# 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()