When running a python program on the server, it is often necessary to enter additional parameters, or hope that these parameters do not need to be changed directly in the code. It is a good way to use the argparse built-in module.
Steps for usage
It only needs 3 steps to complete:
1. Create an object
parser = argparse.ArgumentParser(description='example')2. Increase the parameters
parser.add_argument('--no-cuda', action='store_true', default=False,
help='disables CUDA training')3, analysis
args = parser.parse_args()
print(args.cuda)Corresponding to argarse, you need to clarify the meaning of the parameters in step 2, beginning with --, indicating optional parameters, if not, you must add them, otherwise an error will be reported.
parser = argparse.ArgumentParser()
parser.add_argument("add", help="display a square of a given number", type=int)
args = parser.parse_args()
print(args.add+2)
Some common usage:
Check if there is a GPU, if there is, turn it on:
parser = argparse.ArgumentParser(description='example')
parser.add_argument('--no-cuda', action='store_true', default=False,
help='disables CUDA training')
args = parser.parse_args()
args.cuda = not args.no_cuda and torch.cuda.is_available()
if args.cuda:
print('\nGPU is ON!')Set the default parameters of the parameters:
parser.add_argument('--var_bag_length', type=int, default=2, metavar='VL',
help='variance of bag length')
--var_bag_length: indicates that the variable name is var_bag_length, which is an optional parameter
type=int: expressed as int type
default=2: means var_bag_length is 2 by default
metavar='VL': Indicates that the usage promotes the user variable to VL
help='variance of bag length': help information