diff --git a/mindspore/lite/java/java/fl_client/src/main/java/com/mindspore/flclient/model/Client.java b/mindspore/lite/java/java/fl_client/src/main/java/com/mindspore/flclient/model/Client.java
index 40d9c70fe57..dc04f16b96f 100644
--- a/mindspore/lite/java/java/fl_client/src/main/java/com/mindspore/flclient/model/Client.java
+++ b/mindspore/lite/java/java/fl_client/src/main/java/com/mindspore/flclient/model/Client.java
@@ -277,13 +277,13 @@ public abstract class Client {
             Model model = new Model();
             boolean isSuccess = model.loadModel(modelPath);
             if (!isSuccess) {
-                logger.severe(Common.addTag("load model failed:" + modelPath));
+                logger.severe(Common.addTag("load model failed:" + modelPath+" ,please check model is valid or disk" +
+                "space is enough,please check lite log for detail."));
                 return Optional.empty();
             }
             trainSession = LiteSession.createSession(msConfig);
             if (trainSession == null) {
-                logger.severe(Common.addTag("init session failed,please check model :" + modelPath + " is valid or " +
-                        "disk space is enough"));
+                logger.severe(Common.addTag("init session failed.please check lite log for detail."));
                 msConfig.free();
                 model.free();
                 return Optional.empty();
@@ -291,7 +291,7 @@ public abstract class Client {
             msConfig.free();
             isSuccess = trainSession.compileGraph(model);
             if (!isSuccess) {
-                logger.severe(Common.addTag("compile graph failed:" + modelPath));
+                logger.severe(Common.addTag("compile graph failed,please check lite log for detail."));
                 model.free();
                 trainSession.free();
                 return Optional.empty();
@@ -302,7 +302,7 @@ public abstract class Client {
             trainSession = TrainSession.createTrainSession(modelPath, msConfig, false);
             if (trainSession == null) {
                 logger.severe(Common.addTag("init session failed,please check model :" + modelPath + " is valid or " +
-                        "disk space is enough"));
+                        "disk space is enough.please check lite log for detail."));
                 return Optional.empty();
             }
             return Optional.of(trainSession);
diff --git a/mindspore/lite/src/runtime/kernel/arm/base/reduce_base.cc b/mindspore/lite/src/runtime/kernel/arm/base/reduce_base.cc
index 9d09724c6c1..b0b15134ac3 100644
--- a/mindspore/lite/src/runtime/kernel/arm/base/reduce_base.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/base/reduce_base.cc
@@ -106,7 +106,7 @@ int ReduceBaseCPUKernel::Prepare() {
     MS_CHECK_FALSE_MSG((axes_tensor->data_type() != kNumberTypeInt && axes_tensor->data_type() != kNumberTypeInt32),
                        RET_ERROR, "The data type of axes tensor should be int32");
     num_axes_ = axes_tensor->ElementsNum();
-    if (num_axes_ <= 0 || num_axes_ > MAX_SHAPE_SIZE) {
+    if (axes_tensor->data() != nullptr && (num_axes_ <= 0 || num_axes_ > MAX_SHAPE_SIZE)) {
       MS_LOG(ERROR) << "input axes invalid.";
       return RET_ERROR;
     }