rocm-systems/projects/hip-tests/catch/unit/cooperativeGrps/thread_block_tile.cc

/*
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*/

#include "cooperative_groups_common.hh"
#include "cg_common_kernels.hh"

#include <array>
#include <random>

#include <cmd_options.hh>
#include <cpu_grid.h>
#include <hip_test_common.hh>
#include <hip/hip_cooperative_groups.h>
#include <resource_guards.hh>
#include <utils.hh>


/**
 * @addtogroup thread_block_tile thread_block_tile
 * @{
 * @ingroup DeviceLanguageTest
 * Contains unit tests for all thread_block_tile APIs and dynamic block partitioning
 */

namespace cg = cooperative_groups;

template <bool dynamic, unsigned int tile_size>
__global__ void thread_block_partition_size_getter(unsigned int* sizes) {
  const auto group = cg::this_thread_block();
  if constexpr (dynamic) {
    sizes[thread_rank_in_grid()] = cg::tiled_partition(group, tile_size).size();
  } else {
    cg::thread_block_tile<tile_size> tiled_partition = cg::tiled_partition<tile_size>(group);
    sizes[thread_rank_in_grid()] = tiled_partition.size();
  }
}

template <bool dynamic, unsigned int tile_size>
__global__ void thread_block_partition_thread_rank_getter(unsigned int* thread_ranks) {
  const auto group = cg::this_thread_block();
  if constexpr (dynamic) {
    thread_ranks[thread_rank_in_grid()] = cg::tiled_partition(group, tile_size).thread_rank();
  } else {
    cg::thread_block_tile<tile_size> tiled_partition = cg::tiled_partition<tile_size>(group);
    thread_ranks[thread_rank_in_grid()] = tiled_partition.thread_rank();
  }
}

template <bool dynamic, size_t tile_size> void BlockPartitionGettersBasicTestImpl() {
  DYNAMIC_SECTION("Tile size: " << tile_size) {
    auto blocks = GenerateBlockDimensions();
    auto threads = GenerateThreadDimensions();
    INFO("Grid dimensions: x " << blocks.x << ", y " << blocks.y << ", z " << blocks.z);
    INFO("Block dimensions: x " << threads.x << ", y " << threads.y << ", z " << threads.z);
    CPUGrid grid(blocks, threads);

    const auto alloc_size = grid.thread_count_ * sizeof(unsigned int);
    LinearAllocGuard<unsigned int> uint_arr_dev(LinearAllocs::hipMalloc, alloc_size);
    LinearAllocGuard<unsigned int> uint_arr(LinearAllocs::hipHostMalloc, alloc_size);

    thread_block_partition_size_getter<dynamic, tile_size><<<blocks, threads>>>(uint_arr_dev.ptr());
    HIP_CHECK(hipGetLastError());
    HIP_CHECK(hipMemcpy(uint_arr.ptr(), uint_arr_dev.ptr(), alloc_size, hipMemcpyDeviceToHost));
    HIP_CHECK(hipDeviceSynchronize());
    thread_block_partition_thread_rank_getter<dynamic, tile_size>
        <<<blocks, threads>>>(uint_arr_dev.ptr());
    HIP_CHECK(hipGetLastError());

    ArrayAllOf(uint_arr.ptr(), grid.thread_count_, [&grid](unsigned int i) {
      if constexpr (!dynamic) {
        return tile_size;
      }

      const auto partitions_in_block = (grid.threads_in_block_count_ + tile_size - 1) / tile_size;
      const auto rank_in_block = grid.thread_rank_in_block(i).value();

      const auto tail = partitions_in_block * tile_size - grid.threads_in_block_count_;
      return tile_size - tail * (rank_in_block >= (partitions_in_block - 1) * tile_size);
    });

    HIP_CHECK(hipMemcpy(uint_arr.ptr(), uint_arr_dev.ptr(), alloc_size, hipMemcpyDeviceToHost));
    HIP_CHECK(hipDeviceSynchronize());

    ArrayAllOf(uint_arr.ptr(), grid.thread_count_, [&grid](unsigned int i) {
      return grid.thread_rank_in_block(i).value() % tile_size;
    });
  }
}

template <bool dynamic, size_t... tile_sizes> void BlockPartitionGettersBasicTest() {
  static_cast<void>((BlockPartitionGettersBasicTestImpl<dynamic, tile_sizes>(), ...));
}

