chore: import upstream snapshot with attribution

test/auto_parallel/auto_parallel_backward.py

@@ -0,0 +1,51 @@
+# Copyright (c) 2024 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 paddle
+import paddle.distributed as dist
+
+
+class TestBackwardAutoParallel:
+    def init_data(self):
+        self.mesh = dist.ProcessMesh([0], dim_names=['d0'])
+
+        self.x = paddle.to_tensor([[1]])
+        self.y = paddle.to_tensor([[1]])
+        self.z = paddle.to_tensor([[1]])
+
+        self.x.stop_gradient = False
+        self.y.stop_gradient = False
+        self.z.stop_gradient = False
+
+        self.z = dist.shard_tensor(self.z, self.mesh, [dist.Replicate()])
+
+    def run_test_case1(self):
+        self.init_data()
+        o = self.x * self.y
+        o = o + self.z
+        o = o.sum()
+        o.backward()
+
+    def run_test_case2(self):
+        self.init_data()
+        o = self.x + self.y
+        o = o - self.z
+        o = o.sum()
+        o.backward()
+
+
+# python -m paddle.distributed.launch --device=0 auto_parallel_backward.py
+if __name__ == '__main__':
+    TestBackwardAutoParallel().run_test_case1()
+    TestBackwardAutoParallel().run_test_case2()