GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — arrayfire-python/arrayfire/library.py at master · arrayfire/arrayfire-python Expand file tree/ Copy pathlibrary.pyMore file actions 858 lines (709 loc) · 21.1 KB / Copy pathlibrary.pyFile metadata and controls858 lines (709 loc) · 21.1 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 ####################################################### # Copyright (c) 2015, ArrayFire # All rights reserved. # # This file is distributed under 3-clause BSD license. # The complete license agreement can be obtained at: # http://arrayfire.com/licenses/BSD-3-Clause ######################################################## """ Module containing enums and other constants. """ import platform import ctypes as ct import traceback import os import sys c_float_t = ct.c_float c_double_t = ct.c_double c_int_t = ct.c_int c_uint_t = ct.c_uint c_longlong_t = ct.c_longlong c_ulonglong_t = ct.c_ulonglong c_char_t = ct.c_char c_bool_t = ct.c_bool c_uchar_t = ct.c_ubyte c_short_t = ct.c_short c_ushort_t = ct.c_ushort c_pointer = ct.pointer c_void_ptr_t = ct.c_void_p c_char_ptr_t = ct.c_char_p c_size_t = ct.c_size_t c_cast = ct.cast class af_cfloat_t(ct.Structure): _fields_ = [("real", ct.c_float), ("imag", ct.c_float)] class af_cdouble_t(ct.Structure): _fields_ = [("real", ct.c_double), ("imag", ct.c_double)] AF_VER_MAJOR = '3' FORGE_VER_MAJOR = '1' # Work around for unexpected architectures if 'c_dim_t_forced' in globals(): global c_dim_t_forced c_dim_t = c_dim_t_forced else: # dim_t is long long by default c_dim_t = c_longlong_t # Change to int for 32 bit x86 and amr architectures if (platform.architecture()[0][0:2] == '32' and (platform.machine()[-2:] == '86' or platform.machine()[0:3] == 'arm')): c_dim_t = c_int_t try: from enum import Enum as _Enum def _Enum_Type(v): return v except ImportError: class _MetaEnum(type): def __init__(cls, name, bases, attrs): for attrname, attrvalue in attrs.iteritems(): if name != '_Enum' and isinstance(attrvalue, _Enum_Type): attrvalue.__class__ = cls attrs[attrname] = attrvalue class _Enum(object): __metaclass__ = _MetaEnum class _Enum_Type(object): def __init__(self, v): self.value = v class ERR(_Enum): """ Error values. For internal use only. """ NONE = _Enum_Type(0) #100-199 Errors in environment NO_MEM = _Enum_Type(101) DRIVER = _Enum_Type(102) RUNTIME = _Enum_Type(103) # 200-299 Errors in input parameters INVALID_ARRAY = _Enum_Type(201) ARG = _Enum_Type(202) SIZE = _Enum_Type(203) TYPE = _Enum_Type(204) DIFF_TYPE = _Enum_Type(205) BATCH = _Enum_Type(207) DEVICE = _Enum_Type(208) # 300-399 Errors for missing software features NOT_SUPPORTED = _Enum_Type(301) NOT_CONFIGURED = _Enum_Type(302) NONFREE = _Enum_Type(303) # 400-499 Errors for missing hardware features NO_DBL = _Enum_Type(401) NO_GFX = _Enum_Type(402) NO_HALF = _Enum_Type(403) # 500-599 Errors specific to the heterogeneous API LOAD_LIB = _Enum_Type(501) LOAD_SYM = _Enum_Type(502) ARR_BKND_MISMATCH = _Enum_Type(503) # 900-999 Errors from upstream libraries and runtimes INTERNAL = _Enum_Type(998) UNKNOWN = _Enum_Type(999) class Dtype(_Enum): """ Error values. For internal use only. """ f32 = _Enum_Type(0) c32 = _Enum_Type(1) f64 = _Enum_Type(2) c64 = _Enum_Type(3) b8 = _Enum_Type(4) s32 = _Enum_Type(5) u32 = _Enum_Type(6) u8 = _Enum_Type(7) s64 = _Enum_Type(8) u64 = _Enum_Type(9) s16 = _Enum_Type(10) u16 = _Enum_Type(11) f16 = _Enum_Type(12) class Source(_Enum): """ Source of the pointer """ device = _Enum_Type(0) host = _Enum_Type(1) class INTERP(_Enum): """ Interpolation method """ NEAREST = _Enum_Type(0) LINEAR = _Enum_Type(1) BILINEAR = _Enum_Type(2) CUBIC = _Enum_Type(3) LOWER = _Enum_Type(4) LINEAR_COSINE = _Enum_Type(5) BILINEAR_COSINE = _Enum_Type(6) BICUBIC = _Enum_Type(7) CUBIC_SPLINE = _Enum_Type(8) BICUBIC_SPLINE = _Enum_Type(9) class PAD(_Enum): """ Edge padding types """ ZERO = _Enum_Type(0) SYM = _Enum_Type(1) CLAMP_TO_EDGE = _Enum_Type(2) PERIODIC = _Enum_Type(3) class CONNECTIVITY(_Enum): """ Neighborhood connectivity """ FOUR = _Enum_Type(4) EIGHT = _Enum_Type(8) class CONV_MODE(_Enum): """ Convolution mode """ DEFAULT = _Enum_Type(0) EXPAND = _Enum_Type(1) class CONV_DOMAIN(_Enum): """ Convolution domain """ AUTO = _Enum_Type(0) SPATIAL = _Enum_Type(1) FREQ = _Enum_Type(2) class CONV_GRADIENT(_Enum): """ Convolution gradient type """ DEFAULT = _Enum_Type(0) FILTER = _Enum_Type(1) DATA = _Enum_Type(2) BIAS = _Enum_Type(3) class MATCH(_Enum): """ Match type """ """ Sum of absolute differences """ SAD = _Enum_Type(0) """ Zero mean SAD """ ZSAD = _Enum_Type(1) """ Locally scaled SAD """ LSAD = _Enum_Type(2) """ Sum of squared differences """ SSD = _Enum_Type(3) """ Zero mean SSD """ ZSSD = _Enum_Type(4) """ Locally scaled SSD """ LSSD = _Enum_Type(5) """ Normalized cross correlation """ NCC = _Enum_Type(6) """ Zero mean NCC """ ZNCC = _Enum_Type(7) """ Sum of hamming distances """ SHD = _Enum_Type(8) class YCC_STD(_Enum): """ YCC Standard formats """ BT_601 = _Enum_Type(601) BT_709 = _Enum_Type(709) BT_2020 = _Enum_Type(2020) class CSPACE(_Enum): """ Colorspace formats """ GRAY = _Enum_Type(0) RGB = _Enum_Type(1) HSV = _Enum_Type(2) YCbCr= _Enum_Type(3) class MATPROP(_Enum): """ Matrix properties """ """ None, general. """ NONE = _Enum_Type(0) """ Transposed. """ TRANS = _Enum_Type(1) """ Conjugate transposed. """ CTRANS = _Enum_Type(2) """ Upper triangular matrix. """ UPPER = _Enum_Type(32) """ Lower triangular matrix. """ LOWER = _Enum_Type(64) """ Treat diagonal as units. """ DIAG_UNIT = _Enum_Type(128) """ Symmetric matrix. """ SYM = _Enum_Type(512) """ Positive definite matrix. """ POSDEF = _Enum_Type(1024) """ Orthogonal matrix. """ ORTHOG = _Enum_Type(2048) """ Tri diagonal matrix. """ TRI_DIAG = _Enum_Type(4096) """ Block diagonal matrix. """ BLOCK_DIAG = _Enum_Type(8192) class NORM(_Enum): """ Norm types """ VECTOR_1 = _Enum_Type(0) VECTOR_INF = _Enum_Type(1) VECTOR_2 = _Enum_Type(2) VECTOR_P = _Enum_Type(3) MATRIX_1 = _Enum_Type(4) MATRIX_INF = _Enum_Type(5) MATRIX_2 = _Enum_Type(6) MATRIX_L_PQ = _Enum_Type(7) EUCLID = VECTOR_2 class COLORMAP(_Enum): """ Colormaps """ DEFAULT = _Enum_Type(0) SPECTRUM = _Enum_Type(1) COLORS = _Enum_Type(2) RED = _Enum_Type(3) MOOD = _Enum_Type(4) HEAT = _Enum_Type(5) BLUE = _Enum_Type(6) class IMAGE_FORMAT(_Enum): """ Image Formats """ BMP = _Enum_Type(0) ICO = _Enum_Type(1) JPEG = _Enum_Type(2) JNG = _Enum_Type(3) PNG = _Enum_Type(13) PPM = _Enum_Type(14) PPMRAW = _Enum_Type(15) TIFF = _Enum_Type(18) PSD = _Enum_Type(20) HDR = _Enum_Type(26) EXR = _Enum_Type(29) JP2 = _Enum_Type(31) RAW = _Enum_Type(34) class HOMOGRAPHY(_Enum): """ Homography Types """ RANSAC = _Enum_Type(0) LMEDS = _Enum_Type(1) class BACKEND(_Enum): """ Backend libraries """ DEFAULT = _Enum_Type(0) CPU = _Enum_Type(1) CUDA = _Enum_Type(2) OPENCL = _Enum_Type(4) class MARKER(_Enum): """ Markers used for different points in graphics plots """ NONE = _Enum_Type(0) POINT = _Enum_Type(1) CIRCLE = _Enum_Type(2) SQUARE = _Enum_Type(3) TRIANGE = _Enum_Type(4) CROSS = _Enum_Type(5) PLUS = _Enum_Type(6) STAR = _Enum_Type(7) class MOMENT(_Enum): """ Image Moments types """ M00 = _Enum_Type(1) M01 = _Enum_Type(2) M10 = _Enum_Type(4) M11 = _Enum_Type(8) FIRST_ORDER = _Enum_Type(15) class BINARYOP(_Enum): """ Binary Operators """ ADD = _Enum_Type(0) MUL = _Enum_Type(1) MIN = _Enum_Type(2) MAX = _Enum_Type(3) class RANDOM_ENGINE(_Enum): """ Random engine types """ PHILOX_4X32_10 = _Enum_Type(100) THREEFRY_2X32_16 = _Enum_Type(200) MERSENNE_GP11213 = _Enum_Type(300) PHILOX = PHILOX_4X32_10 THREEFRY = THREEFRY_2X32_16 DEFAULT = PHILOX class STORAGE(_Enum): """ Matrix Storage types """ DENSE = _Enum_Type(0) CSR = _Enum_Type(1) CSC = _Enum_Type(2) COO = _Enum_Type(3) class CANNY_THRESHOLD(_Enum): """ Canny Edge Threshold types """ MANUAL = _Enum_Type(0) AUTO_OTSU = _Enum_Type(1) class FLUX(_Enum): """ Flux functions """ DEFAULT = _Enum_Type(0) QUADRATIC = _Enum_Type(1) EXPONENTIAL = _Enum_Type(2) class DIFFUSION(_Enum): """ Diffusion equations """ DEFAULT = _Enum_Type(0) GRAD = _Enum_Type(1) MCDE = _Enum_Type(2) class TOPK(_Enum): """ Top-K ordering """ DEFAULT = _Enum_Type(0) MIN = _Enum_Type(1) MAX = _Enum_Type(2) class ITERATIVE_DECONV(_Enum): """ Iterative deconvolution algorithm """ DEFAULT = _Enum_Type(0) LANDWEBER = _Enum_Type(1) RICHARDSONLUCY = _Enum_Type(2) class INVERSE_DECONV(_Enum): """ Inverse deconvolution algorithm """ DEFAULT = _Enum_Type(0) TIKHONOV = _Enum_Type(1) class VARIANCE(_Enum): """ Variance bias type """ DEFAULT = _Enum_Type(0) SAMPLE = _Enum_Type(1) POPULATION = _Enum_Type(2) class CUBLAS_MATH_MODE(_Enum): """ Enable Tensor Core usage if available on CUDA backend GPUs """ DEFAULT = _Enum_Type(0) TENSOR_OP = _Enum_Type(1) _VER_MAJOR_PLACEHOLDER = "__VER_MAJOR__" def _setup(): platform_name = platform.system() try: AF_PATH = os.environ['AF_PATH'] except KeyError: AF_PATH = None AF_SEARCH_PATH = AF_PATH try: CUDA_PATH = os.environ['CUDA_PATH'] except KeyError: CUDA_PATH= None CUDA_FOUND = False assert(len(platform_name) >= 3) if platform_name == 'Windows' or platform_name[:3] == 'CYG': ## Windows specific setup pre = '' post = '.dll' if platform_name == "Windows": ''' Supressing crashes caused by missing dlls http://stackoverflow.com/questions/8347266/missing-dll-print-message-instead-of-launching-a-popup https://msdn.microsoft.com/en-us/library/windows/desktop/ms680621.aspx ''' ct.windll.kernel32.SetErrorMode(0x0001 | 0x0002) if AF_SEARCH_PATH is None: AF_SEARCH_PATH = "C:/Program Files/ArrayFire/v" + AF_VER_MAJOR +"/" if CUDA_PATH is not None: CUDA_FOUND = os.path.isdir(CUDA_PATH + '/bin') and os.path.isdir(CUDA_PATH + '/nvvm/bin/') elif platform_name == 'Darwin': ## OSX specific setup pre = 'lib' post = '.' + _VER_MAJOR_PLACEHOLDER + '.dylib' if AF_SEARCH_PATH is None: if os.path.exists('/opt/arrayfire'): AF_SEARCH_PATH = '/opt/arrayfire/' else: AF_SEARCH_PATH = '/usr/local/' if CUDA_PATH is None: CUDA_PATH='/usr/local/cuda/' CUDA_FOUND = os.path.isdir(CUDA_PATH + '/lib') and os.path.isdir(CUDA_PATH + '/nvvm/lib') elif platform_name == 'Linux': pre = 'lib' post = '.so.' + _VER_MAJOR_PLACEHOLDER