[fix]: disable cutlass block scaled group gemm for EP (#20781)

Signed-off-by: Duncan Moss <djm.moss@gmail.com>

vllm/model_executor/layers/fused_moe/cutlass_moe.py

@@ -553,8 +553,10 @@ def cutlass_moe_fp4(a: torch.Tensor,
     return out.to(dtype=out_dtype)
 
 
-def _valid_cutlass_block_scaled_grouped_gemm(w1: torch.Tensor,
-                                             w2: torch.Tensor) -> bool:
+def _valid_cutlass_block_scaled_grouped_gemm(
+        w1: torch.Tensor, w2: torch.Tensor, inplace: bool, activation: str,
+        apply_router_weight_on_input: bool,
+        expert_map: Optional[torch.Tensor]) -> bool:
 
     def _valid_cutlass_block_scaled_grouped_gemm_shape(N: int, K: int):
         return N % 128 == 0 and K % 128 == 0
@@ -570,6 +572,29 @@ def _valid_cutlass_block_scaled_grouped_gemm(w1: torch.Tensor,
             "CutlassBlockScaledGroupedGemm disabled: invalid weight dtype(s).")
         return False
 
+    if expert_map is not None:
+        logger.debug(
+            "CutlassBlockScaledGroupedGemm disabled: expert_parallel is"
+            " not supported.")
+        return False
+
+    if activation != "silu":
+        logger.debug(
+            "CutlassBlockScaledGroupedGemm disabled: only activation silu is"
+            " supported.")
+        return False
+
+    if apply_router_weight_on_input:
+        logger.debug("CutlassBlockScaledGroupedGemm disabled:"
+                     " apply_router_weight_on_input is not supported.")
+        return False
+
+    if inplace:
+        logger.debug(
+            "CutlassBlockScaledGroupedGemm disabled: inplace is not supported."
+        )
+        return False
+
     return True