diff options
Diffstat (limited to 'configure.py')
| -rw-r--r-- | configure.py | 283 |
1 files changed, 158 insertions, 125 deletions
diff --git a/configure.py b/configure.py index 8f1957e870..2de2365ff3 100644 --- a/configure.py +++ b/configure.py @@ -41,7 +41,6 @@ _DEFAULT_CUDA_PATH = '/usr/local/cuda' _DEFAULT_CUDA_PATH_LINUX = '/opt/cuda' _DEFAULT_CUDA_PATH_WIN = ('C:/Program Files/NVIDIA GPU Computing ' 'Toolkit/CUDA/v%s' % _DEFAULT_CUDA_VERSION) -_DEFAULT_TENSORRT_PATH_LINUX = '/usr/lib/%s-linux-gnu' % platform.machine() _TF_OPENCL_VERSION = '1.2' _DEFAULT_COMPUTECPP_TOOLKIT_PATH = '/usr/local/computecpp' _DEFAULT_TRISYCL_INCLUDE_DIR = '/usr/local/triSYCL/include' @@ -49,10 +48,14 @@ _SUPPORTED_ANDROID_NDK_VERSIONS = [10, 11, 12, 13, 14, 15, 16] _DEFAULT_PROMPT_ASK_ATTEMPTS = 10 -_TF_WORKSPACE_ROOT = os.path.abspath(os.path.dirname(__file__)) _TF_BAZELRC_FILENAME = '.tf_configure.bazelrc' -_TF_BAZELRC = os.path.join(_TF_WORKSPACE_ROOT, _TF_BAZELRC_FILENAME) -_TF_WORKSPACE = os.path.join(_TF_WORKSPACE_ROOT, 'WORKSPACE') +_TF_WORKSPACE_ROOT = '' +_TF_BAZELRC = '' + +if platform.machine() == 'ppc64le': + _DEFAULT_TENSORRT_PATH_LINUX = '/usr/lib/powerpc64le-linux-gnu/' +else: + _DEFAULT_TENSORRT_PATH_LINUX = '/usr/lib/%s-linux-gnu' % platform.machine() class UserInputError(Exception): @@ -153,14 +156,18 @@ def get_python_path(environ_cp, python_bin_path): if environ_cp.get('PYTHONPATH'): python_paths = environ_cp.get('PYTHONPATH').split(':') try: - library_paths = run_shell( - [python_bin_path, '-c', - 'import site; print("\\n".join(site.getsitepackages()))']).split('\n') + library_paths = run_shell([ + python_bin_path, '-c', + 'import site; print("\\n".join(site.getsitepackages()))' + ]).split('\n') except subprocess.CalledProcessError: - library_paths = [run_shell( - [python_bin_path, '-c', - 'from distutils.sysconfig import get_python_lib;' - 'print(get_python_lib())'])] + 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) @@ -187,8 +194,7 @@ def setup_python(environ_cp): 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): + 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: %s cannot be found.' % python_bin_path) @@ -217,7 +223,7 @@ def setup_python(environ_cp): 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) + _ = get_python_major_version(python_bin_path) # Convert python path to Windows style before writing into bazel.rc if is_windows() or is_cygwin(): @@ -230,15 +236,16 @@ def setup_python(environ_cp): environ_cp['PYTHON_BIN_PATH'] = python_bin_path # Write tools/python_bin_path.sh - with open(os.path.join( - _TF_WORKSPACE_ROOT, 'tools', 'python_bin_path.sh'), 'w') as f: + with open( + os.path.join(_TF_WORKSPACE_ROOT, 'tools', 'python_bin_path.sh'), + 'w') as f: f.write('export PYTHON_BIN_PATH="%s"' % python_bin_path) -def reset_tf_configure_bazelrc(workspace_path): +def reset_tf_configure_bazelrc(): """Reset file that contains customized config settings.""" open(_TF_BAZELRC, 'w').close() - bazelrc_path = os.path.join(workspace_path, '.bazelrc') + bazelrc_path = os.path.join(_TF_WORKSPACE_ROOT, '.bazelrc') data = [] if os.path.exists(bazelrc_path): @@ -250,7 +257,7 @@ def