SWDEV-298757 - Moved long running tests into stress category. (#2461)
Этот коммит содержится в:
@@ -1,5 +1,5 @@
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/*
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Copyright (c) 2021 Advanced Micro Devices, Inc. All rights reserved.
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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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@@ -19,6 +19,15 @@
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// The following test case allocation, host access, device access of HMM
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// memory from size 1 to 10KB
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/* Test Case Description:
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1) Testing allocation, host access, device access of HMM
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memory from size 1 to 10KB
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2) The following test case tests the behavior of kernel with a HMM memory
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and hipMalloc memory
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3) The following test case tests when the same Hmm memory is used for
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launching multiple different kernels will results in any issue
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4) Testing the allocation of/scenarios around max possible memory
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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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@@ -35,6 +44,86 @@ __global__ void KrnlWth2MemTypesC(unsigned char *Hmm, unsigned char *Dptr,
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}
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static bool IfTestPassed = true;
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// Kernel functions
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__global__ void KrnlWth2MemTypes(int *Hmm, int *Dptr, size_t n) {
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size_t index = blockIdx.x * blockDim.x + threadIdx.x;
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for (size_t i = index; i < n; i++) {
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Hmm[i] = Dptr[i] + 10;
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}
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}
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__global__ void KernelMulAdd_MngdMem(int *Hmm, size_t n) {
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size_t index = blockIdx.x * blockDim.x + threadIdx.x;
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size_t stride = blockDim.x * gridDim.x;
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for (size_t i = index; i < n; i += stride) {
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Hmm[i] = Hmm[i] * 2 + 10;
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}
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}
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__global__ void KernelMul_MngdMem(int *Hmm, int *Dptr, size_t n) {
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size_t index = blockIdx.x * blockDim.x + threadIdx.x;
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size_t stride = blockDim.x * gridDim.x;
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for (size_t i = index; i < n; i += stride) {
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Hmm[i] = Dptr[i] * 10;
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}
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}
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static bool IfTestPassed = true;
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static void LaunchKrnl4(size_t NumElms, int InitVal) {
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int *Hmm = NULL, *Dptr = NULL, blockSize = 64, DataMismatch = 0;
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hipStream_t strm;
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HIP_CHECK(hipStreamCreate(&strm));
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HIP_CHECK(hipMallocManaged(&Hmm, (sizeof(int) * NumElms)));
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HIP_CHECK(hipMalloc(&Dptr, (sizeof(int) * NumElms)));
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int *Hstptr = reinterpret_cast<int*>(new int[NumElms]);
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for (size_t i = 0; i < NumElms; ++i) {
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Hstptr[i] = InitVal;
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}
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HIP_CHECK(hipMemcpy(Dptr, Hstptr, (NumElms * sizeof(int)),
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hipMemcpyHostToDevice));
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dim3 dimBlock(blockSize, 1, 1);
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dim3 dimGrid((NumElms + blockSize -1)/blockSize, 1, 1);
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KrnlWth2MemTypes<<<dimGrid, dimBlock, 0, strm>>>(Hmm, Dptr, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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for (size_t i = 0; i < NumElms; ++i) {
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if (Hmm[i] != (InitVal + 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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INFO("Data Mismatch observed after the Kernel: KrnlWth2MemTypes!!\n");
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REQUIRE(false);
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}
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DataMismatch = 0;
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KernelMul_MngdMem<<<dimGrid, dimBlock, 0, strm>>>(Hmm, Dptr, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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// Verifying the result
