diff --git a/tf_adapter_2.x/npu_device/core/npu_managed_buffer.cpp b/tf_adapter_2.x/npu_device/core/npu_managed_buffer.cpp
index 82decffc57b5f8af892dfe11c6248046d8337944..feaa6d7fce708a14a23dea91d59930c4943cf5de 100644
--- a/tf_adapter_2.x/npu_device/core/npu_managed_buffer.cpp
+++ b/tf_adapter_2.x/npu_device/core/npu_managed_buffer.cpp
@@ -239,9 +239,9 @@ tensorflow::Status NpuManagedBuffer::Create(ge::Format format, const std::vector
       break;
     }
     NPU_REQUIRES(dim_size >= 0, tensorflow::errors::InvalidArgument("Dim size invalid for shape ", VecToString(shape)));
-    NPU_REQUIRES(total_bytes <= total_bytes * dim_size,
+    NPU_REQUIRES(total_bytes <= total_bytes * static_cast<size_t>(dim_size),
                  tensorflow::errors::InvalidArgument("Total bytes overflow for shape ", VecToString(shape)));
-    total_bytes *= dim_size;
+    total_bytes *= static_cast<size_t>(dim_size);
   }
   void *data = nullptr;
   NPU_REQUIRES_OK(NpuMemory::Malloc(total_bytes, &data));
diff --git a/tf_adapter_2.x/npu_device/core/npu_types.h b/tf_adapter_2.x/npu_device/core/npu_types.h
index 26137888f255a103fa5da910c229d3ae32245367..7fed0f3d376311565f058b1e8077763d39eb3dc0 100644
--- a/tf_adapter_2.x/npu_device/core/npu_types.h
+++ b/tf_adapter_2.x/npu_device/core/npu_types.h
@@ -36,7 +36,7 @@ const static uint64_t kEmptyGeGraphId = -2;
 
 class ResourceGenerator {
  public:
-  ResourceGenerator(std::shared_ptr<tensorflow::NodeDef> def, int index) : def_(def), index_(index) {}
+  ResourceGenerator(const std::shared_ptr<tensorflow::NodeDef> def, int index) : def_(def), index_(index) {}
   std::shared_ptr<tensorflow::NodeDef> NodeDef() const { return def_; }
   int Index() const { return index_; }
 
diff --git a/tf_adapter_2.x/npu_device/core/npu_utils.cpp b/tf_adapter_2.x/npu_device/core/npu_utils.cpp
index f7953dd2e6d5b0e58eb33db92edf5b7c553e0013..c6f120a2f2c5ac9ee5e9138756ce609e9fa701f0 100644
--- a/tf_adapter_2.x/npu_device/core/npu_utils.cpp
+++ b/tf_adapter_2.x/npu_device/core/npu_utils.cpp
@@ -326,7 +326,7 @@ tensorflow::Status GetSubgraphUnsupportedOps(const NpuDevice *device, const tens
   return tensorflow::Status::OK();
 }
 
-tensorflow::Status GetGraphUnsupportedOps(NpuDevice *device, tensorflow::Graph *graph,
+tensorflow::Status GetGraphUnsupportedOps(NpuDevice *device, const tensorflow::Graph *graph,
                                           const tensorflow::FunctionLibraryDefinition *lib_def,
                                           std::set<std::string> &unsupported_ops) {
   for (auto node : graph->op_nodes()) {
@@ -458,7 +458,7 @@ uint64_t NextUUID() {
  * @brief: fix graph arg return value index
  * @param graph: graph
  */
-void FixGraphArgRetvalIndex(tensorflow::Graph *graph) {
+void FixGraphArgRetvalIndex(const tensorflow::Graph *graph) {
   std::map<int, tensorflow::Node *> indexed_args;
   std::map<int, tensorflow::Node *> indexed_retvals;
   for (auto node : graph->nodes()) {
@@ -550,7 +550,7 @@ size_t CreateChannelCapacity(const npu::TensorPartialShapes &shapes, const npu::
     } else {
       result = shapes[i].num_elements() * tensorflow::DataTypeSize(data_type);
     }
-    if (result > kSizeTMaxsize - total_sizes) {
+    if (result > kSizeTMaxsize - static_cast<int64_t>(total_sizes)) {
       return kInvalidCpacity;
     }
     total_sizes += static_cast<size_t>(result);
diff --git a/tf_adapter_2.x/npu_device/core/npu_utils.h b/tf_adapter_2.x/npu_device/core/npu_utils.h
index e7ef6f21c111e4eb62df41fb929cb22449f22068..28b8eb1d53f7f034460422c54ddea69232708584 100644
--- a/tf_adapter_2.x/npu_device/core/npu_utils.h
+++ b/tf_adapter_2.x/npu_device/core/npu_utils.h
@@ -108,7 +108,7 @@ struct ResourceCompare {
 void PruneGraphByFunctionSignature(const tensorflow::FunctionDef &fdef, tensorflow::Graph *g,
                                    bool keep_signature = false);
 
