switched to Input/Output Array in gpu::multiply
This commit is contained in:
Vladislav Vinogradov
parent
ffa25be3d2
commit
4595e3aa3e
@ -57,10 +57,8 @@ CV_EXPORTS void add(InputArray src1, InputArray src2, OutputArray dst, InputArra
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//! subtracts one matrix from another (dst = src1 - src2)
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CV_EXPORTS void subtract(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), int dtype = -1, Stream& stream = Stream::Null());
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//! computes element-wise weighted product of the two arrays (c = scale * a * b)
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CV_EXPORTS void multiply(const GpuMat& a, const GpuMat& b, GpuMat& c, double scale = 1, int dtype = -1, Stream& stream = Stream::Null());
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//! weighted multiplies matrix to a scalar (c = scale * a * s)
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CV_EXPORTS void multiply(const GpuMat& a, const Scalar& sc, GpuMat& c, double scale = 1, int dtype = -1, Stream& stream = Stream::Null());
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//! computes element-wise weighted product of the two arrays (dst = scale * src1 * src2)
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CV_EXPORTS void multiply(InputArray src1, InputArray src2, OutputArray dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null());
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//! computes element-wise weighted quotient of the two arrays (c = a / b)
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CV_EXPORTS void divide(const GpuMat& a, const GpuMat& b, GpuMat& c, double scale = 1, int dtype = -1, Stream& stream = Stream::Null());
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@ -51,8 +51,7 @@ void cv::gpu::add(InputArray, InputArray, OutputArray, InputArray, int, Stream&)
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void cv::gpu::subtract(InputArray, InputArray, OutputArray, InputArray, int, Stream&) { throw_no_cuda(); }
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void cv::gpu::multiply(const GpuMat&, const GpuMat&, GpuMat&, double, int, Stream&) { throw_no_cuda(); }
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void cv::gpu::multiply(const GpuMat&, const Scalar&, GpuMat&, double, int, Stream&) { throw_no_cuda(); }
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void cv::gpu::multiply(InputArray, InputArray, OutputArray, double, int, Stream&) { throw_no_cuda(); }
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void cv::gpu::divide(const GpuMat&, const GpuMat&, GpuMat&, double, int, Stream&) { throw_no_cuda(); }
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void cv::gpu::divide(const GpuMat&, const Scalar&, GpuMat&, double, int, Stream&) { throw_no_cuda(); }
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@ -880,127 +879,92 @@ namespace arithm
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void mulMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream);
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}
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void cv::gpu::multiply(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, double scale, int dtype, Stream& s)
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static void mulMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat&, double scale, Stream& _stream)
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{
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using namespace arithm;
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cudaStream_t stream = StreamAccessor::getStream(s);
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if (src1.type() == CV_8UC4 && src2.type() == CV_32FC1)
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typedef void (*func_t)(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream);
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static const func_t funcs[7][7] =
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{
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CV_Assert( src1.size() == src2.size() );
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dst.create(src1.size(), src1.type());
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mulMat_8uc4_32f(src1, src2, dst, stream);
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}
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else if (src1.type() == CV_16SC4 && src2.type() == CV_32FC1)
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{
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CV_Assert( src1.size() == src2.size() );
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dst.create(src1.size(), src1.type());
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mulMat_16sc4_32f(src1, src2, dst, stream);
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}
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else
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{
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typedef void (*func_t)(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream);
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static const func_t funcs[7][7] =
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{
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{
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mulMat<unsigned char, float, unsigned char>,
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mulMat<unsigned char, float, signed char>,
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mulMat<unsigned char, float, unsigned short>,
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mulMat<unsigned char, float, short>,
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mulMat<unsigned char, float, int>,
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mulMat<unsigned char, float, float>,
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mulMat<unsigned char, double, double>
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},
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{
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mulMat<signed char, float, unsigned char>,
