blob: 7821a1738dfca43f65dba67389a19e16a739a8f8 [file] [log] [blame]
Brian Silverman72890c22015-09-19 14:37:37 -04001// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
5// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
6//
7// This Source Code Form is subject to the terms of the Mozilla
8// Public License v. 2.0. If a copy of the MPL was not distributed
9// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10
11#include "main.h"
Austin Schuh189376f2018-12-20 22:11:15 +110012#include "unsupported/Eigen/SpecialFunctions"
Brian Silverman72890c22015-09-19 14:37:37 -040013
Austin Schuh189376f2018-12-20 22:11:15 +110014#if defined __GNUC__ && __GNUC__>=6
15 #pragma GCC diagnostic ignored "-Wignored-attributes"
16#endif
Brian Silverman72890c22015-09-19 14:37:37 -040017// using namespace Eigen;
18
Austin Schuh189376f2018-12-20 22:11:15 +110019#ifdef EIGEN_VECTORIZE_SSE
20const bool g_vectorize_sse = true;
21#else
22const bool g_vectorize_sse = false;
23#endif
24
Brian Silverman72890c22015-09-19 14:37:37 -040025namespace Eigen {
26namespace internal {
27template<typename T> T negate(const T& x) { return -x; }
28}
29}
30
Austin Schuh189376f2018-12-20 22:11:15 +110031// NOTE: we disbale inlining for this function to workaround a GCC issue when using -O3 and the i387 FPU.
32template<typename Scalar> EIGEN_DONT_INLINE
33bool isApproxAbs(const Scalar& a, const Scalar& b, const typename NumTraits<Scalar>::Real& refvalue)
Brian Silverman72890c22015-09-19 14:37:37 -040034{
35 return internal::isMuchSmallerThan(a-b, refvalue);
36}
37
38template<typename Scalar> bool areApproxAbs(const Scalar* a, const Scalar* b, int size, const typename NumTraits<Scalar>::Real& refvalue)
39{
40 for (int i=0; i<size; ++i)
41 {
42 if (!isApproxAbs(a[i],b[i],refvalue))
43 {
Austin Schuh189376f2018-12-20 22:11:15 +110044 std::cout << "ref: [" << Map<const Matrix<Scalar,1,Dynamic> >(a,size) << "]" << " != vec: [" << Map<const Matrix<Scalar,1,Dynamic> >(b,size) << "]\n";
Brian Silverman72890c22015-09-19 14:37:37 -040045 return false;
46 }
47 }
48 return true;
49}
50
51template<typename Scalar> bool areApprox(const Scalar* a, const Scalar* b, int size)
52{
53 for (int i=0; i<size; ++i)
54 {
55 if (a[i]!=b[i] && !internal::isApprox(a[i],b[i]))
56 {
Austin Schuh189376f2018-12-20 22:11:15 +110057 std::cout << "ref: [" << Map<const Matrix<Scalar,1,Dynamic> >(a,size) << "]" << " != vec: [" << Map<const Matrix<Scalar,1,Dynamic> >(b,size) << "]\n";
Brian Silverman72890c22015-09-19 14:37:37 -040058 return false;
59 }
60 }
61 return true;
62}
63
Brian Silverman72890c22015-09-19 14:37:37 -040064#define CHECK_CWISE1(REFOP, POP) { \
65 for (int i=0; i<PacketSize; ++i) \
66 ref[i] = REFOP(data1[i]); \
67 internal::pstore(data2, POP(internal::pload<Packet>(data1))); \
68 VERIFY(areApprox(ref, data2, PacketSize) && #POP); \
69}
70
71template<bool Cond,typename Packet>
72struct packet_helper
73{
74 template<typename T>
75 inline Packet load(const T* from) const { return internal::pload<Packet>(from); }
76
77 template<typename T>
78 inline void store(T* to, const Packet& x) const { internal::pstore(to,x); }
79};
80
81template<typename Packet>
82struct packet_helper<false,Packet>
83{
84 template<typename T>
85 inline T load(const T* from) const { return *from; }
86
87 template<typename T>
88 inline void store(T* to, const T& x) const { *to = x; }
89};
90
91#define CHECK_CWISE1_IF(COND, REFOP, POP) if(COND) { \
92 packet_helper<COND,Packet> h; \
