wehub-resource-sync
64 lines
2.7 KiB
C++
64 lines
2.7 KiB
C++
/* Copyright (c) 2023 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 "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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TEST(Tile, Ctor) {
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std::vector<int64_t> mesh_shape = {2, 2};
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std::vector<int64_t> process_ids = {0, 1, 2, 3};
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std::vector<std::string> dim_names = {"x", "y"};
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ProcessMesh process_mesh(mesh_shape, process_ids, dim_names);
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std::vector<int64_t> shape = {6, 8, 10};
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std::vector<int64_t> dims_mapping = {0, -1, 1};
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TensorDistAttr t_dist_attr = TensorDistAttr();
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t_dist_attr.set_process_mesh(process_mesh);
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t_dist_attr.set_dims_mapping(dims_mapping);
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t_dist_attr.set_dynamic_dims({false, false, false});
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phi::distributed::DistMetaTensor x =
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phi::distributed::DistMetaTensor(common::make_ddim(shape), t_dist_attr);
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std::vector<int64_t> repeat_times = {2, 2, 1, 1};
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// test forward
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phi::distributed::SpmdInfo forward_spmd_info =
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phi::distributed::TileInferSpmd(x, repeat_times);
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EXPECT_EQ(forward_spmd_info.first.size(), static_cast<size_t>(1));
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EXPECT_EQ(forward_spmd_info.second.size(), static_cast<size_t>(1));
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check_dim_mapping(forward_spmd_info.first[0], {-1, -1, 1});
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check_dim_mapping(forward_spmd_info.second[0], {-1, -1, -1, 1});
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check_partial_dims(forward_spmd_info.second[0], {});
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// test backward
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auto out_grad_dist_attr =
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PADDLE_GET_CONST(TensorDistAttr, forward_spmd_info.second[0]);
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out_grad_dist_attr.set_dims_mapping({0, -1, -1, 1});
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phi::distributed::DistMetaTensor out_grad = phi::distributed::DistMetaTensor(
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common::make_ddim({2, 12, 8, 10}), out_grad_dist_attr);
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phi::distributed::SpmdInfo backward_spmd_info =
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TileGradInferSpmd(x, out_grad, repeat_times);
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EXPECT_EQ(backward_spmd_info.first.size(), static_cast<size_t>(2));
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EXPECT_EQ(backward_spmd_info.second.size(), static_cast<size_t>(1));
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check_dim_mapping(backward_spmd_info.first[0], {-1, -1, 1});
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check_dim_mapping(backward_spmd_info.first[1], {0, -1, -1, 1});
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check_dim_mapping(backward_spmd_info.second[0], {-1, -1, 1});
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check_partial_dims(backward_spmd_info.second[0], {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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