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GeezerVison is showing github.com — tensorflow/configure.py at pypy-basic · DesignCenterTimTech/tensorflow Expand file tree/ Copy pathconfigure.pyMore file actions 1475 lines (1224 loc) · 52.2 KB / Copy pathconfigure.pyFile metadata and controls1475 lines (1224 loc) · 52.2 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 # Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """configure script to get build parameters from user.""" import argparse import errno import glob import os import platform import re import subprocess import sys # pylint: disable=g-import-not-at-top try: from shutil import which except ImportError: from distutils.spawn import find_executable as which # pylint: enable=g-import-not-at-top _DEFAULT_CUDA_VERSION = '10' _DEFAULT_CUDNN_VERSION = '7' _DEFAULT_TENSORRT_VERSION = '6' _DEFAULT_CUDA_COMPUTE_CAPABILITIES = '3.5,7.0' _SUPPORTED_ANDROID_NDK_VERSIONS = [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ] _DEFAULT_PROMPT_ASK_ATTEMPTS = 10 _TF_BAZELRC_FILENAME = '.tf_configure.bazelrc' _TF_WORKSPACE_ROOT = '' _TF_BAZELRC = '' _TF_CURRENT_BAZEL_VERSION = None _TF_MIN_BAZEL_VERSION = '4.2.1' _TF_MAX_BAZEL_VERSION = '4.99.0' NCCL_LIB_PATHS = [ 'lib64/', 'lib/powerpc64le-linux-gnu/', 'lib/x86_64-linux-gnu/', '' ] # List of files to configure when building Bazel on Apple platforms. APPLE_BAZEL_FILES = [ 'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD', 'tensorflow/lite/swift/BUILD', 'tensorflow/lite/tools/benchmark/experimental/ios/BUILD' ] # List of files to move when building for iOS. IOS_FILES = [ 'tensorflow/lite/objc/TensorFlowLiteObjC.podspec', 'tensorflow/lite/swift/TensorFlowLiteSwift.podspec', ] class UserInputError(Exception): pass def is_windows(): return platform.system() == 'Windows' def is_linux(): return platform.system() == 'Linux' def is_macos(): return platform.system() == 'Darwin' def is_ppc64le(): return platform.machine() == 'ppc64le' def is_cygwin(): return platform.system().startswith('CYGWIN_NT') def get_input(question): try: try: answer = raw_input(question) except NameError: answer = input(question) # pylint: disable=bad-builtin except EOFError: answer = '' return answer def symlink_force(target, link_name): """Force symlink, equivalent of 'ln -sf'. Args: target: items to link to. link_name: name of the link. """ try: os.symlink(target, link_name) except OSError as e: if e.errno == errno.EEXIST: os.remove(link_name) os.symlink(target, link_name) else: raise e def sed_in_place(filename, old, new): """Replace old string with new string in file. Args: filename: string for filename. old: string to replace. new: new string to replace to. """ with open(filename, 'r') as f: filedata = f.read() newdata = filedata.replace(old, new) with open(filename, 'w') as f: f.write(newdata) def write_to_bazelrc(line): with open(_TF_BAZELRC, 'a') as f: f.write(line + '\n') def write_action_env_to_bazelrc(var_name, var): write_to_bazelrc('build --action_env {}="{}"'.format(var_name, str(var))) def run_shell(cmd, allow_non_zero=False, stderr=None): if stderr is None: stderr = sys.stdout if allow_non_zero: try: output = subprocess.check_output(cmd, stderr=stderr) except subprocess.CalledProcessError as e: output = e.output else: output = subprocess.check_output(cmd, stderr=stderr) return output.decode('UTF-8').strip() def cygpath(path): """Convert path from posix to windows.""" return os.path.abspath(path).replace('\\', '/') def get_python_path(environ_cp, python_bin_path): """Get the python site package paths.""" python_paths = [] if environ_cp.get('PYTHONPATH'): python_paths = environ_cp.get('PYTHONPATH').split(':') try: stderr = open(os.devnull, 'wb') library_paths = run_shell([ python_bin_path, '-c', 'import