// =============================================================================
PyObject * Epetra_NumPyMultiVector::ExtractCopy() const
{
return PyArray_NewCopy(array,NPY_ANYORDER);
}
static PyObject *
dotblas_matrixproduct(PyObject *dummy, PyObject *args)
{
PyObject *op1, *op2;
PyArrayObject *ap1=NULL, *ap2=NULL, *ret=NULL;
int j, l, lda, ldb, ldc;
int typenum, nd;
intp ap1stride=0;
intp dimensions[MAX_DIMS];
intp numbytes;
static const float oneF[2] = {1.0, 0.0};
static const float zeroF[2] = {0.0, 0.0};
static const double oneD[2] = {1.0, 0.0};
static const double zeroD[2] = {0.0, 0.0};
double prior1, prior2;
PyTypeObject *subtype;
PyArray_Descr *dtype;
MatrixShape ap1shape, ap2shape;
if (!PyArg_ParseTuple(args, "OO", &op1, &op2)) return NULL;
/*
* "Matrix product" using the BLAS.
* Only works for float double and complex types.
*/
typenum = PyArray_ObjectType(op1, 0);
typenum = PyArray_ObjectType(op2, typenum);
/* This function doesn't handle other types */
if ((typenum != PyArray_DOUBLE && typenum != PyArray_CDOUBLE &&
typenum != PyArray_FLOAT && typenum != PyArray_CFLOAT)) {
return PyArray_Return((PyArrayObject *)PyArray_MatrixProduct(op1, op2));
}
dtype = PyArray_DescrFromType(typenum);
ap1 = (PyArrayObject *)PyArray_FromAny(op1, dtype, 0, 0, ALIGNED, NULL);
if (ap1 == NULL) return NULL;
Py_INCREF(dtype);
ap2 = (PyArrayObject *)PyArray_FromAny(op2, dtype, 0, 0, ALIGNED, NULL);
if (ap2 == NULL) goto fail;
if ((ap1->nd > 2) || (ap2->nd > 2)) {
/* This function doesn't handle dimensions greater than 2
(or negative striding) -- other
than to ensure the dot function is altered
*/
if (!altered) {
/* need to alter dot product */
PyObject *tmp1, *tmp2;
tmp1 = PyTuple_New(0);
tmp2 = dotblas_alterdot(NULL, tmp1);
Py_DECREF(tmp1);
Py_DECREF(tmp2);
}
ret = (PyArrayObject *)PyArray_MatrixProduct((PyObject *)ap1,
(PyObject *)ap2);
Py_DECREF(ap1);
Py_DECREF(ap2);
return PyArray_Return(ret);
}
if (_bad_strides(ap1)) {
op1 = PyArray_NewCopy(ap1, PyArray_ANYORDER);
Py_DECREF(ap1);
ap1 = (PyArrayObject *)op1;
if (ap1 == NULL) goto fail;
}
if (_bad_strides(ap2)) {
op2 = PyArray_NewCopy(ap2, PyArray_ANYORDER);
Py_DECREF(ap2);
ap2 = (PyArrayObject *)op2;
if (ap2 == NULL) goto fail;
}
ap1shape = _select_matrix_shape(ap1);
ap2shape = _select_matrix_shape(ap2);
if (ap1shape == _scalar || ap2shape == _scalar) {
PyArrayObject *oap1, *oap2;
oap1 = ap1;
oap2 = ap2;
/* One of ap1 or ap2 is a scalar */
if (ap1shape == _scalar) { /* Make ap2 the scalar */
PyArrayObject *t = ap1;
ap1 = ap2;
ap2 = t;
ap1shape = ap2shape;
ap2shape = _scalar;
}
if (ap1shape == _row) ap1stride = ap1->strides[1];
else if (ap1->nd > 0) ap1stride = ap1->strides[0];
if (ap1->nd == 0 || ap2->nd == 0) {
intp *thisdims;
if (ap1->nd == 0) {
nd = ap2->nd;
thisdims = ap2->dimensions;
}
else {
nd = ap1->nd;
thisdims = ap1->dimensions;
}
l = 1;
for (j=0; j<nd; j++) {
dimensions[j] = thisdims[j];
l *= dimensions[j];
}
}
else {
l = oap1->dimensions[oap1->nd-1];
if (oap2->dimensions[0] != l) {
PyErr_SetString(PyExc_ValueError, "matrices are not aligned");
goto fail;
}
nd = ap1->nd + ap2->nd - 2;
/* nd = 0 or 1 or 2 */
/* If nd == 0 do nothing ... */
if (nd == 1) {
/* Either ap1->nd is 1 dim or ap2->nd is 1 dim
and the other is 2-dim */
dimensions[0] = (oap1->nd == 2) ? oap1->dimensions[0] : oap2->dimensions[1];
l = dimensions[0];
/* Fix it so that dot(shape=(N,1), shape=(1,))
and dot(shape=(1,), shape=(1,N)) both return
an (N,) array (but use the fast scalar code)
*/
}
else if (nd == 2) {
dimensions[0] = oap1->dimensions[0];
dimensions[1] = oap2->dimensions[1];
/* We need to make sure that dot(shape=(1,1), shape=(1,N))
and dot(shape=(N,1),shape=(1,1)) uses
scalar multiplication appropriately
*/
if (ap1shape == _row) l = dimensions[1];
else l = dimensions[0];
}
}
}
else { /* (ap1->nd <= 2 && ap2->nd <= 2) */
/* Both ap1 and ap2 are vectors or matrices */
l = ap1->dimensions[ap1->nd-1];
if (ap2->dimensions[0] != l) {
PyErr_SetString(PyExc_ValueError, "matrices are not aligned");
