diff --git a/src/opr/impl/dnn/convolution.cpp b/src/opr/impl/dnn/convolution.cpp
index 39f8f4a8558e50c92a6e2ce4ad813c0570fadfe7..bd23381234657bcab6b45b4a6714ebe572117829 100644
--- a/src/opr/impl/dnn/convolution.cpp
+++ b/src/opr/impl/dnn/convolution.cpp
@@ -1039,10 +1039,7 @@ void ConvolutionForward::init_output_format() {
 }
 
 void ConvolutionForward::scn_do_execute() {
-    if (input(1)->contain_flag(VarNode::Flag::PERSISTENT_DEVICE_VALUE) &&
-        cg::is_const_var_value(input(1))) {
-        update_preprocessed_filter();
-    }
+    update_preprocessed_filter();
     megdnn_opr()->exec(input(0)->dev_tensor().as_megdnn(),
                        input(1)->dev_tensor().as_megdnn(),
                        output(0)->dev_tensor().as_megdnn(),
@@ -1606,8 +1603,7 @@ void ConvBiasForward::scn_do_execute() {
         megdnn::TensorND z_tensor{nullptr, z_layout};
         mo->exec(inp[0]->dev_tensor().as_megdnn(),
                  inp[1]->dev_tensor().as_megdnn(), bias_tensor, z_tensor,
-                 output(0)->dev_tensor().as_megdnn(),
-                 nullptr,
+                 output(0)->dev_tensor().as_megdnn(), preprocessed_filter(),
                  intl::get_megdnn_workspace_from_var(output().back()));
 
     } else if (inp.size() == 3) {
@@ -1619,8 +1615,7 @@ void ConvBiasForward::scn_do_execute() {
         mo->exec(inp[0]->dev_tensor().as_megdnn(),
                  inp[1]->dev_tensor().as_megdnn(),
                  inp[2]->dev_tensor().as_megdnn(), z_tensor,
-                 output(0)->dev_tensor().as_megdnn(),
-                 nullptr,
+                 output(0)->dev_tensor().as_megdnn(), preprocessed_filter(),
                  intl::get_megdnn_workspace_from_var(output().back()));
     } else {
         mgb_assert(inp.size() == 4);
@@ -1628,8 +1623,7 @@ void ConvBiasForward::scn_do_execute() {
                  inp[1]->dev_tensor().as_megdnn(),
                  inp[2]->dev_tensor().as_megdnn(),
                  inp[3]->dev_tensor().as_megdnn(),
-                 output(0)->dev_tensor().as_megdnn(),
-                 nullptr,
+                 output(0)->dev_tensor().as_megdnn(), preprocessed_filter(),
                  intl::get_megdnn_workspace_from_var(output().back()));
     }
 }
@@ -2389,4 +2383,4 @@ void BatchConvBiasForward::init_output_format() {
 #undef IMPL_CONV
 #undef MGB_FOREACH_FASTRUN_OPR
 
-// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}
\ No newline at end of file
+// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}