[misc] Rename Ray ADAG to Compiled Graph (#13928)

vllm/executor/ray_distributed_executor.py

@@ -491,7 +491,7 @@ class RayDistributedExecutor(DistributedExecutorBase):
         async_run_remote_workers_only to complete."""
         ray.get(parallel_worker_tasks)
 
-    def _check_ray_adag_installation(self):
+    def _check_ray_cgraph_installation(self):
         import pkg_resources
         from packaging import version
 
@@ -503,10 +503,10 @@ class RayDistributedExecutor(DistributedExecutorBase):
                              f"required, but found {current_version}")
 
         import importlib.util
-        adag_spec = importlib.util.find_spec(
+        cgraph_spec = importlib.util.find_spec(
             "ray.experimental.compiled_dag_ref")
-        if adag_spec is None:
-            raise ValueError("Ray accelerated DAG is not installed. "
+        if cgraph_spec is None:
+            raise ValueError("Ray Compiled Graph is not installed. "
                              "Run `pip install ray[adag]` to install it.")
 
         cupy_spec = importlib.util.find_spec("cupy")
@@ -518,7 +518,7 @@ class RayDistributedExecutor(DistributedExecutorBase):
 
     def _compiled_ray_dag(self, enable_asyncio: bool):
         assert self.parallel_config.use_ray
-        self._check_ray_adag_installation()
+        self._check_ray_cgraph_installation()
         from ray.dag import InputNode, MultiOutputNode
         from ray.experimental.channel.torch_tensor_type import TorchTensorType
 

vllm/executor/ray_utils.py

@@ -83,9 +83,9 @@ try:
 
             execute_model_req = self.input_decoder.decode(serialized_req)
 
-            # TODO(swang): This is needed right now because Ray aDAG executes
-            # on a background thread, so we need to reset torch's current
-            # device.
+            # TODO(swang): This is needed right now because Ray Compiled Graph
+            # executes on a background thread, so we need to reset torch's
+            # current device.
             import torch
             if not self.compiled_dag_cuda_device_set:
                 torch.cuda.set_device(self.worker.device)
@@ -119,7 +119,7 @@ try:
                                           "IntermediateTensors"]],
         ) -> Union["ModelRunnerOutput", Tuple["SchedulerOutput",
                                               "IntermediateTensors"]]:
-            # this method is used to compile ray CG,
+            # This method is used by Ray Compiled Graph to execute the model,
             # and it needs a special logic of self.setup_device_if_necessary()
             self.setup_device_if_necessary()
             assert self.worker is not None, "Worker is not initialized"