = None
TorchDistributedWorker = None TorchDistributedWorker = None
RayWorker = None RayWorkerVllm = None
if TYPE_CHECKING: if TYPE_CHECKING:
from ray.util.placement_group import PlacementGroup from ray.util.placement_group import PlacementGroup