/* Copyright (c) 2021 - 2021 Advanced Micro Devices, Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANNTY OF ANY KIND, EXPRESS OR IMPLIED, INNCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANNY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER INN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR INN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ /* Test Scenarios 1. hipExtModuleLaunchKernel Negative Scenarios 2. hipExtModuleLaunchKernel concurrency verification using global variable 3. hipExtModuleLaunchKernel concurrency verification by launching multiple kernels with and without concurrency flag and verify the time difference between them 4. hipExtModuleLaunchKernel API verifying the kernel execution time of a particular kernel. 5. hipExtModuleLaunchKernel API verifying the kernel execution time by disabling the time flag 6. hipExtModuleLaunchKernel API verifying Corner Scenarios for Grid and Block dimensions 7. hipModuleLaunchKernel Work Group tests => - (block.x * block.y * block.z) <= Work Group Size where block.x < MaxBlockDimX , block.y < MaxBlockDimY and block.z < MaxBlockDimZ - (block.x * block.y * block.z) > Work Group Size where block.x < MaxBlockDimX , block.y < MaxBlockDimY and block.z < MaxBlockDimZ Scenarios 2 and 3 concurrency verification scenarios are not included in HIT command as firmware currently does not support the concurrency in the same stream based on the flag. */ /* HIT_START * BUILD: %t %s ../../test_common.cpp NVCC_OPTIONS -std=c++11 EXCLUDE_HIP_PLATFORM nvidia * TEST_NAMED: %t hipExtModuleLaunchKernel_NegativeTests --tests 1 EXCLUDE_HIP_PLATFORM nvidia * TEST_NAMED: %t hipExtModuleLaunchKernel_KernelExecutionTime --tests 4 EXCLUDE_HIP_PLATFORM nvidia * TEST_NAMED: %t hipExtModuleLaunchKernel_DisabledEventTimeFlag --tests 5 EXCLUDE_HIP_PLATFORM nvidia * TEST_NAMED: %t hipExtModuleLaunchKernel_CornerScenarios --tests 6 EXCLUDE_HIP_PLATFORM nvidia * TEST_NAMED: %t hipExtModuleLaunchKernel_WorkGroup --tests 7 EXCLUDE_HIP_PLATFORM nvidia * HIT_END */ #include #include "test_common.h" #include "hip/hip_ext.h" #define fileName "matmul.code" #define matmulK "matmulK" #define SixteenSec "SixteenSecKernel" #define KernelandExtra "KernelandExtraParams" #define FourSec "FourSecKernel" #define TwoSec "TwoSecKernel" #define globalDevVar "deviceGlobal" #define dummyKernel "dummyKernel" #define FOURSEC_KERNEL 4999 #define TWOSEC_KERNEL 2999 struct gridblockDim { unsigned int gridX; unsigned int gridY; unsigned int gridZ; unsigned int blockX; unsigned int blockY; unsigned int blockZ; }; class ModuleLaunchKernel { int N = 64; int SIZE = N*N; int *A, *B, *C; hipDeviceptr_t *Ad, *Bd; hipStream_t stream1, stream2; hipEvent_t start_event1, end_event1, start_event2, end_event2, start_timingDisabled, end_timingDisabled; hipModule_t Module; hipDeviceptr_t deviceGlobal; hipFunction_t MultKernel, SixteenSecKernel, FourSecKernel, TwoSecKernel, KernelandExtraParamKernel, DummyKernel; struct { int clockRate; void* _Ad; void* _Bd; void* _Cd; int _n; } args1, args2; struct { } args3; size_t size1; size_t size2; size_t size3; size_t deviceGlobalSize; public : void AllocateMemory(); void DeAllocateMemory(); void ModuleLoad(); bool Module_Negative_tests(); bool ExtModule_Negative_tests(); bool ExtModule_Corner_tests(); bool Module_WorkGroup_Test(); bool ExtModule_KernelExecutionTime(); bool ExtModule_ConcurencyCheck_GlobalVar(int conc_flag); bool ExtModule_ConcurrencyCheck_TimeVer(); bool ExtModule_Disabled_Timingflag(); }; void ModuleLaunchKernel::AllocateMemory() { A = new int[N*N*sizeof(int)]; B = new int[N*N*sizeof(int)]; for (int i=0; i < N; i++) { for (int j=0; j < N; j++) { A[i*N +j] = 1; B[i*N +j] = 1; } } HIPCHECK(hipStreamCreate(&stream1)); HIPCHECK(hipStreamCreate(&stream2)); HIPCHECK(hipMalloc(reinterpret_cast(&Ad), SIZE*sizeof(int))); HIPCHECK(hipMalloc(reinterpret_cast(&Bd), SIZE*sizeof(int))); HIPCHECK(hipHostMalloc(reinterpret_cast(&C), SIZE*sizeof(int))); HIPCHECK(hipMemcpy(Ad, A, SIZE*sizeof(int), hipMemcpyHostToDevice)); HIPCHECK(hipMemcpy(Bd, B, SIZE*sizeof(int), hipMemcpyHostToDevice)); int clkRate = 0; HIPCHECK(hipDeviceGetAttribute(&clkRate, hipDeviceAttributeClockRate, 0)); args1._Ad = Ad; args1._Bd = Bd; args1._Cd = C; args1._n = N; args1.clockRate = clkRate; args2._Ad = NULL; args2._Bd = NULL; args2._Cd = NULL; args2._n = 0; args2.clockRate = clkRate; size1 = sizeof(args1); size2 = sizeof(args2); size3 = sizeof(args3); HIPCHECK(hipEventCreate(&start_event1)); HIPCHECK(hipEventCreate(&end_event1)); HIPCHECK(hipEventCreate(&start_event2)); HIPCHECK(hipEventCreate(&end_event2)); HIPCHECK(hipEventCreateWithFlags(&start_timingDisabled, hipEventDisableTiming)); HIPCHECK(hipEventCreateWithFlags(&end_timingDisabled, hipEventDisableTiming)); } void ModuleLaunchKernel::ModuleLoad() { HIPCHECK(hipModuleLoad(&Module, fileName)); HIPCHECK(hipModuleGetFunction(&MultKernel, Module, matmulK)); HIPCHECK(hipModuleGetFunction(&SixteenSecKernel, Module, SixteenSec)); HIPCHECK(hipModuleGetFunction(&KernelandExtraParamKernel, Module, KernelandExtra)); HIPCHECK(hipModuleGetFunction(&FourSecKernel, Module, FourSec)); HIPCHECK(hipModuleGetFunction(&TwoSecKernel, Module, TwoSec)); HIPCHECK(hipModuleGetFunction(&DummyKernel, Module, dummyKernel)); HIPCHECK(hipModuleGetGlobal(&deviceGlobal, &deviceGlobalSize, Module, globalDevVar)); } void ModuleLaunchKernel::DeAllocateMemory() { HIPCHECK(hipEventDestroy(start_event1)); HIPCHECK(hipEventDestroy(end_event1)); HIPCHECK(hipEventDestroy(start_event2)); HIPCHECK(hipEventDestroy(end_event2)); HIPCHECK(hipEventDestroy(start_timingDisabled)); HIPCHECK(hipEventDestroy(end_timingDisabled)); HIPCHECK(hipStreamDestroy(stream1)); HIPCHECK(hipStreamDestroy(stream2)); delete[] A; delete[] B; HIPCHECK(hipFree(Ad)); HIPCHECK(hipFree(Bd)); HIPCHECK(hipHostFree(C)); HIPCHECK(hipModuleUnload(Module)); } /* * In this scenario,We launch the 4 sec kernel and 2 sec kernel * and we fetch the event execution time of each kernel and it * should not exceed the execution time of that particular kernel */ bool ModuleLaunchKernel::ExtModule_KernelExecutionTime() { bool testStatus = true; HIPCHECK(hipSetDevice(0)); AllocateMemory(); ModuleLoad(); hipError_t e; float time_4sec, time_2sec; void *config2[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args2, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size2, HIP_LAUNCH_PARAM_END}; HIPCHECK(hipExtModuleLaunchKernel(FourSecKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config2), start_event1, end_event1, 0)); HIPCHECK(hipExtModuleLaunchKernel(TwoSecKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config2), start_event2, end_event2, 0)); HIPCHECK(hipStreamSynchronize(stream1)); e = hipEventElapsedTime(&time_4sec, start_event1, end_event1); e = hipEventElapsedTime(&time_2sec, start_event2, end_event2); if (time_4sec < FOURSEC_KERNEL && time_2sec < TWOSEC_KERNEL) { testStatus = true; } else { printf("Expected Vs Actual: Kernel1-<%d Vs %f Kernel2-<%d Vs %f\n", FOURSEC_KERNEL, time_4sec, TWOSEC_KERNEL, time_2sec); testStatus = false; } DeAllocateMemory(); return testStatus; } /* * In this Scenario, we create events by disabling the timing flag * We then Launch the kernel using hipExtModuleLaunchKernel by passing * disabled events and try to fetch kernel execution time