reset_tf_configure_bazelrc(workspace_path): continue f.write('%s\n' % l) if is_windows(): - tf_bazelrc_path = _TF_BAZELRC.replace("\\", "/") + tf_bazelrc_path = _TF_BAZELRC.replace('\\', '/') else: tf_bazelrc_path = _TF_BAZELRC f.write('import %s\n' % tf_bazelrc_path) @@ -261,8 +268,8 @@ def cleanup_makefile(): These files could interfere with Bazel parsing. """ - makefile_download_dir = os.path.join( - _TF_WORKSPACE_ROOT, 'tensorflow', 'contrib', 'makefile', 'downloads') + 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: @@ -330,9 +337,8 @@ def get_var(environ_cp, '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)) + 'Current value is %s.' % (var_name, ', '.join(true_strings), + ', '.join(false_strings), var)) while var is None: user_input_origin = get_input(question) @@ -355,8 +361,12 @@ def get_var(environ_cp, return var -def set_build_var(environ_cp, var_name, query_item, option_name, - enabled_by_default, bazel_config_name=None): +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. @@ -379,8 +389,8 @@ def set_build_var(environ_cp, var_name, query_item, option_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)) + write_to_bazelrc( + 'build:%s --define %s=true' % (bazel_config_name, option_name)) def set_action_env_var(environ_cp, @@ -447,7 +457,8 @@ def check_bazel_version(min_version): if which('bazel') is None: print('Cannot find bazel. Please install bazel.') sys.exit(0) - curr_version = run_shell(['bazel', '--batch', '--bazelrc=/dev/null', 'version']) + curr_version = run_shell( + ['bazel', '--batch', '--bazelrc=/dev/null', 'version']) for line in curr_version.split('\n'): if 'Build label: ' in line: @@ -499,6 +510,7 @@ def set_cc_opt_flags(environ_cp): write_to_bazelrc('build:opt --host_copt=-march=native') write_to_bazelrc('build:opt --define with_default_optimizations=true') + def set_tf_cuda_clang(environ_cp): """set TF_CUDA_CLANG action_env. @@ -581,16 +593,14 @@ def set_clang_cuda_compiler_path(environ_cp): 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, - n_ask_attempts=_DEFAULT_PROMPT_ASK_ATTEMPTS -): +def prompt_loop_or_load_from_env(environ_cp, + var_name, + var_default, + ask_for_var, + check_success, + error_msg, + suppress_default_error=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 @@ -629,9 +639,7 @@ def prompt_loop_or_load_from_env( ) for _ in range(n_ask_attempts): - val = get_from_env_or_user_or_default(environ_cp, - var_name, - full_query, + val = get_from_env_or_user_or_default(environ_cp, var_name, full_query, default) if check_success(val): break @@ -639,9 +647,9 @@ def prompt_loop_or_load_from_env( 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)) + raise UserInputError( + 'Invalid %s setting was provided %d times in a row. ' + 'Assuming to be a scripting mistake.' % (var_name, n_ask_attempts)) environ_cp[var_name] = val return val @@ -650,8 +658,8 @@ def prompt_loop_or_load_from_env( 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']) + 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: @@ -668,8 +676,7 @@ def create_android_ndk_rule(environ_cp): 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.') - ) + 'does not