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mulMat<signed char, float, signed char>,
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mulMat<signed char, float, unsigned short>,
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mulMat<signed char, float, short>,
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mulMat<signed char, float, int>,
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mulMat<signed char, float, float>,
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mulMat<signed char, double, double>
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},
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{
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0 /*mulMat<unsigned short, float, unsigned char>*/,
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0 /*mulMat<unsigned short, float, signed char>*/,
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mulMat<unsigned short, float, unsigned short>,
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mulMat<unsigned short, float, short>,
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mulMat<unsigned short, float, int>,
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mulMat<unsigned short, float, float>,
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mulMat<unsigned short, double, double>
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},
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{
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0 /*mulMat<short, float, unsigned char>*/,
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0 /*mulMat<short, float, signed char>*/,
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mulMat<short, float, unsigned short>,
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mulMat<short, float, short>,
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mulMat<short, float, int>,
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mulMat<short, float, float>,
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mulMat<short, double, double>
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},
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{
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0 /*mulMat<int, float, unsigned char>*/,
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0 /*mulMat<int, float, signed char>*/,
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0 /*mulMat<int, float, unsigned short>*/,
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0 /*mulMat<int, float, short>*/,
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mulMat<int, float, int>,
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mulMat<int, float, float>,
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mulMat<int, double, double>
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},
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{
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0 /*mulMat<float, float, unsigned char>*/,
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0 /*mulMat<float, float, signed char>*/,
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0 /*mulMat<float, float, unsigned short>*/,
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0 /*mulMat<float, float, short>*/,
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0 /*mulMat<float, float, int>*/,
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mulMat<float, float, float>,
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mulMat<float, double, double>
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},
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{
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0 /*mulMat<double, double, unsigned char>*/,
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0 /*mulMat<double, double, signed char>*/,
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0 /*mulMat<double, double, unsigned short>*/,
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0 /*mulMat<double, double, short>*/,
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0 /*mulMat<double, double, int>*/,
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0 /*mulMat<double, double, float>*/,
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mulMat<double, double, double>
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}
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};
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if (dtype < 0)
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dtype = src1.depth();
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const int sdepth = src1.depth();
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const int ddepth = CV_MAT_DEPTH(dtype);
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const int cn = src1.channels();
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CV_Assert( sdepth <= CV_64F && ddepth <= CV_64F );
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CV_Assert( src2.type() == src1.type() && src2.size() == src1.size() );
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if (sdepth == CV_64F || ddepth == CV_64F)
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arithm::mulMat<unsigned char, float, unsigned char>,
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arithm::mulMat<unsigned char, float, signed char>,
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arithm::mulMat<unsigned char, float, unsigned short>,
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arithm::mulMat<unsigned char, float, short>,
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arithm::mulMat<unsigned char, float, int>,
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arithm::mulMat<unsigned char, float, float>,
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arithm::mulMat<unsigned char, double, double>
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},
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{
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if (!deviceSupports(NATIVE_DOUBLE))
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CV_Error(cv::Error::StsUnsupportedFormat, "The device doesn't support double");
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arithm::mulMat<signed char, float, unsigned char>,