site; print("\\n".join(site.getsitepackages()))' ], stderr=stderr).split('\n') except subprocess.CalledProcessError: library_paths = [ run_shell([ python_bin_path, '-c', 'from distutils.sysconfig import get_python_lib;' 'print(get_python_lib())' ]) ] all_paths = set(python_paths + library_paths) # Sort set so order is deterministic all_paths = sorted(all_paths) paths = [] for path in all_paths: if os.path.isdir(path): paths.append(path) return paths def get_python_major_version(python_bin_path): """Get the python major version.""" return run_shell([python_bin_path, '-c', 'import sys; print(sys.version[0])']) def setup_python(environ_cp): """Setup python related env variables.""" # Get PYTHON_BIN_PATH, default is the current running python. default_python_bin_path = sys.executable ask_python_bin_path = ('Please specify the location of python. [Default is ' '{}]: ').format(default_python_bin_path) while True: python_bin_path = get_from_env_or_user_or_default(environ_cp, 'PYTHON_BIN_PATH', ask_python_bin_path, default_python_bin_path) # Check if the path is valid if os.path.isfile(python_bin_path) and os.access(python_bin_path, os.X_OK): break elif not os.path.exists(python_bin_path): print('Invalid python path: {} cannot be found.'.format(python_bin_path)) else: print('{} is not executable. Is it the python binary?'.format( python_bin_path)) environ_cp['PYTHON_BIN_PATH'] = '' # Convert python path to Windows style before checking lib and version if is_windows() or is_cygwin(): python_bin_path = cygpath(python_bin_path) # Get PYTHON_LIB_PATH python_lib_path = environ_cp.get('PYTHON_LIB_PATH') if not python_lib_path: python_lib_paths = get_python_path(environ_cp, python_bin_path) if environ_cp.get('USE_DEFAULT_PYTHON_LIB_PATH') == '1': python_lib_path = python_lib_paths[0] else: print('Found possible Python library paths:\n %s' % '\n '.join(python_lib_paths)) default_python_lib_path = python_lib_paths[0] python_lib_path = get_input( 'Please input the desired Python library path to use. ' 'Default is [{}]\n'.format(python_lib_paths[0])) if not python_lib_path: python_lib_path = default_python_lib_path environ_cp['PYTHON_LIB_PATH'] = python_lib_path python_major_version = get_python_major_version(python_bin_path) if python_major_version == '2': write_to_bazelrc('build --host_force_python=PY2') # Convert python path to Windows style before writing into bazel.rc if is_windows() or is_cygwin(): python_lib_path = cygpath(python_lib_path) # Set-up env variables used by python_configure.bzl write_action_env_to_bazelrc('PYTHON_BIN_PATH', python_bin_path) write_action_env_to_bazelrc('PYTHON_LIB_PATH', python_lib_path) write_to_bazelrc('build --python_path=\"{}"'.format(python_bin_path)) environ_cp['PYTHON_BIN_PATH'] = python_bin_path # If choosen python_lib_path is from a path specified in the PYTHONPATH # variable, need to tell bazel to include PYTHONPATH if environ_cp.get('PYTHONPATH'): python_paths = environ_cp.get('PYTHONPATH').split(':') if python_lib_path in python_paths: write_action_env_to_bazelrc('PYTHONPATH', environ_cp.get('PYTHONPATH')) # Write tools/python_bin_path.sh with open( os.path.join(_TF_WORKSPACE_ROOT, 'tools', 'python_bin_path.sh'), 'w') as f: f.write('export PYTHON_BIN_PATH="{}"'.format(python_bin_path)) def reset_tf_configure_bazelrc(): """Reset file that contains customized config settings.""" open(_TF_BAZELRC, 'w').close() def cleanup_makefile(): """Delete any leftover BUILD files from the Makefile build. These files could interfere with Bazel parsing. """ makefile_download_dir = os.path.join(_TF_WORKSPACE_ROOT, 'tensorflow', 'contrib', 'makefile', 'downloads') if os.path.isdir(makefile_download_dir): for root, _, filenames in os.walk(makefile_download_dir): for f in filenames: if f.endswith('BUILD'): os.remove(os.path.join(root, f)) def