exist.')) write_action_env_to_bazelrc('ANDROID_NDK_HOME', android_ndk_home_path) write_action_env_to_bazelrc('ANDROID_NDK_API_LEVEL', check_ndk_level(android_ndk_home_path)) @@ -703,9 +710,9 @@ def create_android_sdk_rule(environ_cp): 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)) + 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, @@ -720,9 +727,8 @@ def create_android_sdk_rule(environ_cp): 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)) + 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, @@ -736,10 +742,8 @@ def create_android_sdk_rule(environ_cp): 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) + 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 check_ndk_level(android_ndk_home_path): @@ -798,6 +802,7 @@ def reformat_version_sequence(version_str, sequence_count): Args: version_str: String, the version string. sequence_count: int, an integer. + Returns: string, reformatted version string. """ @@ -841,18 +846,25 @@ def set_tf_cuda_version(environ_cp): if is_windows(): cuda_rt_lib_paths = ['lib/x64/cudart.lib'] elif is_linux(): - cuda_rt_lib_paths = ['%s/libcudart.so.%s' % (x, tf_cuda_version) - for x in ['lib64', 'lib/x86_64-linux-gnu']] + cuda_rt_lib_paths = [ + '%s/libcudart.so.%s' % (x, tf_cuda_version) for x in [ + 'lib64', + 'lib/powerpc64le-linux-gnu', + 'lib/x86_64-linux-gnu', + ] + ] elif is_macos(): cuda_rt_lib_paths = ['lib/libcudart.%s.dylib' % tf_cuda_version] - cuda_toolkit_paths_full = [os.path.join(cuda_toolkit_path, x) for x in cuda_rt_lib_paths] + cuda_toolkit_paths_full = [ + os.path.join(cuda_toolkit_path, x) for x in cuda_rt_lib_paths + ] if any([os.path.exists(x) for x in cuda_toolkit_paths_full]): break # Reset and retry print('Invalid path to CUDA %s toolkit. %s cannot be found' % - (tf_cuda_version, cuda_toolkit_path_full)) + (tf_cuda_version, cuda_toolkit_paths_full)) environ_cp['TF_CUDA_VERSION'] = '' environ_cp['CUDA_TOOLKIT_PATH'] = '' @@ -919,8 +931,8 @@ def set_tf_cudnn_version(environ_cp): cudnn_path_from_ldconfig) if cudnn_path_from_ldconfig: cudnn_path_from_ldconfig = cudnn_path_from_ldconfig.group(1) - if os.path.exists('%s.%s' % (cudnn_path_from_ldconfig, - tf_cudnn_version)): + if os.path.exists( + '%s.%s' % (cudnn_path_from_ldconfig, tf_cudnn_version)): cudnn_install_path = os.path.dirname(cudnn_path_from_ldconfig) break @@ -1029,7 +1041,7 @@ def set_tf_tensorrt_install_path(environ_cp): for lib_file in possible_files: if is_cuda_compatible(lib_file, cuda_ver, cudnn_ver): matches = nvinfer_pattern.search(lib_file) - if len(matches.groups()) == 0: + if not matches.groups(): continue ver_str = matches.group(1) ver = convert_version_to_int(ver_str) if len(ver_str) else 0 @@ -1166,6 +1178,7 @@ def get_native_cuda_compute_capabilities(environ_cp): Args: environ_cp: copy of the os.environ. + Returns: string of native cuda compute capabilities, separated by comma. """ @@ -1290,8 +1303,7 @@ def set_computecpp_toolkit_path(environ_cp): else: sycl_rt_lib_path = '' - sycl_rt_lib_path_full = os.path.join(toolkit_path, - sycl_rt_lib_path) + sycl_rt_lib_path_full = os.path.join(toolkit_path, sycl_rt_lib_path) exists = os.path.exists(sycl_rt_lib_path_full) if not