/**
 * Test Description
 * ------------------------
 *    - Creates tiled partitions for each of the valid sizes{2, 4, 8, 16, 32, 64(if AMD)} and writes
 * the return values of size and thread_rank member functions to an output array that is validated
 * on the host side.
 * Test source
 * ------------------------
 *    - unit/cooperativeGrps/thread_block_tile.cc
 * Test requirements
 * ------------------------
 *    - HIP_VERSION >= 5.2
 */
TEST_CASE("Unit_Thread_Block_Tile_Getters_Positive_Basic") {
  BlockPartitionGettersBasicTest<false, 2, 4, 8, 16, 32>();
}

/**
 * Test Description
 * ------------------------
 *    - Creates tiled partitions for each of the valid sizes{2, 4, 8, 16, 32, 64(if AMD)} via the
 * dynamic tiled partition api and writes the return values of size and thread_rank member functions
 * to an output array that is validated on host.
 * Test source
 * ------------------------
 *    - unit/cooperativeGrps/thread_block_tile.cc
 * Test requirements
 * ------------------------
 *    - HIP_VERSION >= 5.2
 */
TEST_CASE("Unit_Thread_Block_Tile_Dynamic_Getters_Positive_Basic") {
  BlockPartitionGettersBasicTest<true, 2, 4, 8, 16, 32>();
}


template <typename T, size_t tile_size>
__global__ void block_tile_shfl_up(T* const out, const unsigned int delta) {
  const cg::thread_block_tile<tile_size> partition =
      cg::tiled_partition<tile_size>(cg::this_thread_block());
  T var = static_cast<T>(partition.thread_rank());
  out[thread_rank_in_grid()] = partition.shfl_up(var, delta);
}

template <typename T, size_t tile_size> void BlockTileShflUpTestImpl() {
  DYNAMIC_SECTION("Tile size: " << tile_size) {
    auto blocks = GenerateBlockDimensionsForShuffle();
    auto threads = GenerateThreadDimensionsForShuffle();
    INFO("Grid dimensions: x " << blocks.x << ", y " << blocks.y << ", z " << blocks.z);
    INFO("Block dimensions: x " << threads.x << ", y " << threads.y << ", z " << threads.z);
    auto delta = GENERATE(range(static_cast<size_t>(0), tile_size));
    INFO("Delta: " << delta);
    CPUGrid grid(blocks, threads);

    const auto alloc_size = grid.thread_count_ * sizeof(T);
    LinearAllocGuard<T> arr_dev(LinearAllocs::hipMalloc, alloc_size);
    LinearAllocGuard<T> arr(LinearAllocs::hipHostMalloc, alloc_size);

    block_tile_shfl_up<T, tile_size><<<blocks, threads>>>(arr_dev.ptr(), delta);
    HIP_CHECK(hipGetLastError());
    HIP_CHECK(hipMemcpy(arr.ptr(), arr_dev.ptr(), alloc_size, hipMemcpyDeviceToHost));
    HIP_CHECK(hipDeviceSynchronize());

    ArrayAllOf(arr.ptr(), grid.thread_count_, [delta, &grid](unsigned int i) -> std::optional<T> {
      const int rank_in_partition = grid.thread_rank_in_block(i).value() % tile_size;
      const int target = rank_in_partition - delta;
      return target < 0 ? rank_in_partition : target;
    });
  }
}

template <typename T, size_t... tile_sizes> void BlockTileShflUpTest() {
  static_cast<void>((BlockTileShflUpTestImpl<T, tile_sizes>(), ...));
}

/**
 * Test Description
 * ------------------------
 *    - Validates the shuffle up behavior of thread block tiles of all valid sizes{2, 4, 8, 16, 32,
 * 64(if AMD)} for delta values of [0, tile size). The test is run for all overloads of shfl_up.
 * Test source
 * ------------------------
 *    - unit/cooperativeGrps/thread_block_tile.cc
 * Test requirements
 * ------------------------
 *    - HIP_VERSION >= 5.2
 */
TEMPLATE_TEST_CASE("Unit_Thread_Block_Tile_Shfl_Up_Positive_Basic", "", int, unsigned int, long,
                   unsigned long, long long, unsigned long long, float, double) {
  BlockTileShflUpTest<TestType, 2, 16, 32>();
}


