[Kernel][Bugfix] Fix grouped topk cu (#24146)

Signed-off-by: mayuyuace <qiming1.zhang@intel.com>

csrc/moe/grouped_topk_kernels.cu

@@ -28,6 +28,7 @@ namespace cg = cooperative_groups;
 namespace vllm {
 namespace moe {
 
+constexpr float kNegInfinity = INFINITY * -1;
 constexpr unsigned FULL_WARP_MASK = 0xffffffff;
 constexpr int32_t WARP_SIZE = 32;
 constexpr int32_t BLOCK_SIZE = 512;
@@ -512,8 +513,8 @@ __global__ void group_idx_and_topk_idx_kernel(
       warp_id * topk;
   s_topk_idx += warp_id * topk;
 
-  T value = cuda::std::numeric_limits<T>::min();
-  T topk_group_value = cuda::std::numeric_limits<T>::min();
+  T value = kNegInfinity;
+  T topk_group_value = kNegInfinity;
   int32_t num_equalto_topkth_group;
 
 #if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 900))
@@ -539,11 +540,11 @@ __global__ void group_idx_and_topk_idx_kernel(
       __syncwarp();  // Ensure all threads have valid data before reduction
       topk_group_value = cg::reduce(tile, value, cg::greater<T>());
       if (value == topk_group_value) {
-        value = cuda::std::numeric_limits<T>::min();
+        value = kNegInfinity;
       }
       pre_count_equal_to_top_value = count_equal_to_top_value;
       count_equal_to_top_value = __popc(__ballot_sync(
-          FULL_WARP_MASK, (value == cuda::std::numeric_limits<T>::min())));
+          FULL_WARP_MASK, (value == cuda_cast<T, float>(kNegInfinity))));
     }
     num_equalto_topkth_group = target_num_min - pre_count_equal_to_top_value;
   }
@@ -555,7 +556,7 @@ __global__ void group_idx_and_topk_idx_kernel(
 
   int count_equalto_topkth_group = 0;
   bool if_proceed_next_topk =
-      (topk_group_value != cuda::std::numeric_limits<T>::min());
+      (topk_group_value != cuda_cast<T, float>(kNegInfinity));
   if (case_id < num_tokens && if_proceed_next_topk) {
     for (int i_group = 0; i_group < n_group; i_group++) {
       if ((group_scores[i_group] > topk_group_value) ||
@@ -568,7 +569,7 @@ __global__ void group_idx_and_topk_idx_kernel(
               (i < num_experts_per_group) && isfinite(cuda_cast<float, T>(
                                                  scores_with_bias[offset + i]))
                   ? scores_with_bias[offset + i]
-                  : cuda::std::numeric_limits<T>::min();
+                  : cuda_cast<T, float>(kNegInfinity);
           queue.add(candidates, offset + i);
         }
         if (group_scores[i_group] == topk_group_value) {