OpenCV 4.5.3(日本語機械翻訳)
reduce_key_val.hpp
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42
43 #ifndef OPENCV_CUDA_PRED_VAL_REDUCE_DETAIL_HPP
44 #define OPENCV_CUDA_PRED_VAL_REDUCE_DETAIL_HPP
45
46 #include <thrust/tuple.h>
47 #include "../warp.hpp"
48 #include "../warp_shuffle.hpp"
49
51
52 namespace cv { namespace cuda { namespace device
53{
54 namespace reduce_key_val_detail
55 {
56 template <typename T> struct GetType;
57 template <typename T> struct GetType<T*>
58 {
59 typedef T type;
60 };
61 template <typename T> struct GetType<volatile T*>
62 {
63 typedef T type;
64 };
65 template <typename T> struct GetType<T&>
66 {
67 typedef T type;
68 };
69
70 template <unsigned int I, unsigned int N>
71 struct For
72 {
73 template <class PointerTuple, class ReferenceTuple>
74 static __device__ void loadToSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
75 {
76 thrust::get<I>(smem)[tid] = thrust::get<I>(data);
77
78 For<I + 1, N>::loadToSmem(smem, data, tid);
79 }
80 template <class PointerTuple, class ReferenceTuple>
81 static __device__ void loadFromSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
82 {
83 thrust::get<I>(data) = thrust::get<I>(smem)[tid];
84
85 For<I + 1, N>::loadFromSmem(smem, data, tid);
86 }
87
88 template <class ReferenceTuple>
89 static __device__ void copyShfl(const ReferenceTuple& val, unsigned int delta, int width)
90 {
91 thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);
92
93 For<I + 1, N>::copyShfl(val, delta, width);
94 }
95 template <class PointerTuple, class ReferenceTuple>
96 static __device__ void copy(const PointerTuple& svals, const ReferenceTuple& val, unsigned int tid, unsigned int delta)
97 {
98 thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];
99
100 For<I + 1, N>::copy(svals, val, tid, delta);
101 }
102
103 template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
104 static __device__ void mergeShfl(const KeyReferenceTuple& key, const ValReferenceTuple& val, const CmpTuple& cmp, unsigned int delta, int width)
105 {
106 typename GetType<typename thrust::tuple_element<I, KeyReferenceTuple>::type>::type reg = shfl_down(thrust::get<I>(key), delta, width);
107
108 if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
109 {
110 thrust::get<I>(key) = reg;
111 thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);
112 }
113
114 For<I + 1, N>::mergeShfl(key, val, cmp, delta, width);
115 }
116 template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
117 static __device__ void merge(const KeyPointerTuple& skeys, const KeyReferenceTuple& key,
118 const ValPointerTuple& svals, const ValReferenceTuple& val,
119 const CmpTuple& cmp,
120 unsigned int tid, unsigned int delta)
121 {
122 typename GetType<typename thrust::tuple_element<I, KeyPointerTuple>::type>::type reg = thrust::get<I>(skeys)[tid + delta];
123
124 if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
125 {
126 thrust::get<I>(skeys)[tid] = thrust::get<I>(key) = reg;
127 thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];
128 }
129
130 For<I + 1, N>::merge(skeys, key, svals, val, cmp, tid, delta);
131 }
132 };
133 template <unsigned int N>
134 struct For<N, N>
135 {
136 template <class PointerTuple, class ReferenceTuple>
137 static __device__ void loadToSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
138 {
139 }
140 template <class PointerTuple, class ReferenceTuple>
141 static __device__ void loadFromSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
142 {
143 }
144
145 template <class ReferenceTuple>
146 static __device__ void copyShfl(const ReferenceTuple&, unsigned int, int)
147 {
148 }
149 template <class PointerTuple, class ReferenceTuple>
150 static __device__ void copy(const PointerTuple&, const ReferenceTuple&, unsigned int, unsigned int)
151 {
152 }
153
154 template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
155 static __device__ void mergeShfl(const KeyReferenceTuple&, const ValReferenceTuple&, const CmpTuple&, unsigned int, int)
156 {
157 }
158 template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
159 static __device__ void merge(const KeyPointerTuple&, const KeyReferenceTuple&,
160 const ValPointerTuple&, const ValReferenceTuple&,
161 const CmpTuple&,
162 unsigned int, unsigned int)
163 {
164 }
165 };
166
168 // loadToSmem
169
170 template <typename T>
171 __device__ __forceinline__ void loadToSmem(volatile T* smem, T& data, unsigned int tid)
172 {
173 smem[tid] = data;
174 }
175 template <typename T>
176 __device__ __forceinline__ void loadFromSmem(volatile T* smem, T& data, unsigned int tid)
177 {
178 data = smem[tid];
179 }
180 template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
181 typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
182 __device__ __forceinline__ void loadToSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
183 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
184 unsigned int tid)
185 {