get_var(environ_cp, var_name, query_item, enabled_by_default, question=None, yes_reply=None, no_reply=None): """Get boolean input from user. If var_name is not set in env, ask user to enable query_item or not. If the response is empty, use the default. Args: environ_cp: copy of the os.environ. var_name: string for name of environment variable, e.g. "TF_NEED_CUDA". query_item: string for feature related to the variable, e.g. "CUDA for Nvidia GPUs". enabled_by_default: boolean for default behavior. question: optional string for how to ask for user input. yes_reply: optional string for reply when feature is enabled. no_reply: optional string for reply when feature is disabled. Returns: boolean value of the variable. Raises: UserInputError: if an environment variable is set, but it cannot be interpreted as a boolean indicator, assume that the user has made a scripting error, and will continue to provide invalid input. Raise the error to avoid infinitely looping. """ if not question: question = 'Do you wish to build TensorFlow with {} support?'.format( query_item) if not yes_reply: yes_reply = '{} support will be enabled for TensorFlow.'.format(query_item) if not no_reply: no_reply = 'No {}'.format(yes_reply) yes_reply += '\n' no_reply += '\n' if enabled_by_default: question += ' [Y/n]: ' else: question += ' [y/N]: ' var = environ_cp.get(var_name) if var is not None: var_content = var.strip().lower() true_strings = ('1', 't', 'true', 'y', 'yes') false_strings = ('0', 'f', 'false', 'n', 'no') if var_content in true_strings: var = True elif var_content in false_strings: var = False else: raise UserInputError( 'Environment variable %s must be set as a boolean indicator.\n' 'The following are accepted as TRUE : %s.\n' 'The following are accepted as FALSE: %s.\n' 'Current value is %s.' % (var_name, ', '.join(true_strings), ', '.join(false_strings), var)) while var is None: user_input_origin = get_input(question) user_input = user_input_origin.strip().lower() if user_input == 'y': print(yes_reply) var = True elif user_input == 'n': print(no_reply) var = False elif not user_input: if enabled_by_default: print(yes_reply) var = True else: print(no_reply) var = False else: print('Invalid selection: {}'.format(user_input_origin)) return var def set_build_var(environ_cp, var_name, query_item, option_name, enabled_by_default, bazel_config_name=None): """Set if query_item will be enabled for the build. Ask user if query_item will be enabled. Default is used if no input is given. Set subprocess environment variable and write to .bazelrc if enabled. Args: environ_cp: copy of the os.environ. var_name: string for name of environment variable, e.g. "TF_NEED_CUDA". query_item: string for feature related to the variable, e.g. "CUDA for Nvidia GPUs". option_name: string for option to define in .bazelrc. enabled_by_default: boolean for default behavior. bazel_config_name: Name for Bazel --config argument to enable build feature. """ var = str(int(get_var(environ_cp, var_name, query_item, enabled_by_default))) environ_cp[var_name] = var if var == '1': write_to_bazelrc('build:%s --define %s=true' % (bazel_config_name, option_name)) write_to_bazelrc('build --config=%s' % bazel_config_name) elif bazel_config_name is not None: # TODO(mikecase): Migrate all users of configure.py to use --config Bazel # options and not to set build configs through environment variables. write_to_bazelrc('build:%s --define %s=true' % (bazel_config_name, option_name)) def set_action_env_var(environ_cp, var_name, query_item, enabled_by_default, question=None, yes_reply=None, no_reply=None, bazel_config_name=None): """Set boolean action_env variable. Ask user if query_item will be enabled. Default is used if no input is given. Set environment variable and