wehub-resource-sync
106 lines
4.4 KiB
C++
106 lines
4.4 KiB
C++
/* Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "glog/logging.h"
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#include "test/cpp/auto_parallel/spmd_rule_test_util.h"
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namespace paddle {
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namespace distributed {
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namespace auto_parallel {
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ProcessMesh CreateProcessMesh() {
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std::vector<int64_t> mesh_shape = {2, 3};
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std::vector<int64_t> process_ids = {0, 1, 2, 3, 4, 5};
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std::vector<std::string> dim_names = {"x", "y"};
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return ProcessMesh(mesh_shape, process_ids, dim_names);
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}
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phi::distributed::DistMetaTensor CreateDistMetaTensor(
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const std::vector<int64_t>& shape,
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const std::vector<int64_t>& dims_mapping,
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const ProcessMesh& process_mesh) {
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TensorDistAttr dist_attr;
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dist_attr.set_process_mesh(process_mesh);
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dist_attr.set_dims_mapping(dims_mapping);
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return phi::distributed::DistMetaTensor(phi::make_ddim(shape), dist_attr);
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}
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TEST(ExpandInferSpmd, Ctor) {
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ProcessMesh process_mesh = CreateProcessMesh();
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// Test case forward 1: Expand with shape {8, 2, 6, 1024, -1}
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auto x = CreateDistMetaTensor(
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{8, 2, 1, 1024, 128}, {0, -1, -1, 1, -1}, process_mesh);
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phi::IntArray shape = {8, 2, 6, 1024, -1};
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auto spmdinfo = ExpandInferSpmd(x, shape);
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EXPECT_EQ(get_dims_mapping(spmdinfo.first[0]),
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std::vector<int64_t>({0, -1, -1, 1, -1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo.second[0]),
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std::vector<int64_t>({0, -1, -1, 1, -1}));
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// Test case forward 2: Expand with shape {2, -1}
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auto x1 = CreateDistMetaTensor({8}, {1}, process_mesh);
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phi::IntArray shape1 = {2, -1};
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auto spmdinfo1 = ExpandInferSpmd(x1, shape1);
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EXPECT_EQ(get_dims_mapping(spmdinfo1.first[0]), std::vector<int64_t>({1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo1.second[0]),
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std::vector<int64_t>({-1, 1}));
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// Test case forward 3: Expand with shape {0, -1}
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auto x2 = CreateDistMetaTensor({8}, {1}, process_mesh);
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phi::IntArray shape2 = {0, -1};
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auto spmdinfo2 = ExpandInferSpmd(x2, shape2);
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EXPECT_EQ(get_dims_mapping(spmdinfo2.first[0]), std::vector<int64_t>({1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo2.second[0]),
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std::vector<int64_t>({-1, 1}));
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// Test case backward 1: ExpandGrad with shape {0, -1}
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auto x3 = CreateDistMetaTensor({8}, {1}, process_mesh);
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auto out3 = CreateDistMetaTensor({2, 8}, {-1, 1}, process_mesh);
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phi::IntArray shape3 = {0, -1};
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auto spmdinfo3 = ExpandGradInferSpmd(x3, out3, shape3);
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EXPECT_EQ(get_dims_mapping(spmdinfo3.first[0]), std::vector<int64_t>({1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo3.first[1]),
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std::vector<int64_t>({-1, 1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo3.second[0]), std::vector<int64_t>({1}));
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// Test case backward 2: ExpandGrad with shape {2, 2, -1}
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auto x4 = CreateDistMetaTensor({1, 8}, {-1, 1}, process_mesh);
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auto out4 = CreateDistMetaTensor({2, 2, 8}, {-1, -1, 1}, process_mesh);
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phi::IntArray shape4 = {2, 2, -1};
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auto spmdinfo4 = ExpandGradInferSpmd(x4, out4, shape4);
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EXPECT_EQ(get_dims_mapping(spmdinfo4.first[0]),
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std::vector<int64_t>({-1, 1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo4.first[1]),
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std::vector<int64_t>({-1, -1, 1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo4.second[0]),
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std::vector<int64_t>({-1, 1}));
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// Test case backward 3: ExpandGrad with shape {2, 2, -1}
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auto x5 = CreateDistMetaTensor({1, 8}, {-1, 1}, process_mesh);
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auto out5 = CreateDistMetaTensor({2, 2, 8}, {-1, 0, 1}, process_mesh);
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phi::IntArray shape5 = {2, 2, -1};
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auto spmdinfo5 = ExpandGradInferSpmd(x5, out5, shape5);
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EXPECT_EQ(get_dims_mapping(spmdinfo5.first[0]),
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std::vector<int64_t>({-1, 1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo5.first[1]),
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std::vector<int64_t>({-1, 0, 1}));
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EXPECT_EQ(get_dims_mapping(spmdinfo5.second[0]),
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std::vector<int64_t>({-1, 1}));
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EXPECT_EQ(get_partial_dims(spmdinfo5.second[0]), std::set<int64_t>({0}));
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}
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} // namespace auto_parallel
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} // namespace distributed
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} // namespace paddle
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