chore: import upstream snapshot with attribution

python/paddle/distributed/fleet/meta_parallel/meta_parallel_base.py

@@ -0,0 +1,44 @@
+#   Copyright (c) 2021 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.
+
+from paddle import nn
+
+__all__ = []
+
+
+class MetaParallelBase(nn.Layer):
+    def __init__(self, layers, hcg, strategy):
+        super().__init__(layers.full_name() + "_meta_parallel_base")
+        self._layers = layers
+        self._hcg = hcg
+        self._strategy = strategy
+        self._prepare_for_model()
+
+    def _prepare_for_model(self):
+        pass
+
+    def _pre_forward(self, *inputs, **kwargs):
+        pass
+
+    def forward(self, *inputs, **kwargs):
+        self._pre_forward(*inputs, **kwargs)
+
+        output = self._layers(*inputs, **kwargs)
+
+        self._post_forward(output)
+
+        return output
+
+    def _post_forward(self, output):
+        pass