-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathmatlab_utils.h
549 lines (449 loc) · 15.9 KB
/
matlab_utils.h
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
#pragma once
#include "engine.h"
#include <cstdint>
#include <cstdarg>
#include <vector>
#include <Eigen/Sparse>
//#define ENABLE_MATLAB
#pragma warning(disable:4244)
//#define MATLAB_DEFAULT_RELEASE R2017b
//#define MATLAB_DEFAULT_RELEASE R2018a
#define MATLAB_DEFAULT_RELEASE R2020a
inline void ensure(bool cond, const char *msg, ...)
{ if (!cond) { va_list args; va_start(args, msg); vfprintf(stderr, (msg+std::string("\n")).c_str(), args); va_end(args); } }
#define ensureTypeMatch(R, m, othertype) ensure(MatlabNum<R>::id == mxGetClassID(m), "Matlab type does not match " othertype)
class MatlabEngine
{
public:
bool consoleOutput;
MatlabEngine():eng(nullptr), consoleOutput(true) { }
virtual ~MatlabEngine() { if(eng) close(); }
// Run inside matlab: enableservice('AutomationServer', true)
bool connect(const std::string &dir, bool closeAll=false);
bool connected() const { return eng!=nullptr; }
void setEnable(bool v) { if (v) connect(""); else close(); }
void eval(const std::string &cmd);
void close();
void hold_on() { eval("hold on;"); }
void hold_off() { eval("hold off;"); }
const char *output_buffer() { return (*engBuffer)?engBuffer:nullptr; }
bool hasVar(const std::string &name)
{
ensure(connected(), "Not connected to Matlab!");
mxArray *m = engGetVariable(eng, name.c_str());
bool r = (m != nullptr);
mxDestroyArray(m);
return r;
}
mxArray* getVariable(const std::string &name)
{
ensure(connected(), "Not connected to Matlab!");
mxArray *m = engGetVariable(eng, name.c_str());
ensure(m!=nullptr, "Matlab doesn't have a variable: %s\n", name.c_str());
return m;
}
int putVariable(const std::string &name, const mxArray *m)
{ ensure(connected(), "Not connected to Matlab!"); return engPutVariable(eng, name.c_str(), m); }
private:
Engine *eng; // Matlab engine
static const int lenEngBuffer = 1000000;
char engBuffer[lenEngBuffer]; // engine buffer for outputting strings
};
MatlabEngine& getMatEngine();
// inline void matlabEval(const char* cmd) { getMatEngine().eval(cmd); }
inline void matlabEval(const std::string &cmd) { getMatEngine().eval(cmd.c_str()); }
inline bool matEngineConnected() { return getMatEngine().connected(); }
template<typename R>
struct MatlabNum
{
static const mxClassID id = mxUNKNOWN_CLASS;
};
template<> struct MatlabNum<bool> { static const mxClassID id = mxLOGICAL_CLASS; };
template<> struct MatlabNum<char> { static const mxClassID id = mxCHAR_CLASS; };
template<> struct MatlabNum<int> { static const mxClassID id = mxINT32_CLASS; };
template<> struct MatlabNum<float> { static const mxClassID id = mxSINGLE_CLASS; };
template<> struct MatlabNum<double>{ static const mxClassID id = mxDOUBLE_CLASS; };
template<typename R>
inline mxArray* createMatlabArray(const mwSize *dims, int ndim)
{ return mxCreateNumericArray(ndim, dims, MatlabNum<R>::id, mxREAL); }
////////////////////////////////////////////////////////////////////////////////////////////////////
