Fix potential bugs in FastAPI frontend and add comments (vllm-project#28)

Author: zhuohan123

cacheflow/http_frontend/fastapi_frontend.py

@@ -17,8 +17,10 @@
 from cacheflow.worker.controller import DeviceID
 from cacheflow.utils import Counter, get_gpu_memory, get_cpu_memory
 
+TIMEOUT_TO_PREVENT_DEADLOCK = 1 # seconds
 app = FastAPI()
 
+
 class FastAPIFrontend:
     def __init__(
         self,
@@ -30,7 +32,7 @@ def __init__(
         dtype: str,
         seed: int,
         swap_space: int,
-        max_batch_size: int,
+        max_num_batched_tokens: int,
         num_nodes: int,
         num_devices_per_node: int,
         distributed_init_method: str,
@@ -51,7 +53,7 @@ def __init__(
             dtype=dtype,
             seed=seed,
             swap_space=swap_space,
-            max_batch_size=max_batch_size,
+            max_num_batched_tokens=max_num_batched_tokens,
             num_nodes=num_nodes,
             num_devices_per_node=num_devices_per_node,
             distributed_init_method=distributed_init_method,
@@ -68,12 +70,14 @@ async def server_step(self):
         self.is_server_running = True
         updated_seq_groups = await self.server.step.remote()
         self.is_server_running = False
+        # Notify the waiting coroutines that there new outputs ready.
         for seq_group in updated_seq_groups:
             group_id = seq_group.group_id
             self.running_seq_groups[group_id] = seq_group
             self.sequence_group_events[group_id].set()
 
     async def generate(self, request_dict: Dict):
+        # Preprocess the request.
         prompt = request_dict["prompt"]
         sampling_params = SamplingParams.from_dict(request_dict)
         sampling_params.stop_token_ids.add(self.tokenizer.eos_token_id)
@@ -87,15 +91,27 @@ async def generate(self, request_dict: Dict):
         arrival_time = time.time()
         group_id = next(self.seq_group_counter)
         seq_group = SequenceGroup(group_id, seqs, arrival_time)
+        # Create an event to notify us that there is new output from the
+        # cacheflow server.
         group_event = asyncio.Event()
+        self.running_seq_groups[group_id] = seq_group
         self.sequence_group_events[group_id] = group_event
+        # Add the request into the cacheflow server's waiting queue.
         await self.server.add_sequence_groups.remote([(seq_group, sampling_params)])
+        # The cacheflow server does not have a background loop that keeps
+        # processing incoming requests. Therefore, we need to keep kicking
+        # the server to process the requests.
         while True:
+            # Kick the server if the server is not running.
             if not self.is_server_running:
                 await self.server_step()
-            # Wait for new output. Add a 1s timeout to prevent dead lock.
-            await asyncio.wait_for(group_event.wait(), timeout=1)
+            # Wait for new output. The group_event will be set in server_step
+            # when there is new output available for the sequence group.
+            # Added a timeout to prevent deadlock.
+            await asyncio.wait_for(group_event.wait(), timeout=TIMEOUT_TO_PREVENT_DEADLOCK)
+            # Reset the event to wait for the next output.
             group_event.clear()
+            # Decode and return new outputs
             seq_group = self.running_seq_groups[group_id]
             all_outputs = []
             for seq in seq_group.seqs:
@@ -107,7 +123,16 @@ async def generate(self, request_dict: Dict):
                 "error": 0,
             }
             yield (json.dumps(ret) + "\0").encode("utf-8")
+
+            # Once finished, release the resources of the sequence group.
             if seq_group.is_finished():
+                del self.running_seq_groups[group_id]
+                del self.sequence_group_events[group_id]
+                # Kick the server if the server is not running. This is to
+                # prevent that there are still requests in server's waiting
+                # queue to be executed.
+                if not self.is_server_running:
+                    await self.server_step()
                 break
 
 
@@ -143,7 +168,7 @@ async def generate_stream(request: Request):
         dtype=args.dtype,
         seed=args.seed,
         swap_space=args.swap_space,
-        max_batch_size=args.max_batch_size,
+        max_num_batched_tokens=args.max_num_batched_tokens,
         num_nodes=num_nodes,
         num_devices_per_node=num_devices_per_node,
         distributed_init_method=distributed_init_method,