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// Copyright 2021 NVIDIA Corporation. All rights reserved
//
// The sample provides workflow for adding nested ranges for profiling with CUPTI profiling APIs.
// The psuedo code for the sample
// cuptiProfilerPushRange(rangeA) // push rangeA -> nesting level 1
// launch kernel A
// cuptiProfilerPushRange(rangeB) // push rangeB -> nesting level 2
// launch kernel B
// cuptiProfilerPopRange() // pop rangeB
// cuptiProfilerPopRange() // pop rangeA
//
// Notes:
// 1) Even though nested ranges are subset of user range they still count as individual range,
// so the number of ranges need to be sum of user ranges and nested ranges and as the ranges number increases the profiling time also increases.
// 2) The number of passes required for collecting counter data will vary with number of nesting level used.
// e.g. "sm__mio_inst_issued.sum" metric in GA100 needs 2 passes for collecting the counter data with no nesting (nestingLevel = 1).
// if we add a nested range (nestingLevel = 2) then the number of passes required will be 2 times. (4 passes)
// (You can refer to cupti_metric_properties sample for getting the metrics properties like number of passes required and
// which type of metric it is (HW/SW) for a particular chip)
//
#include <cupti_target.h>
#include <cupti_profiler_target.h>
#include <nvperf_host.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <string>
#include <cstring>
#include <stdio.h>
#include <stdlib.h>
#include <Metric.h>
#include <Eval.h>
#include <Utils.h>
#include <FileOp.h>
#ifndef EXIT_WAIVED
#define EXIT_WAIVED 2
#endif
#define CUPTI_API_CALL(apiFuncCall) \
do { \
CUptiResult _status = apiFuncCall; \
if (_status != CUPTI_SUCCESS) { \
const char *errstr; \
cuptiGetResultString(_status, &errstr); \
fprintf(stderr, "%s:%d: error: function %s failed with error %s.\n", \
__FILE__, __LINE__, #apiFuncCall, errstr); \
exit(EXIT_FAILURE); \
} \
} while (0)
#define DRIVER_API_CALL(apiFuncCall) \
do { \
CUresult _status = apiFuncCall; \
if (_status != CUDA_SUCCESS) { \
fprintf(stderr, "%s:%d: error: function %s failed with error %d.\n", \
__FILE__, __LINE__, #apiFuncCall, _status); \
exit(EXIT_FAILURE); \
} \
} while (0)
#define RUNTIME_API_CALL(apiFuncCall) \
do { \
cudaError_t _status = apiFuncCall; \
if (_status != cudaSuccess) { \
fprintf(stderr, "%s:%d: error: function %s failed with error %s.\n", \
__FILE__, __LINE__, #apiFuncCall, cudaGetErrorString(_status));\
exit(EXIT_FAILURE); \
} \
} while (0)
#define MEMORY_ALLOCATION_CALL(var) \
do { \
if (var == NULL) { \
fprintf(stderr, "%s:%d: Error: Memory Allocation Failed \n", \
__FILE__, __LINE__); \
exit(EXIT_FAILURE); \
} \
} while (0)
static int numRanges = 2;
static int numNestingLevels = 2;
#define DEFAULT_METRIC_NAME "sm__ctas_launched.sum"
// Device code
__global__
void VecAdd(const int* A, const int* B, int* C, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
C[i] = A[i] + B[i];
}
// Device code
__global__
void VecSub(const int* A, const int* B, int* C, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
C[i] = A[i] - B[i];
}
enum class eVectorOperationType
{
VEC_ADD,
VEC_SUB
};
static void initVec(int *vec, int n)
{
for (int i=0; i< n; i++)
vec[i] = i;
}
static void cleanUp(int *h_A, int *h_B, int *h_C, int *d_A, int *d_B, int *d_C)
{
if (d_A)
RUNTIME_API_CALL(cudaFree(d_A));
if (d_B)
RUNTIME_API_CALL(cudaFree(d_B));
if (d_C)
RUNTIME_API_CALL(cudaFree(d_C));
// Free host memory
if (h_A)
free(h_A);
if (h_B)
free(h_B);
if (h_C)
free(h_C);
}
