diff --git a/example/ck_tile/01_fmha/codegen/ops/fmha_batch_prefill.py b/example/ck_tile/01_fmha/codegen/ops/fmha_batch_prefill.py
index ffb6d579ed..5d55e8bc36 100644
--- a/example/ck_tile/01_fmha/codegen/ops/fmha_batch_prefill.py
+++ b/example/ck_tile/01_fmha/codegen/ops/fmha_batch_prefill.py
@@ -84,6 +84,7 @@ using fmha_pipeline_problem_{F_idx} = ck_tile::BlockFmhaPipelineProblem<
     {F_mode},
     fmha_variant_{F_idx},
     fmha_mask_{F_idx},
+    false,
     fmha_trait_{F_idx}>;
 
 using fmha_pipeline_{F_idx} = {F_pipeline}<
@@ -98,7 +99,7 @@ using fmha_kernel_{F_idx} =
     ck_tile::FmhaBatchPrefillWithPagedKVCacheKernel<fmha_pipeline_{F_idx}, fmha_epilogue_{F_idx}>;
 
 using trait_{F_idx} = fmha_fwd_traits_<{F_hdim}, {F_dtype}, {F_mode},{F_bm0}, {F_bn0}, {F_bk0}, {F_bn1}, {F_bk1}, {F_bk0max}, {F_vlayout},
-                        {F_pipeline_enum}, {F_logits}, fmha_mask_{F_idx}, {F_bias}, {F_lse}, {F_dropout}, {F_squant}, {F_spad}, {F_skpad}, {F_dpad}, {F_dvpad}>;
+                        {F_pipeline_enum}, {F_logits}, fmha_mask_{F_idx}, {F_bias}, {F_lse}, {F_dropout}, {F_squant}, {F_spad}, {F_skpad}, {F_dpad}, {F_dvpad}, false>;
 
 #include <iostream>
 
@@ -177,7 +178,7 @@ FMHA_FWD_API_PER_HDIM_CASE="""        {F_if} (t.hdim_q <= {F_hdim} && t.hdim_v <
 
 FMHA_FWD_API_INNER_DISPATCH="""            {F_if}((t.is_group_mode == {F_mode}) && (t.is_v_rowmajor == {F_vlayout}) && (t.has_logits_soft_cap == {F_logits}) && ({F_mask_check}) && (t.bias_type == {F_bias_check}) && (t.has_lse == {F_lse})  && (t.has_dropout == {F_dropout}) && (t.do_fp8_static_quant == {F_squant}) &&
                         ({F_scheck}) && ({F_skcheck}) && ({F_dcheck}) && ({F_dvcheck}) && ({F_constraint})) {{
-                using trait_ = fmha_fwd_traits_<{F_hdim}, {F_dtype}, {F_mode}, {F_bm0}, {F_bn0}, {F_bk0}, {F_bn1}, {F_bk1}, {F_bk0max}, {F_vlayout}, {F_pipeline_enum}, {F_logits}, {F_mask}, {F_bias}, {F_lse}, {F_dropout}, {F_squant}, {F_spad}, {F_skpad}, {F_dpad}, {F_dvpad}>;
+                using trait_ = fmha_fwd_traits_<{F_hdim}, {F_dtype}, {F_mode}, {F_bm0}, {F_bn0}, {F_bk0}, {F_bn1}, {F_bk1}, {F_bk0max}, {F_vlayout}, {F_pipeline_enum}, {F_logits}, {F_mask}, {F_bias}, {F_lse}, {F_dropout}, {F_squant}, {F_spad}, {F_skpad}, {F_dpad}, {F_dvpad}, false>;
                 return fmha_batch_prefill_<trait_>(s, a);
             }}
 """
@@ -507,8 +508,8 @@ class KernelComponentFactory:
             for logits, mask, bias, lse, dropout in itertools.product(["t", "f"], get_mask_map(mask_impl).keys(), BIAS_MAP.keys(), ["t", "f"], ["t", "f"]):
                     pipelines.append(FmhaFwdPipeline('qr_async', 'row', 't', 'f', 't', 't', logits, bias, lse, dropout, squant, mask))
                     pipelines.append(FmhaFwdPipeline('qr_async', 'row', 't', 't', 't', 't', logits, bias, lse, dropout, squant, mask))
-                    pipelines.append(FmhaFwdPipeline('qr_async', 'col', 't', 'f', 't', 't', logits, bias, lse, dropout, squant, mask))
-                    pipelines.append(FmhaFwdPipeline('qr_async', 'col', 't', 't', 't', 't', logits, bias, lse, dropout, squant, mask))
+                    # pipelines.append(FmhaFwdPipeline('qr_async', 'col', 't', 'f', 't', 't', logits, bias, lse, dropout, squant, mask))
+                    # pipelines.append(FmhaFwdPipeline('qr_async', 'col', 't', 't', 't', 't', logits, bias, lse, dropout, squant, mask))
         else:
             assert False
         return pipelines