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convolve.cpp
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230 lines (192 loc) · 8.64 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 <af/dim4.hpp>
#include <af/defines.h>
#include <af/signal.h>
#include <handle.hpp>
#include <err_common.hpp>
#include <backend.hpp>
#include <convolve.hpp>
#include <fftconvolve.hpp>
#include <convolve_common.hpp>
#include <cstdio>
using af::dim4;
using namespace detail;
template<typename T, typename accT, dim_t baseDim, bool expand>
inline static af_array convolve(const af_array &s, const af_array &f, ConvolveBatchKind kind)
{
return getHandle(convolve<T, accT, baseDim, expand>(getArray<T>(s), castArray<accT>(f), kind));
}
template<typename T, typename accT, bool expand>
inline static af_array convolve2(const af_array &s, const af_array &c_f, const af_array &r_f)
{
return getHandle(convolve2<T, accT, expand>(getArray<T>(s),
castArray<accT>(c_f),
castArray<accT>(r_f)));
}
template<dim_t baseDim>
ConvolveBatchKind identifyBatchKind(const dim4 &sDims, const dim4 &fDims)
{
dim_t sn = sDims.ndims();
dim_t fn = fDims.ndims();
if (sn==baseDim && fn==baseDim)
return CONVOLVE_BATCH_NONE;
else if (sn==baseDim && (fn>baseDim && fn<=4))
return CONVOLVE_BATCH_KERNEL;
else if ((sn>baseDim && sn<=4) && fn==baseDim)
return CONVOLVE_BATCH_SIGNAL;
else if ((sn>baseDim && sn<=4) && (fn>baseDim && fn<=4)) {
bool doesDimensionsMatch = true;
bool isInterleaved = true;
for (dim_t i=baseDim; i<4; i++) {
doesDimensionsMatch &= (sDims[i] == fDims[i]);
isInterleaved &= (sDims[i] == 1 || fDims[i] == 1 || sDims[i] == fDims[i]);
}
if (doesDimensionsMatch) return CONVOLVE_BATCH_SAME;
return (isInterleaved ? CONVOLVE_BATCH_DIFF : CONVOLVE_BATCH_UNSUPPORTED);
}
else
return CONVOLVE_BATCH_UNSUPPORTED;
}
template<dim_t baseDim, bool expand>
af_err convolve(af_array *out, const af_array signal, const af_array filter)
{
try {
ArrayInfo sInfo = getInfo(signal);
ArrayInfo fInfo = getInfo(filter);
af_dtype stype = sInfo.getType();
dim4 sdims = sInfo.dims();
dim4 fdims = fInfo.dims();
ConvolveBatchKind convBT = identifyBatchKind<baseDim>(sdims, fdims);
ARG_ASSERT(1, (convBT != CONVOLVE_BATCH_UNSUPPORTED && convBT != CONVOLVE_BATCH_DIFF));
af_array output;
switch(stype) {
case c32: output = convolve<cfloat , cfloat, baseDim, expand>(signal, filter, convBT); break;
case c64: output = convolve<cdouble, cdouble, baseDim, expand>(signal, filter, convBT); break;
case f32: output = convolve<float , float, baseDim, expand>(signal, filter, convBT); break;
case f64: output = convolve<double , double, baseDim, expand>(signal, filter, convBT); break;
case u32: output = convolve<uint , float, baseDim, expand>(signal, filter, convBT); break;
case s32: output = convolve<int , float, baseDim, expand>(signal, filter, convBT); break;
case u16: output = convolve<ushort , float, baseDim, expand>(signal, filter, convBT); break;
case s16: output = convolve<short , float, baseDim, expand>(signal, filter, convBT); break;
case u64: output = convolve<uintl , float, baseDim, expand>(signal, filter, convBT); break;
case s64: output = convolve<intl , float, baseDim, expand>(signal, filter, convBT); break;
case u8: output = convolve<uchar , float, baseDim, expand>(signal, filter, convBT); break;
case b8: output = convolve<char , float, baseDim, expand>(signal, filter, convBT); break;
default: TYPE_ERROR(1, stype);
}
std::swap(*out,output);
}
CATCHALL;
return AF_SUCCESS;
}
template<bool expand>
af_err convolve2_sep(af_array *out, af_array col_filter, af_array row_filter, const af_array signal)
{
try {
ArrayInfo sInfo = getInfo(signal);
ArrayInfo cfInfo= getInfo(col_filter);
ArrayInfo rfInfo= getInfo(row_filter);
