[Kernel][Minor] Re-fuse triton moe weight application (#16071)

Signed-off-by: Bill Nell <bnell@redhat.com>

Author: bnellnm

vllm/model_executor/layers/fused_moe/fused_moe.py

@@ -1297,30 +1297,24 @@ def fused_experts_impl(hidden_states: torch.Tensor,
             qintermediate_cache2 = intermediate_cache2
             a2q_scale = a2_scale
 
-        invoke_fused_moe_kernel(
-            qintermediate_cache2,
-            w2,
-            intermediate_cache3,
-            a2q_scale,
-            w2_scale,
-            w2_zp,
-            curr_topk_weights,
-            sorted_token_ids,
-            expert_ids,
-            num_tokens_post_padded,
-            False,  #True,
-            1,
-            config,
-            compute_type=compute_type,
-            use_fp8_w8a8=use_fp8_w8a8,
-            use_int8_w8a16=use_int8_w8a16,
-            use_int4_w4a16=use_int4_w4a16,
-            block_shape=block_shape)
-
-        if True:
-            intermediate_cache3 = intermediate_cache3.view(-1, top_k_num, K)
-            intermediate_cache3.mul_(
-                curr_topk_weights.view(tokens_in_chunk, -1, 1))
+        invoke_fused_moe_kernel(qintermediate_cache2,
+                                w2,
+                                intermediate_cache3,
+                                a2q_scale,
+                                w2_scale,
+                                w2_zp,
+                                curr_topk_weights,
+                                sorted_token_ids,
+                                expert_ids,
+                                num_tokens_post_padded,
+                                True,
+                                1,
+                                config,
+                                compute_type=compute_type,
+                                use_fp8_w8a8=use_fp8_w8a8,
+                                use_int8_w8a16=use_int8_w8a16,
+                                use_int4_w4a16=use_int4_w4a16,
+                                block_shape=block_shape)
 
         ops.moe_sum(intermediate_cache3.view(*intermediate_cache3.shape),
                     out_hidden_states[begin_chunk_idx:end_chunk_idx])