Optimize schedule (#1339)

python/sglang/srt/managers/policy_scheduler.py

@@ -108,18 +108,24 @@ class PrefillAdder:
     def __init__(
         self,
         tree_cache: BasePrefixCache,
+        running_batch: ScheduleBatch,
+        new_token_ratio: float,
         rem_total_tokens: int,
         rem_input_tokens: int,
         rem_chunk_tokens: Optional[int],
         mixed_with_decode_tokens: int = 0,
     ):
         self.tree_cache = tree_cache
+        self.running_batch = running_batch
+        self.new_token_ratio = new_token_ratio
         self.rem_total_tokens = rem_total_tokens - mixed_with_decode_tokens
+        self.total_tokens = rem_total_tokens
         self.rem_input_tokens = rem_input_tokens - mixed_with_decode_tokens
         self.rem_chunk_tokens = rem_chunk_tokens
         if self.rem_chunk_tokens is not None:
             self.rem_chunk_tokens -= mixed_with_decode_tokens
 
+        self.req_states = None
         self.can_run_list = []
         self.new_inflight_req = None
         self.log_hit_tokens = 0
@@ -136,16 +142,14 @@ class PrefillAdder:
             )
         )
 
-    def remove_running_tokens(
+    def remove_running_tokens(self, running_batch: ScheduleBatch):
-        self, running_batch: ScheduleBatch, new_token_ratio: float
-    ):
         self.rem_total_tokens -= sum(
             [
                 min(
                     (r.sampling_params.max_new_tokens - len(r.output_ids)),
                     CLIP_MAX_NEW_TOKENS,
                 )
-                * new_token_ratio
+                * self.new_token_ratio
                 for r in running_batch.reqs
             ]
         )
@@ -161,7 +165,29 @@ class PrefillAdder:
         self.log_hit_tokens += prefix_len
         self.log_input_tokens += extend_input_len
 
+    def add_inflight_req_ignore_eos(self, req: Req):
+        truncated = req.extend_input_len > self.rem_chunk_tokens
+        req.extend_input_len = min(req.extend_input_len, self.rem_chunk_tokens)
+        req.fill_ids = req.fill_ids[: len(req.prefix_indices) + req.extend_input_len]
+        self.can_run_list.append(req)
+
+        self._prefill_one_req(
+            0,
+            req.extend_input_len,
+            (
+                min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS)
+                if not truncated
+                else 0
+            ),
+        )
+
+        # Return if chunked prefill not finished
+        return req if truncated else None
+
     def add_inflight_req(self, req: Req):
+        if req.sampling_params.ignore_eos:
+            return self.add_inflight_req_ignore_eos(req)
+
         truncated = req.extend_input_len > self.rem_chunk_tokens
         req.extend_input_len = min(req.extend_input_len, self.rem_chunk_tokens)
         req.fill_ids = req.fill_ids[: len(req.prefix_indices) + req.extend_input_len]
@@ -190,7 +216,81 @@ class PrefillAdder:
             delta = self.tree_cache.dec_lock_ref(last_node)
             self.rem_total_tokens += delta
 
