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fft.cpp
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298 lines (253 loc) · 9.86 KB
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/*******************************************************
* Copyright (c) 2014, ArrayFire
* All rights reserved.
*
* This file is distributed under 3-clause BSD license.
* The complete license agreement can be obtained at:
* http://arrayfire.com/licenses/BSD-3-Clause
********************************************************/
#include <backend.hpp>
#include <common/err_common.hpp>
#include <fft_common.hpp>
#include <af/defines.h>
#include <af/dim4.hpp>
#include <af/signal.h>
#include <type_traits>
using af::dim4;
using detail::Array;
using detail::cdouble;
using detail::cfloat;
using detail::multiply_inplace;
using std::conditional;
using std::is_same;
void computePaddedDims(dim4 &pdims, const dim4 &idims, const dim_t npad,
dim_t const *const pad) {
for (int i = 0; i < 4; i++) {
pdims[i] = (i < static_cast<int>(npad)) ? pad[i] : idims[i];
}
}
template<typename InType>
af_array fft(const af_array in, const double norm_factor, const dim_t npad,
const dim_t *const pad, int rank, bool direction) {
using OutType = typename conditional<is_same<InType, double>::value ||
is_same<InType, cdouble>::value,
cdouble, cfloat>::type;
return getHandle(fft<InType, OutType>(getArray<InType>(in), norm_factor,
npad, pad, rank, direction));
}
af_err fft(af_array *out, const af_array in, const double norm_factor,
const dim_t npad, const dim_t *const pad, const int rank,
const bool direction) {
try {
const ArrayInfo &info = getInfo(in);
af_dtype type = info.getType();
const dim4 &dims = info.dims();
if (dims.ndims() == 0) { return af_retain_array(out, in); }
DIM_ASSERT(1, (dims.ndims() >= rank));
af_array output;
switch (type) {
case c32:
output =
fft<cfloat>(in, norm_factor, npad, pad, rank, direction);
break;
case c64:
output =
fft<cdouble>(in, norm_factor, npad, pad, rank, direction);
break;
case f32:
output =
fft<float>(in, norm_factor, npad, pad, rank, direction);
break;
case f64:
output =
fft<double>(in, norm_factor, npad, pad, rank, direction);
break;
default: TYPE_ERROR(1, type);
}
std::swap(*out, output);
}
CATCHALL;
return AF_SUCCESS;
}
af_err af_fft(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0) {
const dim_t pad[1] = {pad0};
return fft(out, in, norm_factor, (pad0 > 0 ? 1 : 0), pad, 1, true);
}
af_err af_fft2(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0, const dim_t pad1) {
const dim_t pad[2] = {pad0, pad1};
return fft(out, in, norm_factor, (pad0 > 0 && pad1 > 0 ? 2 : 0), pad, 2,
true);
}
af_err af_fft3(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0, const dim_t pad1, const dim_t pad2) {
const dim_t pad[3] = {pad0, pad1, pad2};
return fft(out, in, norm_factor, (pad0 > 0 && pad1 > 0 && pad2 > 0 ? 3 : 0),
pad, 3, true);
}
af_err af_ifft(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0) {
const dim_t pad[1] = {pad0};
return fft(out, in, norm_factor, (pad0 > 0 ? 1 : 0), pad, 1, false);
}
af_err af_ifft2(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0, const dim_t pad1) {
const dim_t pad[2] = {pad0, pad1};
return fft(out, in, norm_factor, (pad0 > 0 && pad1 > 0 ? 2 : 0), pad, 2,
false);
}
af_err af_ifft3(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0, const dim_t pad1, const dim_t pad2) {
const dim_t pad[3] = {pad0, pad1, pad2};
return fft(out, in, norm_factor, (pad0 > 0 && pad1 > 0 && pad2 > 0 ? 3 : 0),
pad, 3, false);
}
template<typename T>
void fft_inplace(af_array in, const double norm_factor, int rank,
bool direction) {
Array<T> &input = getArray<T>(in);
fft_inplace<T>(input, rank, direction);
if (norm_factor != 1) { multiply_inplace<T>(input, norm_factor); }
}
af_err fft_inplace(af_array in, const double norm_factor, int rank,
bool direction) {
try {
const ArrayInfo &info = getInfo(in);
af_dtype type = info.getType();
af::dim4 dims = info.dims();
if (dims.ndims() == 0) { return AF_SUCCESS; }
DIM_ASSERT(1, (dims.ndims() >= rank));
switch (type) {