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arithm::mulMat<signed char, float, signed char>,
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arithm::mulMat<signed char, float, unsigned short>,
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arithm::mulMat<signed char, float, short>,
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arithm::mulMat<signed char, float, int>,
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arithm::mulMat<signed char, float, float>,
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arithm::mulMat<signed char, double, double>
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},
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{
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0 /*arithm::mulMat<unsigned short, float, unsigned char>*/,
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0 /*arithm::mulMat<unsigned short, float, signed char>*/,
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arithm::mulMat<unsigned short, float, unsigned short>,
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arithm::mulMat<unsigned short, float, short>,
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arithm::mulMat<unsigned short, float, int>,
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arithm::mulMat<unsigned short, float, float>,
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arithm::mulMat<unsigned short, double, double>
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},
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{
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0 /*arithm::mulMat<short, float, unsigned char>*/,
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0 /*arithm::mulMat<short, float, signed char>*/,
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arithm::mulMat<short, float, unsigned short>,
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arithm::mulMat<short, float, short>,
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arithm::mulMat<short, float, int>,
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arithm::mulMat<short, float, float>,
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arithm::mulMat<short, double, double>
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},
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{
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0 /*arithm::mulMat<int, float, unsigned char>*/,
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0 /*arithm::mulMat<int, float, signed char>*/,
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0 /*arithm::mulMat<int, float, unsigned short>*/,
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0 /*arithm::mulMat<int, float, short>*/,
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arithm::mulMat<int, float, int>,
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arithm::mulMat<int, float, float>,
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arithm::mulMat<int, double, double>
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},
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{
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0 /*arithm::mulMat<float, float, unsigned char>*/,
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0 /*arithm::mulMat<float, float, signed char>*/,
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0 /*arithm::mulMat<float, float, unsigned short>*/,
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0 /*arithm::mulMat<float, float, short>*/,
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0 /*arithm::mulMat<float, float, int>*/,
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arithm::mulMat<float, float, float>,
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arithm::mulMat<float, double, double>
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},
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{
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0 /*arithm::mulMat<double, double, unsigned char>*/,
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0 /*arithm::mulMat<double, double, signed char>*/,
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0 /*arithm::mulMat<double, double, unsigned short>*/,
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0 /*arithm::mulMat<double, double, short>*/,
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0 /*arithm::mulMat<double, double, int>*/,
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0 /*arithm::mulMat<double, double, float>*/,
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arithm::mulMat<double, double, double>
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}
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};
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dst.create(src1.size(), CV_MAKE_TYPE(ddepth, cn));
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const int sdepth = src1.depth();
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const int ddepth = dst.depth();
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const int cn = src1.channels();
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PtrStepSzb src1_(src1.rows, src1.cols * cn, src1.data, src1.step);
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PtrStepSzb src2_(src1.rows, src1.cols * cn, src2.data, src2.step);
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PtrStepSzb dst_(src1.rows, src1.cols * cn, dst.data, dst.step);
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cudaStream_t stream = StreamAccessor::getStream(_stream);
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const func_t func = funcs[sdepth][ddepth];
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PtrStepSzb src1_(src1.rows, src1.cols * cn, src1.data, src1.step);
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PtrStepSzb src2_(src1.rows, src1.cols * cn, src2.data, src2.step);
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PtrStepSzb dst_(src1.rows, src1.cols * cn, dst.data, dst.step);
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if (!func)
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CV_Error(cv::Error::StsUnsupportedFormat, "Unsupported combination of source and destination types");
