Spaces:
Runtime error
Runtime error
/****************************************************************************** | |
* Copyright (c) 2011, Duane Merrill. All rights reserved. | |
* Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved. | |
* | |
* Redistribution and use in source and binary forms, with or without | |
* modification, are permitted provided that the following conditions are met: | |
* * Redistributions of source code must retain the above copyright | |
* notice, this list of conditions and the following disclaimer. | |
* * Redistributions in binary form must reproduce the above copyright | |
* notice, this list of conditions and the following disclaimer in the | |
* documentation and/or other materials provided with the distribution. | |
* * Neither the name of the NVIDIA CORPORATION nor the | |
* names of its contributors may be used to endorse or promote products | |
* derived from this software without specific prior written permission. | |
* | |
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND | |
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED | |
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | |
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY | |
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES | |
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | |
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND | |
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | |
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS | |
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
* | |
******************************************************************************/ | |
/****************************************************************************** | |
* Test of DeviceSelect::Unique utilities | |
******************************************************************************/ | |
// Ensure printing of CUDA runtime errors to console | |
#define CUB_STDERR | |
#include <stdio.h> | |
#include <typeinfo> | |
#include <thrust/device_ptr.h> | |
#include <thrust/unique.h> | |
#include <cub/util_allocator.cuh> | |
#include <cub/iterator/counting_input_iterator.cuh> | |
#include <cub/device/device_select.cuh> | |
#include <thrust/device_ptr.h> | |
#include <thrust/unique.h> | |
#include "test_util.h" | |
using namespace cub; | |
//--------------------------------------------------------------------- | |
// Globals, constants and typedefs | |
//--------------------------------------------------------------------- | |
bool g_verbose = false; | |
int g_timing_iterations = 0; | |
int g_repeat = 0; | |
float g_device_giga_bandwidth; | |
CachingDeviceAllocator g_allocator(true); | |
// Dispatch types | |
enum Backend | |
{ | |
CUB, // CUB method | |
THRUST, // Thrust method | |
CDP, // GPU-based (dynamic parallelism) dispatch to CUB method | |
}; | |
//--------------------------------------------------------------------- | |
// Dispatch to different CUB DeviceSelect entrypoints | |
//--------------------------------------------------------------------- | |
/** | |
* Dispatch to unique entrypoint | |
*/ | |
template <typename InputIteratorT, typename OutputIteratorT, typename NumSelectedIteratorT, typename OffsetT> | |
CUB_RUNTIME_FUNCTION __forceinline__ | |
cudaError_t Dispatch( | |
Int2Type<CUB> /*dispatch_to*/, | |
int timing_timing_iterations, | |
size_t */*d_temp_storage_bytes*/, | |
cudaError_t */*d_cdp_error*/, | |
void* d_temp_storage, | |
size_t &temp_storage_bytes, | |
InputIteratorT d_in, | |
OutputIteratorT d_out, | |
NumSelectedIteratorT d_num_selected_out, | |
OffsetT num_items, | |
cudaStream_t stream, | |
bool debug_synchronous) | |
{ | |
cudaError_t error = cudaSuccess; | |
for (int i = 0; i < timing_timing_iterations; ++i) | |
{ | |
error = DeviceSelect::Unique(d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, stream, debug_synchronous); | |
} | |
return error; | |
} | |
