fix: attn_forwad when is_causal=True assert attn_mask is None

model/model_minimind.py

@@ -194,13 +194,7 @@ class Attention(nn.Module):
         )
 
         if self.flash and seq_len > 1 and (attention_mask is None or torch.all(attention_mask == 1)):
-            attn_mask = (
+            output = F.scaled_dot_product_attention(xq, xk, xv, dropout_p=self.dropout if self.training else 0.0, is_causal=True)
-                None
-                if attention_mask is None
-                else attention_mask.view(bsz, 1, 1, -1).expand(bsz, self.n_local_heads, seq_len, -1).bool()
-            )
-
-            output = F.scaled_dot_product_attention(xq, xk, xv, attn_mask=attn_mask, dropout_p=self.dropout if self.training else 0.0, is_causal=True)
         else:
             scores = (xq @ xk.transpose(-2, -1)) / math.sqrt(self.head_dim)
             scores = scores + torch.triu(