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Copy pathlu.cpp
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132 lines (104 loc) · 3.47 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 <common/err_common.hpp>
#include <lu.hpp>
#if defined(WITH_LINEAR_ALGEBRA)
#include <handle.hpp>
#include <kernel/lu.hpp>
#include <lapack_helper.hpp>
#include <math.hpp>
#include <platform.hpp>
#include <queue.hpp>
#include <range.hpp>
#include <af/dim4.hpp>
#include <cassert>
#include <iostream>
namespace arrayfire {
namespace cpu {
template<typename T>
using getrf_func_def = int (*)(ORDER_TYPE, int, int, T *, int, int *);
#define LU_FUNC_DEF(FUNC) \
template<typename T> \
FUNC##_func_def<T> FUNC##_func();
#define LU_FUNC(FUNC, TYPE, PREFIX) \
template<> \
FUNC##_func_def<TYPE> FUNC##_func<TYPE>() { \
return &LAPACK_NAME(PREFIX##FUNC); \
}
LU_FUNC_DEF(getrf)
LU_FUNC(getrf, float, s)
LU_FUNC(getrf, double, d)
LU_FUNC(getrf, cfloat, c)
LU_FUNC(getrf, cdouble, z)
template<typename T>
void lu(Array<T> &lower, Array<T> &upper, Array<int> &pivot,
const Array<T> &in) {
dim4 iDims = in.dims();
int M = iDims[0];
int N = iDims[1];
Array<T> in_copy = copyArray<T>(in);
pivot = lu_inplace(in_copy);
// SPLIT into lower and upper
dim4 ldims(M, min(M, N));
dim4 udims(min(M, N), N);
lower = createEmptyArray<T>(ldims);
upper = createEmptyArray<T>(udims);
getQueue().enqueue(kernel::lu_split<T>, lower, upper, in_copy);
}
template<typename T>
Array<int> lu_inplace(Array<T> &in, const bool convert_pivot) {
dim4 iDims = in.dims();
Array<int> pivot =
createEmptyArray<int>(af::dim4(min(iDims[0], iDims[1]), 1, 1, 1));
auto func = [=](Param<T> in, Param<int> pivot) {
dim4 iDims = in.dims();
getrf_func<T>()(AF_LAPACK_COL_MAJOR, iDims[0], iDims[1], in.get(),
in.strides(1), pivot.get());
};
getQueue().enqueue(func, in, pivot);
if (convert_pivot) {
Array<int> p = range<int>(dim4(iDims[0]), 0);
getQueue().enqueue(kernel::convertPivot, p, pivot);
return p;
} else {
return pivot;
}
}
bool isLAPACKAvailable() { return true; }
} // namespace cpu
} // namespace arrayfire
#else // WITH_LINEAR_ALGEBRA
namespace arrayfire {
namespace cpu {
template<typename T>
void lu(Array<T> &lower, Array<T> &upper, Array<int> &pivot,
const Array<T> &in) {
AF_ERROR("Linear Algebra is disabled on CPU", AF_ERR_NOT_CONFIGURED);
}
template<typename T>
Array<int> lu_inplace(Array<T> &in, const bool convert_pivot) {
AF_ERROR("Linear Algebra is disabled on CPU", AF_ERR_NOT_CONFIGURED);
}
bool isLAPACKAvailable() { return false; }
} // namespace cpu
} // namespace arrayfire
#endif // WITH_LINEAR_ALGEBRA
namespace arrayfire {
namespace cpu {
#define INSTANTIATE_LU(T) \
template Array<int> lu_inplace<T>(Array<T> & in, \
const bool convert_pivot); \
template void lu<T>(Array<T> & lower, Array<T> & upper, \
Array<int> & pivot, const Array<T> &in);
INSTANTIATE_LU(float)
INSTANTIATE_LU(cfloat)
INSTANTIATE_LU(double)
INSTANTIATE_LU(cdouble)
} // namespace cpu
} // namespace arrayfire