//--------------------------------------------------------------------- | |
// Dispatch to different Thrust entrypoints | |
//--------------------------------------------------------------------- | |
/** | |
* Dispatch to unique entrypoint | |
*/ | |
template <typename InputIteratorT, typename OutputIteratorT, typename NumSelectedIteratorT, typename OffsetT> | |
__host__ __forceinline__ | |
cudaError_t Dispatch( | |
Int2Type<THRUST> /*dispatch_to*/, | |
int timing_timing_iterations, | |
size_t */*d_temp_storage_bytes*/, | |
cudaError_t */*d_cdp_error*/, | |
void *d_temp_storage, | |
size_t &temp_storage_bytes, | |
InputIteratorT d_in, | |
OutputIteratorT d_out, | |
NumSelectedIteratorT d_num_selected_out, | |
OffsetT num_items, | |
cudaStream_t /*stream*/, | |
bool /*debug_synchronous*/) | |
{ | |
// The input value type | |
typedef typename std::iterator_traits<InputIteratorT>::value_type InputT; | |
// The output value type | |
typedef typename If<(Equals<typename std::iterator_traits<OutputIteratorT>::value_type, void>::VALUE), // OutputT = (if output iterator's value type is void) ? | |
typename std::iterator_traits<InputIteratorT>::value_type, // ... then the input iterator's value type, | |
typename std::iterator_traits<OutputIteratorT>::value_type>::Type OutputT; // ... else the output iterator's value type | |
if (d_temp_storage == 0) | |
{ | |
temp_storage_bytes = 1; | |
} | |
else | |
{ | |
thrust::device_ptr<OutputT> d_out_wrapper_end; | |
thrust::device_ptr<InputT> d_in_wrapper(d_in); | |
thrust::device_ptr<OutputT> d_out_wrapper(d_out); | |
for (int i = 0; i < timing_timing_iterations; ++i) | |
{ | |
d_out_wrapper_end = thrust::unique_copy(d_in_wrapper, d_in_wrapper + num_items, d_out_wrapper); | |
} | |
OffsetT num_selected = OffsetT(d_out_wrapper_end - d_out_wrapper); | |
CubDebugExit(cudaMemcpy(d_num_selected_out, &num_selected, sizeof(OffsetT), cudaMemcpyHostToDevice)); | |
} | |
return cudaSuccess; | |
} | |
//--------------------------------------------------------------------- | |
// CUDA Nested Parallelism Test Kernel | |
//--------------------------------------------------------------------- | |
/** | |
* Simple wrapper kernel to invoke DeviceSelect | |
*/ | |
template <typename InputIteratorT, typename OutputIteratorT, typename NumSelectedIteratorT, typename OffsetT> | |
__global__ void CnpDispatchKernel( | |
int timing_timing_iterations, | |
size_t *d_temp_storage_bytes, | |
cudaError_t *d_cdp_error, | |
void* d_temp_storage, | |
size_t temp_storage_bytes, | |
InputIteratorT d_in, | |
OutputIteratorT d_out, | |
NumSelectedIteratorT d_num_selected_out, | |
OffsetT num_items, | |
bool debug_synchronous) | |
{ | |
#ifndef CUB_CDP | |
(void)timing_timing_iterations; | |
(void)d_temp_storage_bytes; | |
(void)d_cdp_error; | |
(void)d_temp_storage; | |
(void)temp_storage_bytes; | |
(void)d_in; | |
(void)d_out; | |
(void)d_num_selected_out; | |
(void)num_items; | |
(void)debug_synchronous; | |
*d_cdp_error = cudaErrorNotSupported; | |
#else | |
*d_cdp_error = Dispatch(Int2Type<CUB>(), timing_timing_iterations, d_temp_storage_bytes, d_cdp_error, | |
d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, debug_synchronous); | |
*d_temp_storage_bytes = temp_storage_bytes; | |
#endif | |
} | |
/** | |
* Dispatch to CDP kernel | |
*/ | |
template <typename InputIteratorT, typename OutputIteratorT, typename NumSelectedIteratorT, typename OffsetT> | |
cudaError_t Dispatch( | |
Int2Type<CDP> dispatch_to, | |
int timing_timing_iterations, | |
size_t *d_temp_storage_bytes, | |
cudaError_t *d_cdp_error, | |
void* d_temp_storage, | |
size_t &temp_storage_bytes, | |
InputIteratorT d_in, | |
OutputIteratorT d_out, | |
NumSelectedIteratorT d_num_selected_out, | |
OffsetT num_items, | |
cudaStream_t stream, | |
bool debug_synchronous) | |
{ | |
// Invoke kernel to invoke device-side dispatch | |
CnpDispatchKernel<<<1,1>>>(timing_timing_iterations, d_temp_storage_bytes, d_cdp_error, | |
