diff --git a/lite/core/memory.h b/lite/core/memory.h
index 18b9958911a6173c088b415369555235d63d184d..001db760a00596306e1004fbe062f497181b1a85 100644
--- a/lite/core/memory.h
+++ b/lite/core/memory.h
@@ -120,6 +120,7 @@ class Buffer {
     if (space_ > 0) {
       TargetFree(target_, data_);
     }
+    data_ = nullptr;
     target_ = TargetType::kHost;
     space_ = 0;
   }
diff --git a/lite/core/tensor.h b/lite/core/tensor.h
index a1141c613e29326a5f9ffb2fdc1427e3fbe84481..de08aa82f327ebfb9c84b121f6d411dbbab24ff6 100644
--- a/lite/core/tensor.h
+++ b/lite/core/tensor.h
@@ -176,6 +176,10 @@ class TensorLite {
         (static_cast<char *>(buffer_->data()) + offset_));
   }
 
+  void clear() {
+    buffer_->Free();
+    offset_ = 0;
+  }
   size_t data_size() const { return this->dims().production(); }
 
   size_t memory_size() const { return memory_size_; }
diff --git a/lite/kernels/arm/conditional_block_compute.cc b/lite/kernels/arm/conditional_block_compute.cc
index 225709b793d4718545a4077ba469c484fc8b36a3..f0bd43e1300d4034241c03d3e4ce27dcaa59c1e5 100644
--- a/lite/kernels/arm/conditional_block_compute.cc
+++ b/lite/kernels/arm/conditional_block_compute.cc
@@ -34,6 +34,9 @@ void ConditionalBlockCompute::PrepareForRun() {
 }
 void ConditionalBlockCompute::Run() {
   auto& param = Param<operators::ConditionalBlockParam>();
+  for (auto& out : param.outs) {
+    out->clear();
+  }
   bool need_run = true;
   if (param.is_scalar_condition) {
     auto* cond = param.cond;
diff --git a/lite/kernels/arm/split_lod_tensor_compute.cc b/lite/kernels/arm/split_lod_tensor_compute.cc
index 16603bc5fd5965e525122b76801281b0f48ccae7..8bb5e4ae6b182a8f02e5d72ca763ca0fb0d4122f 100644
--- a/lite/kernels/arm/split_lod_tensor_compute.cc
+++ b/lite/kernels/arm/split_lod_tensor_compute.cc
@@ -82,6 +82,10 @@ void SplitLodTensorCompute::Run() {
         ranges.begin(), ranges.end(), 0UL, [](size_t a, const CopyRange &b) {
           return a + b.end - b.begin;
         });
+    if (height == 0) {
+      out->clear();
+      continue;
+    }
     auto x_dim = x->dims();
     x_dim[0] = static_cast<int64_t>(height);
     out->Resize(x_dim);