/* Copyright (c) 2021 - 2021 Advanced Micro Devices, Inc. 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 WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ #include #include #include #include /* HIT_START * BUILD: %t %s ../../test_common.cpp * TEST: %t * HIT_END */ #define THREADS_PER_BLOCK 512 #define GRAPH_LAUNCH_ITERATIONS 1000 __global__ void reduce(float* d_in, double* d_out, size_t inputSize, size_t outputSize) { int myId = threadIdx.x + blockDim.x * blockIdx.x; int tid = threadIdx.x; for (unsigned int s = blockDim.x / 2; s > 0; s >>= 1) { if (tid < s) { d_in[myId] += d_in[myId + s]; } __syncthreads(); } if (tid == 0) { d_out[blockIdx.x] = d_in[myId]; } } __global__ void reduceFinal(double* d_in, double* d_out, size_t inputSize) { int myId = threadIdx.x + blockDim.x * blockIdx.x; int tid = threadIdx.x; for (unsigned int s = blockDim.x / 2; s > 0; s >>= 1) { if (tid < s) { d_in[myId] += d_in[myId + s]; } __syncthreads(); } if (tid == 0) { *d_out = d_in[myId]; } } void init_input(float* a, size_t size) { for (size_t i = 0; i < size; i++) a[i] = (rand() & 0xFF) / (float)RAND_MAX; } bool hipWithoutGraphs(float* inputVec_h, float* inputVec_d, double* outputVec_d, double* result_d, size_t inputSize, size_t numOfBlocks) { hipStream_t stream1, stream2, stream3; hipEvent_t forkStreamEvent, memsetEvent1, memsetEvent2; double result_h = 0.0; HIPCHECK(hipStreamCreate(&stream1)); HIPCHECK(hipStreamCreate(&stream2)); HIPCHECK(hipStreamCreate(&stream3)); HIPCHECK(hipEventCreate(&forkStreamEvent)); HIPCHECK(hipEventCreate(&memsetEvent1)); HIPCHECK(hipEventCreate(&memsetEvent2)); auto start = std::chrono::high_resolution_clock::now(); for (int i = 0; i < GRAPH_LAUNCH_ITERATIONS; i++) { HIPCHECK(hipMemcpyAsync(inputVec_d, inputVec_h, sizeof(float) * inputSize, hipMemcpyDefault, stream1)); HIPCHECK(hipMemsetAsync(outputVec_d, 0, sizeof(double) * numOfBlocks, stream2)); HIPCHECK(hipEventRecord(memsetEvent1, stream2)); HIPCHECK(hipMemsetAsync(result_d, 0, sizeof(double), stream3)); HIPCHECK(hipEventRecord(memsetEvent2, stream3)); HIPCHECK(hipStreamWaitEvent(stream1, memsetEvent1, 0)); hipLaunchKernelGGL(reduce, dim3(inputSize / THREADS_PER_BLOCK, 1, 1), dim3(THREADS_PER_BLOCK, 1, 1), 0, stream1, inputVec_d, outputVec_d, inputSize, numOfBlocks); HIPCHECK(hipStreamWaitEvent(stream1, memsetEvent2, 0)); hipLaunchKernelGGL(reduceFinal, dim3(1, 1, 1), dim3(THREADS_PER_BLOCK, 1, 1), 0, stream1, outputVec_d, result_d, numOfBlocks); HIPCHECK(hipMemcpyAsync(&result_h, result_d, sizeof(double), hipMemcpyDefault, stream1)); HIPCHECK(hipStreamSynchronize(stream1)); } auto stop = std::chrono::high_resolution_clock::now(); auto result = std::chrono::duration(stop - start); std::cout << "Time taken for hipWithoutGraphs : " << std::chrono::duration_cast(result).count() << " millisecs " << std::endl; HIPCHECK(hipStreamDestroy(stream1)); HIPCHECK(hipStreamDestroy(stream2)); HIPCHECK(hipStreamDestroy(stream3)); double result_h_cpu = 0.0; for (int i = 0; i < inputSize; i++) { result_h_cpu += inputVec_h[i]; } if (result_h_cpu != result_h) { printf("Final reduced sum = %lf %lf\n", result_h_cpu, result_h); return false; } return true; } typedef struct callBackData { const char* fn_name; double* data; } callBackData_t; double result_gpu = 0.0; void myHostNodeCallback(void* data) { static int iter = 