1 | // basisu_opencl.cpp |
2 | // Copyright (C) 2019-2021 Binomial LLC. All Rights Reserved. |
3 | // |
4 | // Licensed under the Apache License, Version 2.0 (the "License"); |
5 | // you may not use this file except in compliance with the License. |
6 | // You may obtain a copy of the License at |
7 | // |
8 | // http://www.apache.org/licenses/LICENSE-2.0 |
9 | // |
10 | // Unless required by applicable law or agreed to in writing, software |
11 | // distributed under the License is distributed on an "AS IS" BASIS, |
12 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
13 | // See the License for the specific language governing permissions and |
14 | // limitations under the License. |
15 | #include "basisu_opencl.h" |
16 | |
17 | // If 1, the kernel source code will come from encoders/ocl_kernels.h. Otherwise, it will be read from the "ocl_kernels.cl" file in the current directory (for development). |
18 | #define (1) |
19 | #define BASISU_OCL_KERNELS_FILENAME "ocl_kernels.cl" |
20 | |
21 | #if BASISU_SUPPORT_OPENCL |
22 | |
23 | #include "basisu_enc.h" |
24 | |
25 | // We only use OpenCL v1.2 or less. |
26 | #define CL_TARGET_OPENCL_VERSION 120 |
27 | |
28 | #ifdef __APPLE__ |
29 | #include <OpenCL/opencl.h> |
30 | #else |
31 | #include <CL/cl.h> |
32 | #endif |
33 | |
34 | #define BASISU_OPENCL_ASSERT_ON_ANY_ERRORS (1) |
35 | |
36 | namespace basisu |
37 | { |
38 | #if BASISU_USE_OCL_KERNELS_HEADER |
39 | #include "basisu_ocl_kernels.h" |
40 | #endif |
41 | |
42 | static void ocl_error_printf(const char* pFmt, ...) |
43 | { |
44 | va_list args; |
45 | va_start(args, pFmt); |
46 | error_vprintf(pFmt, args); |
47 | va_end(args); |
48 | |
49 | #if BASISU_OPENCL_ASSERT_ON_ANY_ERRORS |
50 | assert(0); |
51 | #endif |
52 | } |
53 | |
54 | class ocl |
55 | { |
56 | public: |
57 | ocl() |
58 | { |
59 | memset(&m_dev_fp_config, 0, sizeof(m_dev_fp_config)); |
60 | |
61 | m_ocl_mutex.lock(); |
62 | m_ocl_mutex.unlock(); |
63 | } |
64 | |
65 | ~ocl() |
66 | { |
67 | } |
68 | |
69 | bool is_initialized() const { return m_device_id != nullptr; } |
70 | |
71 | cl_device_id get_device_id() const { return m_device_id; } |
72 | cl_context get_context() const { return m_context; } |
73 | cl_command_queue get_command_queue() { return m_command_queue; } |
74 | cl_program get_program() const { return m_program; } |
75 | |
76 | bool init(bool force_serialization) |
77 | { |
78 | deinit(); |
79 | |
80 | interval_timer tm; |
81 | tm.start(); |
82 | |
83 | cl_uint num_platforms = 0; |
84 | cl_int ret = clGetPlatformIDs(0, NULL, &num_platforms); |
85 | if (ret != CL_SUCCESS) |
86 | { |
87 | ocl_error_printf("ocl::init: clGetPlatformIDs() failed with %i\n" , ret); |
88 | return false; |
89 | } |
90 | |
91 | if ((!num_platforms) || (num_platforms > INT_MAX)) |
92 | { |
93 | ocl_error_printf("ocl::init: clGetPlatformIDs() returned an invalid number of num_platforms\n" ); |
94 | return false; |
95 | } |
96 | |
97 | std::vector<cl_platform_id> platforms(num_platforms); |
98 | |
99 | ret = clGetPlatformIDs(num_platforms, platforms.data(), NULL); |
100 | if (ret != CL_SUCCESS) |
101 | { |
102 | ocl_error_printf("ocl::init: clGetPlatformIDs() failed\n" ); |
103 | return false; |
104 | } |
105 | |
106 | cl_uint num_devices = 0; |
107 | ret = clGetDeviceIDs(platforms[0], CL_DEVICE_TYPE_GPU, 1, &m_device_id, &num_devices); |
108 | |
109 | if (ret == CL_DEVICE_NOT_FOUND) |
110 | { |
111 | ocl_error_printf("ocl::init: Couldn't get any GPU device ID's, trying CL_DEVICE_TYPE_CPU\n" ); |
112 | |
113 | ret = clGetDeviceIDs(platforms[0], CL_DEVICE_TYPE_CPU, 1, &m_device_id, &num_devices); |
114 | } |
115 | |
116 | if (ret != CL_SUCCESS) |
117 | { |
118 | ocl_error_printf("ocl::init: Unable to get any device ID's\n" ); |
119 | |
120 | m_device_id = nullptr; |
121 | return false; |
122 | } |
123 | |
124 | ret = clGetDeviceInfo(m_device_id, |
125 | CL_DEVICE_SINGLE_FP_CONFIG, |
126 | sizeof(m_dev_fp_config), |
127 | &m_dev_fp_config, |
128 | nullptr); |
129 | if (ret != CL_SUCCESS) |
130 | { |
131 | ocl_error_printf("ocl::init: clGetDeviceInfo() failed\n" ); |
132 | return false; |
133 | } |
134 | |
135 | char plat_vers[256]; |
136 | size_t rv = 0; |
137 | ret = clGetPlatformInfo(platforms[0], CL_PLATFORM_VERSION, sizeof(plat_vers), plat_vers, &rv); |
138 | if (ret == CL_SUCCESS) |
139 | printf("OpenCL platform version: \"%s\"\n" , plat_vers); |
140 | |
141 | // Serialize CL calls with the AMD driver to avoid lockups when multiple command queues per thread are used. This sucks, but what can we do? |
142 | m_use_mutex = (strstr(plat_vers, "AMD" ) != nullptr) || force_serialization; |
143 | |
144 | printf("Serializing OpenCL calls across threads: %u\n" , (uint32_t)m_use_mutex); |
145 | |
146 | m_context = clCreateContext(nullptr, 1, &m_device_id, nullptr, nullptr, &ret); |
147 | if (ret != CL_SUCCESS) |
148 | { |
149 | ocl_error_printf("ocl::init: clCreateContext() failed\n" ); |
150 | |
151 | m_device_id = nullptr; |
152 | m_context = nullptr; |
153 | return false; |
154 | } |
155 | |
156 | m_command_queue = clCreateCommandQueue(m_context, m_device_id, 0, &ret); |
157 | if (ret != CL_SUCCESS) |
158 | { |
159 | ocl_error_printf("ocl::init: clCreateCommandQueue() failed\n" ); |
160 | |
161 | deinit(); |
162 | return false; |
163 | } |
164 | |
165 | printf("OpenCL init time: %3.3f secs\n" , tm.get_elapsed_secs()); |
166 | |
167 | return true; |
168 | } |
169 | |
170 | bool deinit() |
171 | { |
172 | if (m_program) |
173 | { |
174 | clReleaseProgram(m_program); |
175 | m_program = nullptr; |
176 | } |
177 | |
178 | if (m_command_queue) |
179 | { |
180 | clReleaseCommandQueue(m_command_queue); |
181 | m_command_queue = nullptr; |
182 | } |
183 | |
184 | if (m_context) |
185 | { |
186 | clReleaseContext(m_context); |
187 | m_context = nullptr; |
188 | } |
189 | |
190 | m_device_id = nullptr; |
191 | |
192 | return true; |
193 | } |
194 | |
195 | cl_command_queue create_command_queue() |
196 | { |
