19 #define USELONGDOUBLE 1
24 #include "shared/nvector_serial.h"
26 #include "shared/sundialsmath.h"
27 #include "shared/sundialstypes.h"
31 #define ZERO RCONST(0.0)
32 #define HALF RCONST(0.5)
33 #define ONE RCONST(1.0)
34 #define ONEPT5 RCONST(1.5)
37 #define mydebug(a) printf(a)
38 #define mydebug2(a, b) printf(a, b)
41 #define mydebug2(a, b)
45 #define ldrealtype long double
47 #define ldrealtype realtype
71 #define idpass id_ = id;
75 #define xarg(i) NV_SUBVEC_NT_LD(x_, i)
76 #define yarg(i) NV_SUBVEC_NT_LD(y_, i)
77 #define zarg(i) NV_SUBVEC_NT_LD(z_, i)
78 #define warg(i) NV_SUBVEC_NT_LD(w_, i)
79 #define idarg(i) NV_SUBVEC_NT_LD(id_, i)
84 #define unlock MUTUNLOCK
85 #define lockadd(arg) \
90 #define locklongdadd(arg) \
95 #define locklongdadd(arg) lockadd(arg)
97 #define lockmax(arg) \
103 #define lockmin(arg) \
105 if (retval > arg) { \
135 v = (N_Vector) malloc(
sizeof *
v);
140 ops = (N_Vector_Ops) malloc(
sizeof(
struct _generic_N_Vector_Ops));
173 if (content ==
NULL) {
180 content->
nt = nthread;
182 content->
data = (N_Vector*) malloc(
sizeof(N_Vector) * nthread);
189 for (
i = 0;
i < nthread; ++
i) {
193 v->content = content;
217 for (
i = 0;
i < nthread; ++
i) {
218 data = N_VNew_Serial(sizes[
i]);
245 v = (N_Vector) malloc(
sizeof *
v);
250 ops = (N_Vector_Ops) malloc(
sizeof(
struct _generic_N_Vector_Ops));
256 ops->nvclone = w->ops->nvclone;
257 ops->nvdestroy = w->ops->nvdestroy;
258 ops->nvspace = w->ops->nvspace;
259 ops->nvgetarraypointer = w->ops->nvgetarraypointer;
260 ops->nvsetarraypointer = w->ops->nvsetarraypointer;
261 ops->nvlinearsum = w->ops->nvlinearsum;
262 ops->nvconst = w->ops->nvconst;
263 ops->nvprod = w->ops->nvprod;
264 ops->nvdiv = w->ops->nvdiv;
265 ops->nvscale = w->ops->nvscale;
266 ops->nvabs = w->ops->nvabs;
267 ops->nvinv = w->ops->nvinv;
268 ops->nvaddconst = w->ops->nvaddconst;
269 ops->nvdotprod = w->ops->nvdotprod;
270 ops->nvmaxnorm = w->ops->nvmaxnorm;
271 ops->nvwrmsnormmask = w->ops->nvwrmsnormmask;
272 ops->nvwrmsnorm = w->ops->nvwrmsnorm;
273 ops->nvmin = w->ops->nvmin;
274 ops->nvwl2norm = w->ops->nvwl2norm;
275 ops->nvl1norm = w->ops->nvl1norm;
276 ops->nvcompare = w->ops->nvcompare;
277 ops->nvinvtest = w->ops->nvinvtest;
278 ops->nvconstrmask = w->ops->nvconstrmask;
279 ops->nvminquotient = w->ops->nvminquotient;
283 if (content ==
NULL) {
292 content->
nt = wcontent->
nt;
293 content->
data = (N_Vector*) malloc(
sizeof(N_Vector) * content->
nt);
300 for (
i = 0;
i < content->
nt; ++
i) {
305 v->content = content;
343 vs = (N_Vector*) malloc(count *
sizeof(N_Vector));
347 for (
j = 0;
j < count;
j++) {
372 vs = (N_Vector*) malloc(count *
sizeof(N_Vector));
376 for (
j = 0;
j < count;
j++) {
394 for (
j = 0;
j < count;
j++)
410 for (
i = 0;
i < nt;
i++) {
416 static void pr(N_Vector x) {
442 for (
i = 0;
i < nt; ++
i) {
444 data = N_VClone(wdata);
463 for (
i = 0;
i < nt; ++
i) {
490 return ((realtype*) v_data);
614 realtype prodi, *xd, *wd;
620 for (
i = 0;
i < N;
i++) {
621 prodi = (*xd++) * (*wd++);
622 sum += prodi * prodi;
647 return (RSqrt(
retval / N));
652 realtype sum =
ZERO, prodi, *xd, *wd, *idd;
659 for (
i = 0;
i < N;
i++) {
661 prodi = xd[
i] * wd[
i];
662 sum += prodi * prodi;
681 return (RSqrt(
retval / N));
687 if (NV_LENGTH_S(
xarg(
i))) {
702 realtype sum =
ZERO, prodi, *xd, *wd;
708 for (
i = 0;
i < N;
i++) {
709 prodi = (*xd++) * (*wd++);
710 sum += prodi * prodi;