93 for (int i=0; i<PacketSize; ++i) \
94 ref[i] = REFOP(data1[i]); \
95 h.store(data2, POP(h.load(data1))); \
96 VERIFY(areApprox(ref, data2, PacketSize) && #POP); \
97}
98
Austin Schuh189376f2018-12-20 22:11:15 +110099#define CHECK_CWISE2_IF(COND, REFOP, POP) if(COND) { \
100 packet_helper<COND,Packet> h; \
101 for (int i=0; i<PacketSize; ++i) \
102 ref[i] = REFOP(data1[i], data1[i+PacketSize]); \
103 h.store(data2, POP(h.load(data1),h.load(data1+PacketSize))); \
104 VERIFY(areApprox(ref, data2, PacketSize) && #POP); \
105}
106
Brian Silverman72890c22015-09-19 14:37:37 -0400107#define REF_ADD(a,b) ((a)+(b))
108#define REF_SUB(a,b) ((a)-(b))
109#define REF_MUL(a,b) ((a)*(b))
110#define REF_DIV(a,b) ((a)/(b))
111
112template<typename Scalar> void packetmath()
113{
114 using std::abs;
Austin Schuh189376f2018-12-20 22:11:15 +1100115 typedef internal::packet_traits<Scalar> PacketTraits;
116 typedef typename PacketTraits::type Packet;
117 const int PacketSize = PacketTraits::size;
Brian Silverman72890c22015-09-19 14:37:37 -0400118 typedef typename NumTraits<Scalar>::Real RealScalar;
119
Austin Schuh189376f2018-12-20 22:11:15 +1100120 const int max_size = PacketSize > 4 ? PacketSize : 4;
121 const int size = PacketSize*max_size;
122 EIGEN_ALIGN_MAX Scalar data1[size];
123 EIGEN_ALIGN_MAX Scalar data2[size];
124 EIGEN_ALIGN_MAX Packet packets[PacketSize*2];
125 EIGEN_ALIGN_MAX Scalar ref[size];
Brian Silverman72890c22015-09-19 14:37:37 -0400126 RealScalar refvalue = 0;
127 for (int i=0; i<size; ++i)
128 {
129 data1[i] = internal::random<Scalar>()/RealScalar(PacketSize);
130 data2[i] = internal::random<Scalar>()/RealScalar(PacketSize);
131 refvalue = (std::max)(refvalue,abs(data1[i]));
132 }
133
134 internal::pstore(data2, internal::pload<Packet>(data1));
135 VERIFY(areApprox(data1, data2, PacketSize) && "aligned load/store");
136
137 for (int offset=0; offset<PacketSize; ++offset)
138 {
139 internal::pstore(data2, internal::ploadu<Packet>(data1+offset));
140 VERIFY(areApprox(data1+offset, data2, PacketSize) && "internal::ploadu");
141 }
142
143 for (int offset=0; offset<PacketSize; ++offset)
144 {
145 internal::pstoreu(data2+offset, internal::pload<Packet>(data1));
146 VERIFY(areApprox(data1, data2+offset, PacketSize) && "internal::pstoreu");
147 }
148
149 for (int offset=0; offset<PacketSize; ++offset)
150 {
151 packets[0] = internal::pload<Packet>(data1);
152 packets[1] = internal::pload<Packet>(data1+PacketSize);
153 if (offset==0) internal::palign<0>(packets[0], packets[1]);
154 else if (offset==1) internal::palign<1>(packets[0], packets[1]);
155 else if (offset==2) internal::palign<2>(packets[0], packets[1]);
156 else if (offset==3) internal::palign<3>(packets[0], packets[1]);
Austin Schuh189376f2018-12-20 22:11:15 +1100157 else if (offset==4) internal::palign<4>(packets[0], packets[1]);
158 else if (offset==5) internal::palign<5>(packets[0], packets[1]);
159 else if (offset==6) internal::palign<6>(packets[0], packets[1]);
160 else if (offset==7) internal::palign<7>(packets[0], packets[1]);
161 else if (offset==8) internal::palign<8>(packets[0], packets[1]);
162 else if (offset==9) internal::palign<9>(packets[0], packets[1]);
163 else if (offset==10) internal::palign<10>(packets[0], packets[1]);
164 else if (offset==11) internal::palign<11>(packets[0], packets[1]);
165 else if (offset==12) internal::palign<12>(packets[0], packets[1]);
166 else if (offset==13) internal::palign<13>(packets[0], packets[1]);