template<class R>
void VecVec2IdxVec(const std::vector<std::vector<R> >& in, std::vector<int>& v, std::vector<int>& idx)
{
const size_t nvec = in.size();
idx.resize(nvec+1);
idx[0] = 0;
size_t n = 0;
for(size_t i=0; i<nvec; i++) n += in[i].size();
v.clear();
v.reserve(n);
for(size_t i=0; i<nvec; i++){
v.insert(v.end(), in[i].begin(), in[i].end());
idx[i+1] = idx[i]+int(in[i].size());
}
}
template<class R>
std::vector<std::vector<R> > IdxVec2VecVec(const std::vector<int>& vcat, const std::vector<int>& vidx)
{
ensure(!vidx.empty(), "empty indices");
const size_t nvec = vidx.size()-1;
std::vector<std::vector<R> > v(nvec);
for(size_t i=0; i<nvec; i++) v[i] = std::vector<R>(vcat.begin()+vidx[i], vcat.begin()+vidx[i+1]);
return v;
}
////////////////////////////////////////////////////////////////////////////////////////////////////
template <class R>
void vector2matlab(const std::vector<R> &v, mxArray *m)
{
ensureTypeMatch(R, m, "std::vector");
R *pm = (R *)mxGetData(m);
for ( unsigned i = 0 ; i < v.size() ; i++ )
pm[i] = (R)v[i];
}
template<typename R=double>
void vector2matlab(const std::string &name , const std::vector<R> &v)
{
mwSize dim[] = { v.size() };
mxArray *m = createMatlabArray<R>(dim, 1);
vector2matlab(v, m);
getMatEngine().putVariable(name, m);
mxDestroyArray(m);
}
template <class R>
std::vector<R> matlab2vector(const mxArray *m)
{
ensureTypeMatch(R, m, "std::vector");
if (mxIsSparse(m)){ ensure(false, "matrix is sparse!"); return std::vector<R>(); }
const R *pm = (R*)mxGetData(m);
return std::vector<R>( pm, pm + mxGetNumberOfElements(m) );
}
inline std::string matlab2string(const std::string &name)
{
mxArray *m = getMatEngine().getVariable(name);
//std::wstring str(mxGetChars(m));
if (!m) return std::string();
size_t len = mxGetNumberOfElements(m) + 1;
std::vector<char> str(len);
mxGetString(m, str.data(), len);
mxDestroyArray(m);
return std::string(str.cbegin(), str.cend()-1);
}
inline std::vector<std::string> matlab2strings(const std::string &name)
{
mxArray *m = getMatEngine().getVariable(name);
std::vector<std::string> strs;
if (!m) return strs;
for (int i = 0; i < mxGetNumberOfElements(m); i++) {
mxArray *mstr = mxGetCell(m, i);
size_t len = mxGetNumberOfElements(mstr) + 1; // for \0 end
std::vector<char> str(len);
mxGetString(mstr, str.data(), len);
strs.push_back(std::string(str.cbegin(), str.cend()-1));
}
mxDestroyArray(m);
return strs;
}
inline void string2matlab(const std::string &name, const std::string &val)
{
mxArray *m = mxCreateString(val.c_str());
getMatEngine().putVariable(name, m);
mxDestroyArray(m);
}
template <class R=double>
std::vector<R> matlab2vector(const std::string &name, bool temp=false)
{
const std::string tempname("mytempval4c");
if (temp)
getMatEngine().eval(tempname + "=" + name + ";");
mxArray *m = getMatEngine().getVariable(temp?tempname:name);
if (!m) return std::vector<R>();
std::vector<R> v = matlab2vector<R>(m);
mxDestroyArray(m);
if (temp)
getMatEngine().eval( "clear " + tempname + ";");
return v;
}
