This commit is contained in:
嘉渊 2023-04-28 15:24:58 +08:00
parent 9611e07e39
commit ce2f775f44

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@ -7,12 +7,13 @@ import torch
from typeguard import check_argument_types
from funasr.modules.nets_utils import make_pad_mask
from funasr.layers.abs_normalize import AbsNormalize
from funasr.layers.inversible_interface import InversibleInterface
class GlobalMVN(torch.nn.Module):
class GlobalMVN(AbsNormalize, InversibleInterface):
"""Apply global mean and variance normalization
TODO(kamo): Make this class portable somehow
Args:
stats_file: npy file
norm_means: Apply mean normalization
@ -63,7 +64,6 @@ class GlobalMVN(torch.nn.Module):
self, x: torch.Tensor, ilens: torch.Tensor = None
) -> Tuple[torch.Tensor, torch.Tensor]:
"""Forward function
Args:
x: (B, L, ...)
ilens: (B,)
@ -115,4 +115,4 @@ class GlobalMVN(torch.nn.Module):
if norm_means:
x += self.mean
x.masked_fill_(make_pad_mask(ilens, x, 1), 0.0)
return x, ilens
return x, ilens