diff --git a/mindspore/lite/src/runtime/kernel/arm/base/reshape_base.cc b/mindspore/lite/src/runtime/kernel/arm/base/reshape_base.cc
index 31dfa0ee579..df2d72585c0 100644
--- a/mindspore/lite/src/runtime/kernel/arm/base/reshape_base.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/base/reshape_base.cc
@@ -42,6 +42,13 @@ int ReshapeBaseCPUKernel::Run() {
   CHECK_NULL_RETURN(in_tensor);
   auto out_tensor = out_tensors().front();
   CHECK_NULL_RETURN(out_tensor);
+
+  if (in_tensor->data_type() != out_tensor->data_type() || in_tensor->data() == nullptr ||
+      in_tensor->Size() != out_tensor->Size()) {
+    MS_LOG(ERROR) << "Invalid param in reshape";
+    return RET_ERROR;
+  }
+
   if (in_tensor->allocator() == nullptr || in_tensor->allocator() != out_tensor->allocator() ||
       in_tensor->allocator() != ms_context_->allocator || /* runtime allocator */
       op_parameter_->is_train_session_) {
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32_base.cc b/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32_base.cc
index 7f09bd2257b..b7965f7ea54 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32_base.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32_base.cc
@@ -180,6 +180,11 @@ int MatmulFp32BaseCPUKernel::InitBiasData() {
 }
 
 int MatmulFp32BaseCPUKernel::InitMatrixA(const float *src_ptr) const {
+  if (in_tensors().at(FIRST_INPUT) == nullptr || in_tensors().at(FIRST_INPUT)->data_type() != kNumberTypeFloat32) {
+    MS_LOG(ERROR) << "Invalid param in matmul";
+    return RET_ERROR;
+  }
+
   CHECK_NULL_RETURN(src_ptr);
   if (vec_matmul_) {
     return RET_OK;
@@ -197,6 +202,11 @@ int MatmulFp32BaseCPUKernel::InitMatrixA(const float *src_ptr) const {
 }
 
 int MatmulFp32BaseCPUKernel::InitMatrixB(const float *src_ptr) const {
+  if (in_tensors().at(SECOND_INPUT) == nullptr || in_tensors().at(SECOND_INPUT)->data_type() != kNumberTypeFloat32) {
+    MS_LOG(ERROR) << "Invalid param in matmul";
+    return RET_ERROR;
+  }
+
   CHECK_NULL_RETURN(src_ptr);
   for (int i = 0; i < b_batch_; i++) {
     const float *src = src_ptr + i * params_->deep_ * params_->col_;
@@ -402,6 +412,7 @@ int MatmulFp32BaseCPUKernel::Prepare() {
     MS_LOG(ERROR) << "InitBiasData failed";
     return ret;
   }
+
   if (params_->a_const_) {
     auto a_tensor = in_tensors_[0];
     CHECK_NULL_RETURN(a_tensor);