////////////////////////////////////////////////////////////////////////////////////////////////////
template<class R=double>
void vecvec2matlabcell(const std::string &name, const std::vector<std::vector<R> > &v)
{
std::vector<int> vcat, vidx;
VecVec2IdxVec(v, vcat, vidx);
vector2matlab("vcat_tmp", vcat);
vector2matlab("vidx_tmp", vidx);
std::stringstream ss;
ss<<name<<" = indexedArray2cell(vcat_tmp+1, vidx_tmp+1); clear vcat_tmp vidx_tmp;";
matlabEval( ss.str() );
}
inline bool incMatCell(const std::string &name)
{
std::stringstream ss;
ss<<name<<" = cellfun( @(x) x+1, "<<name<<", 'UniformOutput', false);";
matlabEval( ss.str() );
}
inline bool decMatCell(const std::string &name)
{
std::stringstream ss;
ss<<name<<" = cellfun( @(x) x-1, "<<name<<", 'UniformOutput', false);";
matlabEval( ss.str() );
}
////////////////////////////////////////////////////////////////////////////////////////////////////
template<class R>
void matlabcell2idxvec(const std::string &name, std::vector<R> &vcat, std::vector<R> &vidx)
{
std::stringstream ss;
ss<<"[vcat_tmp vidx_tmp]=cell2indexedArray("<<name<<");";
matlabEval( ss.str() );
vcat = matlab2vector<int>("vcat_tmp");
vidx = matlab2vector<int>("vidx_tmp");
matlabEval( "clear vcat_tmp vidx_tmp;" );
}
//template<class R>
//std::vector<std::vector<R> > matlabcell2vecvec(const std::string &name)
//{
// std::vector<int> vcat, vidx;
// matlabcell2vecvec(name, vcat, vidx);
// return IdxVec2VecVec(vcat, vidx);
//}
//////////////////////////////////////////////////////////////////////////////////////////////////////
//template <class M>
//void matlab2eigen(const mxArray *m , Eigen::MatrixBase<M> &v)
//{
// typedef M::Scalar R;
// const mwSize *dim = mxGetDimensions(m);
// const R *pm = (R*)mxGetData(m);
//
// ensure(dim[0]==v.rows() && dim[1]==v.cols());
// //v.resize(dim[0], dim[1]);
//
// for ( unsigned i = 0 ; i < dim[0] ; i++ )
// for ( unsigned j = 0 ; j < dim[1] ; j++ ) {
// const mwSize ind2[] = {i, j};
// v(i,j) = pm[mxCalcSingleSubscript(m, 2, ind2)];
// }
//}
//
//template <class M>
//void matlab2eigen(const std::string &name, Eigen::MatrixBase<M> &v)
//{
// mxArray *m = getMatEngine().getVariable(name);
// if ( !m ) return;
//
// matlab2eigen(m, v);
//
// mxDestroyArray(m);
//}
template <class EigenMatrix>
void matlab2eigen(const mxArray *m , EigenMatrix &v)
{
typedef typename EigenMatrix::Scalar R;
ensureTypeMatch(R, m, "Eigen::Matrix");
if (mxIsSparse(m)){ ensure(false, "matrix is sparse!"); return; }
const mwSize *dim = mxGetDimensions(m);
v = Eigen::Map<const Eigen::Matrix<R,Eigen::Dynamic,Eigen::Dynamic,Eigen::ColMajor> >((R*)mxGetData(m), dim[0], dim[1]);
}
template <class Matrix>
void matlab2eigen(const std::string &name, Matrix &v, bool temp=false)
{
const std::string tempname("mytempval4c");
if (temp)
getMatEngine().eval(tempname + "=" + name + ";");
mxArray *m = getMatEngine().getVariable(temp?tempname:name);
if (!m) return;
matlab2eigen(m, v);
mxDestroyArray(m);
if (temp)
getMatEngine().eval( "clear " + tempname + ";");
}
template<class eigenSpMatrix>
