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*/

/*
hipMalloc3D API test scenarios
1. Basic Functionality
2. Negative Scenarios
3. Allocating Small and big chunk data
4. Multithreaded scenario
*/

#include <hip_test_common.hh>
static constexpr auto SMALL_SIZE{4};
static constexpr auto CHUNK_LOOP{100};
static constexpr auto BIG_SIZE{100};
/*
This API verifies hipMalloc3D API by allocating memory in smaller chunks for
CHUNK_LOOP iterations
*/
static void MemoryAlloc3DDiffSizes(int gpu) {
  HIPCHECK(hipSetDevice(gpu));
  std::vector<size_t> array_size;
  array_size.push_back(SMALL_SIZE);
  array_size.push_back(BIG_SIZE);
  for (auto& sizes : array_size) {
    size_t width = sizes * sizeof(float);
    size_t height{sizes}, depth{sizes};
    hipPitchedPtr devPitchedPtr[CHUNK_LOOP];
    hipExtent extent = make_hipExtent(width, height, depth);
    size_t ptot, pavail;
    HIPCHECK(hipMemGetInfo(&pavail, &ptot));
    for (int i = 0; i < CHUNK_LOOP; i++) {
      HIPCHECK(hipMalloc3D(&devPitchedPtr[i], extent));
    }
    for (int i = 0; i < CHUNK_LOOP; i++) {
      HIPCHECK(hipFree(devPitchedPtr[i].ptr));
    }
  }
}

static void Malloc3DThreadFunc(int gpu) { MemoryAlloc3DDiffSizes(gpu); }

/*
 * This test allocates via hipMalloc3D and deallotes via hipFree().
 * To verify that the returned memory is again available, we use hipMemGetInfo().
 * On Windows, allocating/deallocating small amounts of device memory will not make a difference in
 * the reported available memory because they go into subheaps of size
 * PalSettings::subAllocationChunkSize_ and only whenever we trigger a whole subheap
 *  allocation/deallocation we will see a difference in the reported value.
 * To make sure we make a difference in the reported available memory; we perform small several
 * allocation whose combined size goes over PalSettings::subAllocationChunkSize_;
 * hipMemGetInfo() should indicate the memory went down after we hipFree() all of them
 */
TEST_CASE("Unit_hipMalloc3D_Basic") {
  CHECK_IMAGE_SUPPORT

  static constexpr int ChunkSize = 64;  // (in megabytes)
  static constexpr int NumAllocations = 3;

  size_t width{(ChunkSize * 1024) / NumAllocations}, height{1024}, depth{1};
  hipPitchedPtr devPitchedPtr[NumAllocations];
  hipExtent extent = make_hipExtent(width, height, depth);
  size_t tot, avail, itot, iavail, ptot, pavail;
  HIP_CHECK(hipMemGetInfo(&pavail, &ptot));

  for (int i = 0; i < NumAllocations; i++) {
    REQUIRE(hipMalloc3D(&devPitchedPtr[i], extent) == hipSuccess);
  }

  HIP_CHECK(hipMemGetInfo(&iavail, &itot));

  if (iavail >= pavail)
    WARN(
        "hipMemGetInfo() did not report increased memory usage after calling hipMalloc3D(). "
        "Before: "
        << pavail << " after: " << iavail);

  for (int i = 0; i < NumAllocations; i++) {
    HIPCHECK(hipFree(devPitchedPtr[i].ptr));
  }

  HIP_CHECK(hipMemGetInfo(&avail, &tot));

  // as the runtime might cache some of the allocations and also it is difficult the
  // available amount returned is the same as the one we got the first time because of
  // other processes running on the system; we consider a success if at least a size
  // equivalent to two of the allocations has become available
  // (give or take 4MB, as there is bookkeeping overhead)
  // This test was too brittle before, when it was expecting 'avail' to be equal to 'pavail'
  if (avail < pavail - height * width * depth - 4 * 1024 * 1024) {
    WARN("Memory leak of hipMalloc3D API in multithreaded scenario."
         << " Available memory before the hipMalloc3D() call (bytes): " << pavail
         << " Available memory after the call: " << iavail
         << " Available memory after hipFree(): " << avail);
    REQUIRE(false);
  }
}

/*
This testcase verifies the hipMalloc3D API by allocating
smaller and big chunk data.
*/
TEST_CASE("Unit_hipMalloc3D_SmallandBigChunks") {
  CHECK_IMAGE_SUPPORT

  MemoryAlloc3DDiffSizes(0);
}

/*
This testcase verifies the hipMalloc3D API in multithreaded
scenario by launching threads in parallel on multiple GPUs
and verifies the hipMalloc3D API with small and big chunks data
*/
TEST_CASE("Unit_hipMalloc3D_MultiThread", "[multigpu]") {
  CHECK_IMAGE_SUPPORT

  std::vector<std::thread> threadlist;
  int devCnt = 0;

  devCnt = HipTest::getDeviceCount();

  for (int i = 0; i < devCnt; i++) {
    threadlist.push_back(std::thread(Malloc3DThreadFunc, i));
  }

  for (auto& t : threadlist) {
    t.join();
  }
}