Merge branch 'feature/sparse-update' of https://github.com/Microsoft/multiverso into feature/sparse-update
Conflicts: Test/main.cpp
This commit is contained in:
Qiwei Ye
Коммит
bd9e4f4b70
173
Test/main.cpp
173
Test/main.cpp
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@ -489,9 +489,16 @@ void TestSparseMatrixTable(int argc, char* argv[]) {
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}
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void TestMatrixPerformance(int argc, char* argv[], bool sparse = true) {
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Log::ResetLogLevel(LogLevel::Error);
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Log::Info("Test Sparse Matrix\n");
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template<typename WT, typename ST>
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void TestmatrixPerformance(int argc, char* argv[],
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std::function<std::shared_ptr<WT>(int num_row, int num_col)>CreateWorkerTable,
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std::function<std::shared_ptr<ST>(int num_row, int num_col)>CreateServerTable,
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std::function<void(const std::shared_ptr<WT>& worker_table, const std::vector<int>& row_ids, const std::vector<int*>& data_vec, size_t size, const UpdateOption* option, int worker_id)> Add,
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std::function<void(const std::shared_ptr<WT>& worker_table, int* data, size_t size, int worker_id)> Get) {
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Log::ResetLogLevel(LogLevel::Info);
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Log::Info("Test Matrix\n");
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Timer timmer;
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MV_Init(&argc, argv);
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multiverso::SetCMDFlag("sync", true);
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@ -503,7 +510,7 @@ void TestMatrixPerformance(int argc, char* argv[], bool sparse = true) {
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for (int i = 3; i < 100; i++) // asuming 100
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{
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bool prime = true;
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for (int j = 0; j<primes.size() && primes[j] * primes[j] <= i; j++)
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for (int j = 0; j < primes.size() && primes[j] * primes[j] <= i; j++)
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{
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if (i % primes[j] == 0)
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{
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@ -527,11 +534,11 @@ void TestMatrixPerformance(int argc, char* argv[], bool sparse = true) {
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int* keys = new int[num_row];
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for (auto row = 0; row < num_row; ++row) {
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for (auto col = 0; col < num_col; ++col) {
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delta[row * num_col + col] = row + 2;
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}
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delta[row * num_col + col] = row * num_col + col;
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}
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}
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UpdateOption option;
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option.set_worker_id(worker_id);
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@ -540,92 +547,87 @@ void TestMatrixPerformance(int argc, char* argv[], bool sparse = true) {
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for (int i = 0; i < num_row; i++){
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unique_index.push_back(i);
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}
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Timer timmer;
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if (sparse) {
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for (auto p = 0; p < 10; ++p)
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for (auto p = 0; p < 10; ++p)
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{
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std::shuffle(unique_index.begin(), unique_index.end(), eng);
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std::cout << "==> test add " << p + 1 << " /10 rows to matrix server" << std::endl;
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auto worker_table = CreateWorkerTable(num_row, num_col);
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auto server_table = CreateServerTable(num_row, num_col);
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std::vector<int> row_ids;
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std::vector<float*> data_vec;
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for (auto i = 0; i < (p + 1) * num_row / 10; i++)
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{
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std::shuffle(unique_index.begin(), unique_index.end(), eng);
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std::cout << "==> test add " << p + 1 << " /10 rows to *sparse* matrix server" << std::endl;
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auto worker_table = std::shared_ptr<SparseMatrixWorkerTable<float>>(
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new SparseMatrixWorkerTable<float>(num_row, num_col));
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auto server_table = std::shared_ptr<SparseMatrixServerTable<float>>(
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new SparseMatrixServerTable<float>(num_row, num_col, false));
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std::vector<int> row_ids;
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std::vector<float*> data_vec;
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for (auto i = 0; i < (p+1) * num_row / 10; i++)
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{
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row_ids.push_back(unique_index[i]);
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data_vec.push_back(delta + unique_index[i] * num_col);
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}
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std::cout << "row_ids : size " << row_ids.size() << std::endl;
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worker_table->Add(row_ids, data_vec, num_col, &option);
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worker_table->Get(data, size, -1);
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for (auto i = 0; i < num_row; ++i) {
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auto row_start = data + i * num_col;
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for (auto col = 0; col < num_col; ++col) {
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if (i % 10 <= p) {
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auto expected = i + 2;
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auto actual = *(row_start + col);
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ASSERT_EQ(expected, actual) << "Should be updated after adding";
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}
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else {
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ASSERT_EQ(0, *(row_start + col)) << "Should be 0 for non update row values";
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}
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row_ids.push_back(unique_index[i]);
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data_vec.push_back(delta + unique_index[i] * num_col);
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}
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Add(worker_table, row_ids, data_vec, num_col, &option, worker_id);
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Get(worker_table, data, size, -1);
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for (auto i = 0; i < num_row; ++i) {
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auto row_start = data + i * num_col;
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for (auto col = 0; col < num_col; ++col) {
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if (i % 10 <= p) {
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auto expected = i * num_col + col;
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auto actual = *(row_start + col);
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// ASSERT_EQ(expected, actual) << "Should be updated after adding";
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}
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else {
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// ASSERT_EQ(0, *(row_start + col)) << "Should be 0 for non update row values";
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}
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}
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timmer.Start();
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worker_table->Get(data, size, worker_id);
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std::cout << " " << 1.0 * timmer.elapse() / 1000 << "s:\t" << "get all rows after adding to rows" << std::endl;
