diff --git a/mindspore/ccsrc/utils/tensorprint_utils.cc b/mindspore/ccsrc/utils/tensorprint_utils.cc
index b34944cf215442f8a01e52c5af1c1676cacdd4a7..56f0f13f4b9a354e56c42c605189c5fb626e84d5 100644
--- a/mindspore/ccsrc/utils/tensorprint_utils.cc
+++ b/mindspore/ccsrc/utils/tensorprint_utils.cc
@@ -32,6 +32,7 @@
 namespace mindspore {
 const char kShapeSeperator[] = ",";
 const char kShapeScalar[] = "[0]";
+const char kShapeNone[] = "[]";
 static std::map<std::string, TypeId> print_type_map = {
   {"int8_t", TypeId::kNumberTypeInt8},     {"uint8_t", TypeId::kNumberTypeUInt8},
   {"int16_t", TypeId::kNumberTypeInt16},   {"uint16_t", TypeId::kNumberTypeUInt16},
@@ -163,9 +164,9 @@ bool ConvertDataItem2Tensor(const std::vector<tdt::DataItem> &items) {
     }
     std::shared_ptr<std::string> str_data_ptr = std::static_pointer_cast<std::string>(item.dataPtr_);
     MS_EXCEPTION_IF_NULL(str_data_ptr);
-    if (item.tensorShape_ == kShapeScalar) {
+    if (item.tensorShape_ == kShapeScalar || item.tensorShape_ == kShapeNone) {
       if (!judgeLengthValid(str_data_ptr->size(), item.tensorType_)) {
-        MS_LOG(EXCEPTION) << "Print op receive data length is  invalid.";
+        MS_LOG(EXCEPTION) << "Print op receive data length is invalid.";
       }
       convertDataItem2Scalar(str_data_ptr->data(), item.tensorType_, &buf);
       continue;