diff --git a/ge/graph/passes/infer_value_range_pass.cc b/ge/graph/passes/infer_value_range_pass.cc
index b9cb88bc..e714e90a 100644
--- a/ge/graph/passes/infer_value_range_pass.cc
+++ b/ge/graph/passes/infer_value_range_pass.cc
@@ -286,6 +286,9 @@ graphStatus InferValueRangePass::GenerateWorstValueRange(NodePtr &node) {
     }
 
     std::vector<std::pair<int64_t, int64_t>> output_i_value_range(output_i_shape_size, {1, -1});
+    if (output_i_shape.IsScalar()) {
+      output_i_value_range.emplace_back(1, -1);
+    }
     output_desc->SetValueRange(output_i_value_range);
     GELOGD("Node %s output %zu shape is %s, the generated worst value range is %s.", node->GetName().c_str(), i,
            formats::ShapeToString(output_i_shape).c_str(), formats::RangeToString(output_i_value_range).c_str());
diff --git a/ge/graph/passes/replace_with_empty_const_pass.cc b/ge/graph/passes/replace_with_empty_const_pass.cc
index 3176d1ee..6cb31627 100644
--- a/ge/graph/passes/replace_with_empty_const_pass.cc
+++ b/ge/graph/passes/replace_with_empty_const_pass.cc
@@ -71,7 +71,7 @@ Status ReplaceWithEmptyConstPass::Run(NodePtr &node) {
       GELOGI("Node %s Got empty output_desc_ptr, ignore current pass.", node->GetName().c_str());
       return SUCCESS;
     }
-    if (!IsEmptyTenor(output_desc_ptr->GetShape())) {
+    if (!IsKnownEmptyTenor(output_desc_ptr->GetShape())) {
       is_all_output_empty = false;
       break;
     }
@@ -107,12 +107,16 @@ Status ReplaceWithEmptyConstPass::GetOutputsOfCurrNode(const NodePtr &node_to_re
   return SUCCESS;
 }
 
-bool ReplaceWithEmptyConstPass::IsEmptyTenor(const GeShape &shape) const {
+bool ReplaceWithEmptyConstPass::IsKnownEmptyTenor(const GeShape &shape) const {
+  bool is_known_empty_tensor = false;
   for (auto dim : shape.GetDims()) {
-    if (dim == 0) {
-      return true;
+    if (dim < 0) {
+      // current dim is unknown dim, skip replace
+      return false;
+    } else if (dim == 0) {
+      is_known_empty_tensor = true;
     }
   }
-  return false;
+  return is_known_empty_tensor;
 }
 }  // namespace ge
diff --git a/ge/graph/passes/replace_with_empty_const_pass.h b/ge/graph/passes/replace_with_empty_const_pass.h
index fde75358..90103432 100644
--- a/ge/graph/passes/replace_with_empty_const_pass.h
+++ b/ge/graph/passes/replace_with_empty_const_pass.h
@@ -26,7 +26,7 @@ class ReplaceWithEmptyConstPass : public FoldingPass {
 
  private:
   Status GetOutputsOfCurrNode(const NodePtr &node_to_replace, vector<GeTensorPtr> &outputs);
-  bool IsEmptyTenor(const GeShape &shape) const;
+  bool IsKnownEmptyTenor(const GeShape &shape) const;
 };
 }  // namespace ge
 #endif  // GE_GRAPH_PASSES_REPLACE_WITH_EMPTY_CONST_PASS_H_
diff --git a/tests/ut/ge/graph/passes/infer_value_range_pass_unittest.cc b/tests/ut/ge/graph/passes/infer_value_range_pass_unittest.cc
index fea1b27d..576d679c 100644
--- a/tests/ut/ge/graph/passes/infer_value_range_pass_unittest.cc
+++ b/tests/ut/ge/graph/passes/infer_value_range_pass_unittest.cc
@@ -362,6 +362,54 @@ TEST_F(UtestGraphInferValueRangePass, CallRun_NoSubgraph_UseCpuKernel_InputsHave
   EXPECT_EQ(unknown_target_value_range, output_value_range);
 }
 
+TEST_F(UtestGraphInferValueRangePass, CallRun_NoSubgraph_UseCpuKernel_InputsHaveUnKnownValueRange_ScalarOutput) {
+  // shape --- add --- sqrt
+  // constant /
+  auto graph = std::make_shared<ComputeGraph>("test_graph");
+  vector<int64_t> data_vec = {1};
+  GeTensorDesc const_tensor_desc(ge::GeShape(), ge::FORMAT_NCHW, ge::DT_INT64);
+  GeTensorPtr const_tensor =
+      std::make_shared<ge::GeTensor>(const_tensor_desc, (uint8_t *)data_vec.data(), data_vec.size() * sizeof(int64_t));
+
+  auto const_op_desc = std::make_shared<OpDesc>("Constant", "Constant");
+  const_op_desc->AddOutputDesc(const_tensor_desc);
+  EXPECT_EQ(OpDescUtils::SetWeights(const_op_desc, const_tensor), GRAPH_SUCCESS);
+  auto const_node = graph->AddNode(const_op_desc);
+
+  GeTensorDesc shape_tensor_desc(GeShape(), ge::FORMAT_NCHW, ge::DT_INT64);
+  std::vector<std::pair<int64_t, int64_t>> unknown_value_range = {make_pair(1, -1)};
+  shape_tensor_desc.SetValueRange(unknown_value_range);
+  auto shape_op_desc = std::make_shared<OpDesc>("Shape", "Shape");
+  shape_op_desc->AddOutputDesc(shape_tensor_desc);
+  auto shape_node = graph->AddNode(shape_op_desc);
+
+  GeTensorDesc add_tensor_desc(GeShape(), ge::FORMAT_NCHW, ge::DT_INT64);
+  auto add_op_desc = std::make_shared<OpDesc>("Add", "Add");
+  add_op_desc->AddInputDesc(shape_tensor_desc);
+  add_op_desc->AddInputDesc(const_tensor_desc);
+  add_op_desc->AddOutputDesc(add_tensor_desc);
+  auto add_node = graph->AddNode(add_op_desc);
+
+  ge::GraphUtils::AddEdge(shape_node->GetOutDataAnchor(0), add_node->GetInDataAnchor(0));
+  ge::GraphUtils::AddEdge(const_node->GetOutDataAnchor(0), add_node->GetInDataAnchor(1));
+
+  // test unknown value range
+  InferValueRangePass infer_pass;
+  EXPECT_EQ(infer_pass.Run(add_node), SUCCESS);
+  auto output_0_desc = add_node->GetOpDesc()->GetOutputDesc(0);
+  std::vector<std::pair<int64_t, int64_t>> out_value_range;
+  output_0_desc.GetValueRange(out_value_range);
+  EXPECT_EQ(out_value_range.size(), 1);
+
+  std::vector<int64_t> unknown_target_value_range = {1, -1};
+  std::vector<int64_t> output_value_range;
+  for (auto pair : out_value_range) {
+    output_value_range.push_back(pair.first);
+    output_value_range.push_back(pair.second);
+  }
+  EXPECT_EQ(unknown_target_value_range, output_value_range);
+}
+
 TEST_F(UtestGraphInferValueRangePass, CallRun_NoSubgraph_UseCpuKernel_InputsAreKnownValueRange_Int64) {
   // shape --- add --- sqrt
   // constant /