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[Fix] Avoid pickling entire LLMEngine for Ray workers #3207

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merged 4 commits into from
Mar 6, 2024
Merged

[Fix] Avoid pickling entire LLMEngine for Ray workers #3207

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96a0707
[Fix] Avoid pickling entire LLMEngine for Ray workers
njhill Mar 5, 2024
0893465
Add __reduce__ method to LLMEngine per @simon-mo's suggestion
njhill Mar 5, 2024
ee9644f
Update vllm/engine/llm_engine.py
Yard1 Mar 5, 2024
3085f15
Update vllm/engine/llm_engine.py
Yard1 Mar 5, 2024
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16 changes: 9 additions & 7 deletions vllm/engine/llm_engine.py
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Original file line number Diff line number Diff line change
Expand Up @@ -280,6 +280,8 @@ def _init_workers_ray(self, placement_group: "PlacementGroup",
parallel_config = copy.deepcopy(self.parallel_config)
scheduler_config = copy.deepcopy(self.scheduler_config)
device_config = copy.deepcopy(self.device_config)
lora_config = copy.deepcopy(self.lora_config)
kv_cache_dtype = self.cache_config.cache_dtype

for rank, (worker, (node_id,
_)) in enumerate(zip(self.workers,
Expand All @@ -295,22 +297,22 @@ def _init_workers_ray(self, placement_group: "PlacementGroup",
local_rank,
rank,
distributed_init_method,
lora_config=self.lora_config,
kv_cache_dtype=self.cache_config.cache_dtype,
lora_config=lora_config,
kv_cache_dtype=kv_cache_dtype,
))

driver_rank = 0
driver_local_rank = node_workers[driver_node_id].index(driver_rank)
self.driver_worker = Worker(
model_config,
parallel_config,
scheduler_config,
device_config,
self.model_config,
self.parallel_config,
self.scheduler_config,
self.device_config,
driver_local_rank,
driver_rank,
distributed_init_method,
lora_config=self.lora_config,
kv_cache_dtype=self.cache_config.cache_dtype,
kv_cache_dtype=kv_cache_dtype,
is_driver_worker=True,
)

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