[BUGFIX] Do not return ignored sentences twice in async llm engine (#2258)

vllm/engine/async_llm_engine.py

@@ -183,20 +183,18 @@ class _AsyncLLMEngine(LLMEngine):
         and updates the scheduler with the model outputs. Finally, it decodes
         the sequences and returns the newly generated results.
         """
-        seq_group_metadata_list, scheduler_outputs, ignored = self._schedule()
-        if scheduler_outputs.is_empty():
-            return ignored
+        seq_group_metadata_list, scheduler_outputs = self.scheduler.schedule()
 
         # Execute the model.
-        output = await self._run_workers_async(
+        output = (await self._run_workers_async(
             "execute_model",
             seq_group_metadata_list=seq_group_metadata_list,
             blocks_to_swap_in=scheduler_outputs.blocks_to_swap_in,
             blocks_to_swap_out=scheduler_outputs.blocks_to_swap_out,
             blocks_to_copy=scheduler_outputs.blocks_to_copy,
-        )
+        )) if not scheduler_outputs.is_empty() else []
 
-        return self._process_model_outputs(output, scheduler_outputs) + ignored
+        return self._process_model_outputs(output, scheduler_outputs)
 
     async def _run_workers_async(
         self,

vllm/engine/llm_engine.py

@@ -14,8 +14,7 @@ from vllm.logger import init_logger
 from vllm.outputs import RequestOutput
 from vllm.sampling_params import SamplingParams
 from vllm.sequence import (SamplerOutput, Sequence, SequenceGroup,
-                           SequenceGroupMetadata, SequenceGroupOutput,
-                           SequenceOutput, SequenceStatus)
+                           SequenceGroupOutput, SequenceOutput, SequenceStatus)
 from vllm.transformers_utils.tokenizer import (detokenize_incrementally,
                                                get_tokenizer)
 from vllm.utils import Counter
@@ -328,16 +327,6 @@ class LLMEngine:
         """Returns True if there are unfinished requests."""
         return self.scheduler.has_unfinished_seqs()
 
-    def _schedule(
-        self
-    ) -> Tuple[List[SequenceGroupMetadata], SchedulerOutputs,
-               List[RequestOutput]]:
-        seq_group_metadata_list, scheduler_outputs = self.scheduler.schedule()
-        return seq_group_metadata_list, scheduler_outputs, [
-            RequestOutput.from_seq_group(seq_group)
-            for seq_group in scheduler_outputs.ignored_seq_groups
-        ]
-
     def _check_beam_search_early_stopping(
         self,
         early_stopping: Union[bool, str],
@@ -586,9 +575,7 @@ class LLMEngine:
         and updates the scheduler with the model outputs. Finally, it decodes
         the sequences and returns the newly generated results.
         """
-        seq_group_metadata_list, scheduler_outputs, ignored = self._schedule()
-        if scheduler_outputs.is_empty():
-            return ignored
+        seq_group_metadata_list, scheduler_outputs = self.scheduler.schedule()
 
         # Execute the model.
         output = self._run_workers(
@@ -597,7 +584,7 @@ class LLMEngine:
             blocks_to_swap_in=scheduler_outputs.blocks_to_swap_in,
             blocks_to_swap_out=scheduler_outputs.blocks_to_swap_out,
             blocks_to_copy=scheduler_outputs.blocks_to_copy,
-        )
+        ) if not scheduler_outputs.is_empty() else []
 
         return self._process_model_outputs(output, scheduler_outputs)