fix the bug of the RPE (TODO)

fairseq/modules/rel_position_multihead_attention.py

@@ -261,7 +261,7 @@ class RelPositionMultiheadAttention(MultiheadAttention):
         )
         )
         # (batch * head, time1, d_k)
         # (batch * head, time1, d_k)
         q_with_bias_v = (
         q_with_bias_v = (
-            (q + self.pos_bias_v).transpose(0, 1)
+            (q + self.pos_bias_v).transpose(1, 2)
             .contiguous()
             .contiguous()
             .view(bsz * self.num_heads, tgt_len, self.head_dim)
             .view(bsz * self.num_heads, tgt_len, self.head_dim)
         )
         )
@@ -280,8 +280,7 @@ class RelPositionMultiheadAttention(MultiheadAttention):
             """Compute relative positional encoding.
             """Compute relative positional encoding.
 
 
             Args:
             Args:
-                x (torch.Tensor): Input tensor (batch, head, time1, 2*time1-1).
-                time1 means the length of query vector.
+                x (torch.Tensor): Input tensor (batch * head, time1, time2).
                 zero_triu (bool): If true, return the lower triangular part of
                 zero_triu (bool): If true, return the lower triangular part of
                 the matrix.
                 the matrix.
             Returns:
             Returns:
@@ -302,7 +301,7 @@ class RelPositionMultiheadAttention(MultiheadAttention):
                 x = x * torch.tril(ones, x.size(2) - x.size(1))[None, :, :]
                 x = x * torch.tril(ones, x.size(2) - x.size(1))[None, :, :]
             return x
             return x
 
 
-        matrix_bd = rel_shift(matrix_bd)
+        # matrix_bd = rel_shift(matrix_bd)
 
 
         attn_weights = (matrix_ac + matrix_bd) * self.scaling
         attn_weights = (matrix_ac + matrix_bd) * self.scaling