using * hipEventElapsedTime API which would fail as the flag is disabled. */ bool ModuleLaunchKernel::ExtModule_Disabled_Timingflag() { bool testStatus = true; AllocateMemory(); ModuleLoad(); hipError_t e; float time_2sec; void *config2[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args2, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size2, HIP_LAUNCH_PARAM_END}; HIPCHECK(hipExtModuleLaunchKernel(TwoSecKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config2), start_timingDisabled, end_timingDisabled, 0)); HIPCHECK(hipStreamSynchronize(stream1)); e = hipEventElapsedTime(&time_2sec, start_timingDisabled, end_timingDisabled); if (e == hipErrorInvalidHandle) { testStatus = true; } else { printf("Event elapsed time is success when time flag is disabled \n"); testStatus = false; } DeAllocateMemory(); return testStatus; } /* * In this scenario , we initially create a global device variable in matmul.cpp * with initial value as 1 We then launch the four sec and two sec kernels and * try to modify the variable. * In case of concurrency,the variable gets updated in four sec kernel to 0x2222 * and then the two sec kernel would be launched parallely which would again * modify the global variable to 0x3333 * In case of non concurrency,the variale gets updated in four sec kernel * and then in two sec kernel and the value of global variable would be 0x5555 */ bool ModuleLaunchKernel::ExtModule_ConcurencyCheck_GlobalVar(int conc_flag) { bool testStatus = true; int deviceGlobal_h = 0; AllocateMemory(); ModuleLoad(); void *config2[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args2, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size2, HIP_LAUNCH_PARAM_END}; HIPCHECK(hipExtModuleLaunchKernel(FourSecKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config2), start_event1, end_event1, conc_flag)); HIPCHECK(hipExtModuleLaunchKernel(TwoSecKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config2), start_event2, end_event2, conc_flag)); HIPCHECK(hipStreamSynchronize(stream1)); HIPCHECK(hipMemcpyDtoH(&deviceGlobal_h, hipDeviceptr_t(deviceGlobal), deviceGlobalSize)); if (conc_flag && deviceGlobal_h != 0x5555) { testStatus = true; } else if (!conc_flag && deviceGlobal_h == 0x5555) { testStatus = true; } else { printf("concurrency failed when concurrency flag is %d and global is %x", conc_flag, deviceGlobal_h); testStatus = false; } DeAllocateMemory(); return testStatus; } /* In this scenario,we initially launch 2 kernels,one is sixteen sec kernel * and other is matrix multiplication with non-concurrency (flag 0) * and we launch the same 2 kernels with concurrency flag 1. We then compare * the time difference between the concurrency and non currency kernels. * The concurrency kernel duration should be less than the non concurrency * duration kernels */ bool ModuleLaunchKernel::ExtModule_ConcurrencyCheck_TimeVer() { bool testStatus = true; AllocateMemory(); ModuleLoad(); int mismatch = 0; void* config1[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args1, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size1, HIP_LAUNCH_PARAM_END}; void* config2[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args2, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size2, HIP_LAUNCH_PARAM_END}; auto start = std::chrono::high_resolution_clock::now(); HIPCHECK(hipExtModuleLaunchKernel(SixteenSecKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config2), NULL, NULL, 0)); HIPCHECK(hipExtModuleLaunchKernel(MultKernel, N, N, 1, 32, 32 , 1, 0, stream1, NULL, reinterpret_cast(&config1), NULL, NULL, 0)); HIPCHECK(hipStreamSynchronize(stream1)); auto stop = std::chrono::high_resolution_clock::now(); auto duration1 = std::chrono::duration_cast (stop-start); start = std::chrono::high_resolution_clock::now(); HIPCHECK(hipExtModuleLaunchKernel(SixteenSecKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config2), NULL, NULL, 1)); HIPCHECK(hipExtModuleLaunchKernel(MultKernel, N, N, 1, 32, 32, 1, 0, stream1, NULL, reinterpret_cast(&config1), NULL, NULL, 1)); HIPCHECK(hipStreamSynchronize(stream1)); stop = std::chrono::high_resolution_clock::now(); auto duration2 = std::chrono::duration_cast (stop-start); if (!