/*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 #include "TestTranspose.h" template TestTranspose::TestTranspose(std::string testName_, NCVTestSourceProvider &src_, Ncv32u width_, Ncv32u height_) : NCVTestProvider(testName_), src(src_), width(width_), height(height_) { } template bool TestTranspose::toString(std::ofstream &strOut) { strOut << "sizeof(T)=" << sizeof(T) << std::endl; strOut << "width=" << width << std::endl; return true; } template bool TestTranspose::init() { return true; } template bool TestTranspose::process() { NCVStatus ncvStat; bool rcode = false; NcvSize32u srcSize(this->width, this->height); NCVMatrixAlloc d_img(*this->allocatorGPU.get(), this->width, this->height); ncvAssertReturn(d_img.isMemAllocated(), false); NCVMatrixAlloc h_img(*this->allocatorCPU.get(), this->width, this->height); ncvAssertReturn(h_img.isMemAllocated(), false); NCVMatrixAlloc d_dst(*this->allocatorGPU.get(), this->height, this->width); ncvAssertReturn(d_dst.isMemAllocated(), false); NCVMatrixAlloc h_dst(*this->allocatorCPU.get(), this->height, this->width); ncvAssertReturn(h_dst.isMemAllocated(), false); NCVMatrixAlloc 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 bool TestTranspose::deinit() { return true; } template class TestTranspose; template class TestTranspose; #endif /* CUDA_DISABLER */