diff --git a/mindspore/lite/src/lite_session.cc b/mindspore/lite/src/lite_session.cc
index 6fa10cbef3..b499d18771 100644
--- a/mindspore/lite/src/lite_session.cc
+++ b/mindspore/lite/src/lite_session.cc
@@ -455,7 +455,7 @@ int LiteSession::ResizeInputs(const std::vector<mindspore::tensor::MSTensor *> &
       MS_LOG(ERROR) << "Input[" << i << "] tensor is not equal to the inputs have been saved!";
       return RET_PARAM_INVALID;
     }
-
+    inputs_[i]->FreeData();
     inputs_[i]->set_shape(dims[i]);
   }
   return RET_OK;
@@ -463,6 +463,7 @@ int LiteSession::ResizeInputs(const std::vector<mindspore::tensor::MSTensor *> &
 
 void LiteSession::ResetInputsShape(const std::vector<std::vector<int>> &dims) {
   for (size_t i = 0; i < inputs_.size(); ++i) {
+    inputs_[i]->FreeData();
     inputs_[i]->set_shape(dims[i]);
   }
 }
diff --git a/mindspore/lite/src/scheduler.cc b/mindspore/lite/src/scheduler.cc
index 49b712ab8d..44e9b39843 100644
--- a/mindspore/lite/src/scheduler.cc
+++ b/mindspore/lite/src/scheduler.cc
@@ -66,6 +66,9 @@ int Scheduler::ReSizeKernels(const std::vector<kernel::LiteKernel *> &kernels) {
     }
     std::vector<Tensor *> &inputs = kernels[i]->in_tensors();
     std::vector<Tensor *> &outputs = kernels[i]->out_tensors();
+    for (size_t j = 0; j < outputs.size(); j++) {
+      outputs[j]->FreeData();
+    }
     primitive->SetInferFlag(!infer_shape_interrupt);
     auto ret = primitive->InferShape(inputs, outputs);
     if (ret == RET_INFER_INVALID) {