167 else if (offset==14) internal::palign<14>(packets[0], packets[1]);
168 else if (offset==15) internal::palign<15>(packets[0], packets[1]);
Brian Silverman72890c22015-09-19 14:37:37 -0400169 internal::pstore(data2, packets[0]);
170
171 for (int i=0; i<PacketSize; ++i)
172 ref[i] = data1[i+offset];
173
174 VERIFY(areApprox(ref, data2, PacketSize) && "internal::palign");
175 }
176
Austin Schuh189376f2018-12-20 22:11:15 +1100177 VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasAdd);
178 VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasSub);
179 VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasMul);
180 VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasNegate);
181 VERIFY((internal::is_same<Scalar,int>::value) || (!PacketTraits::Vectorizable) || PacketTraits::HasDiv);
182
183 CHECK_CWISE2_IF(PacketTraits::HasAdd, REF_ADD, internal::padd);
184 CHECK_CWISE2_IF(PacketTraits::HasSub, REF_SUB, internal::psub);
185 CHECK_CWISE2_IF(PacketTraits::HasMul, REF_MUL, internal::pmul);
186 CHECK_CWISE2_IF(PacketTraits::HasDiv, REF_DIV, internal::pdiv);
187
Brian Silverman72890c22015-09-19 14:37:37 -0400188 CHECK_CWISE1(internal::negate, internal::pnegate);
189 CHECK_CWISE1(numext::conj, internal::pconj);
190
191 for(int offset=0;offset<3;++offset)
192 {
193 for (int i=0; i<PacketSize; ++i)
194 ref[i] = data1[offset];
195 internal::pstore(data2, internal::pset1<Packet>(data1[offset]));
196 VERIFY(areApprox(ref, data2, PacketSize) && "internal::pset1");
197 }
Austin Schuh189376f2018-12-20 22:11:15 +1100198
199 {
200 for (int i=0; i<PacketSize*4; ++i)
201 ref[i] = data1[i/PacketSize];
202 Packet A0, A1, A2, A3;
203 internal::pbroadcast4<Packet>(data1, A0, A1, A2, A3);
204 internal::pstore(data2+0*PacketSize, A0);
205 internal::pstore(data2+1*PacketSize, A1);
206 internal::pstore(data2+2*PacketSize, A2);
207 internal::pstore(data2+3*PacketSize, A3);
208 VERIFY(areApprox(ref, data2, 4*PacketSize) && "internal::pbroadcast4");
209 }
210
211 {
212 for (int i=0; i<PacketSize*2; ++i)
213 ref[i] = data1[i/PacketSize];
214 Packet A0, A1;
215 internal::pbroadcast2<Packet>(data1, A0, A1);
216 internal::pstore(data2+0*PacketSize, A0);
217 internal::pstore(data2+1*PacketSize, A1);
218 VERIFY(areApprox(ref, data2, 2*PacketSize) && "internal::pbroadcast2");
219 }
220
Brian Silverman72890c22015-09-19 14:37:37 -0400221 VERIFY(internal::isApprox(data1[0], internal::pfirst(internal::pload<Packet>(data1))) && "internal::pfirst");
Austin Schuh189376f2018-12-20 22:11:15 +1100222
Brian Silverman72890c22015-09-19 14:37:37 -0400223 if(PacketSize>1)
224 {
225 for(int offset=0;offset<4;++offset)
226 {
227 for(int i=0;i<PacketSize/2;++i)
228 ref[2*i+0] = ref[2*i+1] = data1[offset+i];
229 internal::pstore(data2,internal::ploaddup<Packet>(data1+offset));
230 VERIFY(areApprox(ref, data2, PacketSize) && "ploaddup");
231 }
232 }
233
Austin Schuh189376f2018-12-20 22:11:15 +1100234 if(PacketSize>2)
235 {
236 for(int offset=0;offset<4;++offset)
237 {
238 for(int i=0;i<PacketSize/4;++i)
239 ref[4*i+0] = ref[4*i+1] = ref[4*i+2] = ref[4*i+3] = data1[offset+i];
240 internal::pstore(data2,internal::ploadquad<Packet>(data1+offset));
241 VERIFY(areApprox(ref, data2, PacketSize) && "ploadquad");
242 }
243 }
244
Brian Silverman72890c22015-09-19 14:37:37 -0400245 ref[0] = 0;
246 for (int i=0; i<PacketSize; ++i)
247 ref[0] += data1[i];
248 VERIFY(isApproxAbs(ref[0], internal::predux(internal::pload<Packet>(data1)), refvalue) && "internal::predux");
249
Austin Schuh189376f2018-12-20 22:11:15 +1100250 {
