diff --git a/paddle/fluid/framework/ir/infer_clean_graph_pass.cc b/paddle/fluid/framework/ir/infer_clean_graph_pass.cc
index 7713ed1eab88ee4fa16d52e7425075ae66f721a3..6607c026a748576f38419b275d71217f3eee0c59 100644
--- a/paddle/fluid/framework/ir/infer_clean_graph_pass.cc
+++ b/paddle/fluid/framework/ir/infer_clean_graph_pass.cc
@@ -37,6 +37,7 @@ class InferCleanGraphPass : public FusePassBase {
     std::unordered_set<const Node*> invalid_nodes;
     int valid_op = 0;
     for (auto* node : graph->Nodes()) {
+      PADDLE_ENFORCE_NOT_NULL(node);
       if (is_valid_node(node)) {
         invalid_nodes.insert(node);
       } else if (node->IsOp()) {
diff --git a/paddle/fluid/operators/random_crop_op.h b/paddle/fluid/operators/random_crop_op.h
index d68ba9d661698bb0d33b139f5748daec2ead6595..ee034b270527376fc268b8a868f90db52c51848a 100644
--- a/paddle/fluid/operators/random_crop_op.h
+++ b/paddle/fluid/operators/random_crop_op.h
@@ -121,7 +121,7 @@ struct RandomCropFunctor {
   HOSTDEVICE void operator()(size_t ins_idx) {
     typename Random<DeviceContext>::Engine engine(seed_);
     engine.discard(ins_idx * (rank_ - num_batchsize_dims_));
-    size_t offsets[9];
+    size_t offsets[9] = {};
     for (int i = num_batchsize_dims_; i < rank_; ++i) {
       typename Random<DeviceContext>::template UniformIntDist<size_t> dist(
           0, x_dims_[i] - out_dims_[i]);