if AF_SEARCH_PATH is None: if os.path.exists('/opt/arrayfire-' + AF_VER_MAJOR + '/'): AF_SEARCH_PATH = '/opt/arrayfire-' + AF_VER_MAJOR + '/' elif os.path.exists('/opt/arrayfire/'): AF_SEARCH_PATH = '/opt/arrayfire/' else: AF_SEARCH_PATH = '/usr/local/' if CUDA_PATH is None: CUDA_PATH='/usr/local/cuda/' if platform.architecture()[0][:2] == '64': CUDA_FOUND = os.path.isdir(CUDA_PATH + '/lib64') and os.path.isdir(CUDA_PATH + '/nvvm/lib64') else: CUDA_FOUND = os.path.isdir(CUDA_PATH + '/lib') and os.path.isdir(CUDA_PATH + '/nvvm/lib') else: raise OSError(platform_name + ' not supported') return pre, post, AF_PATH, AF_SEARCH_PATH, CUDA_FOUND class _clibrary(object): def __find_nvrtc_builtins_libname(self, search_path): filelist = os.listdir(search_path) for f in filelist: if 'nvrtc-builtins' in f: return f return None def __libname(self, name, head='af', ver_major=AF_VER_MAJOR): post = self.__post.replace(_VER_MAJOR_PLACEHOLDER, ver_major) libname = self.__pre + head + name + post if self.AF_PATH: if os.path.isdir(self.AF_PATH + '/lib64'): path_search = self.AF_PATH + '/lib64/' else: path_search = self.AF_PATH + '/lib/' else: if os.path.isdir(self.AF_SEARCH_PATH + '/lib64'): path_search = self.AF_SEARCH_PATH + '/lib64/' else: path_search = self.AF_SEARCH_PATH + '/lib/' if platform.architecture()[0][:2] == '64': path_site = sys.prefix + '/lib64/' else: path_site = sys.prefix + '/lib/' path_local = self.AF_PYMODULE_PATH libpaths = [('', libname), (path_site, libname), (path_local,libname)] if self.AF_PATH: #prefer specified AF_PATH if exists libpaths.append((path_search, libname)) else: libpaths.insert(2, (path_search, libname)) return libpaths def set_unsafe(self, name): lib = self.__clibs[name] if (lib is None): raise RuntimeError("Backend not found") self.__name = name def __init__(self): more_info_str = "Please look at https://github.com/arrayfire/arrayfire-python/wiki for more information." pre, post, AF_PATH, AF_SEARCH_PATH, CUDA_FOUND = _setup() self.__pre = pre self.__post = post self.AF_PATH = AF_PATH self.AF_SEARCH_PATH = AF_SEARCH_PATH self.CUDA_FOUND = CUDA_FOUND # prefer locally packaged arrayfire libraries if they exist af_module = __import__(__name__) self.AF_PYMODULE_PATH = af_module.__path__[0] + '/' if af_module.__path__ else None self.__name = None self.__clibs = {'cuda' : None, 'opencl' : None, 'cpu' : None, 'unified' : None} self.__backend_map = {0 : 'unified', 1 : 'cpu' , 2 : 'cuda' , 4 : 'opencl' } self.__backend_name_map = {'default' : 0, 'unified' : 0, 'cpu' : 1, 'cuda' : 2, 'opencl' : 4} # Try to pre-load forge library if it exists libnames = reversed(self.__libname('forge', head='', ver_major=FORGE_VER_MAJOR)) try: VERBOSE_LOADS = os.environ['AF_VERBOSE_LOADS'] == '1' except KeyError: VERBOSE_LOADS = False for libname in libnames: try: full_libname = libname[0] + libname[1] ct.cdll.LoadLibrary(full_libname) if VERBOSE_LOADS: print('Loaded ' + full_libname) break except OSError: if VERBOSE_LOADS: traceback.print_exc() print('Unable to load ' + full_libname) c_dim4 = c_dim_t*4 out = c_void_ptr_t(0) dims = c_dim4(10, 10, 1, 1) # Iterate in reverse order of preference for name in ('cpu', 'opencl', 'cuda', ''): libnames = reversed(self.__libname(name)) for libname in libnames: try: full_libname = libname[0] + libname[1] ct.cdll.LoadLibrary(full_libname) __name = 'unified' if name == '' else name clib = ct.CDLL(full_libname) self.