cuda-samples/Samples/5_Domain_Specific/convolutionFFT2D/convolutionFFT2D.cu

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2022-01-13 14:05:24 +08:00
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
2021-10-21 19:04:49 +08:00
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions 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.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``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 COPYRIGHT OWNER 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.
*/
#include <assert.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <helper_cuda.h>
#include "convolutionFFT2D_common.h"
#include "convolutionFFT2D.cuh"
////////////////////////////////////////////////////////////////////////////////
/// Position convolution kernel center at (0, 0) in the image
////////////////////////////////////////////////////////////////////////////////
extern "C" void padKernel(float *d_Dst, float *d_Src, int fftH, int fftW,
int kernelH, int kernelW, int kernelY, int kernelX) {
assert(d_Src != d_Dst);
dim3 threads(32, 8);
dim3 grid(iDivUp(kernelW, threads.x), iDivUp(kernelH, threads.y));
SET_FLOAT_BASE;
#if (USE_TEXTURE)
cudaTextureObject_t texFloat;
cudaResourceDesc texRes;
memset(&texRes, 0, sizeof(cudaResourceDesc));
texRes.resType = cudaResourceTypeLinear;
texRes.res.linear.devPtr = d_Src;
texRes.res.linear.sizeInBytes = sizeof(float) * kernelH * kernelW;
texRes.res.linear.desc = cudaCreateChannelDesc<float>();
cudaTextureDesc texDescr;
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModeLinear;
texDescr.addressMode[0] = cudaAddressModeWrap;
texDescr.readMode = cudaReadModeElementType;
checkCudaErrors(cudaCreateTextureObject(&texFloat, &texRes, &texDescr, NULL));
#endif
padKernel_kernel<<<grid, threads>>>(d_Dst, d_Src, fftH, fftW, kernelH,
kernelW, kernelY, kernelX
#if (USE_TEXTURE)
,
texFloat
#endif
);
getLastCudaError("padKernel_kernel<<<>>> execution failed\n");
#if (USE_TEXTURE)
checkCudaErrors(cudaDestroyTextureObject(texFloat));
#endif
}
////////////////////////////////////////////////////////////////////////////////
// Prepare data for "pad to border" addressing mode
////////////////////////////////////////////////////////////////////////////////
extern "C" void padDataClampToBorder(float *d_Dst, float *d_Src, int fftH,
int fftW, int dataH, int dataW,
int kernelW, int kernelH, int kernelY,
int kernelX) {
assert(d_Src != d_Dst);
dim3 threads(32, 8);
dim3 grid(iDivUp(fftW, threads.x), iDivUp(fftH, threads.y));
#if (USE_TEXTURE)
cudaTextureObject_t texFloat;
cudaResourceDesc texRes;
memset(&texRes, 0, sizeof(cudaResourceDesc));
texRes.resType = cudaResourceTypeLinear;
texRes.res.linear.devPtr = d_Src;
texRes.res.linear.sizeInBytes = sizeof(float) * dataH * dataW;
texRes.res.linear.desc = cudaCreateChannelDesc<float>();
cudaTextureDesc texDescr;
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModeLinear;
texDescr.addressMode[0] = cudaAddressModeWrap;
texDescr.readMode = cudaReadModeElementType;
checkCudaErrors(cudaCreateTextureObject(&texFloat, &texRes, &texDescr, NULL));
#endif
padDataClampToBorder_kernel<<<grid, threads>>>(
d_Dst, d_Src, fftH, fftW, dataH, dataW, kernelH, kernelW, kernelY, kernelX
#if (USE_TEXTURE)
,
texFloat
#endif
);
getLastCudaError("padDataClampToBorder_kernel<<<>>> execution failed\n");
#if (USE_TEXTURE)
checkCudaErrors(cudaDestroyTextureObject(texFloat));
#endif
}
////////////////////////////////////////////////////////////////////////////////
// Modulate Fourier image of padded data by Fourier image of padded kernel
// and normalize by FFT size
////////////////////////////////////////////////////////////////////////////////
extern "C" void modulateAndNormalize(fComplex *d_Dst, fComplex *d_Src, int fftH,
int fftW, int padding) {
assert(fftW % 2 == 0);
const int dataSize = fftH * (fftW / 2 + padding);
modulateAndNormalize_kernel<<<iDivUp(dataSize, 256), 256>>>(
d_Dst, d_Src, dataSize, 1.0f / (float)(fftW * fftH));
getLastCudaError("modulateAndNormalize() execution failed\n");
}
////////////////////////////////////////////////////////////////////////////////
// 2D R2C / C2R post/preprocessing kernels
////////////////////////////////////////////////////////////////////////////////
static const double PI = 3.1415926535897932384626433832795;
static const uint BLOCKDIM = 256;
extern "C" void spPostprocess2D(void *d_Dst, void *d_Src, uint DY, uint DX,
uint padding, int dir) {
assert(d_Src != d_Dst);
assert(DX % 2 == 0);
#if (POWER_OF_TWO)
uint log2DX, log2DY;
uint factorizationRemX = factorRadix2(log2DX, DX);
uint factorizationRemY = factorRadix2(log2DY, DY);
