original_docstring: Pass the input through the encoder layer.
  
          Args:
              src: the sequnce to the encoder layer.
              src_mask: the mask for the src sequence.
          
docstring: Pass the input through the encoder layer.
docstring_tokens: Pass the input through the encoder layer .
code: def forward(self, src, src_mask=None):
          """Pass the input through the encoder layer.
  
          Args:
              src: the sequnce to the encoder layer.
              src_mask: the mask for the src sequence.
          """
          src2 = self.self_attn(src, src, src, src_mask)[0]
          src = src + self.dropout1(src2)
          src = self.norm1(src)
  
          src2 = self.linear2(self.dropout(F.relu(self.linear1(src))))
          src = src + self.dropout2(src2)
          src = self.norm2(src)
          return src
code_tokens: def forward ( self , src , src_mask = None ) : src2 = self . self_attn ( src , src , src , src_mask ) [ 0 ] src = src + self . dropout1 ( src2 ) src = self . norm1 ( src ) src2 = self . linear2 ( self . dropout ( F . relu ( self . linear1 ( src ) ) ) ) src = src + self . dropout2 ( src2 ) src = self . norm2 ( src ) return src
short_docstring: Pass the input through the encoder layer.
short_docstring_tokens: Pass the input through the encoder layer .
comment: """Pass the input through the encoder layer.
  
          Args:
              src: the sequnce to the encoder layer.
              src_mask: the mask for the src sequence.
          """