d5a75ba09ae0595ca284fd806475eb8d3f771387,word_language_model/main.py,,,#,16

Before Change

// Model parameters.
parser.add_argument("-model"     , type=str, default="LSTM"       , help="Type of recurrent net. RNN_TANH, RNN_RELU, LSTM, or GRU.")
parser.add_argument("-emsize"    , type=int, default=200          , help="Size of word embeddings"                  )
parser.add_argument("-nhid"      , type=int, default=200          , help="Number of hidden units per layer."        )
parser.add_argument("-nlayers"   , type=int, default=2            , help="Number of layers."                        )
// Optimization parameters.
parser.add_argument("-lr"        , type=float, default=20          , help="Initial learning rate."                   )
parser.add_argument("-clip"      , type=float, default=0.5        , help="Gradient clipping."                       )
parser.add_argument("-maxepoch"  , type=int,   default=6          , help="Upper epoch limit."                       )
parser.add_argument("-batchsize" , type=int,   default=20         , help="Batch size."                              )
parser.add_argument("-bptt"      , type=int,   default=20         , help="Sequence length."                         )
// Device parameters.
parser.add_argument("-seed"      , type=int,   default=1111       , help="Random seed."                             )
parser.add_argument("-cuda"      , action="store_true"            , help="Use CUDA."                                )
// Misc parameters.

After Change

    if not args.cuda:
        print("WARNING: You have a CUDA device, so you should probably run with --cuda")
    else:
        torch.cuda.manual_seed(args.seed)

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Load data
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

Instances