fix some issues with results

exo/main.py

@@ -186,9 +186,15 @@ api = ChatGPTAPI(
   default_model=args.default_model,
   system_prompt=args.system_prompt
 )
-node.on_token.register("update_topology_viz").on_next(
-  lambda req_id, tokens, __: topology_viz.update_prompt_output(req_id, inference_engine.tokenizer.decode(tokens)) if topology_viz and hasattr(inference_engine, "tokenizer") and inference_engine.shard.model_id != 'stable-diffusion-2-1-base' else None
-)
+buffered_token_output = {}
+def update_topology_viz(req_id, token, __):
+  if not topology_viz: return
+  if req_id in buffered_token_output: buffered_token_output[req_id].append(token)
+  else: buffered_token_output[req_id] = [token]
+
+  if inference_engine.shard.model_id != 'stable-diffusion-2-1-base':
+    topology_viz.update_prompt_output(req_id, inference_engine.tokenizer.decode(buffered_token_output[req_id]))
+node.on_token.register("update_topology_viz").on_next(update_topology_viz)
 
 def preemptively_start_download(request_id: str, opaque_status: str):
   try:

exo/networking/grpc/grpc_server.py

@@ -131,9 +131,9 @@ class GRPCServer(node_service_pb2_grpc.NodeServiceServicer):
     if DEBUG >= 5: print(f"CollectTopology {max_depth=} {visited=} {nodes=} {peer_graph=}")
     return node_service_pb2.Topology(nodes=nodes, peer_graph=peer_graph)
 
-  async def SendNewToken(self, request, context):
+  async def SendResult(self, request, context):
     request_id = request.request_id
-    token = request.token
+    result = request.result
     is_finished = request.is_finished
     img = request.tensor
     if DEBUG >= 5: print(f"Received SendResult request: {request_id=} {result=} {is_finished=}")

exo/orchestration/node.py

@@ -130,9 +130,9 @@ class Node:
         self.buffered_token_output[request_id][0].append(token.item())
         is_finished = token.item() == self.inference_engine.tokenizer.eos_token_id or is_finished or len(self.buffered_token_output[request_id][0]) >= self.max_generate_tokens
         if DEBUG >= 2: print(f"[{request_id}] result size: {result.size}, is finished: {is_finished}, buffered tokens: {len(self.buffered_token_output[request_id][0])}")
-        asyncio.create_task(self.broadcast_result(request_id, *self.buffered_token_output[request_id]))
+        asyncio.create_task(self.broadcast_result(request_id, [self.buffered_token_output[request_id][0][-1]], is_finished))
         forward = token.reshape(1, -1)
-        intermediate_result = self.buffered_token_output[request_id][0]
+        intermediate_result = self.buffered_token_output[request_id][0][-1]
       else:
         forward = result
     else:
@@ -586,17 +586,17 @@ class Node:
     if DEBUG >= 2: print(f"Triggering all on_token callbacks with {request_id=} {token=} {is_finished=}")
     self.on_token.trigger_all(request_id, token, is_finished)
   
-  async def broadcast_new_token(self, request_id: str, token: int, is_finished: bool) -> None:
-    async def send_new_token_to_peer(peer):
+  async def broadcast_result(self, request_id: str, result: List[int], is_finished: bool) -> None:
+    async def send_result_to_peer(peer):
       try:
-        await asyncio.wait_for(peer.send_new_token(request_id, token, is_finished), timeout=15.0)
+        await asyncio.wait_for(peer.send_result(request_id, result, is_finished), timeout=15.0)
       except asyncio.TimeoutError:
-        print(f"Timeout broadcasting new token to {peer.id()}")
+        print(f"Timeout broadcasting result to {peer.id()}")
       except Exception as e:
-        print(f"Error broadcasting new token to {peer.id()}: {e}")
+        print(f"Error broadcasting result to {peer.id()}: {e}")
         traceback.print_exc()
 
-    await asyncio.gather(*[send_new_token_to_peer(peer) for peer in self.peers], return_exceptions=True)
+    await asyncio.gather(*[send_result_to_peer(peer) for peer in self.peers], return_exceptions=True)
 
   async def broadcast_opaque_status(self, request_id: str, status: str) -> None:
     if DEBUG >= 8: print(f"Broadcasting opaque status: {request_id=} {status=}")