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# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq.data import data_utils
from . import BaseWrapperDataset
class PaddingMaskDataset(BaseWrapperDataset):
def __init__(self, dataset, left_pad, pad_length=None):
super().__init__(dataset)
self.left_pad = left_pad
self.pad_length = pad_length
def __getitem__(self, index):
item = self.dataset[index]
return torch.zeros_like(item).bool()
def __len__(self):
return len(self.dataset)
def collater(self, samples):
return data_utils.collate_tokens(
samples, True, left_pad=self.left_pad, pad_to_length=self.pad_length
)
class LeftPaddingMaskDataset(PaddingMaskDataset):
def __init__(self, dataset):
super().__init__(dataset, left_pad=True)
class RightPaddingMaskDataset(PaddingMaskDataset):
def __init__(self, dataset):
super().__init__(dataset, left_pad=False)
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