rocm-systems/catch/unit/memory/hipArrayCreate.cc

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*/

/*
hipArrayCreate API test scenarios
1. Negative Scenarios
2. Allocating Small and big chunk data
3. Multithreaded scenario
*/

#include <hip_test_common.hh>

static constexpr auto NUM_W{4};
static constexpr auto BIGNUM_W{100};
static constexpr auto NUM_H{4};
static constexpr auto BIGNUM_H{100};
static constexpr auto ARRAY_LOOP{100};

/*
 * This API verifies  memory allocations for small and
 * bigger chunks of data.
 * Two scenarios are verified in this API
 * 1. SmallArray: Allocates NUM_W*NUM_H in a loop and
 *    releases the memory and verifies the meminfo.
 * 2. BigArray: Allocates BIGNUM_W*BIGNUM_H in a loop and
 *    releases the memory and verifies the meminfo
 *
 * In both cases, the memory info before allocation and
 * after releasing the memory should be the same.
 *
 */

static void ArrayCreate_DiffSizes(int gpu) {
  HIP_CHECK(hipSetDevice(gpu));
  std::vector<size_t> array_size;
  array_size.push_back(NUM_W);
  array_size.push_back(BIGNUM_W);
  for (auto &size : array_size) {
    HIP_ARRAY array[ARRAY_LOOP];
    size_t tot, avail, ptot, pavail;
    HIP_CHECK(hipMemGetInfo(&pavail, &ptot));
    for (int i = 0; i < ARRAY_LOOP; i++) {
      HIP_ARRAY_DESCRIPTOR desc;
      desc.NumChannels = 1;
      if (size == NUM_W) {
        desc.Width = NUM_W;
        desc.Height = NUM_H;
      } else {
        desc.Width = BIGNUM_W;
        desc.Height = BIGNUM_H;
      }
      desc.Format = HIP_AD_FORMAT_FLOAT;
      HIP_CHECK(hipArrayCreate(&array[i], &desc));
    }
    for (int i = 0; i < ARRAY_LOOP; i++) {
      ARRAY_DESTROY(array[i]);
    }
    HIP_CHECK(hipMemGetInfo(&avail, &tot));
    if ((pavail != avail)) {
      HIPASSERT(false);
    }
  }
}

/*Thread function*/
static void ArrayCreateThreadFunc(int gpu) {
  ArrayCreate_DiffSizes(gpu);
}

/* This testcase verifies hipArrayCreate API for small and big chunks data*/
TEST_CASE("Unit_hipArrayCreate_DiffSizes") {
  ArrayCreate_DiffSizes(0);
}


/* This testcase verifies the negative scenarios of
 * hipArrayCreate API
 */
TEST_CASE("Unit_hipArrayCreate_Negative") {
  HIP_ARRAY_DESCRIPTOR desc;
  HIP_ARRAY array;
  desc.Format = HIP_AD_FORMAT_FLOAT;
  desc.NumChannels = 1;
  desc.Width = NUM_W;
  desc.Height = NUM_H;
#if HT_NVIDIA
  SECTION("NullPointer to Array") {
    REQUIRE(hipArrayCreate(nullptr, &desc) != hipSuccess);
  }

  SECTION("NullPointer to Channel Descriptor") {
    REQUIRE(hipArrayCreate(&array, nullptr) != hipSuccess);
  }
#endif
  SECTION("Width 0 for Array Descriptor") {
    desc.Width = 0;
    REQUIRE(hipArrayCreate(&array, &desc) != hipSuccess);
  }

  SECTION("Invalid NumChannels") {
    desc.NumChannels = 3;
    REQUIRE(hipArrayCreate(&array, &desc) != hipSuccess);
  }
}
/*
This testcase verifies the hipArrayCreate API in multithreaded
scenario by launching threads in parallel on multiple GPUs
and verifies the hipArrayCreate API with small and big chunks data
*/
TEST_CASE("Unit_hipArrayCreate_MultiThread") {
  std::vector<std::thread> threadlist;
  int devCnt = 0;

  devCnt = HipTest::getDeviceCount();

  size_t tot, avail, ptot, pavail;
  HIP_CHECK(hipMemGetInfo(&pavail, &ptot));
  for (int i = 0; i < devCnt; i++) {
    threadlist.push_back(std::thread(ArrayCreateThreadFunc, i));
  }

  for (auto &t : threadlist) {
    t.join();
  }
  HIP_CHECK(hipMemGetInfo(&avail, &tot));

  if (pavail != avail) {
    WARN("Memory leak of hipMalloc3D API in multithreaded scenario");
    REQUIRE(false);
  }
}