111a3673fdec28a1bc768659577f47cad2753ec6,scripts/sentiment_analysis/sentiment_analysis_cnn.py,,,#,43

Before Change

                    help="dropout applied to layers (0 = no dropout)")
parser.add_argument("--log-interval", type=int, default=30, metavar="N",
                    help="report interval")
parser.add_argument("--save-prefix", type=str, default="sa-model",
                    help="path to save the final model")
parser.add_argument("--gpu", type=int, default=None,
                    help="id of the gpu to use. Set it to empty means to use cpu.")
args = parser.parse_args()
print(args)

After Change

    print("Use gpu%d" % args.gpu)
    context = mx.gpu(args.gpu)

if args.data_name in ("MR", "Subj", "CR", "MPQA"):
    vocab, max_len, output_size, train_dataset, train_data_lengths \
    = process_data.load_dataset(args.data_name)
elif args.data_name == "TREC":

Instances