core/ocl: added perf test infra + "Add" perf test

modules/ts/src/ocl_perf.cpp

@@ -0,0 +1,97 @@
+/*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) 2010-2013, Advanced Micro Devices, 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 OpenCV Foundation 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*/
+
+#include "precomp.hpp"
+
+#include "opencv2/ts/ocl_perf.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+namespace ocl {
+
+namespace perf {
+
+void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor)
+{
+    assert(factor > 0);
+    if (!cv::ocl::useOpenCL())
+        return;
+    int cn = CV_MAT_CN(type);
+    int cn_ocl = cn == 3 ? 4 : cn;
+    int type_ocl = CV_MAKE_TYPE(CV_MAT_DEPTH(type), cn_ocl);
+    size_t memSize = size.area() * CV_ELEM_SIZE(type_ocl);
+    const cv::ocl::Device& dev = cv::ocl::Device::getDefault();
+    if (memSize * factor >= dev.maxMemAllocSize())
+    {
+        throw ::perf::TestBase::PerfSkipTestException();
+    }
+}
+
+void randu(InputOutputArray dst)
+{
+    if (dst.depth() == CV_8U)
+    {
+        cv::randu(dst, 0, 256);
+    }
+    else if (dst.depth() == CV_8S)
+    {
+        cv::randu(dst, -128, 128);
+    }
+    else if (dst.depth() == CV_16U)
+    {
+        cv::randu(dst, 0, 1024);
+    }
+    else if (dst.depth() == CV_32F || dst.depth() == CV_64F)
+    {
+        cv::randu(dst, -1.0, 1.0);
+    }
+    else // (dst.depth() == CV_16S || dst.depth() == CV_32S)
+    {
+        cv::randu(dst, -4096, 4096);
+    }
+}
+
+} // namespace perf
+
+}} // namespace cvtest::ocl
+
+#endif // HAVE_OPENCL

modules/ts/src/ts_perf.cpp

@@ -865,9 +865,18 @@ void TestBase::declareArray(SizeVector& sizes, cv::InputOutputArray a, WarmUpTyp
 
 void TestBase::warmup(cv::InputOutputArray a, WarmUpType wtype)
 {
-    if (a.empty()) return;
-    if (a.kind() != cv::_InputArray::STD_VECTOR_MAT && a.kind() != cv::_InputArray::STD_VECTOR_VECTOR)
+    if (a.empty())
+    {
+        return;
+    }
+    else if (a.isUMat())
+    {
+        return; // TODO current warmup_impl is not useful for GPU-based data
+    }
+    else if (a.kind() != cv::_InputArray::STD_VECTOR_MAT && a.kind() != cv::_InputArray::STD_VECTOR_VECTOR)
+    {
         warmup_impl(a.getMat(), wtype);
+    }
     else
     {
         size_t total = a.total();