zr_jin e8b6b920c0
A LibriTTS recipe on both ASR & Neural Codec Tasks (#1746)
* added ASR & CODEC recipes for LibriTTS corpus
2024-10-21 11:30:14 +08:00

28 lines
803 B
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file at https://github.com/facebookresearch/encodec/blob/main/LICENSE
"""LSTM layers module."""
from torch import nn
class SLSTM(nn.Module):
"""
LSTM without worrying about the hidden state, nor the layout of the data.
Expects input as convolutional layout.
"""
def __init__(self, dimension: int, num_layers: int = 2, skip: bool = True):
super().__init__()
self.skip = skip
self.lstm = nn.LSTM(dimension, dimension, num_layers)
def forward(self, x):
x = x.permute(2, 0, 1)
y, _ = self.lstm(x)
if self.skip:
y = y + x
y = y.permute(1, 2, 0)
return y