merge tests
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Родитель
0a99f5e3e8
Коммит
bbec7359d9
160
Test/main.cpp
160
Test/main.cpp
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@ -488,9 +488,15 @@ void TestSparseMatrixTable(int argc, char* argv[]) {
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}
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void TestMatrixPerformance(int argc, char* argv[], bool sparse) {
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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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@ -505,97 +511,94 @@ void TestMatrixPerformance(int argc, char* argv[], bool sparse) {
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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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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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if (sparse) {
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for (auto p = 0; p < 10; ++p)
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{
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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<int>>(
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new SparseMatrixWorkerTable<int>(num_row, num_col));
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auto server_table = std::shared_ptr<SparseMatrixServerTable<int>>(
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new SparseMatrixServerTable<int>(num_row, num_col, false));
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std::vector<int> row_ids;
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std::vector<int*> data_vec;
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// update (p+1)/10 rows with 1
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for (auto i = 0; i < num_row; ++i) {
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if (i % 10 <= p) {
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row_ids.push_back(i);
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data_vec.push_back(delta + i * num_col);
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}
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for (auto p = 0; p < 10; ++p)
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{
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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<int*> data_vec;
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// update (p+1)/10 rows with 1
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for (auto i = 0; i < num_row; ++i) {
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if (i % 10 <= p) {
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row_ids.push_back(i);
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data_vec.push_back(delta + i * num_col);
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}
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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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}
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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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}
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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::cout << "==> test add " << p + 1 << " /10 rows to matrix server" << std::endl;
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auto worker_table = std::shared_ptr<MatrixWorkerTable<int>>(
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new MatrixWorkerTable<int>(num_row, num_col));
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auto server_table = std::shared_ptr<MatrixServerTable<int>>(
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new MatrixServerTable<int>(num_row, num_col));
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std::vector<int> row_ids;
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std::vector<int*> data_vec;
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// update (p+1)/10 rows with 1
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for (auto i = 0; i < num_row; ++i) {
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if (i % 10 <= p) {
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row_ids.push_back(i);
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data_vec.push_back(delta + i * num_col);
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}
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}
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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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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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} 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);
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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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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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@ -618,9 +621,8 @@ 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], "testsparse0") == 0) TestMatrixPerformance(argc, argv, true);
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else if (strcmp(argv[1], "testsparse1") == 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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