(duration2.count() < duration1.count())) { std::cout << "Test failed as there was no time gain observed when" << " two kernels were launched using hipExtModuleLaunchKernel()" << " with flag 1." <(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed nullptr to kernel function"); testStatus = false; } // Passing Max int value to block dimensions err = hipExtModuleLaunchKernel(MultKernel, 1, 1, 1, std::numeric_limits::max(), std::numeric_limits::max(), std::numeric_limits::max(), 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for max values to block dimension"); testStatus = false; } // Passing 0 as value for all dimensions err = hipExtModuleLaunchKernel(MultKernel, 0, 0, 0, 0, 0, 0, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for 0 as value for all dimensions"); testStatus = false; } // Passing 0 as value for x dimension err = hipExtModuleLaunchKernel(MultKernel, 0, 1, 1, 0, 1, 1, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for 0 as value for x dimension"); testStatus = false; } // Passing 0 as value for y dimension err = hipExtModuleLaunchKernel(MultKernel, 1, 0, 1, 1, 0, 1, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for 0 as value for y dimension"); testStatus = false; } // Passing 0 as value for z dimension err = hipExtModuleLaunchKernel(MultKernel, 1, 1, 0, 1, 1, 0, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for 0 as value for z dimension"); testStatus = false; } // Passing both kernel and extra params err = hipExtModuleLaunchKernel(KernelandExtraParamKernel, 1, 1, 1, 1, 1, 1, 0, stream1, reinterpret_cast(¶ms), reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel fail when we pass both kernel,extra args"); testStatus = false; } // Passing more than maxthreadsperblock to block dimensions hipDeviceProp_t deviceProp; hipGetDeviceProperties(&deviceProp, 0); err = hipExtModuleLaunchKernel(MultKernel, 1, 1, 1, deviceProp.maxThreadsPerBlock+1, deviceProp.maxThreadsPerBlock+1, deviceProp.maxThreadsPerBlock+1, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for max group size"); testStatus = false; } // Block dimension X = Max Allowed + 1 err = hipExtModuleLaunchKernel(MultKernel, 1, 1, 1, deviceProp.maxThreadsDim[0]+1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for (MaxBlockDimX + 1)"); testStatus = false; } // Block dimension Y = Max Allowed + 1 err = hipExtModuleLaunchKernel(MultKernel, 1, 1, 1, 1, deviceProp.maxThreadsDim[1]+1, 1, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for (MaxBlockDimY + 1)"); testStatus = false; } // Block dimension Z = Max Allowed + 1 err = hipExtModuleLaunchKernel(MultKernel, 1, 1, 1, 1, 1, deviceProp.maxThreadsDim[2]+1, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for (MaxBlockDimZ + 1)"); testStatus = false; } // Passing invalid config data in extra params void *config3[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size1, HIP_LAUNCH_PARAM_END}; err = hipExtModuleLaunchKernel(MultKernel, 1, 1, 1, 1, 1, 1, 0, stream1, NULL, reinterpret_cast(&config3), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed for invalid conf \n"); testStatus = false; } DeAllocateMemory(); return