template <typename T, size_t tile_size>
__global__ void block_tile_shfl_down(T* const out, const unsigned int delta) {
  const cg::thread_block_tile<tile_size> partition =
      cg::tiled_partition<tile_size>(cg::this_thread_block());
  T var = static_cast<T>(partition.thread_rank());
  out[thread_rank_in_grid()] = partition.shfl_down(var, delta);
}

template <typename T, size_t tile_size> void BlockTileShflDownTestImpl() {
  DYNAMIC_SECTION("Tile size: " << tile_size) {
    auto blocks = GenerateBlockDimensionsForShuffle();
    auto threads = GenerateThreadDimensionsForShuffle();
    INFO("Grid dimensions: x " << blocks.x << ", y " << blocks.y << ", z " << blocks.z);
    INFO("Block dimensions: x " << threads.x << ", y " << threads.y << ", z " << threads.z);
    auto delta = GENERATE(range(static_cast<size_t>(0), tile_size));
    INFO("Delta: " << delta);
    CPUGrid grid(blocks, threads);

    const auto alloc_size = grid.thread_count_ * sizeof(T);
    LinearAllocGuard<T> arr_dev(LinearAllocs::hipMalloc, alloc_size);
    LinearAllocGuard<T> arr(LinearAllocs::hipHostMalloc, alloc_size);

    block_tile_shfl_down<T, tile_size><<<blocks, threads>>>(arr_dev.ptr(), delta);
    HIP_CHECK(hipGetLastError());
    HIP_CHECK(hipMemcpy(arr.ptr(), arr_dev.ptr(), alloc_size, hipMemcpyDeviceToHost));
    HIP_CHECK(hipDeviceSynchronize());

    ArrayAllOf(arr.ptr(), grid.thread_count_, [delta, &grid](unsigned int i) -> std::optional<T> {
      const auto partitions_in_block = (grid.threads_in_block_count_ + tile_size - 1) / tile_size;
      const auto rank_in_block = grid.thread_rank_in_block(i).value();
      const auto rank_in_group = rank_in_block % tile_size;
      const auto target = rank_in_group + delta;
      if (rank_in_block < (partitions_in_block - 1) * tile_size) {
        return target < tile_size ? target : rank_in_group;
      } else {
        // If the number of threads in a block is not an integer multiple of tile_size, the
        // final(tail end) tile will contain inactive threads.
        // Shuffling from an inactive thread returns an undefined value, accordingly threads that
        // shuffle from one must be skipped
        const auto tail = partitions_in_block * tile_size - grid.threads_in_block_count_;
        return target < tile_size - tail ? std::optional(target) : std::nullopt;
      }
    });
  }
}

template <typename T, size_t... tile_sizes> void BlockTileShflDownTest() {
  static_cast<void>((BlockTileShflDownTestImpl<T, tile_sizes>(), ...));
}

/**
 * Test Description
 * ------------------------
 *    - Validates the shuffle down behavior of thread block tiles of all valid sizes{2, 16,
 * 32, 64(if AMD)} for delta values of [0, tile size). The test is run for all overloads of
 * shfl_down.
 * Test source
 * ------------------------
 *    - unit/cooperativeGrps/thread_block_tile.cc
 * Test requirements
 * ------------------------
 *    - HIP_VERSION >= 5.2
 */
TEMPLATE_TEST_CASE("Unit_Thread_Block_Tile_Shfl_Down_Positive_Basic", "", int, unsigned int, long,
                   unsigned long, long long, unsigned long long, float, double) {
  BlockTileShflDownTest<TestType, 2, 16, 32>();
}


template <typename T, size_t tile_size>
__global__ void block_tile_shfl_xor(T* const out, const unsigned mask) {
  const cg::thread_block_tile<tile_size> partition =
      cg::tiled_partition<tile_size>(cg::this_thread_block());
  T var = static_cast<T>(partition.thread_rank());
  out[thread_rank_in_grid()] = partition.shfl_xor(var, mask);
}

