Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
return "".join([chr(x) for x in np.random.randint(97, 97+26, len)]) class ReverseDataset(Dataset): def __init__(self, n_samples, pad_idx, sos_idx, eos_idx): super(ReverseDataset, self).__init__() self.pad_idx = pad_idx self.sos_idx = sos_idx self.eos_idx = eos_idx self.values =