Mercurial > hg > octave-lyh
view liboctave/oct-fftw.cc @ 4785:d3018a33c584
[project @ 2004-02-17 21:58:17 by jwe]
author | jwe |
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date | Tue, 17 Feb 2004 21:58:17 +0000 |
parents | 743ef6154f8a |
children | fc316bde0053 |
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/* This file is part of Octave. Octave is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. Octave is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Octave; see the file COPYING. If not, write to the Free Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. */ #ifdef HAVE_CONFIG_H #include <config.h> #endif #if defined (HAVE_FFTW3) #include <iostream> #include <vector> #include "oct-fftw.h" #include "lo-error.h" // Helper class to create and cache fftw plans for both 1d and 2d. This // implementation uses FFTW_ESTIMATE to create the plans, which in theory // is suboptimal, but provides quite reasonable performance. // Also note that if FFTW_ESTIMATE is not used the planner in FFTW3 // destroys the input and output arrays. So with the form of the // current code we definitely want FFTW_ESTIMATE!! However, we use // any wsidom that is available, either in a FFTW3 system wide file // or as supplied by the user. // XXX FIXME XXX If we can ensure 16 byte alignment in Array<T> (<T> *data) // the FFTW3 can use SIMD instructions for further acceleration. // Note that it is profitable to store the FFTW3 plans, for small ffts class octave_fftw_planner { public: octave_fftw_planner (); fftw_plan create_plan (int dir, const int rank, const dim_vector dims, int howmany, int stride, int dist, const Complex *in, Complex *out); fftw_plan create_plan (const int rank, const dim_vector dims, int howmany, int stride, int dist, const double *in, Complex *out); private: int plan_flags; // Plan for fft and ifft of complex values fftw_plan plan[2]; int d[2]; // dist int s[2]; // stride int r[2]; // rank int h[2]; // howmany dim_vector n[2]; // dims char ialign[2]; char oalign[2]; // Plan for fft of real values fftw_plan rplan; int rd; // dist int rs; // stride int rr; // rank int rh; // howmany dim_vector rn; // dims char rialign; char roalign; }; octave_fftw_planner::octave_fftw_planner () { plan_flags = FFTW_ESTIMATE; plan[0] = plan[1] = 0; d[0] = d[1] = s[0] = s[1] = r[0] = r[1] = h[0] = h[1] = 0; ialign[0] = ialign[1] = oalign[0] = oalign[1] = 0; n[0] = n[1] = dim_vector(); rplan = 0; rd = rs = rr = rh = 0; rialign = roalign = 0; rn = dim_vector (); // If we have a system wide wisdom file, import it fftw_import_system_wisdom ( ); } fftw_plan octave_fftw_planner::create_plan (int dir, const int rank, const dim_vector dims, int howmany, int stride, int dist, const Complex *in, Complex *out) { int which = (dir == FFTW_FORWARD) ? 0 : 1; fftw_plan *cur_plan_p = &plan[which]; bool create_new_plan = false; char in_align = (reinterpret_cast<long> (in)) & 0xF; char out_align = (reinterpret_cast<long> (out)) & 0xF; if (plan[which] == 0 || d[which] != dist || s[which] != stride || r[which] != rank || h[which] != howmany || ialign[which] != in_align || oalign[which] != out_align) create_new_plan = true; else // We still might not have the same shape of array for (int i = 0; i < rank; i++) if (dims(i) != n[which](i)) { create_new_plan = true; break; } if (create_new_plan) { d[which] = dist; s[which] = stride; r[which] = rank; h[which] = howmany; ialign[which] = in_align; oalign[which] = out_align; n[which] = dims; if (*cur_plan_p) fftw_destroy_plan (*cur_plan_p); // Note reversal of dimensions for column major storage in FFTW OCTAVE_LOCAL_BUFFER (int, tmp, rank); for (int i = 0, j = rank-1; i < rank; i++, j--) tmp[i] = dims(j); *cur_plan_p = fftw_plan_many_dft (rank, tmp, howmany, reinterpret_cast<fftw_complex *> (const_cast<Complex *> (in)), 0, stride, dist, reinterpret_cast<fftw_complex *> (out), 0, stride, dist, dir, plan_flags); if (*cur_plan_p == 0) (*current_liboctave_error_handler) ("Error creating fftw plan"); } return *cur_plan_p; } fftw_plan octave_fftw_planner::create_plan (const int rank, const dim_vector dims, int howmany, int stride, int dist, const double *in, Complex *out) { fftw_plan *cur_plan_p = &rplan; bool create_new_plan = false; char in_align = (reinterpret_cast<long> (in)) & 0xF; char out_align = (reinterpret_cast<long> (out)) & 0xF; if (rplan == 0 || rd != dist || rs != stride || rr != rank || rh != howmany || rialign != in_align || roalign != out_align) create_new_plan = true; else // We still might not have the same shape of array for (int i = 0; i < rank; i++) if (dims(i) != rn(i)) { create_new_plan = true; break; } if (create_new_plan) { rd = dist; rs = stride; rr = rank; rh = howmany; rialign = in_align; roalign = out_align; rn = dims; if (*cur_plan_p) fftw_destroy_plan (*cur_plan_p); // Note reversal of dimensions for column major storage in FFTW OCTAVE_LOCAL_BUFFER (int, tmp, rank); for (int i = 0, j = rank-1; i < rank; i++, j--) tmp[i] = dims(j); *cur_plan_p = fftw_plan_many_dft_r2c (rank, tmp, howmany, (const_cast<double *> (in)), 0, stride, dist, reinterpret_cast<fftw_complex *> (out), 0, stride, dist, plan_flags); if (*cur_plan_p == 0) (*current_liboctave_error_handler) ("Error creating fftw plan"); } return *cur_plan_p; } static octave_fftw_planner fftw_planner; static inline void convert_packcomplex_1d (Complex *out, size_t nr, size_t nc, int stride, int dist) { OCTAVE_QUIT; // Fill in the missing data. for (size_t i = 0; i < nr; i++) for (size_t j = nc/2+1; j < nc; j++) out[j*stride + i*dist] = conj(out[(nc - j)*stride + i*dist]); OCTAVE_QUIT; } static inline void convert_packcomplex_Nd (Complex *out, const dim_vector &dv) { size_t nc = dv(0); size_t nr = dv(1); size_t np = (dv.length() > 2 ? dv.numel () / nc / nr : 1); size_t nrp = nr * np; Complex *ptr1, *ptr2; OCTAVE_QUIT; // Create space for the missing elements. for (size_t i = 0; i < nrp; i++) { ptr1 = out + i * (nc/2 + 1) + nrp*((nc-1)/2); ptr2 = out + i * nc; for (size_t j = 0; j < nc/2+1; j++) *ptr2++ = *ptr1++; } OCTAVE_QUIT; // Fill in the missing data for the rank = 2 case directly for speed. for (size_t i = 0; i < np; i++) { for (size_t j = 1; j < nr; j++) for (size_t k = nc/2+1; k < nc; k++) out[k + (j + i*nr)*nc] = conj(out[nc - k + ((i+1)*nr - j)*nc]); for (size_t j = nc/2+1; j < nc; j++) out[j + i*nr*nc] = conj(out[(i*nr+1)*nc - j]); } OCTAVE_QUIT; // Now do the permutations needed for rank > 2 cases. size_t jstart = dv(0) * dv(1); size_t kstep = dv(0); size_t nel = dv.numel (); for (int inner = 2; inner < dv.length(); inner++) { size_t jmax = jstart * dv(inner); for (size_t i = 0; i < nel; i+=jmax) for (size_t j = jstart, jj = jmax-jstart; j < jj; j+=jstart, jj-=jstart) for (size_t k = 0; k < jstart; k+= kstep) for (size_t l = nc/2+1; l < nc; l++) { Complex tmp = out[i+ j + k + l]; out[i + j + k + l] = out[i + jj + k + l]; out[i + jj + k + l] = tmp; } jstart = jmax; } OCTAVE_QUIT; } int octave_fftw::fft (const double *in, Complex *out, size_t npts, size_t nsamples, int stride, int dist) { dist = (dist < 0 ? npts : dist); dim_vector dv (npts); fftw_plan plan = fftw_planner.create_plan (1, dv, nsamples, stride, dist, in, out); fftw_execute_dft_r2c (plan, (const_cast<double *>(in)), reinterpret_cast<fftw_complex *> (out)); // Need to create other half of the transform convert_packcomplex_1d (out, nsamples, npts, stride, dist); return 0; } int octave_fftw::fft (const Complex *in, Complex *out, size_t npts, size_t nsamples, int stride, int dist) { dist = (dist < 0 ? npts : dist); dim_vector dv (npts); fftw_plan plan = fftw_planner.create_plan (FFTW_FORWARD, 1, dv, nsamples, stride, dist, in, out); fftw_execute_dft (plan, reinterpret_cast<fftw_complex *> (const_cast<Complex *>(in)), reinterpret_cast<fftw_complex *> (out)); return 0; } int octave_fftw::ifft (const Complex *in, Complex *out, size_t npts, size_t nsamples, int stride, int dist) { dist = (dist < 0 ? npts : dist); dim_vector dv (npts); fftw_plan plan = fftw_planner.create_plan (FFTW_BACKWARD, 1, dv, nsamples, stride, dist, in, out); fftw_execute_dft (plan, reinterpret_cast<fftw_complex *> (const_cast<Complex *>(in)), reinterpret_cast<fftw_complex *> (out)); const Complex scale = npts; for (size_t j = 0; j < nsamples; j++) for (size_t i = 0; i < npts; i++) out[i*stride + j*dist] /= scale; return 0; } int octave_fftw::fftNd (const double *in, Complex *out, const int rank, const dim_vector &dv) { int dist = 1; for (int i = 0; i < rank; i++) dist *= dv(i); // Fool with the position of the start of the output matrix, so that // creating other half of the matrix won't cause cache problems int offset = (dv.numel () / dv(0)) * ((dv(0) - 1) / 2); fftw_plan plan = fftw_planner.create_plan (rank, dv, 1, 1, dist, in, out + offset); fftw_execute_dft_r2c (plan, (const_cast<double *>(in)), reinterpret_cast<fftw_complex *> (out+ offset)); // Need to create other half of the transform convert_packcomplex_Nd (out, dv); return 0; } int octave_fftw::fftNd (const Complex *in, Complex *out, const int rank, const dim_vector &dv) { int dist = 1; for (int i = 0; i < rank; i++) dist *= dv(i); fftw_plan plan = fftw_planner.create_plan (FFTW_FORWARD, rank, dv, 1, 1, dist, in, out); fftw_execute_dft (plan, reinterpret_cast<fftw_complex *> (const_cast<Complex *>(in)), reinterpret_cast<fftw_complex *> (out)); return 0; } int octave_fftw::ifftNd (const Complex *in, Complex *out, const int rank, const dim_vector &dv) { int dist = 1; for (int i = 0; i < rank; i++) dist *= dv(i); fftw_plan plan = fftw_planner.create_plan (FFTW_BACKWARD, rank, dv, 1, 1, dist, in, out); fftw_execute_dft (plan, reinterpret_cast<fftw_complex *> (const_cast<Complex *>(in)), reinterpret_cast<fftw_complex *> (out)); const size_t npts = dv.numel (); const Complex scale = npts; for (size_t i = 0; i < npts; i++) out[i] /= scale; return 0; } #endif /* ;;; Local Variables: *** ;;; mode: C++ *** ;;; End: *** */