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for (size_t i = 0; i < NumElms; ++i) {
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if (Hmm[i] != (InitVal * 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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INFO("Data Mismatch observedafter the Kernel: KernelMul_MngdMem!!\n");
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REQUIRE(false);
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}
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DataMismatch = 0;
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KernelMulAdd_MngdMem<<<dimGrid, dimBlock, 0, strm>>>(Hmm, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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// Verifying the result
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for (size_t i = 0; i < NumElms; ++i) {
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if (Hmm[i] != (InitVal * 10 * 2 + 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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INFO("Data Mismatch observedafter the Kernel: KernelMul_MngdMem!!\n");
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REQUIRE(false);
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}
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delete[] Hstptr;
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}
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static int HmmAttrPrint() {
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int managed = 0;
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INFO("The following are the attribute values related to HMM for"
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@@ -104,3 +193,139 @@ TEST_CASE("Unit_hipMallocManaged_MultiSize") {
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}
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}
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// The following test case tests the behavior of kernel with a HMM memory and
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// hipMalloc memory
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TEST_CASE("Unit_hipMallocManaged_KrnlWth2MemTypes") {
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IfTestPassed = true;
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int *Hmm = NULL, *Dptr = NULL, InitVal = 123;
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size_t NumElms = (1024 * 1024);
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int *Hptr = new int[NumElms], blockSize = 64, DataMismatch = 0;
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int managed = HmmAttrPrint();
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if (managed == 1) {
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hipStream_t strm;
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HIP_CHECK(hipStreamCreate(&strm));
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HIP_CHECK(hipMallocManaged(&Hmm, sizeof(int) * NumElms));
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HIP_CHECK(hipMalloc(&Dptr, sizeof(int) * NumElms));
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for (size_t i = 0; i < NumElms; ++i) {
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Hmm[i] = 0;
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Hptr[i] = InitVal;
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}
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HIP_CHECK(hipMemcpy(Dptr, Hptr, sizeof(int) * NumElms,
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hipMemcpyHostToDevice));
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dim3 dimBlock(blockSize, 1, 1);
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dim3 dimGrid((NumElms + blockSize -1)/blockSize, 1, 1);
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KrnlWth2MemTypes<<<dimGrid, dimBlock, 0, strm>>>(Hmm, Dptr, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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// Verifying the results
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for (size_t k = 0; k < NumElms; ++k) {
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if (Hmm[k] != (InitVal + 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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WARN("DataMismatch observed!\n");
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IfTestPassed = false;
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}
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HIP_CHECK(hipFree(Hmm));
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HIP_CHECK(hipFree(Dptr));
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delete[] Hptr;
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REQUIRE(IfTestPassed);
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} else {
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SUCCEED("GPU 0 doesn't support hipDeviceAttributeManagedMemory "
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"attribute. Hence skipping the testing with Pass result.\n");
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}
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}
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// The following test case tests when the same Hmm memory is used for
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// launching multiple different kernels will results in any issue
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TEST_CASE("Unit_hipMallocManaged_MultiKrnlHmmAccess") {
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int managed = HmmAttrPrint();
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if (managed) {
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int InitVal = 123, NumElms = (1024 * 1024);
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LaunchKrnl4(NumElms, InitVal);
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} else {
