diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/range_infer.c b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/range_infer.c
index 0d8bb85785c..0c2114f02c0 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/range_infer.c
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/range_infer.c
@@ -40,7 +40,9 @@ int RangeInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **
   if (!InferFlag(inputs, inputs_size)) {
     return NNACL_INFER_INVALID;
   }
-
+  if (GetElementNum(inputs[0]) < 1 || GetElementNum(inputs[1]) < 1 || GetElementNum(inputs[2]) < 1) {
+    return NNACL_ERR;
+  }
   int shape_size = 0;
   if (inputs_size == 3) {
     if ((inputs[0]->data_ == NULL) || (inputs[1]->data_ == NULL) || (inputs[2]->data_ == NULL)) {
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/resize_infer.c b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/resize_infer.c
index 10d27146321..da8d02756fa 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/resize_infer.c
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/resize_infer.c
@@ -32,6 +32,9 @@ int HandleTwoInputs(const TensorC *const *inputs, ResizeParameter *param) {
         if (data == NULL) {
           return NNACL_INFER_INVALID;
         }
+        if (GetElementNum(shape_tensor) < 4) {
+          return NNACL_ERR;
+        }
         switch (shape_tensor->format_) {
           case Format_NCHW:
             param->new_height_ = data[2];
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/strided_slice_grad_infer.c b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/strided_slice_grad_infer.c
index 47846d820ed..ea124e94763 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/strided_slice_grad_infer.c
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/strided_slice_grad_infer.c
@@ -32,7 +32,7 @@ bool StridedSliceCheckInputs(const TensorC *const *inputs, size_t inputs_size) {
   return true;  // note: the original code is ndim_ <= in_shape_size
 }
 
-void ApplyBeginEndEllipsisMask(size_t ndim, int *begins, uint32_t *begins_mask, int *ends,
+void ApplyBeginEndEllipsisMask(size_t ndim, int *begins, const uint32_t *const begins_mask, int *ends,
                                const uint32_t *const ends_mask, const uint32_t *const ellipsis_mask,
                                const int *const in_shape) {
   for (size_t i = 0; i < ndim; i++) {
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tensorlist_fromtensor_infer.c b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tensorlist_fromtensor_infer.c
index f0448cdc65d..b3367dba506 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tensorlist_fromtensor_infer.c
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tensorlist_fromtensor_infer.c
@@ -58,12 +58,6 @@ int TensorListFromTensorInferShape(const TensorC *const *inputs, size_t inputs_s
     free(tensor_shape.shape_);
     return NNACL_NULL_PTR;
   }
-
-  if (dim0 < 0) {
-    free(tensor_shape.shape_);
-    free(tensor_shape.shape_size_);
-    return NNACL_ERR;
-  }
   for (int i = 0; i < dim0; i++) {
     tensor_shape.shape_[i] = (int *)(input0->shape_ + 1);
     tensor_shape.shape_size_[i] = (int)(input0->shape_size_) - 1;
diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tile_infer.c b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tile_infer.c
index 134d9eee257..77609e8b1a2 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tile_infer.c
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/tile_infer.c
@@ -94,7 +94,7 @@ int TileInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **o
     ShapePush(out_shape, &out_shape_size, input->shape_[i]);
   }
   for (size_t i = 0; i < dims_size; ++i) {
-    if (input->shape_[dims[i]] == 0 || dims[i] >= MAX_SHAPE_SIZE) {
+    if (dims[i] >= MAX_SHAPE_SIZE || input->shape_[dims[i]] == 0) {
       return NNACL_ERR;
     }
     if (input->shape_[dims[i]] != 0 && param->multiples_[i] > INT_MAX / input->shape_[dims[i]]) {