Maneesh Gupta
ee582a965c
* Update config_amd_windows.json - Disable failing tests on windows for now * Update hipMallocPitch.cc - Disable failing Unit_hipMallocPitch_Negative test
299 خطوط
9.6 KiB
C++
299 خطوط
9.6 KiB
C++
/*
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Copyright (c) 2022 Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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/*
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Test Scenarios of hipMallocPitch API
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1. Negative Scenarios
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2. Basic Functionality Scenario
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3. Allocate memory using hipMallocPitch API, Launch Kernel validate result.
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4. Allocate Memory in small chunks and large chunks and check for possible memory leaks
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5. Allocate Memory using hipMallocPitch API, Memcpy2D on the allocated variables.
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6. Multithreaded scenario
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*/
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#include <hip_test_common.hh>
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#include <hip_test_checkers.hh>
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#include <hip_test_kernels.hh>
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static constexpr auto SMALLCHUNK_NUMW{4};
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static constexpr auto SMALLCHUNK_NUMH{4};
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static constexpr auto LARGECHUNK_NUMW{1025};
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static constexpr auto LARGECHUNK_NUMH{1000};
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static constexpr auto NUM_W{10};
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static constexpr auto NUM_H{10};
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static constexpr auto COLUMNS{8};
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static constexpr auto ROWS{8};
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static constexpr auto CHUNK_LOOP{100};
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template<typename T>
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__global__ void copy_var(T* A, T* B,
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size_t ROWS, size_t pitch_A) {
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for (uint64_t i = 0; i< ROWS*pitch_A; i= i+pitch_A) {
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A[i] = B[i];
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}
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}
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template<typename T>
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static bool validateResult(T* A, T* B, size_t pitch_A) {
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bool testResult = true;
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for (uint64_t i=0; i < pitch_A*ROWS; i=i+pitch_A) {
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if (A[i] != B[i]) {
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testResult = false;
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break;
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}
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}
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return testResult;
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}
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/*
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* This API verifies memory allocations for small and
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* bigger chunks of data.
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* Two scenarios are verified in this API
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* 1. SmallChunk: Allocates SMALLCHUNK_NUMW in a loop and
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* releases the memory and verifies the meminfo.
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* 2. LargeChunk: Allocates LARGECHUNK_NUMW in a loop and
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* releases the memory and verifies the meminfo
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*
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* In both cases, the memory info before allocation and
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* after releasing the memory should be the same
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*
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*/
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template<typename T>
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static void MemoryAllocDiffSizes(int gpu) {
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HIP_CHECK(hipSetDevice(gpu));
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std::vector<size_t> array_size;
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array_size.push_back(SMALLCHUNK_NUMH);
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array_size.push_back(LARGECHUNK_NUMH);
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for (auto &sizes : array_size) {
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T* A_d[CHUNK_LOOP];
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size_t pitch_A;
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size_t width;
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if (sizes == SMALLCHUNK_NUMH) {
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width = SMALLCHUNK_NUMW * sizeof(T);
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} else {
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width = LARGECHUNK_NUMW * sizeof(T);
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}
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size_t tot, avail, ptot, pavail;
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HIP_CHECK(hipMemGetInfo(&pavail, &ptot));
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for (int i = 0; i < CHUNK_LOOP; i++) {
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HIP_CHECK(hipMallocPitch(reinterpret_cast<void**>(&A_d[i]),
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&pitch_A, width, sizes));
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}
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for (int i = 0; i < CHUNK_LOOP; i++) {
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HIP_CHECK(hipFree(A_d[i]));
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}
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HIP_CHECK(hipMemGetInfo(&avail, &tot));
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if (pavail != avail) {
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HIPASSERT(false);
