fixed a bug in the implementation

src/targets/cpu/gemm.cpp

@@ -105,7 +105,7 @@ void migemm_impl(tensor_view<T> cmat, tensor_view<T> amat, tensor_view<T> bmat,
 }
 
 template <class F>
-void migemm(const argument& c_arg, const argument& a_arg, const argument& b_arg, F alpha, F beta)
+void migemm_tpl(const argument& c_arg, const argument& a_arg, const argument& b_arg, F alpha, F beta)
 {
     visit_all(c_arg, a_arg, b_arg)(
         [&](auto cmat, auto amat, auto bmat) { migemm_impl(cmat, amat, bmat, alpha, beta); });
@@ -114,13 +114,13 @@ void migemm(const argument& c_arg, const argument& a_arg, const argument& b_arg,
 void migemm(
     const argument& c_arg, const argument& a_arg, const argument& b_arg, float alpha, float beta)
 {
-    migemm(c_arg, a_arg, b_arg, alpha, beta);
+    migemm_tpl(c_arg, a_arg, b_arg, alpha, beta);
 }
 
 void migemm(
     const argument& c_arg, const argument& a_arg, const argument& b_arg, int8_t alpha, int8_t beta)
 {
-    migemm(c_arg, a_arg, b_arg, alpha, beta);
+    migemm_tpl(c_arg, a_arg, b_arg, alpha, beta);
 }
 
 } // namespace cpu

src/targets/cpu/lowering.cpp

@@ -876,7 +876,7 @@ struct cpu_apply
         apply_map["im2col"]      = extend_op<cpu_im2col, op::im2col>();
         apply_map["convolution"] = extend_op<cpu_convolution, op::convolution>();
         apply_map["dot"]         = extend_op<cpu_gemm, op::dot>();
-        // apply_map["quant_dot"]   = extend_op<cpu_quant_gemm, op::quant_dot>();
+        apply_map["quant_dot"]   = extend_op<cpu_quant_gemm, op::quant_dot>();
         apply_map["batch_norm_inference"] =
             extend_op<cpu_batch_norm_inference, op::batch_norm_inference>();
         apply_map["lrn"]        = extend_op<cpu_lrn, op::lrn>();