[RL] [V1] Remove unused device argument from reset_kv_cache (#28766)

Signed-off-by: Zhuohan Li <zhuohan123@gmail.com>

vllm/engine/protocol.py

@@ -125,7 +125,7 @@ class EngineClient(ABC):
         ...
 
     @abstractmethod
-    async def reset_prefix_cache(self, device: Device | None = None) -> None:
+    async def reset_prefix_cache(self) -> None:
         """Reset the prefix cache"""
         ...
 

vllm/entrypoints/llm.py

@@ -32,7 +32,6 @@ from vllm.config.model import (
     TokenizerMode,
 )
 from vllm.engine.arg_utils import EngineArgs
-from vllm.engine.protocol import Device
 from vllm.entrypoints.chat_utils import (
     ChatCompletionMessageParam,
     ChatTemplateContentFormatOption,
@@ -1499,8 +1498,8 @@ class LLM:
     def stop_profile(self) -> None:
         self.llm_engine.stop_profile()
 
-    def reset_prefix_cache(self, device: Device | None = None) -> None:
-        self.llm_engine.reset_prefix_cache(device)
+    def reset_prefix_cache(self) -> None:
+        self.llm_engine.reset_prefix_cache()
 
     def sleep(self, level: int = 1):
         """

vllm/entrypoints/openai/api_server.py

@@ -39,7 +39,7 @@ from typing_extensions import assert_never
 import vllm.envs as envs
 from vllm.config import VllmConfig
 from vllm.engine.arg_utils import AsyncEngineArgs
-from vllm.engine.protocol import Device, EngineClient
+from vllm.engine.protocol import EngineClient
 from vllm.entrypoints.anthropic.protocol import (
     AnthropicError,
     AnthropicErrorResponse,
@@ -1069,12 +1069,8 @@ if envs.VLLM_SERVER_DEV_MODE:
         Reset the prefix cache. Note that we currently do not check if the
         prefix cache is successfully reset in the API server.
         """
-        device = None
-        device_str = raw_request.query_params.get("device")
-        if device_str is not None:
-            device = Device[device_str.upper()]
-        logger.info("Resetting prefix cache with specific %s...", str(device))
-        await engine_client(raw_request).reset_prefix_cache(device)
+        logger.info("Resetting prefix cache...")
+        await engine_client(raw_request).reset_prefix_cache()
         return Response(status_code=200)
 
     @router.post("/reset_mm_cache")

vllm/v1/engine/async_llm.py

@@ -14,7 +14,7 @@ import torch
 import vllm.envs as envs
 from vllm.config import VllmConfig
 from vllm.engine.arg_utils import AsyncEngineArgs
-from vllm.engine.protocol import Device, EngineClient
+from vllm.engine.protocol import EngineClient
 from vllm.entrypoints.utils import _validate_truncation_size
 from vllm.inputs import PromptType
 from vllm.logger import init_logger
@@ -672,9 +672,7 @@ class AsyncLLM(EngineClient):
         self.processor.clear_mm_cache()
         await self.engine_core.reset_mm_cache_async()
 
-    async def reset_prefix_cache(self, device: Device | None = None) -> None:
-        if device == Device.CPU:
-            raise ValueError("Not supported on CPU.")
+    async def reset_prefix_cache(self) -> None:
         await self.engine_core.reset_prefix_cache_async()
 
     async def sleep(self, level: int = 1) -> None:

vllm/v1/engine/llm_engine.py

@@ -14,7 +14,6 @@ from vllm.config import ParallelConfig, VllmConfig
 from vllm.distributed import stateless_destroy_torch_distributed_process_group
 from vllm.distributed.parallel_state import get_dp_group
 from vllm.engine.arg_utils import EngineArgs
-from vllm.engine.protocol import Device
 from vllm.inputs import PromptType
 from vllm.logger import init_logger
 from vllm.lora.request import LoRARequest
@@ -321,7 +320,7 @@ class LLMEngine:
         self.processor.clear_mm_cache()
         self.engine_core.reset_mm_cache()
 
-    def reset_prefix_cache(self, device: Device | None = None):
+    def reset_prefix_cache(self):
         self.engine_core.reset_prefix_cache()
 
     def sleep(self, level: int = 1):