diff --git a/mindspore/lite/src/ops/conv2d_grad_filter.cc b/mindspore/lite/src/ops/conv2d_grad_filter.cc
index aa403d2e45..b32b540172 100644
--- a/mindspore/lite/src/ops/conv2d_grad_filter.cc
+++ b/mindspore/lite/src/ops/conv2d_grad_filter.cc
@@ -152,9 +152,9 @@ int Conv2DGradFilter::UnPackAttr(const Primitive &prim, const std::vector<AnfNod
           const int nchw2nhwc[] = {0, 3, 1, 2};
           attr->filter_shape.resize(valTuplPtr->size());
           for (size_t i = 0; i < valTuplPtr->size(); i++) {
-            auto elem = dyn_cast<Int32Imm>((*valTuplPtr)[i]);
+            auto elem = (*valTuplPtr)[i];
             MS_ASSERT(elem != nullptr);
-            attr->filter_shape[nchw2nhwc[i]] = elem->value();
+            attr->filter_shape[nchw2nhwc[i]] = CastToInt(elem, false).front();
           }
         }
       }
diff --git a/mindspore/lite/src/ops/conv2d_grad_input.cc b/mindspore/lite/src/ops/conv2d_grad_input.cc
index 26a85610c4..7c6dd6e520 100644
--- a/mindspore/lite/src/ops/conv2d_grad_input.cc
+++ b/mindspore/lite/src/ops/conv2d_grad_input.cc
@@ -154,9 +154,9 @@ int Conv2DGradInput::UnPackAttr(const Primitive &prim, const std::vector<AnfNode
           const int nchw2nhwc[] = {0, 3, 1, 2};
           attr->input_shape.resize(valTuplPtr->size());
           for (size_t i = 0; i < valTuplPtr->size(); i++) {
-            auto elem = dyn_cast<Int32Imm>((*valTuplPtr)[i]);
+            auto elem = (*valTuplPtr)[i];
             MS_ASSERT(elem != nullptr);
-            attr->input_shape[nchw2nhwc[i]] = elem->value();
+            attr->input_shape[nchw2nhwc[i]] = CastToInt(elem, false).front();
           }
         }
       }
diff --git a/mindspore/lite/src/ops/reduce.cc b/mindspore/lite/src/ops/reduce.cc
index 205092f20a..786485178e 100644
--- a/mindspore/lite/src/ops/reduce.cc
+++ b/mindspore/lite/src/ops/reduce.cc
@@ -82,9 +82,9 @@ int Reduce::UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inp
           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]);
+            auto elem = (*valTuplPtr)[i];
             MS_ASSERT(elem != nullptr);
-            attr->axes.emplace_back(elem->value());
+            attr->axes.emplace_back(CastToInt(elem, false).front());
           }
         } else {
           int axes_item = CastToInt(value, false).front();
diff --git a/mindspore/lite/src/ops/slice.cc b/mindspore/lite/src/ops/slice.cc
index c36fcce858..8fd6c6c119 100644
--- a/mindspore/lite/src/ops/slice.cc
+++ b/mindspore/lite/src/ops/slice.cc
@@ -71,9 +71,9 @@ int Slice::UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inpu
           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]);
+            auto elem = (*valTuplPtr)[i];
             MS_ASSERT(elem != nullptr);
-            attr->begin.emplace_back(elem->value());
+            attr->begin.emplace_back(CastToInt(elem, false).front());
           }
         }
       }
@@ -88,9 +88,9 @@ int Slice::UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &inpu
           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]);
+            auto elem = (*valTuplPtr)[i];
             MS_ASSERT(elem != nullptr);
-            attr->size.emplace_back(elem->value());
+            attr->size.emplace_back(CastToInt(elem, false).front());
           }
         }
       }
diff --git a/mindspore/lite/src/ops/tile.cc b/mindspore/lite/src/ops/tile.cc
index 303be8ed37..893877e95c 100644
--- a/mindspore/lite/src/ops/tile.cc
+++ b/mindspore/lite/src/ops/tile.cc
@@ -70,9 +70,9 @@ int Tile::UnPackAttr(const Primitive &prim, const std::vector<AnfNodePtr> &input
           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]);
+            auto elem = (*valTuplPtr)[i];
             MS_ASSERT(elem != nullptr);
-            attr->multiples.emplace_back(elem->value());
+            attr->multiples.emplace_back(CastToInt(elem, false).front());
           }
         } else {
           int multiple = CastToInt(value, false).front();
diff --git a/mindspore/lite/tools/anf_exporter/anf_exporter.cc b/mindspore/lite/tools/anf_exporter/anf_exporter.cc
index 7ce2a813b1..b94072a575 100644
--- a/mindspore/lite/tools/anf_exporter/anf_exporter.cc
+++ b/mindspore/lite/tools/anf_exporter/anf_exporter.cc
@@ -408,7 +408,7 @@ int AnfExporter::ConvertInputValueNode(std::shared_ptr<AnfNode> input_anode,
     node_id_map_[valueNode->fullname_with_scope()] = meta_graphT->allTensors.size();
     output_cnode->inputIndex.emplace_back(meta_graphT->allTensors.size());
     meta_graphT->allTensors.emplace_back(std::move(paramTensor));
-  } else if (value->isa<mindspore::Int32Imm>()) {
+  } else if (value->isa<mindspore::Int32Imm>() || value->isa<mindspore::Int64Imm>()) {
     auto valueAbstract = valueNode->abstract();
     auto abstractScalar = utils::cast<abstract::AbstractScalarPtr>(valueAbstract);
     auto typePtr = abstractScalar->GetTypeTrack();