251 for (int i=0; i<4; ++i)
252 ref[i] = 0;
253 for (int i=0; i<PacketSize; ++i)
254 ref[i%4] += data1[i];
255 internal::pstore(data2, internal::predux_downto4(internal::pload<Packet>(data1)));
256 VERIFY(areApprox(ref, data2, PacketSize>4?PacketSize/2:PacketSize) && "internal::predux_downto4");
257 }
258
Brian Silverman72890c22015-09-19 14:37:37 -0400259 ref[0] = 1;
260 for (int i=0; i<PacketSize; ++i)
261 ref[0] *= data1[i];
262 VERIFY(internal::isApprox(ref[0], internal::predux_mul(internal::pload<Packet>(data1))) && "internal::predux_mul");
263
264 for (int j=0; j<PacketSize; ++j)
265 {
266 ref[j] = 0;
267 for (int i=0; i<PacketSize; ++i)
268 ref[j] += data1[i+j*PacketSize];
269 packets[j] = internal::pload<Packet>(data1+j*PacketSize);
270 }
271 internal::pstore(data2, internal::preduxp(packets));
272 VERIFY(areApproxAbs(ref, data2, PacketSize, refvalue) && "internal::preduxp");
273
274 for (int i=0; i<PacketSize; ++i)
275 ref[i] = data1[PacketSize-i-1];
276 internal::pstore(data2, internal::preverse(internal::pload<Packet>(data1)));
277 VERIFY(areApprox(ref, data2, PacketSize) && "internal::preverse");
Austin Schuh189376f2018-12-20 22:11:15 +1100278
279 internal::PacketBlock<Packet> kernel;
280 for (int i=0; i<PacketSize; ++i) {
281 kernel.packet[i] = internal::pload<Packet>(data1+i*PacketSize);
282 }
283 ptranspose(kernel);
284 for (int i=0; i<PacketSize; ++i) {
285 internal::pstore(data2, kernel.packet[i]);
286 for (int j = 0; j < PacketSize; ++j) {
287 VERIFY(isApproxAbs(data2[j], data1[i+j*PacketSize], refvalue) && "ptranspose");
288 }
289 }
290
291 if (PacketTraits::HasBlend) {
292 Packet thenPacket = internal::pload<Packet>(data1);
293 Packet elsePacket = internal::pload<Packet>(data2);
294 EIGEN_ALIGN_MAX internal::Selector<PacketSize> selector;
295 for (int i = 0; i < PacketSize; ++i) {
296 selector.select[i] = i;
297 }
298
299 Packet blend = internal::pblend(selector, thenPacket, elsePacket);
300 EIGEN_ALIGN_MAX Scalar result[size];
301 internal::pstore(result, blend);
302 for (int i = 0; i < PacketSize; ++i) {
303 VERIFY(isApproxAbs(result[i], (selector.select[i] ? data1[i] : data2[i]), refvalue));
304 }
305 }
306
307 if (PacketTraits::HasBlend || g_vectorize_sse) {
308 // pinsertfirst
309 for (int i=0; i<PacketSize; ++i)
310 ref[i] = data1[i];
311 Scalar s = internal::random<Scalar>();
312 ref[0] = s;
313 internal::pstore(data2, internal::pinsertfirst(internal::pload<Packet>(data1),s));
314 VERIFY(areApprox(ref, data2, PacketSize) && "internal::pinsertfirst");
315 }
316
317 if (PacketTraits::HasBlend || g_vectorize_sse) {
318 // pinsertlast
319 for (int i=0; i<PacketSize; ++i)
320 ref[i] = data1[i];
321 Scalar s = internal::random<Scalar>();
322 ref[PacketSize-1] = s;
323 internal::pstore(data2, internal::pinsertlast(internal::pload<Packet>(data1),s));
324 VERIFY(areApprox(ref, data2, PacketSize) && "internal::pinsertlast");
325 }
Brian Silverman72890c22015-09-19 14:37:37 -0400326}
327
328template<typename Scalar> void packetmath_real()
329{
330 using std::abs;
Austin Schuh189376f2018-12-20 22:11:15 +1100331 typedef internal::packet_traits<Scalar> PacketTraits;
332 typedef typename PacketTraits::type Packet;
333 const int PacketSize = PacketTraits::size;
Brian Silverman72890c22015-09-19 14:37:37 -0400334
335 const int size = PacketSize*4;
Austin Schuh189376f2018-12-20 22:11:15 +1100336 EIGEN_ALIGN_MAX Scalar data1[PacketTraits::size*4];
337 EIGEN_ALIGN_MAX Scalar data2[PacketTraits::size*4];