template <typename T, size_t tile_size> void BlockTileShflXORTestImpl() {
  DYNAMIC_SECTION("Tile size: " << tile_size) {
    auto blocks = GenerateBlockDimensionsForShuffle();
    auto threads = GenerateThreadDimensionsForShuffle();
    INFO("Grid dimensions: x " << blocks.x << ", y " << blocks.y << ", z " << blocks.z);
    INFO("Block dimensions: x " << threads.x << ", y " << threads.y << ", z " << threads.z);
    const auto mask = GENERATE(range(static_cast<size_t>(0), tile_size));
    INFO("Mask: 0x" << std::hex << mask);
    CPUGrid grid(blocks, threads);

    const auto alloc_size = grid.thread_count_ * sizeof(T);
    LinearAllocGuard<T> arr_dev(LinearAllocs::hipMalloc, alloc_size);
    LinearAllocGuard<T> arr(LinearAllocs::hipHostMalloc, alloc_size);

    block_tile_shfl_xor<T, tile_size><<<blocks, threads>>>(arr_dev.ptr(), mask);
    HIP_CHECK(hipGetLastError());
    HIP_CHECK(hipMemcpy(arr.ptr(), arr_dev.ptr(), alloc_size, hipMemcpyDeviceToHost));
    HIP_CHECK(hipDeviceSynchronize());

    const auto f = [mask, &grid](unsigned int i) -> std::optional<T> {
      const auto partitions_in_block = (grid.threads_in_block_count_ + tile_size - 1) / tile_size;
      const auto rank_in_block = grid.thread_rank_in_block(i).value();
      const int rank_in_partition = rank_in_block % tile_size;
      const auto target = rank_in_partition ^ mask;
      if (rank_in_block < (partitions_in_block - 1) * tile_size) {
        return target;
      }
      const auto tail = partitions_in_block * tile_size - grid.threads_in_block_count_;
      return target < tile_size - tail ? std::optional(target) : std::nullopt;
    };
    ArrayAllOf(arr.ptr(), grid.thread_count_, f);
  }
}

template <typename T, size_t... tile_sizes> void BlockTileShflXORTest() {
  static_cast<void>((BlockTileShflXORTestImpl<T, tile_sizes>(), ...));
}

/**
 * Test Description
 * ------------------------
 *    - Validates the shuffle xor behavior of thread block tiles of all valid sizes{2, 16, 32,
 * 64(if AMD)} for mask values of [0, tile size). The test is run for all overloads of shfl_xor.
 * Test source
 * ------------------------
 *    - unit/cooperativeGrps/thread_block_tile.cc
 * Test requirements
 * ------------------------
 *    - HIP_VERSION >= 5.2
 */
TEMPLATE_TEST_CASE("Unit_Thread_Block_Tile_Shfl_XOR_Positive_Basic", "", int, unsigned int, long,
                   unsigned long, long long, unsigned long long, float, double) {
  BlockTileShflXORTest<TestType, 2, 16, 32>();
}

template <typename T, size_t tile_size>
__global__ void block_tile_shfl(T* const out, uint8_t* target_lanes) {
  const cg::thread_block_tile<tile_size> partition =
      cg::tiled_partition<tile_size>(cg::this_thread_block());
  T var = static_cast<T>(partition.thread_rank());
  out[thread_rank_in_grid()] = partition.shfl(var, target_lanes[partition.thread_rank()]);
}

static inline std::mt19937& GetRandomGenerator() {
  static std::mt19937 mt(11);
  return mt;
}

template <typename T> static inline T GenerateRandomInteger(const T min, const T max) {
  std::uniform_int_distribution<T> dist(min, max);
  return dist(GetRandomGenerator());
}

template <typename T, size_t tile_size> void BlockTileShflTestImpl() {
  DYNAMIC_SECTION("Tile size: " << tile_size) {
    auto blocks = GenerateBlockDimensionsForShuffle();
    auto threads = GenerateThreadDimensionsForShuffle();
    INFO("Grid dimensions: x " << blocks.x << ", y " << blocks.y << ", z " << blocks.z);
    INFO("Block dimensions: x " << threads.x << ", y " << threads.y << ", z " << threads.z);
    CPUGrid grid(blocks, threads);

    const auto alloc_size = grid.thread_count_ * sizeof(T);
    LinearAllocGuard<T> arr_dev(LinearAllocs::hipMalloc, alloc_size);
    LinearAllocGuard<T> arr(LinearAllocs::hipHostMalloc, alloc_size);