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SUCCEED("GPU 0 doesn't support hipDeviceAttributeManagedMemory "
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"attribute. Hence skipping the testing with Pass result.\n");
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}
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}
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// Testing the allocation of/scenarios around max possible memory
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TEST_CASE("Unit_hipMallocManaged_ExtremeSizes") {
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int managed = HmmAttrPrint();
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if (managed == 1) {
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bool IfTestPassed = true;
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hipError_t err;
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void *Hmm = NULL;
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size_t totalDevMem = 0, freeDevMem = 0;
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int NumDevs = 0;
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HIP_CHECK(hipGetDeviceCount(&NumDevs));
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// Testing allocation of extreme and unusual mem values
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for (int i = 0; i < NumDevs; i++) {
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HIP_CHECK(hipSetDevice(i));
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HIP_CHECK(hipMemGetInfo(&freeDevMem, &totalDevMem));
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err = hipMallocManaged(&Hmm, 1, hipMemAttachGlobal);
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if (hipSuccess == err) {
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HIP_CHECK(hipFree(Hmm));
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} else {
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WARN("Observed error while allocating memory on GPU: " << i);
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WARN(" size 1 with");
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WARN(" hipMallocManaged() api with flag 'hipMemAttachGlobal'\n");
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WARN("Error: " << hipGetErrorString(err));
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IfTestPassed = false;
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}
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err = hipMallocManaged(&Hmm, freeDevMem, hipMemAttachGlobal);
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if (hipSuccess == err) {
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HIP_CHECK(hipFree(Hmm));
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} else {
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WARN("Observed error while allocating max free memory on GPU: " << i);
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WARN(" with hipMallocManaged() api with flag 'hipMemAttachGlobal'\n");
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WARN("Error: " << hipGetErrorString(err));
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IfTestPassed = false;
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}
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err = hipMallocManaged(&Hmm, (freeDevMem - 1), hipMemAttachGlobal);
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if (hipSuccess == err) {
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HIP_CHECK(hipFree(Hmm));
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} else {
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WARN("Observed error while allocating max (free - 1) memory on ");
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WARN("GPU: " << i);
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WARN(" using hipMallocManaged() api with flag 'hipMemAttachGlobal'\n");
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WARN("Error: " << hipGetErrorString(err));
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IfTestPassed = false;
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}
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err = hipMallocManaged(&Hmm, 1, hipMemAttachHost);
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if (hipSuccess == err) {
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HIP_CHECK(hipFree(Hmm));
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} else {
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WARN("Observed error while allocating memory size 1 on GPU: " << i);
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WARN(" with hipMallocManaged() api with flag 'hipMemAttachHost'\n");
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WARN("Error: " << hipGetErrorString(err));
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IfTestPassed = false;
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}
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err = hipMallocManaged(&Hmm, freeDevMem, hipMemAttachHost);
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if (hipSuccess == err) {
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HIP_CHECK(hipFree(Hmm));
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} else {
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WARN("Observed error while allocating max free memory on GPU: " << i);
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WARN(" with hipMallocManaged() api with flag 'hipMemAttachHost'\n");
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WARN("Error: " << hipGetErrorString(err));
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IfTestPassed = false;
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}
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err = hipMallocManaged(&Hmm, (freeDevMem - 1), hipMemAttachHost);
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if (hipSuccess == err) {
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HIP_CHECK(hipFree(Hmm));
