class_docstr: Extract features from audio
  
  Args:
      conv_layers (nn.ModuleList):
          convolution layers
class_docstr_tok: ["Extract","features","from","audio","Args",":","conv_layers","(","nn.ModuleList",")",":","convolution","layers"]
code: def __init__(
      self,
      conv_layers: nn.ModuleList,
  ):
      super().__init__()
      self.conv_layers = conv_layers
  
imports: import logging
  from typing import List, Optional, Tuple
  import torch
  from torch import nn, Tensor
  from torch.nn import Module, Parameter
  from .wavlm_attention import WavLMSelfAttention
label_desc: Use image node_id 1 to create a new FeatureExtractor object from inherited base classes: Module with example: obj = FeatureExtractor(conv_layers)