testStatus; } bool ModuleLaunchKernel::ExtModule_Corner_tests() { bool testStatus = true; HIPCHECK(hipSetDevice(0)); hipError_t err; AllocateMemory(); ModuleLoad(); void *config1[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args3, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size3, HIP_LAUNCH_PARAM_END}; hipDeviceProp_t deviceProp; hipGetDeviceProperties(&deviceProp, 0); unsigned int maxblockX = deviceProp.maxThreadsDim[0]; unsigned int maxblockY = deviceProp.maxThreadsDim[1]; unsigned int maxblockZ = deviceProp.maxThreadsDim[2]; struct gridblockDim test[6] = {{1, 1, 1, maxblockX, 1, 1}, {1, 1, 1, 1, maxblockY, 1}, {1, 1, 1, 1, 1, maxblockZ}, {UINT32_MAX, 1, 1, 1, 1, 1}, {1, UINT32_MAX, 1, 1, 1, 1}, {1, 1, UINT32_MAX, 1, 1, 1}}; for (int i = 0; i < 6; i++) { err = hipExtModuleLaunchKernel(DummyKernel, test[i].gridX, test[i].gridY, test[i].gridZ, test[i].blockX, test[i].blockY, test[i].blockZ, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err != hipSuccess) { printf("hipExtModuleLaunchKernel failed (%u, %u, %u) and (%u, %u, %u)", test[i].gridX, test[i].gridY, test[i].gridZ, test[i].blockX, test[i].blockY, test[i].blockZ); testStatus = false; } } DeAllocateMemory(); return testStatus; } bool ModuleLaunchKernel::Module_WorkGroup_Test() { bool testStatus = true; HIPCHECK(hipSetDevice(0)); hipError_t err; AllocateMemory(); ModuleLoad(); void *config1[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args3, HIP_LAUNCH_PARAM_BUFFER_SIZE, &size3, HIP_LAUNCH_PARAM_END}; hipDeviceProp_t deviceProp; hipGetDeviceProperties(&deviceProp, 0); double cuberootVal = cbrt(static_cast(deviceProp.maxThreadsPerBlock)); uint32_t cuberoot_floor = floor(cuberootVal); uint32_t cuberoot_ceil = ceil(cuberootVal); // Scenario: (block.x * block.y * block.z) <= Work Group Size where // block.x < MaxBlockDimX , block.y < MaxBlockDimY and block.z < MaxBlockDimZ err = hipExtModuleLaunchKernel(DummyKernel, 1, 1, 1, cuberoot_floor, cuberoot_floor, cuberoot_floor, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err != hipSuccess) { printf("hipExtModuleLaunchKernel failed block dimensions (%u, %u, %u)", cuberoot_floor, cuberoot_floor, cuberoot_floor); testStatus = false; } // Scenario: (block.x * block.y * block.z) > Work Group Size where // block.x < MaxBlockDimX , block.y < MaxBlockDimY and block.z < MaxBlockDimZ err = hipExtModuleLaunchKernel(DummyKernel, 1, 1, 1, cuberoot_ceil, cuberoot_ceil, cuberoot_ceil + 1, 0, stream1, NULL, reinterpret_cast(&config1), nullptr, nullptr, 0); if (err == hipSuccess) { printf("hipExtModuleLaunchKernel failed block dimensions (%u, %u, %u)", cuberoot_ceil, cuberoot_ceil, cuberoot_ceil); testStatus = false; } DeAllocateMemory(); return testStatus; } int main(int argc, char* argv[]) { bool testStatus = true; HipTest::parseStandardArguments(argc, argv, false); ModuleLaunchKernel kernelLaunch; if (p_tests == 1) { testStatus &= kernelLaunch.ExtModule_Negative_tests(); } else if (p_tests == 2) { testStatus &= kernelLaunch.ExtModule_ConcurencyCheck_GlobalVar(1); testStatus &= kernelLaunch.ExtModule_ConcurencyCheck_GlobalVar(0); } else if (p_tests == 3) { testStatus &= kernelLaunch.ExtModule_ConcurrencyCheck_TimeVer(); } else if (p_tests == 4) { testStatus &= kernelLaunch.ExtModule_KernelExecutionTime(); } else if (p_tests == 5) { testStatus &= kernelLaunch.ExtModule_Disabled_Timingflag(); } else if (p_tests == 6) { testStatus &= kernelLaunch.ExtModule_Corner_tests(); } else if (p_tests == 7) { testStatus &= kernelLaunch.Module_WorkGroup_Test(); } else { failed("Didnt receive any valid option.\n"); } if (testStatus) { passed(); } else { failed("Test Failed!"); } }