Revert "Merge pull request #836 from jet47:gpu-modules"

This reverts commit fba72cb60d, reversing
changes made to 02131ffb62.

modules/gpu/test/nvidia/TestIntegralImageSquared.cpp

@@ -0,0 +1,152 @@
+/*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 "TestIntegralImageSquared.h"
+
+
+TestIntegralImageSquared::TestIntegralImageSquared(std::string testName_, NCVTestSourceProvider<Ncv8u> &src_,
+                                                   Ncv32u width_, Ncv32u height_)
+    :
+    NCVTestProvider(testName_),
+    src(src_),
+    width(width_),
+    height(height_)
+{
+}
+
+
+bool TestIntegralImageSquared::toString(std::ofstream &strOut)
+{
+    strOut << "width=" << width << std::endl;
+    strOut << "height=" << height << std::endl;
+    return true;
+}
+
+
+bool TestIntegralImageSquared::init()
+{
+    return true;
+}
+
+
+bool TestIntegralImageSquared::process()
+{
+    NCVStatus ncvStat;
+    bool rcode = false;
+
+    Ncv32u widthSII = this->width + 1;
+    Ncv32u heightSII = this->height + 1;
+
+    NCVMatrixAlloc<Ncv8u> d_img(*this->allocatorGPU.get(), this->width, this->height);
+    ncvAssertReturn(d_img.isMemAllocated(), false);
+    NCVMatrixAlloc<Ncv8u> h_img(*this->allocatorCPU.get(), this->width, this->height);
+    ncvAssertReturn(h_img.isMemAllocated(), false);
+    NCVMatrixAlloc<Ncv64u> d_imgSII(*this->allocatorGPU.get(), widthSII, heightSII);
+    ncvAssertReturn(d_imgSII.isMemAllocated(), false);
+    NCVMatrixAlloc<Ncv64u> h_imgSII(*this->allocatorCPU.get(), widthSII, heightSII);
+    ncvAssertReturn(h_imgSII.isMemAllocated(), false);
+    NCVMatrixAlloc<Ncv64u> h_imgSII_d(*this->allocatorCPU.get(), widthSII, heightSII);
+    ncvAssertReturn(h_imgSII_d.isMemAllocated(), false);
+
+    Ncv32u bufSize;
+    ncvStat = nppiStSqrIntegralGetSize_8u64u(NcvSize32u(this->width, this->height), &bufSize, this->devProp);
+    ncvAssertReturn(NPPST_SUCCESS == ncvStat, false);
+    NCVVectorAlloc<Ncv8u> d_tmpBuf(*this->allocatorGPU.get(), bufSize);
+    ncvAssertReturn(d_tmpBuf.isMemAllocated(), false);
+
+    NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
+    NCV_SKIP_COND_BEGIN
+
+    ncvAssertReturn(this->src.fill(h_img), false);
+
+    ncvStat = h_img.copySolid(d_img, 0);
+    ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
+
+    ncvStat = nppiStSqrIntegral_8u64u_C1R(d_img.ptr(), d_img.pitch(),
+                                          d_imgSII.ptr(), d_imgSII.pitch(),
+                                          NcvSize32u(this->width, this->height),
+                                          d_tmpBuf.ptr(), bufSize, this->devProp);
+    ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
+
+    ncvStat = d_imgSII.copySolid(h_imgSII_d, 0);
+    ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
+
+    ncvStat = nppiStSqrIntegral_8u64u_C1R_host(h_img.ptr(), h_img.pitch(),
+                                               h_imgSII.ptr(), h_imgSII.pitch(),
+                                               NcvSize32u(this->width, this->height));
+    ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
+
+    NCV_SKIP_COND_END
+
+    //bit-to-bit check
+    bool bLoopVirgin = true;
+
+    NCV_SKIP_COND_BEGIN
+    for (Ncv32u i=0; bLoopVirgin && i < h_img.height() + 1; i++)
+    {
+        for (Ncv32u j=0; bLoopVirgin && j < h_img.width() + 1; j++)
+        {
+            if (h_imgSII.ptr()[h_imgSII.stride()*i+j] != h_imgSII_d.ptr()[h_imgSII_d.stride()*i+j])
+            {
+                bLoopVirgin = false;
+            }
+        }
+    }
+    NCV_SKIP_COND_END
+
+    if (bLoopVirgin)
+    {
+        rcode = true;
+    }
+
+    return rcode;
+}
+
+
+bool TestIntegralImageSquared::deinit()
+{
+    return true;
+}
+
+#endif /* CUDA_DISABLER */