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165 lines
5.6 KiB
C++
165 lines
5.6 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#if !defined CUDA_DISABLER
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#include "TestCompact.h"
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TestCompact::TestCompact(std::string testName_, NCVTestSourceProvider<Ncv32u> &src_,
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Ncv32u length_, Ncv32u badElem_, Ncv32u badElemPercentage_)
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:
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NCVTestProvider(testName_),
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src(src_),
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length(length_),
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badElem(badElem_),
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badElemPercentage(badElemPercentage_ > 100 ? 100 : badElemPercentage_)
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{
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}
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bool TestCompact::toString(std::ofstream &strOut)
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{
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strOut << "length=" << length << std::endl;
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strOut << "badElem=" << badElem << std::endl;
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strOut << "badElemPercentage=" << badElemPercentage << std::endl;
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return true;
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}
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bool TestCompact::init()
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{
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return true;
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}
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bool TestCompact::process()
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{
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NCVStatus ncvStat;
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bool rcode = false;
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NCVVectorAlloc<Ncv32u> h_vecSrc(*this->allocatorCPU.get(), this->length);
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ncvAssertReturn(h_vecSrc.isMemAllocated(), false);
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NCVVectorAlloc<Ncv32u> d_vecSrc(*this->allocatorGPU.get(), this->length);
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ncvAssertReturn(d_vecSrc.isMemAllocated(), false);
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NCVVectorAlloc<Ncv32u> h_vecDst(*this->allocatorCPU.get(), this->length);
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ncvAssertReturn(h_vecDst.isMemAllocated(), false);
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NCVVectorAlloc<Ncv32u> d_vecDst(*this->allocatorGPU.get(), this->length);
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ncvAssertReturn(d_vecDst.isMemAllocated(), false);
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NCVVectorAlloc<Ncv32u> h_vecDst_d(*this->allocatorCPU.get(), this->length);
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ncvAssertReturn(h_vecDst_d.isMemAllocated(), false);
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NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
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NCV_SKIP_COND_BEGIN
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ncvAssertReturn(this->src.fill(h_vecSrc), false);
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for (Ncv32u i=0; i<this->length; i++)
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{
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Ncv32u tmp = (h_vecSrc.ptr()[i]) & 0xFF;
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tmp = tmp * 99 / 255;
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if (tmp < this->badElemPercentage)
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{
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h_vecSrc.ptr()[i] = this->badElem;
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}
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}
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NCV_SKIP_COND_END
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NCVVectorAlloc<Ncv32u> h_dstLen(*this->allocatorCPU.get(), 1);
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ncvAssertReturn(h_dstLen.isMemAllocated(), false);
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Ncv32u bufSize;
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ncvStat = nppsStCompactGetSize_32u(this->length, &bufSize, this->devProp);
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ncvAssertReturn(NPPST_SUCCESS == ncvStat, false);
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NCVVectorAlloc<Ncv8u> d_tmpBuf(*this->allocatorGPU.get(), bufSize);
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ncvAssertReturn(d_tmpBuf.isMemAllocated(), false);
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Ncv32u h_outElemNum_h = 0;
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NCV_SKIP_COND_BEGIN
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ncvStat = h_vecSrc.copySolid(d_vecSrc, 0);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppsStCompact_32u(d_vecSrc.ptr(), this->length,
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d_vecDst.ptr(), h_dstLen.ptr(), this->badElem,
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d_tmpBuf.ptr(), bufSize, this->devProp);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = d_vecDst.copySolid(h_vecDst_d, 0);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppsStCompact_32u_host(h_vecSrc.ptr(), this->length, h_vecDst.ptr(), &h_outElemNum_h, this->badElem);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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NCV_SKIP_COND_END
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//bit-to-bit check
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bool bLoopVirgin = true;
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NCV_SKIP_COND_BEGIN
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if (h_dstLen.ptr()[0] != h_outElemNum_h)
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{
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bLoopVirgin = false;
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}
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else
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{
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for (Ncv32u i=0; bLoopVirgin && i < h_outElemNum_h; i++)
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{
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if (h_vecDst.ptr()[i] != h_vecDst_d.ptr()[i])
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{
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bLoopVirgin = false;
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}
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}
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}
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NCV_SKIP_COND_END
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if (bLoopVirgin)
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{
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rcode = true;
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}
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return rcode;
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}
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bool TestCompact::deinit()
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{
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return true;
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}
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#endif /* CUDA_DISABLER */
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