diff --git a/example/ck_tile/37_grouped_convolution/CMakeLists.txt b/example/ck_tile/19_grouped_convolution/CMakeLists.txt
similarity index 100%
rename from example/ck_tile/37_grouped_convolution/CMakeLists.txt
rename to example/ck_tile/19_grouped_convolution/CMakeLists.txt
diff --git a/example/ck_tile/37_grouped_convolution/grouped_convolution_forward.cpp b/example/ck_tile/19_grouped_convolution/grouped_convolution_forward.cpp
similarity index 98%
rename from example/ck_tile/37_grouped_convolution/grouped_convolution_forward.cpp
rename to example/ck_tile/19_grouped_convolution/grouped_convolution_forward.cpp
index a2c5da56b3..8cdcbaa112 100644
--- a/example/ck_tile/37_grouped_convolution/grouped_convolution_forward.cpp
+++ b/example/ck_tile/19_grouped_convolution/grouped_convolution_forward.cpp
@@ -20,12 +20,10 @@ template <ck_tile::index_t NDimSpatial,
           typename InLayout,
           typename WeiLayout,
           typename OutLayout>
-float grouped_conv_fwd_calc(const ck_tile::GroupedConvHostArgs& args,
-                            const ck_tile::stream_config& s)
+float grouped_conv_fwd(const ck_tile::GroupedConvHostArgs& args, const ck_tile::stream_config& s)
 {
     constexpr int kBlockPerCu = 1;
 
-    // This part comes from the Codegen
     constexpr ck_tile::index_t M_Tile = 64;
     constexpr ck_tile::index_t N_Tile = 64;
     constexpr ck_tile::index_t K_Tile = 64;
diff --git a/example/ck_tile/37_grouped_convolution/grouped_convolution_utils.hpp b/example/ck_tile/19_grouped_convolution/grouped_convolution_utils.hpp
similarity index 95%
rename from example/ck_tile/37_grouped_convolution/grouped_convolution_utils.hpp
rename to example/ck_tile/19_grouped_convolution/grouped_convolution_utils.hpp
index f514006894..ddaa36605c 100644
--- a/example/ck_tile/37_grouped_convolution/grouped_convolution_utils.hpp
+++ b/example/ck_tile/19_grouped_convolution/grouped_convolution_utils.hpp
@@ -23,7 +23,10 @@ ck_tile::index_t fill_spatial_dimensions(std::vector<ck_tile::index_t>& filter_s
     constexpr ck_tile::index_t non_sp_dims = 3;
     const ck_tile::index_t n_dim_sp        = arg_parser.get_str("in_layout").size() - non_sp_dims;
 
-    assert(n_dim_sp >= 1 && n_dim_sp <= 3 && "Wrong layout!");
+    if(!(n_dim_sp >= 1 && n_dim_sp <= 3))
+    {
+        throw std::runtime_error("Wrong layout!\n");
+    }
 
     if(n_dim_sp == 3)
     {
@@ -101,4 +104,4 @@ auto create_args(int argc, char* argv[])
 }
 
 // host API
-float gemm_calc(const ck_tile::GroupedConvHostArgs& args, const ck_tile::stream_config& s);
+float grouped_conv_fwd(const ck_tile::GroupedConvHostArgs& args, const ck_tile::stream_config& s);
diff --git a/example/ck_tile/37_grouped_convolution/run_grouped_convolution_example.inc b/example/ck_tile/19_grouped_convolution/run_grouped_convolution_example.inc
similarity index 98%
rename from example/ck_tile/37_grouped_convolution/run_grouped_convolution_example.inc
rename to example/ck_tile/19_grouped_convolution/run_grouped_convolution_example.inc
index 35c53146c8..c72b17abd6 100644
--- a/example/ck_tile/37_grouped_convolution/run_grouped_convolution_example.inc
+++ b/example/ck_tile/19_grouped_convolution/run_grouped_convolution_example.inc
@@ -116,8 +116,8 @@ int run_grouped_conv_fwd_example_with_layouts(
 
     if(init_method == 0)
     {
-        ck_tile::FillUniformDistribution<InDataType>{-1.f, 1.f}(input);
-        ck_tile::FillUniformDistribution<WeiDataType>{-1.f, 1.f}(weight);
+        ck_tile::FillUniformDistribution<InDataType>{-5.f, 5.f}(input);
+        ck_tile::FillUniformDistribution<WeiDataType>{-5.f, 5.f}(weight);
     }
     else if(init_method == 1)
     {
diff --git a/example/ck_tile/CMakeLists.txt b/example/ck_tile/CMakeLists.txt
index af575dd9c2..69d929fbe9 100644
--- a/example/ck_tile/CMakeLists.txt
+++ b/example/ck_tile/CMakeLists.txt
@@ -18,6 +18,6 @@ add_subdirectory(15_fused_moe)
 add_subdirectory(16_batched_gemm)
 add_subdirectory(17_grouped_gemm)
 add_subdirectory(18_flatmm)
+add_subdirectory(19_grouped_convolution)
 add_subdirectory(35_batched_transpose)
 add_subdirectory(36_copy)
-add_subdirectory(37_grouped_convolution)