diff --git a/pcdet/ops/pointnet2/pointnet2_batch/src/group_points.cpp b/pcdet/ops/pointnet2/pointnet2_batch/src/group_points.cpp
new file mode 100644
index 0000000..9735ae8
--- /dev/null
+++ b/pcdet/ops/pointnet2/pointnet2_batch/src/group_points.cpp
@@ -0,0 +1,36 @@
+/*
+batch version of point grouping, modified from the original implementation of official PointNet++ codes.
+Written by Shaoshuai Shi
+All Rights Reserved 2018.
+*/
+
+
+#include <torch/serialize/tensor.h>
+#include <cuda.h>
+#include <cuda_runtime_api.h>
+#include <vector>
+#include "group_points_gpu.h"
+
+
+int group_points_grad_wrapper_fast(int b, int c, int n, int npoints, int nsample, 
+    at::Tensor grad_out_tensor, at::Tensor idx_tensor, at::Tensor grad_points_tensor) {
+
+    float *grad_points = grad_points_tensor.data<float>();
+    const int *idx = idx_tensor.data<int>();
+    const float *grad_out = grad_out_tensor.data<float>();
+
+    group_points_grad_kernel_launcher_fast(b, c, n, npoints, nsample, grad_out, idx, grad_points);
+    return 1;
+}
+
+
+int group_points_wrapper_fast(int b, int c, int n, int npoints, int nsample, 
+    at::Tensor points_tensor, at::Tensor idx_tensor, at::Tensor out_tensor) {
+
+    const float *points = points_tensor.data<float>();
+    const int *idx = idx_tensor.data<int>();
+    float *out = out_tensor.data<float>();
+
+    group_points_kernel_launcher_fast(b, c, n, npoints, nsample, points, idx, out);
+    return 1;
+}