普通に
https://github.com/pfnet/chainer/blob/master/examples/mnist/train_mnist.py
などサンプルpythonファイルをjupyterで実行すると下記のようなエラーが出る.
usage: __main__.py [-h] [--batchsize BATCHSIZE] [--epoch EPOCH] [--gpu GPU]
[--out OUT] [--resume RESUME] [--unit UNIT]
__main__.py: error: unrecognized arguments: -f /run/user/2049/jupyter/kernel-84d4df02-bc59-4802-9d99-c3228bb4e71f.json
An exception has occurred, use %tb to see the full traceback.
SystemExit: 2
/home/mil/watanabe/.pyenv/versions/anaconda3-4.2.0/lib/python3.5/site-packages/IPython/core/interactiveshell.py:2889: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.
warn("To exit: use 'exit', 'quit', or Ctrl-D.", stacklevel=1)
このようにargsまわりでエラーが出る.
そんなときは"easydict"を入れて,
pip install easydict
下記のように変更すれば手っ取り早く試せる.
sample.py
# parser = argparse.ArgumentParser(description='Chainer example: MNIST')
# parser.add_argument('--batchsize', '-b', type=int, default=100,
# help='Number of images in each mini-batch')
# parser.add_argument('--epoch', '-e', type=int, default=20,
# help='Number of sweeps over the dataset to train')
# parser.add_argument('--gpu', '-g', type=int, default=-1,
# help='GPU ID (negative value indicates CPU)')
# parser.add_argument('--out', '-o', default='result',
# help='Directory to output the result')
# parser.add_argument('--resume', '-r', default='',
# help='Resume the training from snapshot')
# parser.add_argument('--unit', '-u', type=int, default=1000,
# help='Number of units')
# args = parser.parse_args()
import easydict
args = easydict.EasyDict({
"batchsize": 100,
"epoch": 20,
"gpu": 0,
"out": "result",
"resume": False,
"unit": 1000
})