case c32:
fft_inplace<cfloat>(in, norm_factor, rank, direction);
break;
case c64:
fft_inplace<cdouble>(in, norm_factor, rank, direction);
break;
default: TYPE_ERROR(1, type);
}
}
CATCHALL;
return AF_SUCCESS;
}
af_err af_fft_inplace(af_array in, const double norm_factor) {
return fft_inplace(in, norm_factor, 1, true);
}
af_err af_fft2_inplace(af_array in, const double norm_factor) {
return fft_inplace(in, norm_factor, 2, true);
}
af_err af_fft3_inplace(af_array in, const double norm_factor) {
return fft_inplace(in, norm_factor, 3, true);
}
af_err af_ifft_inplace(af_array in, const double norm_factor) {
return fft_inplace(in, norm_factor, 1, false);
}
af_err af_ifft2_inplace(af_array in, const double norm_factor) {
return fft_inplace(in, norm_factor, 2, false);
}
af_err af_ifft3_inplace(af_array in, const double norm_factor) {
return fft_inplace(in, norm_factor, 3, false);
}
template<typename InType>
af_array fft_r2c(const af_array in, const double norm_factor, const dim_t npad,
const dim_t *const pad, const int rank) {
using OutType = typename conditional<is_same<InType, double>::value,
cdouble, cfloat>::type;
return getHandle(fft_r2c<InType, OutType>(getArray<InType>(in), norm_factor,
npad, pad, rank));
}
af_err fft_r2c(af_array *out, const af_array in, const double norm_factor,
const dim_t npad, const dim_t *const pad, const int rank) {
try {
const ArrayInfo &info = getInfo(in);
af_dtype type = info.getType();
af::dim4 dims = info.dims();
if (dims.ndims() == 0) { return af_retain_array(out, in); }
DIM_ASSERT(1, (dims.ndims() >= rank));
af_array output;
switch (type) {
case f32:
output = fft_r2c<float>(in, norm_factor, npad, pad, rank);
break;
case f64:
output = fft_r2c<double>(in, norm_factor, npad, pad, rank);
break;
default: {
TYPE_ERROR(1, type);
}
}
std::swap(*out, output);
}
CATCHALL;
return AF_SUCCESS;
}
af_err af_fft_r2c(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0) {
const dim_t pad[1] = {pad0};
return fft_r2c(out, in, norm_factor, (pad0 > 0 ? 1 : 0), pad, 1);
}
af_err af_fft2_r2c(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0, const dim_t pad1) {
const dim_t pad[2] = {pad0, pad1};
return fft_r2c(out, in, norm_factor, (pad0 > 0 && pad1 > 0 ? 2 : 0), pad,
2);
}
af_err af_fft3_r2c(af_array *out, const af_array in, const double norm_factor,
const dim_t pad0, const dim_t pad1, const dim_t pad2) {
const dim_t pad[3] = {pad0, pad1, pad2};
return fft_r2c(out, in, norm_factor,
(pad0 > 0 && pad1 > 0 && pad2 > 0 ? 3 : 0), pad, 3);
}
template<typename InType>
static af_array fft_c2r(const af_array in, const double norm_factor,
const dim4 &odims, const int rank) {
using OutType = typename conditional<is_same<InType, cdouble>::value,
double, float>::type;
return getHandle(fft_c2r<InType, OutType>(getArray<InType>(in), norm_factor,
odims, rank));
}
af_err fft_c2r(af_array *out, const af_array in, const double norm_factor,
const bool is_odd, const int rank) {
try {
const ArrayInfo &info = getInfo(in);
af_dtype type = info.getType();
af::dim4 idims = info.dims();
if (idims.ndims() == 0) { return af_retain_array(out, in); }
DIM_ASSERT(1, (idims.ndims() >= rank));
dim4 odims = idims;
odims[0] = 2 * (odims[0] - 1) + (is_odd ? 1 : 0);
af_array output;
switch (type) {
case c32:
output = fft_c2r<cfloat>(in, norm_factor, odims, rank);
break;
case c64:
output = fft_c2r<cdouble>(in, norm_factor, odims, rank);
break;
default: TYPE_ERROR(1, type);
}
std::swap(*out, output);
}
CATCHALL;
return AF_SUCCESS;
}
af_err af_fft_c2r(af_array *out, const af_array in, const double norm_factor,
const bool is_odd) {
return fft_c2r(out, in, norm_factor, is_odd, 1);
}
af_err af_fft2_c2r(af_array *out, const af_array in, const double norm_factor,
const bool is_odd) {
return fft_c2r(out, in, norm_factor, is_odd, 2);
}
af_err af_fft3_c2r(af_array *out, const af_array in, const double norm_factor,
const bool is_odd) {
return fft_c2r(out, in, norm_factor, is_odd, 3);
}
af_err af_set_fft_plan_cache_size(size_t cache_size) {
try {
detail::setFFTPlanCacheSize(cache_size);
}
CATCHALL;
return AF_SUCCESS;
}