mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
183 lines
6.1 KiB
183 lines
6.1 KiB
/*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 <math.h> |
|
|
|
#include "TestTranspose.h" |
|
|
|
|
|
template <class T> |
|
TestTranspose<T>::TestTranspose(std::string testName_, NCVTestSourceProvider<T> &src_, |
|
Ncv32u width_, Ncv32u height_) |
|
: |
|
NCVTestProvider(testName_), |
|
src(src_), |
|
width(width_), |
|
height(height_) |
|
{ |
|
} |
|
|
|
|
|
template <class T> |
|
bool TestTranspose<T>::toString(std::ofstream &strOut) |
|
{ |
|
strOut << "sizeof(T)=" << sizeof(T) << std::endl; |
|
strOut << "width=" << width << std::endl; |
|
return true; |
|
} |
|
|
|
|
|
template <class T> |
|
bool TestTranspose<T>::init() |
|
{ |
|
return true; |
|
} |
|
|
|
|
|
template <class T> |
|
bool TestTranspose<T>::process() |
|
{ |
|
NCVStatus ncvStat; |
|
bool rcode = false; |
|
|
|
NcvSize32u srcSize(this->width, this->height); |
|
|
|
NCVMatrixAlloc<T> d_img(*this->allocatorGPU.get(), this->width, this->height); |
|
ncvAssertReturn(d_img.isMemAllocated(), false); |
|
NCVMatrixAlloc<T> h_img(*this->allocatorCPU.get(), this->width, this->height); |
|
ncvAssertReturn(h_img.isMemAllocated(), false); |
|
|
|
NCVMatrixAlloc<T> d_dst(*this->allocatorGPU.get(), this->height, this->width); |
|
ncvAssertReturn(d_dst.isMemAllocated(), false); |
|
NCVMatrixAlloc<T> h_dst(*this->allocatorCPU.get(), this->height, this->width); |
|
ncvAssertReturn(h_dst.isMemAllocated(), false); |
|
NCVMatrixAlloc<T> h_dst_d(*this->allocatorCPU.get(), this->height, this->width); |
|
ncvAssertReturn(h_dst_d.isMemAllocated(), false); |
|
|
|
NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting()); |
|
NCV_SKIP_COND_BEGIN |
|
ncvAssertReturn(this->src.fill(h_img), false); |
|
NCV_SKIP_COND_END |
|
|
|
ncvStat = h_img.copySolid(d_img, 0); |
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); |
|
NCV_SKIP_COND_BEGIN |
|
if (sizeof(T) == sizeof(Ncv32u)) |
|
{ |
|
ncvStat = nppiStTranspose_32u_C1R((Ncv32u *)d_img.ptr(), d_img.pitch(), |
|
(Ncv32u *)d_dst.ptr(), d_dst.pitch(), |
|
NcvSize32u(this->width, this->height)); |
|
} |
|
else if (sizeof(T) == sizeof(Ncv64u)) |
|
{ |
|
ncvStat = nppiStTranspose_64u_C1R((Ncv64u *)d_img.ptr(), d_img.pitch(), |
|
(Ncv64u *)d_dst.ptr(), d_dst.pitch(), |
|
NcvSize32u(this->width, this->height)); |
|
} |
|
else |
|
{ |
|
ncvAssertPrintReturn(false, "Incorrect transpose test instance", false); |
|
} |
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); |
|
NCV_SKIP_COND_END |
|
ncvStat = d_dst.copySolid(h_dst_d, 0); |
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); |
|
|
|
NCV_SKIP_COND_BEGIN |
|
if (sizeof(T) == sizeof(Ncv32u)) |
|
{ |
|
ncvStat = nppiStTranspose_32u_C1R_host((Ncv32u *)h_img.ptr(), h_img.pitch(), |
|
(Ncv32u *)h_dst.ptr(), h_dst.pitch(), |
|
NcvSize32u(this->width, this->height)); |
|
} |
|
else if (sizeof(T) == sizeof(Ncv64u)) |
|
{ |
|
ncvStat = nppiStTranspose_64u_C1R_host((Ncv64u *)h_img.ptr(), h_img.pitch(), |
|
(Ncv64u *)h_dst.ptr(), h_dst.pitch(), |
|
NcvSize32u(this->width, this->height)); |
|
} |
|
else |
|
{ |
|
ncvAssertPrintReturn(false, "Incorrect downsample test instance", false); |
|
} |
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false); |
|
NCV_SKIP_COND_END |
|
|
|
//bit-to-bit check |
|
bool bLoopVirgin = true; |
|
|
|
NCV_SKIP_COND_BEGIN |
|
//const Ncv64f relEPS = 0.005; |
|
for (Ncv32u i=0; bLoopVirgin && i < this->width; i++) |
|
{ |
|
for (Ncv32u j=0; bLoopVirgin && j < this->height; j++) |
|
{ |
|
if (h_dst.ptr()[h_dst.stride()*i+j] != h_dst_d.ptr()[h_dst_d.stride()*i+j]) |
|
{ |
|
bLoopVirgin = false; |
|
} |
|
} |
|
} |
|
NCV_SKIP_COND_END |
|
|
|
if (bLoopVirgin) |
|
{ |
|
rcode = true; |
|
} |
|
|
|
return rcode; |
|
} |
|
|
|
|
|
template <class T> |
|
bool TestTranspose<T>::deinit() |
|
{ |
|
return true; |
|
} |
|
|
|
|
|
template class TestTranspose<Ncv32u>; |
|
template class TestTranspose<Ncv64u>; |
|
|
|
#endif /* CUDA_DISABLER */
|
|
|