diff --git a/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/reshape_infer.c b/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/reshape_infer.c
index 3899e512b04..d9390fae67c 100644
--- a/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/reshape_infer.c
+++ b/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/reshape_infer.c
@@ -32,14 +32,12 @@ int CalShape(const int *data, const TensorC *const *inputs, int *out_shape, size
     }
     ShapePush(out_shape, out_shape_size, data[i]);
   }
-  if (size == 0) {
-    return NNACL_ERR;
-  }
+
   if ((int)(data[index]) == -1) {
     if (index >= MAX_SHAPE_SIZE) {
       return NNACL_ERR;
     }
-    out_shape[index] = input_count / size;
+    out_shape[index] = size == 0 ? 0 : input_count / size;
   }
   return NNACL_OK;
 }
diff --git a/mindspore/lite/java/src/main/java/com/mindspore/MSTensor.java b/mindspore/lite/java/src/main/java/com/mindspore/MSTensor.java
index 80865d706e8..434a7988a07 100644
--- a/mindspore/lite/java/src/main/java/com/mindspore/MSTensor.java
+++ b/mindspore/lite/java/src/main/java/com/mindspore/MSTensor.java
@@ -52,7 +52,8 @@ public class MSTensor {
      * @param buffer     tensor buffer
      */
     public static MSTensor createTensor(String tensorName, int dataType, int[] tensorShape, ByteBuffer buffer) {
-        if (tensorName == null || tensorShape == null || buffer == null) {
+        if (tensorName == null || tensorShape == null || buffer == null || dataType < DataType.kNumberTypeBool ||
+            dataType > DataType.kNumberTypeFloat64) {
             return null;
         }
         long tensorPtr = createTensorByNative(tensorName, dataType, tensorShape, buffer);
diff --git a/mindspore/lite/java/src/main/java/com/mindspore/ModelParallelRunner.java b/mindspore/lite/java/src/main/java/com/mindspore/ModelParallelRunner.java
index 64292f56741..03ca4ab1082 100644
--- a/mindspore/lite/java/src/main/java/com/mindspore/ModelParallelRunner.java
+++ b/mindspore/lite/java/src/main/java/com/mindspore/ModelParallelRunner.java
@@ -56,36 +56,50 @@ public class ModelParallelRunner {
     }
 
     /**
-     * Build a model runner from model path so that it can run on a device. 
+     * Build a model runner from model path so that it can run on a device.
      *
      * @param modelPath    the model path.
      * @param runnerConfig the RunnerConfig Object.
      * @return init status.
      */
     public boolean init(String modelPath, RunnerConfig runnerConfig) {
+        rwLock.writeLock().lock();
         if (runnerConfig == null || modelPath == null) {
+            rwLock.writeLock().unlock();
             return false;
         }
+        if (modelParallelRunnerPtr != 0L){
+            rwLock.writeLock().unlock();
+            return true;
+        }
         modelParallelRunnerPtr = this.init(modelPath, runnerConfig.getRunnerConfigPtr());
+        rwLock.writeLock().unlock();
         return modelParallelRunnerPtr != 0L;
     }
 
     /**
-     * Build a model runner from model path so that it can run on a device. 
+     * Build a model runner from model path so that it can run on a device.
      *
      * @param modelPath the model path.
      * @return init status.
      */
     public boolean init(String modelPath) {
+        rwLock.writeLock().lock();
         if (modelPath == null) {
+            rwLock.writeLock().unlock();
             return false;
         }
+        if (modelParallelRunnerPtr != 0L){
+            rwLock.writeLock().unlock();
+            return true;
+        }
         modelParallelRunnerPtr = this.init(modelPath, 0L);
+        rwLock.writeLock().unlock();
         return modelParallelRunnerPtr != 0;
     }
 
     /**
-     * Build a model runner from model path so that it can run on a device. 
+     * Build a model runner from model path so that it can run on a device.
      *
      * @param inputs  inputs A vector where model inputs are arranged in sequence.
      * @param outputs outputs Which is a pointer to a vector. The model outputs are filled in the container in sequence.
@@ -197,11 +211,12 @@ public class ModelParallelRunner {
             break;
         }
         rwLock.writeLock().lock();
-        if (modelParallelRunnerPtr != 0L) {
-            this.free(modelParallelRunnerPtr);
-            modelParallelRunnerPtr = 0L;
-        }
+        long modelParallelRunnerTempPtr = modelParallelRunnerPtr;
+        modelParallelRunnerPtr = 0L;
         rwLock.writeLock().unlock();
+        if (modelParallelRunnerTempPtr != 0L) {
+            this.free(modelParallelRunnerTempPtr);
+        }
     }
 
     private native long init(String modelPath, long runnerConfigPtr);