feat(mge/examples): add distributed training examples using launcher

GitOrigin-RevId: 5db26f58eb2f81825693c423f9466bbd830fec6c

imperative/python/megengine/distributed/launcher.py

@@ -8,26 +8,12 @@
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 import multiprocessing as mp
 
-from ..device import get_device_count
 from .group import init_process_group
+from .helper import get_device_count_by_fork
 from .server import Server
 from .util import get_free_ports
 
 
-def _get_device_count():
-    """use subprocess to avoid cuda environment initialization in the main process"""
-
-    def run(q):
-        count = get_device_count("gpu")
-        q.put(count)
-
-    q = mp.Queue()
-    p = mp.Process(target=run, args=(q,))
-    p.start()
-    p.join()
-    return q.get()
-
-
 def _run_wrapped(func, master_ip, port, world_size, rank, dev, args, kwargs):
     """init distributed process group and run wrapped function"""
     init_process_group(
@@ -36,33 +22,28 @@ def _run_wrapped(func, master_ip, port, world_size, rank, dev, args, kwargs):
     func(*args, **kwargs)
 
 
-def launcher(n_gpus):
+def launcher(func):
     """decorator for launching multiple processes in single-machine multi-gpu training"""
 
-    count = _get_device_count()
-    assert isinstance(n_gpus, int) and n_gpus > 1, "invalid n_gpus"
-    assert n_gpus <= count, "{} gpus required, {} gpus provided".format(n_gpus, count)
-
-    def decorator(func):
-        def wrapper(*args, **kwargs):
-            master_ip = "localhost"
-            port = get_free_ports(1)[0]
-            server = Server(port)
+    n_gpus = get_device_count_by_fork("gpu")
 
-            procs = []
-            for rank in range(n_gpus):
-                p = mp.Process(
-                    target=_run_wrapped,
-                    args=(func, master_ip, port, n_gpus, rank, rank, args, kwargs),
-                )
-                p.start()
-                procs.append(p)
+    def wrapper(*args, **kwargs):
+        master_ip = "localhost"
+        port = get_free_ports(1)[0]
+        server = Server(port)
 
-            for rank in range(n_gpus):
-                procs[rank].join()
-                code = procs[rank].exitcode
-                assert code == 0, "subprocess {} exit with code {}".format(rank, code)
+        procs = []
+        for rank in range(n_gpus):
+            p = mp.Process(
+                target=_run_wrapped,
+                args=(func, master_ip, port, n_gpus, rank, rank, args, kwargs),
+            )
+            p.start()
+            procs.append(p)
 
-        return wrapper
+        for rank in range(n_gpus):
+            procs[rank].join()
+            code = procs[rank].exitcode
+            assert code == 0, "subprocess {} exit with code {}".format(rank, code)
 
-    return decorator
+    return wrapper