197 | cl_serializer serializer(this); |
198 | |
199 | cl_int ret = 0; |
200 | cl_command_queue p = clCreateCommandQueue(m_context, m_device_id, 0, &ret); |
201 | if (ret != CL_SUCCESS) |
202 | return nullptr; |
203 | |
204 | return p; |
205 | } |
206 | |
207 | void destroy_command_queue(cl_command_queue p) |
208 | { |
209 | if (p) |
210 | { |
211 | cl_serializer serializer(this); |
212 | |
213 | clReleaseCommandQueue(p); |
214 | } |
215 | } |
216 | |
217 | bool init_program(const char* pSrc, size_t src_size) |
218 | { |
219 | cl_int ret; |
220 | |
221 | if (m_program != nullptr) |
222 | { |
223 | clReleaseProgram(m_program); |
224 | m_program = nullptr; |
225 | } |
226 | |
227 | m_program = clCreateProgramWithSource(m_context, 1, (const char**)&pSrc, (const size_t*)&src_size, &ret); |
228 | if (ret != CL_SUCCESS) |
229 | { |
230 | ocl_error_printf("ocl::init_program: clCreateProgramWithSource() failed!\n" ); |
231 | return false; |
232 | } |
233 | |
234 | std::string options; |
235 | if (m_dev_fp_config & CL_FP_CORRECTLY_ROUNDED_DIVIDE_SQRT) |
236 | { |
237 | options += "-cl-fp32-correctly-rounded-divide-sqrt" ; |
238 | } |
239 | |
240 | options += " -cl-std=CL1.2" ; |
241 | //options += " -cl-opt-disable"; |
242 | //options += " -cl-mad-enable"; |
243 | //options += " -cl-fast-relaxed-math"; |
244 | |
245 | ret = clBuildProgram(m_program, 1, &m_device_id, |
246 | options.size() ? options.c_str() : nullptr, // options |
247 | nullptr, // notify |
248 | nullptr); // user_data |
249 | |
250 | if (ret != CL_SUCCESS) |
251 | { |
252 | const cl_int build_program_result = ret; |
253 | |
254 | size_t ret_val_size; |
255 | ret = clGetProgramBuildInfo(m_program, m_device_id, CL_PROGRAM_BUILD_LOG, 0, NULL, &ret_val_size); |
256 | if (ret != CL_SUCCESS) |
257 | { |
258 | ocl_error_printf("ocl::init_program: clGetProgramBuildInfo() failed!\n" ); |
259 | return false; |
260 | } |
261 | |
262 | std::vector<char> build_log(ret_val_size + 1); |
263 | |
264 | ret = clGetProgramBuildInfo(m_program, m_device_id, CL_PROGRAM_BUILD_LOG, ret_val_size, build_log.data(), NULL); |
265 | |
266 | ocl_error_printf("\nclBuildProgram() failed with error %i:\n%s" , build_program_result, build_log.data()); |
267 | |
268 | return false; |
269 | } |
270 | |
271 | return true; |
272 | } |
273 | |
274 | cl_kernel create_kernel(const char* pName) |
275 | { |
276 | if (!m_program) |
277 | return nullptr; |
278 | |
279 | cl_serializer serializer(this); |
280 | |
281 | cl_int ret; |
282 | cl_kernel kernel = clCreateKernel(m_program, pName, &ret); |
283 | if (ret != CL_SUCCESS) |
284 | { |
285 | ocl_error_printf("ocl::create_kernel: clCreateKernel() failed!\n" ); |
286 | return nullptr; |
287 | } |
288 | |
289 | return kernel; |
290 | } |
291 | |
292 | bool destroy_kernel(cl_kernel k) |
293 | { |
294 | if (k) |
295 | { |
296 | cl_serializer serializer(this); |
297 | |
298 | cl_int ret = clReleaseKernel(k); |
299 | if (ret != CL_SUCCESS) |
300 | { |
301 | ocl_error_printf("ocl::destroy_kernel: clReleaseKernel() failed!\n" ); |
302 | return false; |
303 | } |
304 | } |
305 | return true; |
306 | } |
307 | |
308 | cl_mem alloc_read_buffer(size_t size) |
309 | { |
310 | cl_serializer serializer(this); |
311 | |
312 | cl_int ret; |
313 | cl_mem obj = clCreateBuffer(m_context, CL_MEM_READ_ONLY, size, NULL, &ret); |
314 | if (ret != CL_SUCCESS) |
315 | { |
316 | ocl_error_printf("ocl::alloc_read_buffer: clCreateBuffer() failed!\n" ); |
317 | return nullptr; |
318 | } |
319 | |
320 | return obj; |
321 | } |
322 | |
323 | cl_mem alloc_and_init_read_buffer(cl_command_queue command_queue, const void *pInit, size_t size) |
324 | { |
325 | cl_serializer serializer(this); |
326 | |
327 | cl_int ret; |
328 | cl_mem obj = clCreateBuffer(m_context, CL_MEM_READ_ONLY, size, NULL, &ret); |
329 | if (ret != CL_SUCCESS) |
330 | { |
331 | ocl_error_printf("ocl::alloc_and_init_read_buffer: clCreateBuffer() failed!\n" ); |
332 | return nullptr; |
333 | } |
334 | |
335 | #if 0 |
336 | if (!write_to_buffer(command_queue, obj, pInit, size)) |
337 | { |
338 | destroy_buffer(obj); |
339 | return nullptr; |
340 | } |
341 | #else |
342 | ret = clEnqueueWriteBuffer(command_queue, obj, CL_TRUE, 0, size, pInit, 0, NULL, NULL); |
343 | if (ret != CL_SUCCESS) |
344 | { |
345 | ocl_error_printf("ocl::alloc_and_init_read_buffer: clEnqueueWriteBuffer() failed!\n" ); |
346 | return nullptr; |
347 | } |
348 | #endif |
349 | |
350 | return obj; |
351 | } |
352 | |
353 | cl_mem alloc_write_buffer(size_t size) |
354 | { |
355 | cl_serializer serializer(this); |
356 | |
357 | cl_int ret; |
358 | cl_mem obj = clCreateBuffer(m_context, CL_MEM_WRITE_ONLY, size, NULL, &ret); |
359 | if (ret != CL_SUCCESS) |
360 | { |
361 | ocl_error_printf("ocl::alloc_write_buffer: clCreateBuffer() failed!\n" ); |
362 | return nullptr; |
363 | } |
364 | |
365 | return obj; |
366 | } |
367 | |
368 | bool destroy_buffer(cl_mem buf) |
369 | { |
370 | if (buf) |
371 | { |
372 | cl_serializer serializer(this); |
373 | |
374 | cl_int ret = clReleaseMemObject(buf); |
375 | if (ret != CL_SUCCESS) |
376 | { |
377 | ocl_error_printf("ocl::destroy_buffer: clReleaseMemObject() failed!\n" ); |
378 | return false; |
379 | } |
380 | } |
381 | |
382 | return true; |
383 | } |
384 | |
385 | bool write_to_buffer(cl_command_queue command_queue, cl_mem clmem, const void* d, const size_t m) |
386 | { |
387 | cl_serializer serializer(this); |
388 | |
389 | cl_int ret = clEnqueueWriteBuffer(command_queue, clmem, CL_TRUE, 0, m, d, 0, NULL, NULL); |
390 | if (ret != CL_SUCCESS) |
391 | { |
392 | ocl_error_printf("ocl::write_to_buffer: clEnqueueWriteBuffer() failed!\n" ); |
393 | return false; |
394 | } |
395 | |
396 | return true; |
397 | } |
398 | |
399 | bool read_from_buffer(cl_command_queue command_queue, const cl_mem clmem, void* d, size_t m) |
400 | { |
401 | cl_serializer serializer(this); |
402 | |
403 | cl_int ret = clEnqueueReadBuffer(command_queue, clmem, CL_TRUE, 0, m, d, 0, NULL, NULL); |
