diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32/space_to_depth.cc b/mindspore/lite/src/runtime/kernel/arm/fp32/space_to_depth.cc
index 6b0819798111e0e5e0d12707e44ca1fc604664e6..3ecb34a6a6030d391471eb2a861813928fa84570 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32/space_to_depth.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32/space_to_depth.cc
@@ -77,6 +77,8 @@ int SpaceToDepthRun(int task_id, LiteParallelGroupEnv *penv, void *cdata) {
 }
 
 int SpaceToDepthCPUKernel::Run() {
+  input_ptr_ = reinterpret_cast<float *>(inputs_[0]->Data());
+  output_ptr_ = reinterpret_cast<float *>(outputs_[0]->Data());
   if (inputs_[0]->GetFormat() == schema::Format_NHWC) {
     int ret = LiteBackendParallelLaunch(SpaceToDepthRun, this, thread_h_num_);
     if (ret != RET_OK) {
diff --git a/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_batch_fp32_tests.cc b/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_batch_fp32_tests.cc
index eafafe801193efa20644317254f736b8e40f864f..7445f0a75e01a9849629ef5b30b1ec9267876dc0 100644
--- a/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_batch_fp32_tests.cc
+++ b/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_batch_fp32_tests.cc
@@ -158,6 +158,8 @@ TEST_F(SpaceToBatchTestFp32, SpaceToBatchTest3) {
   }
   std::cout << "\n";
   CompareOutputData(output.data(), expect_out, out_size, 0.000001);
+  input_tensor.SetData(nullptr);
+  output_tensor.SetData(nullptr);
 }
 
 }  // namespace mindspore
diff --git a/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_depth_fp32_tests.cc b/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_depth_fp32_tests.cc
index ba48fa11c0c3babe13c5742023a84ba05541cb0c..2c25eeca0bb410d940dce9b0599e22a8c29e24df 100644
--- a/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_depth_fp32_tests.cc
+++ b/mindspore/lite/test/ut/src/runtime/kernel/arm/fp32/space_to_depth_fp32_tests.cc
@@ -56,7 +56,7 @@ TEST_F(SpaceToDepthTestFp32, SpaceToDepthTest2) {
   input_tensor.SetFormat(schema::Format_NHWC);
   input_tensor.set_data_type(kNumberTypeFloat32);
   std::vector<lite::tensor::Tensor *> inputs_tensor;
-  inputs_tensor.emplace_back(&input_tensor);
+  inputs_tensor.push_back(&input_tensor);
 
   const int out_size = 16;
   float expect_out[16] = {1, 2, 10, 20, 5, 6, 3, 8, 18, 10, 11, 55, 3, 4, 15, 25};
@@ -68,7 +68,7 @@ TEST_F(SpaceToDepthTestFp32, SpaceToDepthTest2) {
   output_tensor.SetFormat(schema::Format_NHWC);
   output_tensor.set_data_type(kNumberTypeFloat32);
   std::vector<lite::tensor::Tensor *> outputs_tensor;
-  outputs_tensor.emplace_back(&output_tensor);
+  outputs_tensor.push_back(&output_tensor);
 
   SpaceToDepthParameter op_param;
   op_param.op_parameter_.type_ = schema::PrimitiveType_SpaceToDepth;