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} else {
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WARN("Observed error while allocating max (freeDevMem - 1) memory"
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" on GPU: " << i);
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WARN(" with hipMallocManaged() api with flag 'hipMemAttachHost'\n");
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WARN("Error: " << hipGetErrorString(err));
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IfTestPassed = false;
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}
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}
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REQUIRE(IfTestPassed);
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} else {
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SUCCEED("Gpu doesnt support HMM! Hence skipping the test with PASS result");
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}
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}
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@@ -17,12 +17,11 @@
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THE SOFTWARE.
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*/
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/*
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List of Test cases:
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1) Unit_hipMallocManaged_Basic
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2) Unit_hipMallocManaged_MultiSize
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3) Unit_hipMallocManaged_MultiKrnlHmmAccess
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4) Unit_hipMallocManaged_KrnlWth2MemTypes
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/* Test Case Description:
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1) This testcase verifies the hipMallocManaged basic scenario - supported on
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all devices
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2) This testcase verifies the hipMallocManaged basic scenario - supported
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only on HMM enabled devices
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*/
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#include <hip_test_common.hh>
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@@ -32,12 +31,6 @@
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// Kernel functions
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__global__ void KrnlWth2MemTypes(int *Hmm, int *Dptr, size_t n) {
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size_t index = blockIdx.x * blockDim.x + threadIdx.x;
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for (size_t i = index; i < n; i++) {
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Hmm[i] = Dptr[i] + 10;
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}
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}
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__global__ void KernelMul_MngdMem(int *Hmm, int *Dptr, size_t n) {
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size_t index = blockIdx.x * blockDim.x + threadIdx.x;
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@@ -64,9 +57,6 @@ __global__ void KrnlWth2MemTypesC(unsigned char *Hmm, unsigned char *Dptr,
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}
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}
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// The following variable will be used to get the result of computation
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// from multiple threads
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static bool IfTestPassed = true;
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static int HmmAttrPrint() {
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int managed = 0;
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@@ -93,62 +83,6 @@ static int HmmAttrPrint() {
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}
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static void LaunchKrnl4(size_t NumElms, int InitVal) {
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int *Hmm = NULL, *Dptr = NULL, blockSize = 64, DataMismatch = 0;
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hipStream_t strm;
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HIP_CHECK(hipStreamCreate(&strm));
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HIP_CHECK(hipMallocManaged(&Hmm, (sizeof(int) * NumElms)));
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HIP_CHECK(hipMalloc(&Dptr, (sizeof(int) * NumElms)));
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int *Hstptr = reinterpret_cast<int*>(new int[NumElms]);
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for (size_t i = 0; i < NumElms; ++i) {
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Hstptr[i] = InitVal;
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}
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HIP_CHECK(hipMemcpy(Dptr, Hstptr, (NumElms * sizeof(int)),
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hipMemcpyHostToDevice));
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dim3 dimBlock(blockSize, 1, 1);
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dim3 dimGrid((NumElms + blockSize -1)/blockSize, 1, 1);
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KrnlWth2MemTypes<<<dimGrid, dimBlock, 0, strm>>>(Hmm, Dptr, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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for (size_t i = 0; i < NumElms; ++i) {
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if (Hmm[i] != (InitVal + 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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INFO("Data Mismatch observed after the Kernel: KrnlWth2MemTypes!!\n");
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REQUIRE(false);
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}
