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b2135be594
Add a basic sanity test to verify the rounding functions work as expected. Likewise, extend the rounding performance test to cover the additional float -> int fast math functions.
56 lines
2.8 KiB
C++
56 lines
2.8 KiB
C++
#include "perf_precomp.hpp"
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namespace opencv_test
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{
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using namespace perf;
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#define DECL_ROUND_TEST(NAME, OP, EXTRA) \
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template <typename T> \
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static void OP ## Mat(const cv::Mat & src, cv::Mat & dst) \
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{ \
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for (int y = 0; y < dst.rows; ++y) \
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{ \
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const T * sptr = src.ptr<T>(y); \
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int * dptr = dst.ptr<int>(y); \
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\
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for (int x = 0; x < dst.cols; ++x) \
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dptr[x] = OP(sptr[x]) EXTRA; \
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} \
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} \
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\
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PERF_TEST_P(Size_MatType, CvRound_Float ## NAME, \
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES), \
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testing::Values(CV_32FC1, CV_64FC1))) \
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{ \
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Size size = get<0>(GetParam()); \
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int type = get<1>(GetParam()), depth = CV_MAT_DEPTH(type); \
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\
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cv::Mat src(size, type), dst(size, CV_32SC1); \
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\
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declare.in(src, WARMUP_RNG).out(dst); \
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\
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if (depth == CV_32F) \
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{ \
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TEST_CYCLE() \
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OP ## Mat<float>(src, dst); \
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} \
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else if (depth == CV_64F) \
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{ \
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TEST_CYCLE() \
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OP ## Mat<double>(src, dst); \
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} \
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\
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SANITY_CHECK_NOTHING(); \
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}
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DECL_ROUND_TEST(,cvRound,)
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DECL_ROUND_TEST(_Ceil,cvCeil,)
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DECL_ROUND_TEST(_Floor,cvFloor,)
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/* For FP classification tests, try to test them in way which uses
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branching logic and avoids extra FP logic. */
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DECL_ROUND_TEST(_NaN,cvIsNaN, ? 1 : 2)
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DECL_ROUND_TEST(_Inf,cvIsInf, ? 1 : 2)
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} // namespace
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