[英]Argparse in iPython notebook: unrecognized arguments: -f
I am trying to pass a .py
file to ipython notebook environment.我正在尝试将
.py
文件传递给 ipython 笔记本环境。 I have never had to deal directly with argparse before.我以前从来没有直接处理过 argparse。 How do I rewrite the
main()
function?如何重写
main()
函数?
I tried to delete the line of def main():
and keep the rest of the code.我试图删除
def main():
并保留其余代码。
But args = parser.parse_args()
" returned an error:但是
args = parser.parse_args()
" 返回了一个错误:
ipykernel_launcher.py: error: unrecognized arguments: -f.
ipykernel_launcher.py:错误:无法识别的参数:-f。
And when I run .当我跑 . %tb: showing this
%tb:显示这个
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', type=str, default='data/tinyshakespeare',
help='data directory containing input.txt')
parser.add_argument('--input_encoding', type=str, default=None,
help='character encoding of input.txt, from https://docs.python.org/3/library/codecs.html#standard-encodings')
parser.add_argument('--log_dir', type=str, default='logs',
help='directory containing tensorboard logs')
parser.add_argument('--save_dir', type=str, default='save',
help='directory to store checkpointed models')
parser.add_argument('--rnn_size', type=int, default=256,
help='size of RNN hidden state')
parser.add_argument('--num_layers', type=int, default=2,
help='number of layers in the RNN')
parser.add_argument('--model', type=str, default='lstm',
help='rnn, gru, or lstm')
parser.add_argument('--batch_size', type=int, default=50,
help='minibatch size')
parser.add_argument('--seq_length', type=int, default=25,
help='RNN sequence length')
parser.add_argument('--num_epochs', type=int, default=50,
help='number of epochs')
parser.add_argument('--save_every', type=int, default=1000,
help='save frequency')
parser.add_argument('--grad_clip', type=float, default=5.,
help='clip gradients at this value')
parser.add_argument('--learning_rate', type=float, default=0.002,
help='learning rate')
parser.add_argument('--decay_rate', type=float, default=0.97,
help='decay rate for rmsprop')
parser.add_argument('--gpu_mem', type=float, default=0.666,
help='%% of gpu memory to be allocated to this process. Default is 66.6%%')
parser.add_argument('--init_from', type=str, default=None,
help="""continue training from saved model at this path. Path must contain files saved by previous training process:
'config.pkl' : configuration;
'words_vocab.pkl' : vocabulary definitions;
'checkpoint' : paths to model file(s) (created by tf).
Note: this file contains absolute paths, be careful when moving files around;
'model.ckpt-*' : file(s) with model definition (created by tf)
""")
args = parser.parse_args()
train(args)
您可以尝试args = parser.parse_args(args=[])
。
It's better to use @nbro 's answer for Jupyter execution.最好使用 @nbro 对 Jupyter 执行的回答。
args = parser.parse_args(args=[])
If you want to manage parameters as class format, you can try this.如果你想以类格式管理参数,你可以试试这个。 http://35.192.144.192:8000/arg2cls.html
http://35.192.144.192:8000/arg2cls.html
class Args:
data = './data/penn'
model = 'LSTM'
emsize = 200
nhid = 200
args=Args()
As @nbro suggested, the following command should work:正如@nbro 所建议的,以下命令应该可以工作:
args = parser.parse_args(args=[])
In addition, if you have required arguments in your parser, set them inside the list:此外,如果您的解析器中有必需的参数,请将它们设置在列表中:
args = parser.parse_args(args=['--req_1', '10', '--req_2', '10'])
Where you previously used:您以前使用过的地方:
import argparse
parser = argparse.ArgumentParser(description="Dummy parser")
parser.add_argument("--req_1", type=int, required=True, help="required int 1")
parser.add_argument("--req_2", type=int, required=True, help="required int 2")
You can also see from the notebook all params:您还可以从笔记本中看到所有参数:
print("see all args:", args)
print("use one arg:", args.req_1)
You can find more information in the docs: Parsing arguments您可以在文档中找到更多信息: 解析参数
An example is:一个例子是:
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('echo')
args = parser.parse_args(['aa']) # actually you don't have to write (args=['aa'])
print(args.echo)
the output should be输出应该是
>>> aa
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