code: def forward(self, x, x_mark):
      x = self.value_embedding(x) + self.temporal_embedding(x_mark)
      return self.dropout(x)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils import weight_norm
  import math
label_desc: Use image node_id 2 for calling the DataEmbedding_wo_pos obj's underlying member method code with example usage: obj.forward(x, x_mark) and returns: self