diff --git a/mmcv/ops/csrc/pytorch/npu/bbox_overlaps_npu.cpp b/mmcv/ops/csrc/pytorch/npu/bbox_overlaps_npu.cpp
index 3e346e7337..4a110ae07c 100644
--- a/mmcv/ops/csrc/pytorch/npu/bbox_overlaps_npu.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/bbox_overlaps_npu.cpp
@@ -25,7 +25,7 @@ void bbox_overlaps_npu(const Tensor bboxes1, const Tensor bboxes2, Tensor ious,
     bboxesFP32 = bboxesFP32.to(at::kFloat);
     gtboxesFP32 = gtboxesFP32.to(at::kFloat);
   }
-  c10::SmallVector<int64_t, SIZE> iousSize = {gtboxesFP32.size(0),
+  c10::SmallVector<int64_t, 8> iousSize = {gtboxesFP32.size(0),
                                               bboxesFP32.size(0)};
   if (aligned) {
     iousSize = {gtboxesFP32.size(0), 1};
diff --git a/mmcv/ops/csrc/pytorch/npu/common_util.h b/mmcv/ops/csrc/pytorch/npu/common_util.h
index 2092763860..8401c3e680 100644
--- a/mmcv/ops/csrc/pytorch/npu/common_util.h
+++ b/mmcv/ops/csrc/pytorch/npu/common_util.h
@@ -1,5 +1,6 @@
 #ifndef MMCV_OPS_CSRC_COMMON__UTIL_HPP_
 #define MMCV_OPS_CSRC_COMMON__UTIL_HPP_
+
 const int SIZE = 8;
 
 #endif  // MMCV_OPS_CSRC_COMMON__UTIL_HPP_
diff --git a/mmcv/ops/csrc/pytorch/npu/fused_bias_leakyrelu_npu.cpp b/mmcv/ops/csrc/pytorch/npu/fused_bias_leakyrelu_npu.cpp
index e8cd552ef7..f9214b4b14 100644
--- a/mmcv/ops/csrc/pytorch/npu/fused_bias_leakyrelu_npu.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/fused_bias_leakyrelu_npu.cpp
@@ -16,7 +16,7 @@ Tensor fused_bias_leakyrelu_npu(const Tensor &input, const Tensor &bias,
   if (grad == 0) {
     auto input_size = input.sizes();
     int input_length = input_size.size();
-    c10::SmallVector<int64_t, SIZE> input_size_tmp;
+    c10::SmallVector<int64_t, 8> input_size_tmp;
     for (uint64_t i = 0; i < input_size.size(); i++) {
       input_size_tmp.emplace_back(input_size[i]);
     }
diff --git a/mmcv/ops/csrc/pytorch/npu/nms_npu.cpp b/mmcv/ops/csrc/pytorch/npu/nms_npu.cpp
index a7fbebee93..f62054ea6c 100644
--- a/mmcv/ops/csrc/pytorch/npu/nms_npu.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/nms_npu.cpp
@@ -15,7 +15,7 @@ Tensor nms_npu(Tensor boxes, Tensor scores, float iou_threshold, int offset) {
   at::Tensor max_outputsize_y =
       at::empty({}, boxes.options().dtype(at::kInt)).fill_(boxes.size(0));
 
-  c10::SmallVector<int64_t, SIZE> outputsize = {boxes.size(0)};
+  c10::SmallVector<int64_t, 8> outputsize = {boxes.size(0)};
   at::Tensor output =
       at::empty(outputsize, boxes.options().dtype(at::kInt)).fill_(-1);
   OpCommand cmd;
diff --git a/mmcv/ops/csrc/pytorch/npu/nms_rotated_npu.cpp b/mmcv/ops/csrc/pytorch/npu/nms_rotated_npu.cpp
index 1b2107eb99..c768671cb8 100644
--- a/mmcv/ops/csrc/pytorch/npu/nms_rotated_npu.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/nms_rotated_npu.cpp
@@ -12,7 +12,7 @@ Tensor nms_rotated_npu(const Tensor dets, const Tensor scores,
     detsCast = detsCast.to(at::kFloat);
     scoresCast = scoresCast.to(at::kFloat);
   }
-  c10::SmallVector<int64_t, SIZE> selectedIndexSize = {dets.size(0)};
+  c10::SmallVector<int64_t, 8> selectedIndexSize = {dets.size(0)};
 
