[core][compiled graphs] Fix test_torch_tensor_dag_gpu CI failure (ray…

…-project#48204)

## Why are these changes needed?

This PR fixes test_torch_tensor_dag_gpu with the following quick patches:
1. Revert ray-project#47702 , otherwise there is segfault
2. Move TestNcclGroup as an inner class for the tests, otherwise there are the following error:

```
(TorchTensorWorker pid=2261373) No module named 'test_torch_tensor_dag'
(TorchTensorWorker pid=2261373) Traceback (most recent call last):
(TorchTensorWorker pid=2261373)   File "/home/ubuntu/ray/python/ray/_private/serialization.py", line 460, in deserialize_objects
(TorchTensorWorker pid=2261373)     obj = self._deserialize_object(data, metadata, object_ref)
(TorchTensorWorker pid=2261373)   File "/home/ubuntu/ray/python/ray/_private/serialization.py", line 317, in _deserialize_object
(TorchTensorWorker pid=2261373)     return self._deserialize_msgpack_data(data, metadata_fields)
(TorchTensorWorker pid=2261373)   File "/home/ubuntu/ray/python/ray/_private/serialization.py", line 272, in _deserialize_msgpack_data
(TorchTensorWorker pid=2261373)     python_objects = self._deserialize_pickle5_data(pickle5_data)
(TorchTensorWorker pid=2261373)   File "/home/ubuntu/ray/python/ray/_private/serialization.py", line 262, in _deserialize_pickle5_data
(TorchTensorWorker pid=2261373)     obj = pickle.loads(in_band)
(TorchTensorWorker pid=2261373) ModuleNotFoundError: No module named 'test_torch_tensor_dag'
```

python/ray/_private/ray_experimental_perf.py

@@ -181,6 +181,7 @@ async def _exec_async():
     results += timeit(
         "[unstable] compiled single-actor DAG calls", lambda: _exec(compiled_dag)
     )
+    compiled_dag.teardown()
     del a
 
     # Single-actor asyncio DAG calls
@@ -194,6 +195,10 @@ async def _exec_async():
             "[unstable] compiled single-actor asyncio DAG calls",
         )
     )
+    # TODO: Need to explicitly tear down DAGs with enable_asyncio=True because
+    # these DAGs create a background thread that can segfault if the CoreWorker
+    # is torn down first.
+    compiled_dag.teardown()
     del a
 
     # Scatter-gather DAG calls
@@ -211,6 +216,7 @@ async def _exec_async():
         f"[unstable] compiled scatter-gather DAG calls, n={n_cpu} actors",
         lambda: _exec(compiled_dag),
     )
+    compiled_dag.teardown()
 
     # Scatter-gather asyncio DAG calls
 
@@ -223,6 +229,10 @@ async def _exec_async():
             f"[unstable] compiled scatter-gather asyncio DAG calls, n={n_cpu} actors",
         )
     )
+    # TODO: Need to explicitly tear down DAGs with enable_asyncio=True because
+    # these DAGs create a background thread that can segfault if the CoreWorker
+    # is torn down first.
+    compiled_dag.teardown()
 
     # Chain DAG calls
 
@@ -240,6 +250,7 @@ async def _exec_async():
         f"[unstable] compiled chain DAG calls, n={n_cpu} actors",
         lambda: _exec(compiled_dag),
     )
+    compiled_dag.teardown()
 
     # Chain asyncio DAG calls
 
@@ -252,6 +263,10 @@ async def _exec_async():
     results += loop.run_until_complete(
         exec_async(f"[unstable] compiled chain asyncio DAG calls, n={n_cpu} actors")
     )
+    # TODO: Need to explicitly tear down DAGs with enable_asyncio=True because
+    # these DAGs create a background thread that can segfault if the CoreWorker
+    # is torn down first.
+    compiled_dag.teardown()
 
     # Multiple args with small payloads
 
@@ -274,6 +289,7 @@ async def _exec_async():
         f"n={n_actors} actors",
         lambda: _exec(compiled_dag, num_args=n_actors, payload_size=payload_size),
     )
+    compiled_dag.teardown()
 
     # Multiple args with medium payloads
 
@@ -291,6 +307,7 @@ async def _exec_async():
         f"n={n_actors} actors",
         lambda: _exec(compiled_dag, num_args=n_actors, payload_size=payload_size),
     )
+    compiled_dag.teardown()
 
     # Multiple args with large payloads
 
@@ -308,6 +325,7 @@ async def _exec_async():
         f"n={n_actors} actors",
         lambda: _exec(compiled_dag, num_args=n_actors, payload_size=payload_size),
     )
+    compiled_dag.teardown()
 
