[PD] Support decode overlap schedule

python/sglang/srt/disaggregation/decode.py

@@ -21,6 +21,7 @@
 from __future__ import annotations
 
 import logging
+from collections import deque
 from dataclasses import dataclass
 from typing import TYPE_CHECKING, List, Optional, Tuple
 
@@ -475,6 +476,48 @@ def event_loop_normal_disagg_decode(self):
 
             self.last_batch = batch
 
+    @torch.no_grad()
+    def event_loop_overlap_disagg_decode(self):
+        result_queue = deque()
+        self.last_batch: Optional[ScheduleBatch] = None
+        self.last_batch_is_extend = False  # last batch is modifed in-place, so we need another variable to track if it's extend
+
+        while True:
+            recv_reqs = self.recv_requests()
+            self.process_input_requests(recv_reqs)
+            # polling and allocating kv cache
+            self.process_decode_queue()
+            batch = self.get_next_disagg_decode_batch_to_run()
+            self.cur_batch = batch
+            last_batch_is_extend = False
+
+            if batch:
+                # Generate fake extend output.
+                if batch.forward_mode.is_extend():
+                    # Note: Logprobs should be handled on the prefill engine.
+                    self.stream_output(batch.reqs, False)
+                    last_batch_is_extend = True
+                else:
+                    result = self.run_batch(batch)
+                    result_queue.append((batch.copy(), result))
+
+            # Process the results of the previous batch but skip if the last batch is extend
+            if self.last_batch and not self.last_batch_is_extend:
+                tmp_batch, tmp_result = result_queue.popleft()
+                self.process_batch_result(tmp_batch, tmp_result)
+
+            if batch is None and (
+                len(self.disagg_decode_transfer_queue.queue)
+                + len(self.disagg_decode_prealloc_queue.queue)
+                == 0
+            ):
+                # When the server is idle, do self-check and re-init some states
+                self.check_memory()
+                self.new_token_ratio = self.init_new_token_ratio
+
+            self.last_batch = batch
+            self.last_batch_is_extend = last_batch_is_extend
+
     def get_next_disagg_decode_batch_to_run(
         self: Scheduler,
     ) -> Optional[Tuple[ScheduleBatch, bool]]:

python/sglang/srt/managers/scheduler.py

@@ -2016,7 +2016,10 @@ def run_scheduler_process(
         elif disaggregation_mode == DisaggregationMode.PREFILL:
             scheduler.event_loop_normal_disagg_prefill()
         elif disaggregation_mode == DisaggregationMode.DECODE:
-            scheduler.event_loop_normal_disagg_decode()
+            if scheduler.enable_overlap:
+                scheduler.event_loop_overlap_disagg_decode()
+            else:
+                scheduler.event_loop_normal_disagg_decode()
 
     except Exception:
         traceback = get_exception_traceback()

python/sglang/srt/server_args.py

@@ -387,14 +387,12 @@ def __post_init__(self):
         # PD disaggregation
         if self.disaggregation_mode == "prefill":
             self.disable_cuda_graph = True
-            logger.warning("KV cache is forced as chunk cache for decode server")
+            logger.warning("Cuda graph is disabled for prefill server")
             self.disable_overlap_schedule = True
             logger.warning("Overlap scheduler is disabled for prefill server")
         elif self.disaggregation_mode == "decode":
             self.disable_radix_cache = True
-            logger.warning("Cuda graph is disabled for prefill server")
-            self.disable_overlap_schedule = True
-            logger.warning("Overlap scheduler is disabled for decode server")
+            logger.warning("KV cache is forced as chunk cache for decode server")
 
         os.environ["SGLANG_ENABLE_TORCH_COMPILE"] = (
             "1" if self.enable_torch_compile else "0"