code: def forward(self, x):
      residual = x
  
      out = self.conv1(x)
      out = self.relu(out)
      out = self.bn1(out)
  
      out = self.conv2(out)
      out = self.bn2(out)
      out = self.se(out)
  
      if self.downsample is not None:
          residual = self.downsample(x)
  
      out += residual
      out = self.relu(out)
      return out
  
imports: import torch
  import torchaudio
  from torch import nn
  from torch.nn import Conv1d, ConvTranspose1d
  from torch.nn import functional
  from torch.nn.utils.parametrizations import weight_norm
  from torch.nn.utils.parametrize import remove_parametrizations
  from TTS.utils.io import load_fsspec
label_desc: Use image node_id 2 for calling the SEBasicBlock obj's underlying member method code with example usage: obj.forward(x) and returns: out