+    def add_one_req_ignore_eos(self, req: Req):
+        def get_req_state(r):
+            new_token_ratio = (
+                1.0 if r.sampling_params.ignore_eos else self.new_token_ratio
+            )
+            tokens_left = r.sampling_params.max_new_tokens * new_token_ratio - len(
+                r.output_ids
+            )
+            tokens_occupied = len(r.origin_input_ids) + len(r.output_ids)
+
+            if tokens_left > 0:
+                return (tokens_left, tokens_occupied)
+
+            return None
+
+        if self.req_states is None:
+            self.req_states = []
+            if self.running_batch is not None:
+                for r in self.running_batch.reqs:
+                    state = get_req_state(r)
+                    if state is not None:
+                        self.req_states.append(state)
+            for r in self.can_run_list:
+                state = get_req_state(r)
+                if state is not None:
+                    self.req_states.append(state)
+            state = get_req_state(req)
+            if state is not None:
+                self.req_states.append(state)
+
+            self.req_states.sort(key=lambda x: x[0])
+        else:
+            state = get_req_state(req)
+            if state is not None:
+                for i, (tokens_left, tokens_occupied) in enumerate(self.req_states):
+                    if tokens_left >= state[0]:
+                        self.req_states.insert(i, state)
+                        break
+                else:
+                    self.req_states.append(state)
+
+        tokens_freed = 0
+        for i, (tokens_left, tokens_occupied) in enumerate(self.req_states):
+            decode_steps = (
+                self.req_states[i + 1][0]
+                if i + 1 < len(self.req_states)
+                else tokens_left
+            )
+            bs = len(self.req_states) - i
+            if self.total_tokens + tokens_freed - decode_steps * bs <= 0:
+                return False
+            tokens_freed += tokens_occupied
+
+        if req.extend_input_len <= self.rem_chunk_tokens:
+            self.can_run_list.append(req)
+            self._prefill_one_req(
+                0,
+                req.extend_input_len,
+                min(req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS),
+            )
+        else:
+            # Chunked prefill
+            trunc_len = self.rem_chunk_tokens
+            req.extend_input_len = trunc_len
+            req.fill_ids = req.fill_ids[:trunc_len]
+            self.can_run_list.append(req)
+            self.new_inflight_req = req
+            self._prefill_one_req(0, trunc_len, 0)
+
+        return True
+
     def add_one_req(self, req: Req):
+        if req.sampling_params.ignore_eos and self.tree_cache.disable:
+            return self.add_one_req_ignore_eos(req)
+
         total_tokens = req.extend_input_len + min(
             req.sampling_params.max_new_tokens, CLIP_MAX_NEW_TOKENS
         )
@@ -233,4 +333,4 @@ class PrefillAdder:
                 self.tree_cache.inc_lock_ref(req.last_node)
                 self._prefill_one_req(prefix_len, trunc_len, 0)
 
-        return True
+        return True and not self.no_remaining_tokens()

python/sglang/srt/managers/tp_worker.py

@@ -221,6 +221,7 @@ class ModelTpServer:
         )
         self.new_token_ratio = self.min_new_token_ratio
         self.new_token_ratio_decay = global_config.new_token_ratio_decay
+        self.do_not_get_new_batch = False
 
     def exposed_step(self, recv_reqs: List):
         try:
@@ -253,7 +254,13 @@ class ModelTpServer:
 
     @torch.inference_mode()
     def forward_step(self):
-        new_batch = self.get_new_prefill_batch()
+        if self.current_inflight_req is not None:
+            self.do_not_get_new_batch = False
+
+        new_batch = (
+            self.get_new_prefill_batch() if not self.do_not_get_new_batch else None
+        )
+        self.do_not_get_new_batch = False
 
         if new_batch is not None:
             # Run a new prefill batch
@@ -409,6 +416,8 @@ class ModelTpServer:
 
         adder = PrefillAdder(
             self.tree_cache,
+            self.running_batch,
+            self.new_token_ratio,
             self.token_to_kv_pool.available_size() + self.tree_cache.evictable_size(),
             self.max_prefill_tokens,
             self.chunked_prefill_size,
@@ -416,7 +425,7 @@ class ModelTpServer:
         )
 
         if self.running_batch is not None:
-            adder.remove_running_tokens(self.running_batch, self.new_token_ratio)
+            adder.remove_running_tokens(self.running_batch)
 
         has_inflight = self.current_inflight_req is not None
         if self.current_inflight_req is not None:
@@ -428,11 +437,12 @@ class ModelTpServer:
             )
 
         for req in self.waiting_queue:
+            if adder.no_remaining_tokens():
+                break
             req.init_next_round_input(None if prefix_computed else self.tree_cache)
             res = adder.add_one_req(req)
             if (
                 not res
-                or adder.no_remaining_tokens()
                 or running_bs + len(adder.can_run_list) >= self.max_running_requests
             ):
                 break
@@ -700,6 +710,7 @@ class ModelTpServer:
         next_token_ids = next_token_ids.tolist()
 
         # Check finish condition
+        has_finished = False
         for i, (req, next_token_id) in enumerate(zip(batch.reqs, next_token_ids)):
             req.completion_tokens_wo_jump_forward += 1
             req.output_ids.append(next_token_id)
@@ -712,6 +723,7 @@ class ModelTpServer:
 
             if req.finished():
                 self.tree_cache.cache_finished_req(req)
+                has_finished = True
 
             if req.return_logprob:
                 req.output_token_logprobs.append(
@@ -720,6 +732,9 @@ class ModelTpServer:
                 if req.top_logprobs_num > 0:
                     req.output_top_logprobs.append(logits_output.output_top_logprobs[i])
 
+        if not has_finished:
+            self.do_not_get_new_batch = True
+
         self.handle_finished_requests(batch)
 
     def handle_finished_requests(self, batch: ScheduleBatch):