void matlabSpmat2eigen(const mxArray* Spm, eigenSpMatrix & v)
{
#ifdef ENABLE_MATLAB
typedef typename eigenSpMatrix::Scalar R;
typedef Eigen::Map<Eigen::SparseMatrix<R, Eigen::ColMajor, std::make_signed<mwIndex>::type>> EigenSparseMat;
ensureTypeMatch(R, Spm, "Eigen::SparseMatrix");
if (!mxIsSparse(Spm)) { ensure(false, "matrix is not sparse!"); return; }
const mwSize *dim = mxGetDimensions(Spm);
typename EigenSparseMat::StorageIndex* Ir = reinterpret_cast<typename EigenSparseMat::StorageIndex*>(mxGetIr(Spm));
typename EigenSparseMat::StorageIndex* Jc = reinterpret_cast<typename EigenSparseMat::StorageIndex*>(mxGetJc(Spm));
R* Vp = reinterpret_cast<R*>(mxGetPr(Spm));
auto nnzs = mxGetNzmax(Spm);
int nrows = mxGetM(Spm);
int ncols = mxGetN(Spm);
v = Eigen::Map<Eigen::SparseMatrix<R, Eigen::ColMajor, std::make_signed<mwIndex>::type>>(nrows, ncols, nnzs, Jc, Ir, Vp);
#endif
}
template<class eigenSpMatrix>
void matlabSpmat2eigen(const std::string &name, eigenSpMatrix & v) {
auto& eng = getMatEngine();
if (!eng.connected()) {
eng.connect("");
}
auto* m = eng.getVariable(name);
if (m == nullptr) {
printf("matrix %s is not in MATLAB!", name.c_str());
return;
}
matlabSpmat2eigen(m, v);
mxDestroyArray(m);
}
template<class Mat>
inline void eigen2matlabComplex(const std::string &name, const Mat &vr, const Mat &vi)
{
#ifdef ENABLE_MATLAB
mwSize dim[] = { vr.rows(), vr.cols() };
mxArray *m = mxCreateNumericArray(2, dim, MatlabNum<double>::id, mxCOMPLEX);
using MapMat = Eigen::Map < Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic, Eigen::ColMajor> > ;
MapMat(mxGetPr(m), dim[0], dim[1]) = vr;
MapMat(mxGetPi(m), dim[0], dim[1]) = vi;
getMatEngine().putVariable(name, m);
mxDestroyArray(m);
#endif
}
template <class M>
void eigen2matlab(const Eigen::MatrixBase<M> &v, mxArray *m)
{
#ifdef ENABLE_MATLAB
typedef typename M::Scalar R;
ensureTypeMatch(R, m, "Eigen::Matrix");
using namespace Eigen;
Map<Matrix<R, Dynamic, Dynamic, ColMajor> >((R*)mxGetData(m), v.rows(), v.cols()) = v;
#endif
}
inline void scalar2matlab(const std::string &name, double v) {
mxArray *m = mxCreateDoubleScalar(v);
getMatEngine().putVariable(name, m);
mxDestroyArray(m);
}
inline double matlab2scalar(const std::string &name, double fallback=0, bool temp=false) {
const std::string tempname("mytempval4c");
auto &eng = getMatEngine();
if (temp) eng.eval(tempname + "=" + name + ";");
if (!eng.hasVar(temp ? tempname : name)) return fallback;
mxArray *m = eng.getVariable(temp?tempname:name);
ensure(mxIsScalar(m), "Matlab: %s is not a scalar!", name.c_str());
double r = (m && mxIsScalar(m))?mxGetScalar(m):fallback;
mxDestroyArray(m);
if (temp)
eng.eval( "clear " + tempname + ";");
return r;
}
template<class M>
void eigen2matlab(const std::string &name, const Eigen::MatrixBase<M> &v)
{
typedef typename M::Scalar R;
mwSize dim[] = { mwSize(v.rows()), mwSize(v.cols()) };
mxArray *m = createMatlabArray<R>(dim, 2);
if (m == nullptr) printf("-- \033[31meigen2mat failed (nullptr)\033[0m\n");
eigen2matlab(v, m);
if (getMatEngine().putVariable(name, m)) {