static void VectorProcess(int numOfElements, eVectorOperationType operationType)
{
size_t size = numOfElements * sizeof(int);
int threadsPerBlock = 0;
int blocksPerGrid = 0;
int *h_A, *h_B, *h_C;
int *d_A, *d_B, *d_C;
int i, res;
// Allocate input vectors h_A and h_B in host memory
h_A = (int*)malloc(size);
MEMORY_ALLOCATION_CALL(h_A);
h_B = (int*)malloc(size);
MEMORY_ALLOCATION_CALL(h_B);
h_C = (int*)malloc(size);
MEMORY_ALLOCATION_CALL(h_C);
// Initialize input vectors
initVec(h_A, numOfElements);
initVec(h_B, numOfElements);
memset(h_C, 0, size);
// Allocate vectors in device memory
RUNTIME_API_CALL(cudaMalloc((void**)&d_A, size));
RUNTIME_API_CALL(cudaMalloc((void**)&d_B, size));
RUNTIME_API_CALL(cudaMalloc((void**)&d_C, size));
// Copy vectors from host memory to device memory
RUNTIME_API_CALL(cudaMemcpy(d_A, h_A, size, cudaMemcpyHostToDevice));
RUNTIME_API_CALL(cudaMemcpy(d_B, h_B, size, cudaMemcpyHostToDevice));
// Invoke kernel
threadsPerBlock = 256;
blocksPerGrid = (numOfElements + threadsPerBlock - 1) / threadsPerBlock;
if (operationType == eVectorOperationType::VEC_ADD)
{
printf("Launching VecAdd kernel: blocks %d, thread/block %d\n", blocksPerGrid, threadsPerBlock);
VecAdd<<<blocksPerGrid, threadsPerBlock>>>(d_A, d_B, d_C, numOfElements);
RUNTIME_API_CALL(cudaGetLastError());
}
if (operationType == eVectorOperationType::VEC_SUB)
{
printf("Launching VecSub kernel: blocks %d, thread/block %d\n", blocksPerGrid, threadsPerBlock);
VecSub<<<blocksPerGrid, threadsPerBlock>>>(d_A, d_B, d_C, numOfElements);
RUNTIME_API_CALL(cudaGetLastError());
}
// Copy result from device memory to host memory
// h_C contains the result in host memory
RUNTIME_API_CALL(cudaMemcpy(h_C, d_C, size, cudaMemcpyDeviceToHost));
// Verify result
for (i = 0; i < numOfElements; ++i)
{
if (operationType == eVectorOperationType::VEC_ADD)
res = h_A[i] + h_B[i];
if (operationType == eVectorOperationType::VEC_SUB)
res = h_A[i] - h_B[i];
if (h_C[i] != res)
{
fprintf(stderr, "error: result verification failed\n");
exit(EXIT_FAILURE);
}
}
cleanUp(h_A, h_B, h_C, d_A, d_B, d_C);
}
bool CreateCounterDataImage(
std::vector<uint8_t>& counterDataImage,
std::vector<uint8_t>& counterDataScratchBuffer,
std::vector<uint8_t>& counterDataImagePrefix)
{
CUpti_Profiler_CounterDataImageOptions counterDataImageOptions;
counterDataImageOptions.pCounterDataPrefix = &counterDataImagePrefix[0];
counterDataImageOptions.counterDataPrefixSize = counterDataImagePrefix.size();
counterDataImageOptions.maxNumRanges = numRanges;
counterDataImageOptions.maxNumRangeTreeNodes = numRanges;
counterDataImageOptions.maxRangeNameLength = 64;
CUpti_Profiler_CounterDataImage_CalculateSize_Params calculateSizeParams = {CUpti_Profiler_CounterDataImage_CalculateSize_Params_STRUCT_SIZE};
calculateSizeParams.pOptions = &counterDataImageOptions;
calculateSizeParams.sizeofCounterDataImageOptions = CUpti_Profiler_CounterDataImageOptions_STRUCT_SIZE;
CUPTI_API_CALL(cuptiProfilerCounterDataImageCalculateSize(&calculateSizeParams));
CUpti_Profiler_CounterDataImage_Initialize_Params initializeParams = {CUpti_Profiler_CounterDataImage_Initialize_Params_STRUCT_SIZE};
initializeParams.sizeofCounterDataImageOptions = CUpti_Profiler_CounterDataImageOptions_STRUCT_SIZE;
initializeParams.pOptions = &counterDataImageOptions;
initializeParams.counterDataImageSize = calculateSizeParams.counterDataImageSize;
counterDataImage.resize(calculateSizeParams.counterDataImageSize);
initializeParams.pCounterDataImage = &counterDataImage[0];
