diff --git a/example/ck_tile/01_fmha/fmha_fwd.cpp b/example/ck_tile/01_fmha/fmha_fwd.cpp
index c7e9f441b9..8b7020ebec 100644
--- a/example/ck_tile/01_fmha/fmha_fwd.cpp
+++ b/example/ck_tile/01_fmha/fmha_fwd.cpp
@@ -124,7 +124,7 @@ auto create_args(int argc, char* argv[])
                 "# of splits for key/value. 0 to determine actual number by heuristic")
         .insert(
             "rotary_dim", "0", "RoPE rotary dimension. rotary_dim <= 0 means not apply RoPE at all")
-        .insert("rotary_interleaved", "1", "weather to apply interleaving RoPE")
+        .insert("rotary_interleaved", "1", "whether to apply interleaved RoPE")
         .insert("warmup", "5", "number of iterations before benchmark the kernel")
         .insert("repeat", "20", "number of iterations to benchmark the kernel");
 
@@ -575,14 +575,18 @@ bool run(const ck_tile::ArgParser& arg_parser)
     {
         ck_tile::FillUniformDistributionIntegerValue<QDataType>{-3.f, 3.f, seed}(q_host);
         ck_tile::FillUniformDistributionIntegerValue<KDataType>{-3.f, 3.f, seed}(k_host);
+        ck_tile::FillUniformDistributionIntegerValue<KDataType>{-3.f, 3.f, seed}(knew_host);
         ck_tile::FillUniformDistributionIntegerValue<VDataType>{-3.f, 3.f, seed}(v_host);
+        ck_tile::FillUniformDistributionIntegerValue<VDataType>{-3.f, 3.f, seed}(vnew_host);
         ck_tile::FillUniformDistributionIntegerValue<BiasDataType>{-3.f, 3.f, seed}(bias_host);
     }
     else if(init_method == "ni")
     {
         ck_tile::FillNormalDistributionIntegerValue<QDataType>{-3.f, 3.f, seed}(q_host);
         ck_tile::FillNormalDistributionIntegerValue<KDataType>{-3.f, 3.f, seed}(k_host);
+        ck_tile::FillNormalDistributionIntegerValue<KDataType>{-3.f, 3.f, seed}(knew_host);
         ck_tile::FillNormalDistributionIntegerValue<VDataType>{-3.f, 3.f, seed}(v_host);
+        ck_tile::FillNormalDistributionIntegerValue<VDataType>{-3.f, 3.f, seed}(vnew_host);
         ck_tile::FillNormalDistributionIntegerValue<BiasDataType>{-3.f, 3.f, seed}(bias_host);
     }
     else if(init_method == "uf" || init_method == "1")
@@ -598,14 +602,18 @@ bool run(const ck_tile::ArgParser& arg_parser)
     {
         ck_tile::FillNormalDistribution<QDataType>{0.f, 3.f, seed}(q_host);
         ck_tile::FillNormalDistribution<KDataType>{0.f, 3.f, seed}(k_host);
+        ck_tile::FillNormalDistribution<KDataType>{0.f, 3.f, seed}(knew_host);
         ck_tile::FillNormalDistribution<VDataType>{0.f, 3.f, seed}(v_host);
+        ck_tile::FillNormalDistribution<VDataType>{0.f, 3.f, seed}(vnew_host);
         ck_tile::FillNormalDistribution<BiasDataType>{0.f, 3.f, seed}(bias_host);
     }
     else if(init_method == "tf" || init_method == "2")
     {
         ck_tile::FillTrigValue<QDataType>{}(q_host);
         ck_tile::FillTrigValue<KDataType>{}(k_host);
+        ck_tile::FillTrigValue<KDataType>{}(knew_host);
         ck_tile::FillTrigValue<VDataType>{}(v_host);
+        ck_tile::FillTrigValue<VDataType>{}(vnew_host);
         ck_tile::FillTrigValue<BiasDataType>{}(bias_host);
     }
     else if(init_method == "ufq" || init_method == "uf:q" ||
@@ -613,7 +621,9 @@ bool run(const ck_tile::ArgParser& arg_parser)
     {
         ck_tile::FillUniformDistribution<QDataType>{-dtype_max, dtype_max, seed}(q_host);
         ck_tile::FillUniformDistribution<KDataType>{-dtype_max, dtype_max, seed}(k_host);
+        ck_tile::FillUniformDistribution<KDataType>{-dtype_max, dtype_max, seed}(knew_host);
         ck_tile::FillUniformDistribution<VDataType>{-dtype_max, dtype_max, seed}(v_host);
+        ck_tile::FillUniformDistribution<VDataType>{-dtype_max, dtype_max, seed}(vnew_host);
 
         // bias_fp8 = qscale_bias * bias_fp32
         float qscale_bias = (dtype_max / range_q) * (dtype_max / range_k);