File: utils.py

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pytorch-audio 2.6.0-1
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class MockSentencePieceProcessor:
    def __init__(self, num_symbols, *args, **kwargs):
        self.num_symbols = num_symbols

    def get_piece_size(self):
        return self.num_symbols

    def encode(self, input):
        return [1, 5, 2]

    def decode(self, input):
        return "hey"

    def unk_id(self):
        return 0

    def eos_id(self):
        return 1

    def pad_id(self):
        return 2


class MockCustomDataset:
    def __init__(self, base_dataset, *args, **kwargs):
        self.base_dataset = base_dataset

    def __getitem__(self, n: int):
        return [self.base_dataset[n]]

    def __len__(self):
        return len(self.base_dataset)


class MockDataloader:
    def __init__(self, base_dataset, batch_size, collate_fn, *args, **kwargs):
        self.base_dataset = base_dataset
        self.batch_size = batch_size
        self.collate_fn = collate_fn

    def __iter__(self):
        for sample in iter(self.base_dataset):
            if self.batch_size == 1:
                sample = [sample]
            yield self.collate_fn(sample)

    def __len__(self):
        return len(self.base_dataset)