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tools/cub-1.8.0/test/test_block_histogram.cu
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/****************************************************************************** * 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 BlockHistogram utilities ******************************************************************************/ // Ensure printing of CUDA runtime errors to console #define CUB_STDERR #include <stdio.h> #include <limits> #include <string> #include <typeinfo> #include <cub/block/block_histogram.cuh> #include <cub/block/block_load.cuh> #include <cub/block/block_store.cuh> #include <cub/util_allocator.cuh> #include "test_util.h" using namespace cub; //--------------------------------------------------------------------- // Globals, constants and typedefs //--------------------------------------------------------------------- bool g_verbose = false; int g_timing_iterations = 0; int g_repeat = 0; CachingDeviceAllocator g_allocator(true); //--------------------------------------------------------------------- // Test kernels //--------------------------------------------------------------------- /** * BlockHistogram test kernel. */ template < int BINS, int BLOCK_THREADS, int ITEMS_PER_THREAD, BlockHistogramAlgorithm ALGORITHM, typename T, typename HistoCounter> __global__ void BlockHistogramKernel( T *d_samples, HistoCounter *d_histogram) { // Parameterize BlockHistogram type for our thread block typedef BlockHistogram<T, BLOCK_THREADS, ITEMS_PER_THREAD, BINS, ALGORITHM> BlockHistogram; // Allocate temp storage in shared memory __shared__ typename BlockHistogram::TempStorage temp_storage; // Per-thread tile data T data[ITEMS_PER_THREAD]; LoadDirectStriped<BLOCK_THREADS>(threadIdx.x, d_samples, data); // Test histo (writing directly to histogram buffer in global) BlockHistogram(temp_storage).Histogram(data, d_histogram); } /** * Initialize problem (and solution) */ template < int BINS, typename SampleT> void Initialize( GenMode gen_mode, SampleT *h_samples, int *h_histograms_linear, int num_samples) { // Init bins for (int bin = 0; bin < BINS; ++bin) { h_histograms_linear[bin] = 0; } if (g_verbose) printf("Samples: "); // Initialize interleaved channel samples and histogram them correspondingly for (int i = 0; i < num_samples; ++i) { InitValue(gen_mode, h_samples[i], i); h_samples[i] %= BINS; if (g_verbose) std::cout << CoutCast(h_samples[i]) << ", "; h_histograms_linear[h_samples[i]]++; } if (g_verbose) printf(" "); } /** * Test BlockHistogram */ template < typename SampleT, int BINS, int BLOCK_THREADS, int ITEMS_PER_THREAD, BlockHistogramAlgorithm ALGORITHM> void Test( GenMode gen_mode) { int num_samples = BLOCK_THREADS * ITEMS_PER_THREAD; printf("cub::BlockHistogram %s %d %s samples (%dB), %d bins, %d threads, gen-mode %s ", (ALGORITHM == BLOCK_HISTO_SORT) ? "BLOCK_HISTO_SORT" : "BLOCK_HISTO_ATOMIC", num_samples, typeid(SampleT).name(), (int) sizeof(SampleT), BINS, BLOCK_THREADS, (gen_mode == RANDOM) ? "RANDOM" : (gen_mode == INTEGER_SEED) ? "SEQUENTIAL" : "HOMOGENOUS"); fflush(stdout); // Allocate host arrays SampleT *h_samples = new SampleT[num_samples]; int *h_reference = new int[BINS]; // Initialize problem Initialize<BINS>(gen_mode, h_samples, h_reference, num_samples); // Allocate problem device arrays SampleT *d_samples = NULL; int *d_histogram = NULL; CubDebugExit(g_allocator.DeviceAllocate((void**)&d_samples, sizeof(SampleT) * num_samples)); CubDebugExit(g_allocator.DeviceAllocate((void**)&d_histogram, sizeof(int) * BINS)); // Initialize/clear device arrays CubDebugExit(cudaMemcpy(d_samples, h_samples, sizeof(SampleT) * num_samples, cudaMemcpyHostToDevice)); CubDebugExit(cudaMemset(d_histogram, 0, sizeof(int) * BINS)); // Run kernel BlockHistogramKernel<BINS, BLOCK_THREADS, ITEMS_PER_THREAD, ALGORITHM><<<1, BLOCK_THREADS>>>( d_samples, d_histogram); // Check for correctness (and display results, if specified) int compare = CompareDeviceResults((int*) h_reference, d_histogram, BINS, g_verbose, g_verbose); printf("\t%s ", compare ? "FAIL" : "PASS"); // Flush any stdout/stderr CubDebugExit(cudaPeekAtLastError()); CubDebugExit(cudaDeviceSynchronize()); fflush(stdout); fflush(stderr); // Cleanup if (h_samples) delete[] h_samples; if (h_reference) delete[] h_reference; if (d_samples) CubDebugExit(g_allocator.DeviceFree(d_samples)); if (d_histogram) CubDebugExit(g_allocator.DeviceFree(d_histogram)); // Correctness asserts AssertEquals(0, compare); } /** * Test different sample distributions */ template < typename SampleT, int BINS, int BLOCK_THREADS, int ITEMS_PER_THREAD, BlockHistogramAlgorithm ALGORITHM> void Test() { Test<SampleT, BINS, BLOCK_THREADS, ITEMS_PER_THREAD, ALGORITHM>(UNIFORM); Test<SampleT, BINS, BLOCK_THREADS, ITEMS_PER_THREAD, ALGORITHM>(INTEGER_SEED); Test<SampleT, BINS, BLOCK_THREADS, ITEMS_PER_THREAD, ALGORITHM>(RANDOM); } /** * Test different ALGORITHM */ template < typename SampleT, int BINS, int BLOCK_THREADS, int ITEMS_PER_THREAD> void Test() { Test<SampleT, BINS, BLOCK_THREADS, ITEMS_PER_THREAD, BLOCK_HISTO_SORT>(); Test<SampleT, BINS, BLOCK_THREADS, ITEMS_PER_THREAD, BLOCK_HISTO_ATOMIC>(); } /** * Test different ITEMS_PER_THREAD */ template < typename SampleT, int BINS, int BLOCK_THREADS> void Test() { Test<SampleT, BINS, BLOCK_THREADS, 1>(); Test<SampleT, BINS, BLOCK_THREADS, 5>(); } /** * Test different BLOCK_THREADS */ template < typename SampleT, int BINS> void Test() { Test<SampleT, BINS, 32>(); Test<SampleT, BINS, 96>(); Test<SampleT, BINS, 128>(); } //--------------------------------------------------------------------- // Main //--------------------------------------------------------------------- /** * Main */ int main(int argc, char** argv) { // Initialize command line CommandLineArgs args(argc, argv); g_verbose = args.CheckCmdLineFlag("v"); args.GetCmdLineArgument("repeat", g_repeat); // Print usage if (args.CheckCmdLineFlag("help")) { printf("%s " "[--n=<total input samples across all channels> " "[--device=<device-id>] " "[--repeat=<repetitions of entire test suite>]" "[--v] " " ", argv[0]); exit(0); } // Initialize device CubDebugExit(args.DeviceInit()); #ifdef QUICK_TEST // Compile/run quick tests Test<unsigned char, 256, 128, 4, BLOCK_HISTO_SORT>(RANDOM); Test<unsigned char, 256, 128, 4, BLOCK_HISTO_ATOMIC>(RANDOM); #else // Compile/run thorough tests for (int i = 0; i <= g_repeat; ++i) { Test<unsigned char, 32>(); Test<unsigned char, 256>(); Test<unsigned short, 1024>(); } #endif return 0; } |