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}
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}
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}
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/*Thread Function */
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static void threadFunc(int gpu) {
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MemoryAllocDiffSizes<float>(gpu);
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}
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/*
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* This testcase verifies the negative scenarios of hipMallocPitch API
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*/
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#if 0 //TODO: Review, fix and re-enable test
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TEST_CASE("Unit_hipMallocPitch_Negative") {
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float* A_d;
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size_t pitch_A;
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size_t width{NUM_W * sizeof(float)};
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#if HT_NVIDIA
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SECTION("NullPtr to Pitched Ptr") {
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REQUIRE(hipMallocPitch(nullptr,
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&pitch_A, width, NUM_H) != hipSuccess);
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}
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SECTION("nullptr to pitch") {
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REQUIRE(hipMallocPitch(reinterpret_cast<void**>(&A_d),
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nullptr, width, NUM_H) != hipSuccess);
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}
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#endif
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SECTION("Width 0 in hipMallocPitch") {
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REQUIRE(hipMallocPitch(reinterpret_cast<void**>(&A_d),
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&pitch_A, 0, NUM_H) == hipSuccess);
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}
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SECTION("Height 0 in hipMallocPitch") {
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REQUIRE(hipMallocPitch(reinterpret_cast<void**>(&A_d),
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&pitch_A, width, 0) == hipSuccess);
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}
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SECTION("Max int values") {
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REQUIRE(hipMallocPitch(reinterpret_cast<void**>(&A_d),
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&pitch_A, std::numeric_limits<int>::max(),
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std::numeric_limits<int>::max()) != hipSuccess);
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}
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}
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#endif
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/*
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* This testcase verifies the basic scenario of
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* hipMallocPitch API for different datatypes
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*
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*/
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TEMPLATE_TEST_CASE("Unit_hipMallocPitch_Basic",
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"[hipMallocPitch]", int, unsigned int, float) {
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TestType* A_d;
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size_t pitch_A;
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size_t width{NUM_W * sizeof(TestType)};
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REQUIRE(hipMallocPitch(reinterpret_cast<void**>(&A_d),
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&pitch_A, width, NUM_H) == hipSuccess);
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HIP_CHECK(hipFree(A_d));
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}
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/*
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* This testcase verifies hipMallocPitch API for small
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* and big chunks of data.
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*/
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TEMPLATE_TEST_CASE("Unit_hipMallocPitch_SmallandBigChunks",
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"[hipMallocPitch]", int, unsigned int, float) {
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MemoryAllocDiffSizes<TestType>(0);
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}
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/*
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* This testcase verifies the memory allocated by hipMallocPitch API
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* by performing Memcpy2D on the allocated memory.
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*/
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TEMPLATE_TEST_CASE("Unit_hipMallocPitch_Memcpy2D", ""
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, int, float, double) {
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HIP_CHECK(hipSetDevice(0));
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TestType *A_h{nullptr}, *B_h{nullptr}, *C_h{nullptr}, *A_d{nullptr},
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*B_d{nullptr};
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size_t pitch_A, pitch_B;
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size_t width{NUM_W * sizeof(TestType)};
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// Allocating memory
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HipTest::initArrays<TestType>(nullptr, nullptr, nullptr,
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&A_h, &B_h, &C_h, NUM_W*NUM_H, false);
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HIP_CHECK(hipMallocPitch(reinterpret_cast<void**>(&A_d),
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&pitch_A, width, NUM_H));
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HIP_CHECK(hipMallocPitch(reinterpret_cast<void**>(&B_d),
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&pitch_B, width, NUM_H));
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// Initialize the data
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HipTest::setDefaultData<TestType>(NUM_W*NUM_H, A_h, B_h, C_h);
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// Host to Device
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HIP_CHECK(hipMemcpy2D(A_d, pitch_A, A_h, COLUMNS*sizeof(TestType),