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}
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timmer.Start();
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Get(worker_table, data, size, worker_id);
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std::cout << " " << 1.0 * timmer.elapse() / 1000 << "s:\t" << "get all rows after adding to rows" << std::endl;
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}
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else {
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for (auto p = 0; p < 10; ++p)
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{
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std::shuffle(unique_index.begin(), unique_index.end(), eng);
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std::cout << "==> test add " << p + 1 << " /10 rows to matrix server" << std::endl;
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auto worker_table = std::shared_ptr<MatrixWorkerTable<float>>(
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new MatrixWorkerTable<float>(num_row, num_col));
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auto server_table = std::shared_ptr<MatrixServerTable<float>>(
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new MatrixServerTable<float>(num_row, num_col));
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std::vector<int> row_ids;
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std::vector<float*> data_vec;
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// update (p+1)/10 rows with 1
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for (auto i = 0; i < (p + 1) * num_row / 10; i++)
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{
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row_ids.push_back(unique_index[i]);
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data_vec.push_back(delta + unique_index[i] * num_col);
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}
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std::cout << "row_ids : size " << row_ids.size() << std::endl;
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worker_table->Add(row_ids, data_vec, num_col, &option);
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worker_table->Get(data, size);
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for (auto i = 0; i < num_row; ++i) {
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auto row_start = data + i * num_col;
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for (auto col = 0; col < num_col; ++col) {
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if (i % 10 <= p) {
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auto expected = i + 2;
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auto actual = *(row_start + col);
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ASSERT_EQ(expected, actual) << "Should be updated after adding";
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}
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else {
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ASSERT_EQ(0, *(row_start + col)) << "Should be 0 for non update row values";
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}
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}
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}
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timmer.Start();
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worker_table->Get(data, size);
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std::cout << " " << 1.0 * timmer.elapse() / 1000 << "s:\t" << "get all rows after adding to rows" << std::endl;
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}
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}
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Log::ResetLogLevel(LogLevel::Info);
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Dashboard::Display();
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Log::ResetLogLevel(LogLevel::Error);
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MV_Barrier();
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Log::ResetLogLevel(LogLevel::Info);
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Dashboard::Display();
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Log::ResetLogLevel(LogLevel::Error);
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MV_ShutDown();
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}
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void TestSparsePerf(int argc, char* argv[]) {
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TestmatrixPerformance<SparseMatrixWorkerTable<int>, SparseMatrixServerTable<int>>(argc,
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argv,
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[](int num_row, int num_col) {
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return std::shared_ptr<SparseMatrixWorkerTable<int>>(
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new SparseMatrixWorkerTable<int>(num_row, num_col));
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},
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[](int num_row, int num_col) {
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return std::shared_ptr<SparseMatrixServerTable<int>>(
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new SparseMatrixServerTable<int>(num_row, num_col, false));
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},
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[](const std::shared_ptr<SparseMatrixWorkerTable<int>>& worker_table, const std::vector<int>& row_ids, const std::vector<int*>& data_vec, size_t size, const UpdateOption* option, const int worker_id) {
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worker_table->Add(row_ids, data_vec, size, option);
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},
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[](const std::shared_ptr<SparseMatrixWorkerTable<int>>& worker_table, int* data, size_t size, int worker_id) {
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worker_table->Get(data, size, worker_id);
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});
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}
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void TestDensePerf(int argc, char* argv[]) {
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TestmatrixPerformance<MatrixWorkerTable<int>, MatrixServerTable<int>>(argc,
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argv,
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[](int num_row, int num_col) {
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return std::shared_ptr<MatrixWorkerTable<int>>(
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new MatrixWorkerTable<int>(num_row, num_col));
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},
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[](int num_row, int num_col) {
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return std::shared_ptr<MatrixServerTable<int>>(
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new MatrixServerTable<int>(num_row, num_col));
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},
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[](const std::shared_ptr<MatrixWorkerTable<int>>& worker_table, const std::vector<int>& row_ids, const std::vector<int*>& data_vec, size_t size, const UpdateOption* option, const int worker_id) {
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worker_table->Add(row_ids, data_vec, size, option);
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},
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[](const std::shared_ptr<MatrixWorkerTable<int>>& worker_table, int* data, size_t size, int worker_id) {
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worker_table->Get(data, size);
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});
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}
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int main(int argc, char* argv[]) {
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Log::ResetLogLevel(LogLevel::Debug);
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@ -648,9 +650,8 @@ int main(int argc, char* argv[]) {
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else if (strcmp(argv[1], "checkpoint") == 0) TestCheckPoint(argc, argv, false);
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else if (strcmp(argv[1], "restore") == 0) TestCheckPoint(argc, argv, true);
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else if (strcmp(argv[1], "allreduce") == 0) TestAllreduce(argc, argv);
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else if (strcmp(argv[1], "sparsematrix") == 0) TestSparseMatrixTable(argc, argv);
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else if (strcmp(argv[1], "perf-sparse") == 0) TestMatrixPerformance(argc, argv);
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else if (strcmp(argv[1], "perf-dense") == 0) TestMatrixPerformance(argc, argv,false);
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else if (strcmp(argv[1], "TestSparsePerf") == 0) TestSparsePerf(argc, argv);
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else if (strcmp(argv[1], "TestDensePerf") == 0) TestDensePerf(argc, argv);
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else CHECK(false);
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}
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return 0;
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