__clibs[__name] = clib err = clib.af_randu(c_pointer(out), 4, c_pointer(dims), Dtype.f32.value) if (err == ERR.NONE.value): self.__name = __name clib.af_release_array(out) if VERBOSE_LOADS: print('Loaded ' + full_libname) # load nvrtc-builtins library if using cuda if name == 'cuda': nvrtc_name = self.__find_nvrtc_builtins_libname(libname[0]) if nvrtc_name: ct.cdll.LoadLibrary(libname[0] + nvrtc_name) if VERBOSE_LOADS: print('Loaded ' + libname[0] + nvrtc_name) else: if VERBOSE_LOADS: print('Could not find local nvrtc-builtins libarary') break; except OSError: if VERBOSE_LOADS: traceback.print_exc() print('Unable to load ' + full_libname) if (self.__name is None): raise RuntimeError("Could not load any ArrayFire libraries.\n" + more_info_str) def get_id(self, name): return self.__backend_name_map[name] def get_name(self, bk_id): return self.__backend_map[bk_id] def get(self): return self.__clibs[self.__name] def name(self): return self.__name def is_unified(self): return self.__name == 'unified' def parse(self, res): lst = [] for key,value in self.__backend_name_map.items(): if (value & res): lst.append(key) return tuple(lst) backend = _clibrary() def set_backend(name, unsafe=False): """ Set a specific backend by name Parameters ---------- name : str. unsafe : optional: bool. Default: False. If False, does not switch backend if current backend is not unified backend. """ if (backend.is_unified() == False and unsafe == False): raise RuntimeError("Can not change backend to %s after loading %s" % (name, backend.name())) if (backend.is_unified()): safe_call(backend.get().af_set_backend(backend.get_id(name))) else: backend.set_unsafe(name) return def get_backend(): """ Return the name of the backend """ return backend.name() def get_backend_id(A): """ Get backend name of an array Parameters ---------- A : af.Array Returns ---------- name : str. Backend name """ backend_id = c_int_t(BACKEND.CPU.value) safe_call(backend.get().af_get_backend_id(c_pointer(backend_id), A.arr)) return backend.get_name(backend_id.value) def get_backend_count(): """ Get number of available backends Returns ---------- count : int Number of available backends """ count = c_int_t(0) safe_call(backend.get().af_get_backend_count(c_pointer(count))) return count.value def get_available_backends(): """ Get names of available backends Returns ---------- names : tuple of strings Names of available backends """ available = c_int_t(0) safe_call(backend.get().af_get_available_backends(c_pointer(available))) return backend.parse(int(available.value)) def get_active_backend(): """ Get the current active backend name : str. Backend name """ backend_id = c_int_t(BACKEND.CPU.value) safe_call(backend.get().af_get_active_backend(c_pointer(backend_id))) return backend.get_name(backend_id.value) def get_device_id(A): """ Get the device id of the array Parameters ---------- A : af.Array Returns ---------- dev : Integer id of the device array was created on """ device_id = c_int_t(0) safe_call(backend.get().af_get_device_id(c_pointer(device_id), A.arr)) return device_id def get_size_of(dtype): """ Get the size of the type represented by arrayfire.Dtype """ size = c_size_t(0) safe_call(backend.get().af_get_size_of(c_pointer(size), dtype.value)) return size.value from .util import safe_call |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |