fix(opencl): fix MGE_WITH_OPENCL_ONLY crash on some

model, eg, use type_cvt.
at load stage, some(StaticInferOpr) naive op->exe will be called
do not check elemwise_multi_type, as ocl do not run quantization
model

GitOrigin-RevId: 510df237428ca76b02f7c776cdec683e52c1a7bc

dnn/src/naive/reduce/opr_impl.cpp

@@ -112,7 +112,6 @@ void reduce_fwd(
         }
 }
 
-#if !MGE_BUILD_WITHOUT_NAIVE_EXEC
 template <>
 void reduce_fwd<Mode::SUM>(
         const dt_quint8* __restrict, dt_quint8* __restrict, size_t, size_t, size_t) {
@@ -176,7 +175,6 @@ void reduce_fwd<Mode::PRODUCT>(
             "Reduce (PRODUCT) with DEFAULT DataType is not supported "
             "on QuantizedS8");
 }
-#endif
 
 template <Mode mode>
 void dispatch_dtype(
@@ -240,7 +238,6 @@ size_t ReduceForwardImpl::get_workspace_in_bytes(
 
 void ReduceForwardImpl::exec(
         _megdnn_tensor_in src, _megdnn_tensor_out dst, _megdnn_workspace workspace) {
-#if !MGE_BUILD_WITHOUT_NAIVE_EXEC
     using namespace reduce;
     check_exec(src.layout, dst.layout, workspace.size);
     size_t A, B, C;
@@ -307,9 +304,6 @@ void ReduceForwardImpl::exec(
             megdnn_assert_internal(false);
     }
 #undef CASE
-#else
-    __builtin_trap();
-#endif
 }
 
 }  // namespace naive

dnn/src/naive/type_cvt/opr_impl.cpp

@@ -78,7 +78,6 @@ void on_dest_ctype(HandleImpl* handle, const TensorND& dest, const TensorND& src
 }  // anonymous namespace
 
 void TypeCvtImpl::exec(_megdnn_tensor_in src, _megdnn_tensor_out dst) {
-#if !MGE_BUILD_WITHOUT_NAIVE_EXEC
     check_exec(src.layout, dst.layout);
 
     // exec
@@ -96,9 +95,6 @@ void TypeCvtImpl::exec(_megdnn_tensor_in src, _megdnn_tensor_out dst) {
 #undef cb
                         default : megdnn_throw("bad dtype");
     }
-#else
-    __builtin_trap();
-#endif
 }
 
 // vim: syntax=cpp.doxygen