158 lines
5.4 KiB
Plaintext
158 lines
5.4 KiB
Plaintext
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/*
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* cuSincOverSampler.cu
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*/
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#include "cuArrays.h"
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#include "cuSincOverSampler.h"
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#include "cuArrays.h"
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#include "cudaUtil.h"
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#include "cudaError.h"
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#include "cuAmpcorUtil.h"
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cuSincOverSamplerR2R::cuSincOverSamplerR2R(const int i_intplength_, const int i_covs_, cudaStream_t stream_)
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: i_intplength(i_intplength_), i_covs(i_covs_)
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{
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setStream(stream_);
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//i_intplength = int(r_relfiltlen/r_beta);
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r_relfiltlen = r_beta * i_intplength;
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i_filtercoef = i_intplength*i_decfactor;
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r_wgthgt = (1.0f - r_pedestal)/2.0f;
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r_soff = (i_filtercoef)/2.0f;
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r_soff_inverse = 1.0f/r_soff;
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r_decfactor_inverse = 1.0f/i_decfactor;
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checkCudaErrors(cudaMalloc((void **)&r_filter, (i_filtercoef+1)*sizeof(float)));
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cuSetupSincKernel();
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}
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void cuSincOverSamplerR2R::setStream(cudaStream_t stream_)
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{
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stream = stream_;
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}
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cuSincOverSamplerR2R::~cuSincOverSamplerR2R()
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{
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checkCudaErrors(cudaFree(r_filter));
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}
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__global__ void cuSetupSincKernel_kernel(float *r_filter_, const int i_filtercoef_,
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const float r_soff_, const float r_wgthgt_, const int i_weight_,
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const float r_soff_inverse_, const float r_beta_, const float r_decfactor_inverse_,
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const float r_relfiltlen_inverse_)
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{
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int i = threadIdx.x + blockDim.x*blockIdx.x;
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if(i > i_filtercoef_) return;
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float r_wa = i - r_soff_;
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float r_wgt = (1.0f - r_wgthgt_) + r_wgthgt_*cos(PI*r_wa*r_soff_inverse_);
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float r_s = r_wa*r_beta_*r_decfactor_inverse_*PI;
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float r_fct;
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if(r_s != 0.0f) {
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r_fct = sin(r_s)/r_s;
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}
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else {
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r_fct = 1.0f;
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}
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if(i_weight_ == 1) {
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r_filter_[i] = r_fct*r_wgt;
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}
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else {
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r_filter_[i] = r_fct;
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}
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//printf("kernel %d %f\n", i, r_filter_[i]);
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}
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void cuSincOverSamplerR2R::cuSetupSincKernel()
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{
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const int nthreads = 128;
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const int nblocks = IDIVUP(i_filtercoef, nthreads);
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float r_relfiltlen_inverse = 1.0f/r_relfiltlen;
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cuSetupSincKernel_kernel<<<nblocks, nthreads, 0, stream>>> (
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r_filter, i_filtercoef, r_soff, r_wgthgt, i_weight,
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r_soff_inverse, r_beta, r_decfactor_inverse, r_relfiltlen_inverse);
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getLastCudaError("cuSetupSincKernel_kernel");
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}
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__global__ void cuSincInterpolation_kernel(const int nImages,
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const float * imagesIn, const int inNX, const int inNY,
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float * imagesOut, const int outNX, const int outNY,
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const float * r_filter_, const int i_covs_, const int i_decfactor_, const int i_intplength_,
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const int i_startX, const int i_startY, const int i_int_size)
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{
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int idxImage = blockIdx.z;
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int idxX = threadIdx.x + blockDim.x*blockIdx.x;
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int idxY = threadIdx.y + blockDim.y*blockIdx.y;
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if(idxImage >=nImages || idxX >= i_int_size || idxY >= i_int_size) return;
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int outx = idxX + i_startX;
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int outy = idxY + i_startY;
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int idxOut = idxImage*outNX*outNY + outx*outNY + outy;
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float r_xout = (float)outx/i_covs_;
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int i_xout = int(r_xout);
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float r_xfrac = r_xout - i_xout;
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int i_xfrac = int(r_xfrac*i_decfactor_);
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float r_yout = (float)outy/i_covs_;
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int i_yout = int(r_yout);
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float r_yfrac = r_yout - i_yout;
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int i_yfrac = int(r_yfrac*i_decfactor_);
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float intpData = 0.0f;
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float r_sincwgt = 0.0f;
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float r_sinc_coef;
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for(int i=0; i < inNX; i++) {
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int i_xindex = i_xout - i + i_intplength_/2;
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if(i_xindex < 0) i_xindex+= i_intplength_;
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if(i_xindex >= i_intplength_) i_xindex-=i_intplength_;
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float r_xsinc_coef = r_filter_[i_xindex*i_decfactor_+i_xfrac];
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for(int j=0; j< inNY; j++) {
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int i_yindex = i_yout - j + i_intplength_/2;
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if(i_yindex < 0) i_yindex+= i_intplength_;
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if(i_yindex >= i_intplength_) i_yindex-=i_intplength_;
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float r_ysinc_coef = r_filter_[i_yindex*i_decfactor_+i_yfrac];
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r_sinc_coef = r_xsinc_coef*r_ysinc_coef;
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r_sincwgt += r_sinc_coef;
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intpData += imagesIn[idxImage*inNX*inNY+i*inNY+j]*r_sinc_coef;
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/*
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if(outx == 0 && outy == 1) {
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printf("intp kernel %d %d %d %d %d %d %d %f\n", i, j, i_xindex, i_yindex, i_xindex*i_decfactor_+i_xfrac,
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i_yindex*i_decfactor_+i_yfrac, idxImage*inNX*inNY+i*inNY+j, r_sinc_coef);
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}*/
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}
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}
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imagesOut[idxOut] = intpData/r_sincwgt;
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//printf("test int kernel %d %d %f %f %f\n", outx, outy, intpData, r_sincwgt, imagesOut[idxOut]);
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}
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void cuSincOverSamplerR2R::execute(cuArrays<float> *imagesIn, cuArrays<float> *imagesOut)
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{
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const int nImages = imagesIn->count;
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const int inNX = imagesIn->height;
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const int inNY = imagesIn->width;
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const int outNX = imagesOut->height;
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const int outNY = imagesOut->width;
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const int i_int_range = i_sincwindow * i_covs;
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const int i_int_startX = outNX/2 - i_int_range;
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const int i_int_startY = outNY/2 - i_int_range;
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const int i_int_size = 2*i_int_range + 1;
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imagesOut->setZero(stream);
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static const int nthreads = 16;
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dim3 threadsperblock(nthreads, nthreads, 1);
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dim3 blockspergrid (IDIVUP(i_int_size, nthreads), IDIVUP(i_int_size, nthreads), nImages);
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cuSincInterpolation_kernel<<<blockspergrid, threadsperblock, 0, stream>>>(nImages,
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imagesIn->devData, inNX, inNY,
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imagesOut->devData, outNX, outNY,
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r_filter, i_covs, i_decfactor, i_intplength, i_int_startX, i_int_startY, i_int_size);
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getLastCudaError("cuSincInterpolation_kernel");
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}
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// end of file
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