0; iter++; // Check status of GPU after stream operations are done callBackData_t* tmp = (callBackData_t*)(data); // checkCudaErrors(tmp->status); double* result = (double*)(tmp->data); char* function = (char*)(tmp->fn_name); if (iter == GRAPH_LAUNCH_ITERATIONS) printf("[%s] Host callback final reduced sum = %lf\n", function, *result); result_gpu = *result; *result = 0.0; // reset the result } bool hipGraphsUsingStreamCapture(float* inputVec_h, float* inputVec_d, double* outputVec_d, double* result_d, size_t inputSize, size_t numOfBlocks) { hipStream_t stream1, stream2, stream3, streamForGraph; hipEvent_t forkStreamEvent, memsetEvent1, memsetEvent2; hipGraph_t graph; double result_h = 0.0; HIPCHECK(hipStreamCreate(&stream1)); HIPCHECK(hipStreamCreate(&stream2)); HIPCHECK(hipStreamCreate(&stream3)); HIPCHECK(hipStreamCreate(&streamForGraph)); HIPCHECK(hipEventCreate(&forkStreamEvent)); HIPCHECK(hipEventCreate(&memsetEvent1)); HIPCHECK(hipEventCreate(&memsetEvent2)); auto start = std::chrono::high_resolution_clock::now(); HIPCHECK(hipStreamBeginCapture(stream1, hipStreamCaptureModeGlobal)); HIPCHECK(hipEventRecord(forkStreamEvent, stream1)); HIPCHECK(hipStreamWaitEvent(stream2, forkStreamEvent, 0)); HIPCHECK(hipStreamWaitEvent(stream3, forkStreamEvent, 0)); HIPCHECK( hipMemcpyAsync(inputVec_d, inputVec_h, sizeof(float) * inputSize, hipMemcpyDefault, stream1)); HIPCHECK(hipMemsetAsync(outputVec_d, 0, sizeof(double) * numOfBlocks, stream2)); HIPCHECK(hipEventRecord(memsetEvent1, stream2)); HIPCHECK(hipMemsetAsync(result_d, 0, sizeof(double), stream3)); HIPCHECK(hipEventRecord(memsetEvent2, stream3)); HIPCHECK(hipStreamWaitEvent(stream1, memsetEvent1, 0)); hipLaunchKernelGGL(reduce, dim3(inputSize / THREADS_PER_BLOCK, 1, 1), dim3(THREADS_PER_BLOCK, 1, 1), 0, stream1, inputVec_d, outputVec_d, inputSize, numOfBlocks); HIPCHECK(hipStreamWaitEvent(stream1, memsetEvent2, 0)); hipLaunchKernelGGL(reduceFinal, dim3(1, 1, 1), dim3(THREADS_PER_BLOCK, 1, 1), 0, stream1, outputVec_d, result_d, numOfBlocks); HIPCHECK(hipMemcpyAsync(&result_h, result_d, sizeof(double), hipMemcpyDefault, stream1)); HIPCHECK(hipStreamEndCapture(stream1, &graph)); hipGraphNode_t* nodes = NULL; size_t numNodes = 0; HIPCHECK(hipGraphGetNodes(graph, nodes, &numNodes)); printf("\nNum of nodes in the graph created using stream capture API = %zu\n", numNodes); HIPCHECK(hipGraphGetRootNodes(graph, nodes, &numNodes)); printf("Num of root nodes in the graph created using stream capture API = %zu\n", numNodes); hipGraphExec_t graphExec; HIPCHECK(hipGraphInstantiate(&graphExec, graph, NULL, NULL, 0)); auto start1 = std::chrono::high_resolution_clock::now(); for (int i = 0; i < GRAPH_LAUNCH_ITERATIONS; i++) { HIPCHECK(hipGraphLaunch(graphExec, streamForGraph)); } HIPCHECK(hipStreamSynchronize(streamForGraph)); auto stop = std::chrono::high_resolution_clock::now(); auto resultWithInit = std::chrono::duration(stop - start); auto resultWithoutInit = std::chrono::duration(stop - start1); std::cout << "Time taken for hipGraphsUsingStreamCapture with Init: " << std::chrono::duration_cast(resultWithInit).count() << " milliseconds without Init:" << std::chrono::duration_cast(resultWithoutInit).count() << " milliseconds " << std::endl; HIPCHECK(hipGraphExecDestroy(graphExec)); HIPCHECK(hipGraphDestroy(graph)); HIPCHECK(hipStreamDestroy(stream1)); HIPCHECK(hipStreamDestroy(stream2)); HIPCHECK(hipStreamDestroy(stream3)); HIPCHECK(hipStreamDestroy(streamForGraph)); double