404 | if (ret != CL_SUCCESS) |
405 | { |
406 | ocl_error_printf("ocl::read_from_buffer: clEnqueueReadBuffer() failed!\n" ); |
407 | return false; |
408 | } |
409 | |
410 | return true; |
411 | } |
412 | |
413 | cl_mem create_read_image_u8(uint32_t width, uint32_t height, const void* pPixels, uint32_t bytes_per_pixel, bool normalized) |
414 | { |
415 | cl_image_format fmt = get_image_format(bytes_per_pixel, normalized); |
416 | |
417 | cl_image_desc desc; |
418 | memset(&desc, 0, sizeof(desc)); |
419 | desc.image_type = CL_MEM_OBJECT_IMAGE2D; |
420 | desc.image_width = width; |
421 | desc.image_height = height; |
422 | desc.image_row_pitch = width * bytes_per_pixel; |
423 | |
424 | cl_serializer serializer(this); |
425 | |
426 | cl_int ret; |
427 | cl_mem img = clCreateImage(m_context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, &fmt, &desc, (void*)pPixels, &ret); |
428 | if (ret != CL_SUCCESS) |
429 | { |
430 | ocl_error_printf("ocl::create_read_image_u8: clCreateImage() failed!\n" ); |
431 | return nullptr; |
432 | } |
433 | |
434 | return img; |
435 | } |
436 | |
437 | cl_mem create_write_image_u8(uint32_t width, uint32_t height, uint32_t bytes_per_pixel, bool normalized) |
438 | { |
439 | cl_image_format fmt = get_image_format(bytes_per_pixel, normalized); |
440 | |
441 | cl_image_desc desc; |
442 | memset(&desc, 0, sizeof(desc)); |
443 | desc.image_type = CL_MEM_OBJECT_IMAGE2D; |
444 | desc.image_width = width; |
445 | desc.image_height = height; |
446 | |
447 | cl_serializer serializer(this); |
448 | |
449 | cl_int ret; |
450 | cl_mem img = clCreateImage(m_context, CL_MEM_WRITE_ONLY, &fmt, &desc, nullptr, &ret); |
451 | if (ret != CL_SUCCESS) |
452 | { |
453 | ocl_error_printf("ocl::create_write_image_u8: clCreateImage() failed!\n" ); |
454 | return nullptr; |
455 | } |
456 | |
457 | return img; |
458 | } |
459 | |
460 | bool read_from_image(cl_command_queue command_queue, cl_mem img, void* pPixels, uint32_t ofs_x, uint32_t ofs_y, uint32_t width, uint32_t height) |
461 | { |
462 | cl_serializer serializer(this); |
463 | |
464 | size_t origin[3] = { ofs_x, ofs_y, 0 }, region[3] = { width, height, 1 }; |
465 | |
466 | cl_int err = clEnqueueReadImage(command_queue, img, CL_TRUE, origin, region, 0, 0, pPixels, 0, NULL, NULL); |
467 | if (err != CL_SUCCESS) |
468 | { |
469 | ocl_error_printf("ocl::read_from_image: clEnqueueReadImage() failed!\n" ); |
470 | return false; |
471 | } |
472 | |
473 | return true; |
474 | } |
475 | |
476 | bool run_1D(cl_command_queue command_queue, const cl_kernel kernel, size_t num_items) |
477 | { |
478 | cl_serializer serializer(this); |
479 | |
480 | cl_int ret = clEnqueueNDRangeKernel(command_queue, kernel, |
481 | 1, // work_dim |
482 | nullptr, // global_work_offset |
483 | &num_items, // global_work_size |
484 | nullptr, // local_work_size |
485 | 0, // num_events_in_wait_list |
486 | nullptr, // event_wait_list |
487 | nullptr // event |
488 | ); |
489 | |
490 | if (ret != CL_SUCCESS) |
491 | { |
492 | ocl_error_printf("ocl::run_1D: clEnqueueNDRangeKernel() failed!\n" ); |
493 | return false; |
494 | } |
495 | |
496 | return true; |
497 | } |
498 | |
499 | bool run_2D(cl_command_queue command_queue, const cl_kernel kernel, size_t width, size_t height) |
500 | { |
501 | cl_serializer serializer(this); |
502 | |
503 | size_t num_global_items[2] = { width, height }; |
504 | //size_t num_local_items[2] = { 1, 1 }; |
505 | |
506 | cl_int ret = clEnqueueNDRangeKernel(command_queue, kernel, |
507 | 2, // work_dim |
508 | nullptr, // global_work_offset |
509 | num_global_items, // global_work_size |
510 | nullptr, // local_work_size |
511 | 0, // num_events_in_wait_list |
512 | nullptr, // event_wait_list |
513 | nullptr // event |
514 | ); |
515 | |
516 | if (ret != CL_SUCCESS) |
517 | { |
518 | ocl_error_printf("ocl::run_2D: clEnqueueNDRangeKernel() failed!\n" ); |
519 | return false; |
520 | } |
521 | |
522 | return true; |
523 | } |
524 | |
525 | bool run_2D(cl_command_queue command_queue, const cl_kernel kernel, size_t ofs_x, size_t ofs_y, size_t width, size_t height) |
526 | { |
527 | cl_serializer serializer(this); |
528 | |
529 | size_t global_ofs[2] = { ofs_x, ofs_y }; |
530 | size_t num_global_items[2] = { width, height }; |
531 | //size_t num_local_items[2] = { 1, 1 }; |
532 | |
533 | cl_int ret = clEnqueueNDRangeKernel(command_queue, kernel, |
534 | 2, // work_dim |
535 | global_ofs, // global_work_offset |
536 | num_global_items, // global_work_size |
537 | nullptr, // local_work_size |
538 | 0, // num_events_in_wait_list |
539 | nullptr, // event_wait_list |
540 | nullptr // event |
541 | ); |
542 | |
543 | if (ret != CL_SUCCESS) |
544 | { |
545 | ocl_error_printf("ocl::run_2D: clEnqueueNDRangeKernel() failed!\n" ); |
546 | return false; |
547 | } |
548 | |
549 | return true; |
550 | } |
551 | |
552 | void flush(cl_command_queue command_queue) |
553 | { |
554 | cl_serializer serializer(this); |
555 | |
556 | clFlush(command_queue); |
557 | clFinish(command_queue); |
558 | } |
559 | |
560 | template<typename T> |
561 | bool set_kernel_arg(cl_kernel kernel, uint32_t index, const T& obj) |
562 | { |
563 | cl_serializer serializer(this); |
564 | |
565 | cl_int ret = clSetKernelArg(kernel, index, sizeof(T), (void*)&obj); |
566 | if (ret != CL_SUCCESS) |
567 | { |
568 | ocl_error_printf("ocl::set_kernel_arg: clSetKernelArg() failed!\n" ); |
569 | return false; |
570 | } |
571 | return true; |
572 | } |
573 | |
574 | template<typename T> |
575 | bool set_kernel_args(cl_kernel kernel, const T& obj1) |
576 | { |
577 | cl_serializer serializer(this); |
578 | |
579 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); |
580 | if (ret != CL_SUCCESS) |
581 | { |
582 | ocl_error_printf("ocl::set_kernel_arg: clSetKernelArg() failed!\n" ); |
583 | return false; |
584 | } |
585 | return true; |
586 | } |
587 | |
588 | #define BASISU_CHECK_ERR if (ret != CL_SUCCESS) { ocl_error_printf("ocl::set_kernel_args: clSetKernelArg() failed!\n"); return false; } |