-void FixGraphArgRetvalIndex(tensorflow::Graph *graph);
+void FixGraphArgRetvalIndex(const tensorflow::Graph *graph);
 
 bool IsSubstituteNode(const tensorflow::Node *node);
 
@@ -124,7 +124,7 @@ std::set<std::string> GetNodeSubgraph(const tensorflow::Node *node);
 tensorflow::Status GetSubgraphUnsupportedOps(const NpuDevice *device, const tensorflow::Node *node,
                                              const tensorflow::FunctionLibraryDefinition *lib_def,
                                              std::set<std::string> &unsupported_ops);
-tensorflow::Status GetGraphUnsupportedOps(NpuDevice *device, tensorflow::Graph *graph,
+tensorflow::Status GetGraphUnsupportedOps(NpuDevice *device, const tensorflow::Graph *graph,
                                           const tensorflow::FunctionLibraryDefinition *lib_def,
                                           std::set<std::string> &unsupported_ops);
 
diff --git a/tf_adapter_2.x/npu_device/core/op_executors/npu_resource_op.cpp b/tf_adapter_2.x/npu_device/core/op_executors/npu_resource_op.cpp
index 3656edf767fb10438641916bb618fbd86762a432..966c96de8feac51604fee0913448c05e96e8f44b 100644
--- a/tf_adapter_2.x/npu_device/core/op_executors/npu_resource_op.cpp
+++ b/tf_adapter_2.x/npu_device/core/op_executors/npu_resource_op.cpp
@@ -115,7 +115,7 @@ void NpuResourceOp::RunImpl(TFE_Context *context, NpuDevice *device, int num_inp
     for (int i = 0; i < num_inputs; i++) {
       if (types[static_cast<size_t>(i)] == tensorflow::DT_RESOURCE) {
         std::shared_ptr<ResourceGenerator> generator = nullptr;
-        const auto &handle = npu_resources[resource_index++];
+        const auto &handle = npu_resources[static_cast<size_t>(resource_index++)];
         device->GetResourceGeneratorDef(handle, &generator);
         NPU_CTX_REQUIRES(status, generator != nullptr,
                          tensorflow::errors::Internal("Unknown npu resource ", handle.DebugString()));
@@ -131,7 +131,7 @@ void NpuResourceOp::RunImpl(TFE_Context *context, NpuDevice *device, int num_inp
       } else {
         tensorflow::Node *node = nullptr;
         NPU_CTX_REQUIRES_OK(status, tensorflow::NodeBuilder("arg_" + std::to_string(i), "_Arg")
-                                      .Attr("T", types[i])
+                                      .Attr("T", types[static_cast<size_t>(i)])
                                       .Attr("index", arg_index++)
                                       .Attr("_output_shapes", {shapes[static_cast<size_t>(i)]})
                                       .Finalize(graph.get(), &node));
@@ -146,7 +146,7 @@ void NpuResourceOp::RunImpl(TFE_Context *context, NpuDevice *device, int num_inp
       tensorflow::Node *node = nullptr;
       NPU_CTX_REQUIRES_OK(status, tensorflow::NodeBuilder("ret_" + std::to_string(i), "_Retval")
                                     .Input(target_node, i)
-                                    .Attr("T", output_types[i])
+                                    .Attr("T", output_types[static_cast<size_t>(i)])
                                     .Attr("index", i)
                                     .Finalize(graph.get(), &node));
     }
@@ -159,7 +159,7 @@ void NpuResourceOp::RunImpl(TFE_Context *context, NpuDevice *device, int num_inp
       std::string suffix = npu_resources[0].name();
       for (int i = 1; i < static_cast<int>(npu_resources.size()); i++) {
         suffix += ".";
-        suffix += npu_resources[i].name();
+        suffix += npu_resources[static_cast<size_t>(i)].name();
       }
       graph_dumper.Dump(suffix, graph->ToGraphDefDebug());
     }