class_docstr: Conv1D + Linear for Transformer block.
  
  A variant of MultiLayeredConv1d, which replaces second conv-layer to linear.
docstr: Calculate forward propagation.
  
  Args:
      x (torch.Tensor): Batch of input tensors (B, T, in_chans).
  
  Returns:
      torch.Tensor: Batch of output tensors (B, T, hidden_chans).
code: def forward(self, x):
      """Calculate forward propagation.
  
      Args:
          x (torch.Tensor): Batch of input tensors (B, T, in_chans).
  
      Returns:
          torch.Tensor: Batch of output tensors (B, T, hidden_chans).
  
      """
      x = torch.relu(self.w_1(x.transpose(-1, 1))).transpose(-1, 1)
      return self.w_2(self.dropout(x))
  
file_path: espnet/espnet/nets/pytorch_backend/transformer/multi_layer_conv.py
imports: import torch
label_desc: Use image node_id 2 for calling the Conv1dLinear obj's underlying member method code with example usage: obj.forward(x) and returns: self