589 | |
590 | template<typename T, typename U> |
591 | bool set_kernel_args(cl_kernel kernel, const T& obj1, const U& obj2) |
592 | { |
593 | cl_serializer serializer(this); |
594 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); BASISU_CHECK_ERR |
595 | ret = clSetKernelArg(kernel, 1, sizeof(U), (void*)&obj2); BASISU_CHECK_ERR |
596 | return true; |
597 | } |
598 | |
599 | template<typename T, typename U, typename V> |
600 | bool set_kernel_args(cl_kernel kernel, const T& obj1, const U& obj2, const V& obj3) |
601 | { |
602 | cl_serializer serializer(this); |
603 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); BASISU_CHECK_ERR |
604 | ret = clSetKernelArg(kernel, 1, sizeof(U), (void*)&obj2); BASISU_CHECK_ERR |
605 | ret = clSetKernelArg(kernel, 2, sizeof(V), (void*)&obj3); BASISU_CHECK_ERR |
606 | return true; |
607 | } |
608 | |
609 | template<typename T, typename U, typename V, typename W> |
610 | bool set_kernel_args(cl_kernel kernel, const T& obj1, const U& obj2, const V& obj3, const W& obj4) |
611 | { |
612 | cl_serializer serializer(this); |
613 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); BASISU_CHECK_ERR |
614 | ret = clSetKernelArg(kernel, 1, sizeof(U), (void*)&obj2); BASISU_CHECK_ERR |
615 | ret = clSetKernelArg(kernel, 2, sizeof(V), (void*)&obj3); BASISU_CHECK_ERR |
616 | ret = clSetKernelArg(kernel, 3, sizeof(W), (void*)&obj4); BASISU_CHECK_ERR |
617 | return true; |
618 | } |
619 | |
620 | template<typename T, typename U, typename V, typename W, typename X> |
621 | bool set_kernel_args(cl_kernel kernel, const T& obj1, const U& obj2, const V& obj3, const W& obj4, const X& obj5) |
622 | { |
623 | cl_serializer serializer(this); |
624 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); BASISU_CHECK_ERR |
625 | ret = clSetKernelArg(kernel, 1, sizeof(U), (void*)&obj2); BASISU_CHECK_ERR |
626 | ret = clSetKernelArg(kernel, 2, sizeof(V), (void*)&obj3); BASISU_CHECK_ERR |
627 | ret = clSetKernelArg(kernel, 3, sizeof(W), (void*)&obj4); BASISU_CHECK_ERR |
628 | ret = clSetKernelArg(kernel, 4, sizeof(X), (void*)&obj5); BASISU_CHECK_ERR |
629 | return true; |
630 | } |
631 | |
632 | template<typename T, typename U, typename V, typename W, typename X, typename Y> |
633 | bool set_kernel_args(cl_kernel kernel, const T& obj1, const U& obj2, const V& obj3, const W& obj4, const X& obj5, const Y& obj6) |
634 | { |
635 | cl_serializer serializer(this); |
636 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); BASISU_CHECK_ERR |
637 | ret = clSetKernelArg(kernel, 1, sizeof(U), (void*)&obj2); BASISU_CHECK_ERR |
638 | ret = clSetKernelArg(kernel, 2, sizeof(V), (void*)&obj3); BASISU_CHECK_ERR |
639 | ret = clSetKernelArg(kernel, 3, sizeof(W), (void*)&obj4); BASISU_CHECK_ERR |
640 | ret = clSetKernelArg(kernel, 4, sizeof(X), (void*)&obj5); BASISU_CHECK_ERR |
641 | ret = clSetKernelArg(kernel, 5, sizeof(Y), (void*)&obj6); BASISU_CHECK_ERR |
642 | return true; |
643 | } |
644 | |
645 | template<typename T, typename U, typename V, typename W, typename X, typename Y, typename Z> |
646 | bool set_kernel_args(cl_kernel kernel, const T& obj1, const U& obj2, const V& obj3, const W& obj4, const X& obj5, const Y& obj6, const Z& obj7) |
647 | { |
648 | cl_serializer serializer(this); |
649 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); BASISU_CHECK_ERR |
650 | ret = clSetKernelArg(kernel, 1, sizeof(U), (void*)&obj2); BASISU_CHECK_ERR |
651 | ret = clSetKernelArg(kernel, 2, sizeof(V), (void*)&obj3); BASISU_CHECK_ERR |
652 | ret = clSetKernelArg(kernel, 3, sizeof(W), (void*)&obj4); BASISU_CHECK_ERR |
653 | ret = clSetKernelArg(kernel, 4, sizeof(X), (void*)&obj5); BASISU_CHECK_ERR |
654 | ret = clSetKernelArg(kernel, 5, sizeof(Y), (void*)&obj6); BASISU_CHECK_ERR |
655 | ret = clSetKernelArg(kernel, 6, sizeof(Z), (void*)&obj7); BASISU_CHECK_ERR |
656 | return true; |
657 | } |
658 | |
659 | template<typename T, typename U, typename V, typename W, typename X, typename Y, typename Z, typename A> |
660 | bool set_kernel_args(cl_kernel kernel, const T& obj1, const U& obj2, const V& obj3, const W& obj4, const X& obj5, const Y& obj6, const Z& obj7, const A& obj8) |
661 | { |
662 | cl_serializer serializer(this); |
663 | cl_int ret = clSetKernelArg(kernel, 0, sizeof(T), (void*)&obj1); BASISU_CHECK_ERR |
664 | ret = clSetKernelArg(kernel, 1, sizeof(U), (void*)&obj2); BASISU_CHECK_ERR |
665 | ret = clSetKernelArg(kernel, 2, sizeof(V), (void*)&obj3); BASISU_CHECK_ERR |
666 | ret = clSetKernelArg(kernel, 3, sizeof(W), (void*)&obj4); BASISU_CHECK_ERR |
667 | ret = clSetKernelArg(kernel, 4, sizeof(X), (void*)&obj5); BASISU_CHECK_ERR |
668 | ret = clSetKernelArg(kernel, 5, sizeof(Y), (void*)&obj6); BASISU_CHECK_ERR |
669 | ret = clSetKernelArg(kernel, 6, sizeof(Z), (void*)&obj7); BASISU_CHECK_ERR |
670 | ret = clSetKernelArg(kernel, 7, sizeof(A), (void*)&obj8); BASISU_CHECK_ERR |
671 | return true; |
672 | } |
673 | #undef BASISU_CHECK_ERR |
674 | |
675 | private: |
676 | cl_device_id m_device_id = nullptr; |
677 | cl_context m_context = nullptr; |
678 | cl_command_queue m_command_queue = nullptr; |
679 | cl_program m_program = nullptr; |
680 | cl_device_fp_config m_dev_fp_config; |
681 | |
682 | bool m_use_mutex = false; |
683 | std::mutex m_ocl_mutex; |
684 | |
685 | // This helper object is used to optionally serialize all calls to the CL driver after initialization. |
686 | // Currently this is only used to work around race conditions in the Windows AMD driver. |
687 | struct cl_serializer |
688 | { |
689 | inline cl_serializer(const cl_serializer&); |
690 | cl_serializer& operator= (const cl_serializer&); |
691 | |
692 | inline cl_serializer(ocl *p) : m_p(p) |
693 | { |
694 | if (m_p->m_use_mutex) |
695 | m_p->m_ocl_mutex.lock(); |
696 | } |
697 | |
698 | inline ~cl_serializer() |
699 | { |
700 | if (m_p->m_use_mutex) |
701 | m_p->m_ocl_mutex.unlock(); |
702 | } |
703 | |
704 | private: |
705 | ocl* m_p; |
706 | }; |