write to .bazelrc. Args: environ_cp: copy of the os.environ. var_name: string for name of environment variable, e.g. "TF_NEED_CUDA". query_item: string for feature related to the variable, e.g. "CUDA for Nvidia GPUs". enabled_by_default: boolean for default behavior. question: optional string for how to ask for user input. yes_reply: optional string for reply when feature is enabled. no_reply: optional string for reply when feature is disabled. bazel_config_name: adding config to .bazelrc instead of action_env. """ var = int( get_var(environ_cp, var_name, query_item, enabled_by_default, question, yes_reply, no_reply)) if not bazel_config_name: write_action_env_to_bazelrc(var_name, var) elif var: write_to_bazelrc('build --config=%s' % bazel_config_name) environ_cp[var_name] = str(var) def convert_version_to_int(version): """Convert a version number to a integer that can be used to compare. Version strings of the form X.YZ and X.Y.Z-xxxxx are supported. The 'xxxxx' part, for instance 'homebrew' on OS/X, is ignored. Args: version: a version to be converted Returns: An integer if converted successfully, otherwise return None. """ version = version.split('-')[0] version_segments = version.split('.') # Treat "0.24" as "0.24.0" if len(version_segments) == 2: version_segments.append('0') for seg in version_segments: if not seg.isdigit(): return None version_str = ''.join(['%03d' % int(seg) for seg in version_segments]) return int(version_str) def check_bazel_version(min_version, max_version): """Check installed bazel version is between min_version and max_version. Args: min_version: string for minimum bazel version (must exist!). max_version: string for maximum bazel version (must exist!). Returns: The bazel version detected. """ bazel_executable = which('bazel') if bazel_executable is None: print('Cannot find bazel. Please install bazel.') sys.exit(1) stderr = open(os.devnull, 'wb') curr_version = run_shell([bazel_executable, '--version'], allow_non_zero=True, stderr=stderr) if curr_version.startswith('bazel '): curr_version = curr_version.split('bazel ')[1] min_version_int = convert_version_to_int(min_version) curr_version_int = convert_version_to_int(curr_version) max_version_int = convert_version_to_int(max_version) # Check if current bazel version can be detected properly. if not curr_version_int: print('WARNING: current bazel installation is not a release version.') print('Make sure you are running at least bazel %s' % min_version) return curr_version print('You have bazel %s installed.' % curr_version) if curr_version_int < min_version_int: print('Please upgrade your bazel installation to version %s or higher to ' 'build TensorFlow!' % min_version) sys.exit(1) if (curr_version_int > max_version_int and 'TF_IGNORE_MAX_BAZEL_VERSION' not in os.environ): print('Please downgrade your bazel installation to version %s or lower to ' 'build TensorFlow! To downgrade: download the installer for the old ' 'version (from https://github.com/bazelbuild/bazel/releases) then ' 'run the installer.' % max_version) sys.exit(1) return curr_version def set_cc_opt_flags(environ_cp): """Set up architecture-dependent optimization flags. Also append CC optimization flags to bazel.rc.. Args: environ_cp: copy of the os.environ. """ if is_ppc64le(): # gcc on ppc64le does not support -march, use mcpu instead default_cc_opt_flags = '-mcpu=native' elif is_windows(): default_cc_opt_flags = '/arch:AVX' else: # On all other platforms, no longer use `-march=native` as this can result # in instructions that are too modern being generated. Users that want # maximum performance should compile TF in their environment and can pass # `-march=native` there. # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates default_cc_opt_flags = '-Wno-sign-compare' question = ('Please specify optimization flags to use during compilation when' ' bazel option "--config=opt" is specified [Default is %s]: ' ) % default_cc_opt_flags cc_opt_flags = get_from_env_or_user_or_default(environ_cp, 'CC_OPT_FLAGS', question, default_cc_opt_flags) for opt in cc_opt_flags.split(): write_to_bazelrc('build:opt --copt=%s' % opt) write_to_bazelrc('build:opt --host_copt=%s' % opt) def set_tf_cuda_clang(environ_cp): """set TF_CUDA_CLANG action_env. Args: environ_cp: copy of the os.environ. """ question = 'Do you want to use clang as CUDA compiler?' yes_reply = 'Clang will be used as CUDA compiler.' no_reply = 'nvcc will be used as CUDA compiler.' set_action_env_var( environ_cp, 'TF_CUDA_CLANG', None, False, question=question, yes_reply=yes_reply, no_reply=no_reply, bazel_config_name='cuda_clang') def set_tf_download_clang(environ_cp): """Set TF_DOWNLOAD_CLANG action_env.""" question = 'Do you wish to download a fresh release of clang? (Experimental)' yes_reply = 'Clang will be downloaded and used to compile tensorflow.' no_reply = 'Clang will not be downloaded.' set_action_env_var( environ_cp, 'TF_DOWNLOAD_CLANG', None, False, question=question, yes_reply=yes_reply, no_reply=no_reply, bazel_config_name='download_clang') def get_from_env_or_user_or_default(environ_cp, var_name, ask_for_var, var_default): """Get var_name either from env, or user or default. If var_name has been set as environment variable, use the preset value, else ask for user input. If no input is provided, the default is used. Args: environ_cp: copy of the os.environ. var_name: string for name of environment variable, e.g. "TF_NEED_CUDA". ask_for_var: string for how to ask for user input. var_default: default value string. Returns: string value for var_name """ var = environ_cp.get(var_name) if not var: var = get_input(ask_for_var) print('\n') if not var: var = var_default return var def set_clang_cuda_compiler_path(environ_cp): """Set CLANG_CUDA_COMPILER_PATH.""" default_clang_path = which('clang') or '' ask_clang_path = ('Please specify which clang should be used as device and ' 'host compiler. [Default is %s]: ') % default_clang_path while True: clang_cuda_compiler_path = get_from_env_or_user_or_default( environ_cp, 'CLANG_CUDA_COMPILER_PATH', ask_clang_path, default_clang_path) if os.path.exists(clang_cuda_compiler_path): break # Reset and retry print('Invalid clang path: %s cannot be found.' % clang_cuda_compiler_path) environ_cp['CLANG_CUDA_COMPILER_PATH'] = '' # Set CLANG_CUDA_COMPILER_PATH environ_cp['CLANG_CUDA_COMPILER_PATH'] = clang_cuda_compiler_path write_action_env_to_bazelrc('CLANG_CUDA_COMPILER_PATH', clang_cuda_compiler_path) def prompt_loop_or_load_from_env(environ_cp, var_name, var_default, ask_for_var, check_success, error_msg, suppress_default_error=False, resolve_symlinks=False, n_ask_attempts=_DEFAULT_PROMPT_ASK_ATTEMPTS): """Loop over user prompts for an ENV param until receiving a valid response. For the env param var_name, read from the environment or verify user input until receiving valid input. When done, set var_name in the environ_cp to its new value. Args: environ_cp: (Dict) copy of the os.environ. var_name: (String) string for name of environment variable, e.g. "TF_MYVAR". var_default: (String) default value string. ask_for_var: (String) string for how to ask for user input. check_success: (Function) function that takes one argument and returns a boolean. Should return True if the value provided is considered valid. May contain a complex error message if error_msg does not provide enough information. In that case, set suppress_default_error to True. error_msg: (String) String with one and only one '%s'. Formatted with each invalid response upon check_success(input) failure. suppress_default_error: (Bool) Suppress the above error message in favor of one from the check_success function. resolve_symlinks: (Bool) Translate symbolic links into the real filepath. n_ask_attempts: (Integer) Number of times to query for valid input before raising an error and quitting. Returns: [String] The value of var_name after querying for input. Raises: UserInputError: if a query has been attempted n_ask_attempts times without success, assume that the user has made a scripting error, and will continue to provide invalid input. Raise the error to avoid infinitely looping. """ default = environ_cp.get(var_name) or var_default full_query = '%s [Default is %s]: ' % ( ask_for_var, default, ) for _ in range(n_ask_attempts): val = get_from_env_or_user_or_default(environ_cp, var_name, full_query, default) if check_success(val): break if not suppress_default_error: print(error_msg % val) environ_cp[var_name] = '' else: raise UserInputError('Invalid %s setting was provided %d times in a row. ' 'Assuming to be a scripting mistake.' % (var_name, n_ask_attempts)) if resolve_symlinks and os.path.islink(val): val = os.path.realpath(val) environ_cp[var_name] = val return val def create_android_ndk_rule(environ_cp): """Set ANDROID_NDK_HOME and write Android NDK WORKSPACE rule.""" if is_windows() or is_cygwin(): default_ndk_path = cygpath('%s/Android/Sdk/ndk-bundle' % environ_cp['APPDATA']) elif is_macos(): default_ndk_path = '%s/library/Android/Sdk/ndk-bundle' % environ_cp['HOME'] else: default_ndk_path = '%s/Android/Sdk/ndk-bundle' % environ_cp['HOME'] def valid_ndk_path(path): return (os.path.exists(path) and os.path.exists(os.path.join(path, 'source.properties'))) android_ndk_home_path = prompt_loop_or_load_from_env( environ_cp, var_name='ANDROID_NDK_HOME', var_default=default_ndk_path, ask_for_var='Please specify the home path of the Android NDK to use.', check_success=valid_ndk_path, error_msg=('The path %s or its child file "source.properties" ' 'does not exist.')) write_action_env_to_bazelrc('ANDROID_NDK_HOME', android_ndk_home_path) write_action_env_to_bazelrc( 'ANDROID_NDK_API_LEVEL', get_ndk_api_level(environ_cp, android_ndk_home_path)) def create_android_sdk_rule(environ_cp): """Set Android variables and write Android SDK WORKSPACE rule.""" if is_windows() or is_cygwin(): default_sdk_path = cygpath('%s/Android/Sdk' % environ_cp['APPDATA']) elif is_macos(): default_sdk_path = '%s/library/Android/Sdk' % environ_cp['HOME'] else: default_sdk_path = '%s/Android/Sdk' % environ_cp['HOME'] def valid_sdk_path(path): return (os.path.exists(path) and os.path.exists(os.path.join(path, 'platforms')) and os.path.exists(os.path.join(path, 'build-tools'))) android_sdk_home_path = prompt_loop_or_load_from_env( environ_cp, var_name='ANDROID_SDK_HOME', var_default=default_sdk_path, ask_for_var='Please specify the home path of the Android SDK to use.', check_success=valid_sdk_path, error_msg=('Either %s does not exist, or it does not contain the ' 'subdirectories "platforms" and "build-tools".')) platforms = os.path.join(android_sdk_home_path, 'platforms') api_levels = sorted(os.listdir(platforms)) api_levels = [x.replace('android-', '') for x in api_levels] def valid_api_level(api_level): return os.path.exists( os.path.join(android_sdk_home_path, 'platforms', 'android-' + api_level)) android_api_level = prompt_loop_or_load_from_env( environ_cp, var_name='ANDROID_API_LEVEL', var_default=api_levels[-1], ask_for_var=('Please specify the Android SDK API level to use. ' '[Available levels: %s]') % api_levels, check_success=valid_api_level, error_msg='Android-%s is not present in the SDK path.') build_tools = os.path.join(android_sdk_home_path, 'build-tools') versions = sorted(os.listdir(build_tools)) def valid_build_tools(version): return