如何在PHP中调用Python并获取运行结果_php技巧_

 请输入a:
 请输入b: 计算

import sys a, b = sys.argv[1], sys.argv[2] # 接收位置参数 print(int(a)+int(b))

import argparse parser = argparse.ArgumentParser(description='manual to this script') parser.add_argument('--gpus', type=str, default = None) parser.add_argument('--batch-size', type=int, default=32) args = parser.parse_args() print args.gpus print args.batch_size

python script.py --bool-val=0 # args.bool_val=True python script.py --bool-val=False # args.bool_val=True python script.py --bool-val= # args.bool_val=什么都不写False

import argparse parser = argparse.ArgumentParser(description='a demo of script') parser.add_argument('--a', type=float, default=0.0) # 添加变量 parser.add_argument('--b', type=float, default=1.0) if __name__ == '__main__': args = parser.parse_args() # 解析所有的命令行传入变量 add(args.a, args.b)

python script.py --a=4.0 --b=3.0 # 另一种写法： python script.py --a 4.0 --b 3.0 #　返回结果7.0

python script.py -gpus=0,1,2 --batch_size=10

import tensorflow as tf tf.app.flags.DEFINE_string('gpus', None, 'gpus to use') tf.app.flags.DEFINE_integer('batch_size', 5, 'batch size') FLAGS = tf.app.flags.FLAGS def main(_): print FLAGS.gpus print FLAGS.batch_size if __name__=="__main__": tf.app.run()

run( main=None, argv=None )

# Copyright 2015 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. # ============================================================================== """Implementation of the flags interface.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse as _argparse from tensorflow.python.util.all_util import remove_undocumented _global_parser = _argparse.ArgumentParser() # pylint: disable=invalid-name class _FlagValues(object): """Global container and accessor for flags and their values.""" def __init__(self): self.__dict__['__flags'] = {} self.__dict__['__parsed'] = False def _parse_flags(self, args=None): result, unparsed = _global_parser.parse_known_args(args=args) for flag_name, val in vars(result).items(): self.__dict__['__flags'][flag_name] = val self.__dict__['__parsed'] = True return unparsed def __getattr__(self, name): """Retrieves the 'value' attribute of the flag --name.""" if not self.__dict__['__parsed']: self._parse_flags() if name not in self.__dict__['__flags']: raise AttributeError(name) return self.__dict__['__flags'][name] def __setattr__(self, name, value): """Sets the 'value' attribute of the flag --name.""" if not self.__dict__['__parsed']: self._parse_flags() self.__dict__['__flags'][name] = value def _define_helper(flag_name, default_value, docstring, flagtype): """Registers 'flag_name' with 'default_value' and 'docstring'.""" _global_parser.add_argument('--' + flag_name, default=default_value, help=docstring, type=flagtype) # Provides the global object that can be used to access flags. FLAGS = _FlagValues() def DEFINE_string(flag_name, default_value, docstring): """Defines a flag of type 'string'. Args: flag_name: The name of the flag as a string. default_value: The default value the flag should take as a string. docstring: A helpful message explaining the use of the flag. """ _define_helper(flag_name, default_value, docstring, str) def DEFINE_integer(flag_name, default_value, docstring): """Defines a flag of type 'int'. Args: flag_name: The name of the flag as a string. default_value: The default value the flag should take as an int. docstring: A helpful message explaining the use of the flag. """ _define_helper(flag_name, default_value, docstring, int) def DEFINE_boolean(flag_name, default_value, docstring): """Defines a flag of type 'boolean'. Args: flag_name: The name of the flag as a string. default_value: The default value the flag should take as a boolean. docstring: A helpful message explaining the use of the flag. """ # Register a custom function for 'bool' so --flag=True works. def str2bool(v): return v.lower() in ('true', 't', '1') _global_parser.add_argument('--' + flag_name, nargs='?', const=True, help=docstring, default=default_value, type=str2bool) # Add negated version, stay consistent with argparse with regard to # dashes in flag names. _global_parser.add_argument('--no' + flag_name, action='store_false', dest=flag_name.replace('-', '_')) # The internal google library defines the following alias, so we match # the API for consistency. DEFINE_bool = DEFINE_boolean # pylint: disable=invalid-name def DEFINE_float(flag_name, default_value, docstring): """Defines a flag of type 'float'. Args: flag_name: The name of the flag as a string. default_value: The default value the flag should take as a float. docstring: A helpful message explaining the use of the flag. """ _define_helper(flag_name, default_value, docstring, float) _allowed_symbols = [ # We rely on gflags documentation. 'DEFINE_bool', 'DEFINE_boolean', 'DEFINE_float', 'DEFINE_integer', 'DEFINE_string', 'FLAGS', ] remove_undocumented(
                
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