diff --git a/mmcv/ops/csrc/pytorch/npu/chamfer_distance_npu.cpp b/mmcv/ops/csrc/pytorch/npu/chamfer_distance_npu.cpp
index f34d4289c4..0f9f099901 100644
--- a/mmcv/ops/csrc/pytorch/npu/chamfer_distance_npu.cpp
+++ b/mmcv/ops/csrc/pytorch/npu/chamfer_distance_npu.cpp
@@ -1,4 +1,3 @@
-
 #include "pytorch_npu_helper.hpp"
 
 using namespace NPU_NAME_SPACE;
@@ -6,19 +5,34 @@ using namespace std;
 
 void chamfer_distance_forward_npu(Tensor XYZ1, Tensor XYZ2, Tensor dist1,
                                   Tensor dist2, Tensor idx1, Tensor idx2) {
+  bool is_half = input.scalar_type() == at::kHalf;
   at::Tensor xyz1 = at::ones_like(XYZ1);
   at::Tensor xyz2 = at::ones_like(XYZ2);
+  at::Tensor distf1 = at::ones_like(dist1);
+  at::Tensor distf2 = at::ones_like(dist2);
   xyz1 = XYZ1.transpose(1, 2).transpose(0, 1);
   xyz2 = XYZ2.transpose(1, 2).transpose(0, 1);
+  if (is_half) {
+    xyz1 = xyz1.to(at::kFloat);
+    xyz2 = xyz2.to(at::kFloat);
+    distf1 = dist1.to(at::kFloat);
+    distf2 = dist2.to(at::kFloat);
+  }
   OpCommand cmd;
   cmd.Name("ChamferDistance")
       .Input(xyz1)
       .Input(xyz2)
-      .Output(dist1)
-      .Output(dist2)
+      .Output(distf1)
+      .Output(distf2)
       .Output(idx1)
       .Output(idx2)
       .Run();
+  if (is_half) {
+    distf1 = distf1.to(at::kHalf);
+    distf2 = distf2.to(at::kHalf);
+  }
+  dist1.copy_(distf1);
+  dist2.copy_(distf2);
 }
 
 void chamfer_distance_backward_npu(Tensor xyz1, Tensor xyz2, Tensor idx1,