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67 lines
2.1 KiB
67 lines
2.1 KiB
/* Copyright (c) 2020 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 <ThreadPool.h>
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#include <unordered_map>
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#include <vector>
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#include "gtest/gtest.h"
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#include "paddle/fluid/distributed/ps.pb.h"
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#include "paddle/fluid/distributed/table/common_table.h"
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#include "paddle/fluid/distributed/table/table.h"
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namespace paddle {
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namespace distributed {
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TEST(BarrierTable, Barrier) {
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int emb_dim = 10;
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int trainers = 2;
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bool sync = true;
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TableParameter table_config;
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table_config.set_table_class("BarrierTable");
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FsClientParameter fs_config;
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Table *table = new BarrierTable();
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TableAccessorParameter *accessor_config = table_config.mutable_accessor();
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accessor_config->set_accessor_class("CommMergeAccessor");
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CommonAccessorParameter *common_config = table_config.mutable_common();
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common_config->set_table_name("barrier_table");
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common_config->set_trainer_num(trainers);
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common_config->set_sync(sync);
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auto ret = table->initialize(table_config, fs_config);
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std::unordered_map<uint32_t, std::shared_ptr<Table>> maps =
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std::unordered_map<uint32_t, std::shared_ptr<Table>>();
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table->set_table_map(&maps);
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std::shared_ptr<::ThreadPool> pool_ =
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std::make_shared<::ThreadPool>(trainers);
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std::vector<std::future<void>> task_status;
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for (auto x = 0; x < trainers; x++) {
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auto task = [table, x] { table->barrier(x, 0); };
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task_status.push_back(pool_->enqueue(std::move(task)));
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}
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for (auto &status : task_status) {
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status.wait();
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}
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ASSERT_EQ(ret, 0);
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}
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} // namespace distributed
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} // namespace paddle
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