fe9dff339c
* Convert federated learner test into test suite. - Add specialization to learning to rank.
54 lines
1.4 KiB
C++
54 lines
1.4 KiB
C++
/*!
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* Copyright 2023 XGBoost contributors
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*/
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#include <gtest/gtest.h>
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#include <xgboost/data.h>
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#include <thread>
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#include "../../../plugin/federated/federated_server.h"
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#include "../../../src/collective/communicator-inl.h"
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#include "../filesystem.h"
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#include "../helpers.h"
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#include "helpers.h"
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namespace xgboost {
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class FederatedDataTest : public BaseFederatedTest {};
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void VerifyLoadUri() {
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auto const rank = collective::GetRank();
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size_t constexpr kRows{16};
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size_t const kCols = 8 + rank;
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dmlc::TemporaryDirectory tmpdir;
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std::string path = tmpdir.path + "/small" + std::to_string(rank) + ".csv";
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CreateTestCSV(path, kRows, kCols);
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std::unique_ptr<DMatrix> dmat;
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std::string uri = path + "?format=csv";
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dmat.reset(DMatrix::Load(uri, false, DataSplitMode::kCol));
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ASSERT_EQ(dmat->Info().num_col_, 8 * collective::GetWorldSize() + 3);
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ASSERT_EQ(dmat->Info().num_row_, kRows);
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for (auto const& page : dmat->GetBatches<SparsePage>()) {
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auto entries = page.GetView().data;
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auto index = 0;
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int offsets[] = {0, 8, 17};
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int offset = offsets[rank];
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for (std::size_t row = 0; row < kRows; row++) {
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for (std::size_t col = 0; col < kCols; col++) {
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EXPECT_EQ(entries[index].index, col + offset);
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index++;
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}
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}
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}
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}
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TEST_F(FederatedDataTest, LoadUri) {
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RunWithFederatedCommunicator(kWorldSize, server_->Address(), &VerifyLoadUri);
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}
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} // namespace xgboost
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