90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
# Copyright (c) ByteDance, Inc. and its affiliates.
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# Copyright (c) Chutong Meng
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#
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# This source code is licensed under the CC BY-NC license found in the
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# LICENSE file in the root directory of this source tree.
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# Based on AudioDec (https://github.com/facebookresearch/AudioDec)
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import torch
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import torch.nn as nn
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from ..layers.conv_layer import Conv1d
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from ..modules.residual_unit import ResidualUnit
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class EncoderBlock(nn.Module):
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def __init__(
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self,
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in_channels: int,
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out_channels: int,
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stride: int,
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dilations=(1, 1),
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unit_kernel_size=3,
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bias=True
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):
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super().__init__()
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self.res_units = torch.nn.ModuleList()
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for dilation in dilations:
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self.res_units += [
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ResidualUnit(in_channels, in_channels,
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kernel_size=unit_kernel_size,
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dilation=dilation)
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]
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self.num_res = len(self.res_units)
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self.conv = Conv1d(
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in_channels=in_channels,
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out_channels=out_channels,
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kernel_size=3 if stride == 1 else (2 * stride), # special case: stride=1, do not use kernel=2
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stride=stride,
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bias=bias,
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)
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def forward(self, x):
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for idx in range(self.num_res):
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x = self.res_units[idx](x)
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x = self.conv(x)
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return x
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class Encoder(nn.Module):
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def __init__(
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self,
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input_channels: int,
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encode_channels: int,
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channel_ratios=(1, 1),
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strides=(1, 1),
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kernel_size=3,
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bias=True,
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block_dilations=(1, 1),
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unit_kernel_size=3
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):
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super().__init__()
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assert len(channel_ratios) == len(strides)
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self.conv = Conv1d(
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in_channels=input_channels,
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out_channels=encode_channels,
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kernel_size=kernel_size,
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stride=1,
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bias=False
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)
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self.conv_blocks = torch.nn.ModuleList()
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in_channels = encode_channels
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for idx, stride in enumerate(strides):
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out_channels = int(encode_channels * channel_ratios[idx]) # could be float
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self.conv_blocks += [
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EncoderBlock(in_channels, out_channels, stride,
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dilations=block_dilations, unit_kernel_size=unit_kernel_size,
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bias=bias)
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]
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in_channels = out_channels
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self.num_blocks = len(self.conv_blocks)
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self.out_channels = out_channels
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def forward(self, x):
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x = self.conv(x)
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for i in range(self.num_blocks):
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x = self.conv_blocks[i](x)
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return x
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