diff --git a/mindspore/lite/nnacl/infer/deconv2d_infer.c b/mindspore/lite/nnacl/infer/deconv2d_infer.c
index 5f77ecc1f7..e71d7c09f5 100644
--- a/mindspore/lite/nnacl/infer/deconv2d_infer.c
+++ b/mindspore/lite/nnacl/infer/deconv2d_infer.c
@@ -20,7 +20,7 @@
 int Deconv2dInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
                        OpParameter *parameter) {
 #ifdef Debug
-  int check_ret = CheckAugmentNull(inputs, inputs_size, outputs, outputs_size, parameter);
+  int check_ret = CheckAugmentNullInputSize(inputs, inputs_size, outputs, outputs_size, parameter, 2);
   if (check_ret != NNACL_OK) {
     return check_ret;
   }
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32/l2_norm_fp32.h b/mindspore/lite/src/runtime/kernel/arm/fp32/l2_norm_fp32.h
index 8fdc5864b9..67731cc8fd 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32/l2_norm_fp32.h
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32/l2_norm_fp32.h
@@ -14,8 +14,8 @@
  * limitations under the License.
  */
 
-#ifndef MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_RESHAPE_H_
-#define MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_RESHAPE_H_
+#ifndef MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_L2_NORM_H_
+#define MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_L2_NORM_H_
 
 #include <vector>
 #include "src/lite_kernel.h"
@@ -57,4 +57,4 @@ class L2NormCPUKernel : public LiteKernel {
 };
 }  // namespace mindspore::kernel
 
-#endif  // MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_RESHAPE_H_
+#endif  // MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_L2_NORM_H_
diff --git a/mindspore/lite/test/ut/src/runtime/kernel/opencl/conv2d_tests.cc b/mindspore/lite/test/ut/src/runtime/kernel/opencl/conv2d_tests.cc
index 06854f179d..55c41a67a6 100644
--- a/mindspore/lite/test/ut/src/runtime/kernel/opencl/conv2d_tests.cc
+++ b/mindspore/lite/test/ut/src/runtime/kernel/opencl/conv2d_tests.cc
@@ -39,6 +39,7 @@ ConvParameter *CreateParameter(const std::string &attr, ActType act_type) {
 void TestMain_Conv2D(const std::string &attr, float *input_data, float *weight_data, float *bias_data,
                      float *output_data, ActType act_type, bool fp16_enable, float atol = 1e-9) {
   auto *param = CreateParameter(attr, act_type);
+  param->group_ = 1;  // group conv is not supported in this test
   std::vector<int> input_shape = {param->input_batch_, param->input_h_, param->input_w_, param->input_channel_};
   std::vector<int> weight_shape = {param->output_channel_, param->kernel_h_, param->kernel_w_, param->input_channel_};
   std::vector<int> bias_shape = {param->output_channel_};