338 EIGEN_ALIGN_MAX Scalar ref[PacketTraits::size*4];
Brian Silverman72890c22015-09-19 14:37:37 -0400339
340 for (int i=0; i<size; ++i)
341 {
342 data1[i] = internal::random<Scalar>(-1,1) * std::pow(Scalar(10), internal::random<Scalar>(-3,3));
343 data2[i] = internal::random<Scalar>(-1,1) * std::pow(Scalar(10), internal::random<Scalar>(-3,3));
344 }
Austin Schuh189376f2018-12-20 22:11:15 +1100345 CHECK_CWISE1_IF(PacketTraits::HasSin, std::sin, internal::psin);
346 CHECK_CWISE1_IF(PacketTraits::HasCos, std::cos, internal::pcos);
347 CHECK_CWISE1_IF(PacketTraits::HasTan, std::tan, internal::ptan);
348
349 CHECK_CWISE1_IF(PacketTraits::HasRound, numext::round, internal::pround);
350 CHECK_CWISE1_IF(PacketTraits::HasCeil, numext::ceil, internal::pceil);
351 CHECK_CWISE1_IF(PacketTraits::HasFloor, numext::floor, internal::pfloor);
352
Brian Silverman72890c22015-09-19 14:37:37 -0400353 for (int i=0; i<size; ++i)
354 {
355 data1[i] = internal::random<Scalar>(-1,1);
356 data2[i] = internal::random<Scalar>(-1,1);
357 }
Austin Schuh189376f2018-12-20 22:11:15 +1100358 CHECK_CWISE1_IF(PacketTraits::HasASin, std::asin, internal::pasin);
359 CHECK_CWISE1_IF(PacketTraits::HasACos, std::acos, internal::pacos);
Brian Silverman72890c22015-09-19 14:37:37 -0400360
361 for (int i=0; i<size; ++i)
362 {
363 data1[i] = internal::random<Scalar>(-87,88);
364 data2[i] = internal::random<Scalar>(-87,88);
365 }
Austin Schuh189376f2018-12-20 22:11:15 +1100366 CHECK_CWISE1_IF(PacketTraits::HasExp, std::exp, internal::pexp);
367 for (int i=0; i<size; ++i)
368 {
369 data1[i] = internal::random<Scalar>(-1,1) * std::pow(Scalar(10), internal::random<Scalar>(-6,6));
370 data2[i] = internal::random<Scalar>(-1,1) * std::pow(Scalar(10), internal::random<Scalar>(-6,6));
371 }
372 CHECK_CWISE1_IF(PacketTraits::HasTanh, std::tanh, internal::ptanh);
373 if(PacketTraits::HasExp && PacketTraits::size>=2)
Brian Silverman72890c22015-09-19 14:37:37 -0400374 {
375 data1[0] = std::numeric_limits<Scalar>::quiet_NaN();
Austin Schuh189376f2018-12-20 22:11:15 +1100376 data1[1] = std::numeric_limits<Scalar>::epsilon();
377 packet_helper<PacketTraits::HasExp,Packet> h;
378 h.store(data2, internal::pexp(h.load(data1)));
379 VERIFY((numext::isnan)(data2[0]));
380 VERIFY_IS_EQUAL(std::exp(std::numeric_limits<Scalar>::epsilon()), data2[1]);
381
382 data1[0] = -std::numeric_limits<Scalar>::epsilon();
383 data1[1] = 0;
384 h.store(data2, internal::pexp(h.load(data1)));
385 VERIFY_IS_EQUAL(std::exp(-std::numeric_limits<Scalar>::epsilon()), data2[0]);
386 VERIFY_IS_EQUAL(std::exp(Scalar(0)), data2[1]);
387
388 data1[0] = (std::numeric_limits<Scalar>::min)();
389 data1[1] = -(std::numeric_limits<Scalar>::min)();
390 h.store(data2, internal::pexp(h.load(data1)));
391 VERIFY_IS_EQUAL(std::exp((std::numeric_limits<Scalar>::min)()), data2[0]);
392 VERIFY_IS_EQUAL(std::exp(-(std::numeric_limits<Scalar>::min)()), data2[1]);
393
394 data1[0] = std::numeric_limits<Scalar>::denorm_min();
395 data1[1] = -std::numeric_limits<Scalar>::denorm_min();
396 h.store(data2, internal::pexp(h.load(data1)));
397 VERIFY_IS_EQUAL(std::exp(std::numeric_limits<Scalar>::denorm_min()), data2[0]);
398 VERIFY_IS_EQUAL(std::exp(-std::numeric_limits<Scalar>::denorm_min()), data2[1]);
Brian Silverman72890c22015-09-19 14:37:37 -0400399 }
400
Austin Schuh189376f2018-12-20 22:11:15 +1100401 if (PacketTraits::HasTanh) {
402 // NOTE this test migh fail with GCC prior to 6.3, see MathFunctionsImpl.h for details.
