Vladislav Vinogradov
12 years ago
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/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#if !defined CUDA_DISABLER |
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#include "cvconfig.h" |
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#ifdef HAVE_CUFFT |
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#include <cufft.h> |
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#include "opencv2/core/cuda/common.hpp" |
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namespace cv { namespace gpu { namespace cudev |
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{ |
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////////////////////////////////////////////////////////////////////////// |
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// mulSpectrums |
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__global__ void mulSpectrumsKernel(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c) |
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{ |
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const int x = blockIdx.x * blockDim.x + threadIdx.x; |
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const int y = blockIdx.y * blockDim.y + threadIdx.y; |
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if (x < c.cols && y < c.rows) |
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{ |
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c.ptr(y)[x] = cuCmulf(a.ptr(y)[x], b.ptr(y)[x]); |
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} |
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} |
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void mulSpectrums(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c, cudaStream_t stream) |
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{ |
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dim3 threads(256); |
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dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y)); |
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mulSpectrumsKernel<<<grid, threads, 0, stream>>>(a, b, c); |
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cudaSafeCall( cudaGetLastError() ); |
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if (stream == 0) |
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cudaSafeCall( cudaDeviceSynchronize() ); |
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} |
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////////////////////////////////////////////////////////////////////////// |
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// mulSpectrums_CONJ |
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__global__ void mulSpectrumsKernel_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c) |
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{ |
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const int x = blockIdx.x * blockDim.x + threadIdx.x; |
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const int y = blockIdx.y * blockDim.y + threadIdx.y; |
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if (x < c.cols && y < c.rows) |
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{ |
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c.ptr(y)[x] = cuCmulf(a.ptr(y)[x], cuConjf(b.ptr(y)[x])); |
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} |
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} |
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void mulSpectrums_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, PtrStepSz<cufftComplex> c, cudaStream_t stream) |
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{ |
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dim3 threads(256); |
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dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y)); |
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mulSpectrumsKernel_CONJ<<<grid, threads, 0, stream>>>(a, b, c); |
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cudaSafeCall( cudaGetLastError() ); |
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if (stream == 0) |
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cudaSafeCall( cudaDeviceSynchronize() ); |
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} |
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////////////////////////////////////////////////////////////////////////// |
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// mulAndScaleSpectrums |
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__global__ void mulAndScaleSpectrumsKernel(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c) |
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{ |
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const int x = blockIdx.x * blockDim.x + threadIdx.x; |
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const int y = blockIdx.y * blockDim.y + threadIdx.y; |
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if (x < c.cols && y < c.rows) |
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{ |
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cufftComplex v = cuCmulf(a.ptr(y)[x], b.ptr(y)[x]); |
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c.ptr(y)[x] = make_cuFloatComplex(cuCrealf(v) * scale, cuCimagf(v) * scale); |
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} |
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} |
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void mulAndScaleSpectrums(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c, cudaStream_t stream) |
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{ |
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dim3 threads(256); |
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dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y)); |
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mulAndScaleSpectrumsKernel<<<grid, threads, 0, stream>>>(a, b, scale, c); |
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cudaSafeCall( cudaGetLastError() ); |
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if (stream) |
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cudaSafeCall( cudaDeviceSynchronize() ); |
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} |
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////////////////////////////////////////////////////////////////////////// |
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// mulAndScaleSpectrums_CONJ |
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__global__ void mulAndScaleSpectrumsKernel_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c) |
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{ |
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const int x = blockIdx.x * blockDim.x + threadIdx.x; |
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const int y = blockIdx.y * blockDim.y + threadIdx.y; |
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if (x < c.cols && y < c.rows) |
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{ |
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cufftComplex v = cuCmulf(a.ptr(y)[x], cuConjf(b.ptr(y)[x])); |
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c.ptr(y)[x] = make_cuFloatComplex(cuCrealf(v) * scale, cuCimagf(v) * scale); |
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} |
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} |
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void mulAndScaleSpectrums_CONJ(const PtrStep<cufftComplex> a, const PtrStep<cufftComplex> b, float scale, PtrStepSz<cufftComplex> c, cudaStream_t stream) |
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{ |
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dim3 threads(256); |
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dim3 grid(divUp(c.cols, threads.x), divUp(c.rows, threads.y)); |
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mulAndScaleSpectrumsKernel_CONJ<<<grid, threads, 0, stream>>>(a, b, scale, c); |
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cudaSafeCall( cudaGetLastError() ); |
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if (stream == 0) |
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cudaSafeCall( cudaDeviceSynchronize() ); |
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} |
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}}} // namespace cv { namespace gpu { namespace cudev |
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#endif // HAVE_CUFFT |
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#endif /* CUDA_DISABLER */ |
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