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authorNao Pross <np@0hm.ch>2024-02-12 14:52:43 +0100
committerNao Pross <np@0hm.ch>2024-02-12 14:52:43 +0100
commiteda5bc26f44ee9a6f83dcf8c91f17296d7fc509d (patch)
treebc2efa38ff4e350f9a111ac87065cd7ae9a911c7 /src/armadillo/include/armadillo_bits/op_fft_meat.hpp
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+// SPDX-License-Identifier: Apache-2.0
+//
+// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
+// Copyright 2008-2016 National ICT Australia (NICTA)
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+// ------------------------------------------------------------------------
+
+
+
+//! \addtogroup op_fft
+//! @{
+
+
+#if defined(ARMA_USE_FFTW3)
+
+template<typename cx_type, bool inverse>
+class fft_engine_wrapper
+ {
+ public:
+
+ static constexpr uword threshold = 512;
+
+ fft_engine_kissfft<cx_type,inverse>* worker_kissfft = nullptr;
+ fft_engine_fftw3 <cx_type,inverse>* worker_fftw3 = nullptr;
+
+ inline
+ ~fft_engine_wrapper()
+ {
+ arma_extra_debug_sigprint();
+
+ if(worker_kissfft != nullptr) { delete worker_kissfft; }
+ if(worker_fftw3 != nullptr) { delete worker_fftw3; }
+ }
+
+ inline
+ fft_engine_wrapper(const uword N_samples, const uword N_exec)
+ {
+ arma_extra_debug_sigprint();
+
+ const bool use_fftw3 = N_samples >= (threshold / N_exec);
+
+ worker_kissfft = (use_fftw3 == false) ? new fft_engine_kissfft<cx_type,inverse>(N_samples) : nullptr;
+ worker_fftw3 = (use_fftw3 == true ) ? new fft_engine_fftw3 <cx_type,inverse>(N_samples) : nullptr;
+ }
+
+ inline
+ void
+ run(cx_type* Y, const cx_type* X)
+ {
+ arma_extra_debug_sigprint();
+
+ if(worker_kissfft != nullptr) { (*worker_kissfft).run(Y,X); }
+ else if(worker_fftw3 != nullptr) { (*worker_fftw3).run(Y,X); }
+ }
+ };
+
+#endif
+
+
+//
+// op_fft_real
+
+
+template<typename T1>
+inline
+void
+op_fft_real::apply( Mat< std::complex<typename T1::pod_type> >& out, const mtOp<std::complex<typename T1::pod_type>,T1,op_fft_real>& in )
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::pod_type in_eT;
+ typedef typename std::complex<in_eT> out_eT;
+
+ // no need to worry about aliasing, as we're going from a real object to complex complex, which by definition cannot alias
+
+ const quasi_unwrap<T1> U(in.m);
+ const Mat<in_eT>& X = U.M;
+
+ const uword n_rows = X.n_rows;
+ const uword n_cols = X.n_cols;
+ const uword n_elem = X.n_elem;
+
+ const bool is_vec = ( (n_rows == 1) || (n_cols == 1) );
+
+ const uword N_orig = (is_vec) ? n_elem : n_rows;
+ const uword N_user = (in.aux_uword_b == 0) ? in.aux_uword_a : N_orig;
+
+ #if defined(ARMA_USE_FFTW3)
+ const uword N_exec = (is_vec) ? uword(1) : n_cols;
+ fft_engine_wrapper<out_eT,false> worker(N_user, N_exec);
+ #else
+ fft_engine_kissfft<out_eT,false> worker(N_user);
+ #endif
+
+ if(is_vec)
+ {
+ (n_cols == 1) ? out.set_size(N_user, 1) : out.set_size(1, N_user);
+
+ if( (out.n_elem == 0) || (N_orig == 0) ) { out.zeros(); return; }
+
+ if( (N_user == 1) && (N_orig >= 1) ) { out[0] = out_eT( X[0] ); return; }
+
+ podarray<out_eT> data(N_user, arma_zeros_indicator());
+
+ out_eT* data_mem = data.memptr();
+ const in_eT* X_mem = X.memptr();
+
+ const uword N = (std::min)(N_user, N_orig);
+
+ for(uword i=0; i < N; ++i) { data_mem[i].real(X_mem[i]); }
+
+ worker.run( out.memptr(), data_mem );
+ }
+ else
+ {
+ // process each column seperately
+
+ out.set_size(N_user, n_cols);
+
+ if( (out.n_elem == 0) || (N_orig == 0) ) { out.zeros(); return; }
+
+ if( (N_user == 1) && (N_orig >= 1) )
+ {
+ for(uword col=0; col < n_cols; ++col) { out.at(0,col).real( X.at(0,col) ); }