goto fail;
}
nd = ap1->nd+ap2->nd-2;
if (nd == 1)
dimensions[0] = (ap1->nd == 2) ? ap1->dimensions[0] : ap2->dimensions[1];
else if (nd == 2) {
dimensions[0] = ap1->dimensions[0];
dimensions[1] = ap2->dimensions[1];
}
}
/* Choose which subtype to return */
if (ap1->ob_type != ap2->ob_type) {
prior2 = PyArray_GetPriority((PyObject *)ap2, 0.0);
prior1 = PyArray_GetPriority((PyObject *)ap1, 0.0);
subtype = (prior2 > prior1 ? ap2->ob_type : ap1->ob_type);
}
else {
prior1 = prior2 = 0.0;
subtype = ap1->ob_type;
}
ret = (PyArrayObject *)PyArray_New(subtype, nd, dimensions,
typenum, NULL, NULL, 0, 0,
(PyObject *)
(prior2 > prior1 ? ap2 : ap1));
if (ret == NULL) goto fail;
numbytes = PyArray_NBYTES(ret);
memset(ret->data, 0, numbytes);
if (numbytes==0 || l == 0) {
Py_DECREF(ap1);
Py_DECREF(ap2);
return PyArray_Return(ret);
}
if (ap2shape == _scalar) {
/* Multiplication by a scalar -- Level 1 BLAS */
/* if ap1shape is a matrix and we are not contiguous, then we can't
just blast through the entire array using a single
striding factor */
NPY_BEGIN_ALLOW_THREADS
if (typenum == PyArray_DOUBLE) {
if (l == 1) {
*((double *)ret->data) = *((double *)ap2->data) * \
*((double *)ap1->data);
}
else if (ap1shape != _matrix) {
cblas_daxpy(l, *((double *)ap2->data), (double *)ap1->data,
ap1stride/sizeof(double), (double *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
double val;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
val = *((double *)ap2->data);
a1s = ap1->strides[maxind] / sizeof(double);
rets = ret->strides[maxind] / sizeof(double);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_daxpy(l, val, (double *)ptr, a1s,
(double *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
else if (typenum == PyArray_CDOUBLE) {
if (l == 1) {
cdouble *ptr1, *ptr2, *res;
ptr1 = (cdouble *)ap2->data;
ptr2 = (cdouble *)ap1->data;
res = (cdouble *)ret->data;
res->real = ptr1->real * ptr2->real - ptr1->imag * ptr2->imag;
res->imag = ptr1->real * ptr2->imag + ptr1->imag * ptr2->real;
}
else if (ap1shape != _matrix) {
cblas_zaxpy(l, (double *)ap2->data, (double *)ap1->data,
ap1stride/sizeof(cdouble), (double *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
double *pval;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
pval = (double *)ap2->data;
a1s = ap1->strides[maxind] / sizeof(cdouble);
rets = ret->strides[maxind] / sizeof(cdouble);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_zaxpy(l, pval, (double *)ptr, a1s,
(double *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
else if (typenum == PyArray_FLOAT) {
if (l == 1) {
*((float *)ret->data) = *((float *)ap2->data) * \
*((float *)ap1->data);
}
else if (ap1shape != _matrix) {
cblas_saxpy(l, *((float *)ap2->data), (float *)ap1->data,
ap1stride/sizeof(float), (float *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
float val;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
val = *((float *)ap2->data);
a1s = ap1->strides[maxind] / sizeof(float);
rets = ret->strides[maxind] / sizeof(float);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_saxpy(l, val, (float *)ptr, a1s,
(float *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
else if (typenum == PyArray_CFLOAT) {
if (l == 1) {
cfloat *ptr1, *ptr2, *res;
ptr1 = (cfloat *)ap2->data;
ptr2 = (cfloat *)ap1->data;
res = (cfloat *)ret->data;
res->real = ptr1->real * ptr2->real - ptr1->imag * ptr2->imag;
res->imag = ptr1->real * ptr2->imag + ptr1->imag * ptr2->real;
}
else if (ap1shape != _matrix) {
cblas_caxpy(l, (float *)ap2->data, (float *)ap1->data,
ap1stride/sizeof(cfloat), (float *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
float *pval;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
pval = (float *)ap2->data;
a1s = ap1->strides[maxind] / sizeof(cfloat);
rets = ret->strides[maxind] / sizeof(cfloat);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_caxpy(l, pval, (float *)ptr, a1s,
(float *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
NPY_END_ALLOW_THREADS
}