    LinearAllocGuard<uint8_t> target_lanes_dev(LinearAllocs::hipMalloc,
                                               tile_size * sizeof(uint8_t));
    LinearAllocGuard<uint8_t> target_lanes(LinearAllocs::hipHostMalloc,
                                           tile_size * sizeof(uint8_t));
    std::generate(target_lanes.ptr(), target_lanes.ptr() + tile_size,
                  [] { return GenerateRandomInteger(0, static_cast<int>(2 * tile_size)); });

    HIP_CHECK(hipMemcpy(target_lanes_dev.ptr(), target_lanes.ptr(), tile_size * sizeof(uint8_t),
                        hipMemcpyHostToDevice));
    block_tile_shfl<T, tile_size><<<blocks, threads>>>(arr_dev.ptr(), target_lanes_dev.ptr());
    HIP_CHECK(hipGetLastError());
    HIP_CHECK(hipMemcpy(arr.ptr(), arr_dev.ptr(), alloc_size, hipMemcpyDeviceToHost));
    HIP_CHECK(hipDeviceSynchronize());

    const auto f = [&target_lanes, &grid](unsigned int i) -> std::optional<T> {
      const auto partitions_in_block = (grid.threads_in_block_count_ + tile_size - 1) / tile_size;
      const auto rank_in_block = grid.thread_rank_in_block(i).value();
      const int rank_in_partition = rank_in_block % tile_size;
      const auto target = target_lanes.ptr()[rank_in_partition] % tile_size;
      if (rank_in_block < (partitions_in_block - 1) * tile_size) {
        return target;
      }
      const auto tail = partitions_in_block * tile_size - grid.threads_in_block_count_;
      return target < tile_size - tail ? std::optional(target) : std::nullopt;
    };
    ArrayAllOf(arr.ptr(), grid.thread_count_, f);
  }
}

template <typename T, size_t... tile_sizes> void BlockTileShflTest() {
  static_cast<void>((BlockTileShflTestImpl<T, tile_sizes>(), ...));
}

/**
 * Test Description
 * ------------------------
 *    - Validates the shuffle behavior of thread block tiles of all valid sizes{2, 16, 32,
 * 64(if AMD)} for generated shuffle target lanes. The test is run for all overloads of shfl. Test
 * source
 * ------------------------
 *    - unit/cooperativeGrps/thread_block_tile.cc
 * Test requirements
 * ------------------------
 *    - HIP_VERSION >= 5.2
 */
TEMPLATE_TEST_CASE("Unit_Thread_Block_Tile_Shfl_Positive_Basic", "", int, unsigned int, long,
                   unsigned long, long long, unsigned long long, float, double) {
  BlockTileShflTest<TestType, 2, 16, 32>();
}


template <bool use_global, size_t tile_size, typename T>
__global__ void block_tile_sync_check(T* global_data, unsigned int* wait_modifiers) {
  extern __shared__ uint8_t shared_data[];
  T* const data = use_global ? global_data : reinterpret_cast<T*>(shared_data);
  const auto tid = cg::this_grid().thread_rank();
  const auto block = cg::this_thread_block();
  const cg::thread_block_tile<tile_size> partition =
      cg::tiled_partition<tile_size>(cg::this_thread_block());

  const auto data_idx = [&block](unsigned int i) { return use_global ? i : (i % block.size()); };

  const auto partitions_in_block = (block.size() + partition.size() - 1) / partition.size();
  const auto partition_rank = block.thread_rank() / partition.size();
  const auto tail = partitions_in_block * partition.size() - block.size();
  const auto window_size = partition.size() - tail * (partition_rank == partitions_in_block - 1);

  const auto block_base_idx = tid / block.size() * block.size();
  const auto tile_base_idx = block_base_idx + partition_rank * partition.size();

  const auto wait_modifier = wait_modifiers[tid];
  busy_wait(wait_modifier);
  data[data_idx(tid)] = partition.thread_rank();
  partition.sync();
  bool valid = true;
  for (auto i = 0; i < window_size; ++i) {
    const auto expected = (partition.thread_rank() + i) % window_size;

    if (!(valid &= (data[data_idx(tile_base_idx + expected)] == expected))) {
      break;
    }
  }
  partition.sync();
  data[data_idx(tid)] = valid;
  if constexpr (!use_global) {
    global_data[tid] = data[data_idx(tid)];
  }
}