assert(factorizationRemX == 1 && factorizationRemY == 1);
#endif
const uint threadCount = DY * (DX / 2);
const double phaseBase = dir * PI / (double)DX;
#if (USE_TEXTURE)
cudaTextureObject_t texComplex;
cudaResourceDesc texRes;
memset(&texRes, 0, sizeof(cudaResourceDesc));
texRes.resType = cudaResourceTypeLinear;
texRes.res.linear.devPtr = d_Src;
texRes.res.linear.sizeInBytes = sizeof(fComplex) * DY * (DX + padding);
texRes.res.linear.desc = cudaCreateChannelDesc<fComplex>();
cudaTextureDesc texDescr;
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModeLinear;
texDescr.addressMode[0] = cudaAddressModeWrap;
texDescr.readMode = cudaReadModeElementType;
checkCudaErrors(
cudaCreateTextureObject(&texComplex, &texRes, &texDescr, NULL));
#endif
spPostprocess2D_kernel<<<iDivUp(threadCount, BLOCKDIM), BLOCKDIM>>>(
(fComplex *)d_Dst, (fComplex *)d_Src, DY, DX, threadCount, padding,
(float)phaseBase
#if (USE_TEXTURE)
,
texComplex
#endif
);
getLastCudaError("spPostprocess2D_kernel<<<>>> execution failed\n");
#if (USE_TEXTURE)
checkCudaErrors(cudaDestroyTextureObject(texComplex));
#endif
}
extern "C" void spPreprocess2D(void *d_Dst, void *d_Src, uint DY, uint DX,
uint padding, int dir) {
assert(d_Src != d_Dst);
assert(DX % 2 == 0);
#if (POWER_OF_TWO)
uint log2DX, log2DY;
uint factorizationRemX = factorRadix2(log2DX, DX);
uint factorizationRemY = factorRadix2(log2DY, DY);
assert(factorizationRemX == 1 && factorizationRemY == 1);
#endif
const uint threadCount = DY * (DX / 2);
const double phaseBase = -dir * PI / (double)DX;
#if (USE_TEXTURE)
cudaTextureObject_t texComplex;
cudaResourceDesc texRes;
memset(&texRes, 0, sizeof(cudaResourceDesc));
texRes.resType = cudaResourceTypeLinear;
texRes.res.linear.devPtr = d_Src;
texRes.res.linear.sizeInBytes = sizeof(fComplex) * DY * (DX + padding);
texRes.res.linear.desc = cudaCreateChannelDesc<fComplex>();
cudaTextureDesc texDescr;
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModeLinear;
texDescr.addressMode[0] = cudaAddressModeWrap;
texDescr.readMode = cudaReadModeElementType;
checkCudaErrors(
cudaCreateTextureObject(&texComplex, &texRes, &texDescr, NULL));
#endif
spPreprocess2D_kernel<<<iDivUp(threadCount, BLOCKDIM), BLOCKDIM>>>(
(fComplex *)d_Dst, (fComplex *)d_Src, DY, DX, threadCount, padding,
(float)phaseBase
#if (USE_TEXTURE)
,
texComplex
#endif
);
getLastCudaError("spPreprocess2D_kernel<<<>>> execution failed\n");
#if (USE_TEXTURE)
checkCudaErrors(cudaDestroyTextureObject(texComplex));
#endif
}
////////////////////////////////////////////////////////////////////////////////
// Combined spPostprocess2D + modulateAndNormalize + spPreprocess2D
////////////////////////////////////////////////////////////////////////////////
extern "C" void spProcess2D(void *d_Dst, void *d_SrcA, void *d_SrcB, uint DY,
uint DX, int dir) {
assert(DY % 2 == 0);
#if (POWER_OF_TWO)
uint log2DX, log2DY;
uint factorizationRemX = factorRadix2(log2DX, DX);
uint factorizationRemY = factorRadix2(log2DY, DY);
assert(factorizationRemX == 1 && factorizationRemY == 1);
#endif
const uint threadCount = (DY / 2) * DX;
const double phaseBase = dir * PI / (double)DX;
#if (USE_TEXTURE)
cudaTextureObject_t texComplexA, texComplexB;
cudaResourceDesc texRes;
memset(&texRes, 0, sizeof(cudaResourceDesc));
texRes.resType = cudaResourceTypeLinear;
texRes.res.linear.devPtr = d_SrcA;
texRes.res.linear.sizeInBytes = sizeof(fComplex) * DY * DX;
texRes.res.linear.desc = cudaCreateChannelDesc<fComplex>();
cudaTextureDesc texDescr;
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModeLinear;
texDescr.addressMode[0] = cudaAddressModeWrap;
texDescr.readMode = cudaReadModeElementType;
checkCudaErrors(
cudaCreateTextureObject(&texComplexA, &texRes, &texDescr, NULL));
memset(&texRes, 0, sizeof(cudaResourceDesc));
texRes.resType = cudaResourceTypeLinear;
texRes.res.linear.devPtr = d_SrcB;
texRes.res.linear.sizeInBytes = sizeof(fComplex) * DY * DX;
texRes.res.linear.desc = cudaCreateChannelDesc<fComplex>();
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModeLinear;
texDescr.addressMode[0] = cudaAddressModeWrap;
texDescr.readMode = cudaReadModeElementType;
checkCudaErrors(
cudaCreateTextureObject(&texComplexB, &texRes, &texDescr, NULL));
#endif
spProcess2D_kernel<<<iDivUp(threadCount, BLOCKDIM), BLOCKDIM>>>(
(fComplex *)d_Dst, (fComplex *)d_SrcA, (fComplex *)d_SrcB, DY, DX,
threadCount, (float)phaseBase, 0.5f / (float)(DY * DX)
#if (USE_TEXTURE)
,
texComplexA, texComplexB
#endif
);
getLastCudaError("spProcess2D_kernel<<<>>> execution failed\n");
#if (USE_TEXTURE)
checkCudaErrors(cudaDestroyTextureObject(texComplexA));
checkCudaErrors(cudaDestroyTextureObject(texComplexB));
#endif
}