186 For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadToSmem(smem, data, tid);
187 }
188 template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
189 typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
190 __device__ __forceinline__ void loadFromSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
191 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
192 unsigned int tid)
193 {
194 For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadFromSmem(smem, data, tid);
195 }
196
198 // copyVals
199
200 template <typename V>
201 __device__ __forceinline__ void copyValsShfl(V& val, unsigned int delta, int width)
202 {
203 val = shfl_down(val, delta, width);
204 }
205 template <typename V>
206 __device__ __forceinline__ void copyVals(volatile V* svals, V& val, unsigned int tid, unsigned int delta)
207 {
208 svals[tid] = val = svals[tid + delta];
209 }
210 template <typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
211 __device__ __forceinline__ void copyValsShfl(const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
212 unsigned int delta,
213 int width)
214 {
215 For<0, thrust::tuple_size<thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9> >::value>::copyShfl(val, delta, width);
216 }
217 template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
218 typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
219 __device__ __forceinline__ void copyVals(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
220 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
221 unsigned int tid, unsigned int delta)
222 {
223 For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::copy(svals, val, tid, delta);
224 }
225
227 // merge
228
229 template <typename K, typename V, class Cmp>
230 __device__ __forceinline__ void mergeShfl(K& key, V& val, const Cmp& cmp, unsigned int delta, int width)
231 {
232 K reg = shfl_down(key, delta, width);
233
234 if (cmp(reg, key))
235 {
236 key = reg;
237 copyValsShfl(val, delta, width);
238 }
239 }
240 template <typename K, typename V, class Cmp>
241 __device__ __forceinline__ void merge(volatile K* skeys, K& key, volatile V* svals, V& val, const Cmp& cmp, unsigned int tid, unsigned int delta)
242 {
243 K reg = skeys[tid + delta];
244
245 if (cmp(reg, key))
246 {
247 skeys[tid] = key = reg;
248 copyVals(svals, val, tid, delta);
249 }
250 }
251 template <typename K,
252 typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
253 class Cmp>
254 __device__ __forceinline__ void mergeShfl(K& key,
255 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
256 const Cmp& cmp,
257 unsigned int delta, int width)
258 {
259 K reg = shfl_down(key, delta, width);
260
261 if (cmp(reg, key))
262 {
263 key = reg;
264 copyValsShfl(val, delta, width);
265 }
266 }
267 template <typename K,
268 typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
269 typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
270 class Cmp>
271 __device__ __forceinline__ void merge(volatile K* skeys, K& key,
272 const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
273 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
274 const Cmp& cmp, unsigned int tid, unsigned int delta)
275 {
276 K reg = skeys[tid + delta];
277
278 if (cmp(reg, key))
279 {
280 skeys[tid] = key = reg;
281 copyVals(svals, val, tid, delta);
282 }
283 }
284 template <typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
285 typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
286 class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
287 __device__ __forceinline__ void mergeShfl(const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
288 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
289 const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
290 unsigned int delta, int width)
291 {
292 For<0, thrust::tuple_size<thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9> >::value>::mergeShfl(key, val, cmp, delta, width);
293 }
294 template <typename KP0, typename KP1, typename KP2, typename KP3, typename KP4, typename KP5, typename KP6, typename KP7, typename KP8, typename KP9,
295 typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
296 typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
297 typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
298 class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
299 __device__ __forceinline__ void merge(const thrust::tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>& skeys,
300 const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
301 const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
302 const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
303 const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
304 unsigned int tid, unsigned int delta)
305 {
306 For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::merge(skeys, key, svals, val, cmp, tid, delta);
307 }
308
310 // Generic
311
312 template <unsigned int N> struct Generic
313 {