CUPTI_API_CALL(cuptiProfilerCounterDataImageInitialize(&initializeParams));
CUpti_Profiler_CounterDataImage_CalculateScratchBufferSize_Params scratchBufferSizeParams = {CUpti_Profiler_CounterDataImage_CalculateScratchBufferSize_Params_STRUCT_SIZE};
scratchBufferSizeParams.counterDataImageSize = calculateSizeParams.counterDataImageSize;
scratchBufferSizeParams.pCounterDataImage = initializeParams.pCounterDataImage;
CUPTI_API_CALL(cuptiProfilerCounterDataImageCalculateScratchBufferSize(&scratchBufferSizeParams));
counterDataScratchBuffer.resize(scratchBufferSizeParams.counterDataScratchBufferSize);
CUpti_Profiler_CounterDataImage_InitializeScratchBuffer_Params initScratchBufferParams = {CUpti_Profiler_CounterDataImage_InitializeScratchBuffer_Params_STRUCT_SIZE};
initScratchBufferParams.counterDataImageSize = calculateSizeParams.counterDataImageSize;
initScratchBufferParams.pCounterDataImage = initializeParams.pCounterDataImage;
initScratchBufferParams.counterDataScratchBufferSize = scratchBufferSizeParams.counterDataScratchBufferSize;
initScratchBufferParams.pCounterDataScratchBuffer = &counterDataScratchBuffer[0];
CUPTI_API_CALL(cuptiProfilerCounterDataImageInitializeScratchBuffer(&initScratchBufferParams));
return true;
}
bool runTest(std::vector<uint8_t>& configImage,
std::vector<uint8_t>& counterDataScratchBuffer,
std::vector<uint8_t>& counterDataImage,
CUpti_ProfilerReplayMode profilerReplayMode,
CUpti_ProfilerRange profilerRange)
{
CUcontext cuContext;
DRIVER_API_CALL(cuCtxGetCurrent(&cuContext));
CUpti_Profiler_BeginSession_Params beginSessionParams = { CUpti_Profiler_BeginSession_Params_STRUCT_SIZE };
beginSessionParams.ctx = cuContext;
beginSessionParams.counterDataImageSize = counterDataImage.size();
beginSessionParams.pCounterDataImage = &counterDataImage[0];
beginSessionParams.counterDataScratchBufferSize = counterDataScratchBuffer.size();
beginSessionParams.pCounterDataScratchBuffer = &counterDataScratchBuffer[0];
beginSessionParams.range = profilerRange;
beginSessionParams.replayMode = profilerReplayMode;
beginSessionParams.maxRangesPerPass = numRanges;
beginSessionParams.maxLaunchesPerPass = numRanges;
CUPTI_API_CALL(cuptiProfilerBeginSession(&beginSessionParams));
CUpti_Profiler_SetConfig_Params setConfigParams = { CUpti_Profiler_SetConfig_Params_STRUCT_SIZE };
setConfigParams.pConfig = &configImage[0];
setConfigParams.configSize = configImage.size();
setConfigParams.passIndex = 0;
setConfigParams.minNestingLevel = 1;
setConfigParams.numNestingLevels = numNestingLevels;
CUPTI_API_CALL(cuptiProfilerSetConfig(&setConfigParams));
/* User takes the resposiblity of replaying the kernel launches */
CUpti_Profiler_BeginPass_Params beginPassParams = { CUpti_Profiler_BeginPass_Params_STRUCT_SIZE };
CUpti_Profiler_EndPass_Params endPassParams = { CUpti_Profiler_EndPass_Params_STRUCT_SIZE };
do
{
CUPTI_API_CALL(cuptiProfilerBeginPass(&beginPassParams));
{
CUpti_Profiler_EnableProfiling_Params enableProfilingParams = { CUpti_Profiler_EnableProfiling_Params_STRUCT_SIZE };
CUPTI_API_CALL(cuptiProfilerEnableProfiling(&enableProfilingParams));
CUpti_Profiler_PushRange_Params pushRangeParams = { CUpti_Profiler_PushRange_Params_STRUCT_SIZE };
pushRangeParams.pRangeName = "userRangeA";
printf("\nStart of userRangeA\n");
CUPTI_API_CALL(cuptiProfilerPushRange(&pushRangeParams));
{
VectorProcess(50000, eVectorOperationType::VEC_ADD);
// Nested range start
pushRangeParams.pRangeName = "userRangeB";
printf("Start of userRangeB\n");
CUPTI_API_CALL(cuptiProfilerPushRange(&pushRangeParams));
{
