[API] add get memory pool size (#1760)

Co-authored-by: Byron Hsu <byronhsu1230@gmail.com>

python/sglang/srt/managers/detokenizer_manager.py

@@ -27,6 +27,7 @@ from sglang.srt.managers.io_struct import (
     BatchEmbeddingOut,
     BatchStrOut,
     BatchTokenIDOut,
+    GetMemPoolSizeReqOutput,
     UpdateWeightReqOutput,
 )
 from sglang.srt.managers.schedule_batch import FINISH_MATCHED_STR, FINISH_MATCHED_TOKEN
@@ -111,6 +112,9 @@ class DetokenizerManager:
                 # If it is a weight update request, no detokenization is needed.
                 self.send_to_tokenizer.send_pyobj(recv_obj)
                 continue
+            elif isinstance(recv_obj, GetMemPoolSizeReqOutput):
+                self.send_to_tokenizer.send_pyobj(recv_obj)
+                continue
             elif self.tokenizer is None:
                 # If the tokenizer is skipped, no detokenization is needed
                 self.send_to_tokenizer.send_pyobj(recv_obj)

python/sglang/srt/managers/io_struct.py

@@ -353,3 +353,13 @@ class AbortReq:
 class ProfileReq(Enum):
     START_PROFILE = 1
     STOP_PROFILE = 2
+
+
+@dataclass
+class GetMemPoolSizeReq:
+    pass
+
+
+@dataclass
+class GetMemPoolSizeReqOutput:
+    size: int

python/sglang/srt/managers/scheduler.py

@@ -38,6 +38,8 @@ from sglang.srt.managers.io_struct import (
     BatchEmbeddingOut,
     BatchTokenIDOut,
     FlushCacheReq,
+    GetMemPoolSizeReq,
+    GetMemPoolSizeReqOutput,
     ProfileReq,
     TokenizedEmbeddingReqInput,
     TokenizedGenerateReqInput,
@@ -363,6 +365,10 @@ class Scheduler:
                     self.start_profile()
                 else:
                     self.stop_profile()
+            elif isinstance(recv_req, GetMemPoolSizeReq):
+                self.send_to_detokenizer.send_pyobj(
+                    GetMemPoolSizeReqOutput(self.max_total_num_tokens)
+                )
             else:
                 raise ValueError(f"Invalid request: {recv_req}")
 

python/sglang/srt/managers/tokenizer_manager.py

@@ -46,6 +46,8 @@ from sglang.srt.managers.io_struct import (
     EmbeddingReqInput,
     FlushCacheReq,
     GenerateReqInput,
+    GetMemPoolSizeReq,
+    GetMemPoolSizeReqOutput,
     ProfileReq,
     RewardReqInput,
     TokenizedEmbeddingReqInput,
@@ -531,6 +533,15 @@ class TokenizerManager:
         req = ProfileReq.STOP_PROFILE
         self.send_to_scheduler.send_pyobj(req)
 
+    async def get_memory_pool_size(self):
+        if self.to_create_loop:
+            self.create_handle_loop()
+
+        req = GetMemPoolSizeReq()
+        self.send_to_scheduler.send_pyobj(req)
+        self.mem_pool_size = asyncio.Future()
+        return await self.mem_pool_size
+
     async def update_weights(
         self, obj: UpdateWeightReqInput, request: Optional[fastapi.Request] = None
     ):
@@ -590,6 +601,9 @@ class TokenizerManager:
             if isinstance(recv_obj, UpdateWeightReqOutput):
                 self.model_update_result.set_result(recv_obj)
                 continue
+            elif isinstance(recv_obj, GetMemPoolSizeReqOutput):
+                self.mem_pool_size.set_result(recv_obj)
+                continue
 
             assert isinstance(
                 recv_obj, (BatchStrOut, BatchEmbeddingOut, BatchTokenIDOut)

python/sglang/srt/server.py

@@ -172,6 +172,18 @@ async def stop_profile():
     )
 
 
+@app.api_route("/get_memory_pool_size", methods=["GET", "POST"])
+async def get_memory_pool_size():
+    """Get the memory pool size in number of tokens"""
+    try:
+        ret = await tokenizer_manager.get_memory_pool_size()
+        return ret.size
+    except Exception as e:
+        return JSONResponse(
+            {"error": {"message": str(e)}}, status_code=HTTPStatus.BAD_REQUEST
+        )
+
+
 @app.post("/update_weights")
 async def update_weights(obj: UpdateWeightReqInput, request: Request):
     """Update the weights inplace without re-launching the server."""