Python data.Corpus() Examples

The following are 3 code examples of data.Corpus(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module data , or try the search function .
Example #1
Source File: ptb_main.py    From online-normalization with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def main(args):
    if args.seed is not None:
        random.seed(args.seed)
        torch.manual_seed(args.seed)
        cudnn.deterministic = True
        warnings.warn('You have chosen to seed training. '
                      'This will turn on the CUDNN deterministic setting, '
                      'which can slow down your training considerably! '
                      'You may see unexpected behavior when restarting '
                      'from checkpoints.')

    device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')

    print('=> load data...')
    corpus = data.Corpus(args.data)

    eval_batch_size = 10
    train_loader = batchify(corpus.train, args.batch_size, device)
    val_loader = batchify(corpus.valid, eval_batch_size, device)

    ntokens = len(corpus.dictionary)
    main_worker(train_loader, val_loader, ntokens, args, device)
Example #2
Source File: main.py    From Character-Level-Language-Modeling-with-Deeper-Self-Attention-pytorch with MIT License 5 votes vote down vote up 
def update(self, val, n=1):
        self.val = val
        self.sum += val * n
        self.count += n
        self.avg = self.sum / self.count


# corpus = data.Corpus(args.data)
Example #3
Source File: model.py    From JLM with MIT License 5 votes vote down vote up 
def load_corpus(self):
        self.corpus = Corpus(self.vocab, self.config.debug)
        self.encoded_train = np.array(self.corpus.encoded_train)
        self.encoded_dev = np.array(self.corpus.encoded_dev)
        self.encoded_test = np.array(self.corpus.encoded_test)