docstr: Args:
      text: 1-D tensor representing a bag of text tensors
      offsets: a list of offsets to delimit the 1-D text tensor
          into the individual sequences.
docstr_tok: ["Args",":","text",":","1-D","tensor","representing","a","bag","of","text","tensors","offsets",":","a","list","of","offsets","to","delimit","the","1-D","text","tensor","into","the","individual","sequences","."]
code: def forward(self, text, offsets):
      """
      Args:
          text: 1-D tensor representing a bag of text tensors
          offsets: a list of offsets to delimit the 1-D text tensor
              into the individual sequences.
      """
      return self.fc(self.embedding(text, offsets))
  
imports: import torch.nn
label_desc: Use image node_id 3 for calling the TextSentiment obj's underlying member method code with example usage: obj.forward(text, offsets) and returns: self