Format

vllm/attention/backends/rocm_flash_attn.py

@@ -23,7 +23,8 @@
 _PARTITION_SIZE_ROCM = 512
 _GPU_ARCH = torch.cuda.get_device_properties("cuda").gcnArchName
 _ON_NAVI = "gfx1" in _GPU_ARCH
-_ON_MI250_MI300 = any(arch in _GPU_ARCH for arch in ["gfx90a", "gfx940", "gfx941", "gfx942"])
+_ON_MI250_MI300 = any(arch in _GPU_ARCH 
+                      for arch in ["gfx90a", "gfx940", "gfx941", "gfx942"])
 
 class ROCmFlashAttentionBackend(AttentionBackend):
 
@@ -663,7 +664,8 @@ def _use_rocm_custom_paged_attention(qtype: torch.dtype, head_size: int,
                                      block_size: int, gqa_ratio: int,
                                      max_seq_len: int) -> bool:
     # rocm custom page attention not support on navi (gfx1*)
-    return (_ON_MI250_MI300 and not _ON_NAVI and (qtype == torch.half or qtype == torch.bfloat16)
+    return (_ON_MI250_MI300 and not _ON_NAVI 
+            and (qtype == torch.half or qtype == torch.bfloat16)
             and (head_size == 64 or head_size == 128)
             and (block_size == 16 or block_size == 32)
             and (gqa_ratio >= 1 and gqa_ratio <= 16) and max_seq_len <= 32768)