VectorProcess(10000, eVectorOperationType::VEC_SUB);
}
CUpti_Profiler_PopRange_Params popRangeParams = { CUpti_Profiler_PopRange_Params_STRUCT_SIZE };
printf("End of userRangeB\n");
CUPTI_API_CALL(cuptiProfilerPopRange(&popRangeParams));
// Nested range End
}
CUpti_Profiler_PopRange_Params popRangeParams = { CUpti_Profiler_PopRange_Params_STRUCT_SIZE };
printf("End of userRangeA\n");
CUPTI_API_CALL(cuptiProfilerPopRange(&popRangeParams));
CUpti_Profiler_DisableProfiling_Params disableProfilingParams = { CUpti_Profiler_DisableProfiling_Params_STRUCT_SIZE };
CUPTI_API_CALL(cuptiProfilerDisableProfiling(&disableProfilingParams));
}
CUPTI_API_CALL(cuptiProfilerEndPass(&endPassParams));
} while (!endPassParams.allPassesSubmitted);
CUpti_Profiler_FlushCounterData_Params flushCounterDataParams = {CUpti_Profiler_FlushCounterData_Params_STRUCT_SIZE};
CUPTI_API_CALL(cuptiProfilerFlushCounterData(&flushCounterDataParams));
CUpti_Profiler_UnsetConfig_Params unsetConfigParams = {CUpti_Profiler_UnsetConfig_Params_STRUCT_SIZE};
CUPTI_API_CALL(cuptiProfilerUnsetConfig(&unsetConfigParams));
CUpti_Profiler_EndSession_Params endSessionParams = {CUpti_Profiler_EndSession_Params_STRUCT_SIZE};
CUPTI_API_CALL(cuptiProfilerEndSession(&endSessionParams));
return true;
}
int main(int argc, char* argv[])
{
CUdevice cuDevice;
std::vector<std::string> metricNames;
std::vector<uint8_t> counterDataImagePrefix;
std::vector<uint8_t> configImage;
std::vector<uint8_t> counterDataImage;
std::vector<uint8_t> counterDataScratchBuffer;
std::vector<uint8_t> counterAvailabilityImage;
std::string CounterDataFileName("SimpleCupti.counterdata");
std::string CounterDataSBFileName("SimpleCupti.counterdataSB");
CUpti_ProfilerReplayMode profilerReplayMode = CUPTI_UserReplay;
CUpti_ProfilerRange profilerRange = CUPTI_UserRange;
char* metricName;
int deviceCount, deviceNum;
int computeCapabilityMajor = 0, computeCapabilityMinor = 0;
printf("Usage: %s [device_num] [metric_names comma separated]\n", argv[0]);
DRIVER_API_CALL(cuInit(0));
DRIVER_API_CALL(cuDeviceGetCount(&deviceCount));
if (deviceCount == 0)
{
printf("There is no device supporting CUDA.\n");
exit(EXIT_WAIVED);
}
if (argc > 1)
deviceNum = atoi(argv[1]);
else
deviceNum = 0;
printf("CUDA Device Number: %d\n", deviceNum);
DRIVER_API_CALL(cuDeviceGet(&cuDevice, deviceNum));
DRIVER_API_CALL(cuDeviceGetAttribute(&computeCapabilityMajor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cuDevice));
DRIVER_API_CALL(cuDeviceGetAttribute(&computeCapabilityMinor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, cuDevice));
printf("Compute Capability of Device: %d.%d\n", computeCapabilityMajor,computeCapabilityMinor);
// Initialize profiler API and test device compatibility
CUpti_Profiler_Initialize_Params profilerInitializeParams = { CUpti_Profiler_Initialize_Params_STRUCT_SIZE };
CUPTI_API_CALL(cuptiProfilerInitialize(&profilerInitializeParams));
CUpti_Profiler_DeviceSupported_Params params = { CUpti_Profiler_DeviceSupported_Params_STRUCT_SIZE };
params.cuDevice = deviceNum;
CUPTI_API_CALL(cuptiProfilerDeviceSupported(¶ms));
if (params.isSupported != CUPTI_PROFILER_CONFIGURATION_SUPPORTED)
{
::std::cerr << "Unable to profile on device " << deviceNum << ::std::endl;
if (params.architecture == CUPTI_PROFILER_CONFIGURATION_UNSUPPORTED)
{
::std::cerr << "\tdevice architecture is not supported" << ::std::endl;
}
if (params.sli == CUPTI_PROFILER_CONFIGURATION_UNSUPPORTED)
{
::std::cerr << "\tdevice sli configuration is not supported" << ::std::endl;
}
if (params.vGpu == CUPTI_PROFILER_CONFIGURATION_UNSUPPORTED)