403 data1[0] = std::numeric_limits<Scalar>::quiet_NaN();
404 packet_helper<internal::packet_traits<Scalar>::HasTanh,Packet> h;
405 h.store(data2, internal::ptanh(h.load(data1)));
406 VERIFY((numext::isnan)(data2[0]));
407 }
408
409#if EIGEN_HAS_C99_MATH
410 {
411 data1[0] = std::numeric_limits<Scalar>::quiet_NaN();
412 packet_helper<internal::packet_traits<Scalar>::HasLGamma,Packet> h;
413 h.store(data2, internal::plgamma(h.load(data1)));
414 VERIFY((numext::isnan)(data2[0]));
415 }
416 {
417 data1[0] = std::numeric_limits<Scalar>::quiet_NaN();
418 packet_helper<internal::packet_traits<Scalar>::HasErf,Packet> h;
419 h.store(data2, internal::perf(h.load(data1)));
420 VERIFY((numext::isnan)(data2[0]));
421 }
422 {
423 data1[0] = std::numeric_limits<Scalar>::quiet_NaN();
424 packet_helper<internal::packet_traits<Scalar>::HasErfc,Packet> h;
425 h.store(data2, internal::perfc(h.load(data1)));
426 VERIFY((numext::isnan)(data2[0]));
427 }
428#endif // EIGEN_HAS_C99_MATH
429
Brian Silverman72890c22015-09-19 14:37:37 -0400430 for (int i=0; i<size; ++i)
431 {
432 data1[i] = internal::random<Scalar>(0,1) * std::pow(Scalar(10), internal::random<Scalar>(-6,6));
433 data2[i] = internal::random<Scalar>(0,1) * std::pow(Scalar(10), internal::random<Scalar>(-6,6));
434 }
Austin Schuh189376f2018-12-20 22:11:15 +1100435
436 if(internal::random<float>(0,1)<0.1f)
Brian Silverman72890c22015-09-19 14:37:37 -0400437 data1[internal::random<int>(0, PacketSize)] = 0;
Austin Schuh189376f2018-12-20 22:11:15 +1100438 CHECK_CWISE1_IF(PacketTraits::HasSqrt, std::sqrt, internal::psqrt);
439 CHECK_CWISE1_IF(PacketTraits::HasLog, std::log, internal::plog);
440#if EIGEN_HAS_C99_MATH && (__cplusplus > 199711L)
441 CHECK_CWISE1_IF(PacketTraits::HasLog1p, std::log1p, internal::plog1p);
442 CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasLGamma, std::lgamma, internal::plgamma);
443 CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasErf, std::erf, internal::perf);
444 CHECK_CWISE1_IF(internal::packet_traits<Scalar>::HasErfc, std::erfc, internal::perfc);
445#endif
446
447 if(PacketTraits::HasLog && PacketTraits::size>=2)
Brian Silverman72890c22015-09-19 14:37:37 -0400448 {
449 data1[0] = std::numeric_limits<Scalar>::quiet_NaN();
Austin Schuh189376f2018-12-20 22:11:15 +1100450 data1[1] = std::numeric_limits<Scalar>::epsilon();
451 packet_helper<PacketTraits::HasLog,Packet> h;
Brian Silverman72890c22015-09-19 14:37:37 -0400452 h.store(data2, internal::plog(h.load(data1)));
Austin Schuh189376f2018-12-20 22:11:15 +1100453 VERIFY((numext::isnan)(data2[0]));
454 VERIFY_IS_EQUAL(std::log(std::numeric_limits<Scalar>::epsilon()), data2[1]);
455
456 data1[0] = -std::numeric_limits<Scalar>::epsilon();
457 data1[1] = 0;
Brian Silverman72890c22015-09-19 14:37:37 -0400458 h.store(data2, internal::plog(h.load(data1)));
Austin Schuh189376f2018-12-20 22:11:15 +1100459 VERIFY((numext::isnan)(data2[0]));
460 VERIFY_IS_EQUAL(std::log(Scalar(0)), data2[1]);
461
462 data1[0] = (std::numeric_limits<Scalar>::min)();
463 data1[1] = -(std::numeric_limits<Scalar>::min)();
464 h.store(data2, internal::plog(h.load(data1)));
465 VERIFY_IS_EQUAL(std::log((std::numeric_limits<Scalar>::min)()), data2[0]);
466 VERIFY((numext::isnan)(data2[1]));
467
468 data1[0] = std::numeric_limits<Scalar>::denorm_min();
469 data1[1] = -std::numeric_limits<Scalar>::denorm_min();
470 h.store(data2, internal::plog(h.load(data1)));
471 // VERIFY_IS_EQUAL(std::log(std::numeric_limits<Scalar>::denorm_min()), data2[0]);
472 VERIFY((numext::isnan)(data2[1]));
473
474 data1[0] = Scalar(-1.0f);
475 h.store(data2, internal::plog(h.load(data1)));
476 VERIFY((numext::isnan)(data2[0]));
Brian Silverman72890c22015-09-19 14:37:37 -0400477 h.store(data2, internal::psqrt(h.load(data1)));
Austin Schuh189376f2018-12-20 22:11:15 +1100478 VERIFY((numext::isnan)(data2[0]));
479 VERIFY((numext::isnan)(data2[1]));