   at::Tensor selectedBox = at::empty_like(dets);
   at::Tensor selectedIndex =
diff --git a/mmcv/ops/csrc/pytorch/npu/roi_align_npu.cpp b/mmcv/ops/csrc/pytorch/npu/roi_align_npu.cpp
index b1edd88865..2255d302e3 100644
--- a/mmcv/ops/csrc/pytorch/npu/roi_align_npu.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/roi_align_npu.cpp
@@ -43,7 +43,7 @@ void roi_align_backward_npu(Tensor grad_output, Tensor rois, Tensor argmax_y,
     roi_end_mode = 0;
   }
   auto shape = grad_input.sizes();
-  c10::SmallVector<int64_t, SIZE> xdiff_shape;
+  c10::SmallVector<int64_t, 8> xdiff_shape;
   for (uint64_t i = 0; i < shape.size(); i++) {
     xdiff_shape.emplace_back(shape[i]);
   }
diff --git a/mmcv/ops/csrc/pytorch/npu/roi_align_rotated_npu.cpp b/mmcv/ops/csrc/pytorch/npu/roi_align_rotated_npu.cpp
index 3d7560f49c..d28d50fd40 100644
--- a/mmcv/ops/csrc/pytorch/npu/roi_align_rotated_npu.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/roi_align_rotated_npu.cpp
@@ -33,7 +33,7 @@ void roi_align_rotated_backward_npu(Tensor top_grad, Tensor rois,
   int64_t aligned_height_64 = aligned_height;
   int64_t aligned_width_64 = aligned_width;
   int64_t sampling_ratio_64 = sampling_ratio;
-  c10::SmallVector<int64_t, SIZE> y_grad_shape;
+  c10::SmallVector<int64_t, 8> y_grad_shape;
   auto shape = bottom_grad.sizes();
   for (uint64_t i = 0; i < shape.size(); i++) {
     y_grad_shape.emplace_back(shape[i]);
diff --git a/mmcv/ops/csrc/pytorch/npu/roipoint_pool3d_forward.cpp b/mmcv/ops/csrc/pytorch/npu/roipoint_pool3d_forward.cpp
index 1cf6500eeb..2fc645c62b 100644
--- a/mmcv/ops/csrc/pytorch/npu/roipoint_pool3d_forward.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/roipoint_pool3d_forward.cpp
@@ -13,12 +13,12 @@ void roipoint_pool3d_forward_impl_npu(int batch_size, int pts_num,
                                       Tensor pooled_empty_flag) {
   auto points_trans = xyz.transpose(1, 2).contiguous();
   auto point_features_trans = pts_feature.transpose(1, 2).contiguous();
-  c10::SmallVector<int64_t, SIZE> features_trans_size = {
+  c10::SmallVector<int64_t, 8> features_trans_size = {
       xyz.size(0), boxes3d.size(1), xyz.size(2) + pts_feature.size(2),
       sampled_pts_num};
   at::Tensor pooled_features_trans =
       at::empty(features_trans_size, xyz.options());
-  c10::SmallVector<int64_t, SIZE> empty_flag_size = {boxes3d.size(0),
+  c10::SmallVector<int64_t, 8> empty_flag_size = {boxes3d.size(0),
                                                      boxes3d.size(1)};
   EXEC_NPU_CMD(aclnnRoipointPool3dForward, points_trans, point_features_trans,
                boxes3d, sampled_pts_num, pooled_features_trans,