# 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()