707 | |
708 | cl_image_format get_image_format(uint32_t bytes_per_pixel, bool normalized) |
709 | { |
710 | cl_image_format fmt; |
711 | switch (bytes_per_pixel) |
712 | { |
713 | case 1: fmt.image_channel_order = CL_LUMINANCE; break; |
714 | case 2: fmt.image_channel_order = CL_RG; break; |
715 | case 3: fmt.image_channel_order = CL_RGB; break; |
716 | case 4: fmt.image_channel_order = CL_RGBA; break; |
717 | default: assert(0); fmt.image_channel_order = CL_LUMINANCE; break; |
718 | } |
719 | |
720 | fmt.image_channel_data_type = normalized ? CL_UNORM_INT8 : CL_UNSIGNED_INT8; |
721 | return fmt; |
722 | } |
723 | }; |
724 | |
725 | // Library blobal state |
726 | ocl g_ocl; |
727 | |
728 | bool opencl_init(bool force_serialization) |
729 | { |
730 | if (g_ocl.is_initialized()) |
731 | { |
732 | assert(0); |
733 | return false; |
734 | } |
735 | |
736 | if (!g_ocl.init(force_serialization)) |
737 | { |
738 | ocl_error_printf("opencl_init: Failed initializing OpenCL\n" ); |
739 | return false; |
740 | } |
741 | |
742 | const char* pKernel_src = nullptr; |
743 | size_t kernel_src_size = 0; |
744 | uint8_vec kernel_src; |
745 | |
746 | #if BASISU_USE_OCL_KERNELS_HEADER |
747 | pKernel_src = reinterpret_cast<const char*>(ocl_kernels_cl); |
748 | kernel_src_size = ocl_kernels_cl_len; |
749 | #else |
750 | if (!read_file_to_vec(BASISU_OCL_KERNELS_FILENAME, kernel_src)) |
751 | { |
752 | ocl_error_printf("opencl_init: Cannot read OpenCL kernel source file \"%s\"\n" , BASISU_OCL_KERNELS_FILENAME); |
753 | g_ocl.deinit(); |
754 | return false; |
755 | } |
756 | |
757 | pKernel_src = (char*)kernel_src.data(); |
758 | kernel_src_size = kernel_src.size(); |
759 | #endif |
760 | |
761 | if (!kernel_src_size) |
762 | { |
763 | ocl_error_printf("opencl_init: Invalid OpenCL kernel source file \"%s\"\n" , BASISU_OCL_KERNELS_FILENAME); |
764 | g_ocl.deinit(); |
765 | return false; |
766 | } |
767 | |
768 | if (!g_ocl.init_program(pKernel_src, kernel_src_size)) |
769 | { |
770 | ocl_error_printf("opencl_init: Failed compiling OpenCL program\n" ); |
771 | g_ocl.deinit(); |
772 | return false; |
773 | } |
774 | |
775 | printf("OpenCL support initialized successfully\n" ); |
776 | |
777 | return true; |
778 | } |
779 | |
780 | void opencl_deinit() |
781 | { |
782 | g_ocl.deinit(); |
783 | } |
784 | |
785 | bool opencl_is_available() |
786 | { |
787 | return g_ocl.is_initialized(); |
788 | } |
789 | |
790 | struct opencl_context |
791 | { |
792 | uint32_t m_ocl_total_pixel_blocks; |
793 | cl_mem m_ocl_pixel_blocks; |
794 | |
795 | cl_command_queue m_command_queue; |
796 | |
797 | cl_kernel m_ocl_encode_etc1s_blocks_kernel; |
798 | cl_kernel m_ocl_refine_endpoint_clusterization_kernel; |
799 | cl_kernel m_ocl_encode_etc1s_from_pixel_cluster_kernel; |
800 | cl_kernel m_ocl_find_optimal_selector_clusters_for_each_block_kernel; |
801 | cl_kernel m_ocl_determine_selectors_kernel; |
802 | }; |
803 | |
804 | opencl_context_ptr opencl_create_context() |
805 | { |
806 | if (!opencl_is_available()) |
807 | { |
808 | ocl_error_printf("opencl_create_context: OpenCL not initialized\n" ); |
809 | assert(0); |
810 | return nullptr; |
811 | } |
812 | |
813 | interval_timer tm; |
814 | tm.start(); |
815 | |
816 | opencl_context* pContext = static_cast<opencl_context * >(calloc(sizeof(opencl_context), 1)); |
817 | if (!pContext) |
818 | return nullptr; |
819 | |
820 | // To avoid driver bugs in some drivers - serialize this. Likely not necessary, we don't know. |
821 | // https://community.intel.com/t5/OpenCL-for-CPU/Bug-report-clCreateKernelsInProgram-is-not-thread-safe/td-p/1159771 |
822 | |
823 | pContext->m_command_queue = g_ocl.create_command_queue(); |
824 | if (!pContext->m_command_queue) |
825 | { |
826 | ocl_error_printf("opencl_create_context: Failed creating OpenCL command queue!\n" ); |
827 | opencl_destroy_context(pContext); |
828 | return nullptr; |
829 | } |
830 | |
831 | pContext->m_ocl_encode_etc1s_blocks_kernel = g_ocl.create_kernel("encode_etc1s_blocks" ); |
832 | if (!pContext->m_ocl_encode_etc1s_blocks_kernel) |
833 | { |
834 | ocl_error_printf("opencl_create_context: Failed creating OpenCL kernel encode_etc1s_block\n" ); |
835 | opencl_destroy_context(pContext); |
836 | return nullptr; |
837 | } |
838 | |
839 | pContext->m_ocl_refine_endpoint_clusterization_kernel = g_ocl.create_kernel("refine_endpoint_clusterization" ); |
840 | if (!pContext->m_ocl_refine_endpoint_clusterization_kernel) |
841 | { |
842 | ocl_error_printf("opencl_create_context: Failed creating OpenCL kernel refine_endpoint_clusterization\n" ); |
843 | opencl_destroy_context(pContext); |
844 | return nullptr; |
845 | } |
846 | |
847 | pContext->m_ocl_encode_etc1s_from_pixel_cluster_kernel = g_ocl.create_kernel("encode_etc1s_from_pixel_cluster" ); |
848 | if (!pContext->m_ocl_encode_etc1s_from_pixel_cluster_kernel) |
849 | { |
850 | ocl_error_printf("opencl_create_context: Failed creating OpenCL kernel encode_etc1s_from_pixel_cluster\n" ); |
851 | opencl_destroy_context(pContext); |
852 | return nullptr; |
853 | } |
854 | |
855 | pContext->m_ocl_find_optimal_selector_clusters_for_each_block_kernel = g_ocl.create_kernel("find_optimal_selector_clusters_for_each_block" ); |
856 | if (!pContext->m_ocl_find_optimal_selector_clusters_for_each_block_kernel) |
857 | { |
858 | ocl_error_printf("opencl_create_context: Failed creating OpenCL kernel find_optimal_selector_clusters_for_each_block\n" ); |
859 | opencl_destroy_context(pContext); |
860 | return nullptr; |
861 | } |
862 | |
863 | pContext->m_ocl_determine_selectors_kernel = g_ocl.create_kernel("determine_selectors" ); |
864 | if (!pContext->m_ocl_determine_selectors_kernel) |
865 | { |
866 | ocl_error_printf("opencl_create_context: Failed creating OpenCL kernel determine_selectors\n" ); |
867 | opencl_destroy_context(pContext); |
868 | return nullptr; |
869 | } |
870 | |
871 | debug_printf("opencl_create_context: Elapsed time: %f secs\n" , tm.get_elapsed_secs()); |