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const func_t func = funcs[sdepth][ddepth];
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func(src1_, src2_, dst_, scale, stream);
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}
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if (!func)
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CV_Error(cv::Error::StsUnsupportedFormat, "Unsupported combination of source and destination types");
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func(src1_, src2_, dst_, scale, stream);
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}
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namespace arithm
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@ -1009,75 +973,73 @@ namespace arithm
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void mulScalar(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream);
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}
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void cv::gpu::multiply(const GpuMat& src, const Scalar& sc, GpuMat& dst, double scale, int dtype, Stream& s)
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static void mulScalar(const GpuMat& src, Scalar val, bool, GpuMat& dst, const GpuMat&, Stream& _stream)
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{
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using namespace arithm;
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typedef void (*func_t)(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream);
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static const func_t funcs[7][7] =
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{
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{
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mulScalar<unsigned char, float, unsigned char>,
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mulScalar<unsigned char, float, signed char>,
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mulScalar<unsigned char, float, unsigned short>,
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mulScalar<unsigned char, float, short>,
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mulScalar<unsigned char, float, int>,
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mulScalar<unsigned char, float, float>,
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mulScalar<unsigned char, double, double>
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arithm::mulScalar<unsigned char, float, unsigned char>,
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arithm::mulScalar<unsigned char, float, signed char>,
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arithm::mulScalar<unsigned char, float, unsigned short>,
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arithm::mulScalar<unsigned char, float, short>,
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arithm::mulScalar<unsigned char, float, int>,
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arithm::mulScalar<unsigned char, float, float>,
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arithm::mulScalar<unsigned char, double, double>
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},
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{
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mulScalar<signed char, float, unsigned char>,
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mulScalar<signed char, float, signed char>,
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mulScalar<signed char, float, unsigned short>,
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mulScalar<signed char, float, short>,
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mulScalar<signed char, float, int>,
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mulScalar<signed char, float, float>,
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mulScalar<signed char, double, double>
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arithm::mulScalar<signed char, float, unsigned char>,
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arithm::mulScalar<signed char, float, signed char>,
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arithm::mulScalar<signed char, float, unsigned short>,
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arithm::mulScalar<signed char, float, short>,
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arithm::mulScalar<signed char, float, int>,
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arithm::mulScalar<signed char, float, float>,
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arithm::mulScalar<signed char, double, double>
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},
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{
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0 /*mulScalar<unsigned short, float, unsigned char>*/,
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0 /*mulScalar<unsigned short, float, signed char>*/,
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mulScalar<unsigned short, float, unsigned short>,
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mulScalar<unsigned short, float, short>,
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mulScalar<unsigned short, float, int>,
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mulScalar<unsigned short, float, float>,
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mulScalar<unsigned short, double, double>
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0 /*arithm::mulScalar<unsigned short, float, unsigned char>*/,
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0 /*arithm::mulScalar<unsigned short, float, signed char>*/,
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arithm::mulScalar<unsigned short, float, unsigned short>,
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arithm::mulScalar<unsigned short, float, short>,
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arithm::mulScalar<unsigned short, float, int>,
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arithm::mulScalar<unsigned short, float, float>,
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arithm::mulScalar<unsigned short, double, double>
