[v0.18.0][BugFix][KV Pool]Fix the conflict between pooling scenarios … (#8101)

…and PCP across machines

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Signed-off-by: DreamLeader <2270923832@qq.com>

vllm_ascend/distributed/kv_transfer/kv_pool/ascend_store/backend/memcache_backend.py

@@ -3,6 +3,7 @@ from enum import Enum
 
 import torch
 from vllm.config import ParallelConfig
+from vllm.distributed.parallel_state import get_world_group
 from vllm.logger import logger
 
 from vllm_ascend.distributed.kv_transfer.kv_pool.ascend_store.backend.backend import Backend
@@ -29,21 +30,13 @@ class MemcacheBackend(Backend):
         try:
             soc_version = get_ascend_device_type()
             if soc_version in {AscendDeviceType.A2}:
-                import torch
-                from vllm.distributed import get_world_group
-
                 tmp_tensor = torch.zeros(1, device="npu")
                 output_tensor_list = [torch.empty_like(tmp_tensor) for _ in range(torch.distributed.get_world_size())]
                 torch.distributed.all_gather(output_tensor_list, tmp_tensor, group=get_world_group().device_group)
-                self.rank = parallel_config.rank
+            self.local_rank = get_world_group().local_rank
-                self.store = DistributedObjectStore()
+            self.store = DistributedObjectStore()
-                res = self.store.init(self.rank)
+            res = self.store.init(self.local_rank)
-                assert res == 0
+            assert res == 0
-            else:
-                self.rank = parallel_config.rank
-                self.store = DistributedObjectStore()
-                res = self.store.init(self.rank)
-                assert res == 0
         except ValueError as e:
             logger.error("Configuration loading failed: %s", e)
             raise
@@ -52,7 +45,7 @@ class MemcacheBackend(Backend):
             raise
 
     def set_device(self):
-        device = torch.device(f"npu:{self.rank}")
+        device = torch.device(f"npu:{self.local_rank}")
         torch.npu.set_device(device)
 
     def register_buffer(self, ptrs: list[int], sizes: list[int]):

vllm_ascend/distributed/kv_transfer/kv_pool/ascend_store/backend/mooncake_backend.py

@@ -8,6 +8,7 @@ import torch
 
 # Third Party
 from vllm.config import ParallelConfig
+from vllm.distributed.parallel_state import get_world_group
 from vllm.logger import logger
 from vllm.utils.network_utils import get_ip
 
@@ -30,7 +31,6 @@ class MooncakeBackend(Backend):
             ) from e
         self.config = MooncakeStoreConfig.load_from_env()
         self.store = MooncakeDistributedStore()
-        self.rank = parallel_config.rank
         if self.config.protocol == "ascend":
             local_hostname = get_ip()
             # ASCEND_ENABLE_USE_FABRIC_MEM: Enable unified memory address direct transmission scheme
@@ -67,7 +67,8 @@ class MooncakeBackend(Backend):
             raise RuntimeError(msg)
 
     def set_device(self):
-        device = torch.device(f"npu:{self.rank}")
+        local_rank = get_world_group().local_rank
+        device = torch.device(f"npu:{local_rank}")
         torch.npu.set_device(device)
 
     def register_buffer(self, ptrs: list[int], lengths: list[int]):