exists: print('Invalid SYCL %s library path. %s cannot be found' % @@ -1319,8 +1331,8 @@ def set_trisycl_include_dir(environ_cp): ask_trisycl_include_dir = ('Please specify the location of the triSYCL ' 'include directory. (Use --config=sycl_trisycl ' 'when building with Bazel) ' - '[Default is %s]: ' - ) % (_DEFAULT_TRISYCL_INCLUDE_DIR) + '[Default is %s]: ') % ( + _DEFAULT_TRISYCL_INCLUDE_DIR) while True: trisycl_include_dir = get_from_env_or_user_or_default( @@ -1329,13 +1341,12 @@ def set_trisycl_include_dir(environ_cp): if os.path.exists(trisycl_include_dir): break - print('Invalid triSYCL include directory, %s cannot be found' - % (trisycl_include_dir)) + print('Invalid triSYCL include directory, %s cannot be found' % + (trisycl_include_dir)) # Set TRISYCL_INCLUDE_DIR environ_cp['TRISYCL_INCLUDE_DIR'] = trisycl_include_dir - write_action_env_to_bazelrc('TRISYCL_INCLUDE_DIR', - trisycl_include_dir) + write_action_env_to_bazelrc('TRISYCL_INCLUDE_DIR', trisycl_include_dir) def set_mpi_home(environ_cp): @@ -1345,8 +1356,9 @@ def set_mpi_home(environ_cp): default_mpi_home = os.path.dirname(os.path.dirname(default_mpi_home)) def valid_mpi_path(mpi_home): - exists = (os.path.exists(os.path.join(mpi_home, 'include')) and - os.path.exists(os.path.join(mpi_home, 'lib'))) + exists = ( + os.path.exists(os.path.join(mpi_home, 'include')) and + os.path.exists(os.path.join(mpi_home, 'lib'))) if not exists: print('Invalid path to the MPI Toolkit. %s or %s cannot be found' % (os.path.join(mpi_home, 'include'), @@ -1395,16 +1407,22 @@ def set_other_mpi_vars(environ_cp): raise ValueError('Cannot find the MPI library file in %s/lib' % mpi_home) -def set_grpc_build_flags(): - write_to_bazelrc('build --define grpc_no_ares=true') - - def set_system_libs_flag(environ_cp): syslibs = environ_cp.get('TF_SYSTEM_LIBS', '') - syslibs = ','.join(sorted(syslibs.split(','))) - if syslibs and syslibs != '': + if syslibs: + if ',' in syslibs: + syslibs = ','.join(sorted(syslibs.split(','))) + else: + syslibs = ','.join(sorted(syslibs.split())) write_action_env_to_bazelrc('TF_SYSTEM_LIBS', syslibs) + if 'PREFIX' in environ_cp: + write_to_bazelrc('build --define=PREFIX=%s' % environ_cp['PREFIX']) + if 'LIBDIR' in environ_cp: + write_to_bazelrc('build --define=LIBDIR=%s' % environ_cp['LIBDIR']) + if 'INCLUDEDIR' in environ_cp: + write_to_bazelrc('build --define=INCLUDEDIR=%s' % environ_cp['INCLUDEDIR']) + def set_windows_build_flags(environ_cp): """Set Windows specific build options.""" @@ -1421,14 +1439,20 @@ def set_windows_build_flags(environ_cp): # TODO(pcloudy): Remove this flag when upgrading Bazel to 0.16.0 # Short object file path will be enabled by default. write_to_bazelrc('build --experimental_shortened_obj_file_path=true') + # When building zip file for some py_binary and py_test targets, don't + # include its dependencies. This is for: + # 1. Running python tests against the system installed TF pip package. + # 2. Avoiding redundant files in + # //tensorflow/tools/pip_package:simple_console_windows, + # which is a py_binary used during creating TF pip package. + # See https://github.com/tensorflow/tensorflow/issues/22390 + write_to_bazelrc('build --define=no_tensorflow_py_deps=true') if get_var( environ_cp, 'TF_OVERRIDE_EIGEN_STRONG_INLINE', 'Eigen strong inline', - True, - ('Would you like to override eigen strong inline for some C++ ' - 'compilation to reduce the compilation time?'), - 'Eigen strong inline overridden.', - 'Not overriding eigen strong inline, ' + True, ('Would you like to override eigen strong inline for some C++ ' + 'compilation to reduce the compilation time?'), + 'Eigen strong inline overridden.', 'Not overriding eigen strong inline, ' 'some compilations could take more than 20 mins.'): # Due to a known MSVC compiler issue # https://github.com/tensorflow/tensorflow/issues/10521 @@ -1444,29 +1468,32 @@ def config_info_line(name, help_text): def main(): + global _TF_WORKSPACE_ROOT + global _TF_BAZELRC + parser = argparse.ArgumentParser() - parser.add_argument("--workspace", - type=str, - default=_TF_WORKSPACE_ROOT, - help="The absolute path to your active Bazel workspace.") + parser.add_argument( + '--workspace', + type=str, + default=os.path.abspath(os.path.dirname(__file__)), + help='The absolute path to your active Bazel workspace.') args = parser.parse_args() + _TF_WORKSPACE_ROOT = args.workspace + _TF_BAZELRC = os.path.join(_TF_WORKSPACE_ROOT, _TF_BAZELRC_FILENAME) + # Make a copy of os.environ to be clear when functions and getting and setting # environment variables. environ_cp = dict(os.environ) check_bazel_version('0.15.0') - reset_tf_configure_bazelrc(args.workspace) + reset_tf_configure_bazelrc() cleanup_makefile() setup_python(environ_cp) if is_windows(): - environ_cp['TF_NEED_AWS'] = '0' - environ_cp['TF_NEED_GCP'] = '0' - environ_cp['TF_NEED_HDFS'] = '0' environ_cp['TF_NEED_JEMALLOC'] = '0' - environ_cp['TF_NEED_KAFKA'] = '0' environ_cp['TF_NEED_OPENCL_SYCL'] = '0' environ_cp['TF_NEED_COMPUTECPP'] = '0' environ_cp['TF_NEED_OPENCL'] = '0' @@ -1476,42 +1503,25 @@ def main(): # Windows. environ_cp['TF_DOWNLOAD_CLANG'] = '0' environ_cp['TF_ENABLE_XLA'] = '0' - environ_cp['TF_NEED_GDR'] = '0' - environ_cp['TF_NEED_VERBS'] = '0' environ_cp['TF_NEED_MPI'] = '0' environ_cp['TF_SET_ANDROID_WORKSPACE'] = '0' if is_macos(): environ_cp['TF_NEED_JEMALLOC'] = '0' environ_cp['TF_NEED_TENSORRT'] = '0' + environ_cp['TF_ENABLE_XLA'] = '0' # The numpy package on ppc64le uses OpenBLAS which has multi-threading # issues that lead to incorrect answers. Set OMP_NUM_THREADS=1 at # runtime to allow the Tensorflow testcases which compare numpy # results to Tensorflow results to succeed. if is_ppc64le(): - write_action_env_to_bazelrc("OMP_NUM_THREADS", 1) - - set_build_var(environ_cp, 'TF_NEED_JEMALLOC', 'jemalloc as malloc', - 'with_jemalloc', True) - set_build_var(environ_cp, 'TF_NEED_GCP', 'Google Cloud Platform', - 'with_gcp_support', True, 'gcp') - set_build_var(environ_cp, 'TF_NEED_HDFS', 'Hadoop File System', - 'with_hdfs_support', True, 'hdfs') - set_build_var(environ_cp, 'TF_NEED_AWS', 'Amazon AWS Platform', - 'with_aws_support', True, 'aws') - set_build_var(environ_cp, 'TF_NEED_KAFKA', 'Apache Kafka Platform', - 'with_kafka_support', True, 'kafka') + write_action_env_to_bazelrc('OMP_NUM_THREADS', 