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},
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{
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0 /*mulScalar<short, float, unsigned char>*/,
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0 /*mulScalar<short, float, signed char>*/,
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mulScalar<short, float, unsigned short>,
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mulScalar<short, float, short>,
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mulScalar<short, float, int>,
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mulScalar<short, float, float>,
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mulScalar<short, double, double>
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0 /*arithm::mulScalar<short, float, unsigned char>*/,
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0 /*arithm::mulScalar<short, float, signed char>*/,
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arithm::mulScalar<short, float, unsigned short>,
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arithm::mulScalar<short, float, short>,
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arithm::mulScalar<short, float, int>,
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arithm::mulScalar<short, float, float>,
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arithm::mulScalar<short, double, double>
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},
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{
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0 /*mulScalar<int, float, unsigned char>*/,
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0 /*mulScalar<int, float, signed char>*/,
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0 /*mulScalar<int, float, unsigned short>*/,
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0 /*mulScalar<int, float, short>*/,
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mulScalar<int, float, int>,
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mulScalar<int, float, float>,
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mulScalar<int, double, double>
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0 /*arithm::mulScalar<int, float, unsigned char>*/,
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0 /*arithm::mulScalar<int, float, signed char>*/,
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0 /*arithm::mulScalar<int, float, unsigned short>*/,
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0 /*arithm::mulScalar<int, float, short>*/,
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arithm::mulScalar<int, float, int>,
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arithm::mulScalar<int, float, float>,
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arithm::mulScalar<int, double, double>
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},
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{
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0 /*mulScalar<float, float, unsigned char>*/,
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0 /*mulScalar<float, float, signed char>*/,
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0 /*mulScalar<float, float, unsigned short>*/,
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0 /*mulScalar<float, float, short>*/,
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0 /*mulScalar<float, float, int>*/,
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mulScalar<float, float, float>,
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mulScalar<float, double, double>
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0 /*arithm::mulScalar<float, float, unsigned char>*/,
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0 /*arithm::mulScalar<float, float, signed char>*/,
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0 /*arithm::mulScalar<float, float, unsigned short>*/,
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0 /*arithm::mulScalar<float, float, short>*/,
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0 /*arithm::mulScalar<float, float, int>*/,
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arithm::mulScalar<float, float, float>,
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arithm::mulScalar<float, double, double>
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},
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{
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0 /*mulScalar<double, double, unsigned char>*/,
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0 /*mulScalar<double, double, signed char>*/,
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0 /*mulScalar<double, double, unsigned short>*/,
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0 /*mulScalar<double, double, short>*/,
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0 /*mulScalar<double, double, int>*/,
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0 /*mulScalar<double, double, float>*/,
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mulScalar<double, double, double>
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0 /*arithm::mulScalar<double, double, unsigned char>*/,
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0 /*arithm::mulScalar<double, double, signed char>*/,
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0 /*arithm::mulScalar<double, double, unsigned short>*/,
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0 /*arithm::mulScalar<double, double, short>*/,
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0 /*arithm::mulScalar<double, double, int>*/,
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0 /*arithm::mulScalar<double, double, float>*/,
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arithm::mulScalar<double, double, double>
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}
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};
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@ -1093,32 +1055,16 @@ void cv::gpu::multiply(const GpuMat& src, const Scalar& sc, GpuMat& dst, double
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{0 , 0, 0 , 0 }
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};
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if (dtype < 0)