     # Worst case for multiple arguments: a single actor takes all the arguments
     # with small payloads.
@@ -328,6 +346,7 @@ async def _exec_async():
         "n=1 actors",
         lambda: _exec(compiled_dag, num_args=n_args, payload_size=payload_size),
     )
+    compiled_dag.teardown()
 
     ray.shutdown()
 

python/ray/_private/worker.py

@@ -1874,11 +1874,6 @@ def shutdown(_exiting_interpreter: bool = False):
             and false otherwise. If we are exiting the interpreter, we will
             wait a little while to print any extra error messages.
     """
-    # Make sure to clean up compiled dag node if exists.
-    from ray.dag.compiled_dag_node import _shutdown_all_compiled_dags
-
-    _shutdown_all_compiled_dags()
-
     if _exiting_interpreter and global_worker.mode == SCRIPT_MODE:
         # This is a duration to sleep before shutting down everything in order
         # to make sure that log messages finish printing.

python/ray/dag/compiled_dag_node.py

@@ -1,4 +1,3 @@
-import weakref
 import asyncio
 from collections import defaultdict
 from dataclasses import dataclass, asdict
@@ -9,7 +8,6 @@
 import uuid
 import traceback
 
-import ray.exceptions
 from ray.experimental.channel.cached_channel import CachedChannel
 from ray.experimental.channel.gpu_communicator import GPUCommunicator
 import ray
@@ -54,21 +52,6 @@
 
 logger = logging.getLogger(__name__)
 
-# Keep tracking of every compiled dag created during the lifetime of
-# this process. It tracks them as weakref meaning when the compiled dag
-# is GC'ed, it is automatically removed from here. It is used to teardown
-# compiled dags at interpret shutdown time.
-_compiled_dags = weakref.WeakValueDictionary()
-
-
-# Relying on __del__ doesn't work well upon shutdown because
-# the destructor order is not guaranteed. We call this function
-# upon `ray.worker.shutdown` which is registered to atexit handler
-# so that teardown is properly called before objects are destructed.
-def _shutdown_all_compiled_dags():
-    for _, compiled_dag in _compiled_dags.items():
-        compiled_dag.teardown()
-
 
 @DeveloperAPI
 def do_allocate_channel(
@@ -1665,7 +1648,7 @@ def _is_same_actor(idx1: int, idx2: int) -> bool:
         return False
 
     def _monitor_failures(self):
-        outer = weakref.proxy(self)
+        outer = self
 
         class Monitor(threading.Thread):
             def __init__(self):
@@ -1674,8 +1657,6 @@ def __init__(self):
                 # Lock to make sure that we only perform teardown for this DAG
                 # once.
                 self.in_teardown_lock = threading.Lock()
-                self.name = "CompiledGraphMonitorThread"
-                self._teardown_done = False
 
             def wait_teardown(self):
                 for actor, ref in outer.worker_task_refs.items():
@@ -1705,9 +1686,6 @@ def wait_teardown(self):
             def teardown(self, wait: bool):
                 do_teardown = False
                 with self.in_teardown_lock:
-                    if self._teardown_done:
-                        return
-
                     if not self.in_teardown:
                         do_teardown = True
                         self.in_teardown = True
@@ -1731,11 +1709,9 @@ def teardown(self, wait: bool):
                 ]
                 for cancel_ref in cancel_refs:
                     try:
+                        # TODO(swang): Suppress exceptions from actors trying to
+                        # read closed channels when DAG is being torn down.
                         ray.get(cancel_ref, timeout=30)
-                    except ray.exceptions.RayChannelError:
-                        # Channel error happens when a channel is closed
-                        # or timed out. In this case, do not log.
-                        pass
                     except Exception:
                         logger.exception("Error cancelling worker task")
                         pass
@@ -1748,9 +1724,6 @@ def teardown(self, wait: bool):
                     self.wait_teardown()
                     logger.info("Teardown complete")
 
-                with self.in_teardown_lock:
-                    self._teardown_done = True
-
             def run(self):
                 try:
                     ray.get(list(outer.worker_task_refs.values()))
@@ -2038,7 +2011,11 @@ def teardown(self):
     def __del__(self):
         monitor = getattr(self, "_monitor", None)
         if monitor is not None:
-            monitor.teardown(wait=True)
+            # Teardown asynchronously.
+            # NOTE(swang): Somehow, this can get called after the CoreWorker
+            # has already been destructed, so it is not safe to block in
+            # ray.get.
+            monitor.teardown(wait=False)
 
 
 @DeveloperAPI
@@ -2067,6 +2044,4 @@ def _build_compiled_dag(node):
     root = dag._find_root()
     root.traverse_and_apply(_build_compiled_dag)
     compiled_dag._get_or_compile()
-    global _compiled_dags
-    _compiled_dags[compiled_dag.get_id()] = compiled_dag
     return compiled_dag