1) + set_build_var(environ_cp, 'TF_NEED_IGNITE', 'Apache Ignite', 'with_ignite_support', True, 'ignite') set_build_var(environ_cp, 'TF_ENABLE_XLA', 'XLA JIT', 'with_xla_support', - False, 'xla') - set_build_var(environ_cp, 'TF_NEED_GDR', 'GDR', 'with_gdr_support', - False, 'gdr') - set_build_var(environ_cp, 'TF_NEED_VERBS', 'VERBS', 'with_verbs_support', - False, 'verbs') - set_build_var(environ_cp, 'TF_NEED_NGRAPH', 'nGraph', - 'with_ngraph_support', False, 'ngraph') + True, 'xla') set_action_env_var(environ_cp, 'TF_NEED_OPENCL_SYCL', 'OpenCL SYCL', False) if environ_cp.get('TF_NEED_OPENCL_SYCL') == '1': @@ -1523,6 +1533,13 @@ def main(): else: set_trisycl_include_dir(environ_cp) + set_action_env_var(environ_cp, 'TF_NEED_ROCM', 'ROCm', False) + if (environ_cp.get('TF_NEED_ROCM') == '1' and + 'LD_LIBRARY_PATH' in environ_cp and + environ_cp.get('LD_LIBRARY_PATH') != '1'): + write_action_env_to_bazelrc('LD_LIBRARY_PATH', + environ_cp.get('LD_LIBRARY_PATH')) + set_action_env_var(environ_cp, 'TF_NEED_CUDA', 'CUDA', False) if (environ_cp.get('TF_NEED_CUDA') == '1' and 'TF_CUDA_CONFIG_REPO' not in environ_cp): @@ -1563,24 +1580,36 @@ def main(): write_to_bazelrc('build --config=download_clang') write_to_bazelrc('test --config=download_clang') + # SYCL / ROCm / CUDA are mutually exclusive. + # At most 1 GPU platform can be configured. + gpu_platform_count = 0 + if environ_cp.get('TF_NEED_OPENCL_SYCL') == '1': + gpu_platform_count += 1 + if environ_cp.get('TF_NEED_ROCM') == '1': + gpu_platform_count += 1 + if environ_cp.get('TF_NEED_CUDA') == '1': + gpu_platform_count += 1 + if gpu_platform_count >= 2: + raise UserInputError('SYCL / CUDA / ROCm are mututally exclusive. ' + 'At most 1 GPU platform can be configured.') + set_build_var(environ_cp, 'TF_NEED_MPI', 'MPI', 'with_mpi_support', False) if environ_cp.get('TF_NEED_MPI') == '1': set_mpi_home(environ_cp) set_other_mpi_vars(environ_cp) - set_grpc_build_flags() set_cc_opt_flags(environ_cp) set_system_libs_flag(environ_cp) if is_windows(): set_windows_build_flags(environ_cp) - if get_var( - environ_cp, 'TF_SET_ANDROID_WORKSPACE', 'android workspace', - False, - ('Would you like to interactively configure ./WORKSPACE for ' - 'Android builds?'), - 'Searching for NDK and SDK installations.', - 'Not configuring the WORKSPACE for Android builds.'): + # Add a config option to build TensorFlow 2.0 API. + write_to_bazelrc('build:v2 --define=tf_api_version=2') + + if get_var(environ_cp, 'TF_SET_ANDROID_WORKSPACE', 'android workspace', False, + ('Would you like to interactively configure ./WORKSPACE for ' + 'Android builds?'), 'Searching for NDK and SDK installations.', + 'Not configuring the WORKSPACE for Android builds.'): create_android_ndk_rule(environ_cp) create_android_sdk_rule(environ_cp) @@ -1593,6 +1622,10 @@ def main(): 'more details.') config_info_line('mkl', 'Build with MKL support.') config_info_line('monolithic', 'Config for mostly static monolithic build.') + config_info_line('gdr', 'Build with GDR support.') + config_info_line('verbs', 'Build with libverbs support.') + config_info_line('ngraph', 'Build with Intel nGraph support.') + if __name__ == '__main__': main() |