872 | |
873 | return pContext; |
874 | } |
875 | |
876 | void opencl_destroy_context(opencl_context_ptr pContext) |
877 | { |
878 | if (!pContext) |
879 | return; |
880 | |
881 | interval_timer tm; |
882 | tm.start(); |
883 | |
884 | g_ocl.destroy_buffer(pContext->m_ocl_pixel_blocks); |
885 | |
886 | g_ocl.destroy_kernel(pContext->m_ocl_determine_selectors_kernel); |
887 | g_ocl.destroy_kernel(pContext->m_ocl_find_optimal_selector_clusters_for_each_block_kernel); |
888 | g_ocl.destroy_kernel(pContext->m_ocl_encode_etc1s_from_pixel_cluster_kernel); |
889 | g_ocl.destroy_kernel(pContext->m_ocl_encode_etc1s_blocks_kernel); |
890 | g_ocl.destroy_kernel(pContext->m_ocl_refine_endpoint_clusterization_kernel); |
891 | |
892 | g_ocl.destroy_command_queue(pContext->m_command_queue); |
893 | |
894 | memset(pContext, 0, sizeof(opencl_context)); |
895 | |
896 | free(pContext); |
897 | |
898 | debug_printf("opencl_destroy_context: Elapsed time: %f secs\n" , tm.get_elapsed_secs()); |
899 | } |
900 | |
901 | #pragma pack(push, 1) |
902 | struct cl_encode_etc1s_param_struct |
903 | { |
904 | int m_total_blocks; |
905 | int m_perceptual; |
906 | int m_total_perms; |
907 | }; |
908 | #pragma pack(pop) |
909 | |
910 | bool opencl_set_pixel_blocks(opencl_context_ptr pContext, uint32_t total_blocks, const cl_pixel_block* pPixel_blocks) |
911 | { |
912 | if (!opencl_is_available()) |
913 | return false; |
914 | |
915 | if (pContext->m_ocl_pixel_blocks) |
916 | { |
917 | g_ocl.destroy_buffer(pContext->m_ocl_pixel_blocks); |
918 | pContext->m_ocl_pixel_blocks = nullptr; |
919 | } |
920 | |
921 | pContext->m_ocl_pixel_blocks = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pPixel_blocks, sizeof(cl_pixel_block) * total_blocks); |
922 | if (!pContext->m_ocl_pixel_blocks) |
923 | return false; |
924 | |
925 | pContext->m_ocl_total_pixel_blocks = total_blocks; |
926 | |
927 | return true; |
928 | } |
929 | |
930 | bool opencl_encode_etc1s_blocks(opencl_context_ptr pContext, etc_block* pOutput_blocks, bool perceptual, uint32_t total_perms) |
931 | { |
932 | if (!opencl_is_available()) |
933 | return false; |
934 | |
935 | interval_timer tm; |
936 | tm.start(); |
937 | |
938 | assert(pContext->m_ocl_pixel_blocks); |
939 | if (!pContext->m_ocl_pixel_blocks) |
940 | return false; |
941 | |
942 | cl_encode_etc1s_param_struct ps; |
943 | ps.m_total_blocks = pContext->m_ocl_total_pixel_blocks; |
944 | ps.m_perceptual = perceptual; |
945 | ps.m_total_perms = total_perms; |
946 | |
947 | bool status = false; |
948 | |
949 | cl_mem vars = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue , &ps, sizeof(ps)); |
950 | cl_mem block_buf = g_ocl.alloc_write_buffer(sizeof(etc_block) * pContext->m_ocl_total_pixel_blocks); |
951 | |
952 | if (!vars || !block_buf) |
953 | goto exit; |
954 | |
955 | if (!g_ocl.set_kernel_args(pContext->m_ocl_encode_etc1s_blocks_kernel, vars, pContext->m_ocl_pixel_blocks, block_buf)) |
956 | goto exit; |
957 | |
958 | if (!g_ocl.run_2D(pContext->m_command_queue, pContext->m_ocl_encode_etc1s_blocks_kernel, pContext->m_ocl_total_pixel_blocks, 1)) |
959 | goto exit; |
960 | |
961 | if (!g_ocl.read_from_buffer(pContext->m_command_queue, block_buf, pOutput_blocks, pContext->m_ocl_total_pixel_blocks * sizeof(etc_block))) |
962 | goto exit; |
963 | |
964 | status = true; |
965 | |
966 | debug_printf("opencl_encode_etc1s_blocks: Elapsed time: %3.3f secs\n" , tm.get_elapsed_secs()); |
967 | |
968 | exit: |
969 | g_ocl.destroy_buffer(block_buf); |
970 | g_ocl.destroy_buffer(vars); |
971 | |
972 | return status; |
973 | } |
974 | |
975 | bool opencl_encode_etc1s_pixel_clusters( |
976 | opencl_context_ptr pContext, |
977 | etc_block* pOutput_blocks, |
978 | uint32_t total_clusters, |
979 | const cl_pixel_cluster* pClusters, |
980 | uint64_t total_pixels, |
981 | const color_rgba* pPixels, const uint32_t* pPixel_weights, |
982 | bool perceptual, uint32_t total_perms) |
983 | { |
984 | if (!opencl_is_available()) |
985 | return false; |
986 | |
987 | interval_timer tm; |
988 | tm.start(); |
989 | |
990 | cl_encode_etc1s_param_struct ps; |
991 | ps.m_total_blocks = total_clusters; |
992 | ps.m_perceptual = perceptual; |
993 | ps.m_total_perms = total_perms; |
994 | |
995 | bool status = false; |
996 | |
997 | if (sizeof(size_t) == sizeof(uint32_t)) |
998 | { |
999 | if ( ((sizeof(cl_pixel_cluster) * total_clusters) > UINT32_MAX) || |
1000 | ((sizeof(color_rgba) * total_pixels) > UINT32_MAX) || |
1001 | ((sizeof(uint32_t) * total_pixels) > UINT32_MAX) ) |
1002 | { |
1003 | return false; |
1004 | } |
1005 | } |
1006 | |
1007 | cl_mem vars = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue , &ps, sizeof(ps)); |
1008 | cl_mem input_clusters = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pClusters, (size_t)(sizeof(cl_pixel_cluster) * total_clusters)); |
1009 | cl_mem input_pixels = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pPixels, (size_t)(sizeof(color_rgba) * total_pixels)); |
1010 | cl_mem weights_buf = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pPixel_weights, (size_t)(sizeof(uint32_t) * total_pixels)); |
1011 | cl_mem block_buf = g_ocl.alloc_write_buffer(sizeof(etc_block) * total_clusters); |
1012 | |
1013 | if (!vars || !input_clusters || !input_pixels || !weights_buf || !block_buf) |
1014 | goto exit; |
1015 | |
1016 | if (!g_ocl.set_kernel_args(pContext->m_ocl_encode_etc1s_from_pixel_cluster_kernel, vars, input_clusters, input_pixels, weights_buf, block_buf)) |
1017 | goto exit; |
1018 | |
1019 | if (!g_ocl.run_2D(pContext->m_command_queue, pContext->m_ocl_encode_etc1s_from_pixel_cluster_kernel, total_clusters, 1)) |
1020 | goto exit; |
1021 | |
1022 | if (!g_ocl.read_from_buffer(pContext->m_command_queue, block_buf, pOutput_blocks, sizeof(etc_block) * total_clusters)) |
1023 | goto exit; |
1024 | |
1025 | status = true; |
1026 | |
1027 | debug_printf("opencl_encode_etc1s_pixel_clusters: Elapsed time: %3.3f secs\n" , tm.get_elapsed_secs()); |
