Purge device_helpers.cuh (#5534)
* Simplifications with caching_device_vector * Purge device helpers
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@@ -27,64 +27,13 @@ void CreateTestData(xgboost::bst_uint num_rows, int max_row_size,
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}
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}
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void TestLbs() {
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srand(17);
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dh::CubMemory temp_memory;
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std::vector<int> test_rows = {4, 100, 1000};
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std::vector<int> test_max_row_sizes = {4, 100, 1300};
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for (auto num_rows : test_rows) {
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for (auto max_row_size : test_max_row_sizes) {
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thrust::host_vector<int> h_row_ptr;
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thrust::host_vector<xgboost::bst_uint> h_rows;
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CreateTestData(num_rows, max_row_size, &h_row_ptr, &h_rows);
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thrust::device_vector<size_t> row_ptr = h_row_ptr;
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thrust::device_vector<int> output_row(h_rows.size());
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auto d_output_row = output_row.data();
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dh::TransformLbs(0, &temp_memory, h_rows.size(), dh::Raw(row_ptr),
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row_ptr.size() - 1, false,
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[=] __device__(size_t idx, size_t ridx) {
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d_output_row[idx] = ridx;
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});
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dh::safe_cuda(cudaDeviceSynchronize());
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ASSERT_TRUE(h_rows == output_row);
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}
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}
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}
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TEST(CubLBS, Test) {
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TestLbs();
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}
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TEST(SumReduce, Test) {
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thrust::device_vector<float> data(100, 1.0f);
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dh::CubMemory temp;
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auto sum = dh::SumReduction(&temp, dh::Raw(data), data.size());
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auto sum = dh::SumReduction(&temp, data.data().get(), data.size());
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ASSERT_NEAR(sum, 100.0f, 1e-5);
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}
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void TestAllocator() {
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int n = 10;
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Span<float> a;
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Span<int> b;
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Span<size_t> c;
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dh::BulkAllocator ba;
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ba.Allocate(0, &a, n, &b, n, &c, n);
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// Should be no illegal memory accesses
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dh::LaunchN(0, n, [=] __device__(size_t idx) { c[idx] = a[idx] + b[idx]; });
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dh::safe_cuda(cudaDeviceSynchronize());
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}
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// Define the test in a function so we can use device lambda
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TEST(BulkAllocator, Test) {
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TestAllocator();
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}
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template <typename T, typename Comp = thrust::less<T>>
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void TestUpperBoundImpl(const std::vector<T> &vec, T val_to_find,
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const Comp &comp = Comp()) {
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