/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's 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. // // * The name of the copyright holders may not 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 the Intel Corporation or contributors 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. // //M*/ #if !defined CUDA_DISABLER #include "TestCompact.h" TestCompact::TestCompact(std::string testName_, NCVTestSourceProvider &src_, Ncv32u length_, Ncv32u badElem_, Ncv32u badElemPercentage_) : NCVTestProvider(testName_), src(src_), length(length_), badElem(badElem_), badElemPercentage(badElemPercentage_ > 100 ? 100 : badElemPercentage_) { } bool TestCompact::toString(std::ofstream &strOut) { strOut << "length=" << length << std::endl; strOut << "badElem=" << badElem << std::endl; strOut << "badElemPercentage=" << badElemPercentage << std::endl; return true; } bool TestCompact::init() { return true; } bool TestCompact::process() { NCVStatus ncvStat; bool rcode = false; NCVVectorAlloc h_vecSrc(*this->allocatorCPU.get(), this->length); ncvAssertReturn(h_vecSrc.isMemAllocated(), false); NCVVectorAlloc d_vecSrc(*this->allocatorGPU.get(), this->length); ncvAssertReturn(d_vecSrc.isMemAllocated(), false); NCVVectorAlloc h_vecDst(*this->allocatorCPU.get(), this->length); ncvAssertReturn(h_vecDst.isMemAllocated(), false); NCVVectorAlloc d_vecDst(*this->allocatorGPU.get(), this->length); ncvAssertReturn(d_vecDst.isMemAllocated(), false); NCVVectorAlloc h_vecDst_d(*this->allocatorCPU.get(), this->length); ncvAssertReturn(h_vecDst_d.isMemAllocated(), false); NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting()); NCV_SKIP_COND_BEGIN ncvAssertReturn(this->src.fill(h_vecSrc), false); for (Ncv32u i=0; ilength; i++) { Ncv32u tmp = (h_vecSrc.ptr()[i]) & 0xFF; tmp = tmp * 99 / 255; if (tmp < this->badElemPercentage) { h_vecSrc.ptr()[i] = this->badElem; } } NCV_SKIP_COND_END NCVVectorAlloc h_dstLen(*this->allocatorCPU.get(), 1); ncvAssertReturn(h_dstLen.isMemAllocated(), false); Ncv32u bufSize; ncvStat = nppsStCompactGetSize_32u(this->length, &bufSize, this->devProp); ncvAssertReturn(NPPST_SUCCESS == ncvStat, false); NCVVectorAlloc d_tmpBuf(*this->allocatorGPU.get(), bufSize); ncvAssertReturn(d_tmpBuf.isMemAllocated(), false); Ncv32u h_outElemNum_h = 0; NCV_SKIP_COND_BEGIN ncvStat = h_vecSrc.copySolid(d_vecSrc, 0); ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); ncvStat = nppsStCompact_32u(d_vecSrc.ptr(), this->length, d_vecDst.ptr(), h_dstLen.ptr(), this->badElem, d_tmpBuf.ptr(), bufSize, this->devProp); ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); ncvStat = d_vecDst.copySolid(h_vecDst_d, 0); ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); ncvStat = nppsStCompact_32u_host(h_vecSrc.ptr(), this->length, h_vecDst.ptr(), &h_outElemNum_h, this->badElem); ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); NCV_SKIP_COND_END //bit-to-bit check bool bLoopVirgin = true; NCV_SKIP_COND_BEGIN if (h_dstLen.ptr()[0] != h_outElemNum_h) { bLoopVirgin = false; } else { for (Ncv32u i=0; bLoopVirgin && i < h_outElemNum_h; i++) { if (h_vecDst.ptr()[i] != h_vecDst_d.ptr()[i]) { bLoopVirgin = false; } } } NCV_SKIP_COND_END if (bLoopVirgin) { rcode = true; } return rcode; } bool TestCompact::deinit() { return true; } #endif /* CUDA_DISABLER */