fix with better naming convention

example/ck_tile/03_gemm/gemm_basic.cpp

@@ -68,8 +68,8 @@ float gemm_calc(gemm_basic_args& args, const ck_tile::stream_config& s)
 
     // ===============================================
 
-    using Shape = ck_tile::TileGemmShapeNewGemm<
-        ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
+    using Shape =
+        ck_tile::TileGemmShapeNewGemm<ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
                                       ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
                                       ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
     using TilePartitioner = ck_tile::GemmTilePartitioner<Shape>;
@@ -83,9 +83,9 @@ float gemm_calc(gemm_basic_args& args, const ck_tile::stream_config& s)
     // Now we only use the BlockGemmASmemBSmemCRegV1DefaultPolicy.
     using Kernel = ck_tile::GemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue, Layouts>;
 
-    auto kargs = Kernel::MakeKargs(args.p_x,
-                                   args.p_y,
-                                   args.p_z,
+    auto kargs = Kernel::MakeKargs(args.p_a,
+                                   args.p_b,
+                                   args.p_c,
                                    args.batch_size,
                                    args.epsilon,
                                    args.M,
@@ -105,9 +105,9 @@ float gemm_calc(gemm_basic_args& args, const ck_tile::stream_config& s)
 }
 
 template <typename DataType, typename Layouts>
-float OperatorExecution(ck_tile::DeviceMem& x_buf,
-                        ck_tile::DeviceMem& y_buf,
-                        ck_tile::DeviceMem& z_buf,
+float OperatorExecution(ck_tile::DeviceMem& a_buf,
+                        ck_tile::DeviceMem& b_buf,
+                        ck_tile::DeviceMem& c_buf,
                         const ck_tile::ArgParser& arg_parser)
 {
 
@@ -131,9 +131,9 @@ float OperatorExecution(ck_tile::DeviceMem& x_buf,
     ck_tile::index_t stride_c = arg_parser.get_int("stride_c");
 
     gemm_basic_args args;
-    args.p_x        = x_buf.GetDeviceBuffer();
-    args.p_y        = y_buf.GetDeviceBuffer();
-    args.p_z        = z_buf.GetDeviceBuffer();
+    args.p_a        = a_buf.GetDeviceBuffer();
+    args.p_b        = b_buf.GetDeviceBuffer();
+    args.p_c        = c_buf.GetDeviceBuffer();
     args.epsilon    = epsilon;
     args.batch_size = batch_size;
     args.M          = M;
@@ -222,37 +222,38 @@ int main(int argc, char* argv[])
     ck_tile::index_t N              = arg_parser.get_int("n");
     ck_tile::index_t K              = arg_parser.get_int("k");
 
+    // The Matrix Multiplication goes with Matrix A (M, K), Matrix B (N, K) = Matrix C (M, N).
     constexpr ck_tile::MatrixALayout matrix_a_layout = ck_tile::MatrixALayout::MK;
     constexpr ck_tile::MatrixBLayout matrix_b_layout = ck_tile::MatrixBLayout::NK;
     constexpr ck_tile::MatrixCLayout matrix_c_layout = ck_tile::MatrixCLayout::MN;
 
     using Layouts = LayoutConfig<matrix_a_layout, matrix_b_layout, matrix_c_layout>;
     // host verify
-    std::vector<int> x_dimensions = (matrix_a_layout == ck_tile::MatrixALayout::MK)
+    std::vector<int> a_dimensions = (matrix_a_layout == ck_tile::MatrixALayout::MK)
                                         ? std::vector<int>{M, K}
                                         : std::vector<int>{K, M};
-    std::vector<int> y_dimensions = (matrix_b_layout == ck_tile::MatrixBLayout::NK)
+    std::vector<int> b_dimensions = (matrix_b_layout == ck_tile::MatrixBLayout::NK)
                                         ? std::vector<int>{N, K}
                                         : std::vector<int>{K, N};
-    std::vector<int> z_dimensions = (matrix_c_layout == ck_tile::MatrixCLayout::MN)
+    std::vector<int> c_dimensions = (matrix_c_layout == ck_tile::MatrixCLayout::MN)
                                         ? std::vector<int>{M, N}
                                         : std::vector<int>{N, M};
 
-    ck_tile::HostTensor<XDataType> x_host(x_dimensions);
-    ck_tile::HostTensor<YDataType> y_host(y_dimensions);
+    ck_tile::HostTensor<XDataType> a_host(a_dimensions);
+    ck_tile::HostTensor<YDataType> b_host(b_dimensions);
 
-    ck_tile::HostTensor<ODataType> z_host_ref(z_dimensions);
-    ck_tile::HostTensor<ODataType> z_host_dev(z_dimensions);
+    ck_tile::HostTensor<ODataType> c_host_ref(c_dimensions);
+    ck_tile::HostTensor<ODataType> c_host_dev(c_dimensions);
 
-    ck_tile::FillUniformDistribution<XDataType>{-5.f, 5.f}(x_host);
-    ck_tile::FillUniformDistribution<YDataType>{-5.f, 5.f}(y_host);
+    ck_tile::FillUniformDistribution<XDataType>{-5.f, 5.f}(a_host);
+    ck_tile::FillUniformDistribution<YDataType>{-5.f, 5.f}(b_host);
 
-    ck_tile::DeviceMem x_buf(x_host.get_element_space_size_in_bytes());
-    ck_tile::DeviceMem y_buf(y_host.get_element_space_size_in_bytes());
-    ck_tile::DeviceMem z_buf(z_host_dev.get_element_space_size_in_bytes());
+    ck_tile::DeviceMem a_buf(a_host.get_element_space_size_in_bytes());
+    ck_tile::DeviceMem b_buf(b_host.get_element_space_size_in_bytes());
+    ck_tile::DeviceMem c_buf(c_host_dev.get_element_space_size_in_bytes());
 
-    x_buf.ToDevice(x_host.data());
-    y_buf.ToDevice(y_host.data());
+    a_buf.ToDevice(a_host.data());
+    b_buf.ToDevice(b_host.data());
 
     if(grouped_enable || following_op_descrp != "no")
     {
@@ -260,7 +261,7 @@ int main(int argc, char* argv[])
         return -1;
     }
 
-    OperatorExecution<ck_tile::half_t, Layouts>(x_buf, y_buf, z_buf, arg_parser);
+    OperatorExecution<ck_tile::half_t, Layouts>(a_buf, b_buf, c_buf, arg_parser);
 
     bool pass = true;
 
@@ -268,11 +269,11 @@ int main(int argc, char* argv[])
     {
         // ToDo: Will Add the Element Op (bias) verification in the future.
         ck_tile::reference_gemm<XDataType, YDataType, AccDataType, ODataType>(
-            x_host, y_host, z_host_ref, matrix_a_layout);
+            a_host, b_host, c_host_ref, matrix_a_layout);
 
-        z_buf.FromDevice(z_host_dev.data());
+        c_buf.FromDevice(c_host_dev.data());
 
-        pass = ck_tile::check_err(z_host_dev, z_host_ref);
+        pass = ck_tile::check_err(c_host_dev, c_host_ref);
 
         std::cout << "The veification result is:" << (pass ? "correct" : "fail") << std::flush;
     }

example/ck_tile/03_gemm/gemm_basic.hpp

@@ -62,9 +62,9 @@ using ODataType   = Types::ODataType;
 
 struct gemm_basic_args
 {
-    const void* p_x;
-    const void* p_y;
-    void* p_z;
+    const void* p_a;
+    const void* p_b;
+    void* p_c;
     float epsilon;
     ck_tile::index_t batch_size;
     ck_tile::index_t M;