mirror of
https://github.com/NVIDIA/cuda-samples.git
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310 lines
8.6 KiB
C++
310 lines
8.6 KiB
C++
/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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// Utilities and System includes
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// Includes
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#include <curand.h>
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#include <stdexcept>
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#include <sstream>
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#include "rng.h"
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// Shared Library Test Functions
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#include <helper_timer.h>
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#include <helper_cuda.h>
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const unsigned int RNG::s_maxQrngDimensions = 20000;
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RNG::RNG(unsigned long prngSeed, unsigned int qrngDimensions,
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unsigned int nSamples)
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: m_prngSeed(prngSeed),
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m_qrngDimensions(qrngDimensions),
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m_nSamplesBatchTarget(nSamples),
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m_nSamplesRemaining(0) {
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using std::invalid_argument;
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using std::runtime_error;
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using std::string;
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if (m_prngSeed == 0) {
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throw invalid_argument("PRNG seed must be non-zero");
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}
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if (m_qrngDimensions == 0) {
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throw invalid_argument("QRNG dimensions must be non-zero");
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}
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if (m_nSamplesBatchTarget == 0) {
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throw invalid_argument("RNG batch size must be non-zero");
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}
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if (m_nSamplesBatchTarget < s_maxQrngDimensions) {
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throw invalid_argument(
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"RNG batch size must be greater than RNG::s_maxQrngDimensions");
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}
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curandStatus_t curandResult;
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cudaError_t cudaResult;
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// Allocate sample array in host mem
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m_h_samples = (float *)malloc(m_nSamplesBatchTarget * sizeof(float));
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if (m_h_samples == NULL) {
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throw runtime_error("Could not allocate host memory for RNG::m_h_samples");
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}
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// Allocate sample array in device mem
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cudaResult =
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cudaMalloc((void **)&m_d_samples, m_nSamplesBatchTarget * sizeof(float));
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if (cudaResult != cudaSuccess) {
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string msg("Could not allocate device memory for RNG::m_d_samples: ");
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msg += cudaGetErrorString(cudaResult);
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throw runtime_error(msg);
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}
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// Create the Random Number Generators
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curandResult = curandCreateGenerator(&m_prng, CURAND_RNG_PSEUDO_XORWOW);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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string msg("Could not create pseudo-random number generator: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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curandResult = curandCreateGenerator(&m_qrng, CURAND_RNG_QUASI_SOBOL32);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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string msg("Could not create quasi-random number generator: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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curandResult =
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curandCreateGenerator(&m_sqrng, CURAND_RNG_QUASI_SCRAMBLED_SOBOL32);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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string msg("Could not create scrambled quasi-random number generator: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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// Setup initial parameters
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resetSeed();
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updateDimensions();
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setBatchSize();
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// Set default RNG to be pseudo-random (XORWOW)
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m_pCurrent = &m_prng;
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}
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RNG::~RNG() {
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curandDestroyGenerator(m_prng);
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curandDestroyGenerator(m_qrng);
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curandDestroyGenerator(m_sqrng);
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if (m_d_samples) {
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cudaFree(m_d_samples);
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}
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if (m_h_samples) {
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free(m_h_samples);
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}
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}
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void RNG::generateBatch(void) {
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using std::runtime_error;
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using std::string;
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cudaError_t cudaResult;
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curandStatus_t curandResult;
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// Generate random numbers
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curandResult =
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curandGenerateUniform(*m_pCurrent, m_d_samples, m_nSamplesBatchActual);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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string msg("Could not generate random numbers: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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// Copy random numbers to host
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cudaResult =
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cudaMemcpy(m_h_samples, m_d_samples,
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m_nSamplesBatchActual * sizeof(float), cudaMemcpyDeviceToHost);
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if (cudaResult != cudaSuccess) {
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string msg("Could not copy random numbers to host: ");
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msg += cudaGetErrorString(cudaResult);
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throw runtime_error(msg);
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}
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}
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float RNG::getNextU01(void) {
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if (m_nSamplesRemaining == 0) {
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generateBatch();
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m_nSamplesRemaining = m_nSamplesBatchActual;
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}
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if (m_pCurrent == &m_prng) {
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return m_h_samples[m_nSamplesBatchActual - m_nSamplesRemaining--];
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} else {
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unsigned int index = m_nSamplesBatchActual - m_nSamplesRemaining--;
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unsigned int samplesPerDim = m_nSamplesBatchActual / m_qrngDimensions;
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unsigned int dimOffset = (index % m_qrngDimensions) * samplesPerDim;
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unsigned int drawOffset = index / m_qrngDimensions;
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return m_h_samples[dimOffset + drawOffset];
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}
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}
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void RNG::getInfoString(std::string &msg) {
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using std::stringstream;
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stringstream ss;
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if (m_pCurrent == &m_prng) {
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ss << "XORWOW (seed=" << m_prngSeed << ")";
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} else if (m_pCurrent == &m_qrng) {
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ss << "Sobol (dimensions=" << m_qrngDimensions << ")";
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} else if (m_pCurrent == &m_sqrng) {
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ss << "Scrambled Sobol (dimensions=" << m_qrngDimensions << ")";
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} else {
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ss << "Invalid RNG";
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}
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msg.assign(ss.str());
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}
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void RNG::selectRng(RNG::RngType type) {
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switch (type) {
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case Quasi:
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m_pCurrent = &m_qrng;
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break;
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case ScrambledQuasi:
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m_pCurrent = &m_sqrng;
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break;
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case Pseudo:
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default:
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m_pCurrent = &m_prng;
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break;
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}
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setBatchSize();
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}
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void RNG::resetSeed(void) {
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using std::runtime_error;
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curandStatus_t curandResult;
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curandResult = curandSetPseudoRandomGeneratorSeed(m_prng, m_prngSeed);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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std::string msg("Could not set pseudo-random number generator seed: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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curandResult = curandSetGeneratorOffset(m_prng, 0);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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std::string msg("Could not set pseudo-random number generator offset: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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setBatchSize();
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}
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void RNG::resetDimensions(void) {
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m_qrngDimensions = 1;
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updateDimensions();
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setBatchSize();
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}
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void RNG::incrementDimensions(void) {
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if (++m_qrngDimensions > s_maxQrngDimensions) {
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m_qrngDimensions = 1;
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}
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updateDimensions();
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setBatchSize();
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}
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void RNG::updateDimensions(void) {
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using std::runtime_error;
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curandStatus_t curandResult;
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curandResult =
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curandSetQuasiRandomGeneratorDimensions(m_qrng, m_qrngDimensions);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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std::string msg("Could not set quasi-random number generator dimensions: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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curandResult = curandSetGeneratorOffset(m_qrng, 0);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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std::string msg("Could not set quasi-random number generator offset: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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curandResult =
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curandSetQuasiRandomGeneratorDimensions(m_sqrng, m_qrngDimensions);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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std::string msg(
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"Could not set scrambled quasi-random number generator dimensions: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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curandResult = curandSetGeneratorOffset(m_sqrng, 0);
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if (curandResult != CURAND_STATUS_SUCCESS) {
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std::string msg(
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"Could not set scrambled quasi-random number generator offset: ");
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msg += curandResult;
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throw runtime_error(msg);
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}
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}
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void RNG::setBatchSize(void) {
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if (m_pCurrent == &m_prng) {
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m_nSamplesBatchActual = m_nSamplesBatchTarget;
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} else {
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m_nSamplesBatchActual =
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(m_nSamplesBatchTarget / m_qrngDimensions) * m_qrngDimensions;
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}
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m_nSamplesRemaining = 0;
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}
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