result_h_cpu = 0.0; for (int i = 0; i < inputSize; i++) { result_h_cpu += inputVec_h[i]; } if (result_h_cpu != result_h) { printf("Final reduced sum = %lf %lf\n", result_h_cpu, result_h); return false; } return true; } bool hipGraphsManual(float* inputVec_h, float* inputVec_d, double* outputVec_d, double* result_d, size_t inputSize, size_t numOfBlocks) { hipStream_t streamForGraph; hipGraph_t graph; std::vector nodeDependencies; hipGraphNode_t memcpyNode, kernelNode, memsetNode; double result_h = 0.0; HIPCHECK(hipStreamCreate(&streamForGraph)); auto start = std::chrono::high_resolution_clock::now(); hipKernelNodeParams kernelNodeParams = {0}; hipMemsetParams memsetParams = {0}; memsetParams.dst = (void*)outputVec_d; memsetParams.value = 0; memsetParams.pitch = 0; memsetParams.elementSize = sizeof(float); memsetParams.width = numOfBlocks * 2; memsetParams.height = 1; HIPCHECK(hipGraphCreate(&graph, 0)); HIPCHECK(hipGraphAddMemcpyNode1D(&memcpyNode, graph, NULL, 0, inputVec_d, inputVec_h, sizeof(float) * inputSize, hipMemcpyHostToDevice)); HIPCHECK(hipGraphAddMemsetNode(&memsetNode, graph, NULL, 0, &memsetParams)); nodeDependencies.push_back(memsetNode); nodeDependencies.push_back(memcpyNode); void* kernelArgs[4] = {(void*)&inputVec_d, (void*)&outputVec_d, &inputSize, &numOfBlocks}; kernelNodeParams.func = (void*)reduce; kernelNodeParams.gridDim = dim3(inputSize / THREADS_PER_BLOCK, 1, 1); kernelNodeParams.blockDim = dim3(THREADS_PER_BLOCK, 1, 1); kernelNodeParams.sharedMemBytes = 0; kernelNodeParams.kernelParams = (void**)kernelArgs; kernelNodeParams.extra = NULL; HIPCHECK(hipGraphAddKernelNode(&kernelNode, graph, nodeDependencies.data(), nodeDependencies.size(), &kernelNodeParams)); nodeDependencies.clear(); nodeDependencies.push_back(kernelNode); memset(&memsetParams, 0, sizeof(memsetParams)); memsetParams.dst = result_d; memsetParams.value = 0; memsetParams.elementSize = sizeof(float); memsetParams.width = 2; memsetParams.height = 1; HIPCHECK(hipGraphAddMemsetNode(&memsetNode, graph, NULL, 0, &memsetParams)); nodeDependencies.push_back(memsetNode); memset(&kernelNodeParams, 0, sizeof(kernelNodeParams)); kernelNodeParams.func = (void*)reduceFinal; kernelNodeParams.gridDim = dim3(1, 1, 1); kernelNodeParams.blockDim = dim3(THREADS_PER_BLOCK, 1, 1); kernelNodeParams.sharedMemBytes = 0; void* kernelArgs2[3] = {(void*)&outputVec_d, (void*)&result_d, &numOfBlocks}; kernelNodeParams.kernelParams = kernelArgs2; kernelNodeParams.extra = NULL; HIPCHECK(hipGraphAddKernelNode(&kernelNode, graph, nodeDependencies.data(), nodeDependencies.size(), &kernelNodeParams)); nodeDependencies.clear(); nodeDependencies.push_back(kernelNode); HIPCHECK(hipGraphAddMemcpyNode1D(&memcpyNode, graph, nodeDependencies.data(), nodeDependencies.size(), &result_h, result_d, sizeof(double), hipMemcpyDeviceToHost)); nodeDependencies.clear(); nodeDependencies.push_back(memcpyNode); hipGraphNode_t hostNode; hipHostNodeParams hostParams = {0}; hostParams.fn = myHostNodeCallback; callBackData_t hostFnData; hostFnData.data = &result_h; hostFnData.fn_name = "hipGraphsManual"; hostParams.userData = &hostFnData; HIPCHECK(hipGraphAddHostNode(&hostNode, graph, nodeDependencies.data(), nodeDependencies.size(), &hostParams)); hipGraphExec_t