1028 | |
1029 | exit: |
1030 | g_ocl.destroy_buffer(block_buf); |
1031 | g_ocl.destroy_buffer(weights_buf); |
1032 | g_ocl.destroy_buffer(input_pixels); |
1033 | g_ocl.destroy_buffer(input_clusters); |
1034 | g_ocl.destroy_buffer(vars); |
1035 | |
1036 | return status; |
1037 | } |
1038 | |
1039 | #pragma pack(push, 1) |
1040 | struct cl_rec_param_struct |
1041 | { |
1042 | int m_total_blocks; |
1043 | int m_perceptual; |
1044 | }; |
1045 | #pragma pack(pop) |
1046 | |
1047 | bool opencl_refine_endpoint_clusterization( |
1048 | opencl_context_ptr pContext, |
1049 | const cl_block_info_struct* pPixel_block_info, |
1050 | uint32_t total_clusters, |
1051 | const cl_endpoint_cluster_struct* pCluster_info, |
1052 | const uint32_t* pSorted_block_indices, |
1053 | uint32_t* pOutput_cluster_indices, |
1054 | bool perceptual) |
1055 | { |
1056 | if (!opencl_is_available()) |
1057 | return false; |
1058 | |
1059 | interval_timer tm; |
1060 | tm.start(); |
1061 | |
1062 | assert(pContext->m_ocl_pixel_blocks); |
1063 | if (!pContext->m_ocl_pixel_blocks) |
1064 | return false; |
1065 | |
1066 | cl_rec_param_struct ps; |
1067 | ps.m_total_blocks = pContext->m_ocl_total_pixel_blocks; |
1068 | ps.m_perceptual = perceptual; |
1069 | |
1070 | bool status = false; |
1071 | |
1072 | cl_mem pixel_block_info = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pPixel_block_info, sizeof(cl_block_info_struct) * pContext->m_ocl_total_pixel_blocks); |
1073 | cl_mem cluster_info = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pCluster_info, sizeof(cl_endpoint_cluster_struct) * total_clusters); |
1074 | cl_mem sorted_block_indices = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pSorted_block_indices, sizeof(uint32_t) * pContext->m_ocl_total_pixel_blocks); |
1075 | cl_mem output_buf = g_ocl.alloc_write_buffer(sizeof(uint32_t) * pContext->m_ocl_total_pixel_blocks); |
1076 | |
1077 | if (!pixel_block_info || !cluster_info || !sorted_block_indices || !output_buf) |
1078 | goto exit; |
1079 | |
1080 | if (!g_ocl.set_kernel_args(pContext->m_ocl_refine_endpoint_clusterization_kernel, ps, pContext->m_ocl_pixel_blocks, pixel_block_info, cluster_info, sorted_block_indices, output_buf)) |
1081 | goto exit; |
1082 | |
1083 | if (!g_ocl.run_2D(pContext->m_command_queue, pContext->m_ocl_refine_endpoint_clusterization_kernel, pContext->m_ocl_total_pixel_blocks, 1)) |
1084 | goto exit; |
1085 | |
1086 | if (!g_ocl.read_from_buffer(pContext->m_command_queue, output_buf, pOutput_cluster_indices, pContext->m_ocl_total_pixel_blocks * sizeof(uint32_t))) |
1087 | goto exit; |
1088 | |
1089 | debug_printf("opencl_refine_endpoint_clusterization: Elapsed time: %3.3f secs\n" , tm.get_elapsed_secs()); |
1090 | |
1091 | status = true; |
1092 | |
1093 | exit: |
1094 | g_ocl.destroy_buffer(pixel_block_info); |
1095 | g_ocl.destroy_buffer(cluster_info); |
1096 | g_ocl.destroy_buffer(sorted_block_indices); |
1097 | g_ocl.destroy_buffer(output_buf); |
1098 | |
1099 | return status; |
1100 | } |
1101 | |
1102 | bool opencl_find_optimal_selector_clusters_for_each_block( |
1103 | opencl_context_ptr pContext, |
1104 | const fosc_block_struct* pInput_block_info, // one per block |
1105 | uint32_t total_input_selectors, |
1106 | const fosc_selector_struct* pInput_selectors, |
1107 | const uint32_t* pSelector_cluster_indices, |
1108 | uint32_t* pOutput_selector_cluster_indices, // one per block |
1109 | bool perceptual) |
1110 | { |
1111 | if (!opencl_is_available()) |
1112 | return false; |
1113 | |
1114 | interval_timer tm; |
1115 | tm.start(); |
1116 | |
1117 | assert(pContext->m_ocl_pixel_blocks); |
1118 | if (!pContext->m_ocl_pixel_blocks) |
1119 | return false; |
1120 | |
1121 | fosc_param_struct ps; |
1122 | ps.m_total_blocks = pContext->m_ocl_total_pixel_blocks; |
1123 | ps.m_perceptual = perceptual; |
1124 | |
1125 | bool status = false; |
1126 | |
1127 | cl_mem input_block_info = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pInput_block_info, sizeof(fosc_block_struct) * pContext->m_ocl_total_pixel_blocks); |
1128 | cl_mem input_selectors = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pInput_selectors, sizeof(fosc_selector_struct) * total_input_selectors); |
1129 | cl_mem selector_cluster_indices = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pSelector_cluster_indices, sizeof(uint32_t) * total_input_selectors); |
1130 | cl_mem output_selector_cluster_indices = g_ocl.alloc_write_buffer(sizeof(uint32_t) * pContext->m_ocl_total_pixel_blocks); |
1131 | |
1132 | if (!input_block_info || !input_selectors || !selector_cluster_indices || !output_selector_cluster_indices) |
1133 | goto exit; |
1134 | |
1135 | if (!g_ocl.set_kernel_args(pContext->m_ocl_find_optimal_selector_clusters_for_each_block_kernel, ps, pContext->m_ocl_pixel_blocks, input_block_info, input_selectors, selector_cluster_indices, output_selector_cluster_indices)) |
1136 | goto exit; |
1137 | |
1138 | if (!g_ocl.run_2D(pContext->m_command_queue, pContext->m_ocl_find_optimal_selector_clusters_for_each_block_kernel, pContext->m_ocl_total_pixel_blocks, 1)) |
1139 | goto exit; |
1140 | |
1141 | if (!g_ocl.read_from_buffer(pContext->m_command_queue, output_selector_cluster_indices, pOutput_selector_cluster_indices, pContext->m_ocl_total_pixel_blocks * sizeof(uint32_t))) |
1142 | goto exit; |
1143 | |
1144 | debug_printf("opencl_find_optimal_selector_clusters_for_each_block: Elapsed time: %3.3f secs\n" , tm.get_elapsed_secs()); |
1145 | |
1146 | status = true; |
1147 | |
1148 | exit: |
1149 | g_ocl.destroy_buffer(input_block_info); |
1150 | g_ocl.destroy_buffer(input_selectors); |
1151 | g_ocl.destroy_buffer(selector_cluster_indices); |
1152 | g_ocl.destroy_buffer(output_selector_cluster_indices); |
1153 | |
1154 | return status; |
1155 | } |
1156 | |
1157 | bool opencl_determine_selectors( |
1158 | opencl_context_ptr pContext, |
1159 | const color_rgba* pInput_etc_color5_and_inten, |
1160 | etc_block* pOutput_blocks, |