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COLUMNS*sizeof(TestType), ROWS, hipMemcpyHostToDevice));
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// Performs D2D on same GPU device
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HIP_CHECK(hipMemcpy2D(B_d, pitch_B, A_d,
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pitch_A, COLUMNS*sizeof(TestType),
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ROWS, hipMemcpyDeviceToDevice));
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// hipMemcpy2D Device to Host
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HIP_CHECK(hipMemcpy2D(B_h, COLUMNS*sizeof(TestType), B_d, pitch_B,
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COLUMNS*sizeof(TestType), ROWS,
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hipMemcpyDeviceToHost));
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// Validating the result
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REQUIRE(HipTest::checkArray<TestType>(A_h, B_h, COLUMNS, ROWS) == true);
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// DeAllocating the memory
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HIP_CHECK(hipFree(A_d));
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HIP_CHECK(hipFree(B_d));
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HipTest::freeArrays<TestType>(nullptr, nullptr, nullptr,
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A_h, B_h, C_h, false);
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}
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/*
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This testcase verifies the hipMallocPitch API in multithreaded
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scenario by launching threads in parallel on multiple GPUs
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and verifies the hipMallocPitch API with small and big chunks data
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*/
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TEST_CASE("Unit_hipMallocPitch_MultiThread", "") {
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std::vector<std::thread> threadlist;
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int devCnt = 0;
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devCnt = HipTest::getDeviceCount();
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size_t tot, avail, ptot, pavail;
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HIP_CHECK(hipMemGetInfo(&pavail, &ptot));
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for (int i = 0; i < devCnt; i++) {
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threadlist.push_back(std::thread(threadFunc, i));
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}
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for (auto &t : threadlist) {
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t.join();
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}
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HIP_CHECK(hipMemGetInfo(&avail, &tot));
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if (pavail != avail) {
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WARN("Memory leak of hipMallocPitch API in multithreaded scenario");
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REQUIRE(false);
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}
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}
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/*
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* This testcase verifies hipMallocPitch API by
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* 1. Allocating Memory using hipMallocPitch API
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* 2. Launching the kernel and copying the data from the allocated kernel
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* variable to another kernel variable.
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* 3. Validating the result
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*/
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TEMPLATE_TEST_CASE("Unit_hipMallocPitch_KernelLaunch", ""
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, int, float, double) {
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HIP_CHECK(hipSetDevice(0));
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TestType *A_h{nullptr}, *B_h{nullptr}, *C_h{nullptr}, *A_d{nullptr},
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*B_d{nullptr};
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size_t pitch_A, pitch_B;
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size_t width{NUM_W * sizeof(TestType)};
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// Allocating memory
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HipTest::initArrays<TestType>(nullptr, nullptr, nullptr,
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&A_h, &B_h, &C_h, NUM_W*NUM_H, false);
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HIP_CHECK(hipMallocPitch(reinterpret_cast<void**>(&A_d),
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&pitch_A, width, NUM_H));
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HIP_CHECK(hipMallocPitch(reinterpret_cast<void**>(&B_d),
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&pitch_B, width, NUM_H));
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// Host to Device
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HIP_CHECK(hipMemcpy2D(A_d, pitch_A, A_h, COLUMNS*sizeof(TestType),
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COLUMNS*sizeof(TestType), ROWS, hipMemcpyHostToDevice));
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hipLaunchKernelGGL(copy_var<TestType>, dim3(1), dim3(1),
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0, 0, static_cast<TestType*>(A_d),
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static_cast<TestType*>(B_d), ROWS, pitch_A);
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// hipMemcpy2D Device to Host
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HIP_CHECK(hipMemcpy2D(B_h, COLUMNS*sizeof(TestType), B_d, pitch_B,
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COLUMNS*sizeof(TestType), ROWS,
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hipMemcpyDeviceToHost));
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// Validating the result
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validateResult(A_h, B_h, pitch_A);
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// DeAllocating the memory
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HIP_CHECK(hipFree(A_d));
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HIP_CHECK(hipFree(B_d));
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HipTest::freeArrays<TestType>(nullptr, nullptr, nullptr,
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A_h, B_h, C_h, false);
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}
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