diff --git a/sharktank/sharktank/layers/paged_llama_attention_block.py b/sharktank/sharktank/layers/paged_llama_attention_block.py
index ee767cf3e..7acb0b03e 100644
--- a/sharktank/sharktank/layers/paged_llama_attention_block.py
+++ b/sharktank/sharktank/layers/paged_llama_attention_block.py
@@ -182,9 +182,13 @@ def repeat_kv(x: torch.Tensor) -> torch.Tensor:
                 # self.trace_tensor("attn_mask", attention_mask)
                 attn_weights = attn_weights + attention_mask
 
-            attn_weights = ops.softmax(ops.to(attn_weights, dtype=torch.float32), dim=-1)
+            attn_weights = ops.softmax(
+                ops.to(attn_weights, dtype=torch.float32), dim=-1
+            )
             attn_weights = ops.to(attn_weights, dtype=xq.dtype)
-            attn_output = ops.matmul(attn_weights, values)  # (bs, heads, slen, head_dim)
+            attn_output = ops.matmul(
+                attn_weights, values
+            )  # (bs, heads, slen, head_dim)
         else:
             is_causal = attention_mask is None and batch_seq_len == 1
             attn_output = torch.nn.functional.scaled_dot_product_attention(