Remove internal use of gpu_id. (#9568)
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@@ -94,7 +94,7 @@ TEST(EllpackPage, FromCategoricalBasic) {
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Context ctx{MakeCUDACtx(0)};
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auto p = BatchParam{max_bins, tree::TrainParam::DftSparseThreshold()};
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auto ellpack = EllpackPage(&ctx, m.get(), p);
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auto accessor = ellpack.Impl()->GetDeviceAccessor(0);
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auto accessor = ellpack.Impl()->GetDeviceAccessor(FstCU());
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ASSERT_EQ(kCats, accessor.NumBins());
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auto x_copy = x;
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@@ -152,13 +152,12 @@ TEST(EllpackPage, Copy) {
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auto page = (*dmat->GetBatches<EllpackPage>(&ctx, param).begin()).Impl();
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// Create an empty result page.
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EllpackPageImpl result(0, page->Cuts(), page->is_dense, page->row_stride,
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kRows);
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EllpackPageImpl result(FstCU(), page->Cuts(), page->is_dense, page->row_stride, kRows);
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// Copy batch pages into the result page.
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size_t offset = 0;
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for (auto& batch : dmat->GetBatches<EllpackPage>(&ctx, param)) {
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size_t num_elements = result.Copy(0, batch.Impl(), offset);
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size_t num_elements = result.Copy(FstCU(), batch.Impl(), offset);
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offset += num_elements;
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}
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@@ -172,10 +171,12 @@ TEST(EllpackPage, Copy) {
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EXPECT_EQ(impl->base_rowid, current_row);
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for (size_t i = 0; i < impl->Size(); i++) {
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dh::LaunchN(kCols, ReadRowFunction(impl->GetDeviceAccessor(0), current_row, row_d.data().get()));
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dh::LaunchN(kCols, ReadRowFunction(impl->GetDeviceAccessor(FstCU()), current_row,
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row_d.data().get()));
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thrust::copy(row_d.begin(), row_d.end(), row.begin());
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dh::LaunchN(kCols, ReadRowFunction(result.GetDeviceAccessor(0), current_row, row_result_d.data().get()));
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dh::LaunchN(kCols, ReadRowFunction(result.GetDeviceAccessor(FstCU()), current_row,
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row_result_d.data().get()));
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thrust::copy(row_result_d.begin(), row_result_d.end(), row_result.begin());
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EXPECT_EQ(row, row_result);
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@@ -199,8 +200,7 @@ TEST(EllpackPage, Compact) {
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auto page = (*dmat->GetBatches<EllpackPage>(&ctx, param).begin()).Impl();
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// Create an empty result page.
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EllpackPageImpl result(0, page->Cuts(), page->is_dense, page->row_stride,
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kCompactedRows);
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EllpackPageImpl result(FstCU(), page->Cuts(), page->is_dense, page->row_stride, kCompactedRows);
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// Compact batch pages into the result page.
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std::vector<size_t> row_indexes_h {
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@@ -209,7 +209,7 @@ TEST(EllpackPage, Compact) {
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thrust::device_vector<size_t> row_indexes_d = row_indexes_h;
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common::Span<size_t> row_indexes_span(row_indexes_d.data().get(), kRows);
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for (auto& batch : dmat->GetBatches<EllpackPage>(&ctx, param)) {
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result.Compact(0, batch.Impl(), row_indexes_span);
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result.Compact(FstCU(), batch.Impl(), row_indexes_span);
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}
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size_t current_row = 0;
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@@ -228,13 +228,13 @@ TEST(EllpackPage, Compact) {
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continue;
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}
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dh::LaunchN(kCols, ReadRowFunction(impl->GetDeviceAccessor(0),
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dh::LaunchN(kCols, ReadRowFunction(impl->GetDeviceAccessor(FstCU()),
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current_row, row_d.data().get()));
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dh::safe_cuda(cudaDeviceSynchronize());
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thrust::copy(row_d.begin(), row_d.end(), row.begin());
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dh::LaunchN(kCols,
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ReadRowFunction(result.GetDeviceAccessor(0), compacted_row,
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ReadRowFunction(result.GetDeviceAccessor(FstCU()), compacted_row,
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row_result_d.data().get()));
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thrust::copy(row_result_d.begin(), row_result_d.end(), row_result.begin());
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