Reformat parser so it looks nicer

Changes

1 changed files (+20/-19)

• train.py
  • @@ -9,25 +9,26 @@ from model import Model
    parser = ArgumentParser() - parser.add_argument( - '-d', '--device', help='device to train with', default='cpu') - parser.add_argument('-i', '--input', help='training data file', default='data') - parser.add_argument( - '-e', '--epochs', help='number of epochs to train for', default=100, type=int) - parser.add_argument('-s', '--seq-size', - help='sequence size', default=32, type=int) - parser.add_argument('-b', '--batch-size', - help='size of each training batch', default=256, type=int) - parser.add_argument('-m', '--embedding-dim', - help='size of the embedding', default=512, type=int) - parser.add_argument('-l', '--lstm-size', - help='size of the LSTM hidden state', default=512, type=int) - parser.add_argument( - '-a', '--layers', help='number of LSTM layers', default=3, type=int) - parser.add_argument('-r', '--dropout', - help='how much dropout to apply', default=0.2, type=int) - parser.add_argument('-n', '--max-norm', - help='maximum norm for gradient clipping', default=5, type=int) + parser.add_argument('-d', '--device', default='cpu', + help='device to train with') + parser.add_argument('-i', '--input', default='data', + help='training data input file') + parser.add_argument('-e', '--epochs', default=100, type=int, + help='number of epochs to train for') + parser.add_argument('-s', '--seq-size', default=32, type=int, + help='sequence size') + parser.add_argument('-b', '--batch-size', default=256, type=int, + help='size of each training batch') + parser.add_argument('-m', '--embedding-dim', default=512, type=int, + help='size of the embedding') + parser.add_argument('-l', '--lstm-size', default=512, type=int, + help='size of the LSTM hidden state') + parser.add_argument('-a', '--layers', default=3, type=int, + help='number of LSTM layers') + parser.add_argument('-r', '--dropout', default=0.2, type=int, + help='how much dropout to apply') + parser.add_argument('-n', '--max-norm', default=5, type=int, + help='maximum norm for gradient clipping') args = parser.parse_args()