d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, debug_synchronous); | |
// Copy out temp_storage_bytes | |
CubDebugExit(cudaMemcpy(&temp_storage_bytes, d_temp_storage_bytes, sizeof(size_t) * 1, cudaMemcpyDeviceToHost)); | |
// Copy out error | |
cudaError_t retval; | |
CubDebugExit(cudaMemcpy(&retval, d_cdp_error, sizeof(cudaError_t) * 1, cudaMemcpyDeviceToHost)); | |
return retval; | |
} | |
//--------------------------------------------------------------------- | |
// Test generation | |
//--------------------------------------------------------------------- | |
/** | |
* Initialize problem | |
*/ | |
template <typename T> | |
void Initialize( | |
int entropy_reduction, | |
T *h_in, | |
int num_items, | |
int max_segment) | |
{ | |
unsigned int max_int = (unsigned int) -1; | |
int key = 0; | |
int i = 0; | |
while (i < num_items) | |
{ | |
// Select number of repeating occurrences for the current run | |
int repeat; | |
if (max_segment < 0) | |
{ | |
repeat = num_items; | |
} | |
else if (max_segment < 2) | |
{ | |
repeat = 1; | |
} | |
else | |
{ | |
RandomBits(repeat, entropy_reduction); | |
repeat = (int) ((double(repeat) * double(max_segment)) / double(max_int)); | |
repeat = CUB_MAX(1, repeat); | |
} | |
int j = i; | |
while (j < CUB_MIN(i + repeat, num_items)) | |
{ | |
InitValue(INTEGER_SEED, h_in[j], key); | |
j++; | |
} | |
i = j; | |
key++; | |
} | |
if (g_verbose) | |
{ | |
printf("Input:\n"); | |
DisplayResults(h_in, num_items); | |
printf("\n\n"); | |
} | |
} | |
/** | |
* Solve unique problem | |
*/ | |
template < | |
typename InputIteratorT, | |
typename T> | |
int Solve( | |
InputIteratorT h_in, | |
T *h_reference, | |
int num_items) | |
{ | |
int num_selected = 0; | |
if (num_items > 0) | |
{ | |
h_reference[num_selected] = h_in[0]; | |
num_selected++; | |
} | |
for (int i = 1; i < num_items; ++i) | |
{ | |
if (h_in[i] != h_in[i - 1]) | |
{ | |
h_reference[num_selected] = h_in[i]; | |
num_selected++; | |
} | |
} | |
return num_selected; | |
} | |
/** | |
* Test DeviceSelect for a given problem input | |
*/ | |
template < | |
Backend BACKEND, | |
typename DeviceInputIteratorT, | |
typename T> | |
void Test( | |
DeviceInputIteratorT d_in, | |
T *h_reference, | |
int num_selected, | |
int num_items) | |
{ | |
// Allocate device output array and num selected | |
T *d_out = NULL; | |
int *d_num_selected_out = NULL; | |
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_out, sizeof(T) * num_items)); | |
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_num_selected_out, sizeof(int))); | |
// Allocate CDP device arrays | |
size_t *d_temp_storage_bytes = NULL; | |
cudaError_t *d_cdp_error = NULL; | |
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_temp_storage_bytes, sizeof(size_t) * 1)); | |
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_cdp_error, sizeof(cudaError_t) * 1)); | |
// Allocate temporary storage | |
void *d_temp_storage = NULL; | |
size_t temp_storage_bytes = 0; | |
CubDebugExit(Dispatch(Int2Type<BACKEND>(), 1, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, true)); | |
CubDebugExit(g_allocator.DeviceAllocate(&d_temp_storage, temp_storage_bytes)); | |
// Clear device output array | |
CubDebugExit(cudaMemset(d_out, 0, sizeof(T) * num_items)); | |
CubDebugExit(cudaMemset(d_num_selected_out, 0, sizeof(int))); | |
// Run warmup/correctness iteration | |
CubDebugExit(Dispatch(Int2Type<BACKEND>(), 1, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, true)); | |
// Check for correctness (and display results, if specified) | |
int compare1 = CompareDeviceResults(h_reference, d_out, num_selected, true, g_verbose); | |
printf("\t Data %s ", compare1 ? "FAIL" : "PASS"); | |
int compare2 = CompareDeviceResults(&num_selected, d_num_selected_out, 1, true, g_verbose); | |
printf("\t Count %s ", compare2 ? "FAIL" : "PASS"); | |
// Flush any stdout/stderr | |
fflush(stdout); | |
fflush(stderr); | |
// Performance | |
GpuTimer gpu_timer; | |
