4a327c9e769bc99adc87c9464374523de89fec6c,examples/transformer/hyperparams.py,,load_hyperparams,#,22

Before Change

        args.length_bucket_step,
        drop_long_sequences=True,
    )
    print("train_src:{}".format(args.train_src))
    print("dev src:{}".format(args.dev_src))
    train_dataset_hparams = {
        "num_epochs": args.eval_interval_epoch,
        //"num_epochs": args.max_train_epoch,

After Change

        help="save the eval output to file")
    argparser.add_argument("--eval_interval_epoch", type=int, default=1)
    argparser.add_argument("--load_from_pytorch", type=str, default="")
    argparser.add_argument("--affine_bias", type=int, default=1,
        help="for devendra, it"s 1; fot t2t , it"s 0")
    argparser.add_argument("--eval_criteria", type=str, default="bleu")
    argparser.add_argument("--pre_encoding", type=str, default="spm")
    argparser.add_argument("--max_decode_len", type=int, default=256)
    argparser.parse_args(namespace=args)

Instances