docstr: forward.
  :param x: torch.Tensor, input tensor with input size (B, C, T)
docstr_tok: ["forward",".",":","param","x",":","torch.Tensor",",","input","tensor","with","input","size","(","B",",","C",",","T",")"]
code: def forward(self, x):
      """forward.
      :param x: torch.Tensor, input tensor with input size (B, C, T)
      """
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.relu(x)
  
      x = self.layer1(x)
      x = self.layer2(x)
      x = self.layer3(x)
      x = self.layer4(x)
      x = self.avgpool(x)
      return x
  
file_path: audio/examples/avsr/models/resnet1d.py
imports: import torch.nn
label_desc: Use image node_id 3 for calling the ResNet1D obj's underlying member method code with example usage: obj.forward(x) and returns: x