template <bool global_memory, typename T, size_t tile_size> void BlockTileSyncTestImpl() {
  DYNAMIC_SECTION("Tile size: " << tile_size) {
    const auto randomized_run_count = GENERATE(range(0, cmd_options.cg_iterations));
    INFO("Run number: " << randomized_run_count + 1);
    auto blocks = GenerateBlockDimensions();
    auto threads = GenerateThreadDimensions();
    INFO("Grid dimensions: x " << blocks.x << ", y " << blocks.y << ", z " << blocks.z);
    INFO("Block dimensions: x " << threads.x << ", y " << threads.y << ", z " << threads.z);
    CPUGrid grid(blocks, threads);

    const auto alloc_size = grid.thread_count_ * sizeof(T);
    const auto alloc_size_per_block = alloc_size / grid.block_count_;
    int max_shared_mem_per_block = 0;
    HIP_CHECK(hipDeviceGetAttribute(&max_shared_mem_per_block,
                                    hipDeviceAttributeMaxSharedMemoryPerBlock, 0));
    if (!global_memory && (max_shared_mem_per_block < alloc_size_per_block)) {
      return;
    }

    LinearAllocGuard<T> arr_dev(LinearAllocs::hipMalloc, alloc_size);
    LinearAllocGuard<T> arr(LinearAllocs::hipHostMalloc, alloc_size);
    LinearAllocGuard<unsigned int> wait_modifiers_dev(LinearAllocs::hipMalloc,
                                                      grid.thread_count_ * sizeof(unsigned int));
    LinearAllocGuard<unsigned int> wait_modifiers(LinearAllocs::hipHostMalloc,
                                                  grid.thread_count_ * sizeof(unsigned int));
    if (randomized_run_count != 0) {
      std::generate(wait_modifiers.ptr(), wait_modifiers.ptr() + grid.thread_count_,
                    [] { return GenerateRandomInteger(0u, 1500u); });
    } else {
      std::fill_n(wait_modifiers.ptr(), grid.thread_count_, 0u);
    }

    const auto shared_memory_size = global_memory ? 0u : alloc_size_per_block;
    HIP_CHECK(hipMemcpy(wait_modifiers_dev.ptr(), wait_modifiers.ptr(),
                        grid.thread_count_ * sizeof(unsigned int), hipMemcpyHostToDevice));

    block_tile_sync_check<global_memory, tile_size>
        <<<blocks, threads, shared_memory_size>>>(arr_dev.ptr(), wait_modifiers_dev.ptr());
    HIP_CHECK(hipGetLastError());

    HIP_CHECK(hipMemcpy(arr.ptr(), arr_dev.ptr(), alloc_size, hipMemcpyDeviceToHost));
    HIP_CHECK(hipDeviceSynchronize());

    REQUIRE(
        std::all_of(arr.ptr(), arr.ptr() + grid.thread_count_, [](unsigned int e) { return e; }));
  }
}

template <bool global_memory, typename T, size_t... tile_sizes> void BlockTileSyncTest() {
  static_cast<void>((BlockTileSyncTestImpl<global_memory, T, tile_sizes>(), ...));
}

/**
 * Test Description
 * ------------------------
 *    - Launches a kernel wherein blocks are divided into tiled partitions(size of 2, 4, 8, 16, 32,
 * 64 if AMD) and every thread writes its intra-tile rank into an array slot determined by its
 * grid-wide linear index. The array is either in global or dynamic shared memory based on a compile
 * time switch, and the test is run for arrays of 1, 2, and 4 byte elements. Before the write each
 * thread executes a busy wait loop for a random amount of clock cycles, the amount being read from
 * an input array. After the write a tile-wide sync is performed and each thread validates that it
 * can read the expected values that other threads within the same tile have written to their
 * respective array slots.
 * Test source
 * ------------------------
 *    - unit/cooperativeGrps/thread_block_tile.cc
 * Test requirements
 * ------------------------
 *    - HIP_VERSION >= 5.2
 */
TEMPLATE_TEST_CASE("Unit_Thread_Block_Tile_Sync_Positive_Basic", "", uint8_t, uint16_t, uint32_t) {
  SECTION("Global memory") { BlockTileSyncTest<true, TestType, 2, 16, 32>(); }
  SECTION("Shared memory") { BlockTileSyncTest<false, TestType, 2, 16, 32>(); }
}

/**
 * End doxygen group DeviceLanguageTest.
 * @}
 */