About def get_mask_from_lengths(lengths, max_len=None):

[Dyongh613]

Hi@keonlee9420, Thank You very much!
def get_mask_from_lengths(lengths, max_len=None):
batch_size = lengths.shape[0]
if max_len is None:
max_len = torch.max(lengths).item()

ids = torch.arange(0, max_len).unsqueeze(
    0).expand(batch_size, -1).to(lengths.device)
mask = ids >= lengths.unsqueeze(1).expand(-1, max_len)

return ~mask

In PortaSpeech, the return is ~mask, while in DiffGAN-TTS it is mask. I want to know the difference between them!