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dtype = src.depth();
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const int sdepth = src.depth();
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const int ddepth = CV_MAT_DEPTH(dtype);
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const int ddepth = dst.depth();
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const int cn = src.channels();
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CV_Assert( sdepth <= CV_64F && ddepth <= CV_64F );
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CV_Assert( cn <= 4 );
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if (sdepth == CV_64F || ddepth == CV_64F)
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{
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if (!deviceSupports(NATIVE_DOUBLE))
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CV_Error(cv::Error::StsUnsupportedFormat, "The device doesn't support double");
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}
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dst.create(src.size(), CV_MAKE_TYPE(ddepth, cn));
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cudaStream_t stream = StreamAccessor::getStream(s);
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const Scalar nsc(sc.val[0] * scale, sc.val[1] * scale, sc.val[2] * scale, sc.val[3] * scale);
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cudaStream_t stream = StreamAccessor::getStream(_stream);
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const npp_func_t npp_func = npp_funcs[sdepth][cn - 1];
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if (ddepth == sdepth && cn > 1 && npp_func != 0)
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{
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npp_func(src, nsc, dst, stream);
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npp_func(src, val, dst, stream);
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return;
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}
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@ -1129,7 +1075,39 @@ void cv::gpu::multiply(const GpuMat& src, const Scalar& sc, GpuMat& dst, double
|
||||
if (!func)
|
||||
CV_Error(cv::Error::StsUnsupportedFormat, "Unsupported combination of source and destination types");
|
||||
|
||||
func(src, nsc.val[0], dst, stream);
|
||||
func(src, val[0], dst, stream);
|
||||
}
|
||||
|
||||
void cv::gpu::multiply(InputArray _src1, InputArray _src2, OutputArray _dst, double scale, int dtype, Stream& stream)
|
||||
{
|
||||
if (_src1.type() == CV_8UC4 && _src2.type() == CV_32FC1)
|
||||
{
|
||||
GpuMat src1 = _src1.getGpuMat();
|
||||
GpuMat src2 = _src2.getGpuMat();
|
||||
|
||||
CV_Assert( src1.size() == src2.size() );
|
||||
|
||||
_dst.create(src1.size(), src1.type());
|
||||
GpuMat dst = _dst.getGpuMat();
|
||||
|
||||
arithm::mulMat_8uc4_32f(src1, src2, dst, StreamAccessor::getStream(stream));
|
||||
}
|
||||
else if (_src1.type() == CV_16SC4 && _src2.type() == CV_32FC1)
|
||||
{
|
||||
GpuMat src1 = _src1.getGpuMat();
|
||||
GpuMat src2 = _src2.getGpuMat();
|
||||
|
||||
CV_Assert( src1.size() == src2.size() );
|
||||
|
||||
_dst.create(src1.size(), src1.type());
|
||||
GpuMat dst = _dst.getGpuMat();
|
||||
|
||||
arithm::mulMat_16sc4_32f(src1, src2, dst, StreamAccessor::getStream(stream));
|
||||
}
|
||||
else
|
||||
{
|
||||
arithm_op(_src1, _src2, _dst, GpuMat(), scale, dtype, stream, mulMat, mulScalar);
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
|
||||
@ -932,6 +932,93 @@ INSTANTIATE_TEST_CASE_P(GPU_Arithm, Multiply_Scalar, testing::Combine(
|
||||
DEPTH_PAIRS,
|
||||
WHOLE_SUBMAT));
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Multiply_Scalar_First
|
||||
|
||||
PARAM_TEST_CASE(Multiply_Scalar_First, cv::gpu::DeviceInfo, cv::Size, std::pair<MatDepth, MatDepth>, UseRoi)
|
||||
{
|
||||
cv::gpu::DeviceInfo devInfo;
|
||||
cv::Size size;
|
||||
std::pair<MatDepth, MatDepth> depth;
|
||||
bool useRoi;
|
||||
|
||||
virtual void SetUp()
|
||||
{
|
||||
devInfo = GET_PARAM(0);
|
||||
size = GET_PARAM(1);
|
||||
depth = GET_PARAM(2);
|
||||
useRoi = GET_PARAM(3);
|
||||
|
||||
cv::gpu::setDevice(devInfo.deviceID());
|
||||
}
|
||||
};
|
||||
|
||||
GPU_TEST_P(Multiply_Scalar_First, WithOutScale)
|
||||
{
|
||||
cv::Mat mat = randomMat(size, depth.first);
|
||||
cv::Scalar val = randomScalar(0, 255);
|
||||
|
||||
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::gpu::NATIVE_DOUBLE))
|
||||
{
|
||||
try
|
||||
{
|
||||
cv::gpu::GpuMat dst;
|
||||
cv::gpu::multiply(val, loadMat(mat), dst, 1, depth.second);
|
||||
}
|
||||
catch (const cv::Exception& e)
|
||||
{
|
||||
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
cv::gpu::GpuMat dst = createMat(size, depth.second, useRoi);
|
||||
cv::gpu::multiply(val, loadMat(mat, useRoi), dst, 1, depth.second);
|
||||
|
||||
cv::Mat dst_gold;
|
||||
cv::multiply(val, mat, dst_gold, 1, depth.second);
|
||||
|
||||
EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
GPU_TEST_P(Multiply_Scalar_First, WithScale)
|
||||
{
|
||||
cv::Mat mat = randomMat(size, depth.first);
|
||||
cv::Scalar val = randomScalar(0, 255);
|
||||
double scale = randomDouble(0.0, 255.0);
|
||||
|
||||
if ((depth.first == CV_64F || depth.second == CV_64F) && !supportFeature(devInfo, cv::gpu::NATIVE_DOUBLE))
|
||||
{
|
||||
try
|
||||
{
|
||||
cv::gpu::GpuMat dst;
|
||||
cv::gpu::multiply(val, loadMat(mat), dst, scale, depth.second);
|
||||
}
|
||||
catch (const cv::Exception& e)
|
||||
{
|
||||
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
cv::gpu::GpuMat dst = createMat(size, depth.second, useRoi);
|
||||
cv::gpu::multiply(val, loadMat(mat, useRoi), dst, scale, depth.second);
|
||||
|
||||
cv::Mat dst_gold;
|
||||
cv::multiply(val, mat, dst_gold, scale, depth.second);
|
||||
|
||||
EXPECT_MAT_NEAR(dst_gold, dst, 1.0);
|
||||
}
|
||||
}
|
||||
|
||||
INSTANTIATE_TEST_CASE_P(GPU_Arithm, Multiply_Scalar_First, testing::Combine(
|
||||
ALL_DEVICES,
|
||||
DIFFERENT_SIZES,
|
||||
DEPTH_PAIRS,
|
||||
WHOLE_SUBMAT));
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Divide_Array
|
||||
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user