De-duplicate GPU parameters. (#4454)
* Only define `gpu_id` and `n_gpus` in `LearnerTrainParam` * Pass LearnerTrainParam through XGBoost vid factory method. * Disable all GPU usage when GPU related parameters are not specified (fixes XGBoost choosing GPU over aggressively). * Test learner train param io. * Fix gpu pickling.
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@@ -7,9 +7,10 @@
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TEST(Linear, shotgun) {
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auto mat = xgboost::CreateDMatrix(10, 10, 0);
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auto lparam = xgboost::CreateEmptyGenericParam(0, 0);
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{
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auto updater = std::unique_ptr<xgboost::LinearUpdater>(
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xgboost::LinearUpdater::Create("shotgun"));
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xgboost::LinearUpdater::Create("shotgun", &lparam));
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updater->Init({{"eta", "1."}});
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xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
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(*mat)->Info().num_row_, xgboost::GradientPair(-5, 1.0));
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@@ -24,7 +25,7 @@ TEST(Linear, shotgun) {
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}
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{
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auto updater = std::unique_ptr<xgboost::LinearUpdater>(
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xgboost::LinearUpdater::Create("shotgun"));
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xgboost::LinearUpdater::Create("shotgun", &lparam));
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EXPECT_ANY_THROW(updater->Init({{"feature_selector", "random"}}));
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}
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delete mat;
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@@ -32,8 +33,9 @@ TEST(Linear, shotgun) {
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TEST(Linear, coordinate) {
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auto mat = xgboost::CreateDMatrix(10, 10, 0);
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auto lparam = xgboost::CreateEmptyGenericParam(0, 0);
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auto updater = std::unique_ptr<xgboost::LinearUpdater>(
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xgboost::LinearUpdater::Create("coord_descent"));
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xgboost::LinearUpdater::Create("coord_descent", &lparam));
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updater->Init({{"eta", "1."}});
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xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
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(*mat)->Info().num_row_, xgboost::GradientPair(-5, 1.0));
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@@ -6,11 +6,12 @@
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namespace xgboost {
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TEST(Linear, GPUCoordinate) {
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dh::safe_cuda(cudaSetDevice(0));
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auto mat = xgboost::CreateDMatrix(10, 10, 0);
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auto lparam = CreateEmptyGenericParam(0, 1);
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lparam.n_gpus = 1;
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auto updater = std::unique_ptr<xgboost::LinearUpdater>(
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xgboost::LinearUpdater::Create("gpu_coord_descent"));
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updater->Init({{"eta", "1."}, {"n_gpus", "1"}});
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xgboost::LinearUpdater::Create("gpu_coord_descent", &lparam));
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updater->Init({{"eta", "1."}});
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xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
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(*mat)->Info().num_row_, xgboost::GradientPair(-5, 1.0));
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xgboost::gbm::GBLinearModel model;
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@@ -26,12 +27,13 @@ TEST(Linear, GPUCoordinate) {
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#if defined(XGBOOST_USE_NCCL)
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TEST(Linear, MGPU_GPUCoordinate) {
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dh::safe_cuda(cudaSetDevice(0));
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{
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auto mat = xgboost::CreateDMatrix(10, 10, 0);
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auto lparam = CreateEmptyGenericParam(0, -1);
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lparam.n_gpus = -1;
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auto updater = std::unique_ptr<xgboost::LinearUpdater>(
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xgboost::LinearUpdater::Create("gpu_coord_descent"));
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updater->Init({{"eta", "1."}, {"n_gpus", "-1"}});
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xgboost::LinearUpdater::Create("gpu_coord_descent", &lparam));
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updater->Init({{"eta", "1."}});
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xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
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(*mat)->Info().num_row_, xgboost::GradientPair(-5, 1.0));
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xgboost::gbm::GBLinearModel model;
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@@ -44,15 +46,13 @@ TEST(Linear, MGPU_GPUCoordinate) {
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delete mat;
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}
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dh::safe_cuda(cudaSetDevice(0));
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{
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auto lparam = CreateEmptyGenericParam(1, -1);
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lparam.n_gpus = -1;
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auto mat = xgboost::CreateDMatrix(10, 10, 0);
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auto updater = std::unique_ptr<xgboost::LinearUpdater>(
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xgboost::LinearUpdater::Create("gpu_coord_descent"));
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updater->Init({
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{"eta", "1."},
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{"n_gpus", "-1"},
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{"gpu_id", "1"}});
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xgboost::LinearUpdater::Create("gpu_coord_descent", &lparam));
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updater->Init({{"eta", "1."}});
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xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
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(*mat)->Info().num_row_, xgboost::GradientPair(-5, 1.0));
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xgboost::gbm::GBLinearModel model;
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