734 sum = N_VL1Norm_Serial(
xarg(
i));
void nrn_multithread_job(void *(*job)(NrnThread *))
#define MUTCONSTRUCT(mkmut)
void N_VOneMask_Serial(N_Vector x)
static booleantype bretval
realtype N_VDotProd_NrnThreadLD(N_Vector x, N_Vector y)
void N_VInv_NrnThreadLD(N_Vector x, N_Vector z)
N_Vector N_VNew_NrnThreadLD(long int length, int nthread, long int *sizes)
static void * v1mask(NrnThread *nt)
void N_VPrint_NrnThreadLD(N_Vector x)
N_Vector * N_VNewVectorArray_NrnThreadLD(int count, long int length, int nthread, long int *sizes)
static void * vconstrmask(NrnThread *nt)
realtype N_VL1Norm_NrnThreadLD(N_Vector x)
N_Vector N_VCloneEmpty_NrnThreadLD(N_Vector w)
static realtype vwrmsnormmask_help(N_Vector x, N_Vector w, N_Vector id)
static void * vaddconst(NrnThread *nt)
static realtype N_VWL2Norm_helper(N_Vector x, N_Vector w)
static void * vscale(NrnThread *nt)
booleantype N_VConstrMask_NrnThreadLD(N_Vector y, N_Vector x, N_Vector z)
realtype N_VWL2Norm_NrnThreadLD(N_Vector x, N_Vector w)
static void * vwrmsnormmask(NrnThread *nt)
void N_VAbs_NrnThreadLD(N_Vector x, N_Vector z)
N_Vector N_VClone_NrnThreadLD(N_Vector w)
realtype N_VMin_NrnThreadLD(N_Vector x)
void N_VSetArrayPointer_NrnThreadLD(realtype *v_data, N_Vector v)
N_Vector N_VMake_NrnThreadLD(long int length, realtype *v_data)
#define locklongdadd(arg)
void N_VDiv_NrnThreadLD(N_Vector x, N_Vector y, N_Vector z)
realtype N_VMinQuotient_NrnThreadLD(N_Vector x, N_Vector y)
static void * vconst(NrnThread *nt)
static void * vabs(NrnThread *nt)
static void * vlinearsum(NrnThread *nt)
static void * vmin(NrnThread *nt)
void N_VConst_NrnThreadLD(realtype c, N_Vector z)
N_Vector * N_VNewVectorArrayEmpty_NrnThreadLD(int count, long int length, int nthread, long int *sizes)
void N_VCompare_NrnThreadLD(realtype c, N_Vector x, N_Vector z)
void N_VDestroyVectorArray_NrnThreadLD(N_Vector *vs, int count)
N_Vector N_VNewEmpty_NrnThreadLD(long int length, int nthread, long int *sizes)
realtype N_VWrmsNormMask_NrnThreadLD(N_Vector x, N_Vector w, N_Vector id)
static ldrealtype vwrmsnorm_help(N_Vector x, N_Vector w)
void N_VLinearSum_NrnThreadLD(realtype a, N_Vector x, realtype b, N_Vector y, N_Vector z)
booleantype N_VInvTest_NrnThreadLD(N_Vector x, N_Vector z)
static long double longdretval
static void * vdiv(NrnThread *nt)
static void * vprod(NrnThread *nt)
static void * vmaxnorm(NrnThread *nt)
static void * vminquotient(NrnThread *nt)
static void * vwl2norm(NrnThread *nt)
void N_VProd_NrnThreadLD(N_Vector x, N_Vector y, N_Vector z)
realtype N_VMaxNorm_NrnThreadLD(N_Vector x)
realtype N_VWrmsNorm_NrnThreadLD(N_Vector x, N_Vector w)
static void pr(N_Vector x)
void N_VScale_NrnThreadLD(realtype c, N_Vector x, N_Vector z)
realtype * N_VGetArrayPointer_NrnThreadLD(N_Vector v)
static void * vinv(NrnThread *nt)
void N_VOneMask_NrnThreadLD(N_Vector x)
static void * vinvtest(NrnThread *nt)
static void * vl1norm(NrnThread *nt)
static void * vdotprod(NrnThread *nt)
static void * vcompare(NrnThread *nt)
void N_VAddConst_NrnThreadLD(N_Vector x, realtype b, N_Vector z)
void N_VDestroy_NrnThreadLD(N_Vector v)
void N_VSpace_NrnThreadLD(N_Vector v, long int *lrw, long int *liw)
static void * vwrmsnorm(NrnThread *nt)
#define NV_CONTENT_NT_LD(v)
#define NV_SUBVEC_NT_LD(v, i)
#define NV_LENGTH_NT_LD(v)
#define NV_OWN_DATA_NT_LD(v)
struct _N_VectorContent_NrnThreadLD * N_VectorContent_NrnThreadLD
Represent main neuron object computed by single thread.