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# Copyright (c) ByteDance, Inc. and its affiliates.
# Copyright (c) Chutong Meng
#
# This source code is licensed under the CC BY-NC license found in the
# LICENSE file in the root directory of this source tree.
# Based on AudioDec (https://github.com/facebookresearch/AudioDec)
import torch.nn as nn
from RepCodec.repcodec.layers.conv_layer import Conv1d, Conv1d1x1
class ResidualUnit(nn.Module):
def __init__(
self,
in_channels: int,
out_channels: int,
kernel_size=3,
dilation=1,
bias=False,
nonlinear_activation="ELU",
nonlinear_activation_params={},
):
super().__init__()
self.activation = getattr(nn, nonlinear_activation)(**nonlinear_activation_params)
self.conv1 = Conv1d(
in_channels=in_channels,
out_channels=out_channels,
kernel_size=kernel_size,
stride=1,
dilation=dilation,
bias=bias,
)
self.conv2 = Conv1d1x1(out_channels, out_channels, bias)
def forward(self, x):
y = self.conv1(self.activation(x))
y = self.conv2(self.activation(y))
return x + y
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