diff --git a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_3x3_fp16.cc b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_3x3_fp16.cc
index d85b5ff3b51..8cd8f62b7c9 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_3x3_fp16.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_3x3_fp16.cc
@@ -147,6 +147,5 @@ int ConvolutionDepthwise3x3Fp16CPUKernel::Run() {
   }
   return RET_OK;
 }
-
 }  // namespace mindspore::kernel
 #endif
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32/sparse_to_dense_fp32.cc b/mindspore/lite/src/runtime/kernel/arm/fp32/sparse_to_dense_fp32.cc
index a0b96f00ec6..174418d5142 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32/sparse_to_dense_fp32.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32/sparse_to_dense_fp32.cc
@@ -33,7 +33,7 @@ int SparseToDenseCPUKernel::Init() {
   MS_CHECK_TRUE_RET(in_tensors_.size() == kInputSize2, RET_ERROR);
   CHECK_NULL_RETURN(in_tensors_[0]);
   CHECK_NULL_RETURN(in_tensors_[1]);
-  CHECK_NULL_RETURN(in_tensors_[2]);
+  CHECK_NULL_RETURN(in_tensors_[DIMENSION_2D]);
   MS_CHECK_TRUE_RET(out_tensors_.size() == 1, RET_ERROR);
   CHECK_NULL_RETURN(out_tensors_.front());
   auto input2 = in_tensors_.at(2);
diff --git a/mindspore/lite/src/runtime/kernel/opencl/kernel/sparse_to_dense.cc b/mindspore/lite/src/runtime/kernel/opencl/kernel/sparse_to_dense.cc
index 385ad6b58cd..5922f71611c 100644
--- a/mindspore/lite/src/runtime/kernel/opencl/kernel/sparse_to_dense.cc
+++ b/mindspore/lite/src/runtime/kernel/opencl/kernel/sparse_to_dense.cc
@@ -55,7 +55,7 @@ int SparseToDenseOpenCLKernel::InitOutputToDefault() {
 
 int SparseToDenseOpenCLKernel::InitWeights() {
   auto allocator = ocl_runtime_->GetAllocator();
-  MS_CHECK_GE(in_tensors_.size(), 3, RET_ERROR);
+  MS_CHECK_GE(in_tensors_.size(), DIMENSION_3D, RET_ERROR);
   auto weight_tensor = in_tensors_[2];
   size_t size = 1;
   for (int i = 0; i < weight_tensor->shape().size(); ++i) {
@@ -176,7 +176,7 @@ void SparseToDenseOpenCLKernel::SetGlobalLocal() {
 int SparseToDenseOpenCLKernel::Prepare() {
   enable_fp16_ = ocl_runtime_->GetFp16Enable();
   input_dim_ = in_tensors_[0]->shape().size();
-  MS_CHECK_GE(input_dim_, 2, RET_ERROR);
+  MS_CHECK_GE(input_dim_, DIMENSION_2D, RET_ERROR);
   inshapeindex1_dim = in_tensors_[0]->shape()[1];
   weight_scalar_ = in_tensors_[2]->IsScalar();
   const std::string kernel_name = "SparseToDense" + std::string(weight_scalar_ ? "Scalar" : "Vector");