moved mulSpectrums, dft and convolve to gpuarithm

modules/gpuarithm/src/cuda/mul_spectrums.cu

@@ -0,0 +1,171 @@
+/*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 "cvconfig.h"
+
+#ifdef HAVE_CUFFT
+
+#include <cufft.h>
+
+#include "opencv2/core/cuda/common.hpp"
+
+namespace cv { namespace gpu { namespace cudev
+{
+    //////////////////////////////////////////////////////////////////////////
+    // mulSpectrums
+
+    __global__ void mulSpectrumsKernel(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c)
+    {
+        const int x = blockIdx.x * blockDim.x + threadIdx.x;
+        const int y = blockIdx.y * blockDim.y + threadIdx.y;
+
+        if (x < c.cols && y < c.rows)
+        {
+            c.ptr(y)[x] = cuCmulf(a.ptr(y)[x], b.ptr(y)[x]);
+        }
+    }
+
+
+    void mulSpectrums(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c, cudaStream_t stream)
+    {
+        dim3 threads(256);
+        dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y));
+
+        mulSpectrumsKernel<<<grid, threads, 0, stream>>>(a, b, c);
+        cudaSafeCall( cudaGetLastError() );
+
+        if (stream == 0)
+            cudaSafeCall( cudaDeviceSynchronize() );
+    }
+
+
+    //////////////////////////////////////////////////////////////////////////
+    // mulSpectrums_CONJ
+
+    __global__ void mulSpectrumsKernel_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c)
+    {
+        const int x = blockIdx.x * blockDim.x + threadIdx.x;
+        const int y = blockIdx.y * blockDim.y + threadIdx.y;
+
+        if (x < c.cols && y < c.rows)
+        {
+            c.ptr(y)[x] = cuCmulf(a.ptr(y)[x], cuConjf(b.ptr(y)[x]));
+        }
+    }
+
+
+    void mulSpectrums_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c, cudaStream_t stream)
+    {
+        dim3 threads(256);
+        dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y));
+
+        mulSpectrumsKernel_CONJ<<<grid, threads, 0, stream>>>(a, b, c);
+        cudaSafeCall( cudaGetLastError() );
+
+        if (stream == 0)
+            cudaSafeCall( cudaDeviceSynchronize() );
+    }
+
+
+    //////////////////////////////////////////////////////////////////////////
+    // mulAndScaleSpectrums
+
+    __global__ void mulAndScaleSpectrumsKernel(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c)
+    {
+        const int x = blockIdx.x * blockDim.x + threadIdx.x;
+        const int y = blockIdx.y * blockDim.y + threadIdx.y;
+
+        if (x < c.cols && y < c.rows)
+        {
+            cufftComplex v = cuCmulf(a.ptr(y)[x], b.ptr(y)[x]);
+            c.ptr(y)[x] = make_cuFloatComplex(cuCrealf(v) * scale, cuCimagf(v) * scale);
+        }
+    }
+
+
+    void mulAndScaleSpectrums(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c, cudaStream_t stream)
+    {
+        dim3 threads(256);
+        dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y));
+
+        mulAndScaleSpectrumsKernel<<<grid, threads, 0, stream>>>(a, b, scale, c);
+        cudaSafeCall( cudaGetLastError() );
+
+        if (stream)
+            cudaSafeCall( cudaDeviceSynchronize() );
+    }
+
+
+    //////////////////////////////////////////////////////////////////////////
+    // mulAndScaleSpectrums_CONJ
+
+    __global__ void mulAndScaleSpectrumsKernel_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c)
+    {
+        const int x = blockIdx.x * blockDim.x + threadIdx.x;
+        const int y = blockIdx.y * blockDim.y + threadIdx.y;
+
+        if (x < c.cols && y < c.rows)
+        {
+            cufftComplex v = cuCmulf(a.ptr(y)[x], cuConjf(b.ptr(y)[x]));
+            c.ptr(y)[x] = make_cuFloatComplex(cuCrealf(v) * scale, cuCimagf(v) * scale);
+        }
+    }
+
+
+    void mulAndScaleSpectrums_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c, cudaStream_t stream)
+    {
+        dim3 threads(256);
+        dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y));
+
+        mulAndScaleSpectrumsKernel_CONJ<<<grid, threads, 0, stream>>>(a, b, scale, c);
+        cudaSafeCall( cudaGetLastError() );
+
+        if (stream == 0)
+            cudaSafeCall( cudaDeviceSynchronize() );
+    }
+}}} // namespace cv { namespace gpu { namespace cudev
+
+#endif // HAVE_CUFFT
+
+#endif /* CUDA_DISABLER */