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/lstm_op.h b/paddle/fluid/operators/lstm_op.h
index 7d62d2d020ec2e3a29ad8720a8f04fead3a90a63..3f110024b285d41ccfe305e35c8efca5ed5ee0fe 100644
--- a/paddle/fluid/operators/lstm_op.h
+++ b/paddle/fluid/operators/lstm_op.h
@@ -311,6 +311,10 @@ class LSTMGradKernel : public framework::OpKernel<T> {
         lstm_grad.prev_state_grad = c0_g ? ordered_c0_g.data<T>() : nullptr;
       }
 
+      // lstm_value.output_value not used in bp, set to nullptr
+      // lstm_grad.state_active_grad not used in bp, set to nullptr
+      lstm_value.output_value = nullptr;
+      lstm_grad.state_active_grad = nullptr;
       int cur_batch_size = bend - bstart;
       math::LstmUnitGradFunctor<DeviceContext, T>::compute(
           device_ctx, lstm_value, lstm_grad, frame_size, cur_batch_size,
diff --git a/paddle/fluid/operators/lstmp_op.h b/paddle/fluid/operators/lstmp_op.h
index 370dd04d1449a8e211febf9a4f9e90e6f5008e20..1f11e57dcb721012c7b8e50d7e138355685053da 100644
--- a/paddle/fluid/operators/lstmp_op.h
+++ b/paddle/fluid/operators/lstmp_op.h
@@ -405,6 +405,11 @@ class LSTMPGradKernel : public framework::OpKernel<T> {
       }
 
       int cur_batch_size = bend - bstart;
+      // lstmp_value.output_value not used in bp, set to null
+      // lstmp_grad.state_active_grad not used in bp, set to null
+      lstmp_value.output_value = nullptr;
+      lstmp_grad.state_active_grad = nullptr;
+
       math::LstmUnitGradFunctor<DeviceContext, T>::compute(
           device_ctx, lstmp_value, lstmp_grad, frame_size, cur_batch_size,
           gate_act, cell_act, cand_act);
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]);