1161 | bool perceptual) |
1162 | { |
1163 | if (!opencl_is_available()) |
1164 | return false; |
1165 | |
1166 | interval_timer tm; |
1167 | tm.start(); |
1168 | |
1169 | assert(pContext->m_ocl_pixel_blocks); |
1170 | if (!pContext->m_ocl_pixel_blocks) |
1171 | return false; |
1172 | |
1173 | ds_param_struct ps; |
1174 | ps.m_total_blocks = pContext->m_ocl_total_pixel_blocks; |
1175 | ps.m_perceptual = perceptual; |
1176 | |
1177 | bool status = false; |
1178 | |
1179 | cl_mem input_etc_color5_intens = g_ocl.alloc_and_init_read_buffer(pContext->m_command_queue, pInput_etc_color5_and_inten, sizeof(color_rgba) * pContext->m_ocl_total_pixel_blocks); |
1180 | cl_mem output_blocks = g_ocl.alloc_write_buffer(sizeof(etc_block) * pContext->m_ocl_total_pixel_blocks); |
1181 | |
1182 | if (!input_etc_color5_intens || !output_blocks) |
1183 | goto exit; |
1184 | |
1185 | if (!g_ocl.set_kernel_args(pContext->m_ocl_determine_selectors_kernel, ps, pContext->m_ocl_pixel_blocks, input_etc_color5_intens, output_blocks)) |
1186 | goto exit; |
1187 | |
1188 | if (!g_ocl.run_2D(pContext->m_command_queue, pContext->m_ocl_determine_selectors_kernel, pContext->m_ocl_total_pixel_blocks, 1)) |
1189 | goto exit; |
1190 | |
1191 | if (!g_ocl.read_from_buffer(pContext->m_command_queue, output_blocks, pOutput_blocks, pContext->m_ocl_total_pixel_blocks * sizeof(etc_block))) |
1192 | goto exit; |
1193 | |
1194 | debug_printf("opencl_determine_selectors: Elapsed time: %3.3f secs\n" , tm.get_elapsed_secs()); |
1195 | |
1196 | status = true; |
1197 | |
1198 | exit: |
1199 | g_ocl.destroy_buffer(input_etc_color5_intens); |
1200 | g_ocl.destroy_buffer(output_blocks); |
1201 | |
1202 | return status; |
1203 | } |
1204 | |
1205 | #else |
1206 | namespace basisu |
1207 | { |
1208 | // No OpenCL support - all dummy functions that return false; |
1209 | bool opencl_init(bool force_serialization) |
1210 | { |
1211 | BASISU_NOTE_UNUSED(force_serialization); |
1212 | |
1213 | return false; |
1214 | } |
1215 | |
1216 | void opencl_deinit() |
1217 | { |
1218 | } |
1219 | |
1220 | bool opencl_is_available() |
1221 | { |
1222 | return false; |
1223 | } |
1224 | |
1225 | opencl_context_ptr opencl_create_context() |
1226 | { |
1227 | return nullptr; |
1228 | } |
1229 | |
1230 | void opencl_destroy_context(opencl_context_ptr context) |
1231 | { |
1232 | BASISU_NOTE_UNUSED(context); |
1233 | } |
1234 | |
1235 | bool opencl_set_pixel_blocks(opencl_context_ptr pContext, uint32_t total_blocks, const cl_pixel_block* pPixel_blocks) |
1236 | { |
1237 | BASISU_NOTE_UNUSED(pContext); |
1238 | BASISU_NOTE_UNUSED(total_blocks); |
1239 | BASISU_NOTE_UNUSED(pPixel_blocks); |
1240 | |
1241 | return false; |
1242 | } |
1243 | |
1244 | bool opencl_encode_etc1s_blocks(opencl_context_ptr pContext, etc_block* pOutput_blocks, bool perceptual, uint32_t total_perms) |
1245 | { |
1246 | BASISU_NOTE_UNUSED(pContext); |
1247 | BASISU_NOTE_UNUSED(pOutput_blocks); |
1248 | BASISU_NOTE_UNUSED(perceptual); |
1249 | BASISU_NOTE_UNUSED(total_perms); |
1250 | |
1251 | return false; |
1252 | } |
1253 | |
1254 | bool opencl_encode_etc1s_pixel_clusters( |
1255 | opencl_context_ptr pContext, |
1256 | etc_block* pOutput_blocks, |
1257 | uint32_t total_clusters, |
1258 | const cl_pixel_cluster* pClusters, |
1259 | uint64_t total_pixels, |
1260 | const color_rgba* pPixels, const uint32_t *pPixel_weights, |
1261 | bool perceptual, uint32_t total_perms) |
1262 | { |
1263 | BASISU_NOTE_UNUSED(pContext); |
1264 | BASISU_NOTE_UNUSED(pOutput_blocks); |
1265 | BASISU_NOTE_UNUSED(total_clusters); |
1266 | BASISU_NOTE_UNUSED(pClusters); |
1267 | BASISU_NOTE_UNUSED(total_pixels); |
1268 | BASISU_NOTE_UNUSED(pPixels); |
1269 | BASISU_NOTE_UNUSED(pPixel_weights); |
1270 | BASISU_NOTE_UNUSED(perceptual); |
1271 | BASISU_NOTE_UNUSED(total_perms); |
1272 | |
1273 | return false; |
1274 | } |
1275 | |
1276 | bool opencl_refine_endpoint_clusterization( |
1277 | opencl_context_ptr pContext, |
1278 | const cl_block_info_struct* pPixel_block_info, |
1279 | uint32_t total_clusters, |
1280 | const cl_endpoint_cluster_struct* pCluster_info, |
1281 | const uint32_t* pSorted_block_indices, |
1282 | uint32_t* pOutput_cluster_indices, |
1283 | bool perceptual) |
1284 | { |
1285 | BASISU_NOTE_UNUSED(pContext); |
1286 | BASISU_NOTE_UNUSED(pPixel_block_info); |
1287 | BASISU_NOTE_UNUSED(total_clusters); |
1288 | BASISU_NOTE_UNUSED(pCluster_info); |
1289 | BASISU_NOTE_UNUSED(pSorted_block_indices); |
1290 | BASISU_NOTE_UNUSED(pOutput_cluster_indices); |
1291 | BASISU_NOTE_UNUSED(perceptual); |
1292 | |
1293 | return false; |
1294 | } |
1295 | |
1296 | bool opencl_find_optimal_selector_clusters_for_each_block( |
1297 | opencl_context_ptr pContext, |
1298 | const fosc_block_struct* pInput_block_info, // one per block |
1299 | uint32_t total_input_selectors, |
1300 | const fosc_selector_struct* pInput_selectors, |
1301 | const uint32_t* pSelector_cluster_indices, |
1302 | uint32_t* pOutput_selector_cluster_indices, // one per block |
1303 | bool perceptual) |
1304 | { |
1305 | BASISU_NOTE_UNUSED(pContext); |
1306 | BASISU_NOTE_UNUSED(pInput_block_info); |
1307 | BASISU_NOTE_UNUSED(total_input_selectors); |
1308 | BASISU_NOTE_UNUSED(pInput_selectors); |
1309 | BASISU_NOTE_UNUSED(pSelector_cluster_indices); |
1310 | BASISU_NOTE_UNUSED(pOutput_selector_cluster_indices); |
1311 | BASISU_NOTE_UNUSED(perceptual); |
1312 | |
1313 | return false; |
1314 | } |
1315 | |
1316 | bool opencl_determine_selectors( |
1317 | opencl_context_ptr pContext, |
1318 | const color_rgba* pInput_etc_color5_and_inten, |
1319 | etc_block* pOutput_blocks, |
1320 | bool perceptual) |
1321 | { |
1322 | BASISU_NOTE_UNUSED(pContext); |
1323 | BASISU_NOTE_UNUSED(pInput_etc_color5_and_inten); |
1324 | BASISU_NOTE_UNUSED(pOutput_blocks); |
1325 | BASISU_NOTE_UNUSED(perceptual); |
1326 | |
1327 | return false; |
1328 | } |
1329 | |
1330 | #endif // BASISU_SUPPORT_OPENCL |
1331 | |
1332 | } // namespace basisu |
1333 | |