diff --git a/mindspore/lite/src/common/anf_exporter/anf_exporter.cc b/mindspore/lite/src/common/anf_exporter/anf_exporter.cc
index e375bcaf4ae36ce31c9b050b76a84efd0cca04a9..1e36068b3ca2b5cc55694944cdf61a6bbc7babbe 100644
--- a/mindspore/lite/src/common/anf_exporter/anf_exporter.cc
+++ b/mindspore/lite/src/common/anf_exporter/anf_exporter.cc
@@ -241,6 +241,9 @@ void AnfExporter::SetOpInputNode(const CNodePtr &cnode, schema::MetaGraphT *meta
         nodeIdMap[valueNode->fullname_with_scope()] = meta_graph->allTensors.size();
         fbNode->inputIndex.emplace_back(meta_graph->allTensors.size());
         meta_graph->allTensors.emplace_back(std::move(paramTensor));
+      } else if (value->isa<mindspore::ValueSequeue>()) {
+        MS_LOG(INFO) << "Value type is ValueSequence.";
+        break;
       } else {
         MS_LOG(ERROR) << "Not support value type , need add support.";
       }
diff --git a/mindspore/lite/src/common/anf_exporter/anf_populater/anf_reducemean_populater.cc b/mindspore/lite/src/common/anf_exporter/anf_populater/anf_reducemean_populater.cc
index e7f5f71ff492f1ecf9cafa8f3c36b01ea9243274..8ec0a93cfeb152508cb4676d28fdd0e406c7e347 100644
--- a/mindspore/lite/src/common/anf_exporter/anf_populater/anf_reducemean_populater.cc
+++ b/mindspore/lite/src/common/anf_exporter/anf_populater/anf_reducemean_populater.cc
@@ -21,6 +21,10 @@
 #include "ir/primitive.h"
 
 namespace mindspore::lite {
+namespace {
+  constexpr int kReduceInputNum = 3;
+  constexpr int kReduceInputIndex = 2;
+}
 int mindspore::lite::AnfReduceMeanPopulater::Parse(CNodePtr cnodePtr, schema::CNodeT *node,
                                                 std::vector<schema::TensorT *> *outputs) {
   auto p = GetCNodePrimitive(cnodePtr);
@@ -28,7 +32,25 @@ int mindspore::lite::AnfReduceMeanPopulater::Parse(CNodePtr cnodePtr, schema::CN
   attr->mode = schema::ReduceMode_ReduceMean;
 
   attr->keepDims = GetValue<bool>(p->GetAttr("keep_dims"));
-  // attr->axes = GetValue<std::vector<int>>(p->GetAttr("shape"));
+  if (cnodePtr->inputs().size() == kReduceInputNum) {
+    auto inputNode = cnodePtr->input(kReduceInputIndex);
+    MS_ASSERT(inputNode != nullptr);
+    if (inputNode->isa<ValueNode>()) {
+      auto valueNode = inputNode->cast<ValueNodePtr>();
+      MS_ASSERT(valueNode != nullptr);
+      auto value = valueNode->value();
+      MS_ASSERT(value != nullptr);
+      if (value->isa<ValueTuple>()) {
+        auto valTuplPtr = dyn_cast<ValueTuple>(value);
+        MS_ASSERT(valTuplPtr != nullptr);
+        for (size_t i = 0; i < valTuplPtr->size(); i++) {
+          auto elem = dyn_cast<Int32Imm>((*valTuplPtr)[i]);
+          MS_ASSERT(elem != nullptr);
+          attr->axes.emplace_back(elem->value());
+        }
+      }
+    }
+  }
 
   node->nodeType = schema::NodeType_CNode;
   node->primitive = std::make_unique<schema::PrimitiveT>();