fix bug for decode len > max model len

vllm/engine/llm_engine.py

@@ -414,12 +414,12 @@ class LLMEngine:
         
         self.zero_overhead = os.environ.get('VLLM_ZERO_OVERHEAD') == '1'
         if self.zero_overhead:
+            assert os.environ.get('HIP_ALLOC_INITIALIZE') == '0'
             self.async_d2h = None
             self.last_record = None
             self.async_event = torch.cuda.Event(enable_timing=False)
             self.zero_thread = threading.Thread(target=self.thread_zero_overhead)
             self.q_recorder = queue.Queue()
-            self.q_recorder.put(None) # None is use for first step ignore
             self.thread_running = True
             self.sem_m2s = threading.Semaphore(0) # main to scheduler thread
             self.zero_thread.start()
@@ -1317,9 +1317,6 @@ class LLMEngine:
                 else:
                     seq.append_token_id(sample.output_token, sample.logprobs)
     
-    def trans_last_output_tensor(self, last_output) -> torch.Tensor:
-        return None
-    
     def finish_thread(self):
         if self.zero_overhead:
             self.thread_running = False
@@ -1348,6 +1345,11 @@ class LLMEngine:
                     self.async_d2h = last_outputs_tensor.to('cpu', non_blocking=True)
                     self.async_event.record()
                     self.q_recorder.put(self.last_record)
+                else:
+                    self.q_recorder.put(None)
+                if len(seq_group_metadata_list) == 0:
+                    self.last_record = None
+                    continue
 
                 finished_requests_ids = self.scheduler[
                     virtual_engine].get_and_reset_finished_requests_ids()