class_docstr: Args:
      n_feature: Number of input features
      n_hidden: Internal hidden unit size.
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = self.fc(x)
      x = torch.nn.functional.relu(x)
      x = torch.nn.functional.hardtanh(x, 0, self.relu_max_clip)
      if self.dropout:
          x = torch.nn.functional.dropout(
              x, self.dropout, self.training
          )
      return x
  
file_path: audio/src/torchaudio/models/deepspeech.py
imports: import torch
label_desc: Use image node_id 2 for calling the FullyConnected obj's underlying member method code with example usage: obj.forward(x) and returns: x