code: def forward(self, x):
      dropout_mask = x.new_ones(x.shape[0], x.shape[-1])
      torch.nn.functional.dropout(
          dropout_mask, self.p, self.training, inplace=True
      )
      dropout_mask = dropout_mask.unsqueeze(
          1
      )  # [batch_size, 1, embedding_dim]
      if self.inplace:
          x *= dropout_mask
          return
      else:
          return x * dropout_mask
  
label_desc: Use image node_id 1 for calling the TimestepDropout obj's underlying member method code with example usage: obj.forward(x) and returns: unknown