{
::std::cerr << "\tdevice vgpu configuration is not supported" << ::std::endl;
}
else if (params.vGpu == CUPTI_PROFILER_CONFIGURATION_DISABLED)
{
::std::cerr << "\tdevice vgpu configuration disabled profiling support" << ::std::endl;
}
if (params.confidentialCompute == CUPTI_PROFILER_CONFIGURATION_UNSUPPORTED)
{
::std::cerr << "\tdevice confidential compute configuration is not supported" << ::std::endl;
}
if (params.cmp == CUPTI_PROFILER_CONFIGURATION_UNSUPPORTED)
{
::std::cerr << "\tNVIDIA Crypto Mining Processors (CMP) are not supported" << ::std::endl;
}
exit(EXIT_WAIVED);
}
// Get the names of the metrics to collect
if (argc > 2)
{
metricName = strtok(argv[2], ",");
while(metricName != NULL)
{
metricNames.push_back(metricName);
metricName = strtok(NULL, ",");
}
}
else {
metricNames.push_back(DEFAULT_METRIC_NAME);
}
CUcontext cuContext;
DRIVER_API_CALL(cuCtxCreate(&cuContext, 0, cuDevice));
/* Get chip name for the cuda device */
CUpti_Device_GetChipName_Params getChipNameParams = { CUpti_Device_GetChipName_Params_STRUCT_SIZE };
getChipNameParams.deviceIndex = deviceNum;
CUPTI_API_CALL(cuptiDeviceGetChipName(&getChipNameParams));
std::string chipName(getChipNameParams.pChipName);
CUpti_Profiler_GetCounterAvailability_Params getCounterAvailabilityParams = { CUpti_Profiler_GetCounterAvailability_Params_STRUCT_SIZE };
getCounterAvailabilityParams.ctx = cuContext;
CUPTI_API_CALL(cuptiProfilerGetCounterAvailability(&getCounterAvailabilityParams));
counterAvailabilityImage.clear();
counterAvailabilityImage.resize(getCounterAvailabilityParams.counterAvailabilityImageSize);
getCounterAvailabilityParams.pCounterAvailabilityImage = counterAvailabilityImage.data();
CUPTI_API_CALL(cuptiProfilerGetCounterAvailability(&getCounterAvailabilityParams));
/* Generate configuration for metrics, this can also be done offline*/
NVPW_InitializeHost_Params initializeHostParams = { NVPW_InitializeHost_Params_STRUCT_SIZE };
RETURN_IF_NVPW_ERROR(0, NVPW_InitializeHost(&initializeHostParams));
if (metricNames.size())
{
if (!NV::Metric::Config::GetConfigImage(chipName, metricNames, configImage, counterAvailabilityImage.data()))
{
std::cerr << "Failed to create configImage" << std::endl;
exit(EXIT_FAILURE);
}
if (!NV::Metric::Config::GetCounterDataPrefixImage(chipName, metricNames, counterDataImagePrefix))
{
std::cerr << "Failed to create counterDataImagePrefix" << std::endl;
exit(EXIT_FAILURE);
}
}
else
{
std::cerr << "No metrics provided to profile" << std::endl;
exit(EXIT_FAILURE);
}
if (!CreateCounterDataImage(counterDataImage, counterDataScratchBuffer, counterDataImagePrefix))
{
std::cerr << "Failed to create counterDataImage" << std::endl;
exit(EXIT_FAILURE);
}
if (!runTest(configImage, counterDataScratchBuffer, counterDataImage, profilerReplayMode, profilerRange))
{
std::cerr << "Failed to run sample" << std::endl;
exit(EXIT_FAILURE);
}
CUpti_Profiler_DeInitialize_Params profilerDeInitializeParams = {CUpti_Profiler_DeInitialize_Params_STRUCT_SIZE};
CUPTI_API_CALL(cuptiProfilerDeInitialize(&profilerDeInitializeParams));
DRIVER_API_CALL(cuCtxDestroy(cuContext));
/* Dump counterDataImage in file */
WriteBinaryFile(CounterDataFileName.c_str(), counterDataImage);
WriteBinaryFile(CounterDataSBFileName.c_str(), counterDataScratchBuffer);
/* Evaluation of metrics collected in counterDataImage, this can also be done offline*/
NV::Metric::Eval::PrintMetricValues(chipName, counterDataImage, metricNames);
exit(EXIT_SUCCESS);
}
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