feat(dnn/common): add matmul impl for naive with matrix format mk4_dot

GitOrigin-RevId: 7c6fbdfa973413b1b8d2f2fb0d18f8bb5ee7f243

dnn/scripts/opr_param_defs.py

@@ -433,7 +433,10 @@ pdef('PowC', 'power with constant exponent').add_fields('float32', 'exp', 0)
               'layout is (K/4, M/4, 4(k), 4(m)) x (K/4, N, 4(k))'),
           Doc('MK8', 'Split 8 from M and K, better for neon compute:'
               '(M/8, K/8, 8(k), 8(m)) x (K/8, N, 8(k)). if transposeA the '
-              'layout is (K/8, M/8, 8(k), 8(m)) x (K/8, N, 8(k))'))
+              'layout is (K/8, M/8, 8(k), 8(m)) x (K/8, N, 8(k))'), 
+          Doc('MK4_DOT', 'Split 4 from M and K, better for neon dotprod:'
+              'M/4, K/4, 4(m), 4(k)) x (K/4, N, 4(k)). if transposeA the '
+              'layout is (K/4, M/4, 4(m), 4(k)) x (K/4, N, 4(k))'))
  )
 
 (pdef('Winograd', 'winograd param used in convbias').

dnn/src/common/matrix_mul.cpp

@@ -186,6 +186,8 @@ size_t MatrixMulForward::pack_size(const Param::Format format) {
             return 1;
         case Param::Format::MK4:
             return 4;
+        case Param::Format::MK4_DOT:
+            return 4;
         case Param::Format::MK8:
             return 8;
         default:

dnn/src/naive/matrix_mul/matrix_mul_helper.h

@@ -82,6 +82,35 @@ void run_matrix_mul_mk4_tpl(const itype* A, const itype* B, otype* C, size_t M,
     }
 }
 
+template <typename itype, typename otype, bool transA, bool transB,
+          typename comp_type = otype>
+void run_matrix_mul_mk4_dot_tpl(const itype* A, const itype* B, otype* C,
+                                size_t M, size_t N, size_t K, size_t LDA,
+                                size_t LDB, size_t LDC, const DType& A_type,
+                                const DType& B_type) {
+    Getter<itype, comp_type> getterA(A_type), getterB(B_type);
+    for (size_t m = 0; m < M; ++m) {
+        for (size_t n = 0; n < N; ++n) {
+            comp_type res[4] = {comp_type(0)};
+            for (size_t k = 0; k < K; ++k) {
+                for (size_t i = 0; i < 4; i++) {
+                    comp_type av, bv;
+                    for (size_t j = 0; j < 4; j++) {
+                        av = transA ? getterA(A[k * LDA + m * 16 + 4 * i + j])
+                                    : getterA(A[m * LDA + k * 16 + 4 * i + j]),
+                        bv = transB ? getterB(B[n * LDB + k * 4 + j])
+                                    : getterB(B[k * LDB + n * 4 + j]);
+                        res[i] += av * bv;
+                    }
+                }
+            }
+            for (size_t i = 0; i < 4; i++) {
+                C[m * LDC + n * 4 + i] = res[i];
+            }
+        }
+    }
+}
+
 template <typename itype, typename otype, bool transA, bool transB,
           typename comp_type = otype>
 void run_matrix_mul_mk8_tpl(const itype* A, const itype* B, otype* C, size_t M,

dnn/src/naive/matrix_mul/opr_impl.cpp

@@ -49,6 +49,11 @@ void dispatch_ta_tb(_megdnn_tensor_in A, _megdnn_tensor_in B,
                 A.compatible_ptr<_itype>(), B.compatible_ptr<_itype>(),        \
                 C.compatible_ptr<_otype>(), M, N, K, LDA, LDB, LDC,            \
                 A.layout.dtype, B.layout.dtype);                               \
+    } else if (param.format == param::MatrixMul::Format::MK4_DOT) {            \
+        return run_matrix_mul_mk4_dot_tpl<_itype, _otype, TA, TB, _comp_type>( \
+                A.compatible_ptr<_itype>(), B.compatible_ptr<_itype>(),        \
+                C.compatible_ptr<_otype>(), M, N, K, LDA, LDB, LDC,            \
+                A.layout.dtype, B.layout.dtype);                               \
     } else if (param.format == param::MatrixMul::Format::MK8) {                \
         return run_matrix_mul_mk8_tpl<_itype, _otype, TA, TB, _comp_type>(     \
                 A.compatible_ptr<_itype>(), B.compatible_ptr<_itype>(),        \