1/*******************************************************************************
2* Copyright 2021-2022 Intel Corporation
3*
4* Licensed under the Apache License, Version 2.0 (the "License");
5* you may not use this file except in compliance with the License.
6* You may obtain a copy of the License at
7*
8* http://www.apache.org/licenses/LICENSE-2.0
9*
10* Unless required by applicable law or agreed to in writing, software
11* distributed under the License is distributed on an "AS IS" BASIS,
12* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13* See the License for the specific language governing permissions and
14* limitations under the License.
15*******************************************************************************/
16
17#include "gpu/gpu_impl_list.hpp"
18
19#include "gpu/ocl/ref_layer_normalization.hpp"
20
21namespace dnnl {
22namespace impl {
23namespace gpu {
24
25namespace {
26using namespace dnnl::impl::prop_kind;
27
28// clang-format off
29const std::map<pk_impl_key_t, std::vector<impl_list_item_t>>
30 impl_list_map REG_LNORM_P({
31 {{forward}, {
32 INSTANCE(ocl::ref_layer_normalization_fwd_t)
33 nullptr,
34 }},
35 {{backward}, REG_BWD_PK({
36 INSTANCE(ocl::ref_layer_normalization_bwd_t)
37 nullptr,
38 })},
39});
40// clang-format on
41} // namespace
42
43const impl_list_item_t *get_layer_normalization_impl_list(
44 const layer_normalization_desc_t *desc) {
45 static const impl_list_item_t empty_list[] = {nullptr};
46
47 const bool is_fwd = utils::one_of(
48 desc->prop_kind, forward_training, forward_inference);
49 prop_kind_t prop_kind = is_fwd ? forward : backward;
50
51 const auto impl_list_it = impl_list_map.find({prop_kind});
52 return impl_list_it != impl_list_map.cend() ? impl_list_it->second.data()
53 : empty_list;
54}
55
56} // namespace gpu
57} // namespace impl
58} // namespace dnnl
59