mirror of
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152 lines
4.4 KiB
C++
152 lines
4.4 KiB
C++
/*
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* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
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*
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* NVIDIA Corporation and its licensors retain all intellectual
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* property and proprietary rights in and to this software and
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* related documentation and any modifications thereto.
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* Any use, reproduction, disclosure, or distribution of this
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* software and related documentation without an express license
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* agreement from NVIDIA Corporation is strictly prohibited.
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*/
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#if !defined CUDA_DISABLER
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#include <math.h>
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#include "TestTranspose.h"
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template <class T>
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TestTranspose<T>::TestTranspose(std::string testName_, NCVTestSourceProvider<T> &src_,
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Ncv32u width_, Ncv32u height_)
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:
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NCVTestProvider(testName_),
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src(src_),
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width(width_),
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height(height_)
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{
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}
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template <class T>
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bool TestTranspose<T>::toString(std::ofstream &strOut)
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{
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strOut << "sizeof(T)=" << sizeof(T) << std::endl;
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strOut << "width=" << width << std::endl;
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return true;
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}
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template <class T>
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bool TestTranspose<T>::init()
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{
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return true;
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}
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template <class T>
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bool TestTranspose<T>::process()
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{
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NCVStatus ncvStat;
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bool rcode = false;
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NcvSize32u srcSize(this->width, this->height);
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NCVMatrixAlloc<T> d_img(*this->allocatorGPU.get(), this->width, this->height);
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ncvAssertReturn(d_img.isMemAllocated(), false);
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NCVMatrixAlloc<T> h_img(*this->allocatorCPU.get(), this->width, this->height);
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ncvAssertReturn(h_img.isMemAllocated(), false);
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NCVMatrixAlloc<T> d_dst(*this->allocatorGPU.get(), this->height, this->width);
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ncvAssertReturn(d_dst.isMemAllocated(), false);
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NCVMatrixAlloc<T> h_dst(*this->allocatorCPU.get(), this->height, this->width);
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ncvAssertReturn(h_dst.isMemAllocated(), false);
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NCVMatrixAlloc<T> h_dst_d(*this->allocatorCPU.get(), this->height, this->width);
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ncvAssertReturn(h_dst_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_img), false);
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NCV_SKIP_COND_END
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ncvStat = h_img.copySolid(d_img, 0);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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NCV_SKIP_COND_BEGIN
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if (sizeof(T) == sizeof(Ncv32u))
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{
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ncvStat = nppiStTranspose_32u_C1R((Ncv32u *)d_img.ptr(), d_img.pitch(),
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(Ncv32u *)d_dst.ptr(), d_dst.pitch(),
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NcvSize32u(this->width, this->height));
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}
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else if (sizeof(T) == sizeof(Ncv64u))
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{
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ncvStat = nppiStTranspose_64u_C1R((Ncv64u *)d_img.ptr(), d_img.pitch(),
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(Ncv64u *)d_dst.ptr(), d_dst.pitch(),
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NcvSize32u(this->width, this->height));
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}
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else
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{
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ncvAssertPrintReturn(false, "Incorrect transpose test instance", false);
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}
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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NCV_SKIP_COND_END
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ncvStat = d_dst.copySolid(h_dst_d, 0);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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NCV_SKIP_COND_BEGIN
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if (sizeof(T) == sizeof(Ncv32u))
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{
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ncvStat = nppiStTranspose_32u_C1R_host((Ncv32u *)h_img.ptr(), h_img.pitch(),
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(Ncv32u *)h_dst.ptr(), h_dst.pitch(),
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NcvSize32u(this->width, this->height));
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}
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else if (sizeof(T) == sizeof(Ncv64u))
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{
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ncvStat = nppiStTranspose_64u_C1R_host((Ncv64u *)h_img.ptr(), h_img.pitch(),
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(Ncv64u *)h_dst.ptr(), h_dst.pitch(),
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NcvSize32u(this->width, this->height));
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}
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else
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{
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ncvAssertPrintReturn(false, "Incorrect downsample test instance", false);
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}
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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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//const Ncv64f relEPS = 0.005;
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for (Ncv32u i=0; bLoopVirgin && i < this->width; i++)
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{
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for (Ncv32u j=0; bLoopVirgin && j < this->height; j++)
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{
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if (h_dst.ptr()[h_dst.stride()*i+j] != h_dst_d.ptr()[h_dst_d.stride()*i+j])
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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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template <class T>
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bool TestTranspose<T>::deinit()
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{
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return true;
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}
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template class TestTranspose<Ncv32u>;
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template class TestTranspose<Ncv64u>;
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#endif /* CUDA_DISABLER */ |