[BugFix] Fix request output loss during putting back to the api server

Makefile

@@ -25,7 +25,7 @@ lint: check_pylint_installed
 
 .PHONY: test
 test: check_pytest_installed
-	@pytest -q -x --ignore=third_party/ --disable-warnings
+	@pytest -x --ignore=third_party/ --disable-warnings
 
 #################### pygloo install for gloo migration backend begin ####################
 

llumnix/backends/vllm/llm_engine.py

@@ -111,6 +111,8 @@ def _process_model_outputs(
                 scheduled_seq_groups = new_scheduled_seq_groups
                 output[0].outputs = new_output
                 seq_group_metadata_list = new_seq_group_metadata_list
+            for ignored_seq_group in ignored_seq_groups:
+                server_info_list.append(ignored_seq_group.server_info)
             request_outputs = super()._process_model_outputs(output, scheduled_seq_groups, ignored_seq_groups, seq_group_metadata_list)
             # TODO(ZeldaHuang) Use LlumnixRequestOutput to store llumnix output args.
             return request_outputs, server_info_list
@@ -149,7 +151,8 @@ def add_request(self, request_id: str, server_info: ServerInfo, *args, **kwargs)
         super().add_request(request_id, *args, **kwargs)
         seq_group = self.scheduler.waiting[-1]
         self.scheduler.waiting[-1] = SequenceGroupLlumnix(request_id, server_info, [seq_group.get_seqs()[0]], seq_group.sampling_params,
-                                  seq_group.metrics.arrival_time, seq_group.lora_request, seq_group.multi_modal_data)
+                                        seq_group.metrics.arrival_time, seq_group.lora_request, seq_group.multi_modal_data)
+        self.scheduler.scheduler_lock.release()
 
     def _put_request_output_to_server(self, request_outputs, server_infos: List[ServerInfo]) -> None:
         server_request_outputs = defaultdict(list)

llumnix/backends/vllm/scheduler.py

@@ -195,7 +195,7 @@ def _get_instance_info(self) -> InstanceInfo:
             instance_info.inference_type = self.running[-1].inference_type
         # TODO(ZeldaHuang) adapt chunked-prefill
         instance_info.num_batched_tokens = sum([seq_group.request_len for seq_group in self.running])\
-                                         if instance_info.inference_type == RequestInferenceType.PREFILL else len(instance_info.running_seq_lens)
+                                            if instance_info.inference_type == RequestInferenceType.PREFILL else len(instance_info.running_seq_lens)
         instance_info.finished_request_ids = [seq_group.request_id for seq_group in self.running if seq_group.is_finished()]
         return instance_info
 
@@ -205,8 +205,10 @@ def schedule(self) -> Tuple[List[SequenceGroupMetadata], SchedulerOutputs]:
         self.update_instance_info_callback(self._get_instance_info())
         return seq_group_metadata_list, scheduler_outputs
 
-    @scheduler_lock
     def add_seq_group(self, *args, **kwargs):
+        # The scheduler lock is mannually released in the end of LLMEngineLlumnix.add_request function.
+        # pylint: disable=R1732
+        self.scheduler_lock.acquire()
         return super().add_seq_group(*args, **kwargs)
 
     @scheduler_lock

llumnix/backends/vllm/sequence.py

@@ -15,6 +15,7 @@
 
 from llumnix.llumlet.request import LlumnixRequest, RequestInferenceType
 
+
 class SequenceGroupLlumnix(SequenceGroup, LlumnixRequest):
     def __init__(self, request_id, server_info, *args, **kwargs) -> None:
         SequenceGroup.__init__(self, request_id, *args, **kwargs)

tests/backends/vllm/test_llm_engine.py

@@ -97,7 +97,8 @@ def test_llm_engine_add_requset():
     engine_args = EngineArgs(model="facebook/opt-125m", worker_use_ray=True)
     llm_engine = LLMEngineLlumnix.from_engine_args(engine_args, instance_id="0", migration_config=None, latency_mem=MagicMock(sepc=LatencyMemData))
     sampling_params = SamplingParams(top_k=1, temperature=0, ignore_eos=True, max_tokens=100)
-    llm_engine.add_request("0", None,"prompt", sampling_params)
+    llm_engine.scheduler.scheduler_lock = MagicMock()
+    llm_engine.add_request("0", None, "prompt", sampling_params)
     assert len(llm_engine.scheduler.waiting) == 1
     assert llm_engine.scheduler.waiting[-1].request_id == "0"
     assert isinstance(llm_engine.scheduler.waiting[-1], LlumnixRequest)

tests/backends/vllm/utils.py

@@ -23,18 +23,26 @@
 from llumnix.backends.vllm.scheduler import SchedulerLlumnix
 from llumnix.backends.vllm.sequence import SequenceGroupLlumnix
 
+
+class SchedulerLlumnixTest(SchedulerLlumnix):
+    def add_seq_group(self, *args, **kwargs):
+        ret = super().add_seq_group(*args, **kwargs)
+        self.scheduler_lock.release()
+        return ret
+
+
 def initialize_scheduler(*,
                          max_num_seqs=1000,
                          max_token_budget=1000,
                          max_model_len=1000,
-                         lora_config=None) -> SchedulerLlumnix:
+                         lora_config=None) -> SchedulerLlumnixTest:
     block_size = 4
     scheduler_config = SchedulerConfig(max_token_budget, max_num_seqs,
                                        max_model_len)
     cache_config = CacheConfig(block_size, 1.0, 1, "auto")
     cache_config.num_cpu_blocks = 8
     cache_config.num_gpu_blocks = 8
-    scheduler = SchedulerLlumnix(scheduler_config, cache_config, lora_config)
+    scheduler = SchedulerLlumnixTest(scheduler_config, cache_config, lora_config)
     scheduler.update_instance_info_callback = MagicMock()
     return scheduler