ISCE_INSAR/contrib/PyCuAmpcor/src/cuSincOverSampler.cu

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2019-01-16 19:40:08 +00:00
/*
* cuSincOverSampler.cu
*/
#include "cuArrays.h"
#include "cuSincOverSampler.h"
#include "cuArrays.h"
#include "cudaUtil.h"
#include "cudaError.h"
#include "cuAmpcorUtil.h"
cuSincOverSamplerR2R::cuSincOverSamplerR2R(const int i_intplength_, const int i_covs_, cudaStream_t stream_)
: i_intplength(i_intplength_), i_covs(i_covs_)
{
setStream(stream_);
//i_intplength = int(r_relfiltlen/r_beta);
r_relfiltlen = r_beta * i_intplength;
i_filtercoef = i_intplength*i_decfactor;
r_wgthgt = (1.0f - r_pedestal)/2.0f;
r_soff = (i_filtercoef)/2.0f;
r_soff_inverse = 1.0f/r_soff;
r_decfactor_inverse = 1.0f/i_decfactor;
checkCudaErrors(cudaMalloc((void **)&r_filter, (i_filtercoef+1)*sizeof(float)));
cuSetupSincKernel();
}
void cuSincOverSamplerR2R::setStream(cudaStream_t stream_)
{
stream = stream_;
}
cuSincOverSamplerR2R::~cuSincOverSamplerR2R()
{
checkCudaErrors(cudaFree(r_filter));
}
__global__ void cuSetupSincKernel_kernel(float *r_filter_, const int i_filtercoef_,
const float r_soff_, const float r_wgthgt_, const int i_weight_,
const float r_soff_inverse_, const float r_beta_, const float r_decfactor_inverse_,
const float r_relfiltlen_inverse_)
{
int i = threadIdx.x + blockDim.x*blockIdx.x;
if(i > i_filtercoef_) return;
float r_wa = i - r_soff_;
float r_wgt = (1.0f - r_wgthgt_) + r_wgthgt_*cos(PI*r_wa*r_soff_inverse_);
float r_s = r_wa*r_beta_*r_decfactor_inverse_*PI;
float r_fct;
if(r_s != 0.0f) {
r_fct = sin(r_s)/r_s;
}
else {
r_fct = 1.0f;
}
if(i_weight_ == 1) {
r_filter_[i] = r_fct*r_wgt;
}
else {
r_filter_[i] = r_fct;
}
//printf("kernel %d %f\n", i, r_filter_[i]);
}
void cuSincOverSamplerR2R::cuSetupSincKernel()
{
const int nthreads = 128;
const int nblocks = IDIVUP(i_filtercoef, nthreads);
float r_relfiltlen_inverse = 1.0f/r_relfiltlen;
cuSetupSincKernel_kernel<<<nblocks, nthreads, 0, stream>>> (
r_filter, i_filtercoef, r_soff, r_wgthgt, i_weight,
r_soff_inverse, r_beta, r_decfactor_inverse, r_relfiltlen_inverse);
getLastCudaError("cuSetupSincKernel_kernel");
}
__global__ void cuSincInterpolation_kernel(const int nImages,
const float * imagesIn, const int inNX, const int inNY,
float * imagesOut, const int outNX, const int outNY,
const float * r_filter_, const int i_covs_, const int i_decfactor_, const int i_intplength_,
const int i_startX, const int i_startY, const int i_int_size)
{
int idxImage = blockIdx.z;
int idxX = threadIdx.x + blockDim.x*blockIdx.x;
int idxY = threadIdx.y + blockDim.y*blockIdx.y;
if(idxImage >=nImages || idxX >= i_int_size || idxY >= i_int_size) return;
int outx = idxX + i_startX;
int outy = idxY + i_startY;
int idxOut = idxImage*outNX*outNY + outx*outNY + outy;
float r_xout = (float)outx/i_covs_;
int i_xout = int(r_xout);
float r_xfrac = r_xout - i_xout;
int i_xfrac = int(r_xfrac*i_decfactor_);
float r_yout = (float)outy/i_covs_;
int i_yout = int(r_yout);
float r_yfrac = r_yout - i_yout;
int i_yfrac = int(r_yfrac*i_decfactor_);
float intpData = 0.0f;
float r_sincwgt = 0.0f;
float r_sinc_coef;
for(int i=0; i < inNX; i++) {
int i_xindex = i_xout - i + i_intplength_/2;
if(i_xindex < 0) i_xindex+= i_intplength_;
if(i_xindex >= i_intplength_) i_xindex-=i_intplength_;
float r_xsinc_coef = r_filter_[i_xindex*i_decfactor_+i_xfrac];
for(int j=0; j< inNY; j++) {
int i_yindex = i_yout - j + i_intplength_/2;
if(i_yindex < 0) i_yindex+= i_intplength_;
if(i_yindex >= i_intplength_) i_yindex-=i_intplength_;
float r_ysinc_coef = r_filter_[i_yindex*i_decfactor_+i_yfrac];
r_sinc_coef = r_xsinc_coef*r_ysinc_coef;
r_sincwgt += r_sinc_coef;
intpData += imagesIn[idxImage*inNX*inNY+i*inNY+j]*r_sinc_coef;
/*
if(outx == 0 && outy == 1) {
printf("intp kernel %d %d %d %d %d %d %d %f\n", i, j, i_xindex, i_yindex, i_xindex*i_decfactor_+i_xfrac,
i_yindex*i_decfactor_+i_yfrac, idxImage*inNX*inNY+i*inNY+j, r_sinc_coef);
}*/
}
}
imagesOut[idxOut] = intpData/r_sincwgt;
//printf("test int kernel %d %d %f %f %f\n", outx, outy, intpData, r_sincwgt, imagesOut[idxOut]);
}
void cuSincOverSamplerR2R::execute(cuArrays<float> *imagesIn, cuArrays<float> *imagesOut)
{
const int nImages = imagesIn->count;
const int inNX = imagesIn->height;
const int inNY = imagesIn->width;
const int outNX = imagesOut->height;
const int outNY = imagesOut->width;
const int i_int_range = i_sincwindow * i_covs;
const int i_int_startX = outNX/2 - i_int_range;
const int i_int_startY = outNY/2 - i_int_range;
const int i_int_size = 2*i_int_range + 1;
imagesOut->setZero(stream);
static const int nthreads = 16;
dim3 threadsperblock(nthreads, nthreads, 1);
dim3 blockspergrid (IDIVUP(i_int_size, nthreads), IDIVUP(i_int_size, nthreads), nImages);
cuSincInterpolation_kernel<<<blockspergrid, threadsperblock, 0, stream>>>(nImages,
imagesIn->devData, inNX, inNY,
imagesOut->devData, outNX, outNY,
r_filter, i_covs, i_decfactor, i_intplength, i_int_startX, i_int_startY, i_int_size);
getLastCudaError("cuSincInterpolation_kernel");
}
// end of file