skip unsupported cases in test

Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>

Author: rosenrodt

tensorrt_llm/_torch/modules/fused_moe/fused_moe_trtllm_gen.py

@@ -144,6 +144,10 @@ def can_implement(
             )
 
         if quant_algo is None:
+            if swiglu_gptoss_style:
+                return _warn_and_return(
+                    "TRTLLMGenFusedMoE BF16 path does not support bias/swiglu custom parameters."
+                )
             if not cls._is_flashinfer_fused_moe_available():
                 return _warn_and_return(
                     "TRTLLMGenFusedMoE unquantized BF16 path requires FlashInfer fused MoE "

tests/unittest/_torch/modules/moe/moe_test_utils.py

@@ -232,12 +232,13 @@ def should_skip_trtllm(
         QuantAlgo.W4A16_MXFP4,
         QuantAlgo.W4A8_MXFP4_MXFP8,
     }
-
-    if quant_algo not in trtllm_gen_quant_algos:
+    # Quant_algo==None (BF16 path) also falls through and must meet the should_skip_trtllm criteria
+    if quant_algo is not None and quant_algo not in trtllm_gen_quant_algos:
         return None
 
     num_experts = model_config.num_experts
     top_k = model_config.top_k
+    hidden_size = model_config.hidden_size
     intermediate_size = model_config.intermediate_size
 
     # Check: num_experts must be divisible by 4
@@ -255,11 +256,22 @@ def should_skip_trtllm(
             f"TRTLLMGenFusedMoE requires num_experts > top_k "
             f"(got num_experts={num_experts}, top_k={top_k})"
         )
+
+    if quant_algo is None:
+        if swiglu_gptoss_style:
+            return "TRTLLMGenFusedMoE BF16 path does not support bias/swiglu custom parameters."
+
+        if hidden_size % 128 != 0 or intermediate_size % 128 != 0:
+            return (
+                "TRTLLMGenFusedMoE BF16 path requires hidden_size and intermediate_size "
+                f"to be multiples of 128 (got h={hidden_size}, i={intermediate_size})."
+            )
+        return None
+
     # W4A8_MXFP4_MXFP8 with non-128-aligned hidden_size or intermediate_size
     # causes block_scale_interleave_reverse to fail with
     # "rows of Interleaved block scales should be multiple of 128".
     if quant_algo == QuantAlgo.W4A8_MXFP4_MXFP8:
-        hidden_size = model_config.hidden_size
         if hidden_size % 128 != 0 or intermediate_size % 128 != 0:
             return (
                 f"TRTLLMGenFusedMoE W4A8_MXFP4_MXFP8 with non-128-aligned "