af_dtype signalType = sInfo.getType();
dim4 signalDims = sInfo.dims();
ARG_ASSERT(1, (signalDims.ndims()>=2));
ARG_ASSERT(2, cfInfo.isVector());
ARG_ASSERT(3, rfInfo.isVector());
af_array output;
switch(signalType) {
case c32: output = convolve2<cfloat , cfloat, expand>(signal, col_filter, row_filter); break;
case c64: output = convolve2<cdouble, cdouble, expand>(signal, col_filter, row_filter); break;
case f32: output = convolve2<float , float, expand>(signal, col_filter, row_filter); break;
case f64: output = convolve2<double , double, expand>(signal, col_filter, row_filter); break;
case u32: output = convolve2<uint , float, expand>(signal, col_filter, row_filter); break;
case s32: output = convolve2<int , float, expand>(signal, col_filter, row_filter); break;
case u16: output = convolve2<ushort , float, expand>(signal, col_filter, row_filter); break;
case s16: output = convolve2<short , float, expand>(signal, col_filter, row_filter); break;
case u64: output = convolve2<uintl , float, expand>(signal, col_filter, row_filter); break;
case s64: output = convolve2<intl , float, expand>(signal, col_filter, row_filter); break;
case u8: output = convolve2<uchar , float, expand>(signal, col_filter, row_filter); break;
case b8: output = convolve2<char , float, expand>(signal, col_filter, row_filter); break;
default: TYPE_ERROR(1, signalType);
}
std::swap(*out,output);
}
CATCHALL;
return AF_SUCCESS;
}
template<int baseDim>
bool isFreqDomain(const af_array &signal, const af_array filter, af_conv_domain domain)
{
if (domain == AF_CONV_FREQ) return true;
if (domain != AF_CONV_AUTO) return false;
ArrayInfo sInfo = getInfo(signal);
ArrayInfo fInfo = getInfo(filter);
dim4 sdims = sInfo.dims();
dim4 fdims = fInfo.dims();
if (identifyBatchKind<baseDim>(sdims, fdims) == CONVOLVE_BATCH_DIFF) return true;
int kbatch = 1;
for(int i = 3; i >= baseDim; i--) {
kbatch *= fdims[i];
}
if (kbatch >= 10) return true;
if (baseDim == 1) {
if (fdims[0] > 128) return true;
}
if (baseDim == 2) {
// maximum supported size in 2D domain
if (fdims[0] > 17 || fdims[1] > 17) return true;
// Maximum supported non square size
if (fdims[0] != fdims[1] && fdims[0] > 5) return true;
}
if (baseDim == 3) {
if (fdims[0] > 5 || fdims[1] > 5 || fdims[2] > 5) return true;
}
return false;
}
af_err af_convolve1(af_array *out, const af_array signal, const af_array filter, const af_conv_mode mode, af_conv_domain domain)
{
try {
if (isFreqDomain<1>(signal, filter, domain))
return af_fft_convolve1(out, signal, filter, mode);
if (mode == AF_CONV_EXPAND)
return convolve<1, true >(out, signal, filter);
else
return convolve<1, false>(out, signal, filter);
} CATCHALL;
}
af_err af_convolve2(af_array *out, const af_array signal, const af_array filter, const af_conv_mode mode, af_conv_domain domain)
{
try {
if (isFreqDomain<2>(signal, filter, domain))
return af_fft_convolve2(out, signal, filter, mode);
if (mode == AF_CONV_EXPAND)
return convolve<2, true >(out, signal, filter);
else
return convolve<2, false>(out, signal, filter);
} CATCHALL;
}
af_err af_convolve3(af_array *out, const af_array signal, const af_array filter, const af_conv_mode mode, af_conv_domain domain)
{
try {
if (isFreqDomain<3>(signal, filter, domain))
return af_fft_convolve3(out, signal, filter, mode);
if (mode == AF_CONV_EXPAND)
return convolve<3, true >(out, signal, filter);
else
return convolve<3, false>(out, signal, filter);
} CATCHALL;
}
af_err af_convolve2_sep(af_array *out, const af_array signal, const af_array col_filter, const af_array row_filter, const af_conv_mode mode)
{
try {
if (mode == AF_CONV_EXPAND)
return convolve2_sep<true >(out, signal, col_filter, row_filter);
else
return convolve2_sep<false>(out, signal, col_filter, row_filter);
} CATCHALL;
}