feat(mgb/dnn): add matmul mk4 dot naive test

GitOrigin-RevId: 2f16d4f89b900101977270eb6446541e5d558a32

dnn/test/naive/matrix_mul.cpp

@@ -30,6 +30,7 @@ void run_matmul_mk_format(Handle* handle, param::MatrixMul::Format format,
     auto extra_impl = [](const TensorNDArray& tensors, param::MatrixMul param,
                          Handle* handle, size_t pack_size) {
         megdnn_assert((param.format == param::MatrixMul::Format::MK4 ||
+                       param.format == param::MatrixMul::Format::MK4_DOT ||
                        param.format == param::MatrixMul::Format::MK8) &&
                       tensors.size() == 3);
         param::MatrixMul new_param = param;
@@ -41,18 +42,34 @@ void run_matmul_mk_format(Handle* handle, param::MatrixMul::Format format,
         TensorLayoutArray default_layouts, mk4_layouts;
         if (param.transposeA) {
             default_layouts.emplace_back(tensors[0].layout.reshape({K, M}));
-            mk4_layouts.emplace_back(
-                    default_layouts.back()
-                            .reshape({K / pack_size, M / pack_size, pack_size,
-                                      pack_size})
-                            .dimshuffle({0, 2, 1, 3}));
+            if (param.format == param::MatrixMul::Format::MK4_DOT) {
+                mk4_layouts.emplace_back(
+                        default_layouts.back()
+                                .reshape({K / pack_size, M / pack_size,
+                                          pack_size, pack_size})
+                                .dimshuffle({0, 3, 1, 2}));
+            } else {
+                mk4_layouts.emplace_back(
+                        default_layouts.back()
+                                .reshape({K / pack_size, M / pack_size,
+                                          pack_size, pack_size})
+                                .dimshuffle({0, 2, 1, 3}));
+            }
         } else {
             default_layouts.emplace_back(tensors[0].layout.reshape({M, K}));
-            mk4_layouts.emplace_back(
-                    default_layouts.back()
-                            .reshape({M / pack_size, K / pack_size, pack_size,
-                                      pack_size})
-                            .dimshuffle({0, 3, 1, 2}));
+            if (param.format == param::MatrixMul::Format::MK4_DOT) {
+                mk4_layouts.emplace_back(
+                        default_layouts.back()
+                                .reshape({M / pack_size, K / pack_size,
+                                          pack_size, pack_size})
+                                .dimshuffle({0, 2, 1, 3}));
+            } else {
+                mk4_layouts.emplace_back(
+                        default_layouts.back()
+                                .reshape({M / pack_size, K / pack_size,
+                                          pack_size, pack_size})
+                                .dimshuffle({0, 3, 1, 2}));
+            }
         }
         if (param.transposeB) {
             default_layouts.emplace_back(tensors[1].layout.reshape({N, K}));
@@ -238,6 +255,11 @@ TEST_F(NAIVE, MATRIX_MUL_MK8) {
                          dtype::Int16(), dtype::Int16(), dtype::Int32());
 }
 
+TEST_F(NAIVE, MATRIX_MUL_MK4_DOT) {
+    run_matmul_mk_format(handle(), param::MatrixMul::Format::MK4_DOT,
+                         dtype::Int8(), dtype::Int8(), dtype::Int32());
+}
+
 TEST_F(NAIVE, MATRIX_MUL_BFLOAT16) {
     Checker<MatrixMul> checker(handle(), /* check_dispatch */ false);
     MatrixMul::Param param, fp32_param;