命令行运行Python脚本时传入参数的三种方式详解

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

import sys
gpus = sys.argv[1]
#gpus = [int(gpus.split(','))]
batch_size = sys.argv[2]
print(gpus, type(gpus))
print(batch_size, type(batch_size))

D:\projects\Pycharm Projects\some-toys\something_else>python argv_test.py 1,0,2 10
1,0,2 <class 'str'>
10 <class 'str'>

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, type(args.gpus))
print(args.batch_size, type(args.batch_size))

D:\projects\Pycharm Projects\some-toys\something_else>python argv_test.py --gpus=0,1,2 --batch-size=20
0,1,2 <class 'str'>
20 <class 'int'>

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

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
)