chore: import upstream snapshot with attribution

test/auto_parallel/spmd_rules/test_stack_rule.py

@@ -0,0 +1,74 @@
+# 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 unittest
+
+from paddle.distributed.auto_parallel.static.dist_attribute import (
+    DistTensorSpec,
+    TensorDistAttr,
+)
+from paddle.distributed.fleet import auto
+from paddle.framework import core
+
+
+class TestStackSPMDRule(unittest.TestCase):
+    """
+    Unit tests for split spmd rule.
+    """
+
+    def setUp(self):
+        self.process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2, 3], [4, 5, 6, 7]])
+        self.shapes = [[2, 4], [2, 4]]
+        self.dim_mappings = [[0, -1], [0, -1]]
+
+    def build_inputs(self):
+        inputs = []
+        for shape, dim_mapping in zip(self.shapes, self.dim_mappings):
+            tensor_dist_attr = TensorDistAttr()
+            tensor_dist_attr.dims_mapping = dim_mapping
+            tensor_dist_attr.process_mesh = self.process_mesh
+            inputs.append(DistTensorSpec(shape, tensor_dist_attr))
+        return inputs
+
+    def build_outputs(self):
+        tensor_dist_attr = TensorDistAttr()
+        tensor_dist_attr.dims_mapping = [0, -1, -1]
+        tensor_dist_attr.process_mesh = self.process_mesh
+        return DistTensorSpec([2, 4, 2], tensor_dist_attr)
+
+    def test_infer_forward(self):
+        inputs = self.build_inputs()
+        rule = core.get_phi_spmd_rule("stack")
+        inferred_dist_attrs = rule.infer_forward(inputs, -1)
+
+        inferred_output_dist_attrs = inferred_dist_attrs[1]
+        self.assertEqual(len(inferred_output_dist_attrs), 1)
+        self.assertEqual(
+            inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1]
+        )
+
+    def test_infer_backward(self):
+        inputs = self.build_inputs()
+        output = self.build_outputs()
+        rule = core.get_phi_spmd_rule("stack")
+        inferred_dist_attrs = rule.infer_backward(inputs, output, -1)
+
+        inferred_input_dist_attrs = inferred_dist_attrs[0]
+        self.assertEqual(len(inferred_input_dist_attrs), 1)
+        for input_dist_attr in inferred_input_dist_attrs[0]:
+            self.assertEqual(input_dist_attr.dims_mapping, [0, -1])
+
+
+if __name__ == "__main__":
+    unittest.main()