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DataMismatch = 0;
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KernelMul_MngdMem<<<dimGrid, dimBlock, 0, strm>>>(Hmm, Dptr, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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// Verifying the result
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for (size_t i = 0; i < NumElms; ++i) {
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if (Hmm[i] != (InitVal * 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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INFO("Data Mismatch observedafter the Kernel: KernelMul_MngdMem!!\n");
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REQUIRE(false);
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}
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DataMismatch = 0;
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KernelMulAdd_MngdMem<<<dimGrid, dimBlock, 0, strm>>>(Hmm, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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// Verifying the result
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for (size_t i = 0; i < NumElms; ++i) {
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if (Hmm[i] != (InitVal * 10 * 2 + 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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INFO("Data Mismatch observedafter the Kernel: KernelMul_MngdMem!!\n");
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REQUIRE(false);
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}
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delete[] Hstptr;
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}
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static size_t N{4 * 1024 * 1024};
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static unsigned blocksPerCU{6};
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@@ -241,104 +175,3 @@ TEST_CASE("Unit_hipMallocManaged_Advanced") {
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}
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}
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// The following test case tests the behavior of kernel with a HMM memory and
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// hipMalloc memory
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TEST_CASE("Unit_hipMallocManaged_KrnlWth2MemTypes") {
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IfTestPassed = true;
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int *Hmm = NULL, *Dptr = NULL, InitVal = 123;
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size_t NumElms = (1024 * 1024);
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int *Hptr = new int[NumElms], blockSize = 64, DataMismatch = 0;
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int managed = HmmAttrPrint();
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if (managed == 1) {
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hipStream_t strm;
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HIP_CHECK(hipStreamCreate(&strm));
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HIP_CHECK(hipMallocManaged(&Hmm, sizeof(int) * NumElms));
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HIP_CHECK(hipMalloc(&Dptr, sizeof(int) * NumElms));
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for (size_t i = 0; i < NumElms; ++i) {
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Hmm[i] = 0;
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Hptr[i] = InitVal;
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}
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HIP_CHECK(hipMemcpy(Dptr, Hptr, sizeof(int) * NumElms,
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hipMemcpyHostToDevice));
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dim3 dimBlock(blockSize, 1, 1);
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dim3 dimGrid((NumElms + blockSize -1)/blockSize, 1, 1);
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KrnlWth2MemTypes<<<dimGrid, dimBlock, 0, strm>>>(Hmm, Dptr, NumElms);
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HIP_CHECK(hipStreamSynchronize(strm));
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// Verifying the results
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for (size_t k = 0; k < NumElms; ++k) {
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if (Hmm[k] != (InitVal + 10)) {
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DataMismatch++;
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}
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}
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if (DataMismatch != 0) {
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WARN("DataMismatch observed!\n");
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IfTestPassed = false;
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}
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HIP_CHECK(hipFree(Hmm));
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HIP_CHECK(hipFree(Dptr));
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delete[] Hptr;
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REQUIRE(IfTestPassed);
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} else {
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SUCCEED("GPU 0 doesn't support hipDeviceAttributeManagedMemory "
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"attribute. Hence skipping the testing with Pass result.\n");
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}
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}
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// The following test case tests when the same Hmm memory is used for
|
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// launching multiple different kernels will results in any issue
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TEST_CASE("Unit_hipMallocManaged_MultiKrnlHmmAccess") {
