code: def forward(self, q, kv, padding_mask=None, alibi_bias=None):
      r = q if self.first_residual else 0
      if self.layer_norm_first:
          x = r + self.drop_path(
              self.attn(self.norm1(q), kv, padding_mask, alibi_bias)
          )
          r = x = self.mlp(self.norm2(x))
          x = r + self.drop_path(self.post_mlp_dropout(x))
      else:
          x = r + self.drop_path(
              self.attn(q, kv, padding_mask, alibi_bias)
          )
          r = x = self.norm1(x)
          x = self.mlp(x)
          x = self.norm2(r + self.drop_path(self.post_mlp_dropout(x)))
  
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import numpy
  from dataclasses import dataclass
  from fairseq.modules import LayerNorm, SamePad, SamePad2d, TransposeLast
label_desc: Use image node_id 2 for calling the EncDecBlock obj's underlying member method code with example usage: obj.forward(q, kv, padding_mask, alibi_bias) and returns: x