chore: import upstream snapshot with attribution

python/paddle/distributed/fleet/runtime/collective_runtime.py

@@ -0,0 +1,51 @@
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+
+from .runtime_base import RuntimeBase
+
+__all__ = []
+
+
+class CollectiveRuntime(RuntimeBase):
+    def __init__(self):
+        super().__init__()
+
+    def _init_worker(self):
+        logging.warning(
+            "You should not call 'init_worker' method for collective mode."
+        )
+
+    def _run_worker(self):
+        logging.warning(
+            "You should not call 'run_worker' method for collective mode."
+        )
+
+    def _init_server(self, *args, **kwargs):
+        logging.warning(
+            "You should not call 'init_server' method for collective mode."
+        )
+
+    def _run_server(self):
+        logging.warning(
+            "You should not call 'run_server' method for collective mode."
+        )
+
+    def _stop_worker(self):
+        logging.warning(
+            "You should not call 'stop_worker' method for collective mode."
+        )
+
+    # save inference model should be added here