minor fixes

example/ck_tile/03_gemm/gemm_basic.cpp

@@ -124,6 +124,29 @@ float gemm(const gemm_traits& t, const ck_tile::GemmHostArgs& args, const ck_til
     }
 }
 
+auto create_args(int argc, char* argv[])
+{
+    ck_tile::ArgParser arg_parser;
+    arg_parser.insert("m", "3840", "m dimension")
+        .insert("n", "4096", "n dimension")
+        .insert("k", "2048", "k dimension")
+        .insert("a_layout", "R", "A tensor data layout - Row by default")
+        .insert("b_layout", "R", "B tensor data layout - Row by default")
+        .insert("c_layout", "R", "C tensor data layout - Row by default")
+        .insert("stride_a", "0", "Tensor A stride")
+        .insert("stride_b", "0", "Tensor B stride")
+        .insert("stride_c", "0", "Tensor C stride")
+        .insert("v", "2", "0. No validation, 1. Validation on CPU, 2. Validation on GPU")
+        .insert("prec", "fp16", "data type. fp16/bf16/fp8/bf8")
+        .insert("warmup", "50", "number of iterations before benchmark the kernel")
+        .insert("repeat", "100", "number of iterations to benchmark the kernel")
+        .insert("timer", "gpu", "gpu:gpu timer, cpu:cpu timer")
+        .insert("split_k", "1", "splitK value");
+
+    bool result = arg_parser.parse(argc, argv);
+    return std::make_tuple(result, arg_parser);
+}
+
 #include "run_gemm_example.inc"
 
 int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }

example/ck_tile/03_gemm/gemm_basic.hpp

@@ -105,29 +105,6 @@ struct gemm_traits_
     static constexpr bool kPadK                   = kPadK_;
 };
 
-auto create_args(int argc, char* argv[])
-{
-    ck_tile::ArgParser arg_parser;
-    arg_parser.insert("m", "3840", "m dimension")
-        .insert("n", "4096", "n dimension")
-        .insert("k", "2048", "k dimension")
-        .insert("a_layout", "R", "A tensor data layout - Row by default")
-        .insert("b_layout", "R", "B tensor data layout - Row by default")
-        .insert("c_layout", "R", "C tensor data layout - Row by default")
-        .insert("stride_a", "0", "Tensor A stride")
-        .insert("stride_b", "0", "Tensor B stride")
-        .insert("stride_c", "0", "Tensor C stride")
-        .insert("v", "2", "0. No validation, 1. Validation on CPU, 2. Validation on GPU")
-        .insert("prec", "fp16", "data type. fp16/bf16/fp8/bf8")
-        .insert("warmup", "50", "number of iterations before benchmark the kernel")
-        .insert("repeat", "100", "number of iterations to benchmark the kernel")
-        .insert("timer", "gpu", "gpu:gpu timer, cpu:cpu timer")
-        .insert("split_k", "1", "splitK value");
-
-    bool result = arg_parser.parse(argc, argv);
-    return std::make_tuple(result, arg_parser);
-}
-
 // host API
 template <typename Traits_>
 float gemm_(const ck_tile::GemmHostArgs& args, const ck_tile::stream_config& s);

example/ck_tile/03_gemm/instances/gemm_api.cpp

@@ -477,6 +477,4 @@ float gemm(const gemm_traits& t, const ck_tile::GemmHostArgs& a, const ck_tile::
     {
         throw std::runtime_error("Wrong! DataTypes not supported!\n");
     }
-
-    return 1.0f;
 }

example/ck_tile/03_gemm/universal_gemm.cpp

@@ -14,6 +14,29 @@
 #include "ck_tile/host.hpp"
 #include "gemm_basic.hpp"
 
+auto create_args(int argc, char* argv[])
+{
+    ck_tile::ArgParser arg_parser;
+    arg_parser.insert("m", "3840", "m dimension")
+        .insert("n", "4096", "n dimension")
+        .insert("k", "2048", "k dimension")
+        .insert("a_layout", "R", "A tensor data layout - Row by default")
+        .insert("b_layout", "R", "B tensor data layout - Row by default")
+        .insert("c_layout", "R", "C tensor data layout - Row by default")
+        .insert("stride_a", "0", "Tensor A stride")
+        .insert("stride_b", "0", "Tensor B stride")
+        .insert("stride_c", "0", "Tensor C stride")
+        .insert("v", "2", "0. No validation, 1. Validation on CPU, 2. Validation on GPU")
+        .insert("prec", "fp16", "data type. fp16/bf16/fp8/bf8")
+        .insert("warmup", "50", "number of iterations before benchmark the kernel")
+        .insert("repeat", "100", "number of iterations to benchmark the kernel")
+        .insert("timer", "gpu", "gpu:gpu timer, cpu:cpu timer")
+        .insert("split_k", "1", "splitK value");
+
+    bool result = arg_parser.parse(argc, argv);
+    return std::make_tuple(result, arg_parser);
+}
+
 #include "run_gemm_example.inc"
 
 int main(int argc, char* argv[]) { return !run_gemm_example(argc, argv); }