graphExec; hipGraphNode_t* nodes = NULL; size_t numNodes = 0; HIPCHECK(hipGraphGetNodes(graph, nodes, &numNodes)); printf("\nNum of nodes in the graph created using hipGraphsManual API = %zu\n", numNodes); HIPCHECK(hipGraphGetRootNodes(graph, nodes, &numNodes)); printf("Num of root nodes in the graph created using hipGraphsManual API = %zu\n", numNodes); HIPCHECK(hipGraphInstantiate(&graphExec, graph, NULL, NULL, 0)); hipGraph_t clonedGraph; hipGraphExec_t clonedGraphExec; HIPCHECK(hipGraphClone(&clonedGraph, graph)); HIPCHECK(hipGraphInstantiate(&clonedGraphExec, clonedGraph, NULL, NULL, 0)); auto start1 = std::chrono::high_resolution_clock::now(); for (int i = 0; i < GRAPH_LAUNCH_ITERATIONS; i++) { HIPCHECK(hipGraphLaunch(graphExec, streamForGraph)); } HIPCHECK(hipStreamSynchronize(streamForGraph)); auto stop = std::chrono::high_resolution_clock::now(); auto resultWithInit = std::chrono::duration(stop - start); auto resultWithoutInit = std::chrono::duration(stop - start1); std::cout << "Time taken for hipGraphsManual with Init: " << std::chrono::duration_cast(resultWithInit).count() << " milliseconds without Init:" << std::chrono::duration_cast(resultWithoutInit).count() << " milliseconds " << std::endl; printf("\n\nCloned Graph Output.. \n"); hipGraphNode_t clonedNode; hipGraphNodeFindInClone(&clonedNode, memcpyNode, clonedGraph); hipGraphNodeType clonedNodeType, origNodeType; hipGraphNodeGetType(clonedNode, &clonedNodeType); hipGraphNodeGetType(memcpyNode, &origNodeType); std::cout << "Original node type:" << origNodeType << " cloned node type:" << clonedNodeType << std::endl; for (int i = 0; i < GRAPH_LAUNCH_ITERATIONS; i++) { HIPCHECK(hipGraphLaunch(clonedGraphExec, streamForGraph)); } HIPCHECK(hipStreamSynchronize(streamForGraph)); HIPCHECK(hipGraphExecDestroy(graphExec)); HIPCHECK(hipGraphDestroy(graph)); HIPCHECK(hipStreamDestroy(streamForGraph)); double result_h_cpu = 0.0; for (int i = 0; i < inputSize; i++) { result_h_cpu += inputVec_h[i]; } if (result_h_cpu != result_gpu) { printf("Final reduced sum = %lf %lf\n", result_h_cpu, result_gpu); return false; } return true; } int main(int argc, char** argv) { size_t size = 1 << 12; size_t maxBlocks = 512; hipSetDevice(0); printf("%zu elements\n", size); printf("threads per block = %d\n", THREADS_PER_BLOCK); printf("Graph Launch iterations = %d\n", GRAPH_LAUNCH_ITERATIONS); float *inputVec_d = NULL, *inputVec_h = NULL; double *outputVec_d = NULL, *result_d; inputVec_h = (float*)malloc(sizeof(float) * size); HIPCHECK(hipMalloc(&inputVec_d, sizeof(float) * size)); HIPCHECK(hipMalloc(&outputVec_d, sizeof(double) * maxBlocks)); HIPCHECK(hipMalloc(&result_d, sizeof(double))); init_input(inputVec_h, size); bool status1 = hipWithoutGraphs(inputVec_h, inputVec_d, outputVec_d, result_d, size, maxBlocks); bool status2 = hipGraphsManual(inputVec_h, inputVec_d, outputVec_d, result_d, size, maxBlocks); bool status3 = hipGraphsUsingStreamCapture(inputVec_h, inputVec_d, outputVec_d, result_d, size, maxBlocks); HIPCHECK(hipFree(inputVec_d)); HIPCHECK(hipFree(outputVec_d)); HIPCHECK(hipFree(result_d)); if (!status1) { failed("Failed during hip without graph\n"); } if (!status2) { failed("Failed during hip graph manual\n"); } if (!status3) { failed("Failed during hipGraph with capture\n"); } passed(); }