314 template <class KP, class KR, class VP, class VR, class Cmp>
315 static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
316 {
317 loadToSmem(skeys, key, tid);
318 loadValsToSmem(svals, val, tid);
319 if (N >= 32)
320 __syncthreads();
321
322 if (N >= 2048)
323 {
324 if (tid < 1024)
325 merge(skeys, key, svals, val, cmp, tid, 1024);
326
327 __syncthreads();
328 }
329 if (N >= 1024)
330 {
331 if (tid < 512)
332 merge(skeys, key, svals, val, cmp, tid, 512);
333
334 __syncthreads();
335 }
336 if (N >= 512)
337 {
338 if (tid < 256)
339 merge(skeys, key, svals, val, cmp, tid, 256);
340
341 __syncthreads();
342 }
343 if (N >= 256)
344 {
345 if (tid < 128)
346 merge(skeys, key, svals, val, cmp, tid, 128);
347
348 __syncthreads();
349 }
350 if (N >= 128)
351 {
352 if (tid < 64)
353 merge(skeys, key, svals, val, cmp, tid, 64);
354
355 __syncthreads();
356 }
357 if (N >= 64)
358 {
359 if (tid < 32)
360 merge(skeys, key, svals, val, cmp, tid, 32);
361 }
362
363 if (tid < 16)
364 {
365 merge(skeys, key, svals, val, cmp, tid, 16);
366 merge(skeys, key, svals, val, cmp, tid, 8);
367 merge(skeys, key, svals, val, cmp, tid, 4);
368 merge(skeys, key, svals, val, cmp, tid, 2);
369 merge(skeys, key, svals, val, cmp, tid, 1);
370 }
371 }
372 };
373
374 template <unsigned int I, class KP, class KR, class VP, class VR, class Cmp>
375 struct Unroll
376 {
377 static __device__ void loopShfl(KR key, VR val, Cmp cmp, unsigned int N)
378 {
379 mergeShfl(key, val, cmp, I, N);
380 Unroll<I / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
381 }
382 static __device__ void loop(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
383 {
384 merge(skeys, key, svals, val, cmp, tid, I);
385 Unroll<I / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
386 }
387 };
388 template <class KP, class KR, class VP, class VR, class Cmp>
389 struct Unroll<0, KP, KR, VP, VR, Cmp>
390 {
391 static __device__ void loopShfl(KR, VR, Cmp, unsigned int)
392 {
393 }
394 static __device__ void loop(KP, KR, VP, VR, unsigned int, Cmp)
395 {
396 }
397 };
398
399 template <unsigned int N> struct WarpOptimized
400 {
401 template <class KP, class KR, class VP, class VR, class Cmp>
402 static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
403 {
404 #if 0 // __CUDA_ARCH__ >= 300
405 CV_UNUSED(skeys);
406 CV_UNUSED(svals);
407 CV_UNUSED(tid);
408
409 Unroll<N / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
410 #else
411 loadToSmem(skeys, key, tid);
412 loadToSmem(svals, val, tid);
413
414 if (tid < N / 2)
415 Unroll<N / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
416 #endif
417 }
418 };
419
420 template <unsigned int N> struct GenericOptimized32
421 {
422 enum { M = N / 32 };
423
424 template <class KP, class KR, class VP, class VR, class Cmp>
425 static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
426 {
427 const unsigned int laneId = Warp::laneId();
428
429 #if 0 // __CUDA_ARCH__ >= 300
430 Unroll<16, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, warpSize);
431
432 if (laneId == 0)
433 {
434 loadToSmem(skeys, key, tid / 32);
435 loadToSmem(svals, val, tid / 32);
436 }
437 #else
438 loadToSmem(skeys, key, tid);
439 loadToSmem(svals, val, tid);
440
441 if (laneId < 16)
442 Unroll<16, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
443
444 __syncthreads();
445
446 if (laneId == 0)
447 {
448 loadToSmem(skeys, key, tid / 32);
449 loadToSmem(svals, val, tid / 32);
450 }
451 #endif
452
453 __syncthreads();
454
455 loadFromSmem(skeys, key, tid);
456
457 if (tid < 32)
458 {
459 #if 0 // __CUDA_ARCH__ >= 300
460 loadFromSmem(svals, val, tid);
461
462 Unroll<M / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, M);
463 #else
464 Unroll<M / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
465 #endif
466 }
467 }
468 };
469
470 template <bool val, class T1, class T2> struct StaticIf;
471 template <class T1, class T2> struct StaticIf<true, T1, T2>
472 {
473 typedef T1 type;
474 };
475 template <class T1, class T2> struct StaticIf<false, T1, T2>
476 {
477 typedef T2 type;
478 };
479
480 template <unsigned int N> struct IsPowerOf2
481 {
482 enum { value = ((N != 0) && !(N & (N - 1))) };
483 };
484
485 template <unsigned int N> struct Dispatcher
486 {
487 typedef typename StaticIf<
488 (N <= 32) && IsPowerOf2<N>::value,
489 WarpOptimized<N>,
490 typename StaticIf<
491 (N <= 1024) && IsPowerOf2<N>::value,
492 GenericOptimized32<N>,
493 Generic<N>
494 >::type
495 >::type reductor;
496 };
497 }
498}}}
499
501
502 #endif // OPENCV_CUDA_PRED_VAL_REDUCE_DETAIL_HPP
cv::reduce
CV_EXPORTS_W void reduce(InputArray src, OutputArray dst, int dim, int rtype, int dtype=-1)
Reduces a matrix to a vector.
cv::merge
CV_EXPORTS void merge(const Mat *mv, size_t count, OutputArray dst)
Creates one multi-channel array out of several single-channel ones.
cv
"black box" representation of the file storage associated with a file on disk.
Definition: aruco.hpp:75
構築: doxygen 1.9.2