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int managed = HmmAttrPrint();
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if (managed) {
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int InitVal = 123, NumElms = (1024 * 1024);
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LaunchKrnl4(NumElms, InitVal);
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} else {
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SUCCEED("GPU 0 doesn't support hipDeviceAttributeManagedMemory "
|
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"attribute. Hence skipping the testing with Pass result.\n");
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}
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}
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// The following test case allocation, host access, device access of HMM
|
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// memory from size 1 to 10KB
|
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|
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TEST_CASE("Unit_hipMallocManaged_MultiSize") {
|
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IfTestPassed = true;
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int managed = HmmAttrPrint();
|
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if (managed == 1) {
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unsigned char *Hmm1 = NULL, *Hmm2 = NULL;
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int InitVal = 100, blockSize = 64, DataMismatch = 0;
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hipStream_t strm;
|
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HIP_CHECK(hipStreamCreate(&strm));
|
||||
dim3 dimBlock(blockSize, 1, 1);
|
||||
for (int i = 1; i < (1024*1024); ++i) {
|
||||
HIP_CHECK(hipMallocManaged(&Hmm1, i));
|
||||
HIP_CHECK(hipMallocManaged(&Hmm2, i));
|
||||
for (int j = 0; j < i; ++j) {
|
||||
Hmm1[j] = InitVal;
|
||||
}
|
||||
dim3 dimGrid((i + blockSize -1)/blockSize, 1, 1);
|
||||
KrnlWth2MemTypesC<<<dimGrid, dimBlock, 0, strm>>>(Hmm2, Hmm1, i);
|
||||
HIP_CHECK(hipStreamSynchronize(strm));
|
||||
// Verifying the results
|
||||
for (int k = 0; k < i; ++k) {
|
||||
if (Hmm2[k] != (InitVal + 10)) {
|
||||
DataMismatch++;
|
||||
}
|
||||
}
|
||||
if (DataMismatch != 0) {
|
||||
WARN("DataMismatch observed!\n");
|
||||
IfTestPassed = false;
|
||||
}
|
||||
DataMismatch = 0;
|
||||
HIP_CHECK(hipFree(Hmm1));
|
||||
HIP_CHECK(hipFree(Hmm2));
|
||||
REQUIRE(IfTestPassed);
|
||||
}
|
||||
} else {
|
||||
SUCCEED("GPU 0 doesn't support hipDeviceAttributeManagedMemory "
|
||||
"attribute. Hence skipping the testing with Pass result.\n");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -262,79 +262,3 @@ TEST_CASE("Unit_hipMallocManaged_AccessMultiStream") {
|
||||
}
|
||||
}
|
||||
|
||||
TEST_CASE("Unit_hipMallocManaged_ExtremeSizes") {
|
||||
int managed = HmmAttrPrint();
|
||||
if (managed == 1) {
|
||||
bool IfTestPassed = true;
|
||||
hipError_t err;
|
||||
void *Hmm = NULL;
|
||||
size_t totalDevMem = 0, freeDevMem = 0;
|
||||
int NumDevs = 0;
|
||||
HIP_CHECK(hipGetDeviceCount(&NumDevs));
|
||||
// Testing allocation of extreme and unusual mem values
|
||||
for (int i = 0; i < NumDevs; i++) {
|
||||
HIP_CHECK(hipSetDevice(i));
|
||||
HIP_CHECK(hipMemGetInfo(&freeDevMem, &totalDevMem));
|
||||
err = hipMallocManaged(&Hmm, 1, hipMemAttachGlobal);
|
||||
if (hipSuccess == err) {
|
||||
HIP_CHECK(hipFree(Hmm));
|
||||
} else {
|
||||
WARN("Observed error while allocating memory on GPU: " << i);
|
||||
WARN(" size 1 with");
|
||||
WARN(" hipMallocManaged() api with flag 'hipMemAttachGlobal'\n");
|
||||
WARN("Error: " << hipGetErrorString(err));
|
||||
IfTestPassed = false;
|
||||
}
|
||||
err = hipMallocManaged(&Hmm, freeDevMem, hipMemAttachGlobal);
|
||||
if (hipSuccess == err) {
|
||||
HIP_CHECK(hipFree(Hmm));
|
||||
} else {
|
||||
WARN("Observed error while allocating max free memory on GPU: " << i);
|
||||
WARN(" with hipMallocManaged() api with flag 'hipMemAttachGlobal'\n");
|
||||
WARN("Error: " << hipGetErrorString(err));
|
||||
IfTestPassed = false;
|
||||
}
|
||||
err = hipMallocManaged(&Hmm, (freeDevMem - 1), hipMemAttachGlobal);
|
||||
if (hipSuccess == err) {
|
||||
HIP_CHECK(hipFree(Hmm));
|
||||
} else {
|
||||
WARN("Observed error while allocating max (free - 1) memory on ");
|
||||
WARN("GPU: " << i);
|
||||
WARN(" using hipMallocManaged() api with flag 'hipMemAttachGlobal'\n");
|
||||
WARN("Error: " << hipGetErrorString(err));
|
||||
IfTestPassed = false;
|
||||
}
|
||||
err = hipMallocManaged(&Hmm, 1, hipMemAttachHost);
|
||||
if (hipSuccess == err) {
|
||||
HIP_CHECK(hipFree(Hmm));
|
||||
} else {
|
||||
WARN("Observed error while allocating memory size 1 on GPU: " << i);
|
||||
WARN(" with hipMallocManaged() api with flag 'hipMemAttachHost'\n");
|
||||
WARN("Error: " << hipGetErrorString(err));
|
||||
IfTestPassed = false;
|
||||
}
|
||||
err = hipMallocManaged(&Hmm, freeDevMem, hipMemAttachHost);
|
||||
if (hipSuccess == err) {
|
||||
HIP_CHECK(hipFree(Hmm));
|
||||
} else {
|
||||
WARN("Observed error while allocating max free memory on GPU: " << i);
|
||||
WARN(" with hipMallocManaged() api with flag 'hipMemAttachHost'\n");
|
||||
WARN("Error: " << hipGetErrorString(err));
|
||||
IfTestPassed = false;
|
||||
}
|
||||
err = hipMallocManaged(&Hmm, (freeDevMem - 1), hipMemAttachHost);
|
||||
if (hipSuccess == err) {
|
||||
HIP_CHECK(hipFree(Hmm));
|
||||
} else {
|
||||
WARN("Observed error while allocating max (freeDevMem - 1) memory"
|
||||
" on GPU: " << i);
|
||||
WARN(" with hipMallocManaged() api with flag 'hipMemAttachHost'\n");
|
||||
WARN("Error: " << hipGetErrorString(err));
|
||||
IfTestPassed = false;
|
||||
}
|
||||
}
|
||||
REQUIRE(IfTestPassed);
|
||||
} else {
|
||||
SUCCEED("Gpu doesnt support HMM! Hence skipping the test with PASS result");
|
||||
}
|
||||
}
|
||||
|
||||
Ссылка в новой задаче
Block a user