Brian Silverman72890c22015-09-19 14:37:37 -0400480 }
481}
482
483template<typename Scalar> void packetmath_notcomplex()
484{
485 using std::abs;
Austin Schuh189376f2018-12-20 22:11:15 +1100486 typedef internal::packet_traits<Scalar> PacketTraits;
487 typedef typename PacketTraits::type Packet;
488 const int PacketSize = PacketTraits::size;
Brian Silverman72890c22015-09-19 14:37:37 -0400489
Austin Schuh189376f2018-12-20 22:11:15 +1100490 EIGEN_ALIGN_MAX Scalar data1[PacketTraits::size*4];
491 EIGEN_ALIGN_MAX Scalar data2[PacketTraits::size*4];
492 EIGEN_ALIGN_MAX Scalar ref[PacketTraits::size*4];
493
494 Array<Scalar,Dynamic,1>::Map(data1, PacketTraits::size*4).setRandom();
Brian Silverman72890c22015-09-19 14:37:37 -0400495
496 ref[0] = data1[0];
497 for (int i=0; i<PacketSize; ++i)
498 ref[0] = (std::min)(ref[0],data1[i]);
499 VERIFY(internal::isApprox(ref[0], internal::predux_min(internal::pload<Packet>(data1))) && "internal::predux_min");
500
Austin Schuh189376f2018-12-20 22:11:15 +1100501 VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasMin);
502 VERIFY((!PacketTraits::Vectorizable) || PacketTraits::HasMax);
503
504 CHECK_CWISE2_IF(PacketTraits::HasMin, (std::min), internal::pmin);
505 CHECK_CWISE2_IF(PacketTraits::HasMax, (std::max), internal::pmax);
Brian Silverman72890c22015-09-19 14:37:37 -0400506 CHECK_CWISE1(abs, internal::pabs);
507
508 ref[0] = data1[0];
509 for (int i=0; i<PacketSize; ++i)
510 ref[0] = (std::max)(ref[0],data1[i]);
511 VERIFY(internal::isApprox(ref[0], internal::predux_max(internal::pload<Packet>(data1))) && "internal::predux_max");
Austin Schuh189376f2018-12-20 22:11:15 +1100512
Brian Silverman72890c22015-09-19 14:37:37 -0400513 for (int i=0; i<PacketSize; ++i)
514 ref[i] = data1[0]+Scalar(i);
Austin Schuh189376f2018-12-20 22:11:15 +1100515 internal::pstore(data2, internal::plset<Packet>(data1[0]));
Brian Silverman72890c22015-09-19 14:37:37 -0400516 VERIFY(areApprox(ref, data2, PacketSize) && "internal::plset");
517}
518
519template<typename Scalar,bool ConjLhs,bool ConjRhs> void test_conj_helper(Scalar* data1, Scalar* data2, Scalar* ref, Scalar* pval)
520{
Austin Schuh189376f2018-12-20 22:11:15 +1100521 typedef internal::packet_traits<Scalar> PacketTraits;
522 typedef typename PacketTraits::type Packet;
523 const int PacketSize = PacketTraits::size;
524
Brian Silverman72890c22015-09-19 14:37:37 -0400525 internal::conj_if<ConjLhs> cj0;
526 internal::conj_if<ConjRhs> cj1;
527 internal::conj_helper<Scalar,Scalar,ConjLhs,ConjRhs> cj;
528 internal::conj_helper<Packet,Packet,ConjLhs,ConjRhs> pcj;
Austin Schuh189376f2018-12-20 22:11:15 +1100529
Brian Silverman72890c22015-09-19 14:37:37 -0400530 for(int i=0;i<PacketSize;++i)
531 {
532 ref[i] = cj0(data1[i]) * cj1(data2[i]);
533 VERIFY(internal::isApprox(ref[i], cj.pmul(data1[i],data2[i])) && "conj_helper pmul");
534 }
535 internal::pstore(pval,pcj.pmul(internal::pload<Packet>(data1),internal::pload<Packet>(data2)));
536 VERIFY(areApprox(ref, pval, PacketSize) && "conj_helper pmul");
Austin Schuh189376f2018-12-20 22:11:15 +1100537
Brian Silverman72890c22015-09-19 14:37:37 -0400538 for(int i=0;i<PacketSize;++i)
539 {
540 Scalar tmp = ref[i];
541 ref[i] += cj0(data1[i]) * cj1(data2[i]);
542 VERIFY(internal::isApprox(ref[i], cj.pmadd(data1[i],data2[i],tmp)) && "conj_helper pmadd");
543 }
544 internal::pstore(pval,pcj.pmadd(internal::pload<Packet>(data1),internal::pload<Packet>(data2),internal::pload<Packet>(pval)));
545 VERIFY(areApprox(ref, pval, PacketSize) && "conj_helper pmadd");
546}
547
548template<typename Scalar> void packetmath_complex()
549{
Austin Schuh189376f2018-12-20 22:11:15 +1100550 typedef internal::packet_traits<Scalar> PacketTraits;
551 typedef typename PacketTraits::type Packet;
552 const int PacketSize = PacketTraits::size;
Brian Silverman72890c22015-09-19 14:37:37 -0400553
554 const int size = PacketSize*4;
