Purge device_helpers.cuh (#5534)

* Simplifications with caching_device_vector

* Purge device helpers
This commit is contained in:
Rory Mitchell
2020-04-15 21:51:56 +12:00
committed by GitHub
parent a2f54963b6
commit ca4e05660e
9 changed files with 182 additions and 733 deletions

View File

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