os.path.exists( os.path.join(android_sdk_home_path, 'build-tools', version)) android_build_tools_version = prompt_loop_or_load_from_env( environ_cp, var_name='ANDROID_BUILD_TOOLS_VERSION', var_default=versions[-1], ask_for_var=('Please specify an Android build tools version to use. ' '[Available versions: %s]') % versions, check_success=valid_build_tools, error_msg=('The selected SDK does not have build-tools version %s ' 'available.')) write_action_env_to_bazelrc('ANDROID_BUILD_TOOLS_VERSION', android_build_tools_version) write_action_env_to_bazelrc('ANDROID_SDK_API_LEVEL', android_api_level) write_action_env_to_bazelrc('ANDROID_SDK_HOME', android_sdk_home_path) def get_ndk_api_level(environ_cp, android_ndk_home_path): """Gets the appropriate NDK API level to use for the provided Android NDK path.""" # First check to see if we're using a blessed version of the NDK. properties_path = '%s/source.properties' % android_ndk_home_path if is_windows() or is_cygwin(): properties_path = cygpath(properties_path) with open(properties_path, 'r') as f: filedata = f.read() revision = re.search(r'Pkg.Revision = (\d+)', filedata) if revision: ndk_version = revision.group(1) else: raise Exception('Unable to parse NDK revision.') if int(ndk_version) not in _SUPPORTED_ANDROID_NDK_VERSIONS: print('WARNING: The NDK version in %s is %s, which is not ' 'supported by Bazel (officially supported versions: %s). Please use ' 'another version. Compiling Android targets may result in confusing ' 'errors.\n' % (android_ndk_home_path, ndk_version, _SUPPORTED_ANDROID_NDK_VERSIONS)) # Now grab the NDK API level to use. Note that this is different from the # SDK API level, as the NDK API level is effectively the *min* target SDK # version. platforms = os.path.join(android_ndk_home_path, 'platforms') api_levels = sorted(os.listdir(platforms)) api_levels = [ x.replace('android-', '') for x in api_levels if 'android-' in x ] def valid_api_level(api_level): return os.path.exists( os.path.join(android_ndk_home_path, 'platforms', 'android-' + api_level)) android_ndk_api_level = prompt_loop_or_load_from_env( environ_cp, var_name='ANDROID_NDK_API_LEVEL', var_default='21', # 21 is required for ARM64 support. ask_for_var=('Please specify the (min) Android NDK API level to use. ' '[Available levels: %s]') % api_levels, check_success=valid_api_level, error_msg='Android-%s is not present in the NDK path.') return android_ndk_api_level def set_gcc_host_compiler_path(environ_cp): """Set GCC_HOST_COMPILER_PATH.""" default_gcc_host_compiler_path = which('gcc') or '' cuda_bin_symlink = '%s/bin/gcc' % environ_cp.get('CUDA_TOOLKIT_PATH') if os.path.islink(cuda_bin_symlink): # os.readlink is only available in linux default_gcc_host_compiler_path = os.path.realpath(cuda_bin_symlink) gcc_host_compiler_path = prompt_loop_or_load_from_env( environ_cp, var_name='GCC_HOST_COMPILER_PATH', var_default=default_gcc_host_compiler_path, ask_for_var='Please specify which gcc should be used by nvcc as the host ' 'compiler.', check_success=os.path.exists, resolve_symlinks=True, error_msg='Invalid gcc path. %s cannot be found.', ) write_action_env_to_bazelrc('GCC_HOST_COMPILER_PATH', gcc_host_compiler_path) def reformat_version_sequence(version_str, sequence_count): """Reformat the version string to have the given number of sequences. For example: Given (7, 2) -> 7.0 (7.0.1, 2) -> 7.0 (5, 1) -> 5 (5.0.3.2, 1) -> 5 Args: version_str: String, the version string. sequence_count: int, an integer. Returns: string, reformatted version string. """ v = version_str.split('.') if len(v) < sequence_count: v = v + (['0'] * (sequence_count - len(v))) return '.'