printf("-- \033[31meigen2mat failed (transfer failed)\033[0m\n");
}
mxDestroyArray(m);
}
template <class R>
void eigen2matlab(const std::string &name, const Eigen::SparseMatrix<R,Eigen::ColMajor> &A)
{
#ifdef ENABLE_MATLAB
int rows = A.rows(), cols = A.cols(), nnz = A.nonZeros();
mxArray *m = mxCreateSparse(rows, cols, nnz, mxREAL);
if (m == nullptr) printf("-- \033[31meigen2mat failed (nullptr)\033[0m\n");
//mxSetPr(m, (double*)mxRealloc(mxGetPr(m), (nnz + 1) * sizeof(R)));
//mxSetIr(m, (mwIndex*)mxRealloc(mxGetIr(m), (nnz + 1) * sizeof(mwIndex)));
std::copy_n(A.valuePtr(), nnz, mxGetPr(m));
std::copy_n(A.outerIndexPtr(), rows+1, mxGetJc(m));
std::copy_n(A.innerIndexPtr(), nnz, mxGetIr(m));
if (getMatEngine().putVariable(name, m)) {
printf("-- \033[31meigen2mat failed (transfer failed)\033[0m\n");
}
mxDestroyArray(m);
#endif
}
template<class M>
void eigen2ConnectedMatlab(const std::string &name, const Eigen::MatrixBase<M> &v) {
#ifdef ENABLE_MATLAB
auto& eng = getMatEngine();
if (!eng.connected())
{
eng.connect("");
}
eigen2matlab(name, v);
#endif
}
template<class R>
void array2ConnectedMatlab(const std::string& name, const R* ptr, size_t len) {
#ifdef ENABLE_MATLAB
auto& eng = getMatEngine();
if (!eng.connected()) {
eng.connect("");
}
Eigen::Matrix<double, -1, 1> x(len, 1);
for (int i = 0; i < len; i++) {
x[i] = ptr[i];
}
eigen2matlab(name, x);
#endif
}
template<class R>
void arrays2ConnectedMatlab(const std::string& name, const R** ptr, int len, int n_array) {
#ifdef ENABLE_MATLAB
auto& eng = getMatEngine();
if (!eng.connected()) {
eng.connect("");
}
Eigen::Matrix<double, -1, -1> x(len, n_array);
for (int n = 0; n < n_array; n++) {
for (int i = 0; i < len; i++) {
x(i, n) = ptr[n][i];
}
}
eigen2matlab(name, x);
#endif
}
template <class R>
void eigen2ConnectedMatlab(const std::string &name, const Eigen::SparseMatrix<R, Eigen::ColMajor> &A) {
#ifdef ENABLE_MATLAB
auto& eng = getMatEngine();
if (!eng.connected())
{
eng.connect("");
}
if (A.cols() != A.rows()) {
int maxsize = 0;
if (A.cols() != A.rows()) {
maxsize = (std::max)(A.cols(), A.rows());
}
Eigen::SparseMatrix<R, Eigen::ColMajor> B = A;
B.conservativeResize(maxsize, maxsize);
eigen2matlab(name, B);
Eigen::Matrix<double, 2, 1> bsize;
bsize[0] = A.rows(); bsize[1] = A.cols();
eigen2ConnectedMatlab("asize", bsize);
char resizestr[1000];
sprintf_s(resizestr, "%s=%s(1:asize(1),1:asize(2));", name.c_str(), name.c_str());
eng.eval(resizestr);
}
else {
eigen2matlab(name, A);
}
#endif
}
template<class R>
void eigen2ConnectedMatlab(const std::string &name, const Eigen::SparseMatrix<R, Eigen::RowMajor> &A) {
#ifdef ENABLE_MATLAB
auto& eng = getMatEngine();
if (!eng.connected()) {
eng.connect("");
}
Eigen::SparseMatrix<R, Eigen::ColMajor> Ac = A;
eigen2matlab(name, Ac);
#endif
}
template<typename T, typename std::enable_if<std::is_scalar<T>::value, int >::type = 0>
void scaler2ConnectedMatlab(const std::string &name, T val) {
#ifdef ENABLE_MATLAB
Eigen::Matrix<double, 1, 1> scalarmat;
scalarmat[0] = val;
eigen2ConnectedMatlab(name, scalarmat);
#endif
}