tensorflow/configure.py at master · SciSharp/tensorflow · GitHub

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# 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."""

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function

import argparse

import errno

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]

_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 = '3.1.0'

_TF_MAX_BAZEL_VERSION = '3.99.0'

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/experimental/ios/BUILD',

'tensorflow/lite/experimental/objc/BUILD',

'tensorflow/lite/experimental/swift/BUILD',

'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'

]

# List of files to move when building for iOS.

IOS_FILES = [

'tensorflow/lite/experimental/objc/TensorFlowLiteObjC.podspec',

'tensorflow/lite/experimental/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:

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)

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.

"""

if which('bazel') is None:

print('Cannot find bazel. Please install bazel.')

sys.exit(1)

stderr = open(os.devnull, 'wb')

curr_version = run_shell(['bazel', '--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:

default_cc_opt_flags = '-march=native -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)

# It should be safe on the same build host.

if not is_ppc64le() and not is_windows():

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.

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 = ''

return output

def set_tf_cuda_compute_capabilities(environ_cp):

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