+
+ return;
+ }
+
+ podarray<out_eT> data(N_user, arma_zeros_indicator());
+
+ out_eT* data_mem = data.memptr();
+
+ const uword N = (std::min)(N_user, N_orig);
+
+ for(uword col=0; col < n_cols; ++col)
+ {
+ for(uword i=0; i < N; ++i) { data_mem[i].real( X.at(i, col) ); }
+
+ worker.run( out.colptr(col), data_mem );
+ }
+ }
+ }
+
+
+
+//
+// op_fft_cx
+
+
+template<typename T1>
+inline
+void
+op_fft_cx::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_fft_cx>& in)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const quasi_unwrap<T1> U(in.m);
+
+ if(U.is_alias(out))
+ {
+ Mat<eT> tmp;
+
+ op_fft_cx::apply_noalias<eT,false>(tmp, U.M, in.aux_uword_a, in.aux_uword_b);
+
+ out.steal_mem(tmp);
+ }
+ else
+ {
+ op_fft_cx::apply_noalias<eT,false>(out, U.M, in.aux_uword_a, in.aux_uword_b);
+ }
+ }
+
+
+
+template<typename eT, bool inverse>
+inline
+void
+op_fft_cx::apply_noalias(Mat<eT>& out, const Mat<eT>& X, const uword a, const uword b)
+ {
+ arma_extra_debug_sigprint();
+
+ const uword n_rows = X.n_rows;
+ const uword n_cols = X.n_cols;
+ const uword n_elem = X.n_elem;
+
+ const bool is_vec = ( (n_rows == 1) || (n_cols == 1) );
+
+ const uword N_orig = (is_vec) ? n_elem : n_rows;
+ const uword N_user = (b == 0) ? a : N_orig;
+
+ #if defined(ARMA_USE_FFTW3)
+ const uword N_exec = (is_vec) ? uword(1) : n_cols;
+ fft_engine_wrapper<eT,inverse> worker(N_user, N_exec);
+ #else
+ fft_engine_kissfft<eT,inverse> worker(N_user);
+ #endif
+
+ if(is_vec)
+ {
+ (n_cols == 1) ? out.set_size(N_user, 1) : out.set_size(1, N_user);
+
+ if( (out.n_elem == 0) || (N_orig == 0) ) { out.zeros(); return; }
+
+ if( (N_user == 1) && (N_orig >= 1) ) { out[0] = X[0]; return; }
+
+ if(N_user > N_orig)
+ {
+ podarray<eT> data(N_user);
+
+ eT* data_mem = data.memptr();
+
+ arrayops::fill_zeros( &data_mem[N_orig], (N_user - N_orig) );
+
+ arrayops::copy(data_mem, X.memptr(), (std::min)(N_user, N_orig));
+
+ worker.run( out.memptr(), data_mem );
+ }
+ else
+ {
+ worker.run( out.memptr(), X.memptr() );
+ }
+ }
+ else
+ {
+ // process each column seperately
+
+ out.set_size(N_user, n_cols);
+
+ if( (out.n_elem == 0) || (N_orig == 0) ) { out.zeros(); return; }
+
+ if( (N_user == 1) && (N_orig >= 1) )
+ {
+ for(uword col=0; col < n_cols; ++col) { out.at(0,col) = X.at(0,col); }
+
+ return;
+ }
+
+ if(N_user > N_orig)
+ {
+ podarray<eT> data(N_user);
+
+ eT* data_mem = data.memptr();
+
+ arrayops::fill_zeros( &data_mem[N_orig], (N_user - N_orig) );
+
+ const uword N = (std::min)(N_user, N_orig);
+
+ for(uword col=0; col < n_cols; ++col)
+ {
+ arrayops::copy(data_mem, X.colptr(col), N);
+
+ worker.run( out.colptr(col), data_mem );
+ }
+ }
+ else
+ {
+ for(uword col=0; col < n_cols; ++col)
+ {
+ worker.run( out.colptr(col), X.colptr(col) );
+ }
+ }
+ }
+
+
+ // correct the scaling for the inverse transform
+ if(inverse)
+ {
+ typedef typename get_pod_type<eT>::result T;
+
+ const T k = T(1) / T(N_user);
+
+ eT* out_mem = out.memptr();
+
+ const uword out_n_elem = out.n_elem;
+
+ for(uword i=0; i < out_n_elem; ++i) { out_mem[i] *= k; }
+ }
+ }
+
+
+
+//
+// op_ifft_cx
+
+
+template<typename T1>
+inline
+void
+op_ifft_cx::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_ifft_cx>& in)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const quasi_unwrap<T1> U(in.m);
+
+ if(U.is_alias(out))
+ {
+ Mat<eT> tmp;
+
+ op_fft_cx::apply_noalias<eT,true>(tmp, U.M, in.aux_uword_a, in.aux_uword_b);
+
+ out.steal_mem(tmp);
+ }
+ else
+ {
+ op_fft_cx::apply_noalias<eT,true>(out, U.M, in.aux_uword_a, in.aux_uword_b);
+ }
+ }
+
+
+
+//! @}