In many pytorch Written in the AI project , Can see such a sentence ：parser = argparse.ArgumentParser(), This article simply records their usage

Partial content reference ：

https://blog.csdn.net/lizhiyuanbest/article/details/104975848

The way 1— Single parameter

establish a.py：

import argparse

parser = argparse.ArgumentParser()
parser.add_argument("square", help="display a square of a given number", type=int)
args = parser.parse_args()

s = args.square ** 2
print(s)

Command line execution ：

$ python a.py 2
4

The way 2— Multiple parameters

establish b.py：

import argparse

parser = argparse.ArgumentParser()
parser.add_argument("square", help="display a square of a given number", type=int)
parser.add_argument("add1", help="display a sum of two given numbers", type=int)
parser.add_argument("add2", help="display a sum of two given numbers", type=int)
args = parser.parse_args()

s = args.square ** 2
a = args.add1 + args.add2
print(s)
print(a)

Command line execution results ：

$ python b.py 2 10 20
4
30

It can be seen that three integers are assigned to three parameters in order

The way 3— Out of order assignment

establish c.py：

import argparse

parser = argparse.ArgumentParser()
parser.add_argument("--square", help="display a square of a given number", type=int)
parser.add_argument("--add1", help="display a sum of two given numbers", type=int)
parser.add_argument("--add2", help="display a sum of two given numbers", type=int)
args = parser.parse_args()

s = args.square ** 2
a = args.add1 + args.add2
print(s)
print(a)

️ Note that the parameter is preceded by --

Command line operation mode 1：

$ python c.py --square 2 --add1 10 --add2 20
4
30

Command line operation mode 2（ Out of order ）：

$ python c.py --add1 2 --add2 10 --square 20
400
12

knock pytorch It should be enough for students to master these