gpu_timer.Start(); | |
CubDebugExit(Dispatch(Int2Type<BACKEND>(), g_timing_iterations, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, false)); | |
gpu_timer.Stop(); | |
float elapsed_millis = gpu_timer.ElapsedMillis(); | |
// Display performance | |
if (g_timing_iterations > 0) | |
{ | |
float avg_millis = elapsed_millis / g_timing_iterations; | |
float giga_rate = float(num_items) / avg_millis / 1000.0f / 1000.0f; | |
float giga_bandwidth = float((num_items + num_selected) * sizeof(T)) / avg_millis / 1000.0f / 1000.0f; | |
printf(", %.3f avg ms, %.3f billion items/s, %.3f logical GB/s, %.1f%% peak", avg_millis, giga_rate, giga_bandwidth, giga_bandwidth / g_device_giga_bandwidth * 100.0); | |
} | |
printf("\n\n"); | |
// Flush any stdout/stderr | |
fflush(stdout); | |
fflush(stderr); | |
// Cleanup | |
if (d_out) CubDebugExit(g_allocator.DeviceFree(d_out)); | |
if (d_num_selected_out) CubDebugExit(g_allocator.DeviceFree(d_num_selected_out)); | |
if (d_temp_storage_bytes) CubDebugExit(g_allocator.DeviceFree(d_temp_storage_bytes)); | |
if (d_cdp_error) CubDebugExit(g_allocator.DeviceFree(d_cdp_error)); | |
if (d_temp_storage) CubDebugExit(g_allocator.DeviceFree(d_temp_storage)); | |
// Correctness asserts | |
AssertEquals(0, compare1 | compare2); | |
} | |
/** | |
* Test DeviceSelect on pointer type | |
*/ | |
template < | |
Backend BACKEND, | |
typename T> | |
void TestPointer( | |
int num_items, | |
int entropy_reduction, | |
int max_segment) | |
{ | |
// Allocate host arrays | |
T* h_in = new T[num_items]; | |
T* h_reference = new T[num_items]; | |
// Initialize problem and solution | |
Initialize(entropy_reduction, h_in, num_items, max_segment); | |
int num_selected = Solve(h_in, h_reference, num_items); | |
printf("\nPointer %s cub::DeviceSelect::Unique %d items, %d selected (avg run length %.3f), %s %d-byte elements, entropy_reduction %d\n", | |
(BACKEND == CDP) ? "CDP CUB" : (BACKEND == THRUST) ? "Thrust" : "CUB", | |
num_items, num_selected, float(num_items) / num_selected, | |
typeid(T).name(), | |
(int) sizeof(T), | |
entropy_reduction); | |
fflush(stdout); | |
// Allocate problem device arrays | |
T *d_in = NULL; | |
CubDebugExit(g_allocator.DeviceAllocate((void**)&d_in, sizeof(T) * num_items)); | |
// Initialize device input | |
CubDebugExit(cudaMemcpy(d_in, h_in, sizeof(T) * num_items, cudaMemcpyHostToDevice)); | |
// Run Test | |
Test<BACKEND>(d_in, h_reference, num_selected, num_items); | |
// Cleanup | |
if (h_in) delete[] h_in; | |
if (h_reference) delete[] h_reference; | |
if (d_in) CubDebugExit(g_allocator.DeviceFree(d_in)); | |
} | |
/** | |
* Test DeviceSelect on iterator type | |
*/ | |
template < | |
Backend BACKEND, | |
typename T> | |
void TestIterator( | |
int num_items) | |
{ | |
// Use a counting iterator as the input | |
CountingInputIterator<T, int> h_in(0); | |
// Allocate host arrays | |
T* h_reference = new T[num_items]; | |
// Initialize problem and solution | |
int num_selected = Solve(h_in, h_reference, num_items); | |
printf("\nIterator %s cub::DeviceSelect::Unique %d items, %d selected (avg run length %.3f), %s %d-byte elements\n", | |
(BACKEND == CDP) ? "CDP CUB" : (BACKEND == THRUST) ? "Thrust" : "CUB", | |
num_items, num_selected, float(num_items) / num_selected, | |
typeid(T).name(), | |
(int) sizeof(T)); | |
fflush(stdout); | |
// Run Test | |
Test<BACKEND>(h_in, h_reference, num_selected, num_items); | |
// Cleanup | |
if (h_reference) delete[] h_reference; | |
} | |
/** | |
* Test different gen modes | |
*/ | |
template < | |
Backend BACKEND, | |
typename T> | |
void Test( | |
int num_items) | |
{ | |
for (int max_segment = 1; ((max_segment > 0) && (max_segment < num_items)); max_segment *= 11) | |
{ | |
TestPointer<BACKEND, T>(num_items, 0, max_segment); | |
TestPointer<BACKEND, T>(num_items, 2, max_segment); | |
TestPointer<BACKEND, T>(num_items, 7, max_segment); | |
} | |
} | |
/** | |
* Test different dispatch | |
