chore: import upstream snapshot with attribution

test/auto_parallel/semi_auto_parallel_for_conv2d.py

@@ -0,0 +1,54 @@
+# Copyright (c) 2023 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 semi_auto_parallel_util import SemiAutoParallelTestBase
+
+import paddle
+import paddle.distributed as dist
+
+
+class TestConv2dApiForSemiAutoParallel(SemiAutoParallelTestBase):
+    def __init__(self):
+        super().__init__()
+
+    def check_placements(self, output, expected_placements):
+        assert output.placements == expected_placements, (
+            f"{output.placements}  vs {expected_placements}"
+        )
+
+    def test_conv2d_shard(self):
+        shapes = ([8, 3, 8, 8], [6, 3, 3, 3], [6])
+        specs = (['x', None, None], [None], [None])
+        inputs, outputs = self.runfunc_and_check(
+            inputs_shape=shapes,
+            inputs_specs=specs,
+            op_func=paddle.nn.functional.conv2d,
+            with_backward=True,
+        )
+        self.check_placements(outputs, [dist.Shard(0)])
+
+    def run_test_case(self):
+        if self._backend == "cpu":
+            paddle.set_device("cpu")
+        elif self._backend == "gpu":
+            paddle.set_device("gpu:" + str(dist.get_rank()))
+        else:
+            raise ValueError("Only support cpu or gpu backend.")
+
+        self.test_conv2d_shard()
+
+
+if __name__ == '__main__':
+    TestConv2dApiForSemiAutoParallel().run_test_case()