Austin Schuh189376f2018-12-20 22:11:15 +1100555 EIGEN_ALIGN_MAX Scalar data1[PacketSize*4];
556 EIGEN_ALIGN_MAX Scalar data2[PacketSize*4];
557 EIGEN_ALIGN_MAX Scalar ref[PacketSize*4];
558 EIGEN_ALIGN_MAX Scalar pval[PacketSize*4];
Brian Silverman72890c22015-09-19 14:37:37 -0400559
560 for (int i=0; i<size; ++i)
561 {
562 data1[i] = internal::random<Scalar>() * Scalar(1e2);
563 data2[i] = internal::random<Scalar>() * Scalar(1e2);
564 }
Austin Schuh189376f2018-12-20 22:11:15 +1100565
Brian Silverman72890c22015-09-19 14:37:37 -0400566 test_conj_helper<Scalar,false,false> (data1,data2,ref,pval);
567 test_conj_helper<Scalar,false,true> (data1,data2,ref,pval);
568 test_conj_helper<Scalar,true,false> (data1,data2,ref,pval);
569 test_conj_helper<Scalar,true,true> (data1,data2,ref,pval);
Austin Schuh189376f2018-12-20 22:11:15 +1100570
Brian Silverman72890c22015-09-19 14:37:37 -0400571 {
572 for(int i=0;i<PacketSize;++i)
573 ref[i] = Scalar(std::imag(data1[i]),std::real(data1[i]));
574 internal::pstore(pval,internal::pcplxflip(internal::pload<Packet>(data1)));
575 VERIFY(areApprox(ref, pval, PacketSize) && "pcplxflip");
576 }
Austin Schuh189376f2018-12-20 22:11:15 +1100577}
578
579template<typename Scalar> void packetmath_scatter_gather()
580{
581 typedef internal::packet_traits<Scalar> PacketTraits;
582 typedef typename PacketTraits::type Packet;
583 typedef typename NumTraits<Scalar>::Real RealScalar;
584 const int PacketSize = PacketTraits::size;
585 EIGEN_ALIGN_MAX Scalar data1[PacketSize];
586 RealScalar refvalue = 0;
587 for (int i=0; i<PacketSize; ++i) {
588 data1[i] = internal::random<Scalar>()/RealScalar(PacketSize);
589 }
590
591 int stride = internal::random<int>(1,20);
592
593 EIGEN_ALIGN_MAX Scalar buffer[PacketSize*20];
594 memset(buffer, 0, 20*PacketSize*sizeof(Scalar));
595 Packet packet = internal::pload<Packet>(data1);
596 internal::pscatter<Scalar, Packet>(buffer, packet, stride);
597
598 for (int i = 0; i < PacketSize*20; ++i) {
599 if ((i%stride) == 0 && i<stride*PacketSize) {
600 VERIFY(isApproxAbs(buffer[i], data1[i/stride], refvalue) && "pscatter");
601 } else {
602 VERIFY(isApproxAbs(buffer[i], Scalar(0), refvalue) && "pscatter");
603 }
604 }
605
606 for (int i=0; i<PacketSize*7; ++i) {
607 buffer[i] = internal::random<Scalar>()/RealScalar(PacketSize);
608 }
609 packet = internal::pgather<Scalar, Packet>(buffer, 7);
610 internal::pstore(data1, packet);
611 for (int i = 0; i < PacketSize; ++i) {
612 VERIFY(isApproxAbs(data1[i], buffer[i*7], refvalue) && "pgather");
613 }
Brian Silverman72890c22015-09-19 14:37:37 -0400614}
615
616void test_packetmath()
617{
618 for(int i = 0; i < g_repeat; i++) {
619 CALL_SUBTEST_1( packetmath<float>() );
620 CALL_SUBTEST_2( packetmath<double>() );
621 CALL_SUBTEST_3( packetmath<int>() );
Austin Schuh189376f2018-12-20 22:11:15 +1100622 CALL_SUBTEST_4( packetmath<std::complex<float> >() );
623 CALL_SUBTEST_5( packetmath<std::complex<double> >() );
Brian Silverman72890c22015-09-19 14:37:37 -0400624
625 CALL_SUBTEST_1( packetmath_notcomplex<float>() );
626 CALL_SUBTEST_2( packetmath_notcomplex<double>() );
627 CALL_SUBTEST_3( packetmath_notcomplex<int>() );
Austin Schuh189376f2018-12-20 22:11:15 +1100628
Brian Silverman72890c22015-09-19 14:37:37 -0400629 CALL_SUBTEST_1( packetmath_real<float>() );
630 CALL_SUBTEST_2( packetmath_real<double>() );
631
Austin Schuh189376f2018-12-20 22:11:15 +1100632 CALL_SUBTEST_4( packetmath_complex<std::complex<float> >() );
633 CALL_SUBTEST_5( packetmath_complex<std::complex<double> >() );
634
635 CALL_SUBTEST_1( packetmath_scatter_gather<float>() );
636 CALL_SUBTEST_2( packetmath_scatter_gather<double>() );
637 CALL_SUBTEST_3( packetmath_scatter_gather<int>() );
638 CALL_SUBTEST_4( packetmath_scatter_gather<std::complex<float> >() );
639 CALL_SUBTEST_5( packetmath_scatter_gather<std::complex<double> >() );
Brian Silverman72890c22015-09-19 14:37:37 -0400640 }
641}