[Bug] Fix `is_flashmla_supported` Check Error (#24774)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

vllm/attention/backends/flashmla.py

@@ -17,7 +17,6 @@ from vllm.attention.backends.mla.common import (MLACommonBackend,
 from vllm.attention.ops.flashmla import (flash_mla_with_kvcache,
                                          get_mla_metadata,
                                          is_flashmla_supported)
-from vllm.platforms.cuda import CudaPlatform
 
 
 class FlashMLABackend(MLACommonBackend):
@@ -179,18 +178,8 @@ class FlashMLAImpl(MLACommonImpl[FlashMLAMetadata]):
                          logits_soft_cap, attn_type,
                          kv_sharing_target_layer_name, **mla_args)
 
-        assert is_flashmla_supported(), \
-            "FlashMLA is not supported on this device"
-
-        # disallow FlashMLA on NVIDIA Blackwell (SM 10.0+) GPUs
-        # context:
-        # https://github.com/deepseek-ai/FlashMLA/issues/83
-        # https://github.com/vllm-project/vllm/issues/24513
-        if CudaPlatform.has_device_capability(100):
-            raise NotImplementedError(
-                "FlashMLA is temporarily disabled on Blackwell (SM 10.0). "
-                "Please use CUTLASS_MLA or TRITON_MLA instead. "
-                "Example: `export VLLM_ATTENTION_BACKEND=CUTLASS_MLA`")
+        is_supported, reason = is_flashmla_supported()
+        assert is_supported, reason
 
         unsupported_features = [alibi_slopes, sliding_window, logits_soft_cap]
         if any(unsupported_features):

vllm/v1/attention/backends/mla/flashmla.py

@@ -12,7 +12,6 @@ from vllm.attention.ops.flashmla import (flash_mla_with_kvcache,
                                          is_flashmla_supported)
 from vllm.config import VllmConfig
 from vllm.logger import init_logger
-from vllm.platforms.cuda import CudaPlatform
 from vllm.v1.attention.backends.mla.common import (MLACommonBackend,
                                                    MLACommonDecodeMetadata,
                                                    MLACommonImpl,
@@ -156,18 +155,8 @@ class FlashMLAImpl(MLACommonImpl[FlashMLAMetadata]):
                          logits_soft_cap, attn_type,
                          kv_sharing_target_layer_name, **mla_args)
 
-        assert is_flashmla_supported(), \
-            "FlashMLA is not supported on this device"
-
-        # disallow FlashMLA on NVIDIA Blackwell (SM 10.0+) GPUs
-        # context:
-        # https://github.com/deepseek-ai/FlashMLA/issues/83
-        # https://github.com/vllm-project/vllm/issues/24513
-        if CudaPlatform.has_device_capability(100):
-            raise NotImplementedError(
-                "FlashMLA is temporarily disabled on Blackwell (SM 10.0). "
-                "Please use CUTLASS_MLA or TRITON_MLA instead. "
-                "Example: `export VLLM_ATTENTION_BACKEND=CUTLASS_MLA`")
+        is_supported, reason = is_flashmla_supported()
+        assert is_supported, reason
 
         unsupported_features = [alibi_slopes, sliding_window, logits_soft_cap]
         if any(unsupported_features):