chore: update encoder.py

prefered -> preferred
This commit is contained in:
Ikko Eltociear Ashimine
2024-08-08 15:23:05 +09:00
committed by GitHub
parent 6be8d0fc36
commit a44bf2bf63

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@@ -297,7 +297,7 @@ class BaseEncoder(torch.nn.Module):
rate. rate.
3. Currently, nn.Sequential is used to stack all the convolution 3. Currently, nn.Sequential is used to stack all the convolution
layers in subsampling, we need to rewrite it to make it work layers in subsampling, we need to rewrite it to make it work
with cache, which is not prefered. with cache, which is not preferred.
Args: Args:
xs (torch.Tensor): (1, max_len, dim) xs (torch.Tensor): (1, max_len, dim)
chunk_size (int): decoding chunk size chunk_size (int): decoding chunk size