diff --git a/lite/kernels/mlu/bridges/conv_op.cc b/lite/kernels/mlu/bridges/conv_op.cc
index 67682c5d6cc79aa91a565dab0fd975e411676011..b32452180da78621540b671b92e2ccd27b86c075 100644
--- a/lite/kernels/mlu/bridges/conv_op.cc
+++ b/lite/kernels/mlu/bridges/conv_op.cc
@@ -32,6 +32,7 @@ int ConvConverter(void* ctx, OpLite* op, KernelBase* kernel) {
   const auto* op_info = op->op_info();
   const auto* scope = op->scope();
   VLOG(3) << "[MLU] Converting " << op_info->Type() << "... ";
+  CHECK(!op_info->HasAttr("act_type"));
 
   // get input, filter and op attributes
   const auto input_var_name = op_info->Input("Input").front();
diff --git a/lite/kernels/mlu/bridges/fc_op.cc b/lite/kernels/mlu/bridges/fc_op.cc
index b74b18bdbca3daed206294e8de85c471e09f1f18..b319374935e576172097564d936d987d7864bb47 100644
--- a/lite/kernels/mlu/bridges/fc_op.cc
+++ b/lite/kernels/mlu/bridges/fc_op.cc
@@ -34,7 +34,7 @@ int FCConverter(void* ctx, OpLite* op, KernelBase* kernel) {
   auto w_var_name = op_info->Input("W").front();
   auto output_var_name = op_info->Output("Out").front();
 
-  // int in_num_col_dims = op_info->GetAttr<int>("in_num_col_dims");
+  CHECK(!op_info->HasAttr("activation_type"));
   auto x = scope->FindVar(x_var_name)->GetMutable<Tensor>();
   auto w = scope->FindVar(w_var_name)->GetMutable<Tensor>();
   auto output = scope->FindVar(output_var_name)->GetMutable<Tensor>();