Sync from v0.13

tests/distributed/test_same_node.py

@@ -0,0 +1,49 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+import os
+
+import torch
+import torch.distributed as dist
+
+from vllm.distributed.parallel_state import in_the_same_node_as
+from vllm.distributed.utils import StatelessProcessGroup
+from vllm.utils.network_utils import get_ip, get_open_port
+
+
+def _run_test(pg):
+    test_result = all(in_the_same_node_as(pg, source_rank=0))
+
+    expected = os.environ.get("VLLM_TEST_SAME_HOST", "1") == "1"
+    assert test_result == expected, f"Expected {expected}, got {test_result}"
+    if pg == dist.group.WORLD:
+        print("Same node test passed! when using torch distributed!")
+    else:
+        print("Same node test passed! when using StatelessProcessGroup!")
+
+
+if __name__ == "__main__":
+    dist.init_process_group(backend="gloo")
+
+    rank = dist.get_rank()
+    if rank == 0:
+        port = get_open_port()
+        ip = get_ip()
+        dist.broadcast_object_list([ip, port], src=0)
+    else:
+        recv = [None, None]
+        dist.broadcast_object_list(recv, src=0)
+        ip, port = recv
+
+    stateless_pg = StatelessProcessGroup.create(ip, port, rank, dist.get_world_size())
+
+    for pg in [dist.group.WORLD, stateless_pg]:
+        if os.environ.get("VLLM_TEST_WITH_DEFAULT_DEVICE_SET", "0") == "1":
+            default_devices = ["cpu"]
+            if torch.cuda.is_available():
+                default_devices.append("cuda")
+            for device in default_devices:
+                torch.set_default_device(device)
+                _run_test(pg)
+        else:
+            _run_test(pg)