*/ | |
template < | |
typename T> | |
void TestOp( | |
int num_items) | |
{ | |
Test<CUB, T>(num_items); | |
#ifdef CUB_CDP | |
Test<CDP, T>(num_items); | |
#endif | |
} | |
/** | |
* Test different input sizes | |
*/ | |
template <typename T> | |
void Test( | |
int num_items) | |
{ | |
if (num_items < 0) | |
{ | |
TestOp<T>(0); | |
TestOp<T>(1); | |
TestOp<T>(100); | |
TestOp<T>(10000); | |
TestOp<T>(1000000); | |
} | |
else | |
{ | |
TestOp<T>(num_items); | |
} | |
} | |
//--------------------------------------------------------------------- | |
// Main | |
//--------------------------------------------------------------------- | |
/** | |
* Main | |
*/ | |
int main(int argc, char** argv) | |
{ | |
int num_items = -1; | |
int entropy_reduction = 0; | |
int maxseg = 1000; | |
// Initialize command line | |
CommandLineArgs args(argc, argv); | |
g_verbose = args.CheckCmdLineFlag("v"); | |
args.GetCmdLineArgument("n", num_items); | |
args.GetCmdLineArgument("i", g_timing_iterations); | |
args.GetCmdLineArgument("repeat", g_repeat); | |
args.GetCmdLineArgument("maxseg", maxseg); | |
args.GetCmdLineArgument("entropy", entropy_reduction); | |
// Print usage | |
if (args.CheckCmdLineFlag("help")) | |
{ | |
printf("%s " | |
"[--n=<input items> " | |
"[--i=<timing iterations> " | |
"[--device=<device-id>] " | |
"[--maxseg=<max segment length>]" | |
"[--entropy=<segment length bit entropy reduction rounds>]" | |
"[--repeat=<repetitions of entire test suite>]" | |
"[--v] " | |
"[--cdp]" | |
"\n", argv[0]); | |
exit(0); | |
} | |
// Initialize device | |
CubDebugExit(args.DeviceInit()); | |
g_device_giga_bandwidth = args.device_giga_bandwidth; | |
printf("\n"); | |
#ifdef QUICKER_TEST | |
// Compile/run basic CUB test | |
if (num_items < 0) num_items = 32000000; | |
TestPointer<CUB, int>( num_items, entropy_reduction, maxseg); | |
#elif defined(QUICK_TEST) | |
// Get device ordinal | |
int device_ordinal; | |
CubDebugExit(cudaGetDevice(&device_ordinal)); | |
// Get device SM version | |
int sm_version; | |
CubDebugExit(SmVersion(sm_version, device_ordinal)); | |
// Compile/run quick tests | |
if (num_items < 0) num_items = 32000000; | |
printf("-- Iterator ----------------------------\n"); | |
TestIterator<CUB, int>( num_items); | |
printf("----------------------------\n"); | |
TestPointer<CUB, char>( num_items * ((sm_version <= 130) ? 1 : 4), entropy_reduction, maxseg); | |
TestPointer<THRUST, char>( num_items * ((sm_version <= 130) ? 1 : 4), entropy_reduction, maxseg); | |
printf("----------------------------\n"); | |
TestPointer<CUB, short>( num_items * ((sm_version <= 130) ? 1 : 2), entropy_reduction, maxseg); | |
TestPointer<THRUST, short>( num_items * ((sm_version <= 130) ? 1 : 2), entropy_reduction, maxseg); | |
printf("----------------------------\n"); | |
TestPointer<CUB, int>( num_items, entropy_reduction, maxseg); | |
TestPointer<THRUST, int>( num_items, entropy_reduction, maxseg); | |
printf("----------------------------\n"); | |
TestPointer<CUB, long long>( num_items / 2, entropy_reduction, maxseg); | |
TestPointer<THRUST, long long>(num_items / 2, entropy_reduction, maxseg); | |
printf("----------------------------\n"); | |
TestPointer<CUB, TestFoo>( num_items / 4, entropy_reduction, maxseg); | |
TestPointer<THRUST, TestFoo>( num_items / 4, entropy_reduction, maxseg); | |
#else | |
// Compile/run thorough tests | |
for (int i = 0; i <= g_repeat; ++i) | |
{ | |
// Test different input types | |
Test<unsigned char>(num_items); | |
Test<unsigned short>(num_items); | |
Test<unsigned int>(num_items); | |
Test<unsigned long long>(num_items); | |
Test<uchar2>(num_items); | |
Test<ushort2>(num_items); | |
Test<uint2>(num_items); | |
Test<ulonglong2>(num_items); | |
Test<uchar4>(num_items); | |
Test<ushort4>(num_items); | |
Test<uint4>(num_items); | |
Test<ulonglong4>(num_items); | |
Test<TestFoo>(num_items); | |
Test<TestBar>(num_items); | |
} | |
#endif | |
return 0; | |
} | |