diff --git a/csrc/mmdeploy/backend_ops/torchscript/optimizer/ir/subgraph_matcher.cpp b/csrc/mmdeploy/backend_ops/torchscript/optimizer/ir/subgraph_matcher.cpp
index d7df0704fc..6f188c5688 100644
--- a/csrc/mmdeploy/backend_ops/torchscript/optimizer/ir/subgraph_matcher.cpp
+++ b/csrc/mmdeploy/backend_ops/torchscript/optimizer/ir/subgraph_matcher.cpp
@@ -125,7 +125,7 @@ bool SubgraphMatcher::SubgraphMatcherImpl::matchAttributes(const Node* n1, Node*
                   "' did not match:\n", *n1, *n2);
       return false;
     }
-    std::vector<long int> n1is, n2is;
+    std::vector<int64_t> n1is, n2is;
     std::vector<double> n1fs, n2fs;
     switch (n1->kindOf(attr_name)) {
       case AttributeKind::s:
diff --git a/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/flatten_cls_head.cpp b/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/flatten_cls_head.cpp
index 5c7082f6ae..73f8965412 100644
--- a/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/flatten_cls_head.cpp
+++ b/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/flatten_cls_head.cpp
@@ -67,7 +67,7 @@ static bool matchClsHead(const Match& match, const std::unordered_map<std::strin
     if (!is_kind(const_node, "onnx::Constant")) return false;
     auto ival = const_node->t(Symbol::attr("value"));
     if (ival.dim() != 0) return false;
-    auto ival_dataptr = ival.data_ptr<long>();
+    auto ival_dataptr = ival.data_ptr<int64_t>();
     if (ival_dataptr[0] != 0) return false;
   }
 
diff --git a/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/fuse_select_assign.cpp b/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/fuse_select_assign.cpp
index b2904b909d..8dc5847753 100644
--- a/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/fuse_select_assign.cpp
+++ b/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/fuse_select_assign.cpp
@@ -65,7 +65,7 @@ bool FuseSelectAssign(Node* node, std::unordered_map<std::string, Tensor>& param
     Node* shape = values_map[vmap["reshape_1_shape"]]->node();
     auto shape_val = shape->t(Symbol::attr("value"));
     if (shape_val.dim() != 1) return false;
-    if (shape_val.data_ptr<long>()[0] != -1) return false;
+    if (shape_val.data_ptr<int64_t>()[0] != -1) return false;
   }
 
   {
@@ -83,7 +83,7 @@ bool FuseSelectAssign(Node* node, std::unordered_map<std::string, Tensor>& param
     Node* gather_inds = values_map[vmap["gather_inds_2"]]->node();
     auto inds_val = gather_inds->t(Symbol::attr("value"));
     if (inds_val.dim() != 0) return false;
-    if (inds_val.data_ptr<long>()[0] != 0) return false;
+    if (inds_val.data_ptr<int64_t>()[0] != 0) return false;
   }
 
   {
@@ -92,7 +92,7 @@ bool FuseSelectAssign(Node* node, std::unordered_map<std::string, Tensor>& param
     auto start_name = slice->inputs()[1]->debugName();
     auto start_val = params[start_name];
     if (start_val.dim() != 1) return false;
-    if (start_val.data_ptr<long>()[0] != 0) return false;
+    if (start_val.data_ptr<int64_t>()[0] != 0) return false;
   }
 
   // create new node
diff --git a/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/merge_shape_concate.cpp b/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/merge_shape_concate.cpp
index 47fc8c205f..ad0551fa1b 100644
--- a/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/merge_shape_concate.cpp
+++ b/csrc/mmdeploy/backend_ops/torchscript/optimizer/passes/onnx/merge_shape_concate.cpp
@@ -18,7 +18,7 @@ using torch::jit::Value;
 void MergeShapeConcate(Node* node) {
   auto inputs = node->inputs();
 
-  std::vector<long> gather_value;
+  std::vector<int64_t> gather_value;
   Value* shape_from = nullptr;
 
   std::vector<Node*> node_to_remove{node};
@@ -54,7 +54,7 @@ void MergeShapeConcate(Node* node) {
     if (!is_kind(constant_node, "onnx::Constant")) return;
 
     auto gather_indices_val = constant_node->t(Symbol::attr("value"));
-    long* data_ptr = gather_indices_val.data_ptr<long>();
+    int64_t* data_ptr = gather_indices_val.data_ptr<int64_t>();
     if (gather_indices_val.dim() == 0) {
       gather_value.push_back(data_ptr[0]);
     } else {