chore: import upstream snapshot with attribution

test/auto_parallel/spmd_rules/test_nonzero_rule.py

@@ -0,0 +1,119 @@
+# 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 TestNonZeroSPMDRule(unittest.TestCase):
+    """
+    Unit tests for nonzero spmd rule.
+    """
+
+    def setUp(self):
+        self.rule1 = core.get_phi_spmd_rule("nonzero")
+        process_mesh = auto.ProcessMesh(mesh=[[0, 1], [2, 3]])
+        x_shape = [16, 16, 16]
+        x_tensor_dist_attr = TensorDistAttr()
+        x_tensor_dist_attr.process_mesh = process_mesh
+        self.x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
+
+        output_shape = [8, 8]
+        output_tensor_dist_attr = TensorDistAttr()
+        output_tensor_dist_attr.process_mesh = process_mesh
+        self.output_dist_tensor_spec = DistTensorSpec(
+            output_shape, output_tensor_dist_attr
+        )
+
+    def test_infer_forward(self):
+        # [1, 1, 1] (x) -->
+        # [-1, -1, -1], [-1, -1] (x, output)
+        self.x_dist_tensor_spec.set_dims_mapping([1, 1, 1])
+
+        inferred_dist_attr = self.rule1.infer_forward(self.x_dist_tensor_spec)
+
+        self.assertEqual(len(inferred_dist_attr), 2)
+        inferred_input_dist_attr = inferred_dist_attr[0]
+        inferred_output_dist_attr = inferred_dist_attr[1]
+
+        self.assertEqual(len(inferred_input_dist_attr), 1)
+        self.assertEqual(len(inferred_output_dist_attr), 1)
+
+        self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
+        self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
+
+        # [-1, -1, -1] (x) -->
+        # [-1, -1, -1], [-1, -1] (x, output)
+        self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
+
+        inferred_dist_attr = self.rule1.infer_forward(self.x_dist_tensor_spec)
+
+        self.assertEqual(len(inferred_dist_attr), 2)
+        inferred_input_dist_attr = inferred_dist_attr[0]
+        inferred_output_dist_attr = inferred_dist_attr[1]
+
+        self.assertEqual(len(inferred_input_dist_attr), 1)
+        self.assertEqual(len(inferred_output_dist_attr), 1)
+
+        self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
+        self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
+
+    def test_infer_reverse(self):
+        # [1, 1, 1], [-1, -1] (x, output) -->
+        # [-1, -1, -1], [-1, -1] (x, output)
+        self.x_dist_tensor_spec.set_dims_mapping([1, 1, 1])
+        self.output_dist_tensor_spec.set_dims_mapping([1, 1])
+
+        inferred_dist_attr = self.rule1.infer_backward(
+            self.x_dist_tensor_spec, self.output_dist_tensor_spec
+        )
+
+        self.assertEqual(len(inferred_dist_attr), 2)
+        inferred_input_dist_attr = inferred_dist_attr[0]
+        inferred_output_dist_attr = inferred_dist_attr[1]
+
+        self.assertEqual(len(inferred_input_dist_attr), 1)
+        self.assertEqual(len(inferred_output_dist_attr), 1)
+
+        self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
+        self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
+
+        # [-1, -1, -1], [-1, -1] (x, output) -->
+        # [-1, -1, -1], [-1, -1] (x, output)
+        self.x_dist_tensor_spec.set_dims_mapping([1, 1, 1])
+        self.output_dist_tensor_spec.set_dims_mapping([-1, -1])
+
+        inferred_dist_attr = self.rule1.infer_backward(
+            self.x_dist_tensor_spec, self.output_dist_tensor_spec
+        )
+
+        self.assertEqual(len(inferred_dist_attr), 2)
+        inferred_input_dist_attr = inferred_dist_attr[0]
+        inferred_output_dist_attr = inferred_dist_attr[1]
+
+        self.assertEqual(len(inferred_input_dist_attr), 1)
+        self.assertEqual(len(inferred_output_dist_attr), 1)
+
+        self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
+        self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
+
+
+if __name__ == "__main__":
+    unittest.main()