.join(v[:sequence_count]) def set_tf_cuda_paths(environ_cp): """Set TF_CUDA_PATHS.""" ask_cuda_paths = ( 'Please specify the comma-separated list of base paths to look for CUDA ' 'libraries and headers. [Leave empty to use the default]: ') tf_cuda_paths = get_from_env_or_user_or_default(environ_cp, 'TF_CUDA_PATHS', ask_cuda_paths, '') if tf_cuda_paths: environ_cp['TF_CUDA_PATHS'] = tf_cuda_paths def set_tf_cuda_version(environ_cp): """Set TF_CUDA_VERSION.""" ask_cuda_version = ( 'Please specify the CUDA SDK version you want to use. ' '[Leave empty to default to CUDA %s]: ') % _DEFAULT_CUDA_VERSION tf_cuda_version = get_from_env_or_user_or_default(environ_cp, 'TF_CUDA_VERSION', ask_cuda_version, _DEFAULT_CUDA_VERSION) environ_cp['TF_CUDA_VERSION'] = tf_cuda_version def set_tf_cudnn_version(environ_cp): """Set TF_CUDNN_VERSION.""" ask_cudnn_version = ( 'Please specify the cuDNN version you want to use. ' '[Leave empty to default to cuDNN %s]: ') % _DEFAULT_CUDNN_VERSION tf_cudnn_version = get_from_env_or_user_or_default(environ_cp, 'TF_CUDNN_VERSION', ask_cudnn_version, _DEFAULT_CUDNN_VERSION) environ_cp['TF_CUDNN_VERSION'] = tf_cudnn_version def is_cuda_compatible(lib, cuda_ver, cudnn_ver): """Check compatibility between given library and cudnn/cudart libraries.""" ldd_bin = which('ldd') or '/usr/bin/ldd' ldd_out = run_shell([ldd_bin, lib], True) ldd_out = ldd_out.split(os.linesep) cudnn_pattern = re.compile('.*libcudnn.so\\.?(.*) =>.*$') cuda_pattern = re.compile('.*libcudart.so\\.?(.*) =>.*$') cudnn = None cudart = None cudnn_ok = True # assume no cudnn dependency by default cuda_ok = True # assume no cuda dependency by default for line in ldd_out: if 'libcudnn.so' in line: cudnn = cudnn_pattern.search(line) cudnn_ok = False elif 'libcudart.so' in line: cudart = cuda_pattern.search(line) cuda_ok = False if cudnn and len(cudnn.group(1)): cudnn = convert_version_to_int(cudnn.group(1)) if cudart and len(cudart.group(1)): cudart = convert_version_to_int(cudart.group(1)) if cudnn is not None: cudnn_ok = (cudnn == cudnn_ver) if cudart is not None: cuda_ok = (cudart == cuda_ver) return cudnn_ok and cuda_ok def set_tf_tensorrt_version(environ_cp): """Set TF_TENSORRT_VERSION.""" if not is_linux(): raise ValueError('Currently TensorRT is only supported on Linux platform.') if not int(environ_cp.get('TF_NEED_TENSORRT', False)): return ask_tensorrt_version = ( 'Please specify the TensorRT version you want to use. ' '[Leave empty to default to TensorRT %s]: ') % _DEFAULT_TENSORRT_VERSION tf_tensorrt_version = get_from_env_or_user_or_default( environ_cp, 'TF_TENSORRT_VERSION', ask_tensorrt_version, _DEFAULT_TENSORRT_VERSION) environ_cp['TF_TENSORRT_VERSION'] = tf_tensorrt_version def set_tf_nccl_version(environ_cp): """Set TF_NCCL_VERSION.""" if not is_linux(): raise ValueError('Currently NCCL is only supported on Linux platform.') if 'TF_NCCL_VERSION' in environ_cp: return ask_nccl_version = ( 'Please specify the locally installed NCCL version you want to use. ' '[Leave empty to use http://github.com/nvidia/nccl]: ') tf_nccl_version = get_from_env_or_user_or_default(environ_cp, 'TF_NCCL_VERSION', ask_nccl_version, '') environ_cp['TF_NCCL_VERSION'] = tf_nccl_version def get_native_cuda_compute_capabilities(environ_cp): """Get native cuda compute capabilities. Args: environ_cp: copy of the os.environ. Returns: string of native cuda compute capabilities, separated by comma. """ device_query_bin = os.path.join( environ_cp.get('CUDA_TOOLKIT_PATH'), 'extras/demo_suite/deviceQuery') if os.path.isfile(device_query_bin) and os.access(device_query_bin, os.X_OK): try: output = run_shell(device_query_bin).split('\n') pattern = re.compile('[0-9]*\\.[0-9]*') output = [pattern.search(x) for x in output if 'Capability' in x] output = ','.join(x.group() for x in output if x is not None) except subprocess.CalledProcessError: output = '' else: output = '' |
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